Evidence map›Paper›PMID 38349399›Full record

ArticleDiabetologia2024

A novel subpopulation of monocytes with a strong interferon signature indicated by SIGLEC-1 is present in patients with in recent-onset type 1 diabetes.

Mengqi Guo, Han Guo, Jingjing Zhu, Fei Wang, Jianni Chen, Chuan Wan, Yujie Deng, Fang Wang, Lili Xu, Ying Chen and 6 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.3field-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

16 citing papers in PubMed, 15 citations in OpenAlex.

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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

16 authors at 4 institutions in 1 country.

Mengqi Guo *Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.ORCID 0000-0001-7770-5832
Han Guo *Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Jingjing Zhu *Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Fei WangDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Jianni ChenDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Chuan WanDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Yujie DengDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Fang WangDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.ORCID 0000-0003-1093-052X
Lili XuDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Ying ChenDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.ORCID 0000-0002-7772-343X
Ran LiDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Shikai LiuKey Laboratory of Mariculture, Ministry of Education College of Fisheries, Ocean University of China, Qingdao, China.ORCID 0000-0001-5777-489X
Lin ZhangDepartment of Pharmacy, Shaoxing People's Hospital, Shaoxing, Zhejiang Province, China.ORCID 0000-0002-3767-0249
Yangang WangDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. wangyg1966@126.com.
Jing ZhouInstitute of Immunology, Third Military Medical University, Chongqing, China. jingzhou_ac@126.com.
Shufa LiDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. shufali@qdu.edu.cn.ORCID 0000-0002-0272-549X
Qingdao University · CNArmy Medical University · CNOcean University of China · CNShaoxing People's Hospital · CN

Funding

National Natural Science Foundation of China 81570694National Natural Science Foundation of China 82000417Natural Science Foundation of Shandong Province ZR2014HL029
6 · The paper itself

Abstract

aims/hypothesisType 1 diabetes is a T cell-mediated autoimmune disease characterised by pancreatic beta cell destruction. In this study, we explored the pathogenic immune responses in initiation of type 1 diabetes and new immunological targets for type 1 diabetes prevention and treatment.

methodsWe obtained peripheral blood samples from four individuals with newly diagnosed latent autoimmune diabetes in adults (LADA) and from four healthy control participants. Single-cell RNA-sequencing (scRNA-seq) was performed on peripheral blood mononuclear cells to uncover transcriptomic profiles of early LADA. Validation was performed through flow cytometry in a cohort comprising 54 LADA, 17 adult-onset type 2 diabetes, and 26 healthy adults, matched using propensity score matching (PSM) based on age and sex. A similar PSM method matched 15 paediatric type 1 diabetes patients with 15 healthy children. Further flow cytometry analysis was performed in both peripheral blood and pancreatic tissues of non-obese diabetic (NOD) mice. Additionally, cell adoptive transfer and clearance assays were performed in NOD mice to explore the role of this monocyte subset in islet inflammation and onset of type 1 diabetes.

resultsThe scRNA-seq data showed that upregulated genes in peripheral T cells and monocytes from early-onset LADA patients were primarily enriched in the IFN signalling pathway. A new cluster of classical monocytes (cluster 4) was identified, and the proportion of this cluster was significantly increased in individuals with LADA compared with healthy control individuals (11.93% vs 5.93%, p=0.017) and that exhibited a strong IFN signature marked by SIGLEC-1 (encoding sialoadhesin). These SIGLEC-1 CONCLUSIONS/

interpretationOur study identified a novel group of SIGLEC-1 DATA AVAILABILITY: RNA-seq data have been deposited in the GSA human database ( https://ngdc.cncb.ac.cn/gsa-human/ ) under accession number HRA003649.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2AdultAnimalsChildHumansInfantInterferonsLeukocytes, MononuclearMiceMice, Inbred NODMonocytesSialic Acid Binding Ig-like Lectin 1InterferonsSialic Acid Binding Ig-like Lectin 1SIGLEC1 protein, humanInterferon responseLatent autoimmune diabetes in adultsSIGLEC-1+ monocytesSingle-cell transcriptomicsType 1 diabetes

Identifiers

PMID38349399
OpenAlexW4391781750

What OpenQuestion holds

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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.