Healthy aging and muscle function are positively associated with NAD+ abundance in humans
Open accessAbstract
Skeletal muscle is greatly affected by aging, resulting in a loss of metabolic and physical function. However, the underlying molecular processes and how (lack of) physical activity is involved in age-related metabolic decline in muscle function in humans is largely unknown. Here, we compared, in a cross-sectional study, the muscle metabolome from young to older adults, whereby the older adults were exercise trained, had normal physical activity levels or were physically impaired. Nicotinamide adenine dinucleotide (NAD+) was one of the most prominent metabolites that was lower in older adults, in line with preclinical models. This lower level was even more pronounced in impaired older individuals, and conversely, exercise-trained older individuals had NAD+ levels that were more similar to those found in younger individuals. NAD+ abundance positively correlated with average number of steps per day and mitochondrial and muscle functioning. Our work suggests that a clear association exists between NAD+ and health status in human aging.
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.
Integrity signals
Registry
Cites
Statistics
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.
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?
Mitochondrial dysfunction and low NAD+ levels are hallmarks of skeletal muscle ageing and sarcopenia.
“Mitochondrial dysfunction and low nicotinamide adenine dinucleotide (NAD+) levels are hallmarks of skeletal muscle ageing and sarcopenia1–3”
From Trigonelline Is an NAD+ Precursor That Improves Muscle Function during Ageing and Is Reduced in Human Sarcopenia (2024) · cites this paper as [2]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
Frailty in Older Adults: Evidence for a Phenotype
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.3.m146 · Cited by 24,907 · see citing works
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982 · see citing works
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, R., Carey, V., Bates, D., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome Biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 13,133 · see citing works
Guralnik, J. M., Simonsick, E. M., Ferrucci, L., Glynn, R. J., Berkman, L. F., Blazer, D. G., Scherr, P. A., & Wallace, R. B. (1994) · Journal of Gerontology · doi:10.1093/geronj/49.2.m85 · Cited by 9,792 · see citing works
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Law, C. W., Chen, Y., Shi, W., & Smyth, G. K. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r29 · Cited by 6,155 · see citing works
New methods for calculating metabolic rate with special reference to protein metabolism
Weir, J. B. D. V. (1949) · The Journal of Physiology · doi:10.1113/jphysiol.1949.sp004363 · Cited by 5,608 · see citing works
Wickham, H. (2011) · Wiley Interdisciplinary Reviews Computational Statistics · doi:10.1002/wics.147 · Cited by 4,340 · see citing works
mixOmics: An R package for ‘omics feature selection and multiple data integration
Rohart, F., Gautier, B., Singh, A., & Lê Cao, K.-A. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005752 · Cited by 4,056 · see citing works
Janssen, I., Heymsfield, S. B., & Ross, R. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50216.x · Cited by 3,139 · see citing works
Ageing as a Risk Factor for Disease
Niccoli, T., & Partridge, L. (2012) · Current Biology · doi:10.1016/j.cub.2012.07.024 · Cited by 1,831 · see citing works
Diet, muscle glycogen and physical performance.
