Age-Related Changes in Biomarkers: Longitudinal Data from a Population-Based Sample
Open accessAbstract
Identifying how biological parameters change with age can provide insights into the physiological determinants of disease, and ultimately, death. Most prior studies of age-related change in biomarkers are based on cross-sectional data, small or selective samples, or a limited number of biomarkers. We use data from a nationally-representative longitudinal sample of 639 Taiwanese aged 54 and older in 2000 to assess changes over a six-year period in a wide range of biomarkers. Markers that increased most with age were glycoslyated hemoglobin, interleukin-6, and norepinephrine. Markers that decreased most with age were diastolic blood pressure and creatinine clearance. For example, glycoslyated hemoglobin increased by 8-13%, on average, over this six-year period. Several standard clinical risk factors exhibited little evidence of age-related change. Further research is needed to determine whether the observed variation between individuals in biomarker changes represents differences in underlying physiological function that are predictive of future health and survival.
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?
A multitude of biomarkers linked to disease are strongly correlated with age; e.g., triglycerides, HbA1c, waist circumference, IL-6 increase with age, while albumin, IGF and creatinine clearance decrease [84,85].
“For instance, triglycerides, glycated hemoglobin (HbA1c), waist circumference, IL-6 increase with age, but other parameters like albumin, IGF and creatinine clearance go in an opposite direction [84, 85].”
From Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare (2018) · cites this paper as [85]
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
Prediction of Creatinine Clearance from Serum Creatinine
Cockcroft, D. W., & Gault, H. (2008) · The Nephron journals/Nephron journals · doi:10.1159/000180580 · Cited by 15,291 · see citing works
Journal of the National Medical Association
(2010) · Journal of the National Medical Association · doi:10.1016/s0027-9684(15)30622-2 · Cited by 5,338 · see citing works
Burt, V. L., Whelton, P., Roccella, E. J., Brown, C., Cutler, J. A., Higgins, M., Horan, M. J., & Labarthe, D. (1995) · Hypertension · doi:10.1161/01.hyp.25.3.305 · Cited by 2,998 · see citing works
International Journal of Obesity
(2019) · International Journal of Obesity · doi:10.1038/41366.1476-5497 · Cited by 2,092 · see citing works
Danesh, J., Collins, R., Appleby, P. N., & Peto, R. (1998) · JAMA · doi:10.1001/jama.279.18.1477 · Cited by 2,027 · see citing works
Longitudinal Studies on the Rate of Decline in Renal Function with Age
Lindeman, R. D., Tobin, J., & Shock, N. W. (1985) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1985.tb07117.x · Cited by 1,578 · see citing works
The Effect of Age on Creatinine Clearance in Men: A Cross-sectional and Longitudinal Study
Rowe, J. W., Andres, R., Tobin, J. D., Norris, A. H., & Shock, N. W. (1976) · Journal of Gerontology · doi:10.1093/geronj/31.2.155 · Cited by 1,104 · see citing works
Health consequences of obesity in the elderly: a review of four unresolved questions
Zamboni, M. M., Mazzali, G., Zoico, E., Harris, T. B., Meigs, J. B., Francesco, V. D., Fantin, F., Bissoli, L., & Bosello, O. (2005) · International Journal of Obesity · doi:10.1038/sj.ijo.0803005 · Cited by 649 · see citing works
Monocyte Cytokine Production in an Elderly Population: Effect of Age and Inflammation
Roubenoff, R., Harris, T. B., Abad, L. W., Wilson, P. W. F., Dallal, G. E., & Dinarello, C. A. (1998) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/53a.1.m20 · Cited by 418 · see citing works
Anthropometric assessment of 10-y changes in body composition in the elderly
HUGHES, V. A., Roubenoff, R., Wood, M., Frontera, W. R., Evans, W. J., & Singh, M. A. F. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.2.475 · Cited by 394 · see citing works
Evaluating the quality of self-reports of hypertension and diabetes
Goldman, N. (2003) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(02)00580-2 · Cited by 394 · see citing works
Self-citationNeuroinflammation Associated with Aging Sensitizes the Brain to the Effects of Infection or Stress
Sparkman, N. L., & Johnson, R. W. (2008) · NeuroImmunoModulation · doi:10.1159/000156474 · Cited by 330 · see citing works
Age-related physiological changes and their clinical significance.
