Evidence map›Paper›PMID 39512690›Full record

ReviewInternational journal of medical sciences2024

The Biomarkers in Extreme Longevity: Insights Gained from Metabolomics and Proteomics.

Xiaorou Qiu, Yixian Lu, Chao Mu, Peihua Tang, Yueli Liu, Yongmei Huang, Hui Luo, Jun-Yan Liu, Xuemeng Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiaorou QiuZhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
Yixian LuZhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
Chao MuZhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
Peihua TangZhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
Yueli LiuZhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
Yongmei HuangZhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
Hui LuoZhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
Jun-Yan LiuCNTTI of the Institute of Life Sciences & Anesthesia Department of the Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
Xuemeng LiZhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pursuit of extreme longevity is a popular topic. Advanced technologies such as metabolomics and proteomics have played a crucial role in unraveling complex molecular interactions and identifying novel longevity-related biomarkers in long-lived individuals. This review summarizes key longevity-related biomarkers identified through metabolomics, including high levels of omega-3 polyunsaturated fatty acids (PUFAs), short-chain fatty acids (SCFAs) and sphingolipids, as well as low levels of tryptophan. Proteomics analyses have highlighted longevity-related proteins such as apolipoprotein E (APOE) and pleiotrophin (PTN), along with lower S-nitrosylated and higher glycosylated proteins found from post-translational modification proteomics as potential biomarkers. We discuss the molecular mechanisms that could support the above biomarkers' potential for healthy longevity, including metabolic regulation, immune homeostasis maintenance, and resistance to cellular oxidative stress. Moreover, multi-omics studies of various long-lived cohorts are encompassed, focusing on how the integration of various omics technologies has contributed to the understanding of longevity. This comprehensive review aims to provide new biological insights and pave the way for promoting health span.

Indexed as

BiomarkersLongevityMetabolomicsProteomicsHumansOxidative StressBiomarkersBiomarkersLongevityMetabolomicsMulti-omicsProteomics

Identifiers

PMID39512690
PMCPMC11539388

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.