Translating vitamin D transcriptomics to clinical evidence: Analysis of data in asthma and chronic obstructive pulmonary disease, followed by clinical data meta-analysis.


Journal

The Journal of steroid biochemistry and molecular biology
ISSN: 1879-1220
Titre abrégé: J Steroid Biochem Mol Biol
Pays: England
ID NLM: 9015483

Informations de publication

Date de publication:
03 2020
Historique:
received: 01 07 2019
revised: 29 09 2019
accepted: 22 10 2019
pubmed: 2 11 2019
medline: 7 7 2020
entrez: 1 11 2019
Statut: ppublish

Résumé

Vitamin D (VitD) continues to trigger intense scientific controversy, regarding both its bi ological targets and its supplementation doses and regimens. In an effort to resolve this dispute, we mapped VitD transcriptome-wide events in humans, in order to unveil shared patterns or mechanisms with diverse pathologies/tissue profiles and reveal causal effects between VitD actions and specific human diseases, using a recently developed bioinformatics methodology. Using the similarities in analyzed transcriptome data (c-SKL method), we validated our methodology with osteoporosis as an example and further analyzed two other strong hits, specifically chronic obstructive pulmonary disease (COPD) and asthma. The latter revealed no impact of VitD on known molecular pathways. In accordance to this finding, review and meta-analysis of published data, based on an objective measure (Forced Expiratory Volume at one second, FEV

Identifiants

pubmed: 31669573
pii: S0960-0760(19)30398-X
doi: 10.1016/j.jsbmb.2019.105505
pii:
doi:

Substances chimiques

Vitamins 0
Vitamin D 1406-16-2

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105505

Subventions

Organisme : European Research Council
ID : 617393
Pays : International

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Niki Malliaraki (N)

Laboratory of Experimental Endocrinology, University of Crete, School of Medicine, Heraklion, Greece; Laboratory of Clinical Chemistry/Biochemistry, University Hospital, Heraklion, Greece.

Kleanthi Lakiotaki (K)

Department of Computer Science, University of Crete, School of Sciences, Heraklion, Greece.

Rodanthi Vamvoukaki (R)

Laboratory of Experimental Endocrinology, University of Crete, School of Medicine, Heraklion, Greece.

George Notas (G)

Laboratory of Experimental Endocrinology, University of Crete, School of Medicine, Heraklion, Greece.

Ioannis Tsamardinos (I)

Department of Computer Science, University of Crete, School of Sciences, Heraklion, Greece; Gnosis Data Analysis PC, Heraklion, Greece.

Marilena Kampa (M)

Laboratory of Experimental Endocrinology, University of Crete, School of Medicine, Heraklion, Greece.

Elias Castanas (E)

Laboratory of Experimental Endocrinology, University of Crete, School of Medicine, Heraklion, Greece. Electronic address: castanas@uoc.gr.

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Classifications MeSH