Oxidative Medicine and Cellular Longevity
Volume 2017 (2017), Article ID 2916985, 15 pages
https://doi.org/10.1155/2017/2916985

Review Article

Mechanisms Underlying the Essential Role of Mitochondrial Membrane Lipids in Yeast Chronological Aging

Younes Medkour, Paméla Dakik, Mélissa McAuley, Karamat Mohammad, Darya Mitrofanova, and Vladimir I. Titorenko

Department of Biology, Concordia University, Montreal, QC, Canada H4B 1R6

Correspondence should be addressed to Vladimir I. Titorenko; vladimir.titorenko@concordia.ca

Received 30 January 2017; Accepted 18 April 2017; Published 16 May 2017

Academic Editor: Vítor Costa

Copyright © 2017 Younes Medkour 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.

The functional state of mitochondria is vital to cellular and organismal aging in eukaryotes across phyla. Studies in the yeast Saccharomyces cerevisiae have provided evidence that age-related changes in some aspects of mitochondrial functionality can create certain molecular signals. These signals can then define the rate of cellular aging by altering unidirectional and bidirectional communications between mitochondria and other organelles. Several aspects of mitochondrial functionality are known to impact the replicative and/or chronological modes of yeast aging. They include mitochondrial electron transport, membrane potential, reactive oxygen species, and protein synthesis and proteostasis, as well as mitochondrial synthesis of iron-sulfur clusters, amino acids, and NADPH. Our recent findings have revealed that the composition of mitochondrial membrane lipids is one of the key aspects of mitochondrial functionality affecting yeast chronological aging. We demonstrated that exogenously added lithocholic bile acid can delay chronological aging in yeast because it elicits specific changes in mitochondrial membrane lipids. These changes allow mitochondria to operate as signaling platforms that delay yeast chronological aging by orchestrating an institution and maintenance of a distinct cellular pattern. In this review, we discuss molecular and cellular mechanisms underlying the essential role of mitochondrial membrane lipids in yeast chronological aging.

1. Introduction

Mitochondria are indispensable for organismal physiology and health in all eukaryotes [1–9]. The efficiencies with which these organelles generate the bulk of cellular ATP and make biosynthetic intermediates for amino acids, nucleotides, and lipids are known to deteriorate with age [1, 3, 5, 9, 10]. Such age-related deterioration of mitochondrial functionality is the universal feature of aging in evolutionarily distant eukaryotic organisms [11].

Studies in Saccharomyces cerevisiae have uncovered several mechanisms underlying the essential role of mitochondria in the replicative and chronological modes of aging in this yeast [12–15]. Yeast replicative aging is assessed by measuring the maximum number of mitotic divisions that a mother cell can undergo before it enters a senescent state [16–18]. The replicative mode of yeast aging is likely to imitate not only aging of mitotically dividing human cells [16, 17, 19–22] but also aging of postmitotic tissues and organismal aging in nematode worms and humans [22–24]. Yeast chronological aging is evaluated by measuring the length of time during which a cell remains viable after becoming quiescent [12, 20, 25–27]. The chronological mode of yeast aging is believed to mimic aging of human cells that are temporarily or permanently unable to divide [20, 25, 26, 28–31]. It needs to be noted, however, that the chronological and replicative modes of yeast aging are likely to converge into a single aging process [12, 31–37].

Mechanisms underlying the essential roles of some traits of mitochondrial functionality in both modes of yeast aging have been recently reviewed [12–15, 20]. These traits in replicatively and chronologically aging yeast include mitochondrial electron transport chain and oxidative phosphorylation, membrane potential, reactive oxygen species (ROS) homeostasis, protein synthesis and proteostasis, iron-sulfur cluster formation, and synthesis of amino acids and NADPH [12–15, 20, 37–46].

Until recently, it was unknown if such trait of mitochondrial functionality as the composition of mitochondrial membrane lipids can influence aging in yeast. Our recent studies have revealed that lithocholic bile acid (LCA) can delay the onset and decrease the rate of yeast chronological aging [12, 13, 47–54]. We demonstrated that the robust geroprotective effect of exogenously added LCA is due to its ability to cause certain changes in lipid compositions of both mitochondrial membranes. These changes in mitochondrial membrane lipids enable mitochondria to establish and maintain an aging-delaying pattern of the entire cell. Here, we review mechanisms through which LCA-induced changes in the composition of mitochondrial membrane lipids trigger a multistep process of converting mitochondria into signaling platforms that orchestrate such distinct cellular pattern.

2. Some Aspects of the Maintenance of Lipid Homeostasis Are Essential for Healthy Aging in Eukaryotes across Phyla

Early studies in the nematode Caenorhabditis elegans, the fruit fly Drosophila melanogaster, and mice have revealed that an attenuation of the proaging insulin/insulin-like growth factor 1 signaling pathway extends organismal lifespan and causes the accumulation of storage lipids [55–61]. These studies have suggested a link between lipid metabolism and healthy aging. Recent findings provide strong evidence that certain pathways of lipid metabolism and transport define lifespan and healthspan in evolutionarily distant eukaryotes, including the yeast S. cerevisiae, the nematode C. elegans, the fruit fly D. melanogaster, mammals, and possibly humans.

