Evidence map›Paper›PMID 34483672›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

High-Throughput Screening of Mouse Gene Knockouts Identifies Established and Novel High Body Fat Phenotypes.

David R Powell, Jean-Pierre Revelli, Deon D Doree, Christopher M DaCosta, Urvi Desai, Melanie K Shadoan, Lawrence Rodriguez, Michael Mullens, Qi M Yang, Zhi-Ming Ding and 7 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Functions of the RIP kinase family members in the skin.Cellular and molecular life sciences : CMLS · 2023
    Review
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  9. Mice LackingDiabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
  10. Frontiers in neuroscience · 2022
    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

17 authors at 1 institution in 1 country.

David R PowellDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.ORCID 0000-0001-8072-388X
Jean-Pierre RevelliDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.ORCID 0000-0002-4789-3104
Deon D DoreeDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.
Christopher M DaCostaDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.
Urvi DesaiDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.
Melanie K ShadoanDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.
Lawrence RodriguezDepartment of Information Technology, Lexicon Pharmaceuticals, Inc, The Woodlands, Tx, USA.
Michael MullensDepartment of Information Technology, Lexicon Pharmaceuticals, Inc, The Woodlands, Tx, USA.
Qi M YangDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.
Zhi-Ming DingDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.
Laura L KirkpatrickDepartment of Molecular Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, Tx, USA.
Peter VogelDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.
Brian ZambrowiczDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.ORCID 0000-0001-8831-0406
Arthur T SandsDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.
Kenneth A PlattDepartment of Molecular Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, Tx, USA.
Gwenn M HansenDepartment of Molecular Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, Tx, USA.ORCID 0000-0003-2504-5849
Robert BrommageDepartment of Pharmaceutical Biology, Lexicon Pharmaceuticals, Inc, The Woodlands, TX, USA.ORCID 0000-0002-9947-3822
Lexicon Pharmaceuticals (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObesity is a major public health problem. Understanding which genes contribute to obesity may better predict individual risk and allow development of new therapies. Because obesity of a mouse gene knockout (KO) line predicts an association of the orthologous human gene with obesity, we reviewed data from the Lexicon Genome5000 MATERIALS AND

methodsKO lines were generated using homologous recombination or gene trapping technologies. HTS body composition analyses were performed on adult wild-type and homozygous KO littermate mice from 3758 druggable mouse genes having a human ortholog. Body composition was measured by either DXA or QMR on chow-fed cohorts from all 3758 KO lines and was measured by QMR on independent high fat diet-fed cohorts from 2488 of these KO lines. Where possible, comparisons were made to HTS data from the International Mouse Phenotyping Consortium (IMPC).

resultsBody fat data are presented for 75 KO lines. Of 46 KO lines where independent external published and/or IMPC KO lines are reported as obese, 43 had increased body fat. For the remaining 29 novel high body fat KO lines,

conclusionThese data support the finding of high body fat in 43 independent external published and/or IMPC KO lines. A novel obese phenotype was identified in 29 additional KO lines, with 27 still lacking the external confirmation now provided for

Indexed as

druggablegene trappinghomologous recombinationobesity

Identifiers

PMID34483672
PMCPMC8409770
OpenAlexW3197828997

What Socratic 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 Socratic graph.