Despite limited regenerative capacity as we age, cardiomyocytes maintain their function in part through compensatory mechanisms, e.g., Vinculin reinforcement of intercalated discs in aged organisms. This mechanism, which is conserved from flies to non-human primates, creates a more crystalline sarcomere lattice that extends lifespan, but systemic connections between the cardiac sarcomere structure and lifespan extension are not apparent. Using the rapidly aging fly system, we found that cardiac-specific Vinculin-overexpression [Vinculin heart-enhanced (VincHE)] increases heart contractility, maximal cardiac mitochondrial respiration, and organismal fitness with age. Systemic metabolism also dramatically changed with age and VincHE; steady state sugar concentrations, as well as aerobic glucose metabolism, increase in VincHE and suggest enhanced energy substrate utilization with increased cardiac performance. When cardiac stress was induced with the complex I inhibitor rotenone, VincHE hearts sustain contractions unlike controls. This work establishes a new link between the cardiac cytoskeleton and systemic glucose utilization and protects mitochondrial function from external stress.

Aging is a complex process associated with the progressive decline of physiological function and is a significant risk factor for cardiovascular disease (CVD); as human lifespan increases, CVD risk also increases.1 With age, the heart remodels extensively, altering extracellular matrix and intracellular structures that decrease elasticity and contractile compliance.2–4 Remodeling creates a feedback loop that further increases systolic pressure and afterload.5,6 Remodeling also results in left ventricular wall thickening and impaired myocardial performance.7,8 Counterbalancing these negative processes are compensatory mechanisms that reinforce sarcomeres and the sarcolemma to help manage age-associated increases in heart wall strain.

We have identified one such compensatory mechanism where Vinculin-mediated cytoskeletal reinforcement at the intercalated disc (ID) and costamere improves force production and myofibril geometry.9 Vinculin is a critical ID linker protein involved in both sensing and translating sarcomeric contraction into cell shortening. In aged patients with heart failure, Vinculin undergoes extensive remodeling10,11 that is reversed when the heart is unloaded.12,13 Using a multi-model approach, we identified that cardiac Vinculin upregulation with age is a conserved mechanism across non-human primate, rat, and fly models independent of cardiovascular disease. Further interrogation in Drosophila melanogaster—the fruit flyusing cardiac specific overexpression of Vinculin [Vinculin heart-enhanced (VincHE)] revealed increased Vinculin recruitment to both the ID and costamere, which improved cardiac contractility via longitudinal increases in force production, lateral increases in myofibrillar anchoring, and improved sarcomere lattice geometry. Under significant load, Vinculin overexpression preserved contractility,9 suggesting that Vinculin upregulation is a conserved mechanism to counterbalance age-associated stress and extend organismal lifespan. Despite these observations, mechanisms connecting improved sarcomere crystallinity and longevity are unclear. Both Drosophila and Caenorhabditis elegans models have been used in recent years to screen for lifespan-altering genes.14,15 However, these early screens focus on organismal differences rather than tissue specific changes that could regulate systemic effects. Changes to integral organs such as the heart, implicated in the delivery of exogenous factors, nutrients, and O2, have yet to clearly describe the mechanisms that support such correlations.

Of the systemic changes that could be influenced by cardiac output, metabolism is one function that directly impacts lifespan. Early work in Drosophila noted a link between a temperature-induced decrease in metabolism and a significant increase in lifespan.16 In addition, metabolic profiling of longevity-selected Drosophila established clear differences in steady-state metabolite composition at all ages compared to age-matched controls.17 This mirrors similar data in C. elegans18 and mice.19 Caloric restriction studies in Drosophila20 and mice19 provide another link between organismal metabolism and longevity, suggesting not only that caloric restriction causes increased lifespan, but that slowing the changes in the metabolome of flies with age conferred these systemic benefits. These findings largely focus on identifying metabolic biomarkers of aging and longevity as opposed to how local organ changes could ultimately skew organismal metabolism, e.g., improved cardiac function from a more robust sarcomere. Since the heart requires a continuous supply of energy to function yet stores a minimal amount locally, any changes in contractility and energy demand, either local or systemic, will cause significant changes in energy homeostasis and metabolism. Improving heart physiology could alter systemic nutrient delivery, thus having a significant impact on healthspan and activity levels in advanced age.

These data from longevity selection and cardiac-restricted Vinculin-overexpression together suggest a unique link: we hypothesize that the increased contractile capacity and sustained function of Vinculin overexpressing hearts (VincHE) with age increase organismal fitness through improvements to systemic energy metabolism, thereby increasing longevity. We found that a cardiac-specific increase in Vinculin expression increases basal contractility, which helps sustain cardiac respiration with age and alters sugar utilization and glucose oxidation through the tricarboxylic acid (TCA) cycle. These modifications allow VincHE hearts to perform better under mitochondrial stress. Thus, these data for the first time establish a link between cardiomyocyte cytoskeletal remodeling and systemic metabolism and function.

The D. melanogaster strain w1118 was genetically modified to overexpress Vinculin in their hearts via cardiac-specific tinHE-Gal4 driver (tinman heart enhancer) in conjunction with upstream activation sequence (UAS)-inducible Vinculin [Vinculin heart-enhanced (VincHE)]. The resulting cardiac-specific over-expression of VincHE hearts resulted in higher basal wall shortening velocities, increased velocity under viscous load, and a less severe load dependent decline in fractional shortening, i.e., the ratio of tube diameter change to its diastolic diameter.9 While evidence supports a link between cardiovascular function and aerobic exercise capacity21 as well as its age-associated decline,22–24 it is not clear to what extent and how systemic changes result from cardiac-specific sarcomere changes. Thus, we assessed the fitness of VincHE flies as a function of age using the rapid iterative negative geotaxis (RING) assay, which assesses the natural climbing response in flies.25,26 When tracked over their lifespan and as a function of genotype, VincHE flies exhibited increased climbing ability between the ages of 3 and 8 weeks compared to controls [Fig. 1(a)] until the median lifespan was surpassed [Fig. 1(b)]. Forced climbing significantly increases energy demand, so these data from flies with cardiac overexpression of Vinculin suggest that benefits are not only local to the heart and that it significantly increases the activity in aging organisms; it should be noted that activity progressively declines independent of Vinculin expression but that there is prolonged activity for VincHE flies consistent with prolonged lifespan.

FIG. 1.

Increased climbing ability and significant increases in lifespan are observed in VincHE flies. (a) Rapid Iterative Negative Geotaxis (RING) assay described in detail in the methods was performed weekly over the entire lifespan of each genotype, and the climbing distance over an interval of 5 s was recorded for each fly. n = 250 at the start of the experiment. Data represent mean ± SEM. All negative geotaxis data were analyzed with 2-way-ANOVA with post hoc Bonferroni test. *** p < 0.001. (b) Survival curves for VincHE and controls in the RING assay show median survival indicated by the dashed black line for each genotype. ***p < 0.0001.

FIG. 1.

Increased climbing ability and significant increases in lifespan are observed in VincHE flies. (a) Rapid Iterative Negative Geotaxis (RING) assay described in detail in the methods was performed weekly over the entire lifespan of each genotype, and the climbing distance over an interval of 5 s was recorded for each fly. n = 250 at the start of the experiment. Data represent mean ± SEM. All negative geotaxis data were analyzed with 2-way-ANOVA with post hoc Bonferroni test. *** p < 0.001. (b) Survival curves for VincHE and controls in the RING assay show median survival indicated by the dashed black line for each genotype. ***p < 0.0001.

Close modal

Since alterations to the cardiac sarcomere lattice structure have been postulated to change the contractile efficiency,27 we next determined whether VincHE flies had altered cardiomyocyte bioenergetics by adapting the Seahorse XF24 extracellular flux analyzer to measure respiration of individual, surgically exposed and contracting hearts. Oxygen consumption rate (OCR) was proportional to the number of hearts assayed, though we obtained sufficient signal with a single heart, allowing us to measure fly-to-fly variation [Fig. S1(a)]. Regardless, basal OCR of VincHE flies sustained respiration with age, whereas control flies lacking this over-expression experienced a decline in OCR with age [Fig. 2(a)]. Next, we utilized epinephrine, a beta-adrenergic receptor agonist, as a stress to increase contraction and stimulate respiration [Fig. S1(b), right]. After epinephrine exposure, VincHE hearts exhibit a profound increase in respiration, and this increase was sustained with age, whereas OCRs in control hearts significantly decreased [Fig. 2(b)]. These data suggest that the preserved myofibril lattice order in VincHE flies9 is associated with an increase in the mitochondrial respiratory capacity and the ability to handle contractile stress with age. While a causal relationship between Vinculin and OCR has not been previously established to our knowledge, these data are consistent with improved cardiac function resulting from pharmacologically mediated improvements in mitochondrial respiration.28 

FIG. 2.

