Evidence map›Paper›PMID 34006945›Full record

ArticleScientific reports2021

In-depth transcriptomic analysis of human retina reveals molecular mechanisms underlying diabetic retinopathy.

Kolja Becker, Holger Klein, Eric Simon, Coralie Viollet, Christian Haslinger, German Leparc, Christian Schultheis, Victor Chong, Markus H Kuehn, Francesc Fernandez-Albert and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
9.9field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. The Hippo signalling pathway and its impact on eye diseases.Journal of cellular and molecular medicine · 2024
    Pooled it
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  7. Multi-Omics Analysis of a Spontaneous Type 2 Diabetes Model inInternational journal of molecular sciences · 2026
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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

11 authors at 3 institutions in 4 countries.

Kolja BeckerGlobal Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.
Holger KleinGlobal Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.
Eric SimonGlobal Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.
Coralie ViolletGlobal Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.
Christian HaslingerGlobal Computational Biology & Digital Sciences, Boehringer Ingelheim RCV GmbH & Co. KG, Vienna, Austria.
German LeparcTranslational Medicine & Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.
Christian SchultheisTranslational Medicine & Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.
Victor ChongTherapeutic Area CNS Retinopathies Emerging Areas, BI International GmbH, Ingelheim, Germany.
Markus H KuehnDepartment of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
Francesc Fernandez-AlbertGlobal Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany. francesc.fernandez-albert@boehringer-ingelheim.com.
Remko A BakkerGlobal Department Cardio-Metabolic Diseases Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany. remko.bakker@boehringer-ingelheim.com.
Boehringer Ingelheim (Germany) · DEBoehringer Ingelheim (Austria) · ATVeterans Health Administration · US

Funding

T-cell mediated RGC damage in glaucoma Diversity Initiative SupplementR01EY034534 · NEI · UNIVERSITY OF IOWA · PI MARKUS H. KUEHN · 2023 to 2026
$2.5M
NEI NIH HHS R01 EY034534RRD VA I01 RX002860
6 · The paper itself

Abstract

Diabetic Retinopathy (DR) is among the major global causes for vision loss. With the rise in diabetes prevalence, an increase in DR incidence is expected. Current understanding of both the molecular etiology and pathways involved in the initiation and progression of DR is limited. Via RNA-Sequencing, we analyzed mRNA and miRNA expression profiles of 80 human post-mortem retinal samples from 43 patients diagnosed with various stages of DR. We found differentially expressed transcripts to be predominantly associated with late stage DR and pathways such as hippo and gap junction signaling. A multivariate regression model identified transcripts with progressive changes throughout disease stages, which in turn displayed significant overlap with sphingolipid and cGMP-PKG signaling. Combined analysis of miRNA and mRNA expression further uncovered disease-relevant miRNA/mRNA associations as potential mechanisms of post-transcriptional regulation. Finally, integrating human retinal single cell RNA-Sequencing data revealed a continuous loss of retinal ganglion cells, and Müller cell mediated changes in histidine and β-alanine signaling. While previously considered primarily a vascular disease, attention in DR has shifted to additional mechanisms and cell-types. Our findings offer an unprecedented and unbiased insight into molecular pathways and cell-specific changes in the development of DR, and provide potential avenues for future therapeutic intervention.

Indexed as

TranscriptomeDiabetic RetinopathyDisease ProgressionGene ExpressionHumansRetinaRetinal Ganglion CellsSequence Analysis, RNASeverity of Illness IndexSingle-Cell Analysis

Identifiers

PMID34006945
PMCPMC8131353
OpenAlexW3161991668

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.