2.1. The Yeast S. cerevisiae

In S. cerevisiae cells, the metabolic pathway for ceramide and sphingolipid synthesis is an essential node of a complex signaling network known to define replicative and chronological lifespans [14, 62–66]. Other nodes of this network include such nutrient-sensing signaling pathways and protein kinases at the proaging TORC1 and TORC2 (target of rapamycin complexes 1 and 2, resp.) pathways, the antiaging mitochondrial retrograde signaling pathway, the proaging PKA (protein kinase A) pathway, the proaging protein kinases Pkh1 and Pkh2, and the proaging protein kinases Sch9 and Ypk2 [14, 62–66]. The unidirectional and bidirectional flow of information between the ceramide/sphingolipid synthesis node and other nodes of the network defines the rate of yeast replicative and chronological aging because the network orchestrates numerous longevity-defining cellular processes [14, 62–66]. Among these downstream cellular processes are general autophagy and mitophagy, stress response, genomic stability maintenance, ribosomal protein and RNA synthesis, amino acid synthesis, carbon and energy metabolism, and mitochondrial respiration [14, 62–66].

Another aspect of lipid metabolism and transport known to define longevity of chronologically aging yeast is the abundance of triacylglycerols (TAGs) [67–70]. These so-called neutral lipids are synthesized in the endoplasmic reticulum (ER) and then deposited in lipid droplets (LDs) [71–73]. The age-related accumulation of TAGs in LDs is a longevity assurance process that extends yeast chronological lifespan independently of the network that integrates ceramide/sphingolipid synthesis with nutrient-sensing signaling pathways and protein kinases [69, 70]. TAGs may delay yeast chronological aging because their accumulation in LDs allows to deposit a bulk of unsaturated fatty acids by esterifying them into TAGs [69, 70]. Because unsaturated fatty acids exhibit high susceptibility to age-related oxidative damage, their deposition in the form of TAGs may make LDs the major target of such damage; this would alleviate oxidative damage to macromolecules in other cellular locations [69, 70]. In addition, the esterification of unsaturated fatty acids into TAGs may delay yeast chronological aging by attenuating an age-related form of liponecrotic cell death known to be elicited by these fatty acids [67, 68, 74–76].

2.2. The Nematode C. elegans

The extent of longevity extension by various genetic interventions in C. elegans has been shown to correlate with the following coordinated changes in the concentrations/activities of enzymes involved in fatty acid elongation and desaturation: (1) decreased concentrations/activities of elongases involved in the synthesis of very long-chain fatty acids, which are known to lower membrane fluidity; (2) increased concentrations/activities of Δ9 desaturases involved in the formation of oxidation-resistant monounsaturated fatty acids (MUFAs); and (3) lowered concentration/activity of a Δ5 desaturase involved in the formation of oxidation-sensitive polyunsaturated fatty acids (PUFAs) [77–82]. The resulting decline in fatty-acid chain length, increase in MUFA concentrations, and decrease in PUFA concentrations are believed to constitute a “signature” of extended longevity and delayed aging in this nematode [77, 79, 81, 82]. This is likely because the establishment and maintenance of such prolongevity pattern of fatty acid composition allow to delay aging by enabling to sustain membrane fluidity and increase oxidative stress resistance [77, 80, 81].

Furthermore, an activation of the lipolysis of TAGs delays nematode aging because it increases the concentration of arachidonic acid, a polyunsaturated omega-6 fatty acid known to stimulate the prolongevity process of autophagy [81–86]. Nematode aging can also be decelerated by the accumulation of TAGs, either in a certain tissue and at a distinct stage of development or in response to some diets. Such aging-delaying accumulation of TAGs has been reported under the following conditions: (1) upon entry into dauer, due to an LKB1/AMPK- (liver kinase B1/AMP-activated protein kinase-) driven inhibition of TAG lipolysis in the adipose-like hypodermis tissue [87]; and (2) in response to nutrient-rich food, due to a mutation in the Rictor protein component of TORC2 [88].

In addition, some lipid classes have been shown to delay aging in C. elegans because they act as signaling molecules that can establish and maintain a prolongevity transcription pattern; these lipid classes include the bile acid-like steroids called dafachronic acids of germ-line ablated nematode mutants as well as the N-acylethanolamine fatty acid derivative called oleoylethanolamide [80, 89–95].

Moreover, an attenuation of mitochondrial proteostasis in C. elegans is known to activate the mitochondrial unfolded protein response (UPRmt) [96, 97]. UPRmt has been shown to delay nematode aging in part because it elicits a global remodeling of lipid metabolism, which includes the accumulation of cardiolipins and fatty acids [98]. This global remodeling of lipid metabolism allows to turn on a so-called mitochondrial-to-cytosolic stress response, thereby enabling to maintain the prolongevity process of cytosolic protein homeostasis [98].

