The Scientific World Journal

Volume 2012 (2012), Article ID 708292, 31 pages

doi:10.1100/2012/708292

Review Article

Interaction of Herbal Compounds with Biological Targets: A Case Study with Berberine

Xiao-Wu Chen,¹ Yuan Ming Di,² Jian Zhang,³ Zhi-Wei Zhou,² Chun Guang Li,² and Shu-Feng Zhou2,4

¹Department of General Surgery, The First People’s Hospital of Shunde, Southern Medical University, Shunde, Guangdong 528300, China

²School of Health Sciences and Health Innovations Research Institute, RMIT University, Bundoora, VIC 3083, Australia

³Department of Surgery, The Third Hospital of Nanchang, Jiangxi, Nanchang 330009, China

⁴Department of Pharmaceutical Science, College of Pharmacy, University of South Florida, 12901 Bruce B. Downs Boulevard, MDC 30, Tampa, FL 33612, USA

Received 7 June 2012; Accepted 8 July 2012

Academic Editors: H.-W. Chang, L.-Y. Chuang, and S. Yasmin

Copyright © 2012 Xiao-Wu Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Berberine is one of the main alkaloids found in the Chinese herb Huang lian (Rhizoma Coptidis), which has been reported to have multiple pharmacological activities. This study aimed to analyze the molecular targets of berberine based on literature data followed by a pathway analysis using the PANTHER program. PANTHER analysis of berberine targets showed that the most classes of molecular functions include receptor binding, kinase activity, protein binding, transcription activity, DNA binding, and kinase regulator activity. Based on the biological process classification of in vitro berberine targets, those targets related to signal transduction, intracellular signalling cascade, cell surface receptor-linked signal transduction, cell motion, cell cycle control, immunity system process, and protein metabolic process are most frequently involved. In addition, berberine was found to interact with a mixture of biological pathways, such as Alzheimer’s disease-presenilin and -secretase pathways, angiogenesis, apoptosis signalling pathway, FAS signalling pathway, Hungtington disease, inflammation mediated by chemokine and cytokine signalling pathways, interleukin signalling pathway, and p53 pathways. We also explored the possible mechanism of action for the anti-diabetic effect of berberine. Further studies are warranted to elucidate the mechanisms of action of berberine using systems biology approach.

1. Introduction

The majority of clinical drugs achieve their effect by binding to a cavity and regulating the cavity, of its protein targets [1]. In general, drugs act on four main types of regulatory proteins that mediate the actions of hormones, neurotransmitters, and autacoids. These four types of regulatory proteins are carriers, proteins, ion channels, and receptors [2]. Certain characteristics are expected for therapeutic targets [3]. A potential target needs only not to be druggable but also linked to disease, most preferably playing critical and inimitable roles in disease state. Binding sites are to have certain structural and physiochemical properties to accommodate high-affinity site-specific binding and subsequent regulation of protein activity by drugs. They are not significantly involved in other important biological processes to avoid potential side effects. Useful information about these targets may be investigated by analysing their sequence properties, protein families, structural folds, biochemical classes, similarity proteins, gene location in the human genome, and associated pathways [4]. This information can be potentially useful in derivation of rule and developing predictive tools in the search for druggable and potential targets [4].

The number of molecular targets acted on by current drug therapy is still in dispute. In 1996, Drews and Ryser identified a total of 483 drug targets addressed by drug therapy [5, 6]. Approximately 45% are cell membrane receptors, 28% are enzymes, and the remaining classes comprise hormones (11%), ion channels (5%), nuclear receptors (2%), and DNA (2%). About 7% of the targets are not known biochemically. Later, Hopkins and Groom challenged this figure and suggested that “rule-of-five” compliant drugs acted primarily through only 120 underlying molecular targets [3, 7]. However, the statistical analysis of disease genes and related proteins suggested that the total number of the estimated potential targets in the human genome ranges from 600 to 1,500 [3]. In the meantime, another report showed the estimated total number of distinct targets is in the range of 1,700–3,000 [8]. Chen et al. reported targets collected in the Therapeutic Target Database [9] is 997 distinct proteins, 1,494 distinct protein subtypes, and 41 nucleic acids, which are only targeted by at least one marketed drug and 1,267 research targets, which are only targeted by investigational agents that are not approved for clinical use at present [4]. Targets for neoplasm diseases, circulatory system diseases, infectious diseases, and nervous system and sense organs disorders constitute the largest number of targets [1]. An increase in target numbers is made possible by advances in genomics, proteomics, better molecular understanding of diseases, and increased effort in the exploration of new therapeutic targets as well as increased knowledge of unknown or unreported targets of previous existing drugs. An improvement in technology for target identification and validation also contributes greatly.

Chinese herbal medicine (CHM) has always been an integral part of traditional Chinese medicine (TCM), which has been practiced in the east for thousands of years. Chinese herbs are usually in the forms of dried whole plants or parts of the plants (roots, leaves, body, etc.); sometimes shells and even minerals are used. Chinese herbs are often used in a compound formula, consisting of several different herbs hosting different roles according to the principle of Jun-Chen-Zuo-Shi described by the ancient Chinese. Each of Jun, Chen, Zuo, and Shi function together to harmonise the body, with Shi (courier) herbs are included in many formulae to ensure that all components in the prescription are well absorbed and to help to deliver or guide them to the target organs [10]. On some level, the guiding function of Shi herbs relates to modern drug delivery techniques, guiding the drug compound to target tissues. In the modern world, complementary medicine has gained vast popularity in the West. There has been increased use of herbal medicine to manage chronic diseases and promote wellbeing, in countries such as Australia, New Zealand, USA, and Europe [11]. Reports show that 18.9% of the American population used natural products in the precedent year [12]. This increase in popularity is closely related to its proven effectiveness in clinical practice over the past centuries. To date, more than 11,000 species of plants are used medicinally and about 300 are commonly used [13].

Despite its widespread use, CHM is associated with high levels of uncertainty. This is mainly due to lack of evidence, base of efficacy, targets, and safety data. During the process of therapeutic drug development, owing to the preselection of targets, researchers have a basic if not full understanding of which molecular structures the drug will react with or which biological pathway in the body it might alter. Knowledge on molecular interactions and modulations of the drug is anticipated and researched on. However, this is not the case for CHM. There is no preselection of molecular targets in the body but CHM has been used for thousands of years and is proven to be effective. The exact mechanism of the herbs actions is yet to be elucidated.

The proven clinical efficacy of some herbal medicines is considered to be due to the interaction of pharmacologically active components from the herbs with molecular targets in the body. Similar to synthetic drugs, active compounds of herbal medicine may bind to and undergo interactions with molecular structures or herbal targets to produce therapeutic or adverse effects. However, there is a lack of understanding of how CHMs exert their biological and clinical effects at a molecular level, which impedes development of CHMs and the incorporation of CHMs into mainstream medicine in the West.

Berberine (Figure 1, molecular formula C₂₀H₁₉NO₅ and a molecular weight of 353.36) is an isoquinoline alkaloid found in many medicinal plants [14]. It is a major constituent of many medicinal plants of families Papaveraceae, Berberidaceae, Fumariaceae, Menispermaceae, Ranunculaceae, Rutaceae, and Annonaceae [15]. It is present in Hydrastis canadensis (goldenseal), Coptis chinensis (Coptis or goldenthread), Berberis aquifolium (Oregon grape), Berberis vulgaris (barberry), and Berberis aristata (tree turmeric). The berberine alkaloid can be found in the roots, rhizomes, and stem bark of the plants. Berberine is one of the main alkaloids found in the Chinese herb Huang Lian (Rhizoma coptidis) [16]. Huang Lian has traditionally been used to treat diarrhoea and diabetes. In China, berberine has been manufactured into the over-the-counter drug Huang Lian Su Pian, also known as Coptis Extract Tablets for the treatment of traveler’s diarrhoea [14, 17]. In recent years, there has been a growing interest in the pharmacological activities of berberine and many studies have been carried out to elucidate the mechanisms of action of berberine. This study aims to review molecular targets of berberine based on in vitro studies. Berberine has shown to have good hypoglycaemic effects, so we also reviewed the effects of berberine in animal and human studies, with a focus on diabetes mellitus.

Figure 1: Chemical structure of berberine.

2. Methods

2.1. Data Retrieval from the Literature

In vitro studies related to berberine and its targets were searched using Pubmed (from inception to April 2012). Search terms used were a combination of “berberine,” “in vitro,” “human cell,” and “mechanism.” Only studies using human cell lines were used to extract current berberine targets. Studies using animal cell lines or berberine derivatives or in a language other than English were excluded. Information extracted from these studies includes molecular targets of berberine (name and gene symbols), cell type, effects of berberine, and possible clinical applications.

2.2. PANTHER Analysis

Using the PANTHER Classification System, in vitro berberine targets were analysed using three approaches: molecular function, biological process, and pathway involvement Table 2. PANTHER is a publicly available database that relates protein sequence evolution to evolution of protein functions and biological roles (http://www.pantherdb.org/).

3. Results

3.1. Targets of Berberine

A total of 90 berberine targets were identified in our literature search, as shown in Table 1.

Table 1: Potential targets of berberine.

