The DOI matches its Crossref record; 52 of the 54 references it cites were found in a registry or an index, and 2 are not checked yet.
Glycans Are a Novel Biomarker of Chronological and Biological Ages
Open accessAbstract
Fine structural details of glycans attached to the conserved N-glycosylation site significantly not only affect function of individual immunoglobulin G (IgG) molecules but also mediate inflammation at the systemic level. By analyzing IgG glycosylation in 5,117 individuals from four European populations, we have revealed very complex patterns of changes in IgG glycosylation with age. Several IgG glycans (including FA2B, FA2G2, and FA2BG2) changed considerably with age and the combination of these three glycans can explain up to 58% of variance in chronological age, significantly more than other markers of biological age like telomere lengths. The remaining variance in these glycans strongly correlated with physiological parameters associated with biological age. Thus, IgG glycosylation appears to be closely linked with both chronological and biological ages. Considering the important role of IgG glycans in inflammation, and because the observed changes with age promote inflammation, changes in IgG glycosylation also seem to represent a factor contributing to aging. SIGNIFICANCE STATEMENT: Glycosylation is the key posttranslational mechanism that regulates function of immunoglobulins, with multiple systemic repercussions to the immune system. Our study of IgG glycosylation in 5,117 individuals from four European populations has revealed very extensive and complex changes in IgG glycosylation with age. The combined index composed of only three glycans explained up to 58% of variance in age, considerably more than other biomarkers of age like telomere lengths. The remaining variance in these glycans strongly correlated with physiological parameters associated with biological age; thus, IgG glycosylation appears to be closely linked with both chronological and biological ages. The ability to measure human biological aging using molecular profiling has practical applications for diverse fields such as disease prevention and treatment, or forensics.
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
Figures
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
“Although it is not yet possible to comprehensively survey the glycome, recent mass spectrometry studies examining the concentrations of just a few well-studied glycans have been able to accurately predict chronological age and ageing phenotypes.”
From Measuring biological age using omics data (2022) · cites this paper as [129]
In the citing paper
“Krištić et al.129 observed changes in the N-glycosylation pattern of serum IgG protein, which predicted age in multiple European cohorts.”
From Measuring biological age using omics data (2022) · cites this paper as [129]
In the citing paper
“Moreover, IgG glycan age correlated with clinical markers of metabolic health129.”
From Measuring biological age using omics data (2022) · cites this paper as [129]
In the citing paper
“We could thus not assess the association of facial aging with individual lifestyle parameters, endocrine status, or molecular aging markers (Krištić et al., 2014).”
From Facial aging trajectories: A common shape pattern in male and female faces is disrupted after menopause (2019) · cites this paper as Krištić et al., 2014
