Gastroenterology Research and Practice
Volume 2016 (2016), Article ID 9130602, 8 pages
http://dx.doi.org/10.1155/2016/9130602

Research Article

Characteristics and Risk Factors of Helicobacter pylori Associated Gastritis: A Prospective Cross-Sectional Study in Northeast Thailand

Taweesak Tongtawee,1,2 Soraya Kaewpitoon,2,3 Natthawut Kaewpitoon,4,5 Chavaboon Dechsukhum,2,6 Wilairat Leeanansaksiri,⁷ Ryan A. Loyd,2,3 Likit Matrakool,1,2 and Sukij Panpimanmas1,2

¹Department of Surgery, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
²Suranaree University of Technology Hospital, Nakhon Ratchasima 30000, Thailand
³Family Medicine and Community Medicine, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
⁴Parasite Research Unit, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
⁵Faculty of Public Health, Vongchavalitkul University, Nakhon Ratchasima 30000, Thailand
⁶School of Pathology, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
⁷School of Preclinic, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand

Received 22 October 2015; Revised 14 January 2016; Accepted 31 January 2016

Academic Editor: Francesco Franceschi

Copyright © 2016 Taweesak Tongtawee 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.

Background and Aim. Risk factors for Helicobacter pylori infection are genetic susceptibility and poor living conditions. This study aimed to investigate the Mdm2 gene, clarithromycin resistance, and possible risk factors for Helicobacter pylori infection. Methods. Risk factors and clinical characteristics were analyzed, including patient demographic data, patient income, personal history, possible source of transmission, patient symptoms, endoscopic findings, patterns of clarithromycin resistance, and patterns of Mdm2 SNIP309. Results. Ingestion of pickled fish (OR = 11.27, 95% CI = 4.31–29.45, ), salt crab (OR = 8.83, 95% CI = 1.99–39.14, ), and Papaya salad (OR = 8.73, 95% CI = 4.54–16.79, ). The prevalence of clarithromycin resistance was 56% (wild type, A2143/2142A, is 23.8%; mutation, A2143/2142CG, is 35.7%; wild type + mutation is 40.5%). The genetic polymorphisms of Mdm2 SNIP309 were SNIP309 T/T homozygous in 78%, SNIP309 G/T heterozygous in 19%, and SNIP309 G/G homozygous in 3%. Conclusion. Pickled fish, salt crab, and Papaya salad are positive risk factors. There was high prevalence of clarithromycin resistance. The Mdm2 SNIP309 G/G homozygous genotype might be a risk factor for gastric cancer and the fact that it is infrequent in Thailand.

1. Introduction

Since the discovery of Helicobacter pylori in 1983, strong evidence has indicated that H. pylori infection plays an important role in the pathogenesis of chronic gastritis, peptic ulcer disease, and gastric malignancy [1, 2]. The risk factors for H. pylori infection in both developing and developed countries are closely related to poor living conditions and genetic susceptibility [3]. Low socioeconomic status, poor hygiene conditions, overcrowding, bed sharing, interfamilial clustering, family history of parental gastric disease, and person-to-person contact through fecal-oral or oral-oral contamination may be the route of transmission [4–10]. Among different Asian countries, H. pylori infections are more frequent in developing countries such as India, Bangladesh, Pakistan, and Thailand [11–13]. In contrast, in more industrialized and developed regions of Asia like Japan, China, and Singapore, the frequency of H. pylori infection has been reported to be somewhat lower [14]. The prevalence of H. pylori infection varies between different geographic locations, including Thailand. The prevalence of H. pylori infection in the south region of Thailand (14.4%) was the lowest compared with the northeast (60.6%), north (46.9%), and central (39.0%) regions (all ) [15]. The northeast region of Thailand shows the highest rate of H. pylori infection. The primary resistance rate of H. pylori to clarithromycin is different in each region of the world. The overall global resistance from a systemic review in 2004 was 9.9% (95% CI: 8.3–11.7) [16]. According to a nationwide survey of H. pylori antibiotic resistance in Thailand, antibiotic resistance was present in 50.3% of cases including amoxicillin (5.2%), tetracycline (1.7%), clarithromycin (3.7%), metronidazole (36%), ciprofloxacin (7.7%), levofloxacin (7.2%), and multiple drugs (4.2%) with unknown mutation patterns of drug resistance [17]. Several methods have been proposed to increase the eradication rate, including the extension of the treatment duration to 14 days, the use of a four-drug regimen (bismuth-containing quadruple, sequential, and concomitant treatments), and the use of novel antibiotics, such as levofloxacin [18–21]. The progressive loss of efficacy of standard eradication therapies has made the treatment of H. pylori more challenging than ever. Endoscopic-guided antibiotic susceptibility testing had previously been suggested to guide treatment after failure of second-line therapies. However, its role has expanded over the years, in accordance with the current Maastricht Guidelines. Several authors have dealt with this topic, developing both efficacy trials and cost-effectiveness trials against resistant H. pylori infections as well as infections in naïve patients. However, results are not homogeneous enough to provide definitive advice, because antibiotic resistance is not the only reason for treatment failure. Moreover, the culture-guided approach is surrounded by many practical issues, such as the availability of both endoscopy units and microbiology laboratories and the need for a standard of quality that cannot be satisfied everywhere. Finally, pretreatment susceptibility testing should be part, and not the only weapon, of a targeted, personalized strategy to overcome H. pylori infection [22]. The results of our previous study showed that adding a probiotic can improve H. pylori eradication rates [23, 24]. Furthermore, several studies and meta-analyses have reported that certain probiotic strains can exhibit inhibitory activity against H. pylori bacteria. In addition, some probiotic strains can reduce the occurrence of side effects due to antibiotic therapy and consequently increase the H. pylori eradication rate [25–27]. In addition, geographical differences can also impair efficacy rates of different therapies, as assessed in a recent meta-analysis which showed that geographic weighting could be the main factor affecting the lack of differences between sequential and 14-day triple therapy outcomes [28]. H. pylori infection plays an important role in gastric cancer but there is a low incident of gastric cancer in the Thai population in the setting of high prevalence of H. pylori infection. This unexpectedly low rate may be influenced by Thai genetic predispositions to cancer. Mdm2 is the major negative regulator of p53, the key tumor suppressor involved in the tumorigenesis of the majority of human cancers. Mdm2 is proposed to regulate p53 at the posttranslational level by enhancing p53 degradation through E3 ligase activity [29–31]. The clinical data concerning the role of Mdm2 SNIP309 in gastric cancer development is limited. A case-control study among the Iranian gastric cancer population showed that Mdm2 SNIP309 is a risk factor for this cancer with an odds ratio of 2.08 (95% confidence interval = 1.37–4.34). The same trend was observed in the Chinese [32, 33]. This study aimed to investigate the characteristics of H. pylori associated gastritis, clarithromycin resistance, Mdm2 polymorphisms, and significant risk factors of H. pylori associated gastritis among the Thai population.