VincHE hearts exhibit sustained oxygen consumption due to contraction and increased maximal respiration under cardiovascular stress with age. (a) Oxygen consumption rates (OCR) were calculated as the difference between the endogenous (basal) and non-mitochondrial respiration (after addition of rotenone and antimycin A) at the given ages. 12 < n < 20 for all samples in biological triplicates. (b) Stimulated OCR of VincHE and control hearts were measured after the addition of 1 mM epinephrine and corrected for background rates determined with the addition of rotenone and antimycin A. Data represented as mean ± SEM. 12 < n < 20 for all samples in biological triplicates. All respiration data were analyzed with a two-tailed Student's t-test and Mann-Whitney post-test where *p < 0.05. Fly ages are indicated on the x-axis.

FIG. 2.

VincHE hearts exhibit sustained oxygen consumption due to contraction and increased maximal respiration under cardiovascular stress with age. (a) Oxygen consumption rates (OCR) were calculated as the difference between the endogenous (basal) and non-mitochondrial respiration (after addition of rotenone and antimycin A) at the given ages. 12 < n < 20 for all samples in biological triplicates. (b) Stimulated OCR of VincHE and control hearts were measured after the addition of 1 mM epinephrine and corrected for background rates determined with the addition of rotenone and antimycin A. Data represented as mean ± SEM. 12 < n < 20 for all samples in biological triplicates. All respiration data were analyzed with a two-tailed Student's t-test and Mann-Whitney post-test where *p < 0.05. Fly ages are indicated on the x-axis.

Close modal

To identify specific metabolites that could contribute to improved stress tolerance and fitness with age in whole VincHE flies, we profiled metabolism in a non-targeted manner using gas chromatography–mass spectrometry (GC-MS). Of the 280 detected features, 61 had identifiable metabolic signatures. Principal component analysis (PCA) revealed differential metabolite abundances clustering as a function of both genotype and age [Fig. 3(a)], indicating that significant systemic metabolic changes occur as a result of Vinculin-overexpression in the heart. Ontological clustering showed significant accumulation for most of the identified metabolites in aged VincHE flies compared to controls and specific clustering for sugars and amino acids [Fig. 3(b)]. First, sugars such as glucose and sucrose had preferential accumulation in moderately aged VincHE flies [Figs. 3(c) and 3(d)], consistent with data suggesting glucose accumulation in longevity selected flies.17 In addition, we detected significantly increased levels of melezitose with age in VincHE flies [Fig. 3(e)]. This trisaccharide sugar is known to reduce osmotic stress in insects and prolong lifespan in Drosophila.29 Second, amino acid balance is thought to play an important role in diet restriction-mediated lifespan extension30 and in Target of Rapamycin (TOR) pathway activation;31 we found that the amino acid metabolite cluster was significantly increased with age in VincHE flies [Fig. 3(b)]. Homoserine, a metabolite associated with methionine, threonine, and isoleucine metabolism, exhibited significant accumulation in VincHE at 5 weeks [Fig. S2(a)], which could influence methionine availability; methionine restriction extends lifespan in mouse, rat, and fly.32–34 Conversely, additional lysine increases Drosophila longevity,17 and as longevity selected flies, VincHE flies exhibit increased lysine levels with age [Fig. S2(b)]. These data strongly indicate that alteration of metabolite levels or efficiency of sugar utilization may correlate with increased lifespan and healthspan.

FIG. 3.

Whole fly GC-MS metabolic profiling reveals metabolic changes in energy metabolism in VincHE with age. (a) Principal component analysis of biological replicates scaling expression values is plotted for given genotypes (green for VincHE and black for control) and ages (squares for 1 week and triangles for 5 weeks). (b) Heat-map visualization of changes in metabolites identified in whole fly GC-MS analysis normalized to maximal intensity detected across samples and scaled on an expression scale of 1–12 for each genotype and age specified. Metabolites were sorted by ontology and color coded to the left with colors and associated ontology specified at the bottom. Dashed black box highlights sugar ontology. (c) Sucrose, (d) glucose, and (e) melezitose abundance plotted for each genotype at 1 or 5 weeks of adulthood. n = 4 with each five flies per condition. Data were analyzed, and metabolites identified using MetaboliteDetectore software. Statistical significance calculated by 2-way ANOVA with post-hoc Dunn's test. * p < 0.05.

FIG. 3.

Whole fly GC-MS metabolic profiling reveals metabolic changes in energy metabolism in VincHE with age. (a) Principal component analysis of biological replicates scaling expression values is plotted for given genotypes (green for VincHE and black for control) and ages (squares for 1 week and triangles for 5 weeks). (b) Heat-map visualization of changes in metabolites identified in whole fly GC-MS analysis normalized to maximal intensity detected across samples and scaled on an expression scale of 1–12 for each genotype and age specified. Metabolites were sorted by ontology and color coded to the left with colors and associated ontology specified at the bottom. Dashed black box highlights sugar ontology. (c) Sucrose, (d) glucose, and (e) melezitose abundance plotted for each genotype at 1 or 5 weeks of adulthood. n = 4 with each five flies per condition. Data were analyzed, and metabolites identified using MetaboliteDetectore software. Statistical significance calculated by 2-way ANOVA with post-hoc Dunn's test. * p < 0.05.

Close modal

Steady-state metabolomic profiling implicated accumulation of sugar metabolites, e.g., glucose, with VincHE flies, so we next analyzed incorporation of glucose into downstream metabolic pathways in a more targeted manner using uniformly 13C labeled glucose ([U-13C6]glucose). Flies were initially fasted for 12 h and then allowed to ingest labeled glucose; fasting ensured uniform uptake while not affecting fly mortality [Fig. S3(a)]. To demonstrate 13C incorporation from glucose into downstream metabolites, we performed a time-course and analyzed metabolism of control flies offered labeled glucose. 13C incorporation, calculated as mole percent enrichment (MPE), into pyruvate and TCA cycle intermediates increased linearly over time with robust labeling after 1 h post feeding [Fig. S3(b)].

13C enrichment in metabolites was quantified after adult 1-week VincHE and control flies consumed labeled glucose for 1 h after fasting; 1-week flies were chosen to focus on flux changes specifically associated with the genotype as opposed to phenotypic changes caused by differential aging (i.e., survival and activity were significantly different at 5-weeks). Relative MPE values show that VincHE flies exhibit significantly increased glucose incorporation into pyruvate, TCA cycle intermediates (citrate, a-ketoglutarate, succinate, fumarate, and malate), and related amino acids (alanine, glutamate, and aspartate) compared to control conditions (Fig. 4). On the other hand, MPE of lactate was decreased in VincHE flies, indicating that vinculin overexpression redirects glucose-derived carbons away from lactate and into the TCA cycle. Metabolite abundance (instead of flux) also mirrors MPE after the overnight fasting [Fig. S4(a)] and further supports the conclusion that mitochondrial glucose oxidation is increased in VincHE. Conversely, abundance decreased for urea [Fig. S4(b)], a known marker of aging which can cause cardiovascular disease,35,36 and for branched-chain (valine, leucine, and isoleucine) and other amino acids (threonine, phenylalanine, tyrosine, and tryptophan) in VincHE flies [Fig. S4(c)]. These data are consistent with observations where high urea and amino acid concentrations have been linked to diabetes, insulin resistance, and cardiovascular disease.37–39 Taken together, these data strongly suggest that altered systemic glucose metabolism is associated with maintenance of the sarcomere structure in the heart.

FIG. 4.

VincHE flies exhibit increased ability to metabolize glucose via incorporation into the TCA cycle. Mole percent enrichment (MPE) of [U-13C6]glucose shown for pyruvate, lactate, TCA cycle intermediates, and related amino acids relative to control conditions at 1 week of adulthood. Flies were fasted for 12 h before offering labeled glucose. The metabolic map depicts incorporation of [13C]glucose-derived carbons into downstream metabolites. Open circles depict 12C, closed circles 13C atoms (blue first turn, grey second turn of the TCA cycle). Data represented as mean ± SEM. n = 4 with five flies per condition. Statistical significance calculated by non-parametric Students t-test with Mann Whitney post-test. * p < 0.05.

FIG. 4.