Bergström, J., Hermansen, L., Hultman, E., & Saltin, B. (1967) · Acta Physiologica Scandinavica · doi:10.1111/j.1748-1716.1967.tb03720.x · Cited by 1,740 · see citing works
Gomes, A. P., Price, N. L., Ling, A. J. Y., Moslehi, J. J., Montgomery, M. K., Rajman, L., White, J. P., Teodoro, J. S., Wrann, C. D., Hubbard, B. P., et al. (2013) · Cell · doi:10.1016/j.cell.2013.11.037 · Cited by 1,482 · see citing works
Yoshino, J., Mills, K. F., Yoon, M. J., & Imai, S.-I. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.08.014 · Cited by 1,340 · see citing works
Zhang, H., Ryu, D., Wu, Y., Gariani, K., Wang, X., Luan, P., D’Amico, D., Ropelle, E. R., Lutolf, M. P., Aebersold, R., et al. (2016) · Science · doi:10.1126/science.aaf2693 · Cited by 1,255 · see citing works
Cantó, C., Houtkooper, R. H., Pirinen, E., Youn, D. Y., Oosterveer, M. H., Cen, Y., Fernandez-Marcos, P. J., Yamamoto, H., Andreux, P. A., Cettour-Rose, P., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.04.022 · Cited by 1,238 · see citing works
Self-citationMouchiroud, L., Houtkooper, R. H., Moullan, N., Katsyuba, E., Ryu, D., Cantó, C., Mottis, A., Jo, Y.-S., Viswanathan, M., Schoonjans, K., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.016 · Cited by 1,210 · see citing works
Self-citationSalomon, J. A., Wang, H., Freeman, M. K., Vos, T., Flaxman, A. D., Lopez, A. D., & Murray, C. J. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61690-0 · Cited by 1,116 · see citing works
How many steps/day are enough? for adults
Tudor-Locke, C., Craig, C. L., Brown, W. J., Clemes, S. A., De Cocker, K., Giles-Corti, B., Hatano, Y., Inoue, S., Matsudo, S. M., Mutrie, N., et al. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-79 · Cited by 1,087 · see citing works
Mills, K. F., Yoshida, S., Stein, L. R., Grozio, A., Kubota, S., Sasaki, Y., Redpath, P., Migaud, M. E., Apte, R. S., Uchida, K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.09.013 · Cited by 930 · see citing works
Therapeutic Potential of NAD-Boosting Molecules: The In Vivo Evidence
Rajman, L., Chwalek, K., & Sinclair, D. A. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.02.011 · Cited by 865 · see citing works
Soga, T., Baran, R., Suematsu, M., Ueno, Y., Ikeda, S., Sakurakawa, T., Kakazu, Y., Ishikawa, T., Robert, M., Nishioka, T., et al. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m601876200 · Cited by 740 · see citing works
Talbot, L. A., Musiol, R. J., Witham, E. K., & Metter, E. J. (2005) · BMC Public Health · doi:10.1186/1471-2458-5-86 · Cited by 654 · see citing works
Enhancing mitochondrial proteostasis reduces amyloid-β proteotoxicity
Sorrentino, V., Romani, M., Mouchiroud, L., Beck, J. S., Zhang, H., D’Amico, D., Moullan, N., Potenza, F., Schmid, A. W., Rietsch, S., et al. (2017) · Nature · doi:10.1038/nature25143 · Cited by 630 · see citing works
Age-Associated Changes In Oxidative Stress and NAD+ Metabolism In Human Tissue
Massudi, H., Grant, R., Braidy, N., Guest, J., Farnsworth, B., & Guillemin, G. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042357 · Cited by 545 · see citing works
The metabolic footprint of aging in mice
Houtkooper, R. H., Argmann, C., Houten, S. M., Cantó, C., Jeninga, E. H., Andreux, P. A., Thomas, C., Doenlen, R., Schoonjans, K., & Auwerx, J. (2011) · Scientific Reports · doi:10.1038/srep00134 · Cited by 528 · see citing works
Self-citationPatients with type 2 diabetes have normal mitochondrial function in skeletal muscle
Boushel, R., Gnaiger, E., Schjerling, P., Skovbro, M., Kraunsøe, R., & Dela, F. (2007) · Diabetologia · doi:10.1007/s00125-007-0594-3 · Cited by 519 · see citing works
Revisiting "How Many Steps Are Enough?"
