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Tam, B. T., Morais, J. A. & Santosa, S. Obesity and ageing: two sides of the identical coin. Obes. Rev. 21, e12991 (2020).
de Rezende, L. F., Rey-López, J. P., Matsudo, V. Ok. & do Carmo Luiz, O. Sedentary habits and well being outcomes amongst older adults: a scientific evaluation. BMC Public Health 14, 333 (2014).
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M. & Kroemer, G. The hallmarks of growing old. Cell 153, 1194–1217 (2013).
Horvath, S. et al. Obesity accelerates epigenetic growing old of human liver. Proc. Natl. Acad. Sci. USA 111, 15538–15543 (2014).
Maegawa, S. et al. Caloric restriction delays age-related methylation drift. Nat. Commun. 8, 539 (2017).
Kankaanpää, A. et al. Leisure-time and occupational bodily exercise associates otherwise with epigenetic growing old. Med. Sci. Sports Exerc. 53, 487–495 (2021).
Booth, F. W., Laye, M. J. & Roberts, M. D. Lifetime sedentary residing accelerates some points of secondary growing old. J. Appl. Physiol. 111, 1497–1504 (2011).
Kehler, D. S. & Theou, O. The impression of bodily exercise and sedentary behaviors on frailty ranges. Mech. Ageing Dev. 180, 29–41 (2019).
Gale, C. R. et al. The epigenetic clock and objectively measured sedentary and strolling habits in older adults: the Lothian Birth Cohort 1936. Clin. Epigenetics 10, 4 (2018).
de Cabo, R. & Mattson, M. P. Effects of intermittent fasting on well being, growing old, and illness. N. Engl. J. Med. 381, 2541–2551 (2019).
Pak, H. H. et al. Fasting drives the metabolic, molecular and geroprotective results of a calorie-restricted weight loss plan in mice. Nat. Metab. 3, 1327–1341 (2021).
Fitzgerald, Ok. N. et al. Potential reversal of epigenetic age utilizing a weight loss plan and way of life intervention: a pilot randomized scientific trial. Aging 13, 9419–9432 (2021).
Ekelund, U. et al. Does bodily exercise attenuate, and even get rid of, the detrimental affiliation of sitting time with mortality? A harmonised meta-analysis of knowledge from greater than 1 million women and men. Lancet 388, 1302–1310 (2016).
Madeo, F., Pietrocola, F., Eisenberg, T. & Kroemer, G. Caloric restriction mimetics: in direction of a molecular definition. Nat. Rev. Drug Discov. 13, 727–740 (2014).
Fahy, G. M. et al. Reversal of epigenetic growing old and immunosenescent tendencies in people. Aging Cell 18, e13028 (2019).
Moatt, J. P., Savola, E., Regan, J. C., Nussey, D. H. & Walling, C. A. Lifespan extension through dietary restriction: time to rethink the evolutionary mechanisms?. BioEssays 42, 1900241 (2020).
Briga, M. & Verhulst, S. What can long-lived mutants inform us about mechanisms inflicting growing old and lifespan variation in pure environments?. Exp. Gerontol. 71, 21–26 (2015).
McCracken, A. W., Adams, G., Hartshorne, L., Tatar, M. & Simons, M. J. P. The hidden prices of dietary restriction: Implications for its evolutionary and mechanistic origins. Sci. Adv. 6, eaay3047 (2020).
Valenzano, D. R., Aboobaker, A., Seluanov, A. & Gorbunova, V. Non-canonical growing old mannequin methods and why we want them. EMBO J 36, 959–963 (2017).
Phelan, J. P. & Rose, M. R. Why dietary restriction considerably will increase longevity in animal fashions however gained’t in people. Ageing Res. Rev. 4, 339–350 (2005).
Caccialanza, R., Aprile, G., Cereda, E. & Pedrazzoli, P. Fasting in oncology: a phrase of warning. Nat. Rev. Cancer 19, 177–177 (2019).
Most, J., Tosti, V., Redman, L. M. & Fontana, L. Calorie restriction in people: an replace. Ageing Res. Rev. 39, 36–45 (2017).
Mariath, A. B., Machado, A. D., Ferreira, L., do & Ribeiro, N. M. S. M. L. The attainable position of elevated consumption of ultra-processed meals merchandise within the growth of frailty: a menace for wholesome ageing?. Br. J. Nutr. 128, 461–466 (2022).
Nencioni, A., Caffa, I., Cortellino, S. & Longo, V. D. Fasting and most cancers: molecular mechanisms and scientific utility. Nat. Rev. Cancer 18, 707–719 (2018).
