Evidence map›Paper›PMID 36677669›Full record

ArticleMolecules (Basel, Switzerland)2023

Analysis of Intestinal Metabolites in SR-B1 Knockout Mice via Ultra-Performance Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry.

Qijun Chen, Lixue Wang, Jinlong Chen, Hui Song, Wen Xing, Ziqian Wang, Xueying Song, Hua Yang, Wenhua Zhao

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 1 institution in 1 country.

Qijun ChenSchool of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China.ORCID 0000-0001-7363-1397
Lixue WangSchool of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China.
Jinlong ChenSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Hui SongSchool of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China.
Wen XingSchool of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China.
Ziqian WangSchool of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China.ORCID 0000-0002-1987-0159
Xueying SongCentral Laboratory, Capital Medical University, Beijing 100069, China.
Hua YangCentral Laboratory, Capital Medical University, Beijing 100069, China.
Wenhua ZhaoSchool of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China.ORCID 0000-0003-4759-6983
Capital Medical University · CN

Funding

the Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions CIT&TCD201304176the National Science Foundation of China 81973442the Scientific Research Common Program of Beijing Municipal Commission of Education KM201910025022
6 · The paper itself

Abstract

Scavenger receptor class B type 1 (SR-B1), a multiligand membrane receptor, is expressed in a gradient along the gastrocolic axis. SR-B1 deficiency enhances lymphocyte proliferation and elevates inflammatory cytokine production in macrophages. However, whether SR-B1 affects intestinal metabolites is unclear. In this study, we detected metabolite changes in the intestinal tissue of SR-B1

Indexed as

Amino AcidsIntestinesAnimalsChromatography, High Pressure LiquidChromatography, LiquidMass SpectrometryMiceMice, KnockoutAmino Acidsamino acidintestinal metaboliteslipidneurotransmitterscavenger receptor class B type 1

Identifiers

PMID36677669
PMCPMC9866485
OpenAlexW4313894794

What Socratic 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 Socratic graph.