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
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Inflamm‐aging: An Evolutionary Perspective on Immunosenescence
FRANCESCHI, C., BONAFÈ, M., VALENSIN, S., OLIVIERI, F., DE LUCA, M., OTTAVIANI, E., & DE BENEDICTIS, G. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06651.x · Cited by 5,358
Algebraic decay in hierarchical graphs
Garcia, A., Sonnino, G., Malek-Mansour, M.-A., & Baras, F. (1998) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · doi:10.1023/a · Cited by 5,186
Genome-wide methylation profiles reveal quantitative views of human aging rates
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.016 · Cited by 4,270
ANew Look at the Statistical Model Identification
AKAlKE, H. (2011) · Cited by 4,177
Extending Healthy Life Span—From Yeast to Humans
Fontana, L., Partridge, L., & Longo, V. D. (2010) · Science · doi:10.1126/science.1172539 · Cited by 3,023
Physical Fitness and All-Cause Mortality: A Prospective Study of Healthy Men and Women
Blair, S. N. (1989) · JAMA · doi:10.1001/jama.1989.03430170057028 · Cited by 2,658
Glycosylation and the Immune System
Rudd, P. M., Elliott, T., Cresswell, P., Wilson, I. A., & Dwek, R. A. (2001) · Science · doi:10.1126/science.291.5512.2370 · Cited by 1,588
Metabolism of Inflammation Limited by AMPK and Pseudo-Starvation
O'Neill, L. A. J., & Hardie, D. G. (2013) · Nature · doi:10.1038/nature11862 · Cited by 1,133
Research works printed but not linked: 1
- Lauc, 2013, Loci associated with N-glycosylation of human immunoglobulin G show pleiotropy with autoimmune diseases and haematological cancers, PLoS Genet, 9, 10.1371/journal.pgen.1003225 · DOI
Cited by
Sorted by citations
Items 301–400 of 401
Zhao, H., Fan, J., Han, J., Qin, W., Sha, J., Zhang, W., Gu, Y., Ma, X., Gu, J., & Ren, S. (2025) · Engineering · doi:10.1016/j.eng.2025.07.042 · Cited by 4
Perspectives in Comparative Biology of Ageing
Lemaître, J., Gaillard, J., Pavard, S., Criscuolo, F., & Bertile, F. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009007245.008 · Cited by 2
Glycans in blood as biomarkers for forensic applications
Lim, S. Y., Ng, B. H., & Li, S. F. Y. (2020) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2020.116084 · Cited by 3
Bharadwaj, P., & Ackerman, M. E. (2021) · Experientia supplementum · doi:10.1007/978-3-030-76912-3_18 · Cited by 3
Juan, C. G., Briški, N. Š., Volpe-Zanutto, F., Matchett, K., & Davison, G. W. (2025) · medRxiv · doi:10.1101/2025.10.31.25338366 · Cited by 4
Fast and Simple Protocol for N-Glycome Analysis of Human Blood Plasma Proteome
Maslov, D. E., Timoshchuk, A. N., Bondar, A. A., Golubev, M. P., Soplenkova, A. G., Hanić, M., Sharapov, S., Leonova, O. N., Aulchenko, Y. S., & Golubeva, T. S. (2024) · Biomolecules · doi:10.3390/biom14121551 · Cited by 2
Self-citationMarkers of biological age in dogs
Zemko, P., Canevelli, M., Pavanello, S., Cesari, M., Bonsembiante, F., Campisi, M., Cannella, L., Buscarnera, S., Zotti, A., & Banzato, T. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102814 · Cited by 3
Chandra, J., Short, S., Rodríguez, F., Maron, D. J., Pagidipati, N. J., Hernandez, A. F., Mahaffey, K. W., Shah, S. H., Kiel, D. P., Lu, M. T., et al. (2025) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaf173 · Cited by 2
