Evidence map›Paper›PMID 35655797›Full record

ArticleFrontiers in endocrinology2022

Transcriptome Analysis of Multiple Metabolic Tissues in High-Salt Diet-Fed Mice.

Fei Mao, E Wang, Jing Xu, Jin Lu, Guofeng Yan, Li Fu, Yang Jiao, Ling Wu, Tiemin Liu, Yao Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Fei MaoSchool of Life Sciences, Fudan University, Shanghai, China.
E WangDepartment of Laboratory Animal Science, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jing XuDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Jin LuDepartment of Laboratory Animal Science, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Guofeng YanDepartment of Laboratory Animal Science, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Li FuDepartment of Laboratory Animal Science, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yang JiaoDepartment of Laboratory Animal Science, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ling WuDepartment of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tiemin LiuSchool of Life Sciences, Fudan University, Shanghai, China.
Yao LiDepartment of Laboratory Animal Science, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNFudan University · CNShanghai Ninth People's Hospital · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-salt diet (HSD) is associated with dysregulated metabolism and metabolic disorders. Although previous studies have indicated its effect on metabolic tissues, the involving molecular mechanisms are not quite understood. In the present study, we provided a comprehensive transcriptome analysis on multiple metabolic tissues of HSD-fed mouse model by RNA sequencing. We observed that several genes associated with

Indexed as

DietMetabolic DiseasesAnimalsGene Expression ProfilingLipogenesisLiverMiceNerve Growth FactorsMANF protein, mouseNerve Growth FactorsHSDlipogenesismetabolismorganokinestranscriptome sequencing

Identifiers

PMID35655797
PMCPMC9152432
OpenAlexW4280620193

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.