VincHE flies exhibit increased ability to metabolize glucose via incorporation into the TCA cycle. Mole percent enrichment (MPE) of [U-13C6]glucose shown for pyruvate, lactate, TCA cycle intermediates, and related amino acids relative to control conditions at 1 week of adulthood. Flies were fasted for 12 h before offering labeled glucose. The metabolic map depicts incorporation of [13C]glucose-derived carbons into downstream metabolites. Open circles depict 12C, closed circles 13C atoms (blue first turn, grey second turn of the TCA cycle). Data represented as mean ± SEM. n = 4 with five flies per condition. Statistical significance calculated by non-parametric Students t-test with Mann Whitney post-test. * p < 0.05.

Close modal

To stress bioenergetics in VincHE flies, rotenone, a mitochondrial complex I inhibitor, was added to hemolymph and contraction monitored. Adult VincHE hearts maintained rhythmic contraction despite mitochondrial stress, whereas contraction arrested in >50% of controls by 45 min [Fig. 5(a)]; dimethyl sulfoxide (DMSO) alone exhibited no significant effects [Fig. S5(a)]. Since VincHE hearts could withstand prolonged stress, heart wall velocity was assessed by m-mode imaging before and after 1 μM rotenone treatment. Untreated VincHE hearts exhibited higher basal shortening velocity over controls as reported,9 but during stress, VincHE hearts exhibited shortening velocities within the physiological range compared to untreated controls [Fig. 5(b)]. These findings indicate the protective effect of Vinculin, so we next sought to understand how mitochondrial inhibition affects the cell cytoskeleton.

FIG. 5.

VincHE hearts exhibit increased resistance to mitochondrial stress when subjected to rotenone treatment compared to controls and maintain physiological heart wall velocities. (a) Percent of hearts contracting with fractional shortening >5% were plotted vs time for VincHE and control hearts exposed to mitochondrial stressor 1 μM rotenone. n = 25 for 1 week old adult hearts. Data were analyzed by Log-rank Mantel Cox test. *** p < 0.0001. (b) Heart wall shortening (contraction) velocities were assessed for VincHE hearts in hemolymph or treated with either 0.05% DMSO or 1 μM rotenone in 0.05% DMSO for 30 min (green) and untreated controls (black). All data were analyzed with a one-way ANOVA and Tukey post-test. n > 15. * p < 0.05, *** p < 0.001.

FIG. 5.

VincHE hearts exhibit increased resistance to mitochondrial stress when subjected to rotenone treatment compared to controls and maintain physiological heart wall velocities. (a) Percent of hearts contracting with fractional shortening >5% were plotted vs time for VincHE and control hearts exposed to mitochondrial stressor 1 μM rotenone. n = 25 for 1 week old adult hearts. Data were analyzed by Log-rank Mantel Cox test. *** p < 0.0001. (b) Heart wall shortening (contraction) velocities were assessed for VincHE hearts in hemolymph or treated with either 0.05% DMSO or 1 μM rotenone in 0.05% DMSO for 30 min (green) and untreated controls (black). All data were analyzed with a one-way ANOVA and Tukey post-test. n > 15. * p < 0.05, *** p < 0.001.

Close modal

Given difficulties to assess acute remodeling in situ, we examined remodeling in the immortalized Drosophila cell line S2R+, which naturally overexpresses Vinculin versus other Drosophila cell lines.40 S2R+ cells were treated with 2 μM rotenone and after 15 min, observable morphological changes occurred. S2R+ cells normally adhere and spread out onto the tissue culture plate forming lamellipodia [Fig. S5(b)]; however, blocking mitochondrial respiration with rotenone caused cells to shrink and form filopodia-like protrusions [Fig. S5(c), arrows]. The treatments not only led to a significant decrease in cell size [Fig. S5(d)] but also a decrease in βPS integrin intensity per cell [Fig. S5(e)], which may indicate focal adhesion disassembly or, at the very least, indicate cytoskeletal reorganization and decreased adhesive ability. Together, these results provide further evidence that adult VincHE flies exhibit enhanced mitochondrial glucose metabolism as well as greater resistance to mitochondrial stress through a more organized cytoskeleton.

These data demonstrate that fly heart-specific Vinculin over-expression increases contractility, sustaining cardiac respiration with age or under conditions of mechanical stress. The resulting cardiac benefits, even in aged VincHE cohorts, increase organismal fitness with age. This may occur in part due to more efficient use of nutrients in VincHE flies, as aerobic oxidation of glucose in mitochondria yields significantly more adenosine triphosphate (ATP) compared to glycolysis. To this end, isotope tracing demonstrated increased glucose oxidation by mitochondria in VincHE flies as shown by increased 13C incorporation from labeled glucose in TCA cycle intermediates after feeding. Overall, cytoskeletal reinforcement in VincHE hearts may serve as the underlying mechanism that allows them to resist mitochondrial stress and maintain rhythmic contraction. These findings are the first to document that cardiac-restricted cytoskeletal remodeling results in a systemic metabolic response. Despite this specificity, our perturbation led to organismal metabolite accumulation similar to longevity selected organisms and to the identification of a systemic mechanism, i.e., enhanced aerobic glucose metabolism in adult flies, which could explain significant increases in lifespan and healthspan.

Heart aging has been classically associated with remodeling where more extracellular matrix is expressed, elasticity is decreased, and compliance is limited;2–4 a negative feedback loop further remodels the heart as afterload; and systolic pressure5,6 causes wall thickening and impairs myocardial contraction.7,8 Although typical age-associated fibrosis is limited in Drosophila41 making compensatory mechanisms easier to study,42,43 these mechanisms can still be observed in the hearts of higher organisms.44,45 Age-associated compensatory mechanisms are not limited to the heart as other tissues, including skeletal muscle, undergo significant remodeling with age, e.g., sarcopenia.46,47 Beyond these specific examples, additional recent evidence suggests that many counterbalancing and underappreciated mechanisms may attempt to maintain organ function44 and that mechanisms can be organ- and protein-specific such as Vinculin.9 

To the best of our knowledge, our data are the first to show that cardiac-specific overexpression of a cytoskeletal protein, which is naturally upregulated in many species and strains with age and results in local improvements in sarcomere organization,9 not only extends lifespan but also improves healthspan, e.g., measures of fitness with age. While such assays measure a multitude of behaviors, including locomotor function, climbing ability, and escape reflex, they also offer significant information on age-dependent decline in skeletal muscle function.25,48 Other studies that restrict diet49 or provide an exercise regimen22 observe temporary changes in function or locomotion but not both, which suggests that transgenic overexpression or higher basal expression of a heart cytoskeletal protein with age could improve organismal fitness by maintaining sufficient respiratory capacity for organs with high metabolic demand, e.g., flight muscles. Improved locomotion may also be explained by our previous observation that more Vinculin in the intercalated discs causes myofibrils that terminate at its junction to be more crystalline. A more regular sarcomere lattice has higher power production from faster actin-myosin cross-bridge cycling,9,50 which could result in higher cardiac respiration. While basal oxygen flux was not significantly different for VincHE flies (data not shown), VincHE hearts stressed by the adrenergic agonist epinephrine increase the maximal OCR and sustain it with age. Moreover, when hearts are stressed by pumping a more viscous fluid, we found that they exhibit increased contractile velocity with elevated afterload. These data for the first time suggest a link between improved contractions from cytoskeletal remodeling and respiration, which may result in better-perfused organs with age as suggested by OCR measurements.

When thin and thick filaments are in better registry with one another, i.e., through cardiac-restricted Vinculin overexpression at the intercalated discs,9 they cycle between bound and unbound states faster and have higher binding probabilities.27 Better cycling alters energy requirements in the heart, but it was uncertain if similar changes could be observed systemically. Untargeted whole fly GC-MS revealed significant energy metabolite accumulation for VincHE flies in all ontological clusters with age. These increased sugar concentrations in VincHE flies mirror metabolic profiling of longevity selected flies17,51 and caloric and amino acid restriction, which also affects lifespan.30,49,52–54 Interestingly, sugar accumulation resulting from more efficient metabolism via cytoskeletal remodeling in the heart appears to be beneficial, but its utilization in a high sugar diet is not. A high sugar diet decreases heart function, induces pericardin accumulation—a fibrosis-like collagen, and shortens lifespan.41VincHE flies also exhibited significant amino acid accumulation, specifically homoserine and lysine. Homoserine is a precursor for methionine, and it is well documented that methionine restriction extends lifespan in several model organisms.32–34 Methionine metabolism affects downstream polyamines, cysteine, and glutathione synthesis and DNA methylation via a transsulfation pathway, so its accumulation in VincHE flies could have significant impact on any of these downstream pathways.55 Thus, our whole fly metabolic profiling suggest that both age, consistent with other aging profiles for Drosophila,56,57and cardiac-specific genetic perturbation affect systemic metabolism consistent with the effects of at least one other cardiac perturbation on organismal metabolism.58,59 It is not known why some of these other metabolic changes have such a significant impact on organismal lifespan, but here, we show a strong correlation between vinculin-mediated improvements in systemic metabolic efficiency and organismal fitness, which implies a new paradigm for cytoskeletal-mediated changes in metabolism.