Ranković, E., Nakić, N., Vučković, F., Trbojević‐Akmačić, I., Pučić‐Baković, M., Lauc, G., & Pulanić, D. (2026) · Glycoconjugate Journal · doi:10.1007/s10719-025-10199-6 · Cited by 2
Self-citationŠnajdar, I., Bulić, L., Skelin, A., Mršić, L., Sokač, M., Brkljačić, M., Matovinović, M., Linarić, M., Kovačić, J., Brlek, P., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27031551 · Cited by 2
Self-citationEffect of caloric restriction on organ-specific biological aging in a randomized clinical trial
Li, Y., Xu, X., Sehgal, R., He, X., Zheng, Y., Chen, X., & Xu, K. (2026) · Clinical Nutrition · doi:10.1016/j.clnu.2026.106625 · Cited by 3
Unfried, M., Cazenave‐Gassiot, A., Bischof, E. Y., Holčapek, M., Scheibye‐Knudsen, M., Wenk, M. R., Gruber, J., & Kennedy, B. K. (2026) · Aging and Disease · doi:10.14336/ad.2026.0300 · Cited by 2
Biological vascular age and its relationship with cardiovascular risk factors
Akopyan, A. A., Strazhesko, I. D., Klyashtorny, V. G., & Orlova, Y. A. (2022) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2022-2877 · Cited by 6
Satoh, A. (2022) · Springer eBooks · doi:10.1007/978-981-16-7977-3_18 · Cited by 2
Biochemistry and laboratory diagnosis of obesity
Milinković, N., Bogavac‐Stanojević, N., Vekić, J., Jovičić, S. Ž., & Kotur‐Stevuljević, J. (2024) · Arhiv za farmaciju · doi:10.5937/arhfarm74-50458 · Cited by 2
Role of Antibody Glycosylation in Health, Disease, and Therapy
Nimmerjahn, F. (2025) · Handbook of experimental pharmacology · doi:10.1007/164_2025_744 · Cited by 2
Mass spectrometry reveals age‐dependent collagen decline in murine atria
Ringström, N., Edling, C. E., Nalesso, G., Barallobre‐Barreiro, J., & Jeevaratnam, K. (2025) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15341 · Cited by 2
Zhou, Z., Jiang, H., Ren, J. L., Li, Y., Su, C., Zhang, X., Shao, Y., Xia, W., Wang, Y., Wu, F., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-093052 · Cited by 2
Glycosylation as an Important Regulator of Antibody Function
Uhrík, L., Hernychová, L., & Vojtěšek, B. (2019) · Klinicka onkologie · doi:10.14735/amko20193s46 · Cited by 2
Lectin and Liquid Chromatography-Based Methods for Immunoglobulin (G) Glycosylation Analysis
Pribić, T., & Trbojević‐Akmačić, I. (2021) · Experientia supplementum · doi:10.1007/978-3-030-76912-3_2 · Cited by 2
Multi-omics characterization of partial chemical reprogramming reveals evidence of cell rejuvenation
Mitchell, W., Goeminne, L. J. E., Tyshkovskiy, A., Zhang, S., Chen, J. Y., Paulo, J. A., Pierce, K. A., Choy, A. H., Clish, C. B., Gygi, S. P., et al. (2023) · doi:10.1101/2023.06.30.546730 · Cited by 2
Multi-omics characterization of partial chemical reprogramming reveals evidence of cell rejuvenationPreprint
Mitchell, W., Goeminne, L. J. E., Tyshkovskiy, A., Zhang, S., Paulo, J. A., Pierce, K. A., Choy, A. H., Clish, C. B., Gygi, S. P., & Gladyshev, V. N. (2023) · eLife · doi:10.7554/elife.90579.1 · Cited by 2
Markers, Mechanisms and Metrics of Biological Aging: A Scoping ReviewPreprint
Ziesel, A., Reeves, J. T. H., Mallidou, A. A., Newton, L. J., Rhodes, R. E., Zhang, J., Paterson, T. S. E., & Jabbari, H. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.29.620898 · Cited by 2
Ali, S. M., Peddireddy, S. P., Hashim, A., Rafat, N., Panigrahi, A., Stone, L., de Kock, M., Das, J., Day, C. L., & Sarkar, A. (2025) · medRxiv · doi:10.1101/2025.11.15.25340307 · Cited by 2