2. Materials and Methods

2.1. Patients

Three hundred patients undergoing esophagogastroduodenoscopy for investigation of dyspeptic symptoms participated in this study from June 2014 to June 2015. The following exclusion criteria were applied: age below 18 or above 70 years old, previous H. pylori eradication treatment prior to the previous 2 months, significant medical illnesses, history of previous gastric surgery, and the use of antimicrobials or gastrointestinal medications like PPIs or bismuth compounds within the previous 2 months. The study was performed in accordance with good clinical practice and the guidelines of the Declaration of Helsinki. All patients provided written informed consent and the study protocol was approved by the Ethics Committee for Research Involving Human Subjects, Suranaree University of Technology (EC-57-22 and EC-57-34).

2.2. Diagnosis of H. pylori Associated Gastritis

A diagnosis of H. pylori associated gastritis was made if H. pylori were seen on histopathological examination and the rapid urease test was positive. Finally, we proved bacterial infection by PCR.

2.3. Biopsy Specimens

Biopsy was done according to the Updated Sydney classification [34], which indicates sampling from 5 biopsy sites. Each specimen was obtained from each of the following locations: the lesser curvature of the corpus about 4 cm proximal to the angularis (1), the lesser curvature (2) and the greater curvature of the antrum (3) both within 2 to 3 cm of the pylorus, the middle portion of the greater curvature of the corpus, approximately 8 cm from the cardia (4), and the incisura angularis (5).

2.4. Esophagogastroduodenoscopy (EGD)

Local anesthesia was the same as that for conventional gastroscopy. The gastroscopic procedures were performed using an upper GI video endoscope (Olympus EVIS EXERA III, CV-190). The whole stomach was examined first with conventional endoscopy and then biopsies were performed. A symptom questionnaire (abdominal pain, vomiting, diarrhea, gastrointestinal bleeding, and iron deficiency anemia) was completed by the patient at the time of initial EGD in the endoscopy room (timeout).

2.5. Histological Analysis

Gastric tissue specimens for histological analysis were sent to the pathologists. The hematoxylin and eosin stain and Giemsa stain were used for identification of H. pylori. The pathological analysis was made by 5 pathologists at Bangkok Pathological Laboratory outside Suranaree University of Technology.

