Evidence map›Paper›PMID 29750025›Full record

ArticleClinical interventions in aging2018

Metabolomics study of the therapeutic mechanism of

Jinghui Sun, Shu Jing, Rui Jiang, Chunmei Wang, Chengyi Zhang, Jianguang Chen, He Li

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Frontiers in medicine · 2026
    Review
  2. The stem ofFrontiers in immunology · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Nutrients · 2022
    Article
  8. Review
  9. Article
  10. Article
  11. Inhibitory Effects ofPharmaceutics · 2021
    Article
  12. Article
  13. Article
  14. Potential ofNutrients · 2019
    Review
  15. 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

7 authors at 1 institution in 1 country.

Jinghui SunDepartment of Pharmacology, College of Pharmacy, Beihua University, Jilin, People's Republic of China.
Shu JingGeneral Surgery Area, Affiliated Hospital of Beihua University, Jilin, People's Republic of China.
Rui JiangJilin Technology Innovation Center for Chinese Medicine Biotechnology, College of Chemistry and Biology, Beihua University, Jilin, People's Republic of China.
Chunmei WangDepartment of Pharmacology, College of Pharmacy, Beihua University, Jilin, People's Republic of China.
Chengyi ZhangDepartment of Pharmacology, College of Pharmacy, Beihua University, Jilin, People's Republic of China.
Jianguang ChenDepartment of Pharmacology, College of Pharmacy, Beihua University, Jilin, People's Republic of China.
He LiDepartment of Pharmacology, College of Pharmacy, Beihua University, Jilin, People's Republic of China.
Beihua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to evaluate the antiaging effect of

methodsForty male Wistar rats were randomly divided into control group, d-gal model group, low-dose SCL group (50 mg/kg/d), medium-dose SCL group (100 mg/kg/d), and high-dose SCL group (200 mg/kg/d). A serum metabolomics analysis method based on rapid resolution liquid chromatography coupled with quadruple-time-of-flight mass spectrometry was carried out to study the characteristics of d-gal-induced aging rats and evaluate the antiaging effects of SCL, and multivariate statistical analysis was performed for pattern recognition and characteristic metabolites identification. The relative levels of p19, p53, and p21 genes in the brain tissue were measured by quantitative real-time polymerase chain reaction for investigating the underlying mechanism.

resultsMetabolomics analysis showed that 15 biomarkers were identified and 13 of them recovered to the normal levels after the administration of SCL. Based on the pathway analysis, the antiaging mechanisms of SCL might be involved in the following metabolic pathways: energy, amino acid, lipid, and phospholipid metabolism. Furthermore, SCL significantly inhibited the mRNA expression level of p19, p53, and p21 in the brain of aging rats induced by d-gal.

conclusionThese results suggest that SCL can delay rat aging induced by d-gal through multiple pathways.

Indexed as

AgingLignansSchisandraAnimalsBiomarkersChromatography, LiquidMaleMass SpectrometryMetabolic Networks and PathwaysMetabolomicsPlant ExtractsRatsRats, WistarRejuvenationBiomarkersLignansPlant ExtractsagingmetabolomicsratRRLC-Q-TOF-MSRT-PCRSchisandra chinensis lignans

Identifiers

PMID29750025
PMCPMC5935080
OpenAlexW2800854396

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.