Li, S., Zeng, X., Tang, S., Li, X., Zhang, G., Li, M., Zeng, X., & Hu, C. (2023) · PeerJ · doi:10.7717/peerj.14853 · Cited by 1
The rate of aging and its association with risk factors of cardiovascular diseases
Akopyan, A. A., Strazhesko, I. D., Moskalev, A., & Orlova, Y. A. (2023) · Problems of Geroscience · doi:10.37586/2949-4745-1-2023-31-38 · Cited by 1
IgG sialylation puts lung inflammation to REST
Kedzierski, Ł., & Kedzierska, K. (2025) · Immunity · doi:10.1016/j.immuni.2024.12.001 · Cited by 1
Ling, S. S. M., Lilyanna, S., Chong, J. P. C., Ng, J. Y. X., Chan, S. P., Prickett, T. C. R., Wong, L. L., Richards, M., & Liew, O. W. (2025) · Clinical Chemistry · doi:10.1093/clinchem/hvaf056 · Cited by 1
GraphAge: Unleashing the power of graph neural network to decode epigenetic aging
Ahmed, S. S., Shabab, N., Samee, M. A. H., & Rahman, M. S. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf177 · Cited by 3
Biersteker, R., Abendstein, L., van de Bovenkamp, S., van Dooren, H. J., Hamers, S. M. W. R., Kwekkeboom, J. C., Stork, E. M., Drijfhout, J. W., Rispens, T., Koeleman, C. A. M., et al. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf216 · Cited by 1
Protein glycosylation in insects: types, functions, and variation
Schutter, K. D. (2025) · Current Opinion in Insect Science · doi:10.1016/j.cois.2025.101441 · Cited by 1
Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data
Kutumova, E. O., Mandrik, N., Sharipov, R., Pučić‐Baković, M., Rapčan, B., Aulchenko, Y. S., Lauc, G., & Kolpakov, F. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262311495 · Cited by 2
Self-citationTemporal dynamics of IgG-mediated immunometabolic dysfunction: from acute obesity to chronic aging
Kim, S., Kim, J.-H., Lee, H.-L., & Kim, M. S. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1661391 · Cited by 1
Hashmi, S. W., Andonian, B. J., Thompson, M. M., Bennett, W., Sudnick, A. M., Johnson, J. L., Ross, L. M., Collins, K. A., Belski, K. B., Vinicki, M., et al. (2026) · Arthritis Research & Therapy · doi:10.1186/s13075-026-03818-6 · Cited by 1
Self-citationBalakrishnan, A., Krisko, B. W., Sánchez, C. D., & Mkhikian, H. (2026) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2026.130950 · Cited by 1
Association of IgG N-Glycans With Adverse Outcomes in CKD
Butz, E., Bach, M. I. J., Kotsis, F., Steinbrenner, I., Štambuk, T., Gudelj, I., Radovani, B., Pribić, T., Mijakovac, A., Nadal, J., et al. (2026) · Kidney International Reports · doi:10.1016/j.ekir.2026.106615 · Cited by 1
Self-citationFunctional, molecular, and digital measurements of biological age
Cheema, B. S., Boztepe, B., Awofolaju, M., Hubbard, M. S., Marcus, W. B., Palella, F. J., Abdel‐Mohsen, M., Liebovitz, D., Gill, M. K., Cotton, R. J., et al. (2026) · Journal of Clinical Investigation · doi:10.1172/jci205777 · Cited by 1
Escobedo1, C. M., Birukov, A., Heijmans, R., Kuxhaus, O., Eichelmann, F., Slieker, R. C., Memarian, E., Šimunić-Briški, N., Rutters, F., Blom, M. T., et al. (2026) · Diabetes Care · doi:10.2337/dc26-0620 · Cited by 1
Self-citationA rapid and high-throughput biotechnology quantifies major glycoforms of human IgG1 mAb drugs
Matsumoto, Y., Zhou, L., Ohno, S., Lu, W., Biel, T. G., Fratz‐Berilla, E. J., Ortega‐Rodriguez, U., Houchens, T., Dean, A. Q., Kim, S.-R., et al. (2026) · Trends in biotechnology · doi:10.1016/j.tibtech.2026.07.004 · Cited by 1
