Cited by 214

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Restoration of energy homeostasis by SIRT6 extends healthy lifespan

Roichman, A., Elhanati, S., Aon, M. A., Abramovich, I., Di Francesco, A., Shahar, Y., Avivi, M. Y., Shurgi, M., Rubinstein, A., Wiesner, Y., Shuchami, A., Petrover, Z., Lebenthal-Loinger, I., Yaron, O., Lyashkov, A., Ubaida-Mohien, C., Kanfi, Y., Lerrer, B., Fernández-Marcos, P. J., Serrano, M., Gottlieb, E., de Cabo, R., Cohen, H. Y.·2021·Nature Communications

Abstract

Aging leads to a gradual decline in physical activity and disrupted energy homeostasis. The NAD + -dependent SIRT6 deacylase regulates aging and metabolism through mechanisms that largely remain unknown. Here, we show that SIRT6 overexpression leads to a reduction in frailty and lifespan extension in both male and female B6 mice. A combination of physiological assays, in vivo multi-omics analyses and 13 C lactate tracing identified an age-dependent decline in glucose homeostasis and hepatic glucose output in wild type mice. In contrast, aged SIRT6-transgenic mice preserve hepatic glucose output and glucose homeostasis through an improvement in the utilization of two major gluconeogenic precursors, lactate and glycerol. To mediate these changes, mechanistically, SIRT6 increases hepatic gluconeogenic gene expression, de novo NAD + synthesis, and systemically enhances glycerol release from adipose tissue. These findings show that SIRT6 optimizes energy homeostasis in old age to delay frailty and preserve healthy aging.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-021-23545-7