Boss, G. R., & Seegmiller, J. E. (1981) · PubMed · Cited by 325 · see citing works
Elia, M. (2001) · Obesity Research · doi:10.1038/oby.2001.126 · Cited by 304 · see citing works
European journal of clinical nutrition
(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)91961-5 · Cited by 291 · see citing works
Karlamangla, A. S., Singer, B. H., & Seeman, T. E. (2006) · Psychosomatic Medicine · doi:10.1097/01.psy.0000221270.93985.82 · Cited by 280 · see citing works
Determinants of change in total cholesterol and HDL-C with age: the Framingham Study
Wilson, P. W. F., Anderson, K. M., Harri, T., Kannel, W. B., & Castelli, W. P. (1994) · Journal of Gerontology · doi:10.1093/geronj/49.6.m252 · Cited by 223 · see citing works
James, K. A., Weitzel, L.-R. B., Engelman, C. D., Zerbe, G. O., & Norris, J. M. (2003) · BMC Genetics · doi:10.1186/1471-2156-4-s1-s83 · Cited by 167 · see citing works
Age-related changes in blood pressure.
Landahl, S., Bengtsson, C., Sigurdsson, J. A., Svanborg, A., & Svärdsudd, K. (1986) · Hypertension · doi:10.1161/01.hyp.8.11.1044 · Cited by 166 · see citing works
Chapter 5 Biomarkers Related To Aging In Human Populations
Crimmins, E. M., Vasunilashorn, S. M., Kim, J. K., & Alley, D. E. (2008) · Advances in clinical chemistry · doi:10.1016/s0065-2423(08)00405-8 · Cited by 156 · see citing works
Schubert, C. M., Rogers, N. L., Remsberg, K. E., Sun, S. S., Chumlea, W. C., Demerath, E. W., Czerwiński, S., Towne, B., & Siervogel, R. M. (2005) · International Journal of Obesity · doi:10.1038/sj.ijo.0803129 · Cited by 130 · see citing works
Change of Serum Albumin and Risk of Cardiovascular Disease and All-Cause Mortality
Schalk, B. W. M., Visser, M., Bremmer, M. A., Penninx, B. W. J. H., Bouter, L. M., & Deeg, D. J. H. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj312 · Cited by 127 · see citing works
Studies in the distribution of body fat. II. Longitudinal effects of change in weight.
Shimokata, H., Andres, R., Coon, P. J., Elahi, D., Muller, D. C., & Jd, T. (1989) · PubMed · Cited by 124 · see citing works
Effects of tumor necrosis factor-alpha and interleukin-6 in elderly populations.
Brüünsgaard, H. (2003) · PubMed · Cited by 97 · see citing works
Noppa, H., Andersson, M., Bengtsson, C., Bruce, Å., & Isaksson, B. (1980) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/33.1.155 · Cited by 95 · see citing works
Siervogel, R. M., Wisemandle, W., Maynard, L. M., Guo, S. S., Roche, A. F., Chumlea, W. C., & Towne, B. (1998) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.18.11.1759 · Cited by 71 · see citing works
Yates, A. P., & Laing, I. (2002) · Diabetic Medicine · doi:10.1046/j.1464-5491.2002.00644.x · Cited by 66 · see citing works
The effects of ageing on glycation and the interpretation of glycaemic control in Type 2 diabetes
Kilpatrick, E. S., Dominiczak, M. H., & SMALL, M. P. (1996) · QJM · doi:10.1093/qjmed/89.4.307 · Cited by 65 · see citing works
Age-related changes in total and high-density-lipoprotein cholesterol in elderly Dutch men.
