The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Detection of a Novel, Integrative Aging Process Suggests Complex Physiological Integration
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.
Integrity signals
Registry
Cites
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.
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?
In the citing paper
“The translation of the science of aging to clinical applications holds substantial promises for the improvement of healthcare and the expansion of health expectancy, with the potential to both reduce health care expenditure and improve population health 75.”
From Validation of biomarkers of aging (2024) · cites this paper as [75]
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
Hepcidin Regulates Cellular Iron Efflux by Binding to Ferroportin and Inducing Its Internalization
Nemeth, E., Tuttle, M. S., Powelson, J., Vaughn, M. B., Donovan, A., Ward, D. M., Ganz, T., & Kaplan, J. (2004) · Science · doi:10.1126/science.1104742 · Cited by 4,803
Hepcidin, a key regulator of iron metabolism and mediator of anemia of inflammation
Ganz, T. (2003) · Blood · doi:10.1182/blood-2003-03-0672 · Cited by 1,544
Nicolas, G., Chauvet, C., Viatte, L., Danan, J. L., Bigard, X., Devaux, I., Beaumont, C., Kahn, A., & Vaulont, S. (2002) · Journal of Clinical Investigation · doi:10.1172/jci0215686 · Cited by 1,214
Accelerated longitudinal decline of aerobic capacity in healthy older adults
Fleg, J. L., Morrell, C. H., Bos, A. G., Brant, L. J., Talbot, L. A., Wright, J. G., & Lakatta, E. G. (2005) · Circulation · doi:10.1161/circulationaha.105.545459 · Cited by 970
SEPLAKI, C., GOLDMAN, N., GLEI, D., & WEINSTEIN, M. (2005) · Experimental Gerontology · doi:10.1016/j.exger.2005.03.002 · Cited by 151
Gurven, M., Kaplan, H., Winking, J., Eid Rodriguez, D., Vasunilashorn, S., Kim, J. K., Finch, C., & Crimmins, E. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006590 · Cited by 107
Flagged first, then by citations
Research works printed but not linked: 38
- SM Harman, 2001, Longitudinal Effects of Aging on Serum Total and Free Testosterone Levels in Healthy Men, Journal of Clinical Endocrinology & Metabolism, 86, 724, 10.1210/jcem.86.2.7219 · DOI · Paper page
- TE Johnson, 2006, Recent results: Biomarkers of aging, Experimental Gerontology, 41, 1243, 10.1016/j.exger.2006.09.006 · DOI · Paper page
- C Franceschi, 2000, Inflamm-aging: An Evolutionary Perspective on Immunosenescence, Annals of the New York Academy of Sciences, 908, 244, 10.1111/j.1749-6632.2000.tb06651.x · DOI · Paper page
- AA Cohen, 2012, Physiological regulatory networks: ecological roles and evolutionary constraints, Trends in Ecology & Evolution, 27, 428, 10.1016/j.tree.2012.04.008 · DOI
- JH Holland, 1992, Complex Adaptive Systems, Daedalus, 121, 17
- JA Dunne, 2002, Food-web structure and network theory: The role of connectance and size, Proceedings of the National Academy of Sciences, 99, 12917, 10.1073/pnas.192407699 · DOI
- Lipsitz LA (2004) Physiological Complexity, Aging, and the Path to Frailty. Sci Aging Knowl Environ 2004: pe16-. · DOI
- S Vasunilashorn, 2010, Blood lipids, infection, and inflammatory markers in the Tsimane of Bolivia, American Journal of Human Biology, 22, 731, 10.1002/ajhb.21074 · DOI · Paper page
- AA Cohen, 2014, Cross-population validation of statistical distance as a measure of physiological dysregulation during aging, Experimental Gerontology, 57, 203, 10.1016/j.exger.2014.04.016 · DOI
- AA Cohen, 2013, A novel statistical approach shows evidence for multi-system physiological dysregulation during aging, Mechanisms of Ageing and Development, 134, 110, 10.1016/j.mad.2013.01.004 · DOI
- E Nakamura, 1988, Assessment of biological age by principal component analysis, Mechanisms of Ageing and Development, 46, 1, 10.1016/0047-6374(88)90109-1 · DOI · Paper page
- J Park, 2009, Developing a biological age assessment equation using principal component analysis and clinical biomarkers of aging in Korean men, Archives of gerontology and geriatrics, 49, 7, 10.1016/j.archger.2008.04.003 · DOI
- AS Karlamangla, 2002, Allostatic load as a predictor of functional decline: MacArthur studies of successful aging, Journal of Clinical Epidemiology, 55, 696, 10.1016/S0895-4356(02)00399-2 · DOI · Paper page
- P Klemera, 2006, A new approach to the concept and computation of biological age, Mechanisms of ageing and development, 127, 240, 10.1016/j.mad.2005.10.004 · DOI
- ME Levine, 2013, Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age?, The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 68, 667, 10.1093/gerona/gls233 · DOI
- L Ferrucci, 2009, The Baltimore Longitudinal Study on Aging: a 50 year long journey and plans for the future, Giornale di Gerontologia, 57, 3
- LP Fried, 2000, Preclinical mobility disability predicts incident mobility disability in older women, Journal of gerontology Series A, Biological sciences and medical sciences, 55, M43, 10.1093/gerona/55.1.M43 · DOI
