Evidence map›Paper›PMID 36544637›Full record

ArticleAnnals of translational medicine2022

Insufficient sleep disrupts glucose metabolism during pregnancy by inhibiting

Hao Wu, Cong Lu, Xing Li, Xianming Xu, Sufang Wu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. 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
0.2field-weighted citation impact, top 41% 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, 1 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Hao Wu *Department of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.
Cong Lu *Department of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.
Xing LiDepartment of Obstetrics and Gynecology, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xianming XuDepartment of Obstetrics and Gynecology, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Sufang WuDepartment of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.
Nanjing Medical University · CNShanghai First People's Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gestational diabetes mellitus (GDM) impacted about 17 million pregnancies globally and predisposes both the mother and her offspring to metabolic disorders. Insufficient sleep has been shown to be associated with GDM. This study aimed to explore the molecular link between sleep and GDM. Methods: The sleep of pregnant mice was disturbed with motion a rod and the mice received either dimethyl sulfoxide (DMSO) or ZLN005. Insulin resistance was assessed by intraperitoneal glucose tolerance test (GTT). Adenosine triphosphate (ATP), reactive oxygen species (ROS), and cytokines were measured with respective commercial kits. Gene expression was analyzed with quantitative polymerase chain reaction (qPCR), western blot, and/or immunohistochemistry (IHC). Results: Sleep disturbance increased blood glucose level and insulin resistance, increased ROS and inflammatory cytokines, and reduced ATP level in pregnant mice. The expression levels of Conclusions: PGC-1 was a key player in the sleep disorder GDM and might be a target for treatment.

Indexed as

Gestational diabetes mellitus (GDM)insulin resistancePGC-1αsleep disturbanceZLN005

Identifiers

PMID36544637
PMCPMC9761155
OpenAlexW4311186570

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.