Weijenberg, M. P., Feskens, E. J. M., & Kromhout, D. (1996) · American Journal of Public Health · doi:10.2105/ajph.86.6.798 · Cited by 64 · see citing works
Yashin, A. I., Akushevich, I. V., Arbeev, K. G., Akushevich, L., Ukraintseva, S. V., & Kulminski, A. (2006) · AGE · doi:10.1007/s11357-006-9023-7 · Cited by 54 · see citing works
Kuzuya, M., Ando, F., Iguchi, A., & Shimokata, H. (2005) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2005.05.040 · Cited by 39 · see citing works
Nuttall, F. Q. (1999) · Journal of Laboratory and Clinical Medicine · doi:10.1016/s0022-2143(99)90165-8 · Cited by 36 · see citing works
Gillum, R. F. (2000) · PubMed · Cited by 34 · see citing works
Gerlo, E., Schoors, D. F., & Dupont, A. G. (1991) · Clinical Chemistry · doi:10.1093/clinchem/37.6.875 · Cited by 34 · see citing works
The natural history of obesity in an obese population and associations with metabolic aberrations.
Lissner, L., Sjöström, L., Bengtsson, C., Bouchard, C., & Larsson, B. S. (1994) · PubMed · Cited by 32 · see citing works
Biomarkers of Aging in Women and the Rate of Longitudinal Changes.
Ueno, L. M., Yamashita, Y., Moritani, T., & Nakamura, E. (2003) · Journal of PHYSIOLOGICAL ANTHROPOLOGY and Applied Human Science · doi:10.2114/jpa.22.37 · Cited by 30 · see citing works
Serum lipids and lipoproteins in advanced age intraindividual changes
Frishman, W. H., Ooi, W. L., Derman, M. P., Eder, H. A., Gidez, L. I., Ben-Zeev, D., ZIMETBAUM, P. J., Heiman, M., & Aronson, M. K. (1992) · Annals of Epidemiology · doi:10.1016/1047-2797(92)90036-p · Cited by 30 · see citing works
Bakx, J. C., van den Hoogen, H. J. M., Deurenberg, P., van Doremalen, J., & van den Bosch, W. J. H. M. (2000) · Preventive Medicine · doi:10.1006/pmed.1999.0608 · Cited by 22 · see citing works
24-h Catecholamine excretion: relationships with age and weight
Jenner, D. A., Harrison, G. A., Prior, I. A. M., Leonetti, D. L., & Fujimoto, W. Y. (1987) · Clinica Chimica Acta · doi:10.1016/0009-8981(87)90103-3 · Cited by 20 · see citing works
Comparison of the relationship of age and beta cell function in three ethnic groups
Chiu, K. C., Martinez, D. S., & Chu, A. Y. (2005) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2005.02213.x · Cited by 17 · see citing works
Longitudinal changes in serum lipids of elderly Europeans. SENECA Investigators.
Grünenberger, F., Cj, L.-K., Schlienger, J.-L., Jp, D., & Jg, H. (1996) · PubMed · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Mamoshina, P., Ojomoko, L., Yanovich, Y., Ostrovski, A., Botezatu, A., Prikhodko, P., Izumchenko, E., Aliper, A., Romantsov, K., Zhebrak, A., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.22345 · Cited by 471 · see citing works
Molecular and phenotypic biomarkers of aging
Xia, X., Chen, W., McDermott, J., & Han, J.-D. J. (2017) · F1000Research · doi:10.12688/f1000research.10692.1 · Cited by 187 · see citing works
Metabolic Profile and Long-Term Risk of Depression, Anxiety, and Stress-Related Disorders
Chourpiliadis, C. P., Zeng, Y., Lovik, A., Wei, D., Valdimarsdóttir, U. A., Song, H., Hammar, N., & Fang, F. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.4525 · Cited by 176 · see citing works
Fibroblast growth factor 21 in cardio-metabolic disorders: a systematic review and meta-analysis
Lakhani, I., Gong, M., Wong, W. T., Bazoukis, G., Lampropoulos, K. M., Wong, S. H., Wu, W. K. K., Wong, M. C. S., Ong, K. L., Liu, T., et al. (2018) · Metabolism · doi:10.1016/j.metabol.2018.01.017 · Cited by 76 · see citing works
Serum Albumin Levels Are Associated With Cardioembolic and Cryptogenic Ischemic Strokes
Xu, W.-H., Dong, C., Rundek, T., Elkind, M. S. V., & Sacco, R. L. (2014) · Stroke · doi:10.1161/strokeaha.113.003835 · Cited by 72 · see citing works
Biochemical Markers of Aging for Longitudinal Studies in Humans
Engelfriet, P. M., Jansen, E. H. J. M., Picavet, H. S. J., & Dollé, M. E. T. (2013) · Epidemiologic Reviews · doi:10.1093/epirev/mxs011 · Cited by 74 · see citing works
Social relationships and inflammatory markers: An analysis of Taiwan and the U.S.