Groscolas, R. & Robin, J.-P. Long-term fasting and re-feeding in penguins. Comp. Biochem. Physiol. A. Mol. Integr. Physiol. 128, 643–653 (2001).
Bost, C. A. et al. Large-scale climatic anomalies have an effect on marine predator foraging behaviour and demography. Nat. Commun. 6, 8220 (2015).
Tidière, M. et al. Comparative analyses of longevity and senescence reveal variable survival advantages of residing in zoos throughout mammals. Sci. Rep. 6, 36361 (2016).
Lecorps, B., Weary, D. M. & von Keyserlingk, M. A. G. Captivity-induced despair in animals. Trends Cogn. Sci. 25, 539–541 (2021).
Fens, A. & Clauss, M. Nutrition as an integral a part of behavioural administration of zoo animals. J. Zoo Aquar. Res. 12, 196–204 (2024).
Tangili, M. et al. DNA methylation markers of age(ing) in non-model animals. Mol. Ecol. 32, 4725–4741 (2023).
Bell, C. G. et al. DNA methylation growing old clocks: challenges and suggestions. Genome Biol. 20, 249 (2019).
Vaisvila, R. et al. Enzymatic methyl sequencing detects DNA methylation at single-base decision from picograms of DNA. Genome Res. 31, 1280–1289 (2021).
Higgins-Chen, A. T. et al. A computational resolution for bolstering reliability of epigenetic clocks: implications for scientific trials and longitudinal monitoring. Nat. Aging 2, 644–661 (2022).
Snir, S., Farrell, C. & Pellegrini, M. Human epigenetic ageing is logarithmic with time throughout the whole lifespan. Epigenetics 14, 912–926 (2019).
Kaprio, J. et al. The Older Finnish Twin Cohort − 45 Years of Follow-up. Twin Res. Hum. Genet. Off. J. Int. Soc. Twin Stud. 22, 240–254 (2019).
Klopack, E. T., Carroll, J. E., Cole, S. W., Seeman, T. E. & Crimmins, E. M. Lifetime publicity to smoking, epigenetic growing old, and morbidity and mortality in older adults. Clin. Epigenetics 14, 72 (2022).
Perrier, F. et al. Identifying and correcting epigenetics measurements for systematic sources of variation. Clin. Epigenetics 10, 38 (2018).
Fabregat, A. et al. The Reactome Pathway Knowledgebase. Nucleic Acids Res. 46, D649–D655 (2018).
Liu, G. Y. & Sabatini, D. M. mTOR on the nexus of vitamin, progress, ageing and illness. Nat. Rev. Mol. Cell Biol. 21, 183–203 (2020).
Saxton, R. A. & Sabatini, D. M. mTOR signaling in progress, metabolism, and illness. Cell 168, 960–976 (2017).
Laplante, M. & Sabatini, D. M. mTOR signaling in progress management and illness. Cell 149, 274–293 (2012).
Green, C. L., Lamming, D. W. & Fontana, L. Molecular mechanisms of dietary restriction selling well being and longevity. Nat. Rev. Mol. Cell Biol. 23, 56–73 (2022).
Kaur, N. et al. Multi-organ FGF21-FGFR1 signaling in metabolic well being and illness. Front. Cardiovasc. Med. 9, 962561 (2022).
Zhang, M. et al. INPP4B protects from metabolic syndrome and related issues. Commun. Biol. 4, 1–15 (2021).
Newberry, M., Stec, D. E., Hildebrandt, E., Stec, D. F. & Drummond, H. A. Mice missing ASIC2 and βENaC are shielded from excessive fats dietinduced metabolic syndrome. Front. Endocrinol. 15, 1449344 (2024).
Lee, C. F., Nizami, H., Gu, H. & Light, C. SARM1 NAD hydrolase deficiency normalizes fibrosis and ameliorates cardiac dysfunction in diabetic hearts. FASEB J. 36, S1 (2022).
Pan, Z.-G. & An, X.-S. SARM1 deletion restrains NAFLD induced by excessive fats weight loss plan (HFD) by decreasing irritation, oxidative stress and lipid accumulation. Biochem. Biophys. Res. Commun. 498, 416–423 (2018).
Fox, F. A. U., Liu, D., Breteler, M. M. B. & Aziz, N. A. Physical exercise is related to slower epigenetic ageing—Findings from the Rhineland examine. Aging Cell 22, e13828 (2023).
Verweij, N., van de Vegte, Y. J. & van der Harst, P. Genetic examine hyperlinks parts of the autonomous nervous system to heart-rate profile throughout train. Nat. Commun. 9, 898 (2018).
Lu, A. T. et al. Universal DNA methylation age throughout mammalian tissues. Nat. Aging 3, 1144–1166 (2023).