Tudor-Locke, C. E., Hatano, Y., Pangrazi, R. P., & Kang, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31817c7133 · Cited by 511 · see citing works
Calder, P. C., Bosco, N., Bourdet‐Sicard, R., Capuron, L., Delzenne, N. M., Dore, J. M., Franceschi, C., Lehtinen, M. J., Recker, T., Salvioli, S., et al. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.09.001 · Cited by 498 · see citing works
Exercise Promotes Healthy Aging of Skeletal Muscle
Cartee, G. D., Hepple, R. T., Bamman, M. M., & Zierath, J. R. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.05.007 · Cited by 483 · see citing works
Zhu, X.-H., Lu, M., Lee, B.-Y., Ugurbil, K., & Chen, W. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1417921112 · Cited by 468 · see citing works
Sarcopenia and its implications for the elderly
Roubenoff, R. (2000) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601024 · Cited by 448 · see citing works
Elhassan, Y. S., Kluckova, K., Fletcher, R. S., Schmidt, M. S., Garten, A., Doig, C. L., Cartwright, D. M., Oakey, L., Burley, C. V., Jenkinson, N., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.07.043 · Cited by 448 · see citing works
Nicotinamide mononucleotide increases muscle insulin sensitivity in prediabetic women
Yoshino, M., Yoshino, J., Kayser, B. D., Patti, G. J., Franczyk, M. P., Mills, K. F., Sindelar, M., Pietka, T., Patterson, B. W., Imai, S.-I., et al. (2021) · Science · doi:10.1126/science.abe9985 · Cited by 439 · see citing works
Wirthgen, E., Hoeflich, A., Rebl, A., & Günther, J. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01957 · Cited by 381 · see citing works
Tryptophan Metabolism in Inflammaging: From Biomarker to Therapeutic Target
Sorgdrager, F. J. H., Naudé, P. J. W., Kema, I. P., Nollen, E. A. A., & Deyn, P. P. D. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02565 · Cited by 372 · see citing works
Migliavacca, E., Tay, S. K. H., Patel, H. P., Sonntag, T., Civiletto, G., McFarlane, C., Forrester, T., Barton, S. J., Leow, M. K., Antoun, E., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13694-1 · Cited by 365 · see citing works
Phielix, E., Schrauwen-Hinderling, V. B., Mensink, M., Lenaers, E., Meex, R., Hoeks, J., Kooi, M. E., Moonen-Kornips, E., Sels, J.-P., Hesselink, M. K. C., et al. (2008) · Diabetes · doi:10.2337/db08-0391 · Cited by 359 · see citing works
Self-citationSchrauwen-Hinderling, V. B., Kooi, M. E., Hesselink, M. K. C., Jeneson, J. A. L., Backes, W. H., van Echteld, C. J. A., van Engelshoven, J. M. A., Mensink, M., & Schrauwen, P. (2007) · Diabetologia · doi:10.1007/s00125-006-0475-1 · Cited by 304 · see citing works
Self-citationGrevendonk, L., Connell, N. J., McCrum, C., Fealy, C. E., Bilet, L., Bruls, Y. M. H., Mevenkamp, J., Schrauwen-Hinderling, V. B., Jörgensen, J. A., Moonen-Kornips, E., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24956-2 · Cited by 298 · see citing works
Self-citationSkeletal muscle NAMPT is induced by exercise in humans
Costford, S. R., Bajpeyi, S., Pasarica, M., Albarado, D. C., Thomas, S. C., Xie, H., Church, T. S., Jubrias, S. A., Conley, K. E., & Smith, S. R. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00318.2009 · Cited by 297 · see citing works
Enhanced Respiratory Chain Supercomplex Formation in Response to Exercise in Human Skeletal Muscle
Greggio, C., Jha, P., Kulkarni, S. S., Lagarrigue, S., Broskey, N. T., Boutant, M., Wang, X., Conde Alonso, S., Ofori, E., Auwerx, J., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.11.004 · Cited by 286 · see citing works
Pirinen, E., Auranen, M., Khan, N. A., Brilhante, V., Urho, N., Pessia, A., Hakkarainen, A., Kuula, J., Heinonen, U., Schmidt, M. S., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.04.008 · Cited by 279 · see citing works
