Evidence map›Paper›PMID 34731614›Full record

ArticleCell reports2021

Single-cell analysis of the human pancreas in type 2 diabetes using multi-spectral imaging mass cytometry.

Minghui Wu, Michelle Y Y Lee, Varun Bahl, Daniel Traum, Jonathan Schug, Irina Kusmartseva, Mark A Atkinson, Guanjie Fan, HPAP Consortium, Klaus H Kaestner

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 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

10 authors at 3 institutions in 3 countries.

Minghui WuDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Philadelphia, PA 19104, USA; The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510720, China.
Michelle Y Y LeeDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Philadelphia, PA 19104, USA; Genomics and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA.
Varun BahlDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Philadelphia, PA 19104, USA.
Daniel TraumDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jonathan SchugDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Philadelphia, PA 19104, USA.
Irina KusmartsevaDepartments of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL 32610, USA.
Mark A AtkinsonDepartments of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL 32610, USA; Department of Pediatrics, University of Florida Diabetes Institute, College of Medicine, Gainesville, FL 32610, USA; The Human Pancreas Analysis Program (RRID:SCR_016202).
Guanjie FanThe Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510720, China; Department of Endocrinology, the Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510105, China.
HPAP ConsortiumThe Human Pancreas Analysis Program (RRID:SCR_016202).
Klaus H KaestnerDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: kaestner@pennmedicine.upenn.edu.
University of Pennsylvania · USGuangzhou University of Chinese Medicine · CNUniversity of Florida · US

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MITCHELL A. LAZAR · 1986 to 2026
$48.3M
Human Pancreas Analysis Program for Type 1 Diabetes - HPAP-T1DU01DK112217 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MARK A. ATKINSON, KLAUS H KAESTNER · 2021 to 2026
$46.8M
Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · PI Todd Michael Brusko · 1997 to 2026
$32.9M
Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OWEN P MCGUINNESS · 2012 to 2026
$29.3M
The Human Pancreas Analysis Program for Type 2 DiabetesU01DK123594 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Robert Babak Faryabi, KLAUS H KAESTNER · 2019 to 2026
$25.0M
NIAID NIH HHS P01 AI042288NIDDK NIH HHS P30 DK019525NIDDK NIH HHS P30 DK020593NIDDK NIH HHS U01 DK112217NIDDK NIH HHS U01 DK123594
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2D) is a chronic age-related disorder characterized by hyperglycemia due to the failure of pancreatic beta cells to compensate for increased insulin demand. Despite decades of research, the pathogenic mechanisms underlying T2D remain poorly defined. Here, we use imaging mass cytometry (IMC) with a panel of 34 antibodies to simultaneously quantify markers of pancreatic exocrine, islet, and immune cells and stromal components. We analyze over 2 million cells from 16 pancreata obtained from donors with T2D and 13 pancreata from age-similar non-diabetic controls. In the T2D pancreata, we observe significant alterations in islet architecture, endocrine cell composition, and immune cell constituents. Thus, both HLA-DR-positive CD8 T cells and macrophages are enriched intra-islet in the T2D pancreas. These efforts demonstrate the utility of IMC for investigating complex events at the cellular level in order to provide insights into the pathophysiology of T2D.

Indexed as

Flow CytometrySingle-Cell AnalysisAdolescentAdultAgedBiomarkersCase-Control StudiesCD8-Positive T-LymphocytesDiabetes Mellitus, Type 2FemaleFluorescent Antibody TechniqueGlucagon-Secreting CellsHLA-DR AntigensHumansInsulin-Secreting CellsMacrophagesBiomarkersHLA-DR Antigenshistopathologyhuman pancreasimaging mass cytometryimmunolabelingmultiplexed imagingspatial informationtype 2 diabetes

Identifiers

PMID34731614
PMCPMC8609965
OpenAlexW3209320363

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.