Evidence map›Paper›PMID 37903900›Full record

ArticleExperimental & molecular medicine2023

Multiparity increases the risk of diabetes by impairing the proliferative capacity of pancreatic β cells.

Joon Ho Moon, Joonyub Lee, Kyun Hoo Kim, Hyun Jung Kim, Hyeongseok Kim, Hye-Na Cha, Jungsun Park, Hyeonkyu Lee, So-Young Park, Hak Chul Jang and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Experimental & molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  12. Effect of Initial Glucose Tolerance Test Response on Pregnancy Outcomes in Type A1 Gestational Diabetes.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
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  17. Evolving Characteristics of Type 2 Diabetes Mellitus in East Asia.Endocrinology and metabolism (Seoul, Korea) · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Joon Ho Moon *Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
Joonyub Lee *Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
Kyun Hoo Kim *Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
Hyun Jung KimGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
Hyeongseok KimGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.ORCID http://orcid.org/0000-0002-7093-0399
Hye-Na ChaDepartment of Physiology, College of Medicine, Yeongnam University, Daegu, Korea.
Jungsun ParkGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
Hyeonkyu LeeGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
So-Young ParkDepartment of Physiology, College of Medicine, Yeongnam University, Daegu, Korea.ORCID http://orcid.org/0000-0002-6018-0440
Hak Chul JangDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, Korea. janghak@snu.ac.kr.
Hail KimGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea. hailkim@kaist.edu.
Korea Advanced Institute of Science and Technology · KRYeungnam University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy imposes a substantial metabolic burden on women, but little is known about whether or how multiple pregnancies increase the risk of maternal postpartum diabetes. In this study, we assessed the metabolic impact of multiple pregnancies in humans and in a rodent model. Mice that underwent multiple pregnancies had increased adiposity, but their glucose tolerance was initially improved compared to those of age-matched virgin mice. Later, however, insulin resistance developed over time, but insulin secretory function and compensatory pancreatic β cell proliferation were impaired in multiparous mice. The β cells of multiparous mice exhibited aging features, including telomere shortening and increased expression of Cdkn2a. Single-cell RNA-seq analysis revealed that the β cells of multiparous mice exhibited upregulation of stress-related pathways and downregulation of cellular respiration- and oxidative phosphorylation-related pathways. In humans, women who delivered more than three times were more obese, and their plasma glucose concentrations were elevated compared to women who had delivered three or fewer times, as assessed at 2 months postpartum. The disposition index, which is a measure of the insulin secretory function of β cells, decreased when women with higher parity gained body weight after delivery. Taken together, our findings indicate that multiple pregnancies induce cellular stress and aging features in β cells, which impair their proliferative capacity to compensate for insulin resistance.

Indexed as

Diabetes, GestationalInsulin ResistanceInsulin-Secreting CellsAnimalsBlood GlucoseFemaleHumansInsulinMiceObesityParityPregnancyBlood GlucoseInsulin

Identifiers

PMID37903900
PMCPMC10618440
OpenAlexW4388015475

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.