2.6. DNA Isolation Method

The DNA of H. pylori was extracted from frozen gastric tissue biopsy specimens, which were stored at a temperature of less than –20°C, using the QIAamp DNA FFPE tissue kit (Qiagen, USA). DNA extraction was performed according to the manufacturer protocol. Briefly, ten tissue sections of 5 μM thick were collected in 1.5 mL microcentrifuge tubes. The tissue specimens were placed in a microcentrifuge tube, and buffer ATL (180 μL) and proteinase K (20 μL) were added. The samples were mixed by vortexing and incubated at 56°C until the tissues were completely lysed. Buffer AL (200 μL) was added to the samples, which were subsequently incubated at 70°C for 10 minutes. Next, 240 μL of 100% ethanol was added to the samples, which were mixed by vortexing for 15 seconds. Each sample was placed in a QIAamp spin column and centrifuged at 8000 rpm for 1 minute. The columns were washed with AW1 buffer (500 μL), and samples were centrifuged at 8000 rpm for 1 minute. AW2 buffer (500 μL) was added to the column, and samples were centrifuged at 14,000 rpm for 3 minutes. Buffer AE (200 μL) was added to each sample, and samples were incubated for 1 minute prior to centrifugation at 8000 rpm for 1 minute. Finally, the DNA was extracted from the tissue.

2.7. Real-Time PCR Hybridization Probe Methods for 23S rRNA Gene Point Mutation

The mutation detection of the 23S rRNA gene was performed by using the real-time PCR technique for template amplification. A hybridization fluorescent probe was utilized for PCR product detection. The real-time PCR procedure was accomplished by using the Light Cycler® 480 instrument (Roche Diagnostics, Neuilly sur Seine, France). The identification of target PCR products was accomplished by melting curve analyses. The target PCR products were amplified by using the primers HPYS and HPYA as reported in the previous literature. PCR-RFLP can also detect the point mutation A2142C of the 23S rRNA gene associated with resistance of H. pylori to clarithromycin. The amplified products have a size of 267 bp. The hybridization probes include the one that is in the mutation sites of the 23S rRNA gene of H. pylori, the sensor probe. The sequence is 5-GGCAAGACGGAAAGACC-3, nucleotides 2504 to 2520. This sensor probe is labeled by LC-red 640 at 5′ and phosphorylated at 3′. The anchor probe hybridizes to the PCR product at the site 3 bp upstream to the sensor probe. The probe sequence is 5-TGTAGTGGAGGTGAAAATTCCTCCTACCC-3, nucleotides 2473 to 2501, GenBank accession number U27270. The probe is labeled with fluorescein at 3′. 3 μL DNA templates were subjected to PCR reaction in the final volume of 20 μL. The reaction mixture consists of MgCl₂ (25 mM), forward and reverse primers (20 M each), sensor and anchor probes (20 M each), and 2 μL of FastStart DNA Master Hybridization Probes (Roche Diagnostics). PCR amplification comprised an initial denaturation cycle at 95°C for 10 min, followed by 50 amplification cycles (with a temperature transition rate of 20°C/s) consisting of 95°C for 0 s, annealing at 60°C for 10 s, and extension at 72°C for 17 s. After amplification, a melting step was performed, consisting of 95°C for 0 s, cooling to 45°C for 30 s (with a temperature transition rate of 20°C/s), and finally a slow rise in the temperature to 85°C at a rate of 0.1°C/s with continuous acquisition of fluorescence decline. According to previous reports using this real-time PCR protocol, this melting curve analysis can detect the possible three mutant genotypes along with the wild type according to different Tm. The reported Tm of the wild type, A2121C, A2142G, and A2143G were 61.5, 58.0, 53, and 53.6°C, respectively.

2.8. Real-Time PCR Hybridization Probe Methods for Mdm2 SNIP309 Genotypes

Mdm2 SNIP309 genotypes were analyzed using real-time PCR. The hybridization probes (light-cycler probe) were utilized for this analysis. The real-time PCR procedure was accomplished by using the Light Cycler® 480 instrument (Roche Diagnostics, Neuilly sur Seine, France). The identification of target PCR products was accomplished by melting curve analyses. The target PCR products were amplified by using the primers as reported in the previous literature. The hybridization probes included the one that is in the SNIP309 (the sensor probe). This sensor probe was labeled by LC-red 640 at 5′ and phosphorylated at 3′. The anchor probe hybridizes to the PCR product at the site 3 bp upstream to the sensor probe. 3 μL DNA templates were subjected to PCR reaction in the final volume of 20 μL. The reaction mixture consisted of MgCl₂ (25 mM), forward and reverse primers (20 M each), sensor and anchor probes (20 M each), and 2 μL of FastStart DNA Master Hybridization Probes (Roche Diagnostics). PCR amplification comprised an initial denaturation cycle at 95°C for 10 min, followed by 50 amplification cycles (with a temperature transition rate of 20°C/s) consisting of 95°C for 0 s, annealing at 60°C for 10 s, and extension at 72°C for 17 s. After amplification, a melting step was performed, consisting of 95°C for 0 s, cooling to 45°C for 30 s (with a temperature transition rate of 20°C/s), and finally a slow rise in the temperature to 85°C at a rate of 0.1°C/s with continuous acquisition of fluorescence decline. The genotype of each patient was categorized into the three genotypes SNIP309 G/G homozygous, T/T homozygous, and G/T heterozygous based on the different melting curves.