Glucose tracing further demonstrated that VincHE flies have increased glucose-derived carbon flux into the TCA cycle and decreased lactate levels. The heart predominantly uses fatty acids for ATP production under normal circumstances but will switch to fast glucose metabolism for ATP production during stress.60 We observed that whole VincHE flies could redirect carbons into the TCA cycle for ATP production compared to controls, which suggests Vinculin expression in the heart could better equip the fly to handle external stressors associated with aging. This unique interaction between cardiac-restricted Vinculin overexpression and systemic mitochondrial ATP production was further validated by stressing cells with the mitochondrial complex I inhibitor rotenone.61 We found that improved cardiac sarcomere lattice organization in the VincHE flies prevented rotenone-mediated reduction in the fraction of contractile hearts and also maintained shortening velocities within a physiological range. Conversely, rotenone treatment of Drosophila S2R+ cells, despite higher basal Vinculin expression than other Drosophila cell lines and tissues,40 exhibited significant cytoskeletal depolymerization. S2R+ cells contain focal adhesions, not sarcomeres, and so, these data are consistent with similar observations of disassembly62 but with Vinculin overexpression to compensate for rotenone treatment.63 Thus, in myocytes, it may be plausible that protection may be due to improved cross-bridge cycling,27 i.e., lower ATP demands, and a more stabilized cytoskeleton.

In addition to preferential glucose oxidation in VincHE flies, metabolic studies also revealed decreased abundance of metabolites associated with aging, insulin sensitivity, and cardiovascular disease.37–39 Amino acids such as branched-chain amino acids (BCAAs) as well as tyrosine and phenylalanine are associated with diabetes and aging, and these were all significantly decreased in VincHE flies compared to controls at 1 week. While integral for proper function, elevated circulating BCAAs are found in obese individuals and indicate worse metabolic health and future insulin resistance.39,64–66 BCAAs have also been implicated in cardiovascular disease and heart failure67–69 indicating that cardiac improvements in VincHE flies may exhibit a reversal of metabolic profiles associated with adverse function. These findings implicate not only increased glucose metabolism but also decreased metabolite abundances typically associated with insulin resistance and diabetes which is consistent with earlier work in Drosophila that suggested insulin-IGF (Insulin Growth Factor) signaling influences age-dependent cardiac physiology and lifespan.70 These data together identify how altered glucose metabolism, increased mitochondrial function under stress, and insulin signaling could collectively work to increase energy stores under stress, sustain cardiovascular function with age, and improve longevity. We believe that our data is the first to link a heart-specific cytoskeletal change to a systemic increase in glucose flux and decrease essential amino acids, which better buffers against age-related remodeling of these targets associated with impaired cardiac function.

These data overall suggest for the first time that Vinculin-mediated lifespan extension could be attributed not only to heart-specific improvements in performance but also to systemic metabolic benefits resulting from maintaining cardiac output with age. These observations further suggest specific targets, whether in the cytoskeleton or their downstream metabolic mediators, that could potentially improve fitness in higher organisms.

Fly line UAS-Vinculin (#21870) was obtained from the Bloomington Drosophila Stock Center at Indiana University (NIH P40OD018537). Cardiac-specific gene regulation was achieved with the Gal4-UAS system as described previously.71 UAS-transgenic males were crossed with virgin female tinHE-Gal4 flies using the GAL4-UAS system as previously described.72,73 Female progeny of tinHE-Gal4 and w1118 served as control. Proper insertion of both constructs was validated using heart-specific gene expression analysis.9 Flies were raised on standard agar-containing food at 25 °C. Food was changed every third day. Ethics approval is not required for the work with invertebrates.

Preparation of the Drosophila hearts high speed imaging and respiration measurements were performed as previously described,74 and did not affect heart function.9 Adult female flies were briefly exposed to 5 psi CO2 (<1 min), then anesthetized with Fly Nap (Carolina Biological) for 5 min, and their dorsal side secured to a 35 mm petri dish. The beating heart was exposed by incisions to remove head, thorax, and the ventral abdominal cuticle. Flies were submerged in an artificial oxygenated hemolymph at 25 °C.75 Internal organs and debris above the beating heart were all carefully aspirated with a micropipette, making sure to not perturb the heart as that could result in a hypercontractile state. Rhythmic contraction can be sustained for hours with regular oxygenation and hemolymph changes, but all experiments were performed within 1 h of microsurgery.

Climbing ability was assessed as previously described with the Rapid Iterative Negative Geotaxis (RING) assay.25,26 200 flies per genotype were placed into vials of 25 flies each on standard agar containing food. Each week, on the day prior to measurement, flies were briefly anesthetized with CO2, placed into a fresh vial, and allowed to recover overnight. During the experiment, flies were transferred into new 10 cm flat bottom polypropylene digestion tubes (Environmental Express) without CO2 to prevent any anesthesia agent effects on performance. Four tubes at a time were placed side by side into the RING apparatus.26 After acclimating for 20 min, 5 sets of negative geotaxis at 1-min intervals were recorded where flies were forced to the bottom of their tubes and then allowed to climb. Still images 5 s after each tap were acquired, and distance traveled was measured. Mean height climbed between 0 and 9 cm was calculated for each genotype, and two-way analysis of variance (ANOVA) with a Bonferroni post-test was performed to assess significance at each time-point over their entire lifespan. Flies were transferred into new food vials for continued testing throughout their lifespan. Lifespan and deaths were also recorded every 2 days when food was changed to construct a Kaplan-Meier plot. Females were also separately collected in groups of 25 flies in each vial, kept at 25 °C, and dead flies counted every 2 days after transfer onto new standard agar-containing food. Each experiment consisted of 200 flies.

A method was optimized to use the Seahorse XF24 extracellular flux analyzer and associated consumables (Agilent) to correlate the O2 consumption rate (OCR) with cardiac function by measuring rates of oxygen consumption of intact hearts. Rigorously cleaned Drosophila hearts attached to a trimmed cuticle were placed at 1 heart/well into a 24-well islet capture plate using tweezers. Tissue was secured to the center of the well using a small amount of vacuum grease. 400 μl of hemolymph described above with 5 mM phenol red was added to each well. A capture screen was placed over each recessed well to keep the tissue in place. All hearts were checked for contractility before the start of the assay. OCR was assayed through the injection of a series of compounds; basal respiration was assessed prior to the injection of any pharmacological compounds. Although exhaustive attempts to measure state 4 (with oligomycin) and maximal carbonyl cyanide-4-(trifluoromethoxy)phenylhydrazone (FCCP)-induced uncoupled respiration were made by testing differing concentrations and incubation times, the lack of appropriate changes in OCR suggested that oligomycin and FCCP did not permeate the heart tissue. Therefore, these data are not shown. However, non-mitochondrial OCR/instrument background was able to be measured after addition of 1 μM rotenone and 4 μM antimycin A. Sixteen loops of mixing and 2 min measurements were required after the addition of rotenone and antimycin A to achieve a steady-state minimal rate, suggesting that these reagents only slowly diffuse into the heart tissue. For cardiac stress measurements, maximal respiration was calculated as the difference between the maximal OCR detected after the addition of 1 mM epinephrine and the minimal rate detected [non-mitochondrial respiration] after addition of rotenone and antimycin A. Evidence suggests that medium acidification rates of 3D tissues are not a reliable indicator of glycolytic lactate production and are more reflective of rates of respiratory CO2 production;76 therefore, extracellular acidification rates were not reported. All data are mean ± standard error of the mean (SEM) of the individual OCR measurements from each heart assayed over multiple plates as indicated.

Five whole flies per biological replicate were collected from each genotype for metabolome characterization. Ages were chosen to capture “adult” 1 week, “aged” 5 week (i.e., median survival for controls), and median survival reported for VincHE 11 week.9 At each age, the flies were exposed to 5 psi CO2, placed into individual tubes at 5 flies per tube, and weighed for normalization. A 9:1 methanol/water mixture was added to each tube at 75 μl/mg fly weight, tubes were placed into liquid nitrogen for snap-freezing, and frozen flies were stored in −80 °C until metabolite extraction was performed.