Not-So-Sweet Dreams: Plasma and IgG N-Glycome in the Severe Form of the Obstructive Sleep Apnea
Plećaš, D., Mraz, N., Patanaude, A. M., Pribić, T., Dodig, I. P., Pecotić, R., Lauc, G., Polašek, O., & Đogaš, Z. (2023) · Biomolecules · doi:10.3390/biom13060880 · Cited by 1
Self-citationMethods for Estimating Personal Disease Risk and Phylogenetic Diversity of Hematopoietic Stem Cells
Craig, J. M., Gerhard, G. S., Sharma, S., Yankovskiy, A., Miura, S., & Kumar, S. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad279 · Cited by 1
Joint modeling of an outcome variable and integrated omics datasets using GLM-PO2PLS
Gu, Z., Uh, H., Houwing‐Duistermaat, J. J., & el Bouhaddani, S. (2024) · Journal of Applied Statistics · doi:10.1080/02664763.2024.2313458 · Cited by 1
Predicting Biochemical and Physiological Parameters: Deep Learning from IgG Glycome Composition
Vujić, A., Klasić, M., Lauc, G., Polašek, O., Zoldoš, V., & Vojta, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25189988 · Cited by 1
Self-citationConsequences of Oestradiol Deficiency in Menopausal Women
Newson, L. R., & Glynne, S. (2025) · Springer eBooks · doi:10.1007/978-3-031-89650-7_2 · Cited by 1
Systems Biology in Aging Research
Xia, X., & Han, J. J. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-1117-8_1 · Cited by 1
Serum Glycomics, a Novel Biomarker That Opens Doors to a Better Understanding of Graft Failure
Wagener, G. (2021) · Transplantation · doi:10.1097/tp.0000000000003506 · Cited by 1
Knowledge Domain and Emerging Trends of IgG Glycosylation: A Bibliometric Study Based on CiteSpacePreprint
Lv, J., Chen, X., Li, Y., Feng, X., Zhu, K., Li, D., & Ji, L. (2020) · Research Square · doi:10.21203/rs.3.rs-74133/v1 · Cited by 1
The Relationship Between Biological Aging with Interdisciplinary Health Indicators: A Scoping ReviewPreprint
Reeves, J. T. H., Knock, E., Gilson, Z. M., Derry, L., McGhee, M. C., Taylor-Hood, K., Ziesel, A., Jabbari, H., Newton, L. J., Miller, J. A., et al. (2024) · medRxiv · doi:10.1101/2024.10.31.24316398 · Cited by 1
A 2-year calorie restriction intervention reduces glycomic biological age biomarkersPreprint
Pribić, T., Das, J., Đerek, L., Belsky, D. W., Orenduff, M. C., Huffman, K. M., Kraus, W. E., Deriš, H., Šimunović, J., Štambuk, T., et al. (2024) · medRxiv · doi:10.1101/2024.12.04.24318451 · Cited by 1
Self-citationInvestigating the role of kidney mononuclear phagocytes in immune complex-induced inflammation.
Richoz, N. (2019) · Apollo (University of Cambridge) · doi:10.17863/cam.50696
Molecular and Epigenetic Clocks of Aging
Raj, S. M., & Lussier, A. A. (2019) · Springer eBooks · doi:10.1007/978-3-319-69892-2_725-2
La compraventa de vivienda con préstamo hipotecario
Gil, F. J. G., García, J. L., & García, M. Á. G. (2005) · Dialnet (Universidad de la Rioja)
Biolandbau und Werte: Was ist Biobauern in Österreich wertvoll?
Plakolm, G., & Fromm, E. (2007) · Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture)
Molecular and Epigenetic Clocks of Aging
Raj, S. M., & Lussier, A. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-22009-9_725
Longevity as a complex genetic trait
Sutphin, G. L., & Korstanje, R. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-815962-0.00001-9
Faculty Opinions recommendation of Hallmarks of senescence and aging.
