Evidence map›Paper›PMID 33738089›Full record

ReviewJournal of tissue engineering

Modeling SARS-CoV-2 infection in individuals with opioid use disorder with brain organoids.

Moshe J Willner, Yang Xiao, Hye Sung Kim, Xuejing Chen, Bin Xu, Kam W Leong

Abstract readReview
In one paragraph

Review in Journal of tissue engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Substances of abuse and their effect on SAR-CoV-2 pathogenesis.NeuroImmune pharmacology and therapeutics · 2023
    Review
  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Moshe J WillnerDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Yang XiaoDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Hye Sung KimDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Xuejing ChenDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Bin XuDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA.
Kam W LeongDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.ORCID https://orcid.org/0000-0002-8133-4955

Funding

Integrated Microphysiological System of Cerebral Organoid and Blood Vessel for Disease Modeling and Neuropsychiatric Drug screeningUH3TR002151 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEONG, KAM W · 2020 to 2022
$3.6M
NCATS NIH HHS UH3 TR002151
6 · The paper itself

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.

Indexed as

brain organoidCOVID-19neuropsychiatric diseaseopioid use disorderSARS-CoV-2

Identifiers

PMID33738089
PMCPMC7934045

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.