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Coronavirus infections and type 2 diabetes-shared pathways with therapeutic implications.

Identifieur interne : 000766 ( 2020/Analysis ); précédent : 000765; suivant : 000767

Coronavirus infections and type 2 diabetes-shared pathways with therapeutic implications.

Auteurs : Daniel J. Drucker [Canada]

Source :

RBID : pubmed:32294179

Abstract

Individuals with diabetes are at increased risk for bacterial, mycotic, parasitic and viral infections. The severe acute respiratory syndrome (SARS)-CoV2 (also referred to as COVID-19) coronavirus pandemic highlights the importance of understanding shared disease pathophysiology potentially informing therapeutic choices in individuals with Type 2 diabetes (T2D). Two coronavirus receptor proteins, Angiotensin Converting Enzyme 2 (ACE2) and Dipeptidyl Peptidase-4 (DPP4) are also established transducers of metabolic signals and pathways regulating inflammation, renal and cardiovascular physiology, and glucose homeostasis. Moreover, glucose-lowering agents such as the DPP4 inhibitors, widely used in subjects with T2D, are known to modify the biological activities of multiple immunomodulatory substrates. Here we review the basic and clinical science spanning the intersections of diabetes, coronavirus infections, ACE2, and DPP4 biology, highlighting clinical relevance and evolving areas of uncertainty underlying the pathophysiology and treatment of T2D in the context of coronavirus infection.

DOI: 10.1210/endrev/bnaa011
PubMed: 32294179


Affiliations:


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pubmed:32294179

Le document en format XML

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Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/2020/Analysis
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000766 | SxmlIndent | more

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Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    SrasV1
   |flux=    2020
   |étape=   Analysis
   |type=    RBID
   |clé=     pubmed:32294179
   |texte=   Coronavirus infections and type 2 diabetes-shared pathways with therapeutic implications.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/2020/Analysis/RBID.i   -Sk "pubmed:32294179" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/2020/Analysis/biblio.hfd   \
       | NlmPubMed2Wicri -a SrasV1 

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Data generation: Tue Apr 28 14:49:16 2020. Site generation: Sat Mar 27 22:06:49 2021