2.3. The Fruit Fly D. melanogaster

The accumulation of TAGs in fruit fly mutants deficient in LD-associated TAG lipase Brummer has been shown to delay fruit fly aging only under starvation conditions [99]. Furthermore, the macrocyclic lactone rapamycin is known to delay aging and increase the concentration of TAGs in fruit flies [100]; it remains to be seen, however, if such rapamycin-driven rise in TAG concentration in fruit flies has a causal role in the aging-delaying effect of this macrocyclic lactone.

2.4. Mammals and Humans

Aging of laboratory mice can be delayed in response to a decrease in the concentration of TAGs in white adipose tissue (WAT), which can be achieved either by genetically eliminating the WAT-specific insulin receptor [101] or by replacing the C/EBPα (CCAAT/enhancer-binding protein α) protein with its paralogue C/EBPβ [102].

Moreover, the sirtuin SIRT1 has been shown to repress transcription of nuclear genes needed for the synthesis of TAGs in WAT of laboratory mice [103]. It has been proposed that the resulting decrease in TAG concentration in WAT is in part responsible for the delay of aging by caloric restriction, a robust longevity-extending dietary intervention known to increase the abundance of SIRT1 and also to activate the lipolytic degradation of TAGs in mice WAT [104].

The mass spectrometry-based identification and quantitation of numerous lipid classes have been recently used for comparative profiling of the plasma lipidomes and lipidomes of different tissues in long-lived and short-lived mammalian species, in ad libitum-fed mice and in mice placed on a CR diet, as well as in healthy human individuals with exceptional longevity and in their children. Such correlative profiling has revealed the following trends of a so-called “lipidomic signature” of extended longevity and delayed aging in mammals and humans: (1) a decreased extent of fatty acid unsaturation, which lowers both the double bond and peroxidizability indexes of different lipid classes; (2) declined concentrations of long-chain free fatty acids; (3) increased MUFA-to-PUFA ratio; (4) decreased levels of several sphingolipids, certain lysophosphatidylcholines and phosphatidylcholines, as well as highly polyunsaturated TAGs and diacylglycerols (DAGs); and (5) increased concentrations of some sphingomyelins and cholesteryl esters, as well as TAGs and DAGs with low extent of fatty acid unsaturation [81, 105–111]. Although the establishment of the key trends of this lipidomic signature is an essential first step towards defining lipid biomarkers of healthy aging and extended lifespan, it remains to be seen if any of the above trends has a causal mechanistic role in aging delay and longevity extension.

3. A Chemical Genetic Screen for Molecules That Delay Yeast Chronological Aging by Targeting Lipid Metabolism

Caloric restriction and dietary restriction (CR and DR, resp.) are two dietary interventions that slow aging and extend healthy lifespan in eukaryotes across phyla [112–117]. Aging and the onset of age-related disorders can also be delayed by some chemical compounds of plant and microbial origin. Among these geroprotective compounds are resveratrol, rapamycin, curcumin, fisetin, quercetin, caffeine, and spermidine [112, 114, 118–124]. All these geroprotectors delay aging and age-related disorders only under non-CR or non-DR conditions, that is, when the intake of calories or nutrients is not restricted [47, 112, 114, 120, 122, 125–129]. Moreover, all these geroprotective compounds of plant and microbial origin have been shown to modulate a signaling network integrating pathways and protein kinases that are under the stringent control of calorie or nutrient availability [47, 112, 114, 117, 120, 122, 128]. The term “adaptable” was therefore coined for these networks, pathways, and protein kinases [47]. We sought to find chemical geroprotectors that delay aging and age-related disorders under CR conditions by modulating a different kind of pathways, the ones that define longevity irrespective of calorie and nutrient supply. We call these longevity pathways “constitutive” or “housekeeping” [47]. Moreover, because of our interest in mechanisms through which lipids influence yeast chronological aging, we were looking for geroprotective small molecules that modulate “constitutive” or “housekeeping” longevity pathways by targeting lipid metabolism and transport [47]. We therefore conducted a high-throughput chemical genetic screen for small molecules that can extend the chronological lifespan of the single-gene-deletion mutant strain pex5Δ. The pex5Δ strain is impaired in peroxisomal oxidation of fatty acids and, hence, is unable to generate peroxisomal acetyl-CoA for ATP synthesis in mitochondria [47]. Our screen of numerous chemical compounds from several commercial libraries has identified 24 geroprotective small molecules that can slow chronological aging by remodeling lipid metabolism not only in pex5Δ but also in wild-type yeast cells [47]. One of these molecules, a bile acid called LCA, exhibited the highest delaying effect on the chronological aging of yeast cultured under CR conditions [47]. We showed that several other bile acids (including deoxycholic acid, chenodeoxycholic acid, dehydrocholic acid, and hyodeoxycholic acid) delay yeast chronological aging to a significantly lesser degree than LCA, which is the most hydrophobic bile acid [47].