Glei, D. A., Goldman, N., Ryff, C. D., Lin, Y.-H., & Weinstein, M. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2012.02.020 · Cited by 69 · see citing works
Self-citationLin, K.-J., Wang, T., Chen, S., Lin, K.-L., Liou, C., Lan, M., Chuang, Y., Chuang, J., Wang, P., Lee, J., et al. (2021) · Antioxidants · doi:10.3390/antiox10121935 · Cited by 60 · see citing works
Eum, J. Y., Lee, J. C., Yi, S. S., Kim, I. Y., Seong, J. K., & Moon, M. H. (2020) · Journal of Chromatography A · doi:10.1016/j.chroma.2020.460849 · Cited by 46 · see citing works
Dynamics of biomarkers in relation to aging and mortality
Arbeev, K. G., Ukraintseva, S. V., & Yashin, A. I. (2016) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.04.010 · Cited by 42 · see citing works
Glei, D. A., Goldman, N., Школьников, В. М., Jdanov, D. A., Shkolnikova, M. A., Vaupel, J. W., & Weinstein, M. (2013) · Stress · doi:10.3109/10253890.2013.789015 · Cited by 41 · see citing works
Self-citationEuglycemia Indicates Favorable Motor Outcome in Parkinson's Disease
Markaki, I., Ntetsika, T., Sorjonen, K., Svenningsson, P., & for the BioPark Study Group (2021) · Movement Disorders · doi:10.1002/mds.28545 · Cited by 40 · see citing works
Cohen, A. A., Legault, V., Fuellen, G., Fülöp, T., Fried, L. P., & Ferrucci, L. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2017.07.011 · Cited by 35 · see citing works
Mitchell, U. A., Ailshire, J., & Crimmins, E. M. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/gly026 · Cited by 31 · see citing works
The companion dog as a model for inflammaging: a cross-sectional pilot study
Schmid, S. M., Hoffman, J. M., Prescott, J. N., Ernst, H., Promislow, D., Akey, J. M., Benton, B., Borenstein, E., Castelhano, M. G., Coleman, A. E., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01217-w · Cited by 21 · see citing works
Apolipoprotein E and Measured Physical and Pulmonary Function in Older Taiwanese Adults
Vasunilashorn, S. M., Glei, D. A., Lin, Y., & Goldman, N. (2013) · Biodemography and Social Biology · doi:10.1080/19485565.2013.778703 · Cited by 17 · see citing works
Self-citationChmielewski, P. P., Borysławski, K., Chmielowiec, K., & Chmielowiec, J. (2015) · Anthropological Review · doi:10.1515/anre-2015-0025 · Cited by 15 · see citing works
Relaxation Practice and Physiologic Regulation in a National Sample of Older Taiwanese
Glei, D. A., Goldman, N., Lin, Y.-H., & Weinstein, M. (2012) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2010.0598 · Cited by 15 · see citing works
Self-citationLin, Y., Jen, M., & Chien, K. (2017) · BMC Geriatrics · doi:10.1186/s12877-017-0598-x · Cited by 13 · see citing works
Self-citationIncreases in Blood Glucose in Older Adults
Lee, C., Rodrı́guez, G., Glei, D. A., Weinstein, M., & Goldman, N. (2014) · Journal of Aging and Health · doi:10.1177/0898264314534894 · Cited by 12 · see citing works
Self-citationLin, Y., Glei, D. A., Weinstein, M., Wu, S.-I., & Chien, K. (2017) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2017.02.002 · Cited by 11 · see citing works
Self-citationApolipoprotein E is associated with blood lipids and inflammation in Taiwanese older adults
Vasunilashorn, S. M., Glei, D. A., Lan, C.-Y., Brookmeyer, R., Weinstein, M., & Goldman, N. (2011) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2011.07.100 · Cited by 9 · see citing works
Self-citationGlycosylated Hemoglobin Testing in the National Social Life, Health, and Aging Project
