The DOI matches its Crossref record; 303 of the 303 references it cites were found in a registry or an index.
Aging Hallmarks and the Role of Oxidative Stress
Open accessAbstract
Aging is a complex biological process accompanied by a progressive decline in the physical function of the organism and an increased risk of age-related chronic diseases such as cardiovascular diseases, cancer, and neurodegenerative diseases. Studies have established that there exist nine hallmarks of the aging process, including (i) telomere shortening, (ii) genomic instability, (iii) epigenetic modifications, (iv) mitochondrial dysfunction, (v) loss of proteostasis, (vi) dysregulated nutrient sensing, (vii) stem cell exhaustion, (viii) cellular senescence, and (ix) altered cellular communication. All these alterations have been linked to sustained systemic inflammation, and these mechanisms contribute to the aging process in timing not clearly determined yet. Nevertheless, mitochondrial dysfunction is one of the most important mechanisms contributing to the aging process. Mitochondria is the primary endogenous source of reactive oxygen species (ROS). During the aging process, there is a decline in ATP production and elevated ROS production together with a decline in the antioxidant defense. Elevated ROS levels can cause oxidative stress and severe damage to the cell, organelle membranes, DNA, lipids, and proteins. This damage contributes to the aging phenotype. In this review, we summarize recent advances in the mechanisms of aging with an emphasis on mitochondrial dysfunction and ROS production.
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
Repertoires of Autophagy in the Pathogenesis of Ocular Diseases
Li, Y.-J., Jiang, Q., Cao, G.-F., Yao, J., & Yan, B. (2015) · Cellular Physiology and Biochemistry · doi:10.1159/000373980 · Cited by 16,304
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
Jenuwein, T., & Allis, C. D. (2001) · Science · doi:10.1126/science.1063127 · Cited by 9,756
Aging: a theory based on free radical and radiation chemistry
Harman, D. (1956) · Journal of Gerontology · doi:10.1093/geronj/11.3.298 · Cited by 8,567
mTOR Signaling in Growth Control and Disease
Laplante, M., & Sabatini, D. M. (2012) · Cell · doi:10.1016/j.cell.2012.03.017 · Cited by 8,509
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
DNA methylation age of human tissues and cell types
Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075
Autophagy fights disease through cellular self-digestion
Mizushima, N., Levine, B., Cuervo, A. M., & Klionsky, D. J. (2008) · Nature · doi:10.1038/nature06639 · Cited by 6,452
Okano, M., Bell, D. W., Haber, D. A., & Li, E. (1999) · Cell · doi:10.1016/s0092-8674(00)81656-6 · Cited by 6,143
Chen, X., Xiu, M., Xing, J., Yu, S., Min, D., & Guo, F. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000479439 · Cited by 5,742
Cited by
Reactive Oxygen Species, Toxicity, Oxidative Stress, and Antioxidants: Chronic Diseases and Aging
Jomova, K., Raptova, R., Alomar, S. Y., Alwasel, S. H., Nepovimova, E., Kuca, K., & Valko, M. (2023) · Archives of Toxicology · doi:10.1007/s00204-023-03562-9 · Cited by 2,638
Oxidative Stress in Type 2 Diabetes: Impacts from Pathogenesis to Lifestyle Modifications
Caturano, A., D’Angelo, M., Mormone, A., Russo, V., Mollica, M. P., Salvatore, T., Galiero, R., Rinaldi, L., Vetrano, E., Marfella, R., et al. (2023) · Current Issues in Molecular Biology · doi:10.3390/cimb45080420 · Cited by 579
Metadata
- Authors
- Maldonado, E., Morales-Pison, S., Urbina, F., & Solari, A.
- Venue
- Antioxidants
- Publisher
- MDPI AG
- Published
- 2023-03-06
- Volume
- 12
- Issue
- 3
- Pages
- 651
- ISSN
- 2076-3921 (ISSN-L)
- OpenAlex
- W4323318796
- Cited by
- 425
- References
- 303
- FWCI
- 17.87
- Type
- journal article
- Language
- en
- Open access
- gold
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: Aging Hallmarks and the Role of Oxidative Stress. https://app.cochat.ai/papers/10.3390/antiox12030651
- The paper
- Maldonado, E., Morales-Pison, S., Urbina, F., & Solari, A. (2023). Aging Hallmarks and the Role of Oxidative Stress. Antioxidants. https://doi.org/10.3390/antiox12030651
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.