Evidence map›Paper›PMID 37920504›Full record

ArticleHeliyon2023

Multi-omics reveals aging-related pathway in natural aging mouse liver.

Cong-Min Tang, Zhen Zhang, Yan Sun, Wen-Jing Ding, Xue-Chun Yang, Yi-Ping Song, Ming-Ying Ling, Xue-Hui Li, Rong Yan, Yu-Jing Zheng and 7 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. 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
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
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

17 authors at 1 institution in 1 country.

Cong-Min TangDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Zhen ZhangDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Yan SunDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Wen-Jing DingDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Xue-Chun YangDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Yi-Ping SongDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Ming-Ying LingDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Xue-Hui LiDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Rong YanDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Yu-Jing ZhengShandong Precision Medicine Engineering Laboratory of Bacterial Anti-tumor Drugs, Jinan 250101, Shandong Province, China.
Na YuShandong Precision Medicine Engineering Laboratory of Bacterial Anti-tumor Drugs, Jinan 250101, Shandong Province, China.
Wen-Hua ZhangShandong Precision Medicine Engineering Laboratory of Bacterial Anti-tumor Drugs, Jinan 250101, Shandong Province, China.
Yong WangShandong Precision Medicine Engineering Laboratory of Bacterial Anti-tumor Drugs, Jinan 250101, Shandong Province, China.
Shao-Peng WangShandong Precision Medicine Engineering Laboratory of Bacterial Anti-tumor Drugs, Jinan 250101, Shandong Province, China.
Hai-Qing GaoDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Chuan-Li ZhaoDept of Hematology, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Yan-Qiu XingDepartment of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China.
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is associated with gradual changes in liver structure, altered metabolites and other physiological/pathological functions in hepatic cells. However, its characterized phenotypes based on altered metabolites and the underlying biological mechanism are unclear. Advancements in high-throughput omics technology provide new opportunities to understand the pathological process of aging. Here, in our present study, both metabolomics and phosphoproteomics were applied to identify the altered metabolites and phosphorylated proteins in liver of young (the WTY group) and naturally aged (the WTA group) mice, to find novel biomarkers and pathways, and uncover the biological mechanism. Analysis showed that the body weights, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) increased in the WTA group. The grips decreased with age, while the triglyceride (TG) and cholesterol (TC) did not change significantly. The increase of fibrosis, accumulation of inflammatory cells, hepatocytes degeneration, the deposition of lipid droplets and glycogen, the damaged mitochondria, and deduction of endoplasmic reticulum were observed in the aging liver under optical and electron microscopes. In addition, a network of metabolites and phosphorylated proteomes of the aging liver was established. Metabolomics detected 970 metabolites in the positive ion mode and 778 metabolites in the negative ion mode. A total of 150 pathways were pooled. Phosphoproteomics identified 2618 proteins which contained 16621 phosphosites. A total of 164 pathways were detected. 65 common pathways were detected in two omics. Phosphorylated protein heat shock protein HSP 90-alpha (HSP90A) and v-raf murine viral oncogene homolog B1(BRAF), related to cancer pathway, were significantly upregulated in aged mice liver. Western blot verified that protein expression of MEK and ERK, downstream of BRAF pathway were elevated in the liver of aging mice. However, the protein expression of BRAF was not a significant difference. Overall, these findings revealed a close link between aging and cancer and contributed to our understanding of the multi-omics changes in natural aging.

Indexed as

aginglivermetabolomicsMousePhosphoproteomics

Identifiers

PMID37920504
PMCPMC10618800
OpenAlexW4387776406

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.