4. The Distribution of Exogenously Added LCA within a Yeast Cell

Unlike animals and humans, yeast cells do not synthesize bile acids [130–133]. Thus, a mechanism through which exogenously added LCA delays yeast chronological aging may or may not involve its entry into the yeast cell and, perhaps, a delivery of this highly hydrophobic bile acid to some specific location(s) within the cell. To investigate this important aspect of aging delay by LCA, we assessed the spatial distribution of exogenously added LCA in the yeast cell using a combination of subcellular fractionation by differential centrifugation, equilibrium density gradient centrifugation, and quantitative mass spectrometry [50]. We found that exogenously added LCA crosses both the cell wall and the plasma membrane to enter the yeast cell [50]. Our studies also revealed that intracellular LCA is sorted exclusively to mitochondria [50]. To investigate the spatial distribution of LCA within the mitochondrion, we subjected purified mitochondria to fractionation using a swell-shrink procedure and subsequent equilibrium density gradient centrifugation; we also fractionated purified mitochondria with the help of sonication followed by differential centrifugation [50]. Our quantitative mass spectrometric analysis of LCA recovered in different mitochondrial subcompartments showed that the majority (up to 80%) of the mitochondria-confined pool of LCA associates with the inner mitochondrial membrane (IMM), whereas a minor portion (not more than 20%) of this bile acid resides in the outer mitochondrial membrane (OMM) [50].

5. LCA in Mitochondria Alters the Abundance and Relative Concentrations of Membrane Phospholipids

The relative concentrations of different membrane phospholipids in yeast mitochondria depend on a spatiotemporal dynamics of several processes that are facilitated by proteins residing in both mitochondria and the ER. These processes include the following: (1) the synthesis of phosphatidic acid (PA), cytidine diphosphate-diacylglycerol (CDP-DAG), diacylglycerol (DAG), phosphatidylserine (PS), phosphatidylcholine (PC), and phosphatidylinositol (PI) in the ER; (2) the conversion of ER-derived PA into CDP-DAG, phosphatidylglycerol-phosphate (PGP), phosphatidylglycerol (PG), cardiolipin (CL), and monolysocardiolipin (MLCL) in the IMM; (3) the transfer of PA from the ER to the OMM via mitochondria-ER contact sites, which are located at zones of close apposition between the OMM and the mitochondria-associated membrane (MAM) domain of the ER; (4) the movement of PA from the OMM via the intermembrane space (IMS) to the IMM, which is facilitated by the Ups1/Mdm35 protein complex; (5) the Ups2/Mdm35-dependent transfer of PS from the OMM across the IMS to the IMM, where PS serves as a substrate for PE synthesis catalyzed by Psd1; (6) the Psd1-dependent conversion of PS into PE in the OMM, which requires a juxtaposition of the two mitochondrial membranes and is facilitated by the mitochondrial contact site (MICOS) protein complex; (7) the movement of PC and PI from the ER to the OMM through mitochondria-ER contact sites, which is followed by PC and PI transfer from the OMM to the IMM via currently unknown mechanisms; (8) the transfer of DAG and CDP-DAG from the ER to the OMM through mitochondria-ER contact sites and the subsequent movement of these two phospholipids to the IMM by mechanisms that remain to be established; and (9) the CL-dependent inhibition of the Ups1/Mdm35-dependent transfer of PA from the OMM across the IMS to the IMM (Figure 1) [50, 134–137].

Figure 1: Processes that define the relative concentrations of different phospholipid classes in both membranes of yeast mitochondria. These processes are facilitated by proteins that reside in the IMM, IMS, OMM, and ER. Only proteins facilitating these processes in the IMM, IMS, and OMM are shown. A T bar denotes a CL-dependent inhibition of PA transfer from the OMM to the IMM. See text for more details. CDP-DAG: cytidine diphosphate-diacylglycerol; CL: cardiolipin; DAG: diacylglycerol; ER: endoplasmic reticulum; IMM: inner mitochondrial membrane; IMS: intermembrane space; MAM: mitochondria-associated membrane domain of the ER; MICOS: mitochondrial contact site protein complex; MLCL: monolysocardiolipin; OMM: outer mitochondrial membrane; PA: phosphatidic acid; PC: phosphatidylcholine; PG: phosphatidylglycerol; PGP: phosphatidylglycerol-phosphate; PI: phosphatidylinositol; PS: phosphatidylserine.

Because LCA associates with the IMM and also resides in the OMM, we thought that this bile acid may modulate the spatiotemporal dynamics of phospholipid synthesis and transfer in yeast mitochondria and/or phospholipid movement from the ER to mitochondria [50]. We hypothesized that such LCA-driven modulation of phospholipid synthesis and transfer may, in turn, alter the abundance and/or relative concentrations of some classes of phospholipids in mitochondrial membranes [50]. To verify our hypothesis, we used quantitative mass spectrometry to compare mitochondrial lipidomes of yeast cultured under CR conditions with or without LCA. We found that LCA causes the following major changes in the abundance and composition of mitochondrial membrane phospholipids: (1) it elicits an age-related increase in the phospholipid/protein ratio of mitochondrial membranes and, thus, substantially elevates the abundance of membrane phospholipids in mitochondria; (2) it increases the relative concentrations of PA, PG, PS, and PC in mitochondrial membranes; and (3) it decreases the relative concentrations of CL, MLCL, and PE in mitochondrial membranes (Figure 2) [50].