Raclot, T., Groscolas, R. & Cherel, Y. Fatty acid proof for the significance of myctophid fishes within the weight loss plan of king penguins, Aptenodytes patagonicus. Mar. Biol. 132, 523–533 (1998).
Watkeys, O. J., Kremerskothen, Ok., Quidé, Y., Fullerton, J. M. & Green, M. J. Glucocorticoid receptor gene (NR3C1) DNA methylation in affiliation with trauma, psychopathology, transcript expression, or genotypic variation: a scientific evaluation. Neurosci. Biobehav. Rev. 95, 85–122 (2018).
Ruiz-Raya, F., Noguera, J. C. & Velando, A. Covariation between glucocorticoid ranges and receptor expression modulates embryo growth and postnatal phenotypes in gulls. Horm. Behav. 149, 105316 (2023).
Michael, A. Ok. et al. Cancer/testis antigen PASD1 silences the circadian clock. Mol. Cell 58, 743–754 (2015).
Bishehsari, F., Voigt, R. M. & Keshavarzian, A. Circadian rhythms and the intestine microbiota: from the metabolic syndrome to most cancers. Nat. Rev. Endocrinol. 16, 731–739 (2020).
Lindner, M. et al. Temporal modifications in DNA methylation and RNA expression in a small track fowl: within- and between-tissue comparisons. BMC Genomics 22, 36 (2021).
Bardon, G. et al. RFIDeep: unfolding the potential of deep studying for radio-frequency identification. Methods Ecol. Evol. 14, 2814–2826 (2023).
Schweizer, S., Stoll, P., Houwald, F. von & Baur, B. King penguins in zoos: relating breeding success to husbandry practices. J. Zoo Aquar. Res. 4, 91–98 (2016).
Grover, S. A. et al. Years of life misplaced and wholesome life-years misplaced from diabetes and heart problems in obese and overweight individuals: a modelling examine. Lancet Diabetes Endocrinol. 3, 114–122 (2015).
Zhou, J. et al. BCREval: a computational technique to estimate the bisulfite conversion ratio in WGBS. BMC Bioinformatics 21, 38 (2020).
Farrell, C., Thompson, M., Tosevska, A., Oyetunde, A. & Pellegrini, M. BiSulfite bolt: a bisulfite sequencing evaluation platform. GigaScience 10, giab033 (2021).
Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).
Laurent, L. et al. Dynamic modifications within the human methylome throughout differentiation. Genome Res. 20, 320–331 (2010).
Hoff, Ok., Lomsadze, A., Borodovsky, M. & Stanke, M. Whole-genome annotation with BRAKER. Methods Mol. Biol. Clifton NJ 1962, 65–95 (2019).
Paris, J. R. et al. Gene Expression Shifts in Emperor Penguin Adaptation to the Extreme Antarctic Environment. Mol. Ecol. 34, e17552 (2025).
Kim, D., Paggi, J. M., Park, C., Bennett, C. & Salzberg, S. L. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat. Biotechnol. 37, 907–915 (2019).
Kuznetsov, D. et al. OrthoDB v11: annotation of orthologs within the widest sampling of organismal variety. Nucleic Acids Res. 51, D445–D451 (2023).
Hackenberg, M. et al. CpGcluster: a distance-based algorithm for CpG-island detection. BMC Bioinformatics 7, 446 (2006).
Camacho, C. et al. BLAST+: structure and purposes. BMC Bioinformatics 10, 421 (2009).
Akalin, A. et al. methylKit: a complete R bundle for the evaluation of genome-wide DNA methylation profiles. Genome Biol. 13, R87 (2012).
Friedman, J. H., Hastie, T. & Tibshirani, R. Regularization paths for generalized linear fashions through coordinate descent. J. Stat. Softw. 33, 1–22 (2010).
Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects fashions utilizing lme4. J. Stat. Softw. 67, 1–48 (2015).
Jühling, F. et al. metilene: quick and delicate calling of differentially methylated areas from bisulfite sequencing knowledge. Genome Res. 26, 256 (2016).
Piao, Y., Xu, W., Park, Ok. H., Ryu, Ok. H. & Xiang, R. Comprehensive analysis of differential methylation evaluation strategies for bisulfite sequencing knowledge. Int. J. Environ. Res. Public. Health 18, 7975 (2021).
Brooks, M. E. et al. glmmTMB balances pace and suppleness amongst packages for zero-inflated generalized linear combined modeling. R J 9, 378–400 (2017).
Ben-Ari Fuchs, S. et al. GeneAnalytics: an integrative gene set evaluation software for subsequent technology sequencing, RNAseq and microarray knowledge. Omics J. Integr. Biol. 20, 139–151 (2016).
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