For each biological replicate, five whole flies per genotype at 1 week were fasted for 12 h prior to tracing experiment by placing them into empty plastic vials with cotton balls overnight. Then, a small aliquot (∼45 μl) of 30 mM [U-13C6]glucose dissolved in diH2O with blue dye was placed onto the side of the vials, which allowed flies to consume immediately. Immediate uniform consumption of the [U-13C6]glucose mixture was verified using the blue dye indicator in gut tube. At 0.5, 1, 2, and 4 h for preliminary studies in Fig. S3(b), the flies were quickly exposed to 5 psi CO2, placed into individual tubes at 5 flies per tube, and weighed so that samples can later be normalized to their weight. Tubes were placed into liquid nitrogen to snap-freeze the flies and stored in −80 °C until metabolite extraction was performed. For Fig. 3, 1 week flies were offered 30 mM [U-13C6]glucose for 1 h post fasting and collected as depicted above.

Polar metabolites from a pool of five flies per biological replicate were extracted using methanol/water/chloroform. Flies were homogenized in 0.25 ml of −80 °C methanol, 0.25 ml of −20 °C chloroform, and 0.1 ml of 4 °C cold water using a ball mill (Retch) for 2 min at 25 Hz/s for two circles. The volume of the extraction fluid was adjusted to account for differences in fly weight across the samples. The extracts were incubated on a Thermomixer (Eppendorf) at 1400 rpm for 20 min at 4 °C and centrifuged at 16 000 × g for 5 min at 4 °C. 0.2 ml of the upper aqueous phase was evaporated under vacuum at −4 °C using a refrigerated CentriVap Concentrator (Labconco).

Metabolite derivatization was performed using a Gerstel MultiPurpose sampler. Dried metabolites were dissolved in 15 μl of 2% (w/v) methoxyamine hydrochloride (Thermo Scientific) in pyridine and incubated for 60 min at 45 °C. An equal volume of 2,2,2-trifluoro-N-methyl-N-trimethylsilyl-acetamide (MSTFA) (non-targeted metabolomics study) or N-tertbutyldimethylsilyl-N-methyltrifluoroacetamide (MTBSTFA) ([13C]tracer studies) with 1% tert-butyldimethylchlorosilane (Regis Technologies) was added and incubated further for 30 min at 45 °C.

After derivatization, samples were analyzed by GC-MS using a DB-35MS column (30 m × 0.25 mm i.d. × 0.25 μm, Agilent J&W Scientific) installed in an Agilent 7890A gas chromatograph (GC) interfaced with an Agilent 5977 mass spectrometer (MS) operating under electron impact ionization at 70 eV. The MS source was held at 230 °C and the quadrupole at 150 °C. 1 μl of the derivatized sample was injected, and helium was used as carrier gas at a flow rate of 1 ml/min. For MTBSTFA derivatized samples, the GC oven was held at 100 °C for 1 min, increased to 255 °C at 3.5 °C min−1, increased to 320 °C at 15 °C min−1, and held at 320 °C for 3 min. For MSTFA measurements, the GC oven was held at 80 °C for 6 min, increased to 300 °C at 6 °C min−1, increased to 325 °C at 10 °C min−1, and held at 325 °C for 4 min.

Metabolite levels and mass isotopomer distributions were determined by integrating metabolite ion fragments and corrected for natural abundance using MetaboliteDetector software and in-house algorithms. Four biological replicates per genotype and age were analyzed. For non-targeted data, the variation was determined by Principal Component Analysis (PCA), and Fig. 3 depicts relative metabolite abundance normalized to sum of metabolite abundances present per sample. For isotopic labeling experiments, Figs. 4 and S3 are shown as mole percent enrichment (MPE). MPE was calculated as the percent of all atoms within the metabolite pool that are labeled as

i=1nMiin,
(1)

where n is the number of carbon atoms in the metabolite and Mi is the relative abundance of the ith mass isotopomer. Relative abundances plotted for Fig. S3 depicts data normalized to controls at 1 week.

All data were checked for Gaussian distribution prior to analysis using D'agnostino-Pearson omnibus normality test. Two-way analysis of variance (ANOVA) was used when comparing two or more groups at more than one condition such as negative geotaxis assay followed by a Bonferroni multiple comparisons post hoc test of significances. Significances are displayed with Bonferroni post-hoc test results denoted over specific comparisons. One-way ANOVA with Dunn's post-test was performed on whole fly metabolite abundance values across genotypes and ages. Lifespan analyses were performed using a log-rank analysis (Mantel-Cox test). In all cases p < 0.05 was taken as significant. All statistical analyses were performed using Prism 5.0a (Graphpad Software, Inc). Specific analyses used are indicated in figure legends. All in situ experiments were performed with biological replicates of 15–30 flies unless otherwise indicated and are displayed with average and standard error of the mean (SEM).

See supplementary material for five figures that outline the methods used in OCR measurements and glucose tracing. These figures also provide additional data for untargeted and traced metabolite data and control fly and cell culture data for rotenone treatments.

We would like to thank Chandni Mistry and Claire McCain for technical support and helpful discussions regarding data analyses. Stocks obtained from the Bloomington Drosophila Stock Center (NIH P40OD018537) were used in this study. National Institutes of Health (NIH) Grant Nos. R01AG045428 (A.J.E.), R01CA188652 (C.M.M.), R01NS087611 (A.N.M.), and F32HL131137 (A.O.S.), the American Heart Association Grant No. 15PRE25090334 (A.O.S.), the National Science Foundation Grant No. 1454425 (C.M.M.), Deutsche Forschungsgesellschaft (German Research Foundation; CO1488/1-1 to T.C.), and California Institute of Regenerative Medicine (CIRM) Grant No. RB5-07356 (C.M.M.) supported this work.