Phosphoribosyl Diphosphate (PRPP): Biosynthesis, Enzymology, Utilization, and Metabolic Significance
Hove‐Jensen, B., Andersen, K. R., Kilstrup, M., Martinussen, J., Switzer, R. L., & Willemoës, M. (2016) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00040-16 · Cited by 263 · see citing works
Ferrucci, L., Giallauria, F., & Guralnik, J. M. (2008) · Radiologic Clinics of North America · doi:10.1016/j.rcl.2008.07.005 · Cited by 249 · see citing works
Aging and microRNA expression in human skeletal muscle: a microarray and bioinformatics analysis
Drummond, M. J., McCarthy, J. J., Sinha, M., Spratt, H. M., Volpi, E., Esser, K. A., & Rasmussen, B. B. (2010) · Physiological Genomics · doi:10.1152/physiolgenomics.00148.2010 · Cited by 233 · see citing works
Physical inactivity and obesity underlie the insulin resistance of aging
Amati, F., Dubé, J. J., Coen, P. M., Stefanovic-Racic, M., Toledo, F. G. S., & Goodpaster, B. H. (2009) · Diabetes Care · doi:10.2337/dc09-0267 · Cited by 230 · see citing works
Demonstration of a day-night rhythm in human skeletal muscle oxidative capacity
van Moorsel, D., Hansen, J., Havekes, B., Scheer, F. A. J. L., Jörgensen, J. A., Hoeks, J., Schrauwen-Hinderling, V. B., Duez, H., Lefebvre, P., Schaper, N. C., et al. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.06.012 · Cited by 218 · see citing works
Self-citationDistéfano, G., Standley, R. A., Zhang, X., Carnero, E. Á., Yi, F., Cornnell, H. H., & Coen, P. M. (2018) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12272 · Cited by 176 · see citing works
Long-Term High-Level Exercise Promotes Muscle Reinnervation With Age
Mosole, S., Carraro, U., Kern, H., Löefler, S., Fruhmann, H., Vogelauer, M., Burggraf, S., Mayr, W., Krenn, M. J., Paternostro‐Sluga, T., et al. (2014) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0000000000000032 · Cited by 174 · see citing works
New model of health promotion and disease prevention for the 21st century
Butler, R. N., Miller, R. A., Perry, D. P., Carnes, B. A., Williams, T. F., Cassel, C. K., Brody, J. A., Bernard, M., Partridge, L., Kirkwood, T. B. L., et al. (2008) · BMJ · doi:10.1136/bmj.a399 · Cited by 162 · see citing works
Pathophysiological relevance of mitochondria in NAD+ metabolism
Lisa, F. D., & Ziegler, M. (2001) · FEBS Letters · doi:10.1016/s0014-5793(01)02198-6 · Cited by 161 · see citing works
Remie, C. M., Roumans, K. H., Moonen, M. P., Connell, N. J., Havekes, B., Mevenkamp, J., Lindeboom, L., de Wit, V. H., van de Weijer, T., Aarts, S. A., et al. (2020) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa072 · Cited by 160 · see citing works
Self-citationHoeks, J., van Herpen, N. A., Mensink, M., Moonen-Kornips, E., van Beurden, D., Hesselink, M. K. C., & Schrauwen, P. (2010) · Diabetes · doi:10.2337/db10-0519 · Cited by 156 · see citing works
Self-citationTipping the metabolic scales towards increased longevity in mammals
Riera, C. E., & Dillin, A. (2015) · Nature Cell Biology · doi:10.1038/ncb3107 · Cited by 153 · see citing works
Mechanical Muscle Function, Morphology, and Fiber Type in Lifelong Trained Elderly
Aagaard, P., Magnusson, S. P., Larsson, B., Kjær, M., & Krustrup, P. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31814fb402 · Cited by 149 · see citing works
Rivas, D. A., Lessard, S. J., Rice, N. P., Lustgarten, M. S., So, K., Goodyear, L. J., Parnell, L. D., & Fielding, R. A. (2014) · The FASEB Journal · doi:10.1096/fj.14-254490 · Cited by 148 · see citing works
Agudelo, L. Z., Ferreira, D. M. S., Dadvar, S., Červenka, I., Ketscher, L., Izadi, M., Zhengye, L., Furrer, R., Handschin, C., Venckūnas, T., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10712-0 · Cited by 128 · see citing works
A Conserved Mito-Cytosolic Translational Balance Links Two Longevity Pathways