Figure 2: LCA exhibits differential effects on the relative concentrations of various phospholipid classes in mitochondrial membranes of yeast exposed to this bile acid. Arrows next to the names of individual phospholipids indicate phospholipid classes whose concentrations are increased (red arrows) or decreased (blue arrows) in cells cultured with exogenous LCA and therefore accumulating this bile acid in the IMM and OMM. See text for more details. Abbreviations are as provided in the legend for Figure 1.

Based on these data (which included data on the number of saturated and unsaturated acyl chains for each class of phospholipids), we calculated the relative concentrations of phospholipid classes exhibiting the nonbilayer forming shape of a cone or an inverted cone. We found that LCA decreases the relative concentrations of the nonbilayer forming classes of phospholipids, which include the following: (1) PC, PI, PS, and PG phospholipids carrying only saturated acyl chains; (2) PE phospholipids with one or two unsaturated acyl chains; and (3) PA, CL, and MLCL phospholipids carrying either only saturated acyl chains or from one to four unsaturated acyl chains [50]. These nonbilayer forming phospholipid classes are known to increase the extent of membrane curving for the IMM, thus raising the abundance of mitochondrial cristae (formed by the IMM) and mitochondrial contact cites (formed between the IMM and OMM) [50, 137–144].

We also calculated the relative concentrations of phospholipid classes having the bilayer forming shape of a cylinder. We found that LCA increases the relative concentrations of these bilayer forming phospholipid classes, which include PE phospholipids with only saturated acyl chains, as well as PC, PI, PS, and PG phospholipids with one or two unsaturated acyl chains [50]. These bilayer forming phospholipid classes are known to decrease the extent of membrane curving for the IMM, thereby (1) increasing the abundance of the IMM domains having “flat” bilayer conformation; (2) decreasing the abundance of the IMM domains exhibiting negative curvature typical of mitochondrial contact sites; and (3) decreasing the abundance of the IMM domains displaying positive curvature characteristic of mitochondrial cristae [50, 137–144].

6. LCA Causes Major Changes in Mitochondrial Abundance and Morphology

Because LCA markedly increases the abundance of mitochondrial membrane phospholipids (i.e., the ratio of phospholipid/protein in mitochondrial membranes; see above), we expected that this bile acid may elicit an expansion of both mitochondrial membranes to cause an enlargement of mitochondria. Our transmission electron microscopy (TEM) analysis has confirmed this expectation by revealing a significantly increased mitochondrial size in yeast cultured with LCA (Figure 3) [50, 51].

Figure 3: LCA increases mitochondrial size, reduces mitochondrial number, and elevates the abundance of mitochondrial cristae. Many mitochondrial cristae accumulate in the mitochondrial matrix because they are detached from the IMM. See text for more details. Abbreviations are as provided in the legend for Figure 1.

Because LCA increases the relative concentrations of PA, which is known for the ability to decrease mitochondrial number by promoting fusion of small mitochondria [145–150], we anticipated that this bile acid may decrease the number of mitochondria. As anticipated, TEM revealed a substantial decrease in mitochondrial number in yeast cultured with LCA (Figure 3) [50, 51].

LCA lessens the relative concentrations of the nonbilayer forming classes of phospholipids known to increase the extent of membrane curving for the IMM (see above); LCA also rises the relative concentrations of the bilayer forming classes of phospholipids shown to decrease the extent of membrane curving for the IMM (as described above). We therefore expected that LCA may increase the proportion of mitochondrial cristae detached from the IMM and having flat bilayer conformation and may also increase the abundance of these detached from the IMM cristae within the mitochondrial matrix. In support of these expectations, yeast cultured in the presence of LCA exhibited the following major morphological changes in the IMM and mitochondrial cristae: (1) many cristae were disconnected from the IMM and accumulated within the mitochondrial matrix in flat bilayer conformation and (2) the ratio of “total length of cristae/total length of the OMM” was significantly increased (Figure 3) [50, 51].

