The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Is HIV a Model of Accelerated or Accentuated Aging?
Open accessAbstract
BACKGROUND: Antiretroviral therapy has reduced the incidence of adverse events and early mortality in HIV-infected persons. Despite these benefits, important comorbidities that increase with age (eg, diabetes, cardiovascular disease, cancer, liver disease, and neurocognitive impairment) are more prevalent in HIV-infected persons than in HIV-uninfected persons at every age, and geriatric syndromes such as falls and frailty occur earlier in HIV-infected persons. This raises a critical research question: Does HIV accelerate aging through pathways and mechanisms common to the aging process or is HIV simply an additional risk factor for a wide number of chronic conditions, thus accentuating aging? METHODS: Extensive literature review. RESULTS: The purpose of this review is to briefly outline the evidence that age-related clinical syndromes are exacerbated by HIV, examine the ways in which HIV is similar, and dissimilar from natural aging, and assess the validity of HIV as a model of premature aging. Specific biomarkers of aging are limited in HIV-infected hosts and impacted by antiretroviral therapy, and a high rate of modifiable life style confounders (eg, smoking, substance abuse, alcohol) and coinfections (eg, hepatitis) in HIV-infected participants. CONCLUSIONS: There is a need for validated biomarkers of aging in the context of HIV. Despite these differences, welldesigned studies of HIV-infected participants are likely to provide new opportunities to better understand the mechanisms that lead to aging and age-related diseases.
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.
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
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
The senescence-associated secretory phenotype: the dark side of tumor suppression
Coppé, J.-P., Desprez, P.-Y., Krtolica, A., & Campisi, J. (2010) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-121808-102144 · Cited by 5,206
Microbial translocation is a cause of systemic immune activation in chronic HIV infection
Brenchley, J. M., Price, D. A., Schacker, T. W., Asher, T. E., Silvestri, G., Rao, S., Kazzaz, Z., Bornstein, E., Lambotte, O., Altmann, D., et al. (2006) · Nature Medicine · doi:10.1038/nm1511 · Cited by 3,559
Self-citationCD4+ Count–Guided Interruption of Antiretroviral Treatment
(2006) · New England Journal of Medicine · doi:10.1056/nejmoa062360 · Cited by 2,231
Brenchley, J. M., Schacker, T. W., Ruff, L. E., Price, D. A., Taylor, J. H., Beilman, G. J., Nguyen, P. L., Khoruts, A., Larson, M., Haase, A. T., et al. (2004) · The Journal of Experimental Medicine · doi:10.1084/jem.20040874 · Cited by 1,832
. Inflammatory and coagulation biomarkers and mortality in patients with HIV infection.
Kuller, L. H., Tracy, R., Belloso, W., Wit, S. D., Drummond, F., Lane, H. C., Ledergerber, B., Lundgren, J., Neuhaus, J., Nixon, D., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050203 · Cited by 1,617
Triant, V. A., Lee, H., Hadigan, C., & Grinspoon, S. K. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-2190 · Cited by 1,613
Ink4a/Arf expression is a biomarker of aging
Krishnamurthy, J., Torrice, C., Ramsey, M. R., Kovalev, G. I., Al-Regaiey, K., Su, L., & Sharpless, N. E. (2004) · Journal of Clinical Investigation · doi:10.1172/jci22475 · Cited by 1,486
Guaraldi, G., Orlando, G., Zona, S., Menozzi, M., Carli, F., Garlassi, E., Berti, A., Rossi, E., Roverato, A., & Palella, F. (2011) · Clinical Infectious Diseases · doi:10.1093/cid/cir627 · Cited by 1,331
Cited by
Geroscience: Linking Aging to Chronic Disease
Kennedy, B. K., Berger, S. L., Brunet, A., Campisi, J., Cuervo, A. M., Epel, E. S., Franceschi, C., Lithgow, G. J., Morimoto, R. I., Pessin, J. E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.10.039 · Cited by 2,764
The twilight of immunity: emerging concepts in aging of the immune system
Nikolich-Žugich, J. (2018) · Nature Immunology · doi:10.1038/s41590-017-0006-x · Cited by 1,240
Ageing with HIV: Challenges and biomarkers
Rodés, B., Cadiñanos, J., Esteban-Cantos, A., Rodríguez-Centeno, J., & Arribas, J. R. (2022) · eBioMedicine · doi:10.1016/j.ebiom.2022.103896 · Cited by 136
The silent war of CMV in aging and HIV infection
Effros, R. B. (2016) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2015.09.003 · Cited by 63
Velichkovska, M., Surnar, B., Nair, M., Dhar, S., & Toborek, M. (2019) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.8b01014 · Cited by 49
Metadata
- Authors
- Pathai, S., Bajillan, H., Landay, A. L., & High, K. P.
- Venue
- The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-10-24
- Volume
- 69
- Issue
- 7
- Pages
- 833-842
- ISSN
- 1079-5006 (ISSN-L)
- 1758-535X
- OpenAlex
- W2018804075
- Cited by
- 414
- References
- 95
- FWCI
- 24.06
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Is HIV a Model of Accelerated or Accentuated Aging? https://app.cochat.ai/papers/10.1093/gerona/glt168
- The paper
- Pathai, S., Bajillan, H., Landay, A. L., & High, K. P. (2014). Is HIV a Model of Accelerated or Accentuated Aging? The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. https://doi.org/10.1093/gerona/glt168
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