Target names
Target gene symbol
Cells
Effects
Possible clinical applications
References

72 kDa type IV collagenase
MMP2
HUVECs, tongue cancer SCC-4 cells, gastric carcinoma SNU-5 cells, lung cancer A549 cells, and U-87 glioma cells
Downregulation of MMP2 mRNA and protein expression, reduced MMP-2 levels
Antimetastatic
[18, 69–72]

Acetyl-Coenzyme A carboxylase-α
ACACA
HepG2 hepatoma cells
Phosphorylation
Antihyperlipidemic
[73]

α-Fetoprotein
AFP
HepG2 hepatoma cells
Reduced secretion of alpha fetoprotein
Apoptosis
[74]

Amyloid-β (A4) precursor protein (peptidase nexin-II, Alzheimer disease)
APP
Neuroglioma H4 cells
Reduces amyloid-β peptide (Aβ) levels via modulation of APP
Alzheimer disease
[75]

Bcl-X
BCL2L1
Colonic carcinoma cells, HepG2 cells/A549 cells, prostate carcinoma cells (DU145 and PC-3, LNCaP), Jurkat cells
JNK/p38 pathway and induction of ROS production. Decreased expression
Cell apoptosis, anticancer, and anti-inflammatory
[19–21, 30, 76, 77]

Arylamine -acetyltransferase 1
NAT
Leukemia HL-60 cells, colon tumour cells, brain tumour cells (G95/VGH and GBM 8401)
Decrease in -acetyltransferase (NAT) protein and expression of mRNA
Anticancer (leukemia, colon cancer, brain tumour, etc.)
[78–80]

ATP-binding cassette subfamily G member 2
ABCG2
MCF-7 breast cancer cells
Decrease in ABCG2 expression
Breast cancer
[81]

Baculoviral IAP repeat-containing protein 2 (antiapoptosis factor c-IPA-1)
BIRC2
Jurkat cells, colonic carcinoma cells (SW620)
Suppresses expression of antiapoptosis factor IAP1
Anticancer
[19, 77]

Baculoviral IAP repeat-containing protein 3
BIRC3
Jurkat cells
Suppresses expression of antiapoptosis factor IAP2
Anticancer
[77]

Baculoviral IAP repeat-containing protein 5 (Survivin)
BIRC5
Jurkat cells
Suppresses expression of survivin
Anticancer and anti-inflammatory agent
[77]

B-cell CLL/lymphoma 2
BCL2
HepG2 cells, oral squamous cell carcinoma, tongue cancer SCC-4 cells, colonic carcinoma cells, lung cancer cells, breast cancer MCF-7 (estrogen receptor+) cells, prostate carcinoma cells (DU145 and PC-3, LNCaP), activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Bcl-2 Downregulation
Cell apoptosis, cancer, and ER antagonist adjuvant therapy
[19–23, 30, 34, 82, 83]

B-cell lymphoma 3-encoded protein
Bcl-3
Gastric carcinoma SNU-5 cells
Downregulation of Bcl-3
Gastric cancer
[24]

Bcl2 antagonist of cell death
BAD
Human oral squamous cell carcinoma
Increased expression of proapoptotic BAD protein
Antitumour
[23]

BCL2-associated X protein
BAX
Gastric carcinoma SNU-5 cells, prostate carcinoma cells (DU145, PC-3, LNCaP and PWR-1E), leukemia HL-60, tongue cancer SCC-4 cells, lung cancer cells, activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Upregulation of Bax, increased expression. G2/M phase arrest
Cell apoptosis, gastric cancer
[18, 20, 21, 24, 29, 30, 83, 84]

BH3-interacting domain death agonist p11
BID
Colonic carcinoma cells/HepG2 cells
JNK/p38 pathway and induction of ROS production
Induction of apoptosis
[19, 76]

C/EBP homologous protein (CHOP) or growth arrest- and DNA damage-inducible gene 153 (GADD153) or DNA damage-inducible transcript 3
GADD153/DDIT3
Cervical cancer

Ca Ski cells
Induced expression of GADD153
Cervical cancer
[85]

CASP8 and FADD-like apoptosis regulator subunit p12
CFLAR/cFLIP
Jurkat cells
Suppresses expression of cFLIP
Anticancer and anti-inflammatory
[77]

Caspase 3
CASP3
Tongue cancer SCC-4 cells, neuroblastoma (SK-N-SH), glioblastoma T98G cells, gastric carcinoma SNU-5 cells, HL-60 cells, prostate carcinoma cells (DU145, PWR-1E, PC-3 and LNCaP), colonic carcinoma cells, hepatoma cells, oral squamous cell carcinoma, promonocytic U937 cells, lung cancer A549, H1301 cells, activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs), BIU-87 and T24 bladder cancer cells
Activation of caspase-3, G2/M phase arrest
Anticancer
[18–21, 23–25, 30, 33, 76, 83, 86–89]

Caspase 8
CASP8
Tongue cancer SCC-4 cells, colonic carcinoma cells, hepatoma cells, oral squamous cell carcinoma
Activated caspase 8
Anticancer
[18, 19, 23, 76]

Caspase 9
CASP9
Tongue cancer SCC-4 cells, glioblastoma T98G, oral squamous carcinoma, promonocytic U937 cells, prostate carcinoma cells (DU145 and PC-3, LNCaP), activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs), BIU-87 and T24 bladder cancer cells
Activation of caspase 9
Cell apoptosis, anticancer
[18, 21, 23, 30, 33, 83, 86, 87, 89, 90]

Cdc42 effector protein 1
CDC42EP1
Nasopharyngeal carcinoma (HONE1) cells
Suppression of Rho GTPases activation (Cdc42)
Cancer metastasis inhibition
[91]

Cell division protein kinase 6
CDK6
Prostate carcinoma cells (DU145 and PC-3, LNCaP), activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Decrease in Cdk6
Cell apoptosis, cancer
[21, 30, 83]

Cellular tumor antigen p53
TP53
Gastric carcinoma SNU-5 cells, osteosarcoma
Increased expression of p53 protein, cell cycle arrest at G1G2/M phase arrest
Anticancer (gastric cancer, osteosarcoma)
[24, 92]

Chemokine (C-C motif) ligand 2 (monocyte chemotactic protein-1)
CCL2
Retinal pigment epithelial cell line
Inhibits CCL2 (MCP-1) expression
Anti-inflammatory
[93]

Cyclic AMP-dependent transcription factor ATF-3
ATF3
Colorectal cancer cells
Induces ATF3 expression
Colorectal cancer
[94]

Cyclin-dependant kinase 1/cell division control protein 2 homolog
CDK1/CDC2
HL-60 cell, gastric carcinoma SNU-5 cells
Inactivation of Cdc2 (CDK1) or decreased protein expression
Antiproliferative and proapoptotic
[24, 95]

Cyclin E1
CCNE1
Neuroblastoma (SK-N-SK), glioblastoma T98G cells, activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Decrease in cyclin E
Anticancer
[25, 83, 90]

Cyclin-dependent kinase 2
CDK2
Neuroblastoma (SK-N-SK), glioblastoma T98G cells, prostate carcinoma cells (DU145 and PC-3, LNCaP), activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Decrease in Cdk2
Cell apoptosis, anticancer
[21, 25, 30, 83, 90]

Cyclin-dependent kinase 4
CDK4
Neuroblastoma (SK-N-SK), glioblastoma T98G cells, prostate carcinoma cells (DU145 and PC-3, LNCaP), activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Decrease in Cdk4
Cell apoptosis, anticancer
[21, 25, 30, 83, 90]

Cyclin-dependent kinase inhibitor 1 (p21)
CDKN1A
Brest cancer MCF-7 (estrogen receptor+) cells, epidermoid carcinoma A431 cells, activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Increased expression of p21
Breast cancer, ER antagonist adjuvant therapy
[21, 30, 82, 83]

Cyclin-dependent kinase inhibitor 1B (P27/KIP1)
CDKN1B
Epidermoid carcinoma A431 cells, activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Increased expression of Cdki proteins
Cell apoptosis, cancer
[21, 30, 83]

Cytochrome c-1
CYC1
Tongue cancer SCC-4 cells, colonic carcinoma cells, promyelocytic leukemia HL-60 cells
Release of cytochrome c-1
Anticancer
[18, 19, 84, 86]

CYP2C9
CYP2C9
Recombinant CYP
Inhibition of CYP2C9
Drug interactions
[96]

CYP2D6
CYP2D6
Recombinant CYP
Inhibition of CYP2D6
Drug interactions
[96]

CYP3A4
CYP3A4
Caco-2 cells, patients
CYP3A4 Downregulation and inhibition
Drug interactions
[97, 98]

Dipeptidyl-peptidase 4 (CD26, adenosine deaminase complexing protein 2)
DPP4
Recombinant DPP4
Inhibition of DPP4
—
[99]

Early activation antigen CD69
CD69
Human peripheral lymphocytes
Reduced expression of CD69
Immunosuppressive agent
[100]

Epidermal growth factor receptor
EGFR
Brest cancer MCF-7 (estrogen receptor+) cells
EGFRdownregulated
Breast cancer, ER antagonist adjuvant therapy
[82]

Ezrin
EZR
Nasopharyngeal carcinoma 5–8F cells
Ezrin inhibition
Anticancer
[26]

G1/S-specific cyclin-D1
CCND1
Giant cell carcinoma cell line, HL-60 cell, prostate carcinoma cells (DU145 and PC-3, LNCaP), Jurkat cells, neuroblastoma (SK-N-SK), activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Inhibits expression of cyclin D1
Antiproliferative and proapoptotic, anticancer, anti-inflammatory
[21, 25, 30, 32, 77, 83, 95]

G1/S-specific cyclin-D2
CCND2
Prostate carcinoma cells (DU145 and PC-3, LNCaP), activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Decrease in cyclin D2
Cell apoptosis, cancer
[21, 30, 83]

G1/S-specific cyclin-E1
CCNE1
Prostate carcinoma cells (DU145 and PC-3, LNCaP), activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Decrease in cyclin E
Cell apoptosis, cancer
[21, 30, 83]

G2/mitotic-specific cyclin-B1
CCNB1
Gastric carcinoma SNU-5 cells
Decreased cyclin B, G2/M phase arrest
Cell apoptosis, anticancer
[24]

Glucagon-like peptide (GCG/GLP-1/GLP-2)
GCG
NCI-H716 cells
Enhanced glucagon-like peptide (GLP)-1
Antidiabetic agent
[42]

Growth/differentiation factor 15 (NAG-1)
GDF15
Colorectal cancer cells
Induces NAG-1 expression
Colorectal cancer
[94]

Hypoxia-inducible factor 1α
HIF1A
HUVECs, HepG2 cells
Prevention and reduction of HIF-1 alpha expression
Tumour angiogenesis
[101, 102]

Induced myeloid leukemia cell differentiation protein Mcl-1
MCL1
Oral cancer cells
Inhibition of Mcl-1 expression
Induced apoptosis
[103]

Inhibitor of NF-κB kinase subunit alpha (IκB kinase)
CHUK(IKK)
Jurkat cells
Inhibition of IκB kinase (IKK)
Anticancer and anti-inflammatory agent
[77]

Interferon-γ
IFNB1
Brest cancer MCF-7 (estrogen receptor+) cells
IFN-beta upregulated
Breast cancer, ER antagonist adjuvant therapy
[82]

Interleukin 8
IL8
Retinal pigment epithelial cell line
Inhibits IL-8 expression
Anti-inflammatory
[93]

Interleukin-1β
IL1B
Fibroblasts (HFL1)
Induces IL-1B productions
Pulmonary inflammation
[104]

Interleukin-2 receptor α-chain
IL2RA/CD25
Human peripheral lymphocytes
Reduced expression of CD25
Immunosuppressive agent
[100]

