Evidence map›Paper›PMID 37895206›Full record

ArticleGenes2023

Genetic Deletion of DNAJB3 Using CRISPR-Cas9, Produced Discordant Phenotypes.

Shadi Nejat, Kalhara R Menikdiwela, Aliyah Efotte, Shane Scoggin, Bolormaa Vandanmagsar, Paul J Thornalley, Mohammed Dehbi, Naima Moustaid-Moussa

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

Shadi NejatDepartment of Nutritional Sciences & Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA.
Kalhara R MenikdiwelaDepartment of Nutritional Sciences & Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA.
Aliyah EfotteDepartment of Nutritional Sciences & Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA.
Shane ScogginDepartment of Nutritional Sciences & Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA.
Bolormaa VandanmagsarPennington Biomedical Research Center, LSU System, Baton Rouge, LA 70808, USA.
Paul J ThornalleyQatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar.ORCID 0000-0001-7659-443X
Mohammed DehbiQatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar.
Naima Moustaid-MoussaDepartment of Nutritional Sciences & Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA.ORCID 0000-0002-7508-8030
Texas Tech University · USHamad bin Khalifa University · QAPennington Biomedical Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several pathways and/or genes have been shown to be dysregulated in obesity-induced insulin resistance (IR) and type 2 diabetes (T2D). We previously showed, for the first time, impaired expression of DNAJB3 mRNA and protein in subjects with obesity, which was concomitant with increased metabolic stress. Restoring the normal expression of DNAJB3 attenuated metabolic stress and improved insulin signaling both in vivo and in vitro, suggesting a protective role of DNAJB3 against obesity and T2D. The precise underlying mechanisms remained, however, unclear. This study was designed to confirm the human studies in a mouse model of dietary obesity-induced insulin resistance, and, if validated, to understand the underlying mechanisms. We hypothesized that mice lacking DNAJB3 would be more prone to high-fat (HF)-diet-induced increase in body weight and body fat, inflammation, glucose intolerance and insulin resistance as compared with wild-type (WT) littermates. Three DNAJB3 knockout (KO) lines were generated (KO 30, 44 and 47), using CRISPR-Cas9. Male and female KO and WT mice were fed a HF diet (45% kcal fat) for 16 weeks. Body weight was measured biweekly, and a glucose tolerance test (GTT) and insulin tolerance test (ITT) were conducted at week 13 and 14, respectively. Body composition was determined monthly by nuclear magnetic resonance (NMR). Following euthanasia, white adipose tissue (WAT) and skeletal muscle were harvested for further analyses. Compared with WT mice, male and female KO 47 mice demonstrated higher body weight and fat mass. Similarly, KO 47 mice also showed a slower rate of glucose clearance in GTT that was consistent with decreased mRNA expression of the GLUT4 gene in WAT but not in the muscle. Both male and female KO 47 mice exhibited higher mRNA levels of the pro-inflammatory marker TNF-a in WAT only, whereas increased mRNA levels of MCP1 chemokine and the ER stress marker BiP/Grp78 were observed in male but not in female KO 47 mice. However, we did not observe the same changes in the other KO lines. Taken together, the phenotype of the DNAJB3 KO 47 mice was consistent with the metabolic changes and low levels of DNAJB3 reported in human subjects. These findings suggest that DNAJB3 may play an important role in metabolic functions and glucose homeostasis, which warrants further phenotyping and intervention studies in other KO 47 and other KO mice, as well as investigating this protein as a potential therapeutic target for obesity and T2D.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceAnimalsBody WeightCRISPR-Cas SystemsDiet, High-FatFemaleGlucoseHSP40 Heat-Shock ProteinsInsulinMaleMiceMice, KnockoutObesityPhenotypeRNA, MessengerDnajb3 protein, mouseGlucoseHSP40 Heat-Shock ProteinsInsulinRNA, Messengeradipose tissueCRISPR-Cas9DNAJB3ER stressglucose homeostasisheat shock proteinsinflammationinsulin resistanceobesitytype 2 diabetes

Identifiers

PMID37895206
PMCPMC10606339
OpenAlexW4386996314

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.