Fasano, A. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.736350610.793570033
(2018) · 11-ая Международная конференция по биоинформатике регуляции и структуры геномов и системной биологии · doi:10.18699/bgrssb-2018-037
Molecular and Epigenetic Clocks of Aging
Raj, S. M., & Lussier, A. A. (2019) · Springer eBooks · doi:10.1007/978-3-319-69892-2_725-1
ImAge: an imaging approach to quantitate aging and rejuvenationPreprint
Alvarez-Kuglen, M., Rodriguez, D., Qin, H., Ninomiya, K., Fiengo, L., Farhy, C., Hsu, W.-M., Havas, A. P., Feng, G., Roberts, A. J., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.16.512441
Pourrajab, F., & Zare‐Khormizi, M. R. (2023) · Expert Reviews in Molecular Medicine · doi:10.1017/erm.2023.12
Plasma Glycomic Markers of Accelerated Biological Aging During Chronic HIV InfectionPreprint
Giron, L. B., Liu, Q., Adeniji, O. S., Yin, X., Kannan, T., Ding, J., Lu, D. Y., Langan, S. J., Zhang, J., Azevedo, J. L. L. C., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.09.551369
Fc glycosylation of alloantibodies in platelet refractoriness
van Osch, T. L. J. (2024) · doi:10.33540/2046
Multi-omics characterization of partial chemical reprogramming reveals evidence of cell rejuvenation
Mitchell, W., Goeminne, L. J. E., Tyshkovskiy, A., Zhang, S., Chen, J. Y., Paulo, J. A., Pierce, K. A., Choy, A. H., Clish, C. B., Gygi, S. P., et al. (2024) · doi:10.7554/elife.90579.2
The Rate of Aging and Its Association with Risk Factors of Cardiovascular Diseases
Akopyan, A. A., Strazhesko, I. D., Moskalev, A., & Orlova, Y. A. (2023) · Advances in Gerontology · doi:10.1134/s2079057024600228
Wang, B., Liu, D., Song, M., Wang, W., Guo, B., & Wang, Y. (2022) · Figshare · doi:10.6084/m9.figshare.21117209
Aspects of Biological Age Assessment and Its Significance in Ophthalmology
Yusef, Y., Guseynov, Y. A., & Durzhinskaya, M. H. (2024) · Ophthalmology in Russia · doi:10.18008/1816-5095-2024-4-844-849
Singh, S., Liu, Y., Burke, M. C., Rayaprolu, V., Stein, S. E., & Hasan, S. S. (2025) · Journal of Structural Biology X · doi:10.1016/j.yjsbx.2025.100123
Li, T., Qiu, Z., Li, Y., Yang, Y., Qian, H., Fan, Y., Wu, Y., & Liu, W. (2025) · Journal of Chromatography B · doi:10.1016/j.jchromb.2025.124744
Combining blood biochemistry and glycan ages for an even more prognostic biological agePreprint
Frkatović-Hodžić, A., Bortz, J., Guarglia, A., Macdonald-Dunlop, E., Mijakovac, A., Briški, N. Š., Ward, P., Polašek, O., Lauc, G., Geer, M. R., et al. (2025) · medRxiv · doi:10.1101/2025.09.14.25335700
Self-citationPlasma N-glycan signature as biomarker for primary open angle glaucoma
Ng, T. K., Zhang, C., Liu, Q., Chen, S.-L., Huang, C., Song, W., Chen, C., Cao, Y., Qiu, K., Chen, L. J., et al. (2025) · Experimental Eye Research · doi:10.1016/j.exer.2025.110676
Peralta, A. G., Raeisimakiani, P., Hayashi, K., Mahal, L. K., & Reesink, H. L. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.16.682971
Inhibiting glycan degradation prevents HIV-induced inflammaging and cognitive impairment
Giron, L. B., Borjabad, A., Hadas, E., Granche, J., de Menezes, E. G. M., Premeaux, T. A., He, H., Yeung, S. T., Singh, S. T., Friday, C., et al. (2026) · Med · doi:10.1016/j.medj.2026.101175
McHugh, K. M., Barreto, F. S., & Burke, M. K. (2026) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkag276
Choukrallah, M.-A., Hoeng, J., Peitsch, M. C., & Florian, M. (2020) · Figshare · doi:10.6084/m9.figshare.12109497