Interleukin-6
IL6
Keratinocytes
Reduces and IL-6 expression
Antiskin ageing agent
[105]

Low-density lipoprotein receptor (familial hypercholesterolemia)
LDLR
HepG2 cells
Increased mRNA and protein expression
Hyperlipidemia
[106–108]

Matrix metallopeptidase 1 (27 kDa interstitial collagenase)
MMP1
Dermal fibroblasts, U-87 glioma cells
MMP-1 expression decreased
Antiskin ageing agent, anticancer
[70, 109]

Matrix metallopeptidase 9 (gelatinase B, 92 kDa gelatinase, 92 kDa type IV collagenase)
MMP9
Tongue cancer SCC-4 cells, keratinocytes, gastric carcinoma SNU-5
Inhibition
Anticancer
[34, 70, 105]

Matrix metalloproteinase-16
MMP16
Jurkat cells
Suppresses expression of MMP-16
Anticancer and anti-inflammatory agent
[77]

Mitogen-activated protein kinase 3
ERK1/MAPK3
Peripheral blood monocytes (PBMC)
ERK1 protein expression inhibition
Antiatherosclerotic effects
[110]

Mitogen-activated protein kinase 4
ERK2/MAPK4
Peripheral blood monocytes (PBMC)
ERK2 protein expression inhibition
Antiatherosclerotic effects
[110]

Mitogen-activated protein kinase 8 (JNK)
MAPK8
Peripheral blood monocytes (PBMC)
Jun N-terminal kinase (JNK) protein expression inhibited at high levels of BBR
Antiatherosclerotic effects
[19, 110]

M-phase inducer phosphatase 1
CDC25A
HL-60 cell
Phosphorylation and degradation of Cdc25A
Antiproliferative and proapoptotic
[95]

Multidrug resistance protein 1 (P-gp, P-gp-170)
ABCB1
Tumour cell lines
Significant inhibited P-gp multidrug resistance (MDR) activity
MDR activity reversal
[111]

Hepatoma

HepG2 cells
Upregulated multidrug resistance transporter (P-gp-170) expression
Reduced retention of chemotherapeutic agents
[112]

Myc proto-oncogene protein
MYC
U-87 glioma cells
Myc level decreased
Malignant glioma and cancer development
[71]

NF-κB inhibitor-α
NFKBIA
Lung epithelial cells (A-549)
Inhibition of κB-α phosphorylation and degradation
Pulmonary inflammation
[104]

Nuclear factor NF-κB p50 subunit (NF-κB)
NFKB1
Jurkat cells, osteoblastic cells, HepG2 cells
Inhibit NF-κB production and suppress NF-κB
Anticancer and anti-inflammatory agent, alcohol liver disease, osteoclast formation
[77, 113–115]

Nuclear receptor subfamily 3, group C, member 1 (glucocorticoid receptor)
NR3C1
HepG2 cells
Reduced GR levels
Cell growth arrest
[74]

Nucleophosmin (nucleolar phosphoprotein B23) and telomerase
NPM1
Leukemia HL-60 cells
Downregulation of nucleophosmin/B23 and telomerase activity
Cancer
[116]

Peroxisome proliferator-activated receptor-γ
PPARG
Free-fatty-acid-induced insulin resistance muscle cells-L6 myotubes, 3T3-L1 preadipocytes
Decreased expression
Antidiabetic
[37, 117]

Platelet glycoprotein 4
CD36/FAT
Free-fatty-acid-induced insulin resistance muscle cells-L6 myotubes
Decreased expression
Antidiabetic
[37]

Poly (ADP-ribose) polymerase family, member 1
PARP
HepG2 cells/hepatoma cells, colonic carcinoma cells, prostate cancer cells (PC-3), prostate carcinoma cells (DU145 and PC-3, LNCaP), activated rheumatoid arthritis fibroblast-like synoviocytes (RAFLSs)
Cleavage of poly (ADP-ribose) polymerase. Activation of PARP
Cell apoptosis, Anticancer
[19, 21, 22, 30, 76, 83, 87]

Potassium voltage-gated channel subfamily H member 2
KCNH2/HERG1
Leukemic stem cells (LSCs)
Inhibits HERG1 K (+) channels of leukemic cells
Inhibits AML cell migration
[35]

Processed sterol regulatory element-binding protein 2
SREBP2
HepG2 cells
Reduction of SREBP2
Hyperlipidemia
[101]

Proprotein convertase subtilisin/kexin type 9
PCSK9
HepG2 cells
Suppression of PCSK9 mRNA and protein levels
Hyperlipidemia
[101, 107]

Prostaglandin G/H synthase 2
PTGS2/COX2
Peripheral blood monocytes (PBMC), oral cancer cell lines OC2 and KB cells, breast cancer MCF-7 (estrogen receptor+) cells, Jurkat cells, colon cancer cells
Decrease of Cox-2 mRNA and protein expression
Antiatherosclerotic effects, anti-inflammatory, anticancer, breast cancer ER antagonist adjuvant therapy, Anticancer
[27, 77, 82, 103, 110, 118]

Proto-oncogene tyrosine-protein kinase ROS
ROS1
HUVECs
Inhibition of ROS generation
Protects LDL oxidation and prevents ox-LDL-induced cellular dysfunction
[19, 119]

Ras-related C3 botulinum toxin substrate 1
RAC1
Nasopharyngeal carcinoma (HONE1) cells
Suppression of Rho GTPases activation (Rac1)
Cancer metastasis inhibition
[91]

Receptor tyrosine-protein kinase erbB-2
ERBB2/HER2
Brest cancer MCF-7 (estrogen receptor+) cells
HER2 downregulated
Breast cancer, ER antagonist adjuvant therapy
[82]

Rho-associated protein kinase 1
ROCK1/RHO
Nasopharyngeal carcinoma 5–8F cells
Suppression of Rho kinase activity
Anticancer
[91]

Runt-related transcription factor 2
RUNX2
Osteoblast cells
Promotes transcriptional activity of Runx2
Osteoblast differentiation and bone formation in osteoporosis
[120]

SDF-1-α (3–67) (SDF-1)
CXCL12
Acute myeloid leukemia (AML)
Reduces SDF-1 chemokine
Inhibits AML cell migration
[35]

Sucrase-isomaltase (α-glucosidase)
SI
Caco-2 cells
Inhibit alpha-glucosidase
Antihyperglycaemic
[39]

Topoisomerase (DNA) I
Top1
Recombinant human topoisomerase I
Top1 inhibition
Anticancer
[121]

Transcription factor AP-1
AP-1
Hepatoma cells, MDA-MB-231 breast cancer cells, giant cell carcinoma cell line, colon cancer cells, U-87 glioma cells, HeLa cells
Inhibition of AP-1 activity, AP-1 DNA suppression
Antitumor activity, Anticancer
[27, 32, 71, 115, 118, 122–124]

Transforming protein RhoA
RHOA
Nasopharyngeal carcinoma (HONE1) cells
Suppression of Rho GTPases activation (RhoA)
Cancer metastasis inhibition
[91]

Tumor necrosis factor-α
TNFA
Macrophages, fibroblasts (HFL1)
Inhibition of TNF-α
Anti-inflammatory
[104, 125]

Urokinase-plasminogen activator
PLAU
Lung cancer A549 cells, tongue cancer SCC-4 cells
Reduced urokinase-plasminogen activator (u-PA)
Antimetastatic, Anticancer
[34, 72]

Vascular endothelial growth factor A
VEGFA
HUVECs
Prevention of VEGF expression
Tumour angiogenesis
[102]

Wee1-like protein kinase
Wee1
Gastric carcinoma SNU-5 cells
Increased expression of Wee1protein, G2/M phase arrest
Gastric cancer
[24]

Table 2: Berberine’s target classification based on PANTHER.

Target names
Target gene symbol
PANTHER molecular function
Biological process
Pathway categories

Multidrug resistance protein 1 (Pgp, Pgp-170)
ABCB1
ATPase activity, coupled to transmembrane movement of substances, transmembrane transporter activity
Immune system process, extracellular transport, carbohydrate metabolic process, response to toxin
ATP-binding cassette (ABC) transporter

ATP-binding cassette sub-family G member 2
ABCG2
ATPase activity, coupled to transmembrane movement of substances, transmembrane transporter activity, anion channel activity
Immune system process, anion transport, lipid transport, oxygen and reactive oxygen species, metabolic process, lipid metabolic process, response to stress
N/A

Acetyl-coenzyme A carboxylase-α
ACACA
Other ligase
Gluconeogenesis, monosaccharide metabolism, fatty acid biosynthesis, coenzyme metabolism
N/A

α-Fetoprotein
AFP
Other transfer/carrier protein
Transport, mesoderm development, oncogenesis
N/A

Transcription factor AP-1
AP-1
DNA binding, transcription factor activity
Cell cycle, intracellular signaling cascade, nucleobase, nucleoside, nucleotide, and nucleic acid, metabolic process, cell cycle, signal transduction
Toll receptor signaling pathway, inflammation mediated by chemokine and cytokine signaling pathway, apoptosis signaling pathway, oxidative stress response, angiogenesis, TGF-beta signaling pathway, T-cell activation, B-cell activation, Ras Pathway, FAS signaling pathway, PDGF signaling pathway

Amyloid-β (A4) precursor protein (peptidase nexin-II, Alzheimer disease)
APP
Other signaling molecules
Other signal transduction, cell communication, other intracellular protein traffic
Alzheimer disease-amyloid secretase pathway, Alzheimer disease-presenilin pathway, blood coagulation, Alzheimer disease-presenilin pathway, Alzheimer disease-amyloid secretase pathway

Cyclic AMP-dependent transcription factor ATF-3
ATF3
DNA binding, transcription factor activity
Transcription factor activity, immune system process, neurological system process, induction of apoptosis, nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process
Apoptosis signaling pathway

Bcl2 antagonist of cell death
BAD
N/A
N/A
PDGF signaling pathway, apoptosis signaling pathway, angiogenesis, PI3 kinase pathway, VEGF signaling pathway, interleukin signaling pathway

BCL2-associated X protein
BAX
Other signaling molecule
Induction of apoptosis, gametogenesis, hematopoiesis, cell cycle control, cell proliferation and differentiation, tumor suppressor
p53 pathway, apoptosis signaling pathway, Huntington disease

B-cell CLL/lymphoma 2
BCL2
Other signaling molecule
Inhibition of apoptosis, oncogenesis
Oxidative stress response, apoptosis signaling pathway