2.9. Risk Factors, Endoscopic Finding, Personal History, and Possible Route of Transmission for H. pylori Infection

The following variables collected in the questionnaire were analyzed as possible risk factors for H. pylori infection: age, gender, and patient’s income. The clinical symptoms experienced during the study included abdominal pain, vomiting, diarrhea, GI bleeding, and iron deficiency anemia. Endoscopic findings included gastric ulcer, duodenal ulcer, gastric and duodenal ulcer, inflammatory polyp, nonulcer gastritis, nonulcer duodenitis, and gastroesophageal reflux disease. Possible sources of transmission included family history, ingesting food from street vendors, being a farmer, nonvegetarian food, ingesting pickled fish, ingesting salt crab, ingesting Papaya salad, or ingesting Thai vermicelli with curry. Personal history included smoking, alcohol ingestion, high temperature food intake, and spicy food.

2.10. Statistical Analysis

The associations of patient’s demographic data, patient’s symptom, endoscopic finding, possible source of transmission, and personal history with H. pylori positive results were examined through univariate analysis. Backward stepwise procedures were used to build the multivariate analysis; the final model included only those variables that were found to be statistically significant in the univariate analysis. The associations were expressed as odds ratios (OR) with their confidence intervals (95% CI). The data were analyzed with the SPSS software (SPSS for Windows, version 16). Significance was set at .

3. Results

A total of 300 patients were enrolled in this study [153 males (51%) and 149 females (49%)] from the northeast regions of Thailand. The total number of H. pylori infected individuals was 150 and the total number of noninfected individuals was also 150. Looking at the patients’ demographic data and H. pylori infection by univariate analysis showed no association between them (Table 1). This study showed a high rate of 23S ribosomal RNA point mutations (56.2%). Among the mutations group, the rates of cases which had the wild type genotype, mutant strain, and mixed wild type and mutant genotype were 23.8%, 35.7%, and 40.5%, respectively (Table 2 and Figure 1). The incidence of Mdm2 SNIP309 T/T homozygous was 78% and that of Mdm2 SNIP309 G/T heterozygous was 19% and that of Mdm2 SNIP309 G/G homozygous was 3%. The results show that the Mdm2 SNIP309 T/T and Mdm2 SNIP309 G/T genotypes are rather high in this Thai population (Table 3 and Figure 2).

Table 1: Association between patient’s demographic data and H. pylori infection (univariate analysis).

Variable
Positive for H. pylori,  (%)
Negative for H. pylori,  (%)
value

Total number: 150
Total number: 150

Age group

0.91

    17–30
41 (27.3)
28 (18.6)

    31–44
30 (20)
31 (20.6)

    45–58
41 (27.3)
43 (28.6)

    59–70
38 (25.3)
48 (32)

Sex (male/female)
72/78
81/69
0.96

Income

0.97

    <5,000 Baht/month
5 (3.3)
19 (12.7)

    5,000–10,000 Baht/month
86 (57.3)
69 (46)

    10,000–15,000 Baht/month
50 (33.3)
56 (37.3)

    >15,000 Baht/month
9 (6)
6 (4)

Significance is set at .

Table 2: Mutation patterns of 23S ribosomal RNA point mutations.

Test susceptible/resistant to clarithromycin

Wild type, A2143/2142A (susceptible)
23.8%

Mutation, A2143/2142CG (resistant)
35.7%

Wild type + mutation (susceptible + resistant)
40.5%

Table 3: Mdm2 SNIP309 polymorphism.

Mdm2 SNIP309 polymorphism

SINP309 T/T homozygous
78%

SNIP309 G/T heterozygous
19%

Mdm2 G/G homozygous
3%

Figure 1: Pattern of clarithromycin resistance by using the real-time PCR hybridization probe method.

Figure 2: Pattern of genetic Mdm2 SNIP309 polymorphism using real-time PCR hybridization probes (light-cycler probe).

3.1. Patient’s Symptom, Endoscopic Finding, and H. pylori Infection

The associations between patient’s symptoms, endoscopic findings, and H. pylori infection were analyzed by using univariate analysis. The results showed an association only between the patient’s symptoms and H. pylori infection () but no association was found by using the binary logistic regression model. Abdominal pain and iron deficiency anemia had this relative association with H. pylori infection (Table 4).

Table 4: Association between patient’s symptoms, endoscopic findings, and H. pylori infection (univariate analysis).