7. LCA Alters Mitochondrial Proteome

As described above, LCA causes major changes in the membrane lipidome, abundance, and morphology of mitochondria. We thought that these LCA-driven changes may affect mitochondrial protein import, folding, assembly, and other aspects of mitochondrial proteostasis, thereby altering mitochondrial proteome. In support of this notion, our quantitative mass spectrometric analysis revealed that LCA alters the age-related chronology of changes in the concentrations of many mitochondrial proteins known for their essential roles in some key mitochondrial functions [53, 54]. Among these mitochondrial functions are the tricarboxylic acid (TCA) cycle, glyoxylate cycle, electron transport chain (ETC), amino acid synthesis, heme synthesis and attachment, iron-sulfur cluster synthesis and assembly, NADPH synthesis, ROS detoxification, protein import and folding, stress response and protection, mitochondrial division, mitochondrial DNA replication and maintenance, and synthesis and translation of mitochondrial RNA [53]. Our bioinformatic analyses of how LCA alters the age-related chronology of changes in the concentrations of these various mitochondrial proteins demonstrated that they belong to two regulons called a partial mitochondrial dysfunction (PMD) regulon and an oxidative stress (OS) regulon, each regulated in response to a different aspect of limited mitochondrial function (Table 1) [53, 54]. Mitochondrial proteins that belong to PMD and OS regulons exhibit three different patterns of how their concentrations change with the chronological age of yeast cultured with LCA. We call these patterns “regulon type 1,” “regulon type 2,” and “regulon type 3”; each of the three patterns represents a distinct way of increasing or decreasing concentrations of certain mitochondrial proteins in yeast cells that progress through diauxic (D), postdiauxic (PD), and stationary (ST) growth phases (Table 1) [53, 54]. These three patterns are displayed in Table 1 and discussed elsewhere [53]. We found that the PMD and OS regulons can be divided into six or four clusters, respectively, each modulated by a different kind of partial mitochondrial dysfunctionality that triggers a distinct cellular response mediated by a discrete set of transcription factors; these transcription factors include Rtg1/Rtg2/Rtg3, Sfp1, Aft1, Yap1, Msn2/Msn4, Skn7, and Hog1 (Table 1) [53, 54]. As discussed by Beach [53], the PMD regulons include the following clusters: (1) rho⁰ (a cluster of genes whose transcription is induced in response to complete loss of mitochondrial DNA); (2) S1 (a cluster of genes whose transcription is activated in response to inhibition of mitochondrial translation); (3) general TCA cycle dysfunction; (4) kgd1Δ, kgd2Δ, or lpd1Δ (a mutation eliminating the subunit Kgd1, Kgd2, or Lpd1 of the mitochondrial alpha-ketoglutarate dehydrogenase complex); (5) yme1Δ mdl1Δ (mutations that simultaneously eliminate the mitochondrial i-AAA (ATPases associated with diverse cellular activities) protease Yme1 and the mitochondrial ABC (ATP-binding cassette) transporter Mdl1, both involved in peptide export from mitochondria); and (6) afo1Δ (a mutation eliminating the mitochondrial ribosomal protein Afo1 of the large subunit) (Table 1). The OS regulons include clusters governed by transcription factors Yap1, Msn2/Msn4, Skn7, and Hog1 (Table 1) (as discussed elsewhere [53]). It needs to be emphasized that each of the transcription factors orchestrating various PMD and OS regulons in yeast cultured with LCA plays an essential role in the LCA-driven delay of yeast chronological aging [53, 54].

Table 1: In yeast cells that progress through diauxic (D), postdiauxic (PD), and stationary (ST) growth phases, LCA elicits three different patterns of changes in concentrations of various mitochondrial proteins. These patterns are called “regulon type 1,” “regulon type 2,” and “regulon type 3.” Every type of these regulons includes a partial mitochondrial dysfunction (PMD) regulon and an oxidative stress (OS) regulon, each regulated in response to a different aspect of limited mitochondrial function. The PMD and OS regulons are divided into six or four clusters, respectively, each modulated by a different kind of partial mitochondrial dysfunctionality that triggers a distinct cellular response mediated by a distinct set of transcription factors. These transcription factors include Rtg1/Rtg2/Rtg3, Sfp1, Aft1, Yap1, Msn2/Msn4, Skn7, and Hog1. See text for more details. afo1Δ: a mutation eliminating the mitochondrial ribosomal protein Afo1 of the large subunit; ETC: electron transport chain; kgd1Δ: a mutation eliminating the subunit Kgd1 of the mitochondrial alpha-ketoglutarate dehydrogenase complex; kgd2Δ: a mutation eliminating the subunit Kgd2 of the mitochondrial alpha-ketoglutarate dehydrogenase complex; lpd1Δ: a mutation eliminating the lipoamide dehydrogenase component Lpd1 of the pyruvate dehydrogenase and alpha-ketoglutarate dehydrogenase complexes; mdl1Δ: a mutation eliminating the mitochondrial ABC transporter Mdl1; rho⁰: a cluster of genes whose transcription is induced in response to complete loss of mitochondrial DNA; ROS: reactive oxygen species; S1: a cluster of genes whose transcription is activated in response to inhibition of mitochondrial translation; TCA: tricarboxylic acid cycle; yme1Δ: a mutation eliminating the catalytic subunit Yme1 of the mitochondrial i-AAA protease complex.

Pattern of age-related concentration change
Regulon
Cluster
Transcription factor(s)
Mitochondrial functions affected

Partial mitochondrial dysfunction (PMD) regulon 1
rho⁰
Rtg 1/Rtg2/Rtg3, Sfp1, Aft1
TCA cycle, glyoxylate cycle, ETC, amino acid synthesis, heme synthesis and attachment, protein synthesis, protein import, protein folding and proteostasis, glycerol degradation, acetaldehyde metabolism

S1
Rtg 1/Rtg2/Rtg3, Sfp1, Aft1

General TCA cycle dysfunction
Rtg 1/Rtg2/Rtg3, Sfp1, Aft1

kgdlΔ, kgd2Δ or lpd1Δ
Rtg 1/Rtg2/Rtg3, Sfp1, Aft1

ymelΔ mdllΔ
?

afolΔ
Sfp1

Oxidative stress (OS) regulon 1
Yap1 governed
Yap1
TCA cycle, glyoxylate cycle, ETC, amino acid synthesis, protein synthesis, protein import, protein folding and proteostasis, mtDNA replication and maintenance