ANOVA

Analysis of variance

CVD

Cardiovascular disease

GC-MS

Gas chromatography-mass spectrometry

ID

Intercalated disc

MSTFA

2,2,2-trifluoro-N-methyl-N-trimethylsilyl-acetamide

MTBSTFA

N-tertbutyldimethylsilyl-N-methyltrifluoroacetamide

OCR

Oxygen consumption rate

PCA

Principal component analysis

UAS

Upstream activation sequence

VincHE

Vinculin heart-enhanced flies

1.
D.
Mozaffarian
,
E. J.
Benjamin
,
A. S.
Go
,
D. K.
Arnett
,
M. J.
Blaha
,
M.
Cushman
,
S. R.
Das
,
S.
de Ferranti
,
J. P.
Després
,
H. J.
Fullerton
,
V. J.
Howard
,
M. D.
Huffman
,
C. R.
Isasi
,
M. C.
Jiménez
,
S. E.
Judd
,
B. M.
Kissela
,
J. H.
Lichtman
,
L. D.
Lisabeth
,
S.
Liu
,
R. H.
Mackey
,
D. J.
Magid
,
D. K.
McGuire
,
E. R.
Mohler
,
C. S.
Moy
,
P.
Muntner
,
M. E.
Mussolino
,
K.
Nasir
,
R. W.
Neumar
,
G.
Nichol
,
L.
Palaniappan
,
D. K.
Pandey
,
M. J.
Reeves
,
C. J.
Rodriguez
,
W.
Rosamond
,
P. D.
Sorlie
,
J.
Stein
,
A.
Towfighi
,
T. N.
Turan
,
S. S.
Virani
,
D.
Woo
,
R. W.
Yeh
,
M. B.
Turner
, and
AHASCaSS.
Subcommittee
, “
Heart disease and stroke statistics-2016 update: A report from the American Heart Association
,”
Circulation
133
(
4
),
e38
e360
(
2016
).
2.
M. A.
Horn
,
H. K.
Graham
,
M. A.
Richards
,
J. D.
Clarke
,
D. J.
Greensmith
,
S. J.
Briston
,
M. C.
Hall
,
K. M.
Dibb
, and
A. W.
Trafford
, “
Age-related divergent remodeling of the cardiac extracellular matrix in heart failure: Collagen accumulation in the young and loss in the aged
,”
J. Mol. Cell Cardiol.
53
(
1
),
82
90
(
2012
).
3.
T. A.
Bonda
,
B.
Szynaka
,
M.
Sokołowska
,
M.
Dziemidowicz
,
M. M.
Winnicka
,
L.
Chyczewski
, and
K. A.
Kamiński
, “
Remodeling of the intercalated disc related to aging in the mouse heart
,”
J. Cardiol.
68
(
3
),
261
268
(
2016
).
4.
M. G.
Khouri
,
M. S.
Maurer
, and
L.
El-Khoury Rumbarger
, “
Assessment of age-related changes in left ventricular structure and function by freehand three-dimensional echocardiography
,”
Am. J. Geriatr Cardiol.
14
(
3
),
118
125
(
2005
).
5.
E. G.
Lakatta
and
D.
Levy
, “
Arterial and cardiac aging: Major shareholders in cardiovascular disease enterprises: Part II: The aging heart in health: Links to heart disease
,”
Circulation
107
(
2
),
346
354
(
2003
).
6.
E. G.
Lakatta
, “
Arterial and cardiac aging: Major shareholders in cardiovascular disease enterprises: Part III: Cellular and molecular clues to heart and arterial aging
,”
Circulation
107
(
3
),
490
497
(
2003
).
7.
C. W.
Yancy
,
M.
Jessup
,
B.
Bozkurt
,
J.
Butler
,
D. E.
Casey
, Jr.
,
M. H.
Drazner
,
G. C.
Fonarow
,
S. A.
Geraci
,
T.
Horwich
,
J. L.
Januzzi
,
M. R.
Johnson
,
E. K.
Kasper
,
W. C.
Levy
,
F. A.
Masoudi
,
P. E.
McBride
,
J. J.
McMurray
,
J. E.
Mitchell
,
P. N.
Peterson
,
B.
Riegel
,
F.
Sam
,
L. W.
Stevenson
,
W. H.
Tang
,
E. J.
Tsai
,
B. L.
Wilkoff
,
American College of Cardiology Foundation, and American Heart Association Task Force on Practice Guidelines
, “
2013 ACCF/AHA guideline for the management of heart failure: A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines
,”
J. Am. Coll. Cardiol.
62
(
16
),
e147
e239
(
2013
).
8.
K.
Sharma
and
D. A.
Kass
, “
Heart failure with preserved ejection fraction: Mechanisms, clinical features, and therapies
,”
Circ. Res.
115
(
1
),
79
96
(
2014
).
9.
G.
Kaushik
,
A.
Spenlehauer
,
A. O.
Sessions
,
A. S.
Trujillo
,
A.
Fuhrmann
,
Z.
Fu
,
V.
Venkatraman
,
D.
Pohl
,
J.
Tuler
,
M.
Wang
,
E. G.
Lakatta
,
K.
Ocorr
,
R.
Bodmer
,
S. I.
Bernstein
,
J. E.
Van Eyk
,
A.
Cammarato
, and
A. J.
Engler
, “
Vinculin network-mediated cytoskeletal remodeling regulates contractile function in the aging heart
,”
Sci. Transl. Med.
7
(
292
),
292ra99
(
2015
).
10.
S.
Hein
,
S.
Kostin
,
A.
Heling
,
Y.
Maeno
, and
J.
Schaper
, “
The role of the cytoskeleton in heart failure
,”
Cardiovasc. Res.
45
(
2
),
273
278
(
2000
).
11.
A.
Heling
,
R.
Zimmermann
,
S.
Kostin
,
Y.
Maeno
,
S.
Hein
,
B.
Devaux
,
E.
Bauer
,
W. P.
Klövekorn
,
M.
Schlepper
,
W.
Schaper
, and
J.
Schaper
, “
Increased expression of cytoskeletal, linkage, and extracellular proteins in failing human myocardium
,”
Circ. Res.
86
(
8
),
846
853
(
2000
).
12.
E. J.
Birks
,
J. L.
Hall
,
P. J.
Barton
,
S.
Grindle
,
N.
Latif
,
J. P.
Hardy
,
J. E.
Rider
,
N. R.
Banner
,
A.
Khaghani
,
L. W.
Miller
, and
M. H.
Yacoub
, “
Gene profiling changes in cytoskeletal proteins during clinical recovery after left ventricular-assist device support
,”
Circulation
112
(
9 Suppl
),
I57
I64
(
2005
), available at http://circ.ahajournals.org/content/112/9_suppl/I-57.long.
13.
E. J.
Birks
, “
Molecular changes after left ventricular assist device support for heart failure
,”
Circ. Res.
113
(
6
),
777
791
(
2013
).
14.
L.
Partridge
, “
Some highlights of research on aging with invertebrates, 2009
,”
Aging Cell
8
(
5
),
509
513
(
2009
).
15.
G.
Lepperdinger
,
P.
Berger
,
M.
Breitenbach
,
K. U.
Frohlich
,
J.
Grillari
,
B.
Grubeck-Loebenstein
,
F.
Madeo
,
N.
Minois
,
W.
Zwerschke
, and
P.
Jansen-Durr
, “
The use of genetically engineered model systems for research on human aging
,”
Front. Biosci.
13
,
7022
7031
(
2008
).
16.
J.
Miquel
,
P. R.
Lundgren
,
K. G.
Bensch
, and
H.
Atlan
, “
Effects of temperature on the life span, vitality and fine structure of Drosophila melanogaster
,”
Mech. Ageing Dev.
5
(
5
),
347
370
(
1976
).
17.
P.
Sarup
,
S. M.
Pedersen
,
N. C.
Nielsen
,
A.
Malmendal
, and
V.
Loeschcke
, “
The metabolic profile of long-lived Drosophila melanogaster
,”
PLoS One
7
(
10
),
e47461
(
2012
).
18.
S.
Fuchs
,
J. G.
Bundy
,
S. K.
Davies
,
J. M.
Viney
,
J. S.
Swire
, and
A. M.
Leroi
, “
A metabolic signature of long life in Caenorhabditis elegans
,”
BMC Biol.
8
,
14
(
2010
).
19.
A.
Wijeyesekera
,
C.
Selman
,
R. H.
Barton
,
E.
Holmes
,
J. K.
Nicholson
, and
D. J.
Withers
, “
Metabotyping of long-lived mice using 1H NMR spectroscopy
,”
J. Proteome Res.
11
(
4
),
2224
2235
(
2012
).
20.
M. J.
Laye
,
V.
Tran
,
D. P.
Jones
,
P.
Kapahi
, and
D. E.
Promislow
, “
The effects of age and dietary restriction on the tissue-specific metabolome of Drosophila
,”
Aging Cell
14
(
5
),
797
808
(
2015
).
21.
C.
Trankle
,
J. M.
Canada
,
L.
Buckley
,
S.
Carbone
,
D.
Dixon
,
R.
Arena
,
B.
Van Tassell
, and
A.
Abbate
, “
Impaired myocardial relaxation with exercise determines peak aerobic exercise capacity in heart failure with preserved ejection fraction
,”
ESC Heart Failure
4
(
3
),
351
355
(
2017
).
22.
N.
Piazza
,
B.
Gosangi
,
S.
Devilla
,
R.
Arking
, and
R.
Wessells
, “