Variable
Positive for H. pylori,  (%)
Negative for H. pylori,  (%)
value

Total number: 150
Total number: 150

Patient’s symptom

<0.01

    Abdominal pain
73 (48.7)
68 (45.3)

    Gastrointestinal bleeding
12 (8)
12 (8)

    Vomiting
8 (5.3)
11 (7.3)

    Diarrhea
3 (2)
10 (6.7)

    Iron deficiency anemia
54 (36)
49 (32.7)

Endoscopic finding

0.17

    Gastric ulcer
7 (4.7)
12 (8)

    Duodenal ulcer
22 (14.7)
13 (8.7)

    Gastric and duodenal ulcer
3 (2)
12 (8)

    Inflammatory polyp
8 (5.3)
9 (6)

    Nonulcer gastritis
95 (63.3)
84 (56)

    Nonulcer duodenitis
1 (0.7)
11 (7.3)

    Gastroesophageal reflux disease
14 (9.3)
9 (6)

Significance is set at .

3.2. Possible Source of Transmission, Personal History, and H. pylori Infection

The associations between the possible source of transmission, personal history, and H. pylori infection were analyzed by using univariate analysis. The results showed an association only between the source of transmission and H. pylori infection () (Table 5). The results showed ingestion of pickled fish, salt crab, or Papaya salad to be significant predictors for H. pylori infection () (Table 6). Subjects who ingested pickled fish were 11.27 times more likely to have H. pylori infection compared with subjects who did not. Those who ingested salt crab were 8.83 times more likely to have H. pylori infection compared with those who did not, and those who ingested Papaya salad were 8.73 times more likely to have H. pylori infection compared with those who did not (Table 7).

Table 5: Predictive value of patient’s symptoms for H. pylori infection (multivariate analysis).

Variable
95% confidence

Odds ratio
Interval
value

Abdominal pain
1.11
0.57–1.41
0.64

Gastrointestinal bleeding
0.91
0.40–2.08
0.83

Vomiting
0.64
0.25–1.63
0.35

Diarrhea
0.28
0.07–1.06
0.06

Iron deficiency anemia
1.15
0.72–1.86
0.54

Significance is set at .

Table 6: Association between possible source of transmission, personal history, and H. pylori infection (univariate analysis).

Variable
Positive for H. pylori,  (%)
Negative for H. pylori,  (%)
value

Total number: 150
Total number: 150

Possible root of transmission

<0.01

    Family history
2 (1.3)
14 (9.3)

    Ingesting food from street vendor
15 (10)
23 (15.3)

    Being a farmer
4 (2.7)
35 (23.3)

    Nonvegetarian food
—
28 (18.7)

    Ingesting pickled fish
42 (28)
5 (5.3)

    Ingesting salt crab
16 (10.7)
2 (1.3)

    Ingesting Papaya salad
68 (45.3)
13 (8.7)

    Thai vermicelli eaten with curry
3 (2)
30 (20)

Personal history

0.05

    Smoking
49 (32.7)
20 (13.3)

    Alcohol drinking
89 (59.3)
30 (20)

    High temperature food intake
5 (3.3)
65 (43.3)

    Spicy food
7 (4.7)
35 (23.3)

Significance is set at .

Table 7: Predictive value of possible source of transmission for H. pylori infection.

Variable
95% confidence

Odds ratio
Interval
value

Family history
0.13
0.02–0.58
0.08

Ingesting food from street vendor
0.58
0.29–1.16
0.12

Being a farmer
0.09
0.03–0.26
<0.01

Ingesting pickled fish
11.27
4.31–29.45
<0.01

Ingesting salt crab
8.83
1.99–39.14
<0.01

Ingesting Papaya salad
8.73
4.54–16.79
<0.01

Thai vermicelli eaten with curry
0.08
0.02–0.27
<0.01

Significance is set at .

4. Discussion

The prevalence of H. pylori infection varies between different geographic locations, including Thailand. The highest prevalence of H. pylori infection is found in the northeast (60.6%) [15]. The reasons are unclear and limited studies were reported from Thailand. Some studies reported that risk factors for H. pylori infection are generally considered to include lower education level and low annual income [35, 36]. The fecal-oral and oral-oral routes are important transmission routes of H. pylori and the oral cavity is a potential extragastric reservoir for H. pylori [37]. Some popular foods found in the northeast region of Thailand including pickled fish, salt crab, and Papaya salad were found to be significant predictors of H. pylori infection in our area by both univariate and binary logistic regression model analysis. To answer this question, we plan to try to culture H. pylori from these suspected foods. Age group, patient’s income, and personal history were not associated with H. pylori infection in our area. Abdominal pain and iron deficiency anemia were the most common symptoms in the patients with H. pylori infection whereas duodenal ulcer and nonulcer gastritis were the most common endoscopic findings in our patient population from northeast Thailand but neither was statistically associated with H. pylori infection in northeast Thailand. According to our results, the majority of histologically proven H. pylori infected cases have mutant genotype, which confers clarithromycin resistance; the clinical data indicates that most of these cases have a poor response to treatment with standard regimen. This observation indicates that, in the cases that have resistant strains, this treatment protocol (clarithromycin base triple therapy) is ineffective to eradicate the bacteria in our area and provide clinical practice outcomes. The possible reasons that underlie the mixed genotypes are multiple infections of the same patient by two strains or the occurrence of a mutation after infection by a single strain. Further genotypic analyses are necessary to confirm these possible mechanisms and larger multicenter studies about mutation patterns are needed to test this hypothesis. Physicians should be concerned about the local resistance prevalence in their area and choose the most appropriate regimen for H. pylori eradication.