Sluiskes, M. H., Goeman, J. J., Beekman, M., Slagboom, P. E., Putter, H., & Rodríguez-Girondo, M. (2024) · Figshare · doi:10.6084/m9.figshare.25374849
Choukrallah, M.-A., Hoeng, J., Peitsch, M. C., & Florian, M. (2020) · Figshare · doi:10.6084/m9.figshare.12109503
Wang, B., Liu, D., Song, M., Wang, W., Guo, B., & Wang, Y. (2022) · Figshare · doi:10.6084/m9.figshare.21117215
Sluiskes, M. H., Goeman, J. J., Beekman, M., Slagboom, P. E., Putter, H., & Rodríguez-Girondo, M. (2024) · Figshare · doi:10.6084/m9.figshare.25374707
Emergent chemical and glycoengineering approaches for accessing the cancer glycoproteome
Relvas‐Santos, M., Silva, A. M. N., & Ferreira, J. A. (2025) · Royal Society of Chemistry eBooks · doi:10.1039/9781837676101-00201
Glycomics in the Clinic:A Brief Introduction toGlycosylation-Informed Medicine
Link‐Lenczowski, P. (2025) · Bio-Algorithms and Med-Systems · doi:10.5604/01.3001.0055.5391
The use of biological age calculators in clinical practice
Константиновна, И. А., Melnitskaia, A. A., Veriaskina, A. E., & Matchekhina, L. V. (2025) · Problems of Geroscience · doi:10.37586/2949-4745-2-2025-60-66
Galactose tolerance in adults with classical galactosaemia. Considering the gaps
Shakerdi, L. A., Thacker, C. N., Moore, K., Sheerin, A., Noga, M. J., Rubio‐Gozalbo, M. E., Berry, G. T., O'Byrne, J. J., Saldova, R., & Treacy, E. P. (2026) · Molecular Genetics and Metabolism Reports · doi:10.1016/j.ymgmr.2026.101298
Wang, Y.-S., Chen, X.-N., Zhang, X.-Y., Wang, Y.-F., Ren, S.-F., & Xu, C. (2026) · Journal of Ovarian Research · doi:10.1186/s13048-026-02035-8
Flevaris, K., Trbojević‐Akmačić, I., Goh, D., Lalli, J. S., Vučković, F., Vilaj, M. Ć., Štambuk, J., Krištić, J., Mijakovac, A., Ventham, N. T., et al. (2026) · medRxiv · doi:10.64898/2026.04.10.26349930
Self-citationMijakovac, A., Butz, E., Vučković, F., Frkatović-Hodžić, A., Rapčan, B., Kifer, D., Deriš, H., Radovani, B., Lukšić, F., Cindrić, A., et al. (2026) · medRxiv · doi:10.64898/2026.04.21.26351390
Self-citationAsthana, S., on behalf of the Longevity India Team, Collaborators, Bhat, A., Mahadevan, G., Kothegala, L., Negi, S., Yadav, S., Sudhakaran, A., Roy, A., et al. (2026) · Aging · doi:10.18632/aging.206373
Dončević, L., Friganović, T., Grbčić, P., Filipović, M., Borosak, I., Habazin, S., Lauc, G., Müller, E., & Josić, D. (2026) · Journal of Chromatography B · doi:10.1016/j.jchromb.2026.125107 · Cited by 1
Self-citationGupta, A., & Chawla, S. (2026) · OMICS A Journal of Integrative Biology · doi:10.1177/15578100261457662
Immunoglobulin G in aging and cancer
Bu, M., Li, Z., Jones, E., Lubaba, U., Liu, X., & Li, H. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1854902
Pumpe, C., Sanderson, A., Forsyth, B., Šimunović, J., Narimatsu, Y., Clausen, H., Lauc, G., Cragg, M. S., Bruhns, P., Gray, M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.02.735866
Self-citationFomenko, I., Туркіна, В. А., Alyokhina, T. A., Biletska, L. P., & Коbylinska, L. I. (2026) · The Ukrainian Biochemical Journal · doi:10.15407/ubj98.04.005
Cindrić, A., Nikolopoulos, D., Sherina, N., Vučković, F., Tamirou, F., Patenaude, A., Pučić‐Baković, M., Radovani, B., Houssiau, F., Lauc, G., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1886381
Self-citationMethylation and algorithms in biological aging: a scoping review