Exercise-training in young Drosophila melanogaster reduces age-related decline in mobility and cardiac performance
,”
PLoS One
4
(
6
),
e5886
(
2009
).
23.
M. K.
Pagala
,
K.
Ravindran
,
T.
Namba
, and
D.
Grob
, “
Skeletal muscle fatigue and physical endurance of young and old mice
,”
Muscle Nerve
21
(
12
),
1729
1739
(
1998
).
24.
L. E.
Böttiger
, “
Regular decline in physical working capacity with age
,”
Br. Med. J.
3
(
5874
),
270
271
(
1973
).
25.
J. W.
Gargano
,
I.
Martin
,
P.
Bhandari
, and
M. S.
Grotewiel
, “
Rapid iterative negative geotaxis (RING): A new method for assessing age-related locomotor decline in Drosophila
,”
Exp. Gerontol.
40
(
5
),
386
395
(
2005
).
26.
C. D.
Nichols
,
J.
Becnel
, and
U. B.
Pandey
, “
Methods to assay Drosophila behavior
,”
J. Visualized Exp.
61
,
3795
(
2012
).
27.
J. R.
Tangney
,
J. S.
Chuang
,
M. S.
Janssen
,
A.
Krishnamurthy
,
P.
Liao
,
M.
Hoshijima
,
X.
Wu
,
G. A.
Meininger
,
M.
Muthuchamy
,
A.
Zemljic-Harpf
,
R. S.
Ross
,
L. R.
Frank
,
A. D.
McCulloch
, and
J. H.
Omens
, “
Novel role for vinculin in ventricular myocyte mechanics and dysfunction
,”
Biophys. J.
104
(
7
),
1623
1633
(
2013
).
28.
D.
Sun
and
F.
Yang
, “
Metformin improves cardiac function in mice with heart failure after myocardial infarction by regulating mitochondrial energy metabolism
,”
Biochem. Biophys. Res. Commun.
486
(
2
),
329
335
(
2017
).
29.
H. W.
Kircher
and
B.
Al-Azawi
, “
Longevity of seven species of cactophilic Drosophila and D. melanogaster on carbohydrates
,”
J. Insect Physiol.
31
(
2
),
165
169
(
1985
).
30.
R. C.
Grandison
,
M. D.
Piper
, and
L.
Partridge
, “
Amino-acid imbalance explains extension of lifespan by dietary restriction in Drosophila
,”
Nature
462
(
7276
),
1061
1064
(
2009
).
31.
P.
Kapahi
,
B. M.
Zid
,
T.
Harper
,
D.
Koslover
,
V.
Sapin
, and
S.
Benzer
, “
Regulation of lifespan in Drosophila by modulation of genes in the TOR signaling pathway
,”
Curr. Biol.
14
(
10
),
885
890
(
2004
).
32.
B. C.
Lee
,
A.
Kaya
,
S.
Ma
,
G.
Kim
,
M. V.
Gerashchenko
,
S. H.
Yim
,
Z.
Hu
,
L. G.
Harshman
, and
V. N.
Gladyshev
, “
Methionine restriction extends lifespan of Drosophila melanogaster under conditions of low amino-acid status
,”
Nat. Commun.
5
,
3592
(
2014
).
33.
J. A.
Zimmerman
,
V.
Malloy
,
R.
Krajcik
, and
N.
Orentreich
, “
Nutritional control of aging
,”
Exp. Gerontol.
38
(
1–2
),
47
52
(
2003
).
34.
N.
Orentreich
,
J. R.
Matias
,
A.
DeFelice
, and
J. A.
Zimmerman
, “
Low methionine ingestion by rats extends life span
,”
J. Nutr.
123
(
2
),
269
274
(
1993
), available at https://academic.oup.com/jn/article-abstract/123/2/269/4724016.
35.
I.
Fehrman-Ekholm
and
L.
Skeppholm
, “
Renal function in the elderly (>70 years old) measured by means of iohexol clearance, serum creatinine, serum urea and estimated clearance
,”
Scand. J. Urol. Nephrol.
38
(
1
),
73
77
(
2004
).
36.
W. L.
Lau
and
N. D.
Vaziri
, “
Urea, a true uremic toxin: The empire strikes back
,”
Clin. Sci.
131
(
1
),
3
12
(
2016
).
37.
M.
Magnusson
,
G. D.
Lewis
,
U.
Ericson
,
M.
Orho-Melander
,
B.
Hedblad
,
G.
Engström
,
G.
Ostling
,
C.
Clish
,
T. J.
Wang
,
R. E.
Gerszten
, and
O.
Melander
, “
A diabetes-predictive amino acid score and future cardiovascular disease
,”
Eur. Heart J.
34
(
26
),
1982
1989
(
2013
).
38.
C. C.
Lee
,
S. M.
Watkins
,
C.
Lorenzo
,
L. E.
Wagenknecht
,
D.
Il'yasova
,
Y. D.
Chen
,
S. M.
Haffner
, and
A. J.
Hanley
, “
Branched-chain amino acids and insulin metabolism: The insulin resistance atherosclerosis study (IRAS)
,”
Diabetes Care
39
(
4
),
582
588
(
2016
).
39.
C. B.
Newgard
,
J.
An
,
J. R.
Bain
,
M. J.
Muehlbauer
,
R. D.
Stevens
,
L. F.
Lien
,
A. M.
Haqq
,
S. H.
Shah
,
M.
Arlotto
,
C. A.
Slentz
,
J.
Rochon
,
D.
Gallup
,
O.
Ilkayeva
,
B. R.
Wenner
,
W. S.
Yancy
,
H.
Eisenson
,
G.
Musante
,
R. S.
Surwit
,
D. S.
Millington
,
M. D.
Butler
, and
L. P.
Svetkey
, “
A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance
,”
Cell Metab.
9
(
4
),
311
326
(
2009
).
40.
B. R.
Graveley
,
A. N.
Brooks
,
J. W.
Carlson
,
M. O.
Duff
,
J. M.
Landolin
,
L.
Yang
,
C. G.
Artieri
,
M. J.
van Baren
,
N.
Boley
,
B. W.
Booth
,
J. B.
Brown
,
L.
Cherbas
,
C. A.
Davis
,
A.
Dobin
,
R.
Li
,
W.
Lin
,
J. H.
Malone
,
N. R.
Mattiuzzo
,
D.
Miller
,
D.
Sturgill
,
B. B.
Tuch
,
C.
Zaleski
,
D.
Zhang
,
M.
Blanchette
,
S.
Dudoit
,
B.
Eads
,
R. E.
Green
,
A.
Hammonds
,
L.
Jiang
,
P.
Kapranov
,
L.
Langton
,
N.
Perrimon
,
J. E.
Sandler
,
K. H.
Wan
,
A.
Willingham
,
Y.
Zhang
,
Y.
Zou
,
J.
Andrews
,
P. J.
Bickel
,
S. E.
Brenner
,
M. R.
Brent
,
P.
Cherbas
,
T. R.
Gingeras
,
R. A.
Hoskins
,
T. C.
Kaufman
,
B.
Oliver
, and
S. E.
Celniker
, “
The developmental transcriptome of Drosophila melanogaster
,”
Nature
471
(
7339
),
473
479
(
2011
).
41.
J.
Na
,
L. P.
Musselman
,
J.
Pendse
,
T. J.
Baranski
,
R.
Bodmer
,
K.
Ocorr
, and
R.
Cagan
, “
A Drosophila model of high sugar diet-induced cardiomyopathy
,”
PLoS Genet.
9
(
1
),
e1003175
(
2013
).
42.
M.
Nishimura
,
K.
Ocorr
,
R.
Bodmer
, and
J.
Cartry
, “
Drosophila as a model to study cardiac aging
,”
Exp. Gerontol.
46
(
5
),
326
330
(
2011
).
43.
G.
Kaushik
,
A. C.
Zambon
,
A.
Fuhrmann
,
S. I.
Bernstein
,
R.
Bodmer
,
A. J.
Engler
, and
A.
Cammarato
, “
Measuring passive myocardial stiffness in Drosophila melanogaster to investigate diastolic dysfunction
,”
J. Cell. Mol. Med.
16
(
8
),
1656
1662
(
2012
).
44.
A. O.
Sessions
and
A. J.
Engler
, “
Mechanical regulation of cardiac aging in model systems
,”
Circ. Res.
118
(
10
),
1553
1562
(
2016
).
45.
A. J.
Boyle
,
H.
Shih
,
J.
Hwang
,
J.
Ye
,
B.
Lee
,
Y.
Zhang
,
D.
Kwon
,
K.
Jun
,
D.
Zheng
,
R.
Sievers
,
F.
Angeli
,
Y.
Yeghiazarians
, and
R.
Lee
, “
Cardiomyopathy of aging in the mammalian heart is characterized by myocardial hypertrophy, fibrosis and a predisposition towards cardiomyocyte apoptosis and autophagy
,”
Exp. Gerontol.
46
(
7
),
549
559
(
2011
).
46.
A. L.
Fisher
, “
Of worms and women: Sarcopenia and its role in disability and mortality
,”
J. Am. Geriatr. Soc.
52
(
7
),
1185
1190
(
2004
).
47.
H.
Augustin
and
L.
Partridge
, “
Invertebrate models of age-related muscle degeneration
,”
Biochim. Biophys. Acta
1790
(
10
),
1084
1094
(
2009
).
48.
D.
Rhodenizer
,
I.
Martin
,
P.
Bhandari
,
S. D.
Pletcher
, and
M.
Grotewiel
, “
Genetic and environmental factors impact age-related impairment of negative geotaxis in Drosophila by altering age-dependent climbing speed
,”
Exp. Gerontol.
43
(
8
),
739
748
(
2008
).
49.
W.
Mair
,
M. D.
Piper
, and
L.
Partridge
, “