Cancer of the stomach is the fifth most common human cancer worldwide. Intriguingly, marked variation in the gastric cancer incidence is observed. The highest incidence of gastric cancer is found in Asia such as Korea (41.8/100,000) whereas the lowest incidence is found in Africa and Northern America. In the Thai population, the incidence of gastric cancer is only 3.5/100,000. As chronic gastritis is the major predisposing condition to gastric cancer, study of the association between these conditions has become an area of interest. However, in Thailand, where the gastric cancer incidence falls into the low-risk country group, the prevalence of H. pylori associated gastritis is intriguingly high especially in the northeast region. Thailand is an area of the enigmatic situation that is also reported in Africa [38]. Many studies have investigated the association between H. pylori infection and gastric cancer in Asia. A study from India failed to demonstrate an association between H. pylori infection and gastric cancer [39–42] whereas studies from China and Japan demonstrated an association between H. pylori infection and gastric cancer [43, 44]. Our study suggests that the frequency of Mdm2 SNIP309 G/G is very low among the Thai population, which can explain to some extent the low incidence of gastric cancer changes. Mdm2 SNIP309 T/T homozygous and Mdm2 SNIP309 G/T heterozygous are both rather high in prevalence. According to previous data, these genotypes confer a protective effect for certain human cancers including gastric cancer and may provide the answer to the “Thailand enigma.” This study reported several lifestyle-related risk factors for stomach cancer in northeast Thailand [45]. H. pylori infection was associated with variables indicative of ingestion of some popular foods such as pickled fish, salt crab, and Papaya salad. These are favorite foods in the northeast and north regions of Thailand including Laos PDR. Unfortunately, there is lack of data on the clarithromycin resistance, gastric cancer, and H. pylori infection prevalence in Laos PDR which has a similar lifestyle to the northeast region of Thailand. In conclusion, H. pylori infection was associated with variables indicative of ingestion of some popular foods. There was high prevalence of clarithromycin resistance. Therefore, the use of clarithromycin-based triple therapy is not recommended as an empiric first-line regimen for H. pylori eradication in our area. The Mdm2 SNIP309 G/G homozygous genotype might be a risk factor for gastric cancer and the fact that it is infrequent in Thailand could explain to some extent the low incidence of gastric cancer in the Thai population. Larger multicenter studies are needed to test this hypothesis.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This study was supported by a grant for medical investigation from Suranaree University of Technology and was approved by the Ethics Committee for Research Involving Human Subjects, Suranaree University of Technology (EC-57-22 and EC-57-34).

References

M. Mihara, K. Haruma, T. Kamada et al., “The role of endoscopic findings for the diagnosis of Helicobacter pylori infection: evaluation in a country with high prevalence of atrophic gastritis,” Helicobacter, vol. 4, no. 1, pp. 40–48, 1999.

M. Asaka, M. Kato, T. Sugiyama et al., “Follow-up survey of a large-scale multicenter, double-blind study of triple therapy with lansoprazole, amoxicillin, and clarithromycin for eradication of Helicobacter pylori in Japanese peptic ulcer patients,” Journal of Gastroenterology, vol. 38, no. 4, pp. 339–347, 2003.

V. Misra, R. Pandey, S. P. Misra, and M. Dwivedi, “Helicobacter pylori and gastric cancer: Indian enigma,” World Journal of Gastroenterology, vol. 20, no. 6, pp. 1503–1509, 2014.

EUROGAST Study Group, “Epidemiology of and risk factors for Helicobacter pylori infection among 3194 asymptomatic subjects in 17 populations,” Gut, vol. 34, no. 12, pp. 1672–1676, 1993.

H. M. Malaty and D. Y. Graham, “Importance of childhood socioeconomic status on the current prevalence of Helicobacter pylori infection,” Gut, vol. 35, no. 6, pp. 742–745, 1994.

O. P. Galpin, C. J. Whitaker, and A. J. Dubiel, “Helicobacter pylori infection and overcrowding in childhood,” The Lancet, vol. 339, no. 8793, p. 619, 1992.

F. Perri, M. Pastore, G. Leandro et al., “Helicobacter pylori infection and growth delay in older children,” Archives of Disease in Childhood, vol. 77, no. 1, pp. 46–49, 1997.

