Evidence map›Paper›PMID 35343058›Full record

ArticleAging cell2022

System-level metabolic modeling facilitates unveiling metabolic signature in exceptional longevity.

Gong-Hua Li, Feifei Han, Fu-Hui Xiao, Kang-Su-Yun Gu, Qiu Shen, Weihong Xu, Wen-Xing Li, Yan-Li Wang, Bin Liang, Jing-Fei Huang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025
    Review
  12. Review
  13. Article
  14. Article
  15. Biomarkers of aging.Science China. Life sciences · 2023
    Review
  16. Article
  17. Effect of Familial Longevity on Frailty and Sarcopenia: A Case-Control Study.International journal of environmental research and public health · 2023
    Observational
  18. Article
  19. Article
  20. Construction and contextualization approaches for protein-protein interaction networks.Computational and structural biotechnology journal · 2022
    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

12 authors at 3 institutions in 3 countries.

Gong-Hua LiState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.ORCID 0000-0002-9311-6613
Feifei HanHarvard Medical School, Immune and Metabolic Computational Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Fu-Hui XiaoState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.ORCID 0000-0001-7478-7801
Kang-Su-Yun GuState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Qiu ShenState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Weihong XuHarvard Medical School, Immune and Metabolic Computational Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Wen-Xing LiState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Yan-Li WangState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Bin LiangState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Jing-Fei HuangState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Wenzhong XiaoHarvard Medical School, Immune and Metabolic Computational Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Qing-Peng KongState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.ORCID 0000-0002-6046-4494
Kunming Institute of Zoology · CNKunming University · CNHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although it is well known that metabolic control plays a crucial role in regulating the health span and life span of various organisms, little is known for the systems metabolic profile of centenarians, the paradigm of human healthy aging and longevity. Meanwhile, how to well characterize the system-level metabolic states in an organism of interest remains to be a major challenge in systems metabolism research. To address this challenge and better understand the metabolic mechanisms of healthy aging, we developed a method of genome-wide precision metabolic modeling (GPMM) which is able to quantitatively integrate transcriptome, proteome and kinetome data in predictive modeling of metabolic networks. Benchmarking analysis showed that GPMM successfully characterized metabolic reprogramming in the NCI-60 cancer cell lines; it dramatically improved the performance of the modeling with an R

Indexed as

Healthy AgingLongevityAged, 80 and overAgingHumansMetabolomicsTranscriptomeagingGPMMlongevitymetabolic modelingomics integrationsystems biology

Identifiers

PMID35343058
PMCPMC9009231
OpenAlexW4220889742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.