Evidence map›Paper›PMID 34417266›Full record

ReviewDiabetes2021

From Pancreatic β-Cell Gene Networks to Novel Therapies for Type 1 Diabetes.

Decio L Eizirik, Florian Szymczak, Maria Inês Alvelos, Frank Martin

Open access · bronzeAbstract readReview
In one paragraph

Review in Diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 25 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

4 authors at 2 institutions in 2 countries.

Decio L EizirikIndiana Biosciences Research Institute, Indianapolis, IN deizirik@indianabiosciences.org.ORCID 0000-0003-2453-5889
Florian SzymczakULB Center for Diabetes Research and Welbio, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium.
Maria Inês AlvelosULB Center for Diabetes Research and Welbio, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium.ORCID 0000-0003-2897-5646
Frank MartinJDRF, New York, NY.
Université Libre de Bruxelles · BEBreakthrough T1D · US

Funding

The Integrated Stress Response in Human Islets During Early T1DU01DK127786 · NIDDK · UNIVERSITY OF CHICAGO · PI EVANS-MOLINA, CARMELLA, MIRMIRA, RAGHAVENDRA G · 2020 to 2025
$7.1M
NIDDK NIH HHS U01 DK127786
6 · The paper itself

Abstract

Completion of the Human Genome Project enabled a novel systems- and network-level understanding of biology, but this remains to be applied for understanding the pathogenesis of type 1 diabetes (T1D). We propose that defining the key gene regulatory networks that drive β-cell dysfunction and death in T1D might enable the design of therapies that target the core disease mechanism, namely, the progressive loss of pancreatic β-cells. Indeed, many successful drugs do not directly target individual disease genes but, rather, modulate the consequences of defective steps, targeting proteins located one or two steps downstream. If we transpose this to the T1D situation, it makes sense to target the pathways that modulate the β-cell responses to the immune assault-in relation to signals that may stimulate the immune response (e.g., HLA class I and chemokine overexpression and/or neoantigen expression) or inhibit the invading immune cells (e.g., PDL1 and HLA-E expression)-instead of targeting only the immune system, as it is usually proposed. Here we discuss the importance of a focus on β-cells in T1D, lessons learned from other autoimmune diseases, the "alternative splicing connection," data mining, and drug repurposing to protect β-cells in T1D and then some of the initial candidates under testing for β-cell protection.

Indexed as

Gene Regulatory NetworksDiabetes Mellitus, Type 1HumansInsulin-Secreting Cells

Identifiers

PMID34417266
PMCPMC8576417
OpenAlexW3196165388

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.