D. Vaira, J. Holton, M. Menegatti et al., “Routes of transmission of Helicobacter pylori infection,” Italian Journal of Gastroenterology and Hepatology, vol. 30, no. 3, pp. 279–285, 1998.

H. Brenner, D. Rothenbacher, G. Bode, and G. Adler, “Parental history of gastric or duodenal ulcer and prevalence of Helicobacter pylori infection in preschool children: population based study,” British Medical Journal, vol. 316, no. 7132, pp. 655–665, 1998.

B. A. Al-Knawy, M.-E. K. Ahmed, S. Mirdad, A. ElMekki, and O. Al-Ammari, “Intrafamilial clustering of Helicobacter pylori infection in Saudi Arabia,” Canadian Journal of Gastroenterology, vol. 14, no. 9, pp. 772–774, 2000.

C. Thiede, A. Morgner, B. Alpen et al., “What role does Helicobacter pylori eradication play in gastric malt and gastric malt lymphoma?” Gastroenterology, vol. 113, no. 6, pp. 61–64, 1997.

N. Lunet and H. Barros, “Helicobacter pylori infection and gastric cancer: facing the enigmas,” International Journal of Cancer, vol. 106, no. 6, pp. 953–960, 2003.

D. Y. Graham, E. Adam, G. T. Reddy et al., “Seroepidemiology of Helicobacter pylori infection in India—comparison of developing and developed countries,” Digestive Diseases and Sciences, vol. 36, no. 8, pp. 1084–1088, 1991.

H. Miwa, M. F. Go, and N. Sato, “H. pylori and gastric cancer: the Asian enigma,” The American Journal of Gastroenterology, vol. 97, no. 5, pp. 1106–1112, 2002.

T. Uchida, M. Miftahussurur, R. Pittayanon et al., “Helicobacter pylori infection in Thailand: a nationwide study of the CagA phenotype,” PLoS ONE, vol. 10, no. 9, Article ID e0136775, 2015.

F. Mégraud, “H. pylori antibiotic resistance: prevalence, importance, and advances in testing,” Gut, vol. 53, no. 9, pp. 1374–1384, 2004.

R.-K. Vilaichone, P. Gumnarai, T. Ratanachu-ek, and V. Mahachai, “Nationwide survey of Helicobacter pylori antibiotic resistance in Thailand,” Diagnostic Microbiology and Infectious Disease, vol. 77, no. 4, pp. 346–349, 2013.

L. Fuccio, M. E. Minardi, R. M. Zagari, D. Grilli, N. Magrini, and F. Bazzoli, “Meta-analysis: duration of first-line proton-pump inhibitor-based triple therapy for Helicobacter pylori eradication,” Annals of Internal Medicine, vol. 147, no. 8, pp. 553–562, 2007.

D. Vaira, A. Zullo, N. Vakil et al., “Sequential therapy versus standard triple-drug therapy for Helicobacter pylori eradication: a randomized trial,” Annals of Internal Medicine, vol. 146, no. 8, pp. 556–563, 2007.

A. Zullo, V. De Francesco, C. Hassan, S. Morini, and D. Vaira, “The sequential therapy regimen for Helicobacter pylori eradication: a pooled-data analysis,” Gut, vol. 56, no. 10, pp. 1353–1357, 2007.

E. C. Nista, M. Candelli, M. A. Zocco et al., “Levofloxacin-based triple therapy in first-line treatment for Helicobacter pylori eradication,” The American Journal of Gastroenterology, vol. 101, no. 9, pp. 1985–1990, 2006.

T. Tongtawee, C. Dechsukhum, W. Leeanansaksiri et al., “Effect of pretreatment with Lactobacillus delbrueckii and Streptococcus thermophillus on tailored triple therapy for Helicobacter pylori eradication: a prospective randomized controlled clinical trial,” Asian Pacific Journal of Cancer Prevention, vol. 16, no. 12, pp. 4885–4890, 2015.

T. Tongtawee, C. Dechsukhum, W. Leeanansaksiri et al., “Improved Helicobacter pylori eradication rate of tailored triple therapy by adding Lactobacillus delbrueckii and Streptococcus thermophilus in Northeast region of Thailand: a prospective randomized controlled clinical trial,” Gastroenterology Research and Practice, vol. 2015, Article ID 518018, 7 pages, 2015.

G. Cammarota, G. Ianiro, S. Bibbò et al., “Culture-guided treatment approach for Helicobacter pylori infection: review of the literature,” World Journal of Gastroenterology, vol. 20, no. 18, pp. 5205–5211, 2014.

R. Zhu, K. Chen, Y.-Y. Zheng et al., “Meta-analysis of the efficacy of probiotics in Helicobacter pylori eradication therapy,” World Journal of Gastroenterology, vol. 20, no. 47, pp. 18013–18021, 2014.

M. Homan and R. Orel, “Are probiotics useful in Helicobacter pylori eradication?” World Journal of Gastroenterology, vol. 21, no. 37, pp. 10644–10653, 2015.

