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Modeling SARS-CoV-2 infection in individuals with opioid use disorder with brain organoids.
Willner, Moshe J; Xiao, Yang; Kim, Hye Sung; Chen, Xuejing; Xu, Bin; Leong, Kam W.
  • Willner MJ; Department of Biomedical Engineering, Columbia University, New York, NY, USA.
  • Xiao Y; Department of Biomedical Engineering, Columbia University, New York, NY, USA.
  • Kim HS; Department of Biomedical Engineering, Columbia University, New York, NY, USA.
  • Chen X; Institute of Tissue Regeneration Engineering, Dankook University, Cheonan, Republic of Korea.
  • Xu B; Department of Regenerative Dental Medicine, College of Dentistry, Dankook University, Cheonan, Republic of Korea.
  • Leong KW; Cell & Matter Institute, Dankook University, Cheonan, Republic of Korea.
J Tissue Eng ; 12: 2041731420985299, 2021.
Article in English | MEDLINE | ID: covidwho-1133534
ABSTRACT
The COVID-19 pandemic has aggravated a preexisting epidemic the opioid crisis. Much literature has shown that the circumstances imposed by COVID-19, such as social distancing regulations, medical and financial instability, and increased mental health issues, have been detrimental to those with opioid use disorder (OUD). In addition, unexpected neurological sequelae in COVID-19 patients suggest that COVID-19 compromises neuroimmunity, induces hypoxia, and causes respiratory depression, provoking similar effects as those caused by opioid exposure. Combined conditions of COVID-19 and OUD could lead to exacerbated complications. With limited human in vivo options to study these complications, we suggest that iPSC-derived brain organoid models may serve as a useful platform to investigate the physiological connection between COVID-19 and OUD. This mini-review highlights the advances of brain organoids in other neuropsychiatric and infectious diseases and suggests their potential utility for investigating OUD and COVID-19, respectively.
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Full text: Available Collection: International databases Database: MEDLINE Topics: Long Covid Language: English Journal: J Tissue Eng Year: 2021 Document Type: Article Affiliation country: 2041731420985299

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Full text: Available Collection: International databases Database: MEDLINE Topics: Long Covid Language: English Journal: J Tissue Eng Year: 2021 Document Type: Article Affiliation country: 2041731420985299