Apoptosis regulator Bcl-X
BCL2L1
Receptor binding
Gamete generation, induction of apoptosis, negative regulation of apoptosis, cell cycle, mesoderm development, hemopoiesis
Apoptosis signaling pathway

B-cell lymphoma 3-encoded protein
Bcl-3
N/A
Nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process
Inflammation mediated by chemokine and cytokine signaling pathway

BH3-interacting domain death agonist p11
BID
N/A
N/A
Apoptosis signaling pathway, FAS signaling pathway

Baculoviral IAP repeat-containing protein 2 (anti-apoptosis factor c-IPA-1)
BIRC2
N/A
N/A
Apoptosis signaling pathway

Baculoviral IAP repeat-containing protein 3
BIRC3
N/A
N/A
Apoptosis signaling pathway

Baculoviral IAP repeat-containing protein 5 (Survivin)
BIRC5
N/A
N/A
Angiogenesis

Caspase 3, apoptosis-related cysteine peptidase
CASP3
Cysteine protease
Proteolysis, apoptosis
Huntington disease, FAS signaling pathway, apoptosis signaling pathway

Caspase 8, apoptosis-related cysteine peptidase
CASP8
Cysteine protease
Proteolysis, apoptosis
Apoptosis signaling pathway, FAS signaling pathway, Huntington disease

Caspase 9, apoptosis-related cysteine peptidase
CASP9
Cysteine protease
Proteolysis, apoptosis
Angiogenesis, apoptosis signaling pathway, FAS signaling pathway, VEGF signaling pathway, PI3 kinase pathway

Chemokine (C-C motif) ligand 2 (monocyte chemotactic protein-1)
CCL2
Nonreceptor serine/threonine, protein kinase
Protein phosphorylation, cell cycle control, mitosis
N/A

G2/mitotic-specific cyclin-B1
CCNB1
Protein binding, kinase activator activity, kinase regulator activity
Mitosis
Cell cycle, p53 pathway

G1/S-specific cyclin-D1
CCND1
Protein binding, kinase activator activity, kinase regulator activity
Spermatogenesis, mitosis
PI3 kinase pathway, cell cycle, Wnt signaling pathway

G1/S-specific cyclin-D2
CCND2
Protein binding, kinase activator activity, kinase regulator activity
Spermatogenesis, mitosis
PI3 kinase pathway, cell cycle

Cyclin E1
CCNE1
Kinase activator
Cell cycle control, mitosis, cell proliferation and differentiation
p53 pathway, cell cycle, Parkinson disease, p53 pathway feedback loops 2

G1/S-specific cyclin-E1
CCNE1
Protein binding, kinase activator activity, kinase regulator activity
Mitosis
p53 pathway, cell cycle, Parkinson disease, p53 pathway feedback loops 2

Interleukin-2 receptor alpha chain
IL2RA/CD25
Cytokine receptor activity
Immune system process, cell surface receptor-linked signal transduction, intracellular signaling cascade, cell-cell signalling, signal transduction, cell-cell signalling, cellular defense response
Interleukin signaling pathway

Platelet glycoprotein 4
CD36/FAT
Receptor activity
Macrophage activation, lipid transport, apoptosis, signal transduction, cell adhesion, lipid metabolic process, signal transduction, cell adhesion, cellular component, morphogenesis
N/A

Early activation antigen CD69
CD69
Receptor activity, receptor binding
B-cell-mediated immunity, natural killer cell activation, cellular defense response
Membrane-bound signaling molecule

M-phase inducer phosphatase 1
CDC25A
Hydrolase activity, acting on ester bonds, phosphatase activity
Phosphatase activity cell cycle, phosphate metabolic process, protein metabolic process, cell cycle
p53 pathway

Cdc42 effector protein 1
CDC42EP1
N/A
N/A
N/A

Cyclin dependant kinase 1/cell division control protein 2 homolog
CDK1/CDC2
Kinase activity
Immune system process, mitosis, intracellular signaling cascade, protein metabolic process, cell motion, mitosis, signal transduction, response to stress
p53 pathway

Cyclin-dependent kinase 2
CDK2
Nonreceptor serine/threonine protein kinase
Protein phosphorylation, cell cycle control, mitosis
p53 pathway, p53 pathway feedback loops 2

Cyclin-dependent kinase 4
CDK4
Nonreceptor serine/threonine protein kinase
Protein phosphorylation, cell cycle control, mitosis
N/A

Cell division protein kinase 6
CDK6
Kinase activity
Immune system process, mitosis, intracellular signaling cascade, protein metabolic process, cell motion, mitosis, signal transduction, response to stress
N/A

Cyclin-dependent kinase inhibitor 1 (p21)
CDKN1A
Protein binding, kinase inhibitor activity, kinase regulator activity
Cell cycle
Interleukin signaling pathway, p53 pathway feedback loops 2, p53 pathway

Cyclin-dependent kinase inhibitor 1B (P27/KIP1)
CDKN1B
Protein binding, kinase inhibitor activity, kinase regulator activity
Cell cycle
Interleukin signaling pathway

CASP8-and FADD-like apoptosis regulator subunit p12
CFLAR/cFLIP
Peptidase activity, protein binding, peptidase inhibitor activity
Apoptosis, protein metabolic process
Apoptosis signaling pathway, FAS signaling pathway

Inhibitor of NF-κB kinase subunit alpha (IκB kinase)
CHUK(IKK)
Kinase activity
Immune response, intracellular signaling cascade, protein metabolic process, signal transduction, response to stimulus
Interleukin signaling pathway, apoptosis signaling pathway, T-cell activation, toll receptor signaling pathway, B-cell activation

SDF-1-α (3–67) (SDF-1)
CXCL12
N/A
N/A
Axon guidance-mediated by Slit/Robo

Cytochrome c-1
CYC1
Reductase
Oxidative phosphorylation
FAS signaling pathway, ATP synthesis, Huntington disease

Cytochrome P450, family 2, subfamily C, polypeptide 9
CYP2C9
Oxygenase
Fatty acid metabolism, steroid metabolism, electron transport
N/A

Cytochrome P450, family 2, subfamily D, polypeptide 6
CYP2D6
Oxygenase
Other lipid, fatty acid and steroid metabolism, steroid metabolism, electron transport
Vitamin D metabolism and pathway

Cytochrome P450, family 3, subfamily A, polypeptide 4
CYP3A4
Oxygenase
Steroid hormone metabolism, electron transport
N/A

Dipeptidyl-peptidase 4 (CD26, adenosine deaminase complexing protein 2)
DPP4
Serine protease
Proteolysis, cell surface receptor mediated signal transduction, T-cell-mediated immunity
N/A

Epidermal growth factor receptor
EGFR
Kinase activity, transmembrane receptor protein tyrosine kinase activity, transmembrane receptor protein kinase activity, receptor binding
Female gamete generation, immune system process, negative regulation of apoptosis, cell cycle, cell surface receptor-linked signal transduction, intracellular signaling cascade, cell-cell signalling, cell-cell adhesion, protein metabolic process, cell motion, cell cyclesignal transduction, cell-cell signalling, dorsal/ventral axis specification, ectoderm development, mesoderm development, embryonic development, nervous system development
EGF receptor signaling pathway, cadherin signaling pathway

Receptor tyrosine-protein kinase erbB-2
ERBB2/HER2
Kinase activity, transmembrane receptor protein tyrosine kinase activity, transmembrane receptor protein kinase activity, receptor binding
Female gamete generation, immune system process, negative regulation of apoptosis, cell cycle, cell surface receptor linked signal transduction, intracellular signaling cascade, cell-cell signalling, cell-cell adhesion, protein metabolic process, cell motion, cell cyclesignal transduction, cell-cell signalling, dorsal/ventral axis specification, ectoderm development, mesoderm development, embryonic development, nervous system development
EGF receptor signaling pathway, cadherin signaling pathway

Mitogen-activated protein kinase 3
ERK1/MAPK3
Kinase activity
Immune system process, mitosis, cell surface receptor linked signal transduction, intracellular signaling cascade, carbohydrate metabolic process, protein metabolic process, cell motion, signal transduction, segment specification, ectoderm development, mesoderm development, embryonic development, nervous system development, response to stress
Apoptosis signaling pathway, Alzheimer disease-amyloid secretase pathway, B-cell activation, Ras pathway, interleukin signaling pathway, angiogenesis, T-cell activation, toll receptor signaling pathway, insulin/IGF pathway-mitogen activated protein kinase kinase/MAP kinase cascade, FGF signaling pathway, Parkinson disease, PDGF signaling pathway, inflammation mediated by chemokine and cytokine signaling pathway, VEGF signaling pathway, interferon-gamma signaling pathway, endothelin signaling pathway, angiogenesis, TGF-beta signaling pathway, integrin signalling pathway, EGF receptor signaling pathway

Mitogen-activated protein kinase 4
ERK2/MAPK4
Kinase activity
Immune system process, mitosis, cell surface receptor linked signal transduction, intracellular signaling cascade, carbohydrate metabolic process, protein metabolic process, cell motion, mitosis, signal transduction, segment specification, ectoderm development, mesoderm development, embryonic development, nervous system development, response to stress
Alzheimer disease-amyloid secretase pathway, interleukin signaling pathway, angiogenesis, VEGF signaling pathway, integrin signalling pathway

Ezrin
EZR
Structural constituent of cytoskeleton
Cellular component, morphogenesis
N/A

C/EBP homologous protein (CHOP) or growth arrest- and DNA damage-inducible gene 153 (GADD153) or DNA damage-inducible transcript 3
GADD153/DDIT3
N/A
N/A
Oxidative stress response

Glucagon-like peptide (GCG/GLP-1/GLP-2)
GCG
Receptor binding
Signal transduction, cell-cell signalling, carbohydrate metabolic process, lipid metabolic process, signal transduction, cell-cell signalling, cellular glucose homeostasis
Peptide hormone

Growth/differentiation factor 15 (NAG-1)
GDF15
Receptor binding
Female gamete generation, cell surface receptor linked signal transduction, signal transduction, ectoderm development, mesoderm development, skeletal system development, heart development, muscle organ development
TGF-beta signaling pathway

Hypoxia-inducible factor 1α
HIF1A
DNA binding, transcription factor activity
Nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process, ectoderm development, nervous system development
Hypoxia response via HIF activation, VEGF signaling pathway, angiogenesis

Interferon-β
IFNB1
Receptor binding
Response to interferon-gamma, induction of apoptosis, negative regulation of apoptosis, cell surface receptor linked signal transduction, intracellular signaling cascade, cell-cell signalling, signal transduction, cell-cell signalling, cellular defense response
Toll receptor signaling pathway