H. Szajewska and M. Kołodziej, “Systematic review with meta-analysis: Lactobacillus rhamnosus GG in the prevention of antibiotic-associated diarrhoea in children and adults,” Alimentary Pharmacology & Therapeutics, vol. 42, no. 10, pp. 1149–1157, 2015.

G. Losurdo, G. Leandro, M. Principi et al., “Sequential vs. prolonged 14-day triple therapy for Helicobacter pylori eradication: the meta-analysis may be influenced by ‘geographical weighting’,” International Journal of Clinical Practice, vol. 69, no. 10, pp. 1112–1120, 2015.

Y. Haupt, R. Maya, A. Kazaz, and M. Oren, “Mdm2 promotes the rapid degradation of p53,” Nature, vol. 387, no. 6630, pp. 296–299, 1997.

R. Honda, H. Tanaka, and H. Yasuda, “Oncoprotein MDM2 is a ubiquitin ligase E3 for tumor suppressor p53,” FEBS Letters, vol. 420, no. 1, pp. 25–27, 1997.

M. H. G. Kubbutat, S. N. Jones, and K. H. Vousden, “Regulation of p53 stability by Mdm2,” Nature, vol. 387, no. 6630, pp. 299–303, 1997.

M.-T. Moradi, Z. Salehi, K. Aminian, and A. Yazdanbod, “Effects of p53 codon 72 and MDM2 SNP309 polymorphisms on gastric cancer risk among the Iranian population,” Asian Pacific Journal of Cancer Prevention, vol. 15, no. 17, pp. 7413–7417, 2014.

X. Wang, J. Yang, B. Ho et al., “Interaction of Helicobacter pylori with genetic variants in the MDM2 promoter is associated with gastric cancer susceptibility in Chinese patients,” Helicobacter, vol. 14, no. 5, pp. 114–119, 2009.

M. F. Dixon, R. M. Genta, J. H. Yardley, and P. Correa, “Classification and grading of gastritis. The updated Sydney System. International Workshop on the Histopathology of Gastritis, Houston 1994,” The American Journal of Surgical Pathology, vol. 20, no. 10, pp. 1161–1181, 1996.

J. Raymond, V. B. Nguyen, G. Vidal-Trecan, and N. Kalach, “Helicobacter pylori infection in children of developing countries,” Médecine Tropicale, vol. 65, no. 4, pp. 383–388, 2005.

N. Kim, “Epidemiology and transmission route of Helicobacter pylori infection,” Korean Journal of Gastroenterology, vol. 46, no. 3, pp. 153–158, 2005.

Q.-H. Zou and R.-Q. Li, “Helicobacter pylori in the oral cavity and gastric mucosa: a meta-analysis,” Journal of Oral Pathology and Medicine, vol. 40, no. 4, pp. 317–324, 2011.

C. Holcombe, “Helicobacter pylori: the African enigma,” Gut, vol. 33, no. 4, pp. 429–431, 1992.

V. Kate and N. Ananthakrishnan, “Helicobacter pylori and gastric carcinoma: evidence for the link,” National Medical Journal of India, vol. 13, no. 6, p. 329, 2000.

V. Kate, N. Ananthakrishnan, S. Badrinath, and C. Ratnakar, “Prevalence of Helicobacter pylori infection in disorders of the upper gastrointestinal tract in south India,” National Medical Journal of India, vol. 11, no. 1, pp. 5–8, 1998.

A. K. Khanna, P. Seth, G. Nath, V. K. Dixit, and M. Kumar, “Correlation of Helicobacter pylori and gastric carcinoma,” Journal of Postgraduate Medicine, vol. 48, no. 1, pp. 27–28, 2002.

R. Sivaprakash, U. A. Rao, S. P. Thyagarajan, B. Ramathilakam, and V. Jayanthi, “Investigation for the prevalence of Helicobacter pylori infection in patients with gastric carcinoma in Madras, India,” Japanese Journal of Medical Science and Biology, vol. 49, no. 1, pp. 49–56, 1996.

M. Asaka, M. Kato, M. Kudo et al., “Relationship between Helicobacter pylori infection, atrophic gastritis and gastric carcinoma in a Japanese population,” European Journal of Gastroenterology and Hepatology, vol. 7, no. 1, pp. S7–S10, 1995.

L. Cai, S. Z. Yu, and Z. F. Zhang, “Helicobacter pylori infection and risk of gastric cancer in Changle County, Fujian Province, China,” World Journal of Gastroenterology, vol. 6, no. 3, pp. 374–376, 2000.

K. Suwanrungruang, S. Sriamporn, S. Wiangnon et al., “Lifestyle-related risk factors for stomach cancer in northeast Thailand,” Asian Pacific Journal of Cancer Prevention, vol. 9, no. 1, pp. 71–75, 2008.