Msn2/Msn4 governed
Msn2/Msn4

Skn7 governed
Skn7

Hog1 governed
Hog1

PMD regulon 2
rho⁰
Rtg 1/Rtg2/Rtg3, Sfp1, Aft1
Protein import, protein folding, and proteostasis

S1
Rtg 1/Rtg2/Rtg3, Sfp1, Aft1

General TCA cycle dysfunction
Rtg 1/Rtg2/Rtg3, Sfp1, Aft1

kgdlΔ, kgd2Δ or IpdlΔ
Rtg 1/Rtg2/Rtg3, Sfp1, Aft1

yme1Δ mdl1Δ
?

afolΔ
Sfp1

OS regulon 2
Yap1 governed
Yap1
Protein import, protein folding and proteostasis, ROS detoxification, stress response and protection, iron-sulfur clusters synthesis and assembly

Msn2/Msn4 governed
Msn2/Msn4

Skn7 governed
Skn7

Hog1 governed
Hog1

PMD regulon 3
rho0
Rtg1/Rtg2/Rtg3, Sfp1, Aft1
Mitochondrial division

S1
Rtg1/Rtg2/Rtg3, Sfp1, Aft1

General TCA cycle dysfunction
Rtg1/Rtg2/Rtg3, Sfp1, Aft1

kgd1Δ, kgd2Δ or lpd1Δ
Rtg1/Rtg2/Rtg3, Sfp1, Aft1

lpd1Δ yme1Δ mdl1Δ
?

afo1Δ
Sfp1

OS regulon 3
Yap1 governed
Yap1
Mitochondrial division

Msn2/Msn4 governed
Msn2/Msn4

Skn7 governed
Skn7

Hog1 governed
Hog1

8. LCA Modifies Key Aspects of Mitochondrial Functionality

Because LCA alters mitochondrial lipidome and proteome and also elicits major changes in mitochondrial abundance and morphology, we thought that this bile acid may affect mitochondrial functionality. In support of this notion, we found that LCA markedly modifies the age-related chronology of four mitochondrial processes known to define the rate of aging in eukaryotes across phyla [50, 51]. These processes include mitochondrial respiration, membrane potential maintenance, ROS homeostasis preservation, and ATP synthesis [50, 51]. We demonstrated that in chronologically “young,” nonquiescent yeast, LCA allows to sustain the capacities of mitochondrial respiration, membrane potential maintenance, and ROS homeostasis preservation at a critical threshold [12, 50, 51]. At such threshold chronologically “young” cells exposed to LCA develop an antiaging cellular pattern that increases yeast chronological lifespan. This is because the capacities of mitochondrial respiration, membrane potential maintenance, and ROS homeostasis in chronologically “young” cells have specific impacts on many longevity-defining cellular processes and features, including (1) the concentrations of trehalose and glycogen;( 2) the concentrations of neutral lipids and the abundance of LDs; (3) peroxisomal fatty acid oxidation; (4) the concentrations of free fatty acids and DAGs; (5) glycolysis and gluconeogenesis; (6) ethanol metabolism; (7) mitochondrial translation; (8) mitochondrial size and number; (9) mitochondrial network formation and fragmentation; and (10) oxidative stress resistance (as discussed elsewhere [12]). We also demonstrated that in chronologically “old,” quiescent yeast, LCA (1) allows to maintain cellular ROS at a sublethal, “hormetic” concentration (known to delay aging by activating a signaling network that makes yeast resistant to various stresses [5, 12, 13, 68, 151–159]) and (2) increases the efficiencies of mitochondrial respiration, membrane potential maintenance, and ATP synthesis [50, 51].

9. LCA Elicits Age-Related Changes in the Concentrations of Many Proteins Located outside of Mitochondria

The Rtg1/Rtg2/Rtg3, Sfp1, Aft1, Yap1, Msn2/Msn4, Skn7, and Hog1 proteins and protein complexes regulate transcription of nuclear genes that encode not only mitochondrial proteins (see above) but also numerous proteins in different cellular locations outside of mitochondria [160]. Therefore, we expected that LCA may cause major changes not only to mitochondrial proteome but also to the entire cellular proteome. As expected, our quantitative mass spectrometric analysis revealed that LCA alters the age-related chronology of changes in the concentrations of various proteins located outside of mitochondria [53, 54]. These proteins play essential roles in the glycolytic and pentose phosphate pathways, gluconeogenesis, glycogen degradation, ethanol formation, pyruvate conversion to acetyl-CoA, carnitine and glycerol-3-phosphate shuttling for maintaining NAD/NADH redox balance, neutral lipid synthesis and lipolysis, amino acid and nucleotide synthesis, glutathione synthesis, ROS decomposition, ribosome assembly, oxidative stress response, and proteasomal and vacuolar protein degradation (Figure 4) [53, 54]. Akin to mitochondrial proteins whose age-related expression pattern is driven by LCA and orchestrated by the above transcription factors, these nonmitochondrial proteins (1) belong to the multiclustered PMD and OS regulons; (2) exhibit three different patterns of increasing or decreasing concentrations of certain proteins in yeast progressing through D, PD, and ST growth phases; (3) are modulated in response to different kinds of partial mitochondrial dysfunctionality; and (4) are expressed under the control of a discrete set of transcription factors, including Rtg1/Rtg2/Rtg3, Sfp1, Aft1, Yap1, Msn2/Msn4, Skn7, and Hog1 [53, 54].