Gregg, F. T., O'Doherty, K., Schumm, L. P., McClintock, M. K., & Huang, E. S. (2014) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbu118 · Cited by 8 · see citing works
Premeaux, T. A., Bowler, S. A., Friday, C., Moser, C., Hoenigl, M., Lederman, M. M., LANDAY, A. L., Gianella, S., & Ndhlovu, L. C. (2024) · iScience · doi:10.1016/j.isci.2024.109945 · Cited by 7 · see citing works
Manifestations of allostatic load in residents of radiation contaminated areas aged 18–24 years
Соколенко, В. Л., & Соколенко, С. В. (2019) · Regulatory Mechanisms in Biosystems · doi:10.15421/021963 · Cited by 11 · see citing works
Zhao, H., Zhu, D., Zhang, M., Wang, T., Han, N., Ge, T., Ma, X., Wu, A., Li, R., & Zhao, X. (2024) · Diagnostics · doi:10.3390/diagnostics14192226 · Cited by 6 · see citing works
Xu, K., Hernández, B., Arpawong, T. E., Camuzeaux, S., Chekmeneva, E., Crimmins, E. M., Elliott, P., Fiorito, G., Jiménez, B., Kenny, R. A., et al. (2025) · Aging Cell · doi:10.1111/acel.14484 · Cited by 5 · see citing works
Ghachem, A., Dufour, F., Fülöp, T., Gaudreau, P., & Cohen, A. A. (2021) · Gerontology · doi:10.1159/000514169 · Cited by 3 · see citing works
Delta-S-Cys-Albumin as a Marker of Pediatric Biospecimen Integrity
Kremer, S., Shakhnovich, V., Riffel, A. K., Harvey, L., & Borges, C. R. (2024) · Biopreservation and Biobanking · doi:10.1089/bio.2023.0121 · Cited by 2 · see citing works
Drożdż, A., Duggan, B. J., Ruddock, M. W., Reid, C. N., Kurth, M. J., Watt, J., Irvine, A., Lamont, J. V., FitzGerald, P. S., O’Rourke, D. M., et al. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1401071 · Cited by 1 · see citing works
Vindas, N. V., Quesada, S., Zúñiga, J. G., Umaña, M. V., Sánchez, N. L., & Gómez, G. (2023) · Revista Española de Geriatría y Gerontología · doi:10.1016/j.regg.2023.101382 · Cited by 1 · see citing works
Integrative Outlooks About Clinical and Biomedical Research in Ageing
García‐Peña, C., Medina-Campos, R. H., Anda, E. D.-D., & Barrera-Vázquez, O. S. (2020) · Springer eBooks · doi:10.1007/978-3-030-40955-5_13
Rebaud, L., Capobianco, N., Captier, N., Escobar, T., Spottiswoode, B. S., & Buvat, I. (2024) · medRxiv · doi:10.1101/2024.09.03.24312994
Láng, L., Hunt, T., Vauzour, D., Barreto, P. D. S., Gueimonde, M., Witkamp, R. F., Guelinckx, I., Pot, B., McArthur, S., Dye, L., et al. (2025) · The journal of nutrition health & aging · doi:10.1016/j.jnha.2025.100683
- Authors
- Glei, D. A., Goldman, N., Lin, Y.-H., & Weinstein, M.
- Affiliations
- Georgetown University (US)
- Princeton University (US)
- Department of Health (TW)
- Corresponding author
- Glei, Dana A.
- Venue
- Research on Aging
- Publisher
- SAGE Publications
- Published
- 2011-03-07
- Volume
- 33
- Issue
- 3
- Pages
- 312-326
- ISSN
- 0164-0275 (ISSN-L)
- 1552-7573
- PMC
- PMC3109912
- OpenAlex
- W2144205195
- Cited by
- 37
- References
- 41
- Citations by year
- 2025: 3 · 2024: 8 · 2023: 1 · 2021: 3 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 5 · 2016: 1 · 2015: 1 · 2014: 4 · 2013: 3 · 2012: 2
- FWCI
- 4.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Research on Aging (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG016790, R01AG016661)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD047879)
- Topics
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- age-related changes, biomarkers, aging, HbA1c, interleukin-6, norepinephrine, diastolic blood pressure, creatinine clearance, older adults
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