Calories do not explain extension of life span by dietary restriction in Drosophila
,”
PLoS Biol.
3
(
7
),
e223
(
2005
).
50.
G. P.
Farman
,
J. S.
Walker
,
P. P.
de Tombe
, and
T. C.
Irving
, “
Impact of osmotic compression on sarcomere structure and myofilament calcium sensitivity of isolated rat myocardium
,”
Am. J. Physiol.-Heart Circ. Physiol.
291
(
4
),
H1847
H1855
(
2006
).
51.
W. K.
Reeves
and
G. Z.
Jones
, “
Effects of melezitose and stachyose on adult longevity and virus persistence in Culicoides sonorensis (Diptera: Ceratopogonidae)
,”
Western North Am. Nat.
70
(
1
),
114
116
(
2010
).
52.
C. Y.
Liao
,
B. A.
Rikke
,
T. E.
Johnson
,
V.
Diaz
, and
J. F.
Nelson
, “
Genetic variation in the murine lifespan response to dietary restriction: From life extension to life shortening
,”
Aging Cell
9
(
1
),
92
95
(
2010
).
53.
E. J.
Masoro
, “
Overview of caloric restriction and ageing
,”
Mech. Ageing Dev.
126
(
9
),
913
922
(
2005
).
54.
D. G.
Le Couteur
,
S.
Solon-Biet
,
V. C.
Cogger
,
S. J.
Mitchell
,
A.
Senior
,
R.
de Cabo
,
D.
Raubenheimer
, and
S. J.
Simpson
, “
The impact of low-protein high-carbohydrate diets on aging and lifespan
,”
Cell. Mol. Life Sci.
73
(
6
),
1237
1252
(
2016
).
55.
C.
Hine
,
E.
Harputlugil
,
Y.
Zhang
,
C.
Ruckenstuhl
,
B. C.
Lee
,
L.
Brace
,
A.
Longchamp
,
J. H.
Treviño-Villarreal
,
P.
Mejia
,
C. K.
Ozaki
,
R.
Wang
,
V. N.
Gladyshev
,
F.
Madeo
,
W. B.
Mair
, and
J. R.
Mitchell
, “
Endogenous hydrogen sulfide production is essential for dietary restriction benefits
,”
Cell
160
(
1-2
),
132
144
(
2015
).
56.
A. S.
Avanesov
,
S.
Ma
,
K. A.
Pierce
,
S. H.
Yim
,
B. C.
Lee
,
C. B.
Clish
, and
V. N.
Gladyshev
, “
Age- and diet-associated metabolome remodeling characterizes the aging process driven by damage accumulation
,”
eLife
3
,
e02077
(
2014
).
57.
J. M.
Hoffman
,
Q. A.
Soltow
,
S.
Li
,
A.
Sidik
,
D. P.
Jones
, and
D. E.
Promislow
, “
Effects of age, sex, and genotype on high-sensitivity metabolomic profiles in the fruit fly, Drosophila melanogaster
,”
Aging Cell
13
(
4
),
596
604
(
2014
).
58.
K. K.
Baskin
,
C. E.
Grueter
,
C. M.
Kusminski
,
W. L.
Holland
,
A. L.
Bookout
,
S.
Satapati
,
Y. M.
Kong
,
S. C.
Burgess
,
C. R.
Malloy
,
P. E.
Scherer
,
C. B.
Newgard
,
R.
Bassel-Duby
, and
E. N.
Olson
, “
MED13-dependent signaling from the heart confers leanness by enhancing metabolism in adipose tissue and liver
,”
EMBO Mol. Med.
6
(
12
),
1610
1621
(
2014
).
59.
J. H.
Lee
,
R.
Bassel-Duby
, and
E. N.
Olson
, “
Heart- and muscle-derived signaling system dependent on MED13 and Wingless controls obesity in Drosophila
,”
Proc. Natl. Acad. Sci. U. S. A.
111
(
26
),
9491
9496
(
2014
).
60.
A.
Grynberg
and
L.
Demaison
, “
Fatty acid oxidation in the heart
,”
J. Cardiovasc. Pharmacol.
28
(
Suppl 1
),
S11
S17
(
1996
).
61.
J. R.
Cannon
and
J. T.
Greenamyre
, “
Neurotoxic in vivo models of Parkinson's disease recent advances
,”
Prog. Brain Res.
184
,
17
33
(
2010
).
62.
D. H.
Kim
and
D.
Wirtz
, “
Focal adhesion size uniquely predicts cell migration
,”
FASEB J.
27
(
4
),
1351
1361
(
2013
).
63.
V. L.
Gabai
,
A. E.
Kabakov
, and
A. F.
Mosin
, “
Association of blebbing with assembly of cytoskeletal proteins in ATP-depleted EL-4 ascites tumour cells
,”
Tissue Cell
24
(
2
),
171
177
(
1992
).
64.
K. C.
Olson
,
G.
Chen
,
Y.
Xu
,
A.
Hajnal
, and
C. J.
Lynch
, “
Alloisoleucine differentiates the branched-chain aminoacidemia of Zucker and dietary obese rats
,”
Obesity
22
(
5
),
1212
1215
(
2014
).
65.
M. A.
Herman
,
P.
She
,
O. D.
Peroni
,
C. J.
Lynch
, and
B. B.
Kahn
, “
Adipose tissue branched chain amino acid (BCAA) metabolism modulates circulating BCAA levels
,”
J. Biol. Chem.
285
(
15
),
11348
11356
(
2010
).
66.
B. C.
Batch
,
S. H.
Shah
,
C. B.
Newgard
,
C. B.
Turer
,
C.
Haynes
,
J. R.
Bain
,
M.
Muehlbauer
,
M. J.
Patel
,
R. D.
Stevens
,
L. J.
Appel
,
L. K.
Newby
, and
L. P.
Svetkey
, “
Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness
,”
Metabolism
62
(
7
),
961
969
(
2013
).
67.
H.
Sun
and
Y.
Wang
, “
Branched chain amino acid metabolic reprogramming in heart failure
,”
Biochim. Biophys. Acta
1862
(
12
),
2270
2275
(
2016
).
68.
H.
Sun
,
K. C.
Olson
,
C.
Gao
,
D. A.
Prosdocimo
,
M.
Zhou
,
Z.
Wang
,
D.
Jeyaraj
,
J. Y.
Youn
,
S.
Ren
,
Y.
Liu
,
C. D.
Rau
,
S.
Shah
,
O.
Ilkayeva
,
W. J.
Gui
,
N. S.
William
,
R. M.
Wynn
,
C. B.
Newgard
,
H.
Cai
,
X.
Xiao
,
D. T.
Chuang
,
P. C.
Schulze
,
C.
Lynch
,
M. K.
Jain
, and
Y.
Wang
, “
Catabolic defect of branched-chain amino acids promotes heart failure
,”
Circulation
133
(
21
),
2038
2049
(
2016
).
69.
X.
Wang
,
D.
Wang
,
X.
Yu
,
G.
Zhang
,
J.
Wu
,
G.
Zhu
,
R.
Su
, and
J.
Lv
, “
Non-targeted metabolomics identified a common metabolic signature of lethal ventricular tachyarrhythmia (LVTA) in two rat models
,”
Mol. Biosyst.
12
(
7
),
2213
2223
(
2016
).
70.
R. J.
Wessells
,
E.
Fitzgerald
,
J. R.
Cypser
,
M.
Tatar
, and
R.
Bodmer
, “
Insulin regulation of heart function in aging fruit flies
,”
Nat. Genet.
36
(
12
),
1275
1281
(
2004
).
71.
A. H.
Brand
and
N.
Perrimon
, “
Targeted gene expression as a means of altering cell fates and generating dominant phenotypes
,”
Development
118
(
2
),
401
415
(
1993
).
72.
N.
Staudt
,
A.
Molitor
,
K.
Somogyi
,
J.
Mata
,
S.
Curado
,
K.
Eulenberg
,
M.
Meise
,
T.
Siegmund
,
T.
Häder
,
A.
Hilfiker
,
G.
Brönner
,
A.
Ephrussi
,
P.
Rørth
,
S. M.
Cohen
,
S.
Fellert
,
H. R.
Chung
,
O.
Piepenburg
,
U.
Schäfer
,
H.
Jäckle
, and
G.
Vorbrüggen
, “
Gain-of-function screen for genes that affect Drosophila muscle pattern formation
,”
PLoS Genet.
1
(
4
),
e55
(
2005
).
73.
Y.
Bidet
,
T.
Jagla
,
J. P.
Da Ponte
,
B.
Dastugue
, and
K.
Jagla
, “
Modifiers of muscle and heart cell fate specification identified by gain-of-function screen in Drosophila
,”
Mech. Dev.
120
(
9
),
991
1007
(
2003
).
74.
G.
Vogler
and
K.
Ocorr
, “
Visualizing the beating heart in Drosophila
,”
J. Visualized Exp.
31
,
e1425
(
2009
).
75.
K.
Ocorr
,
N. L.
Reeves
,
R. J.
Wessells
,
M.
Fink
,
H. S.
Chen
,
T.
Akasaka
,
S.
Yasuda
,
J. M.
Metzger
,
W.
Giles
,
J. W.
Posakony
, and
R.
Bodmer
, “
KCNQ potassium channel mutations cause cardiac arrhythmias in Drosophila that mimic the effects of aging
,”
Proc. Natl. Acad. Sci. U. S. A.
104
(
10
),
3943
3948
(
2007
).
76.
A. S.
Divakaruni
,
G. W.
Rogers
, and
A. N.
Murphy
, “
Measuring mitochondrial function in permeabilized cells using the seahorse XF analyzer or a Clark-type oxygen electrode
,”
Curr. Protoc. Toxicol.
60
(
1
),
25.2.1
25.2.16
(
2014
).

Supplementary Material