Figure 4: A model for how LCA-driven changes in different aspects of mitochondrial functionality modulate activities of a discrete set of transcription factors that are integrated into the partial mitochondrial dysfunction (PMD) and oxidative stress (OS) signaling pathways. These factors then orchestrate an establishment of an antiaging transcriptional program for numerous nuclear genes. These genes encode various cellular proteins that play essential roles in regulating longevity of chronologically aging yeast. See text for more details. ΔΨ: the mitochondrial membrane potential. Other abbreviations are provided in the legend for Table 1.

Based on these observations, we proposed a hypothetical model for how LCA-driven changes in different kinds of mitochondrial functionality modulate activities of the above transcription factors, all of which are integrated into the PMD and OS signaling pathways. This model is schematically depicted in Figure 4 and thoroughly discussed elsewhere [53]. In brief, we found that LCA elicits the following changes in mitochondrial functionality: (1) in chronologically “old” yeast, it increases cellular ROS and allows to maintain ROS at a sublethal, “hormetic” concentration; (2) in chronologically “old” yeast, it decreases the concentrations of several protein components of the large and small subunits of mitochondrial ribosome; (3) in chronologically “young” yeast, it lowers the mitochondrial membrane potential (ΔΨ) and allows to sustain ΔΨ at a critical threshold; (4) in chronologically “old” yeast, it increases the concentrations of mitochondrial proteins involved in the synthesis and assembly of iron-sulfur clusters, inorganic cofactors of many mitochondrial, nuclear, and cytosolic proteins playing essential roles in vital cellular processes; and (5) in chronologically “young” and “old” yeast, it increases the concentrations of mitochondrial and nonmitochondrial proteins known to be upregulated in response to a simultaneous lack of the mitochondrial i-AAA protease Yme1 and the mitochondrial ABC-transporter Mdl1 involved in peptide export from mitochondria (Figure 4) [53, 54]. These LCA-elicited changes in mitochondrial functionality alter activities of transcription factors Rtg1/Rtg2/Rtg3, Sfp1, Aft1, Yap1, Msn2/Msn4, Skn7, and Hog1 (Figure 4) [53, 54]. These transcription factors then trigger an antiaging transcriptional program for numerous nuclear genes, which encode cellular proteins implicated in oxidative stress response, proteostasis, lipid metabolism, and other longevity assurance processes taking place in chronologically aging yeast (Figure 4) [53, 54].

10. Conclusions

Our findings provide evidence that LCA delays yeast chronological aging by eliciting a remodeling of mitochondrial lipidome to cause specific changes in the relative concentrations of different classes of membrane lipids (Figure 5). This LCA-driven remodeling of mitochondrial lipidome triggers major changes in mitochondrial abundance and morphology and also alters mitochondrial proteome (Figure 5). These changes in the abundance, morphology, and protein composition of mitochondria lead to specific alterations in mitochondrial functionality (Figure 5). Our recent unpublished data indicate that the LCA-dependent alterations in mitochondrial lipidome, proteome, and morphology can also elicit changes in lipidomes of other organelles and in concentrations of a specific set of water-soluble metabolites (Arlia-Ciommo et al., in preparation) (Figure 5). By sensing different aspects of mitochondrial functional state, a discrete set of ten transcription factors orchestrates a distinct transcriptional program for many nuclear genes (Figure 5). The denouement of this cascade of consecutive events is the establishment of a cellular pattern that delays the onset and slows the progression of yeast chronological aging.

Figure 5: LCA causes specific changes in the relative concentrations of different classes of membrane lipids in mitochondria of chronologically aging yeast. Such LCA-dependent remodeling of mitochondrial lipidome triggers a cascade of consecutive events that establish an aging-delaying cellular pattern. See text for more details.

Of note, the proposed mechanism here for how the LCA-dependent remodeling of mitochondrial lipidome in the yeast S. cerevisiae allows to establish an aging-delaying cellular pattern is reminiscent of the mechanism in which the UPRmt-driven remodeling of mitochondrial lipidome in the nematode C. elegans triggers a cascade of events that institute an aging-delaying cellular pattern [98]. Moreover, the essential role of mitochondrial lipid metabolism in defining the pace of yeast chronological aging further supports the notion that the vital role of lipid homeostasis in healthy aging has been conserved in eukaryotes across phyla, including the yeast S. cerevisiae [14, 62–70], the nematode C. elegans [77–95, 98], the fruit fly D. melanogaster [99, 100], mammals [81, 101–109], and possibly humans [81, 105, 106, 110, 111].

Conflicts of Interest

The authors declare no conflicts of interests.

Acknowledgments

The authors are grateful to the other members of the Titorenko Laboratory for the discussions.

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