Interleukin-1β
IL1B
Receptor binding
Immune response, macrophage activation, cell surface receptor linked signal transduction, cell-cell signalling, signal transduction, cell-cell signalling, response to stimulus
Inflammation mediated by chemokine and cytokine signaling pathway

Interleukin-6
IL6
Receptor binding
Immune system process, negative regulation of apoptosis, cell surface receptor linked signal transduction, intracellular signaling cascade, cell-cell signalling signal transduction, cell-cell signaling
Inflammation mediated by chemokine and cytokine signaling pathway, interleukin signaling pathway

Interleukin 8
IL8
Chemokine
Cytokine- and chemokine-mediated signaling pathways, calcium-mediated signalling, NF-kappaB cascade, ligand-mediated signalling, T-cell-mediated immunity, macrophage-mediated immunity, granulocyte-mediated immunity, angiogenesis, cell proliferation and differentiation, cell motility
Inflammation mediated by chemokine and cytokine signaling pathway, interleukin signaling pathway

Potassium voltage-gated channel subfamily H member 2
KCNH2/HERG1
Receptor activity, cation transmembrane transporter activity, voltage-gated potassium channel activity, cation channel activity, cyclic nucleotide-gated ion channel activity
Cation transport, signal transduction
Ligand-gated ion channel

Low-density lipoprotein receptor (familial hypercholesterolemia)
LDLR
Other receptor
Oogenesis
Alzheimer disease-presenilin pathway

Mitogen-activated protein kinase 8 (JNK)
MAPK8
Kinase activity
Immune system process, mitosis, cell surface receptor linked signal transduction, intracellular signaling cascade, carbohydrate metabolic process, protein metabolic process, cell motion, mitosis, signal transduction, segment specification, ectoderm development, mesoderm development, embryonic development, nervous system development, response to stress
Alzheimer disease-amyloid secretase pathway, Ras pathway, EGF receptor signaling pathway, Parkinson disease, angiogenesis, FGF signaling pathway, FAS signaling pathway, toll receptor signaling pathway, TGF-beta signaling pathway, PDGF signaling pathway, Huntington disease, integrin signalling pathway, T-cell activation, B-cell activation, interferon-gamma signaling pathway, oxidative stress response, apoptosis signaling pathway, integrin signalling pathway

Induced myeloid leukemia cell differentiation protein Mcl-1
MCL1
Receptor binding
Gamete generation, induction of apoptosis, negative regulation of apoptosis, cell cycle, mesoderm development, hemopoiesis
Apoptosis signaling pathway

Matrix metallopeptidase 1 (27 kDa interstitial collagenase)
MMP1
Peptidase activity
Protein metabolic process
Plasminogen activating cascade, Alzheimer disease-presenilin pathway, plasminogen activating cascade

Matrix metalloproteinase-16
MMP16
Peptidase activity
Protein metabolic process
Alzheimer disease-presenilin pathway

72 kDa type IV collagenase
MMP2
Metalloprotease, other extracellular matrix
Proteolysis
Alzheimer disease-presenilin pathway

Matrix metallopeptidase 9 (gelatinase B, 92 kDa gelatinase, 92 kDa type IV collagenase)
MMP9
Metalloprotease, other extracellular matrix
Proteolysis
Alzheimer disease-presenilin pathway, plasminogen activating cascade

Myc proto-oncogene protein
MYC
DNA binding, transcription factor activity
Induction of apoptosis, cell cycle, nucleobase, nucleoside, nucleotide, and nucleic acid, metabolic process, cell cycle
Oxidative stress response, p53 pathway feedback loops 2, Wnt signaling pathway, interleukin signaling pathway, PDGF signaling pathway

Arylamine N-acetyltransferase 1
NAT
Acyltransferase activity
Metabolic process
Acetyltransferase

Nuclear factor NF-κB p50 subunit (NF-κB)
NFKB1
DNA binding, transcription factor activity
B-cell-mediated immunity, negative regulation of apoptosis, intracellular signaling cascade, nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process, signal transduction, cellular defense response
T-cell activation, B-cell activation, toll receptor signaling pathway, inflammation mediated by chemokine and cytokine signaling pathway, apoptosis signaling pathway

NF-κB inhibitor-α
NFKBIA
Protein binding
Immune system process, intracellular protein transport apoptosis, intracellular signaling cascade, nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process, signal transduction, response to stress
Apoptosis signaling pathway, toll receptor signaling pathway, inflammation mediated by chemokine and cytokine signaling pathway, T-cell activation, B-cell activation

Nucleophosmin (nucleolar phosphoprotein B23) and telomerase
NPM1
N/A
Nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process
N/A

Nuclear receptor subfamily 3, group C, member 1 (glucocorticoid receptor)
NR3C1
Nuclear hormone receptor, transcription factor, nucleic acid binding
N/A
N/A

Poly(ADP-ribose) polymerase family, member 1
PARP
Glycosyltransferase
DNA repair, protein ADP-ribosylation, stress response
FAS signaling pathway

Proprotein convertase subtilisin/kexin type 9
PCSK9
Serine protease
Proteolysis
N/A

Urokinase-plasminogen activator
PLAU
Peptidase activity
Immune system process, signal transduction, protein metabolic process, cell motion, signal transduction, blood coagulation
Blood coagulation, plasminogen activating cascade

Peroxisome proliferator-activated receptor-γ
PPARG
Nuclear hormone receptor, transcription factor, nucleic acid binding
Monosaccharide metabolism, regulation of lipid, fatty acid, and steroid metabolism, mRNA transcription regulation, ligand-mediated signalling, stress response, developmental processes, cell proliferation and differentiation
N/A

Prostaglandin G/H synthase 2
PTGS2/COX2
Oxidoreductase activity
Immune system process
Endothelin signaling pathway, toll receptor signaling pathway, inflammation mediated by chemokine and cytokine signaling pathway

Ras-related C3 botulinum toxin substrate 1
RAC1
GTPase activity, protein binding
Intracellular protein transport, endocytosis, cell surface receptor linked signal transduction, intracellular signaling cascade, signal transduction
Axon guidance mediated by Slit/Robo, integrin signalling pathway, inflammation mediated by chemokine and cytokine signaling pathway, Huntington disease, axon guidance mediated by Slit/Robo, FGF signaling pathway, T-cell activation, axon guidance mediated by netrin, EGF receptor signaling pathway, inflammation mediated by chemokine and cytokine signaling pathway, cytoskeletal regulation by Rho GTPase, aAxon guidance mediated by semaphorins, cytoskeletal regulation by Rho GTPase, B-cell activation, Ras pathway

Rho-associated protein kinase 1
ROCK1/RHO
Kinase activity
Mitosis, intracellular signaling cascade, cell adhesion, protein metabolic process, cell motion, mitosis, signal transduction, cell adhesion, embryonic development
Inflammation mediated by chemokine and cytokine signaling pathway, cytoskeletal regulation by Rho GTPase

Transforming protein RhoA
RHOA
GTPase activity, protein binding
Intracellular protein transport, endocytosis, cell surface receptor linked signal transduction, intracellular signaling cascade, signal transduction
Axon guidance mediated by Slit/Robo, angiogenesis, heterotrimeric G-protein signaling pathway-Gq alpha; and Go alpha mediated pathway, axon guidance mediated by semaphorins, inflammation mediated by chemokine and cytokine signaling pathway, integrin signalling pathway, Ras pathway, cytoskeletal regulation by Rho GTPase, PDGF signaling pathway

Proto-oncogene tyrosine-protein kinase ROS
ROS1
Kinase activity, transmembrane receptor protein tyrosine kinase activity, transmembrane receptor protein kinase activity, receptor binding
Female gamete generation, immune system process, visual perception, sensory perception, negative regulation of apoptosis, cell cycle, cell surface receptor linked signal transduction, intracellular signaling cascade, cell-cell signalling, cell-cell adhesion, protein metabolic process, cell motion, cell cycle, signal transduction, ectoderm development, mesoderm development, embryonic development, nervous system development
N/A

Runt-related transcription factor 2
RUNX2
DNA binding, transcription factor activity
Mesoderm development, skeletal system development, hemopoiesis
N/A

Sucrase-isomaltase (Alpha-glucosidase)
SI
Hydrolase activity, hydrolyzing O-glycosyl compounds
Carbohydrate metabolic process, protein metabolic process
N/A

Processed sterol regulatory element-binding protein 2
SREBP2
DNA binding, transcription factor activity
Nucleobase, nucleoside, nucleotide and nucleic acid metabolic process, lipid metabolic process
Basic helix-loop-helix transcription factor

Tumor necrosis factor/tumor necrosis factor-α
TNFA
Tumor necrosis factor family member
Cytokine- and chemokine-mediated signaling pathways, ligand-mediated signalling, immunity and defense, induction of apoptosis
Wnt signaling pathway, apoptosis signaling pathway

Topoisomerase (DNA) I
Top1
DNA topoisomerase
DNA replication, general mRNA transcription activities
DNA replication

Cellular tumor antigen p53
TP53
DNA binding, transcription factor activity
Induction of apoptosis, cell cycle, nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process, cell cycle
Apoptosis signaling pathway, Huntington disease, P53 pathway feedback loops 1, p53 pathway, p53 pathway by glucose deprivation, p53 pathway feedback loops 2, Wnt signaling pathway

Vascular endothelial growth factor A
VEGFA
Receptor binding
Immune system process, cell cycle, cell surface receptor linked signal transduction, intracellular signaling cascade, cell-cell signalling, cell cyclesignal transduction, mesoderm development, angiogenesis, response to stress
Angiogenesis, VEGF signaling pathway

Wee1-like protein kinase
Wee1
Kinase activity
Mitosis, protein metabolic process
Protein kinase

Extensive research has been carried out to study the effects of berberine on cancer cells in vitro. This may be related to recent discovery of anti-cancer drugs with natural compound origin, for example, paclitaxel and topotecan.

Various human cancer cell lines were used to demonstrate the anti-cancer effects of berberine in vitro. These include cancer cell lines of the tongue, stomach, lung, colon, liver, breast, prostate, nasopharyngeal, neurones, epidermal, and blood [18–28]. Berberine has shown to induce cancer cell death via several mechanisms such as regulation of apoptosis proteins and cell cycle arrest.

