Evidence map›Paper›PMID 35216174›Full record

ArticleInternational journal of molecular sciences2022

Whole Body

Sarbani Ghoshal, Sandip Mukherjee, Molee Chakraborty, Eliwaza Naomi Msengi, Jake Haubner, Anutosh Chakraborty

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  6. 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

6 authors at 2 institutions in 1 country.

Sarbani GhoshalDepartment of Metabolism and Aging, The Scripps Research Institute, Jupiter, FL 33458, USA.ORCID 0000-0002-1089-084X
Sandip MukherjeeDepartment of Pharmacology and Physiology, Saint Louis University School of Medicine, Saint Louis, MO 63104, USA.
Molee ChakrabortyDepartment of Pharmacology and Physiology, Saint Louis University School of Medicine, Saint Louis, MO 63104, USA.
Eliwaza Naomi MsengiDepartment of Pharmacology and Physiology, Saint Louis University School of Medicine, Saint Louis, MO 63104, USA.
Jake HaubnerDepartment of Pharmacology and Physiology, Saint Louis University School of Medicine, Saint Louis, MO 63104, USA.
Anutosh ChakrabortyDepartment of Metabolism and Aging, The Scripps Research Institute, Jupiter, FL 33458, USA.
Saint Louis University · USScripps Research Institute · US

Funding

NIH HHS NIDDK-R01DK103746
6 · The paper itself

Abstract

(1) Background: We previously demonstrated that disruption of IP6K1 improves metabolism, protecting mice from high-fat diet-induced obesity, insulin resistance, and non-alcoholic fatty liver disease and steatohepatitis. Age-induced metabolic dysfunction is a major risk factor for metabolic diseases. The involvement of IP6K1 in this process is unknown. (2) Methods: Here, we compared body and fat mass, insulin sensitivity, energy expenditure and serum-, adipose tissue- and liver-metabolic parameters of chow-fed, aged, wild type (

Indexed as

Energy MetabolismInsulin ResistanceWeight GainAgingAMP-Activated Protein Kinase KinasesAnimalsGene DeletionMaleMiceMice, Inbred C57BLPhosphotransferases (Phosphate Group Acceptor)Proto-Oncogene Proteins c-aktUncoupling Protein 1AMP-Activated Protein Kinase KinasesIP6K1 protein, humanPhosphotransferases (Phosphate Group Acceptor)Proto-Oncogene Proteins c-aktUcp1 protein, mouseUncoupling Protein 1adipose tissue browningaginginsulin resistanceIP6K1metabolismweight gain

Identifiers

PMID35216174
PMCPMC8878859
OpenAlexW4213278711

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.