Evidence map›Paper›PMID 41482566›Full record

ArticleNature metabolism2026

Single-cell perturbations decipher ribosomal stress-surveillance regulators in type 2 diabetes.

Jingminjie Nan, Xianglong He, Xiaoping Liu, Jianrong Ran, Jiahuan Chen, Pengxiao Li, Dongxue Liu, Yanan Sun, Aijing Shan, Xiuli Jiang and 4 more

Abstract read
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In one paragraph

Article in Nature metabolism, 2026. 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
–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

1 citing paper in PubMed.

  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

14 authors.

Jingminjie Nan *Ruijin Yangtze River Delta Health Institute, Wuxi Branch of Ruijin Hospital, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0003-0628-1053
Xianglong He *Ruijin Yangtze River Delta Health Institute, Wuxi Branch of Ruijin Hospital, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoping Liu *Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0003-2384-2991
Jianrong RanRuijin Yangtze River Delta Health Institute, Wuxi Branch of Ruijin Hospital, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiahuan ChenRuijin Yangtze River Delta Health Institute, Wuxi Branch of Ruijin Hospital, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Pengxiao LiNational Research Center for Translational Medicine, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
Dongxue LiuDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yanan SunDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Aijing ShanDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiuli JiangDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jing XieDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weiqing WangDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0003-0197-3106
Guang NingDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-5754-7635
Yanan CaoRuijin Yangtze River Delta Health Institute, Wuxi Branch of Ruijin Hospital, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. caoyanan@vip.sina.com.ORCID http://orcid.org/0000-0002-3848-7040

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82270842
6 · The paper itself

Abstract

Systemic characterization of genes and pathways underlying the genetic architecture of type 2 diabetes (T2D) requires scalable functional genomics approaches. Molecular readouts from CRISPR perturbations can effectively uncover the mechanistic effects of underexplored genes. Here we performed single-cell RNA sequencing on pooled CRISPR screens (Perturb-seq) of 61 T2D-associated genes and 40 ribosome-associated quality control (RQC) genes in human pancreatic β cells (EndoC-βH1) for investigations of insulin production and T2D pathology. We identified 21 functional genes, including the uncharacterized KLHL42 and ZZEF1. Findings from global and β cell-specific knockout male mice, islet organoids and human islets reveal that ZZEF1 is a regulator of insulin synthesis and β cell stress through ribosomal stress-surveillance pathways in working and stress status-defined β cell subtypes. ZZEF1 deficiency impairs β cell function by inhibiting the RQC sensor EDF1, which could be improved by azoramide and ISRIB treatments. These Perturb-seq analyses and identification of functional RQC-related genes can provide potential therapeutic targets for T2D.

Indexed as

Diabetes Mellitus, Type 2RibosomesSingle-Cell AnalysisStress, PhysiologicalAnimalsHumansInsulinInsulin-Secreting CellsMaleMiceMice, KnockoutInsulin

Identifiers

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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.