Berberine treatment increased the expression of apoptotic cell death proteins, promotes cell cycle arrest, and induces cell death in human cancer cell lines. For instance, in human prostate epithelial cells (PWR-1E), berberine-increased expression of BCL2-associated X protein (Bax) was observed after berberine treatment, inducing cell death and demonstrating pro-apoptotic properties [29]. Similar effects of berberine were observed in prostate carcinoma cells (DU145, PC-3, and LNCaP) [21, 30]. Berberine also increased levels of Bax in promyelocytic leukemia cells [31], gastric carcinoma cells [24], and lung cancer cells [20].

Berberine can also promote cell death by the regulation of antiapoptotic proteins. Decreased expression of antiapoptotic Bcl-2 protein was observed in human oral squamous cell carcinoma after berberine treatment [23]. Studies done in other cancer cell lines such as lung cancer, gastric cancer, and prostate cancer also showed reduced levels of Bcl-2 after berberine treatment [20, 21, 24, 30]. Cell cycle arrest at different phases has also been observed in human cancer cell lines after treatment with berberine. In giant cell carcinoma and prostate carcinoma cells, berberine also decreased G₀/G₁ phase-associated cyclins (D₁, D₂, E, Cdk2, Cdk4, and Cdk6), inducing G₀/G₁ arrest and suppressing cell proliferation [21, 25, 30, 32]. Further, in HepG2 cells, berberine acted on B-cell CLL/lymphoma 2 (BCL2), procaspase-3 and -9, and poly (ADP-ribose) polymerase (PARP), induced cell cycle arrest at G₂/M phase and inhibited cell proliferation [22].

Further, berberine can promote cell death via the regulation of pro- and antiapoptotic proteins. In addition to this, berberine can also promote apoptosis via mitochondrial/caspase pathway. In cancer cell lines (tongue cancer, oral squamous cell carcinoma and prostate epithelial) [18, 23, 29, 33], activation of caspases-3 & -9 promotes G₁ cell cycle arrest in different human cancer cell lines (lung, stomach, and prostate) [20, 21, 24, 30, 33].

Berberine also showed anti-metastatic properties in several cancer cell lines, acting on 72 kDa type IV collagenase (MMP2), Cdc42 effector protein 1 (CDC42EP1), and ras-related C3 botulinum toxin substrate 1 (RAC1), transforming protein RhoA (RHOA) and urokinase-plasminogen activator A (PLAU) [34, 35]. Further, berberine showed antitopoisomerase I properties [36]; this observation can be useful as topoisomerase I is responsible for DNA replication and antitopoisomerase I compounds can be effective in cancer treatments.

In addition to its effects on cancer cells, berberine also acts on molecular targets related to insulin resistance. In free-fatty-acid-induced insulin resistance muscle cells, berberine improves insulin resistance and improves glucose uptake by decreasing PPAR and FAT/CD36 protein expression [37]. Another study reported increased insulin receptor (InsR) mRNA and protein expression increases insulin sensitivity in liver cells after berberine treatment [38]. In Caco-2 cells, berberine inhibited alpha-glucosidase and disaccharidases activities, leading to reduced glucose levels [39]. In Hep G₂ cells, berberine also improved insulin signal transduction through various mechanisms such as decreased phosphorylation of PERK and eLF2-, increased phosphorylation of IRS-1 tyrosine and AKT serine [40]. In intestinal NCI-H716 cells, berberine enhanced glucagon-like peptide 1 (GLP-1) release and promotes proglucagon mRNA expression [41]. These results demonstrate that berberine has great potential for insulin resistance treatment and should be explored further in animal and human studies.

3.2. PANTHER Analysis of Berberine Targets

Distribution of berberine therapeutic targets in vitro varied in each of these functional classifications. Tables 3, 4, and 5 show various distributions of the most frequent occurring berberine targets in vitro based on molecular functions, biological processes, and pathways, respectively.

Table 3: Distribution of berberine’s targets in vitro according to molecular functions.

PANTHER molecular function
Number

of targets

Acyltransferase activity
1

Anion channel activity
1

ATPase activity, coupled to transmembrane movement of substances
2

Cation channel activity
1

Cation transmembrane transporter activity
1

Chemokine
1

Cyclic nucleotide-gated ion channel activity
1

Cysteine protease
3

Cytokine receptor activity
1

DNA binding
9

DNA topoisomerase
1

Glycosyltransferase
1

GTPase activity
2

Hydrolase activity, acting on ester bonds
1

Hydrolase activity, hydrolyzing O-glycosyl compounds
1

Kinase activator
1

Kinase activator activity
4

Kinase activity
11

Kinase inhibitor activity
2

Kinase regulator activity
6

Metalloprotease
2

Not classified
10

Non-receptor serine/threonine protein kinase
3

Nuclear hormone receptor
2

Nucleic acid binding
2

Other extracellular matrix
2

Other ligase
1

Other receptor
1

Other signaling molecule
3

Other transfer/carrier protein
1

Oxidoreductase activity
1

Oxygenase
3

Peptidase activity
4

Peptidase inhibitor activity
1

Phosphatase activity
1

Protein binding
10

Receptor activity
3

Receptor binding
12

Reductase
1

Serine protease
2

Structural constituent of cytoskeleton
1

Transmembrane transporter activity
2

Transcription factor
2

Transcription factor activity
9

Transmembrane receptor protein kinase activity
3

Transmembrane receptor protein tyrosine kinase activity
3

Tumor necrosis factor family member
1

Voltage-gated potassium channel activity
1

Table 4: Distribution of berberine’s targets in vitro according to biological functions.

PANTHER biological functions
Number of targets

Angiogenesis
2

Anion transport
1

Apoptosis
6

B-cell-mediated immunity
2

Blood coagulation
1

Calcium-mediated signaling
1

Carbohydrate metabolic process
7

Cation transport
1

Cell adhesion
3

Cell communication
1

Cell cycle
11

Cell cycle control
5

Cell cycle intracellular signaling cascade
1

Cell cycle signal transduction
1

Cell motility
1

Cell motion
10

Cell proliferation and differentiation
3

Cell proliferation and differentiation
1

Cell surface receptor linked signal transduction
14

Cell surface receptor-mediated signal transduction
1

Cell-cell adhesion
3

Cell-cell signaling
9

Cellular component morphogenesis
2

Cellular defense response
4

Cellular glucose homeostasis
1

Coenzyme metabolism
1

Cytokine- and chemokine-mediated signaling pathways
2

Developmental processes
1

DNA repair
1

DNA replication
2

Dorsal/ventral axis specification
1

Ectoderm development
1

Ectoderm development
8

Electron transport
3

Embryonic development
7

Endocytosis
2

Extracellular transport
2

Fatty acid biosynthesis
1

Fatty acid metabolism
1

Female gamete generation
4

Gamete generation
2

Gametogenesis
1

General mRNA transcription activities
1

Gluconeogenesis
1

Granulocyte-mediated immunity
1

Heart development
1

Hematopoiesis
1

Hemopoiesis
3

Immune response
2

Immune system process
16

Immune system processMitosis
1

Immunity and defense
1

Induction of apoptosis
9

Intracellular protein transport
3

Intracellular signaling cascade
18

Ligand-mediated signaling
3

Lipid metabolic process
4

Lipid transport
2

Macrophage activation
2

Macrophage-mediated immunity
1

Mesoderm development
12

Metabolic process
1

Mitosis
4

Monosaccharide metabolism
2

mRNA transcription regulation
1

Muscle organ development
1

Not classified
9

Natural killer cell activation
1

Negative regulation of apoptosis
8

Nervous system development
7

Neurological system process
1

NF-κB cascade
1

Nucleobase, nucleoside, nucleotide, and nucleic acid metabolic process
10

Oncogenesis
3

Other intracellular protein traffic
1

Other lipid, fatty acid and steroid metabolism
1

Other signal transduction
1

Oxidative phosphorylation
1

Oxygen and reactive oxygen species metabolic process
1

Phosphatase activity cell cycle
1

Phosphate metabolic process
1

Protein ADP-ribosylation
1

Protein metabolic process
17

Protein phosphorylation
3

Proteolysis
7

Regulation of lipid, fatty acid and steroid metabolism
1

Response to interferon-γ
1

Response to stimulus
2

Response to stress
8

Response to toxin
2

Segment specification
3

Sensory perception
1

Signal transduction
25

Skeletal system development
2

Spermatogenesis
2

Steroid hormone metabolism
1

Steroid metabolism
2

Stress response
2

T-cell-mediated immunity
2

Transcription factor activity immune system process
1

Transport
1

Tumor suppressor
1

Visual perception
1

Table 5: Distribution of berberine’s targets in vitro according to pathway categories.

PANTHER pathway categories
Number of targets

Acetyltransferase
1

Alzheimer disease-amyloid secretase pathway
11

Alzheimer disease-presenilin pathway
14

Angiogenesis
11

Apoptosis signaling pathway
21

ATP synthesis
1

ATP-binding cassette (ABC) transporter
2

Axon guidance mediated by netrin
1

Axon guidance mediated by semaphorins
1

Axon guidance mediated by Slit/Robo
4

B-cell activation
7

Basic helix-loop-helix transcription factor
1

Blood coagulation
3

Cadherin signaling pathway
2

Cell cycle
4

Cytoskeletal regulation by Rho GTPase
3

DNA replication
2

EGF receptor signaling pathway
4

Endothelin signaling pathway
2

FAS signaling pathway
13

FGF signaling pathway
4

Heterotrimeric G-protein signaling pathway—Gq alpha- and Go alpha-mediated pathway
1

Huntington disease
9

Hypoxia response via HIF activation
1

Inflammation mediated by chemokine and cytokine signaling pathways
13

Insulin/IGF pathway-mitogen activated protein kinase kinase/MAP kinase cascade
1

Integrin signalling pathway
6

Interferon-gamma signaling pathway
2

Interleukin signaling pathway
10

Ligand-gated ion channel
1

Membrane-bound signaling molecule
1

Pathway unclassified
19

Oxidative stress response
5

p53 pathway
12

p53 pathway by glucose deprivation
1

p53 pathway feedback loops
1

P53 pathway feedback loops 1
1

p53 pathway feedback loops 2
4

Parkinson disease
3

PDGF signaling pathway
6

Peptide hormone
1

PI3 kinase pathway
4

Plasminogen activating cascade
8

Protein kinase
1

Ras Pathway
5

T-cell activation
7

TGF-β signaling pathway
4

Toll receptor signaling pathway
9

VEGF signaling pathway
7

Vitamin D metabolism and pathway
1

Wnt signaling pathway
4

As shown in Table 3, berberine acts on a diverse range of molecular targets in vitro. The most common classes of molecular functions include receptor binding, kinase activity, protein binding, transcription activity, DNA binding, and kinase regulator activity. Known berberine targets in vitro from the receptor binding class include epidermal growth factor receptor (EGFR), vascular endothelial growth factor A (VEGFA), interleukin-1 (IL1B) and interleukin-6 (IL6), growth/differentiation factor 15 (NAG-1), and glucagon-like peptide (GLP1).