- L Ferrucci, 2000, Subsystems contributing to the decline in ability to walk: bridging the gap between epidemiology and geriatric practice in the InCHIANTI study, Journal of the American Geriatrics Society, 48, 1618, 10.1111/j.1532-5415.2000.tb03873.x · DOI
- LP Fried, 2001, Frailty in Older Adults: Evidence for a Phenotype Journal of gerontology Series A, Biological sciences and medical sciences, 56, M146
- AA Cohen, 2010, The Summary Index of Malaria Surveillance (SIMS): a stable index of malaria within India, Population Health Metrics, 8, 1, 10.1186/1478-7954-8-1 · DOI
- JD Hadfield, 2010, MCMC methods for multi-response generalized linear mixed models: The MCMCglmm R package, Journal of Statistical Software, 33, 1, 10.18637/jss.v033.i02 · DOI
- A Wagner, 1999, Causality in Complex Systems, Biology and Philosophy, 14, 83, 10.1023/A:1006580900476 · DOI
- AM Matteini, 2010, Heritability Estimates of Endophenotypes of Long and Health Life: The Long Life Family Study., The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 65A, 1375, 10.1093/gerona/glq154 · DOI
- E Nemeth, 2003, Hepcidin, a putative mediator of anemia of inflammation, is a type II acute-phase protein, Blood, 101, 2461, 10.1182/blood-2002-10-3235 · DOI · Paper page
- L Détivaud, 2005, Hepcidin levels in humans are correlated with hepatic iron stores, hemoglobin levels, and hepatic function, Blood, 106, 746, 10.1182/blood-2004-12-4855 · DOI
- Y Xu, 2011, Hepcidin increases intracellular Ca2+ of osteoblast hFOB1.19 through L-type Ca2+ channels, Regulatory Peptides, 172, 58, 10.1016/j.regpep.2011.08.009 · DOI
- L Ferrucci, 2010, Proinflammatory state, hepcidin, and anemia in older persons, Blood, 115, 3810, 10.1182/blood-2009-02-201087 · DOI · Paper page
- JP de Magalhães, 2009, Meta-analysis of age-related gene expression profiles identifies common signatures of aging, Bioinformatics, 25, 875, 10.1093/bioinformatics/btp073 · DOI · Paper page
- Hoffman JM, Soltow QA, Li S, Sidik A, Jones DP, et al. (2014) Effects of age, sex, and genotype on high-sensitivity metabolomic profiles in the fruit fly, Drosophila melanogaster. Aging Cell. · DOI
- TBL Kirkwood, 2011, Systems biology of ageing and longevity, Philosophical Transactions of the Royal Society B: Biological Sciences, 366, 64, 10.1098/rstb.2010.0275 · DOI
- SM Haffner, 2006, The Metabolic Syndrome: Inflammation, Diabetes Mellitus, and Cardiovascular Disease, The American Journal of Cardiology, 97, 3, 10.1016/j.amjcard.2005.11.010 · DOI
- H Kitano, 2002, Computational systems biology, Nature, 420, 206, 10.1038/nature01254 · DOI · Paper page
- V Morrisette-Thomas, 2014, Inflamm-aging does not simply reflect increases in pro-inflammatory markers, Mechanisms of Ageing and Development, 139, 49, 10.1016/j.mad.2014.06.005 · DOI · Paper page
- L Guarente, 2000, Genetic pathways that regulate ageing in model organisms, Nature, 408, 255, 10.1038/35041700 · DOI
- AM Kulminski, 2013, Unraveling genetic origin of aging-related traits: evolving concepts, Rejuvenation research, 16, 304, 10.1089/rej.2013.1441 · DOI
- L Hood, 2003, Systems biology: integrating technology, biology, and computation, Mechanisms of Ageing and Development, 124, 9, 10.1016/S0047-6374(02)00164-1 · DOI
- H Xue, 2007, A modular network model of aging, Molecular Systems Biology, 3
- CA Pearson, 2013, Network Class Superposition Analyses, PloS one, 8, e59046, 10.1371/journal.pone.0059046 · DOI
Cited by
Sorted by citations
Immunosenescence and Inflamm-Aging As Two Sides of the Same Coin: Friends or Foes?
Fulop, T., Larbi, A., Dupuis, G., Le Page, A., Frost, E. H., Cohen, A. A., Witkowski, J. M., & Franceschi, C. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01960 · Cited by 1,364
Self-citationMolecular and physiological manifestations and measurement of aging in humans
Khan, S. S., Singer, B. D., & Vaughan, D. E. (2017) · Aging Cell · doi:10.1111/acel.12601 · Cited by 530
Validation of biomarkers of aging
Moqri, M., Herzog, C., Poganik, J. R., Ying, K., Justice, J. N., Belsky, D. W., Higgins-Chen, A. T., Chen, B. H., Cohen, A. A., Fuellen, G., et al. (2024) · Nature Medicine · doi:10.1038/s41591-023-02784-9 · Cited by 361
Self-citationA complex systems approach to aging biology
Cohen, A. A., Ferrucci, L., Fülöp, T., Gravel, D., Hao, N., Kriete, A., Levine, M. E., Lipsitz, L. A., Olde Rikkert, M. G. M., Rutenberg, A., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00252-6 · Cited by 221
Self-citationSebastiani, P., Thyagarajan, B., Sun, F., Schupf, N., Newman, A. B., Montano, M., & Perls, T. T. (2017) · Aging Cell · doi:10.1111/acel.12557 · Cited by 222
Metadata
- Authors
- Cohen, A. A., Milot, E., Li, Q., Bergeron, P., Poirier, R., Dusseault-Bélanger, F., Fülöp, T., Leroux, M., Legault, V., Metter, E. J., Fried, L. P., & Ferrucci, L.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-03-11
- Volume
- 10
- Issue
- 3
- Pages
- e0116489
- ISSN
- 1932-6203
- PMC
- PMC4356614
- Cited by
- 75
- References
- 6
- 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