Home > Publications database > A diabetic milieu increases ACE2 expression and cellular susceptibility to SARS-CoV-2 infections in human kidney organoids and patient cells. > print |
001 | 180319 | ||
005 | 20240229145614.0 | ||
024 | 7 | _ | |a 10.1016/j.cmet.2022.04.009 |2 doi |
024 | 7 | _ | |a pmid:35561674 |2 pmid |
024 | 7 | _ | |a pmc:PMC9097013 |2 pmc |
024 | 7 | _ | |a 1550-4131 |2 ISSN |
024 | 7 | _ | |a 1932-7420 |2 ISSN |
024 | 7 | _ | |a altmetric:128149552 |2 altmetric |
037 | _ | _ | |a DKFZ-2022-01246 |
041 | _ | _ | |a English |
082 | _ | _ | |a 570 |
100 | 1 | _ | |a Garreta, Elena |b 0 |
245 | _ | _ | |a A diabetic milieu increases ACE2 expression and cellular susceptibility to SARS-CoV-2 infections in human kidney organoids and patient cells. |
260 | _ | _ | |a Cambridge, Mass. |c 2022 |b Cell Press |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1655117697_17609 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a It is not well understood why diabetic individuals are more prone to develop severe COVID-19. To this, we here established a human kidney organoid model promoting early hallmarks of diabetic kidney disease development. Upon SARS-CoV-2 infection, diabetic-like kidney organoids exhibited higher viral loads compared with their control counterparts. Genetic deletion of the angiotensin-converting enzyme 2 (ACE2) in kidney organoids under control or diabetic-like conditions prevented viral detection. Moreover, cells isolated from kidney biopsies from diabetic patients exhibited altered mitochondrial respiration and enhanced glycolysis, resulting in higher SARS-CoV-2 infections compared with non-diabetic cells. Conversely, the exposure of patient cells to dichloroacetate (DCA), an inhibitor of aerobic glycolysis, resulted in reduced SARS-CoV-2 infections. Our results provide insights into the identification of diabetic-induced metabolic programming in the kidney as a critical event increasing SARS-CoV-2 infection susceptibility, opening the door to the identification of new interventions in COVID-19 pathogenesis targeting energy metabolism. |
536 | _ | _ | |a 316 - Infektionen, Entzündung und Krebs (POF4-316) |0 G:(DE-HGF)POF4-316 |c POF4-316 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
650 | _ | 7 | |a ACE2 |2 Other |
650 | _ | 7 | |a COVID-19 |2 Other |
650 | _ | 7 | |a SARS-CoV-2 |2 Other |
650 | _ | 7 | |a angiotensin-converting enzyme 2 |2 Other |
650 | _ | 7 | |a diabetes 2 |2 Other |
650 | _ | 7 | |a human kidney organoids |2 Other |
650 | _ | 7 | |a Peptidyl-Dipeptidase A |0 EC 3.4.15.1 |2 NLM Chemicals |
650 | _ | 7 | |a Angiotensin-Converting Enzyme 2 |0 EC 3.4.17.23 |2 NLM Chemicals |
650 | _ | 2 | |a Angiotensin-Converting Enzyme 2 |2 MeSH |
650 | _ | 2 | |a COVID-19 |2 MeSH |
650 | _ | 2 | |a Diabetes Mellitus |2 MeSH |
650 | _ | 2 | |a Diabetic Nephropathies |2 MeSH |
650 | _ | 2 | |a Humans |2 MeSH |
650 | _ | 2 | |a Kidney: metabolism |2 MeSH |
650 | _ | 2 | |a Organoids |2 MeSH |
650 | _ | 2 | |a Peptidyl-Dipeptidase A: genetics |2 MeSH |
650 | _ | 2 | |a Peptidyl-Dipeptidase A: metabolism |2 MeSH |
650 | _ | 2 | |a SARS-CoV-2 |2 MeSH |
700 | 1 | _ | |a Prado, Patricia |b 1 |
700 | 1 | _ | |a Stanifer, Megan L |0 P:(DE-He78)8c3dd76230733f354d346a2fbe8db355 |b 2 |u dkfz |
700 | 1 | _ | |a Monteil, Vanessa |b 3 |
700 | 1 | _ | |a Marco, Andrés |b 4 |
700 | 1 | _ | |a Ullate-Agote, Asier |b 5 |
700 | 1 | _ | |a Moya-Rull, Daniel |b 6 |
700 | 1 | _ | |a Vilas-Zornoza, Amaia |b 7 |
700 | 1 | _ | |a Tarantino, Carolina |b 8 |
700 | 1 | _ | |a Romero, Juan Pablo |b 9 |
700 | 1 | _ | |a Jonsson, Gustav |b 10 |
700 | 1 | _ | |a Oria, Roger |b 11 |
700 | 1 | _ | |a Leopoldi, Alexandra |b 12 |
700 | 1 | _ | |a Hagelkruys, Astrid |b 13 |
700 | 1 | _ | |a Gallo, Maria |b 14 |
700 | 1 | _ | |a González, Federico |b 15 |
700 | 1 | _ | |a Domingo-Pedrol, Pere |b 16 |
700 | 1 | _ | |a Gavaldà, Aleix |b 17 |
700 | 1 | _ | |a Del Pozo, Carmen Hurtado |b 18 |
700 | 1 | _ | |a Hasan Ali, Omar |b 19 |
700 | 1 | _ | |a Ventura-Aguiar, Pedro |b 20 |
700 | 1 | _ | |a Campistol, Josep María |b 21 |
700 | 1 | _ | |a Prosper, Felipe |b 22 |
700 | 1 | _ | |a Mirazimi, Ali |b 23 |
700 | 1 | _ | |a Boulant, Steeve |0 P:(DE-He78)4658b59d5b4e54b919fc63ab1213c78f |b 24 |u dkfz |
700 | 1 | _ | |a Penninger, Josef M |b 25 |
700 | 1 | _ | |a Montserrat, Nuria |b 26 |
773 | _ | _ | |a 10.1016/j.cmet.2022.04.009 |g Vol. 34, no. 6, p. 857 - 873.e9 |0 PERI:(DE-600)2174469-5 |n 6 |p 857 - 873.e9 |t Cell metabolism |v 34 |y 2022 |x 1550-4131 |
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