Ziesel, A., Reeves, J. T. H., Mallidou, A. A., Newton, L. J., Rhodes, R. E., Zhang, J., Paterson, T. S. E., & Jabbari, H. (2025) · Frontiers in Aging · doi:10.3389/fragi.2025.1682873
Fasel, C. A., Koizia, L. J., & Harris, B. H. L. (2026) · Future Healthcare Journal · doi:10.1016/j.fhj.2026.100564
ОМИКСНЫЕ И ИНТЕГРАТИВНЫЕ МЕТОДЫ ОЦЕНКИ БИОЛОГИЧЕСКОГО ВОЗРАСТА
Ilina, A. R., Сухарева, М. А., Владимирова, Е. В., Сагитдинова, К. А., & Валерьевна, Ш. О. (2026) · Успехи геронтологии · doi:10.34922/ae.2026.39.4.015
Ronca, D. B., Li, J., Lima, R. M., Wen, J., de Carvalho, K. M. B., & Wang, W. (2026) · Advances in predictive, preventive and personalised medicine · doi:10.1007/978-3-032-32838-0_3
Wound Healing, Senescence, and Senotherapeutics
Pitcher, L. E., Zhu, J., Schmidt, E. L., Niedernhofer, L. J., Xu, M., & Robbins, P. D. (2026) · Advances in Wound Care · doi:10.1177/21621918261490101
Metadata
- Authors
- Krištić, J., Vučković, F., Menni, C., Klarić, L., Keser, T., Beceheli, I., Pučić-Baković, M., Novokmet, M., Mangino, M., Thaqi, K., Rudan, P., Novokmet, N., Šarac, J., Missoni, S., Kolčić, I., Polašek, O., Rudan, I., Campbell, H., Hayward, C., Aulchenko, Y., Valdes, A., Wilson, J. F., Gornik, O., Primorac, D., Zoldoš, V., Spector, T., & Lauc, G.
- Affiliations
- King's College London (GB)
- University of Zagreb (HR)
- Institute for Anthropological Research (HR)
- University of Split (HR)
- University of Edinburgh (GB)
- Institute of Genetics and Cancer (GB)
- Institute of Cytology and Genetics (RU)
- University of Osijek (HR)
- Corresponding author
- Krištić, Jasminka
- Vučković, Frano
- ORCID
- Krištić, Jasminka
- Vučković, Frano
- Menni, Cristina
- Klarić, Lucija
- Keser, Toma
- Novokmet, Mislav
- Mangino, Massimo
- Novokmet, Natalija
- Šarac, Jelena
- Missoni, Saša
- Kolčić, Ivana
- Polašek, Ozren
- Rudan, Igor
- Hayward, Caroline
- Aulchenko, Yurii
- Valdes, Ana
- Wilson, James F.
- Gornik, Olga
- Primorac, Dragan
- Zoldoš, Vlatka
- Spector, Tim
- Lauc, Gordan
- Venue
- The Journals of Gerontology: Series A
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-12-10
- Volume
- 69
- Issue
- 7
- Pages
- 779-789
- ISSN
- 1079-5006 (ISSN-L)
- 1758-535X
- PMC
- PMC4049143
- OpenAlex
- W2136722035
- Cited by
- 400
- References
- 52
- Citations by year
- 2026: 33 · 2025: 41 · 2024: 50 · 2023: 41 · 2022: 40 · 2021: 37 · 2020: 44 · 2019: 25 · 2018: 28 · 2017: 18 · 2016: 25 · 2015: 13 · 2014: 2 · 2013: 1
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- The Journals of Gerontology Series A (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc)
- Funders
- Wellcome Trust
- National Institute for Health and Care Research
- European Commission (305479)
- Russian Foundation for Basic Research
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Glycosylation and Glycoproteins Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
- Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Keywords
- IgG glycosylation, glycans, biological age, chronological age, aging biomarkers, N-glycosylation, telomere length, inflammation, post-translational modification, IgG
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Aging, Female, Glycosylation, United Kingdom, Humans, Immunoglobulin G, Longevity, Male, Middle Aged, Models, Biological, Polysaccharides, Protein Processing, Post-Translational, Scotland, Cohort Studies, Biomarkers, Croatia, Inflammation Mediators, Young Adult
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
