Evidence map›Paper›PMID 40439685›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Comprehensive Characterization of Bihormonal Cells and Endocrine Cell Lineages in Mammalian Pancreatic Islets.

Xin-Xin Yu, Peng Peng, Yi-Ning Wang, Mao-Yang He, Shuang He, Chen-Tao Jin, Liu Yang, Xi Wang, Jia-Xi Zheng, Jie Gao and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Xin-Xin YuState Key Laboratory of Female Fertility Promotion, Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Peng PengState Key Laboratory of Female Fertility Promotion, Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Yi-Ning WangState Key Laboratory of Female Fertility Promotion, Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Mao-Yang HeState Key Laboratory of Female Fertility Promotion, Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Shuang HePeking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
Chen-Tao JinState Key Laboratory of Female Fertility Promotion, Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Liu YangState Key Laboratory of Female Fertility Promotion, Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Xi WangState Key Laboratory of Female Fertility Promotion, Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Jia-Xi ZhengDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, 100044, China.
Jie GaoDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, 100044, China.
Cheng-Ran XuState Key Laboratory of Female Fertility Promotion, Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.ORCID https://orcid.org/0000-0002-0583-4464

Funding

National Key Research and Development Program of China 2023YFA1800600National Key Research and Development Program of China 2024YFA1802900National Natural Science Foundation of China 32000566National Natural Science Foundation of China 32030034National Natural Science Foundation of China 32125014National Natural Science Foundation of China 81871291Peking-Tsinghua Center for Life Sciences
6 · The paper itself

Abstract

Understanding the role and prevalence of bihormonal cells in pancreatic islets and their potential in β-cell restoration is critical but remains ambiguous. Using genetically engineered mouse strains with specific fluorescent markers and advanced imaging flow cytometry, it is found that bihormonal cells are exceedingly rare. Single-cell RNA sequencing reveals that Gcg

Indexed as

Cell LineageGlucagon-Secreting CellsInsulin-Secreting CellsIslets of LangerhansAnimalsHumansMicebihormonal cellsendocrine cell heterogeneitygene coexpression networkimaging flow cytometrypancreatic isletssingle‐cell RNA sequencingδ‐cell subpopulations

Identifiers

PMID40439685
PMCPMC12376548

What OpenQuestion holds

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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.