Molenaars, M., Janssens, G. E., Williams, E. G., Jongejan, A., Lan, J., Rabot, S., Joly, F., Moerland, P. D., Schomakers, B. V., Lezzerini, M., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.01.011 · Cited by 120 · see citing works
Self-citationMetabolomic Analysis of Skeletal Muscle in Aged Mice
Uchitomi, R., Hatazawa, Y., Senoo, N., Yoshioka, K., Fujita, M., Shimizu, T., Miura, S., Ono, Y., & Kamei, Y. (2019) · Scientific Reports · doi:10.1038/s41598-019-46929-8 · Cited by 119 · see citing works
Perraud, A., Shen, B. W., Dunn, C., Rippe, K., Smith, M., Bessman, M. J., Stoddard, B. L., & Scharenberg, A. M. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m205601200 · Cited by 116 · see citing works
Identifying waking time in 24-h accelerometry data in adults using an automated algorithm
van der Berg, J. D., Willems, P. J. B., van der Velde, J. H. P. M., Savelberg, H. H. C. M., Schaper, N. C., Schram, M. T., Sep, S. J. S., Dagnelie, P. C., Bosma, H., Stehouwer, C. D. A., et al. (2016) · Journal of Sports Sciences · doi:10.1080/02640414.2016.1140908 · Cited by 112 · see citing works
Kepplinger, B., Baran, H., Kainz, A., Ferraz-Leite, H., Newcombe, J., & Kalina, P. (2005) · Neurosignals · doi:10.1159/000086295 · Cited by 102 · see citing works
de Guia, R. M., Agerholm, M., Nielsen, T. S., Consitt, L. A., Søgaard, D., Helge, J. W., Larsen, S., Brandauer, J., Houmard, J. A., & Treebak, J. T. (2019) · Physiological Reports · doi:10.14814/phy2.14139 · Cited by 99 · see citing works
Gluck, M. R., & Zeevalk, G. D. (2004) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2004.02747.x · Cited by 96 · see citing works
The Muscle Metabolome Differs between Healthy and Frail Older Adults
Fazelzadeh, P., Hangelbroek, R., Tieland, M., de Groot, C. P. G. M., Verdijk, L. B., van Loon, L. J. C., Smilde, A. K., Alves, R. D. A. M., Vervoort, J. J. M., Müller, M. M., et al. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00840 · Cited by 94 · see citing works
NAD+ boosting reduces age-associated amyloidosis and restores mitochondrial homeostasis in muscle
Romani, M., Sorrentino, V., Oh, C.-M., Li, H., de Lima, T. I., Zhang, H., Shong, M., & Auwerx, J. (2021) · Cell Reports · doi:10.1016/j.celrep.2020.108660 · Cited by 92 · see citing works
Systematic review of ophthalmate as a novel biomarker of hepatic glutathione depletion
Dello, S. A. W. G., Neis, E. P. J. G., Jong, M. C. D., van Eijk, H. M. H., Kicken, C. H., Damink, S. W. M. O., & Dejong, C. H. C. (2012) · Clinical Nutrition · doi:10.1016/j.clnu.2012.10.008 · Cited by 84 · see citing works
Gao, A. W., Chatzispyrou, I. A., Kamble, R., Liu, Y. J., Herzog, K., Smith, R. L., van Lenthe, H., Vervaart, M. A. T., van Cruchten, A., Luyf, A. C., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-02539-w · Cited by 77 · see citing works
Self-citationReduced nicotinamide mononucleotide is a new and potent NAD + precursor in mammalian cells and mice
Perez, R. Z., Tammaro, A., Schomakers, B. V., Scantlebery, A. M. L., Denis, S. W., Elfrink, H. L., Giroud‐Gerbetant, J., Cantó, C., López‐Leonardo, C., McIntyre, R. L., et al. (2021) · The FASEB Journal · doi:10.1096/fj.202001826r · Cited by 75 · see citing works
Self-citationBrain NAD Is Associated With ATP Energy Production and Membrane Phospholipid Turnover in Humans
Cuenoud, B. M., İpek, Ö., Shevlyakova, M., Beaumont, M., Cunnane, S. C., Rolf Gruetter, A., & Xin, L. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.609517 · Cited by 67 · see citing works
Mackey, A. L., Karlsen, A., Couppé, C., Mikkelsen, U. R., Nielsen, R. H., Magnusson, S. P., & Kjær, M. (2013) · Acta Physiologica · doi:10.1111/apha.12195 · Cited by 63 · see citing works
NAD+ metabolism as a target for metabolic health: have we found the silver bullet?
