Evidence map›Paper›PMID 39297407›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

PARN Maintains RNA Stability to Regulate Insulin Maturation and GSIS in Pancreatic β Cells.

Xiaomei Xie, Xuexue Chen, Chaofan Wang, Longjie Sun, Weiru Yu, Zheng Lv, Shuang Tian, Xiaohong Yao, Fengchao Wang, Deqiang Ding and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. PARN Maintains RNA Stability to Regulate Insulin Maturation and GSIS in Pancreatic β Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

12 authors.

Xiaomei XieState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Xuexue ChenState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Chaofan WangState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Longjie SunState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Weiru YuKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100190, China.
Zheng LvState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Shuang TianState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Xiaohong YaoState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Fengchao WangNational Institute of Biological Sciences, Beijing, 102206, China.
Deqiang DingShanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
Juan ChenKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100190, China.
Jiali LiuState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.ORCID 0000-0002-6214-569X

Funding

Key Technologies Research and Development Program 2021YFF1000603Key Technologies Research and Development Program 2023YFF1103503National Natural Science Foundation of China 32171111Natural Science Foundation of Beijing Municipality 5222015
6 · The paper itself

Abstract

Diabetes, a metabolic disorder characterized by hyperglycemia, underscores the importance of normal pancreatic β-cell development and function in maintaining glucose homeostasis. Poly(A)-specific ribonuclease (PARN) serves as the principal regulator of messenger RNA (mRNA) stability, yet its specific role in pancreatic β cells remains unclear. This study utilizes mice with targeted PARN deficiency in β cells to elucidate this role. Notably, Parn conditional knockout mice present unaltered β-cell development and insulin sensitivity but reduced glucose-stimulated insulin secretion (GSIS). The observed outcomes are corroborated in NIT-1 cells. Furthermore, transcriptomic analyses reveal aberrant mRNA expression of genes crucial for insulin secretion in PARN-deficient β cells. Insights from linear amplification of complementary DNA ends and sequencing and coimmunoprecipitation experiments reveal an interaction between PARN and polypyrimidine tract-binding protein 1 (PTBP1), regulating the RNA stability of solute carrier family 30, member 8 (Slc30a8) and carbohydrate sulfotransferase 3 (Chst3). Interference with either PARN or PTBP1 disrupts this stability. These data indicate that PARN deficiency hampers GSIS and insulin maturation by destabilizing Slc30a8 and Chst3 RNAs. These findings provide compelling evidence indicating that PARN is a potential therapeutic target for enhancing insulin maturation and secretion.

Indexed as

InsulinInsulin-Secreting CellsMice, KnockoutPolypyrimidine Tract-Binding ProteinRNA StabilityAnimalsGlucoseHeterogeneous-Nuclear RibonucleoproteinsInsulin SecretionMiceGlucoseHeterogeneous-Nuclear RibonucleoproteinsInsulinPolypyrimidine Tract-Binding ProteinPtbp1 protein, mouseinsulin maturation and secretionRNA binding proteinβ cell

Identifiers

PMID39297407
PMCPMC11558150

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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.