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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
18 05 2021
Historique:
received: 22 01 2021
accepted: 15 04 2021
entrez: 19 5 2021
pubmed: 20 5 2021
medline: 29 10 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34006945
doi: 10.1038/s41598-021-88698-3
pii: 10.1038/s41598-021-88698-3
pmc: PMC8131353
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10494

Subventions

Organisme : RRD VA
ID : I01 RX002860
Pays : United States
Organisme : RRD VA
ID : I50 RX003002
Pays : United States

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Auteurs

Kolja Becker (K)

Global Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.

Holger Klein (H)

Global Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.

Eric Simon (E)

Global Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.

Coralie Viollet (C)

Global Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.

Christian Haslinger (C)

Global Computational Biology & Digital Sciences, Boehringer Ingelheim RCV GmbH & Co. KG, Vienna, Austria.

German Leparc (G)

Translational Medicine & Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.

Christian Schultheis (C)

Translational Medicine & Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.

Victor Chong (V)

Therapeutic Area CNS Retinopathies Emerging Areas, BI International GmbH, Ingelheim, Germany.

Markus H Kuehn (MH)

Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
Department of Veterans Affairs, Center for the Prevention and Treatment of Visual Loss, Iowa City, IA, 52246, USA.

Francesc Fernandez-Albert (F)

Global Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany. francesc.fernandez-albert@boehringer-ingelheim.com.

Remko A Bakker (RA)

Global Department Cardio-Metabolic Diseases Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany. remko.bakker@boehringer-ingelheim.com.

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Classifications MeSH