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 20 references

Research works printed but not linked: 70

  1. Partridge, L., Deelen, J. & Slagboom, P. E. Facing up to the global challenges of ageing. Nature 561, 45–56 (2018). · DOI · Paper page
  2. Osborne, T. B., Mendel, L. B. & Ferry, E. L. The effect of retardation of growth upon the breeding period and duration of life of rats. Science 45, 294–295 (1917). · DOI
  3. Di Francesco, A., Di Germanio, C., Bernier, M. & de Cabo, R. A time to fast. Science 362, 770–775 (2018). · DOI
  4. Bratic, I. & Trifunovic, A. Mitochondrial energy metabolism and ageing. Biochim. Biophys. Acta 1797, 961–967 (2010). · DOI
  5. Wilson, C. H. et al. Age-related proteostasis and metabolic alterations in Caspase-2-deficient mice. Cell Death Dis. 6, e1615–e1615 (2015). · DOI
  6. Ruetenik, A. & Barrientos, A. Dietary restriction, mitochondrial function and aging: from yeast to humans. Biochim. Biophys. Acta 1847, 1434–1447 (2015). · DOI · Paper page
  7. Rothman, D., Magnusson, I., Katz, L., Shulman, R. & Shulman, G. Quantitation of hepatic glycogenolysis and gluconeogenesis in fasting humans with 13C NMR. Science 254, 573–576 (1991). · DOI · Paper page
  8. Petersen, M. C., Vatner, D. F. & Shulman, G. I. Regulation of hepatic glucose metabolism in health and disease. Nat. Rev. Endocrinol. 13, 572–587 (2017). · DOI
  9. Satrústegui, J., Cuezva, J. M. & Machado, A. Increased basal gluconeogenesis in the aged rat.FEBS Lett. 197, 159–163 (1986). · DOI
  10. Sumida, K. D., Crandall, S. C., Chadha, P. L. & Qureshi, T. Hepatic gluconeogenic capacity from various precursors in young versus old rats. Metabolism 51, 876–880 (2002). · DOI
  11. Horn, D. B., Podolin, D. A., Friedman, J. E., Scholnick, D. A. & Mazzeo, R. S. Alterations in key gluconeogenic regulators with age and endurance training. Metabolism 46, 414–419 (1997). · DOI
  12. Podolin, D. A., Gleeson, T. T. & Mazzeo, R. S. Hormonal regulation of hepatic gluconeogenesis: influence of age and training. Am. J. Physiol. 270, R365–R372 (1996).
  13. Guarente, L. Sirtuins: methods and protocols. In Methods in Molecular Biology Vol. 1077 (ed. Hirschey, M.D.) (Humana Press, 2013).
  14. Kanfi, Y. et al. Regulation of SIRT1 protein levels by nutrient availability. FEBS Lett. 582, 2417–2423 (2008). · DOI
  15. Kanfi, Y. et al. Regulation of SIRT6 protein levels by nutrient availability. FEBS Lett. 582, 543–548 (2008). · DOI
  16. Cohen, H. Y. Calorie restriction promotes mammalian cell survival by inducing the SIRT1 deacetylase. Science 305, 390–392 (2004). · DOI · Paper page
  17. Cheng, H.-L. et al. Developmental defects and p53 hyperacetylation in Sir2 homolog (SIRT1)-deficient mice. Proc. Natl Acad. Sci. USA 100, 10794–10799 (2003). · DOI · Paper page
  18. McBurney, M. W. et al. The mammalian SIR2 protein has a role in embryogenesis and gametogenesis. Mol. Cell. Biol. 23, 38–54 (2003). · DOI · Paper page
  19. Mostoslavsky, R. et al. Genomic instability and aging-like phenotype in the absence of mammalian SIRT6. Cell 124, 315–329 (2006). · DOI · Paper page
  20. Naiman, S. & Cohen, H. Y. Role for the longevity protein SIRT6 in primate development. Nature 560, 559–560 (2018). · DOI
  21. Satoh, A. et al. Sirt1 extends life span and delays aging in mice through the regulation of Nk2 homeobox 1 in the DMH and LH. Cell Metab. 18, 416–430 (2013). · DOI
  22. Roichman, A. et al. SIRT6 overexpression improves various aspects of mouse healthspan. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 72, 603–615 (2017).
  23. Kugel, S. & Mostoslavsky, R. Chromatin and beyond: the multitasking roles for SIRT6. Trends Biochem. Sci. 39, 72–81 (2014). · DOI
  24. Zhong, L. et al. The histone deacetylase Sirt6 regulates glucose homeostasis via Hif1alpha. Cell 140, 280–293 (2010). · DOI · Paper page
  25. Kim, H. et al. Hepatic-specific disruption of SIRT6 in mice results in fatty liver formation due to enhanced glycolysis and triglyceride synthesis. Cell Metab. 12, 224–236 (2010). · DOI
  26. Naiman, S. et al. SIRT6 promotes hepatic beta-oxidation via activation of PPARα. Cell Rep. 29, 4127–4143.e8 (2019). · DOI
  27. Dominy, J. E. et al. The deacetylase Sirt6 activates the acetyltransferase GCN5 and suppresses hepatic gluconeogenesis. Mol. Cell 48, 900–913 (2012). · DOI
  28. Zhang, P. et al. Tumor suppressor p53 cooperates with SIRT6 to regulate gluconeogenesis by promoting FoxO1 nuclear exclusion. Proc. Natl Acad. Sci. USA 111, 10684–10689 (2014). · DOI
  29. Harris, T. B. et al. Changes in weight at the end of life: characterizing weight loss by time to death in a cohort study of older men. Am. J. Epidemiol. 172, 558–565 (2010). · DOI
  30. Guo, W., Li, M. & Bhasin, S. Testosterone supplementation improves anemia in aging male mice. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 69A, 505–513 (2014). · DOI
  31. Goodnough, L. T. & Schrier, S. L. Evaluation and management of anemia in the elderly. Am. J. Hematol. 89, 88–96 (2014). · DOI
  32. López-Otín, C., Galluzzi, L., Freije, J. M. P., Madeo, F. & Kroemer, G. Metabolic control of longevity. Cell 166, 802–821 (2016). · DOI · Paper page
  33. Liu, H., Graber, T. G., Ferguson-Stegall, L. & Thompson, L. V. Clinically relevant frailty index for mice. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 69, 1485–1491 (2014). · DOI
  34. Rui, L. Energy metabolism in the liver.Compr. Physiol. 4, 177–197 (2014). · DOI
  35. Rush, M. J. P. et al. Caloric restriction engages hepatic RNA processing mechanisms in rhesus monkeys. Cell Metab. 27, 677–688.e5 (2018). · DOI
  36. Tomaru, U. et al. Decreased proteasomal activity causes age-related phenotypes and promotes the development of metabolic abnormalities. Am. J. Pathol. 180, 963–972 (2012). · DOI · Paper page
