Evidence map›Paper›PMID 35542168›Full record

ArticleRSC advances2018

LC-MS-based plasma metabolomics reveals metabolic variations in ovariectomy-induced osteoporosis in female Wistar rats.

Yan Hu, Xiaojian Zhang, Yu Shan

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2018. 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
0.1field-weighted citation impact, top 52% 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, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  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

3 authors at 1 institution in 2 countries.

Yan HuClinical Laboratory, The First People's Hospital of Wujiang, Wujiang Hospital Affiliated to Nantong University Soochow 215200 China.
Xiaojian ZhangDepartment of Orthopedics, The First People's Hospital of Wujiang, Wujiang Hospital Affiliated to Nantong University Soochow 215200 China sshanyu123@sian.com +86-0512-63983189 +86-0512-63983189.
Yu ShanDepartment of Orthopedics, The First People's Hospital of Wujiang, Wujiang Hospital Affiliated to Nantong University Soochow 215200 China sshanyu123@sian.com +86-0512-63983189 +86-0512-63983189.ORCID https://orcid.org/0000-0001-7789-6739
Soochow University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis with a reduction in bone mineral density has become one of the most common metabolic bone diseases. Postmenopausal women are a high-risk group that suffers from osteoporosis when the production of estrogen in their body rapidly declines. Early prediction and diagnosis of osteoporosis will be conducive to having a greater chance to control the deterioration in condition of osteoporosis patients; however, there are still no effective measures in practice. In this study, we aimed at exploring metabolic variations in postmenopausal osteoporosis using ovariectomized female rats as an animal model. The research was performed using liquid chromatography/mass spectrometry (LC/MS) combined with multivariate statistical analysis for plasma metabolome analysis. The results reveal that metabolic variations of ovariectomized-induced osteoporosis involve 18 differentially expressed metabolites and 13 related metabolism pathways such as valine, leucine and isoleucine biosynthesis as well as arachidonic acid and glycerophospholipid metabolism. Notably, the ingenuity pathway analysis platform for further understanding the relationship between metabolic alteration and osteoporosis shows that the change in the levels of metabolites mainly lead to the abnormal state of cellular compromise, cell signaling, inflammation, molecular transport and lipid metabolism. Metabolomics, as a novel way to characterize resolute endogenous small metabolites in organisms, describes the variation in the early stages of metabolic alteration for offering valuable information on pathogenic mechanisms.

Identifiers

PMID35542168
PMCPMC9082330
OpenAlexW2864934249

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.