Based on the biological process classification of in vitro berberine targets, those targets related to signal transduction, intracellular signalling cascade, cell surface receptor linked signal transduction, cell motion, cell cycle control, immunity system process, and protein metabolic process are most frequently involved (Table 4). In vitro berberine targets involved signal transduction include cyclin-dependant kinases (CDK1 and CDK6), inhibitor of nuclear factor kappa-B kinase subunit alpha (CHUK), epidermal growth factor receptor (EFGR), receptor tyrosine-protein kinase (ERBB2), glucagon-like peptide (GCG), growth/differentiation factor 15 (GDF15), interferon beta (IFNB1), interleukins (IL1B, IL2RA, and IL6), potassium voltage-gated channel subfamily H member 2 (KCNH1), mitogen-activated protein kinases (ERK1, ERK2, and MAPK8), nuclear factor-kappa-B p50 subunit (NFKB1), NF-kappa-B inhibitor alpha (NFKB1A), urokinase-plasminogen activator (PLAU), Ras-related C3 botulinum toxin substrate 1 (RAC1), Rho-associated protein kinase 4 (RHO), transforming protein RhoA (RHOA), proto-oncogene tyrosine-protein kinase ROS (ROS1), vascular endothelial growth factor A (VEGFA).

According to the PANTHER Classification System, in vitro berberine targets correlate with a mixture of biological pathways, such as Alzheimer disease-presenilin and secretase pathways, angiogenesis, apoptosis signalling pathway, FAS signalling pathway, Huntington disease, inflammation mediated by chemokine and cytokine signalling pathways, interleukin signalling pathway, and p53 pathways (Table 5).

The targets of berberine distributed across a large number of PANTHER classifications of molecular functions, biological processes, and pathways. This can be an advantage in terms of drug discovery using berberine. Seen that berberine targets are involved in a wide range of molecular activities, in turn, can alter many pathological states of the body. Thus, berberine can be explored for the treatment of different diseases. On the other hand, the nature of multitargeting of berberine lacks in target specificity which can become difficult for drug design. Further, because berberine can have interactions with so many molecular structures and involve in different pathways, much attention must be paid to avoid interactions with other therapeutic drugs.

3.3. Data from In Vivo Studies with a Focus on Diabetes Mellitus

In China, Huang Lian (Rhizoma coptidis) has been used to treat diabetes for more than 1,400 years [16]. Berberine is one of the main active alkaloids present in Rhizoma Coptidis and has shown to have good hypoglycaemic effects in vitro [37–39, 42]. Further, the chemical structure of berberine is different from the commonly used other hypoglycaemic agents such as sulphonylureas, biguanides, thiazolidinediones, or acarbose [14]. Thus, it is meaningful to investigate the efficacy and safety of berberine treatments for diabetes mellitus to confirm the possibility of berberine serving as a new class of antidiabetic medications. Extensive research has been done to investigate the hypoglycaemic effects of berberine in animal models. This section will highlight the effects of berberine in diabetic animal studies, focusing on different mechanisms of actions of berberine.

Hyperglycemia is a hallmark metabolic abnormality associated with metabolic diseases such as type 2 diabetes. Berberine has shown to significantly decrease fasting blood glucose levels in diabetic rats (diet or drug induced), this has been observed in a number of studies [43–46]. Berberine can reduce fasting blood glucose level via different mechanisms. For example, Liu et al. [43] reported that berberine reduced fasting blood glucose (FBG) levels by inhibiting intestinal disaccharidases in a concentration-dependent manner. Xia et al. [46] reported berberine reduced fasting glucose level via the inhibition of gluconeogenesis, via decreased PEPCK and G6Pase genes in the liver, reduced hepatic steatosis, and inhibition of FAS expression.

Current diabetes therapies do not address the key driver of this condition, -cell dysfunction [47, 48], and do not alter the progressive nature of insulin secretory deficit [49]. Berberine increased pancreatic -cell numbers and -cell mass in streptozotocin-induced diabetic rats [41, 50]. It also reversed pathological changes of pancreatic -cells in diabetic rats induced by streptozotocin and diet [51]. Further, in berberine treated diabetic rats, the pancreatic and plasma insulin levels increased after glucose load, reducing blood glucose levels [41, 50]. These observations are significant as berberine may be explored further as an additional therapy to existing antidiabetic drugs to effectively preserve -cell functions, reverse -cell damage, and promote insulin secretion in diabetes patients.

Further to -cell dysfunction and insulin secretory deficit in diabetes, defects in insulin receptor (InsR) expression or function can cause insulin resistance and diabetes mellitus [52]. Thus, regulation of InsR expression may improve insulin resistance in diabetes mellitus. Berberine increases InsR mRNA and protein expression in human liver cells and in animal model in a dose- and time-dependent manner [38]. Berberine upregulates InsR and leads to enhanced insulin signalling pathway, confirming berberine as an insulin sensitiser.

Glucagon-like peptide 1 (GLP-1) is an intestinal peptide hormone released in response to food ingestion [53]. GLP-1 enhances meal-related insulin secretion and promotes glucose tolerance. In streptozotocin-induced rats, berberine enhanced GLP-1 release and promotes proglucagon mRNA expression, increased beta cell mass and pancreas insulin levels after glucose load [41]. This observation was in line with the groups, previous experiments in vitro. Lu et al. [50] also reported that berberine increased proglucagon mRNA expression and plasma insulin levels in streptozotocin-induced diabetic rats. The glucagon gene encodes GLP-1 and the increased expression of proglucagon mRNA assists in controlling the blood glucose homeostasis.

Berberine also reduced body weight and caused a significant improvement in glucose tolerance without altering food intake in db/db mice [54]. Oral glucose tolerance improvement in diabetic rats after berberine treatment has also been observed in other studies [55, 56].

Long-term hyperglycaemia can lead to increased risk of cardiovascular complications. In hyperglycemia and hypercholesterolemia rats with injured cardiac functions, berberine (15, 30 mg/kg/day, i.g for 6 weeks) increased cardiac output, left ventricular systolic pressure, and by 64, 16, and 79%, but decreased left ventricular end diastolic pressure and by 121 and 61% in the rats receiving HSFD/streptozotocin, respectively, when compared with the untreated rats of hyperglycemia and hypercholesterolemia [57]. Berberine caused significant increase in cardiac fatty acid transport protein-1 (159%), fatty acid transport proteins (56%), fatty acid beta-oxidase (52%), and glucose transporter-4. These results demonstrate the cardioprotective functions of berberine in hyperglycemia/hypercholesterolemia through alleviating cardiac lipid accumulation and promoting glucose transport 4 [57]. Another study also showed improved vasorelaxation in impaired aorta in diabetic rats after berberine treatment (100 mg/kg/day, 8 weeks) [45]. Thus, in addition to its hypoglycaemic effects, berberine can also be investigated for cardiomyopathy in diabetes.

Berberine also regulates lipid metabolism which is closely related to diabetes. In rats with induced diabetic hyperlipidemia, berberine (75, 150, 300 mg/kg/day for 16 weeks) effectively reduced liver weight and liver/body weight ratio, levels of total cholesterol, triglycerides, and low-density lipoprotein-cholesterol [58]. In rats with a high fat diet, berberine significantly reduced body weight, alleviated liver steatosis, and improved insulin resistance [59]. This observation indicates that berberine can be an effective treatment for diabetes with obesity.

Clinically, preeminent factors for monitoring glycaemia and evaluating the risks of complications of diabetes include FBG, haemoglobin A1c (HbA1c) [60]. Triglyceride synthesis is closely associated with glucose metabolism so serum triglyceride levels are determined. Clinical studies often measure FBG, HbA1c, and triglyceride levels, along with other factors to study the hypoglycaemic effects of berberine. The efficacies of berberine in type 2 diabetes patients have been reported. Through literature search, key clinical studies on berberine effects on type 2 diabetes patients are summarised.

Zhang et al. [61] conducted a randomized, double-blind, placebo-controlled multicenter trial (). The authors found that when berberine (1.0 g daily) was administered for 3 months in type 2 diabetes patients with dyslipidemia, the fasting and postload plasma glucose levels decreased from to and from to  mM/L, HbA1c from to . Further, in the treatment group, triglyceride levels were reduced from to  mM/L, total cholesterol from to  mM/L, and LDL-cholesterol from to  mM/L. Results from the treatment group was significant compared to the control group. In the treatment group, patient’s body weight was also significantly reduced. Mild-to-moderate constipation was reported in 5 patients from the treatment group and 1 patient from the control group; however, this finding was not statistically significant. No other adverse events were reported. At 3 months, berberine was found to be effective in lowering blood glucose, lipids, body weight, and blood pressure with a good safety profile.

Yin et al. reported a 3-month study comparing berberine to antidiabetic drug metformin (0.5 g t.i.d) [14]. In this study, berberine exhibited identical effect as metformin in the regulation of glucose metabolism, significant decreases in HbA1c (by 2%, ), FBG (by 3.8 mmol/L; ), and postprandial blood glucose (PBG) (by 8.8 mmol/L; ). Further, the regulation of lipid metabolism was better in the berberine group than the metformin group. Triglycerides and total cholesterol levels were significantly lower than in the metformin group (). At the same time, the same group of researchers used berberine as a combination therapy to evaluate its additive or synergistic effects on the commonly used hypoglycemic agents, such as sulphonylureas, biguanides, thiazolidinediones, and acarbose. Patients were given 500 mg berberine three times daily for 3 months in addition to their previous treatment. At week 5, berberine significantly () reduced HbA1c (from 8.1% to 7.3%), FBG, PBG, and fasting insulin levels. Blood lipids including triglyceride, total cholesterol, and LDL-C decreased significantly lowered compared to baseline. In both studies, incidences of gastrointestinal adverse events were observed, including diarrhea, constipation, flatulence, and abdominal pain. Interestingly, patients did not suffer from severe gastrointestinal adverse events when berberine was used alone and in combination therapy; adverse effects disappeared after berberine dosage was reduced. No pronounced elevation in liver enzymes or creatinine was observed, suggesting that berberine did not cause damage to the liver or kidneys.