  37. Nguyen, N. N. et al. Proteasome β5 subunit overexpression improves proteostasis during aging and extends lifespan in Drosophila melanogaster. Sci. Rep. 9, 3170 (2019). · DOI
  38. Iacobazzi, V. & Infantino, V. Citrate – new functions for an old metabolite. Biol. Chem. 395, 387–399 (2014). · DOI
  39. Honda, Y., Tanaka, M. & Honda, S. Trehalose extends longevity in the nematode Caenorhabditis elegans. Aging Cell 9, 558–569 (2010). · DOI
  40. Hui, S. et al. Glucose feeds the TCA cycle via circulating lactate. Nature 551, 115–118 (2017). · DOI · Paper page
  41. Williamson, D. H., Lund, P. & Krebs, H. A. The redox state of free nicotinamide-adenine dinucleotide in the cytoplasm and mitochondria of rat liver. Biochem. J. 103, 514–527 (1967). · DOI · Paper page
  42. Chen, X., Iqbal, N. & Boden, G. The effects of free fatty acids on gluconeogenesis and glycogenolysis in normal subjects. J. Clin. Invest. 103, 365–372 (1999). · DOI · Paper page
  43. Kirkwood, T. B. L. & Austad, S. N. Why do we age? Nature 408, 233–238 (2000). · DOI · Paper page
  44. Xiong, X. et al. Fabp4-Cre-mediated Sirt6 deletion impairs adipose tissue function and metabolic homeostasis in mice. J. Endocrinol. 233, 307–314 (2017). · DOI
  45. Kuang, J. et al. Fat-specific Sirt6 ablation sensitizes mice to high-fat diet-induced obesity and insulin resistance by inhibiting lipolysis. Diabetes 66, 1159–1171 (2017). · DOI
  46. Yao, L. et al. Cold-inducible SIRT6 regulates thermogenesis of brown and beige fat. Cell Rep. 20, 641–654 (2017). · DOI
  47. Hagopian, K. Caloric restriction increases gluconeogenic and transaminase enzyme activities in mouse liver. Exp. Gerontol. 38, 267–278 (2003). · DOI
  48. Selman, C. et al. Coordinated multitissue transcriptional and plasma metabonomic profiles following acute caloric restriction in mice. Physiol. Genomics 27, 187–200 (2006). · DOI
  49. Exton, J. H. Gluconeogenesis. Metabolism 21, 945–990 (1972). · DOI
  50. Brooks, G. A. The precious few grams of glucose during exercise. Int. J. Mol. Sci. 21, 1–19 (2020). · DOI
  51. Korol, D. L. & Gold, P. E. Glucose, memory, and aging. Am. J. Clin. Nutr. 67, 764S–771S (1998). · DOI
  52. Spindler, S. R. Calorie restriction enhances the expression of key metabolic enzymes associated with protein renewal during aging. Ann. NY Acad. Sci. 928, 296–304 (2006). · DOI
  53. Yuan, Y. et al. Enhanced energy metabolism contributes to the extended life span of calorie-restricted Caenorhabditis elegans. J. Biol. Chem. 287, 31414–31426 (2012). · DOI
  54. Yuan, Y. et al. Reciprocal changes in phosphoenolpyruvate carboxykinase and pyruvate kinase with age are a determinant of aging in Caenorhabditis elegans. J. Biol. Chem. 291, 1307–1319 (2016). · DOI
  55. Baker, E. J., Miles, E. A., Burdge, G. C., Yaqoob, P. & Calder, P. C. Metabolism and functional effects of plant-derived omega-3 fatty acids in humans. Prog. Lipid Res. 64, 30–56 (2016). · DOI
  56. Gubbels Bupp, M. R. Sex, the aging immune system, and chronic disease. Cell. Immunol. 294, 102–110 (2015). · DOI
  57. Fiehn, O. et al. Quality control for plant metabolomics: reporting MSI-compliant studies. Plant J. 53, 691–704 (2008). · DOI
  58. Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21 (2013). · DOI · Paper page
  59. Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014). · DOI · Paper page
  60. Krämer, A., Green, J., Pollard, J. & Tugendreich, S. Causal analysis approaches in Ingenuity Pathway Analysis. Bioinformatics 30, 523–530 (2014). · DOI · Paper page
  61. Mackay, G.M., Zheng, L., van den Broek, N.J.F. & Gottlieb, E. Analysis of cell metabolism using LC-MS and isotope tracers.Methods Enzymol. 561, 171–196 (2015). · DOI
  62. Wessel, D. & Flügge, U. I. A method for the quantitative recovery of protein in dilute solution in the presence of detergents and lipids. Anal. Biochem. 138, 141–143 (1984). · DOI
  63. Wang, Y. et al. Reversed-phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells. Proteomics 11, 2019–2026 (2011). · DOI
  64. Keller, A., Nesvizhskii, A. I., Kolker, E. & Aebersold, R. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. Anal. Chem. 74, 5383–5392 (2002). · DOI
  65. Nesvizhskii, A. I., Keller, A., Kolker, E. & Aebersold, R. A statistical model for identifying proteins by tandem mass spectrometry. Anal. Chem. 75, 4646–4658 (2003). · DOI
  66. Herbrich, S. M. et al. Statistical inference from multiple iTRAQ experiments without using common reference standards. J. Proteome Res. 12, 594–604 (2013). · DOI
  67. Kammers, K., Cole, R. N., Tiengwe, C. & Ruczinski, I. Detecting significant changes in protein abundance. EuPA Open Proteom. 7, 11–19 (2015). · DOI
  68. Hayter, A. J. The maximum familywise error rate of Fisher’s least significant difference test. J. Am. Stat. Assoc. 81, 1000–1004 (1986). · DOI
  69. Chong, J. et al. MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis. Nucleic Acids Res. 46, W486–W494 (2018). · DOI
  70. Perez-Riverol, Y. et al. The PRIDE database and related tools and resources in 2019: improving support for quantification data. Nucleic Acids Res. 47, D442–D450 (2019). · DOI

Cited by

Sorted by citations

See all 214

Metadata

Authors
Roichman, A., Elhanati, S., Aon, M. A., Abramovich, I., Di Francesco, A., Shahar, Y., Avivi, M. Y., Shurgi, M., Rubinstein, A., Wiesner, Y., Shuchami, A., Petrover, Z., Lebenthal-Loinger, I., Yaron, O., Lyashkov, A., Ubaida-Mohien, C., Kanfi, Y., Lerrer, B., Fernández-Marcos, P. J., Serrano, M., Gottlieb, E., de Cabo, R., & Cohen, H. Y.
Venue
Nature Communications
Published
2021-05-28
Volume
12
Issue
1
ISSN
2041-1723
Cited by
214
References
20
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review