Connell, N. J., Houtkooper, R. H., & Schrauwen, P. (2019) · Diabetologia · doi:10.1007/s00125-019-4831-3 · Cited by 60 · see citing works
Self-citationGadelha, A. B., Neri, S. G. R., Bottaro, M., & Lima, R. M. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2018.06.018 · Cited by 50 · see citing works
Molecular Mechanism of ADP-Ribose Hydrolysis By Human NUDT5 From Structural and Kinetic Studies
Zha, M., Guo, Q., Zhang, Y., Yu, B., Ou, Y., Zhong, C., & Ding, J. (2008) · Journal of Molecular Biology · doi:10.1016/j.jmb.2008.04.006 · Cited by 44 · see citing works
Kynurenic acid accumulation underlies learning and memory impairment associated with agingPreprint
Vohra, M., Lemieux, G. A., Lin, L., & Ashrafi, K. (2018) · Genes & Development · doi:10.1101/gad.307918.117 · Cited by 32 · see citing works
Smith, K. R., Hayat, F., Andrews, J., Migaud, M. E., & Gassman, N. R. (2019) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.9b00230 · Cited by 31 · see citing works
Lim, A., Harijanto, C., Vogrin, S., Guillemin, G. J., & Duque, G. (2021) · International Journal of Tryptophan Research · doi:10.1177/1178646921991119 · Cited by 21 · see citing works
A Comparison of Methodological Approaches to Measuring Cycling Mechanical Efficiency
Matomäki, P., Linnamo, V., & Kyröläinen, H. (2019) · Sports Medicine - Open · doi:10.1186/s40798-019-0196-x · Cited by 18 · see citing works
Moore, M. P., & Mucinski, J. M. (2020) · The Journal of Physiology · doi:10.1113/jp279749 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Kemp, G. J. & Radda, G. K. Quantitative interpretation of bioenergetic data from 31P and 1H magnetic resonance spectroscopic studies of skeletal muscle: an analytical review.Magn. Reson. W. 10, 43-63 (1994).
- Wickham, H. Ggplot2. Wiley Interdiscip. Rev. Comput. Stat. 3, 180-185 (2011).
Cited by
Sorted by citations
Membrez, M., Migliavacca, E., Christen, S., Yaku, K., Trieu, J., Lee, A. K., Morandini, F., Giner, M. P., Stiner, J., Makarov, M. V., et al. (2024) · Nature Metabolism · doi:10.1038/s42255-024-00997-x · Cited by 148 · see citing works
NAD+ in COVID-19 and viral infections
Zheng, M., Schultz, M. B., & Sinclair, D. A. (2022) · Trends in Immunology · doi:10.1016/j.it.2022.02.001 · Cited by 62 · see citing works
Roadmap for alleviating the manifestations of ageing in the cardiovascular system
Liberale, L., Tual-Chalot, S., Sedej, S., Ministrini, S., Georgiopoulos, G., Grunewald, M., Bäck, M., Bochaton-Piallat, M.-L., Boon, R. A., Ramos, G. C., et al. (2025) · Nature Reviews Cardiology · doi:10.1038/s41569-025-01130-5 · Cited by 59 · see citing works
Yaku, K., Palikhe, S., Iqbal, T., Hayat, F., Watanabe, Y., Fujisaka, S., Izumi, H., Yoshida, T., Karim, M., Uchida, H., et al. (2025) · Science Advances · doi:10.1126/sciadv.adr1538 · Cited by 40 · see citing works
“The skeletal muscle is considered an important target organ for NAD + replenishment therapy ( 34 – 36 ).”
- Authors
- Janssens, G. E., Grevendonk, L., Perez, R. Z., Schomakers, B. V., de Vogel-van den Bosch, J., Geurts, J. M. W., van Weeghel, M., Schrauwen, P., Houtkooper, R. H., & Hoeks, J.
- Affiliations
- Amsterdam University Medical Centers (NL)
- Maastricht University (NL)
- FrieslandCampina (Netherlands) (NL)
- Corresponding author
- Houtkooper, Riekelt H.
- ORCID
- Venue
- Nature Aging
- Published
- 2022-02-17
- Volume
- 2
- Issue
- 3
- Pages
- 254-263
- ISSN
- 2662-8465 (ISSN-L)
- OpenAlex
- W4213292045
- Cited by
- 103
- References
- 80
- Citations by year
- 2026: 20 · 2025: 22 · 2024: 27 · 2023: 22 · 2022: 12
- FWCI
- 11.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature Aging (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- Velux Stiftung
- European Commission (840110, HORIZON2020)
- ZonMw (91715305)
- H2020 European Research Council (638290)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Sirtuins and Resveratrol in Medicine
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Physiology › Adipose Tissue and Metabolism
- Keywords
- NAD+, healthy aging, skeletal muscle, muscle metabolome, exercise training, physical activity, mitochondrial function, muscle function, older adults, physical impairment, step count, age-related metabolic decline
- MeSH terms
- Healthy Aging, Aged, Aging, Cross-Sectional Studies, Humans, NAD, Muscle, Skeletal
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