Another clinical study [62] randomly divided 97 type 2 diabetes mellitus patients into berberine treatment (1 g/day) for 2 months, using metformin therapy (1.5 g/day) and rosiglitazone group (4 mg/b.i.d) as reference groups. Blood samples were taking before and after treatments to measure FBG, HbA1c, triglyceride, and serum insulin levels. Compared to values prior to treatment, berberine significantly lowered FBG by 25.9% (), HbA1c by 18.1% (), and triglycerides by 17.6% (). The hypoglycaemic effects of berberine were comparable to metformin and rosiglitazone. Serum insulin level was declined significantly () by 28.2%; this indicates increased insulin sensitivity in peripheral tissues by berberine treatment. Peripheral blood lymphocytes from berberine treated patients were isolated to examine the InsR expression. The surface expression of InsR significantly elevated by 3.6-fold after berberine treatment.

Metformin and rosiglitazone are not recommended for use in diabetic patients with liver function damage [54, 63]. So the effect of berberine was tested in hyperglycaemic patients with hepatitis. Hepatitis B and C patients with hyperglycaemia received berberine at 1 g/day for 2 months. In both diabetic hepatitis B and C patients, berberine significantly reduced FBG and triglyceride levels. Berberine treatment also reduced the elevated alanine transaminase and aspartate aminotransferase levels in these patients. Overall, berberine is safe and effective in hyperglycaemic patients with liver function damage.

Table 6 compares clinical studies of berberine in diabetes patients. Across the studies, berberine has shown to significantly reduce FBG, PBG, and HbA1c levels. Berberine also demonstrated ability to reduce triglyceride and cholesterol levels. Minimal gastrointestinal side effects were shown but no liver or kidney damage was observed. These observations in diabetes patients demonstrate that berberine is a safe and effective antidiabetic agent.

Table 6: Comparison of clinical studies of berberine in diabetes patients.

Study type
Study subjects
Berberine dosage
Control treatment
Major findings
Side effects
Reference

Randomised, double-blind, placebo-controlled, multiple-center
Type 2 diabetes and dyslipidemia ()
0.5 g, b.i.d for 3 months
Placebo
Significantly reduced fasting and postload plasma glucose, HbA1c

Significantly reduced triglyceride, total cholesterol, and LDL-cholesterol

Mild to moderate constipation in 5 patients
[61]

Randomised, blinded, placebo-controlled
Type 2 diabetes ()
0.5 g, t.i.d for 3 months
Metformin (0.5 g t.i.d)
Significantly reduced FBG, PBG, and HbA1c

Significantly reduced plasma triglycerides

Transient gastrointestinal adverse effects. No liver or kidney damage
[14]

Type 2 diabetes poorly controlled ()
0.5 g, t.i.d for 3 months
Existing anti-diabetic treatment
Lowered FBG and PBG

Significantly decreased HbA1c

Significantly reduced fasting plasma insulin and HOMA-IR

Randomised

Type 2 diabetes ()
1 g/day for 2 months
Metformin (1.5 g/day); rosiglitazone (4 mg/day)
Significantly reduced FBG, HbA1c, and triglycerides

Serum insulin level was declined significantly (), increased insulin sensitivity in peripheral tissues

Significantly elevated surface expression of InsR by 3.6-fold
No adverse events
[62]

Type 2 diabetes with chronic hepatitis C virus infection ()
1 g/day for 2 months
N/A
Significantly reduced FBG and triglyceride levels

Reduced the elevated ALT and aspartate aminotransferase levels

b.i.d: twice daily; t.i.d: three times daily; FBG: fasting blood glucose; HOMA-IR: homeostasis model of assessment—insulin resistance; PBG: postprandial blood glucose.

4. Discussion

The “rule-of-five” analysis by Lipinski et al. [7] shows that poor absorption or permeation of a compound is more likely when there are more than five hydrogen-bond donors; the molecular mass is more than 500 Da; the lipophilicity is high (expressed as  ); the sum of nitrogen and oxygen is more than 10. Specific structural and physiochemical properties, such as “rule-of-five,” are required for clinical drugs to have sufficient levels of efficacy, bioavailability, and safety, which define target sites to which drug-like molecules can bind [4].

Plant compounds exhibit enormous structural diversity and only a small portion of the diversity has been explored for its pharmacological potential [64]. In recent years, herbal compounds have been source of new drugs [64]. Approximately 28% of new molecular entities (NMEs) between 1981 and 2002 were natural products or natural product derived; further to this, 20% of these NMEs were natural product mimics [65]. There are a number of successful plant-derived drugs, especially in anti-cancer treatment. Medicinal herbal compounds have become an important source for the discovery of new drugs. Further, drugs derived from medicinal plants can also be used as drug leads suitable for optimization by medicinal and synthetic chemists [65].

As Chinese herbal medicine becomes increasingly popular in the west, researchers are spending more time looking into mechanisms of actions of crude extracts and herbal compounds such as berberine. In recent years, extensive research has been done to explore the effects of berberine on various cell lines in vitro. In cell-based studies, berberine has shown effects on multiple molecular targets and alters various biological pathways. Berberine associates with a range of conditions, particularly diabetes, hyperlipidemia, and cancer. Many in vitro studies showed potent anticancer properties of berberine against various cancer cells. This observation is valuable in the search for new anti-cancer therapeutics with potent anti-cancer effects but reduced side effect. So berberine may potentially be developed into an anticancer agent, like other natural compounds (taxol, camptothecin) that have been developed and used as anticancer agents.

Diabetes mellitus is a major health problem around the world and its prevalence is on the rise. Diabetes mellitus drug therapy is limited by availability of effective medications, as existing oral hypoglycaemic agents often have side effects and fails in long-term administration [14]. Berberine has shown significant results in fasting blood glucose levels reduction, increase in insulin sensitivity, and improvement in insulin resistance in vitro, in diabetic animal models and in diabetic patients. Further, berberine shows mechanism that current antidiabetic drugs do not have. For instance, berberine has shown effects on pancreatic -cell number and mass improvement [41, 50, 51]. In addition, berberine has a good safety profile and does not show side effects such as hypoglycaemia, weight gain, or liver and kidney damage. Metformin and rosiglitazone are not recommended for use in diabetic patients with liver function damage [54, 63]. Berberine has shown to be effective in the reduction of blood glucose level and is safe in diabetic patients with viral hepatitis [62]. Berberine can therefore be investigated as an effective diabetes therapy with patients with liver function damage. In addition to its hypoglycemic effects in diabetic patients, berberine also reduced triglyceride and cholesterol levels. Abnormalities in lipid metabolism often deteriorate diabetes and cause complications. The regulation of lipid metabolism in diabetes patients by berberine may have clinical significance in managing diabetic patients with hyperlipidemia. Although there are only a small number of clinical studies and evidence is limited, current reports still show a promising future for berberine being developed into a new antidiabetic agent.

In China, berberine has been manufactured into the over-the-counter drug Huang Lian Su Pian, also known as Coptis Extract Tablets for the treatment of traveler’s diarrhea [14, 17]. However, in vitro and in vivo studies have shown that berberine has potent anti-cancer, antidiabetic, antilipidemic, and anti-inflammatory effects. Therefore, further clinical studies are warranted to investigate the potential of berberine in the application of cancer and diabetes treatments in the future.

Pharmacological activity of CHMs begins with the binding of the active components to their molecular targets. CHMs are considered as typical multitherapeutics that can interact simultaneously with multiple targets. The origins and the progression of diseases are multifactorial. Complex disorders such as cancer, cardiovascular disease, and depression tend to result from multiple molecular abnormalities, not from a single defect [66]. Biochemical and genetic studies revealed the molecular mechanism that underlie common illnesses [66]. Reports show that targets for neoplasm diseases, circulatory system diseases, infectious diseases, and nervous system and sense organs disorders constitute the largest number of targets [1]. Because drug targets are presented at the molecular level, increased knowledge of herbal targets can facilitate deeper understanding of complex diseases at its fundamental level. In turn, it is likely to determine the optimal molecular targets for therapeutic intervention [6].

Further to assisting the molecular dissection of the mechanism of action of CHMs, knowledge on herbal targets makes it possible to use disease specific targets and design more desirable herbal drugs/formulas with increased specificity and efficacy. Target-oriented synthesis in drug discovery involves in preselected protein targets [67]. Binding of drugs to preselected protein target/s is dependent on which biological pathway the drug is aimed to modulate the target or the diseased pathway(s) [67]. Target and disease specific drug design results in improved efficacy and reduced side effects, especially in high impact diseases that require more effective and more treatment options. However, due to the fact that diseases often involve in multiple molecular abnormalities, diversity-oriented syntheses are used in efforts to identify simultaneously therapeutic protein targets and their small-molecule regulators [67]. Target-oriented drug design allows more focused drug design, which in turn costs less time and money for pharmaceutical companies.

Protein structure of well-validated old and new targets should be able to guide the chemical effort directed at new drugs [68]. Study of various aspects of known targets including molecular mechanism of their binding agents and related adverse effects is useful for finding clues to new target identification [9]. Based on the knowledge of molecular targets and molecular understanding of disease state and using this knowledge will allow some direction in identifying potential targets. Potential herbal targets may come from the same class as confirmed therapeutic targets and have similar physiological functions, or maybe a structure along a biological pathway. Additionally, with increased number of potential targets from ~500 to >5,000, the nature of pharmaceutical research has changed. This increase in numbers has given researchers more opportunities to discover and design new and improved drugs.

Target selection may be one of the most important determinants of attrition and the overall R&D productivity. There are few ways to overcome this challenge and improve the target selection process, in turn, improving R&D productivity. First of all, researchers can discover new target classes. Targets of herbal medicine are becoming a popular resource to find new target classes. In addition, increased understanding of genetic variations/polymorphisms of drug targets or drug metabolising enzymes can assist in target selection and drug metabolism. Further, the use of new technology can help to speed up the early exploratory discovery phase of drug discovery.

In summary, updated knowledge of herbal targets is valuable contribution to complex disease understanding and clinical responses. Further, drug discovery and development from herbal medicines can be supported by new target discovery and target-focused drug design. This will speed up the exploratory phase of drug R&D and benefit the pharmaceutical industry in terms of cost and time.

Abbreviations

Bax: | BCL2-associated X protein
FBG: | Fasting blood glucose
GLP-1: | Glucagon like peptide 1
: | Hemoglobin
InsR: | Insulin receptor
PBG: | Postprandial blood glucose.

Authors’ Contribution

Xiao-Wu Chen and Yuan Ming Di contributed equally to this work.

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