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Cited by 354

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Protein oxidative damage is associated with life expectancy of houseflies.

Open access
Sohal, R S, Agarwal, S, Dubey, A, Orr, W C·1993·Proceedings of the National Academy of Sciences

Abstract

The objective of this study was to test some of the predictions of the oxidative-stress hypothesis of aging, which postulates that aging is causally associated with the molecular damage inflicted by reactive oxygen species. Protein carbonyl content was used as an index of molecular oxidative modifications. The carbonyl content was found to be associated with the physiological age or life expectancy of flies rather than with their chronological age. Exposure of flies to sublethal hyperoxia (100% oxygen) irreversibly enhanced the carbonyl content of the flies and decreased their rate of oxygen consumption. Results of this study indicate that protein carbonyl content may be a biomarker of aging and support the general concept that oxidative stress may be a causal factor in the aging process.

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Crossref · 10.1073/pnas.90.15.7255

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Metadata

Authors
Sohal, R. S., Agarwal, S., Dubey, A., & Orr, W. C.
Venue
Proceedings of the National Academy of Sciences
Published
1993-08
Volume
90
Issue
15
Pages
7255-7259
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2088148809
Cited by
354
References
4
FWCI
5.88
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Protein oxidative damage is associated with life expectancy of houseflies. https://app.cochat.ai/papers/10.1073/pnas.90.15.7255
The paper
Sohal, R. S., Agarwal, S., Dubey, A., & Orr, W. C. (1993). Protein oxidative damage is associated with life expectancy of houseflies. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.90.15.7255

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.