Evidence map›Paper›PMID 33911068›Full record

ArticleTranslational psychiatry2021

White matter deficits in cocaine use disorder: convergent evidence from in vivo diffusion tensor imaging and ex vivo proteomic analysis.

Lucca Pizzato Tondo, Thiago Wendt Viola, Gabriel R Fries, Bruno Kluwe-Schiavon, Leonardo Mello Rothmann, Renata Cupertino, Pedro Ferreira, Alexandre Rosa Franco, Scott D Lane, Laura Stertz and 6 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

15 citing papers in PubMed, 27 citations in OpenAlex.

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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

16 authors at 5 institutions in 3 countries.

Lucca Pizzato TondoDevelopmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.ORCID 0000-0002-0086-4875
Thiago Wendt ViolaDevelopmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Gabriel R FriesLouis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0002-5468-2612
Bruno Kluwe-SchiavonDevelopmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Leonardo Mello RothmannDevelopmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.ORCID 0000-0001-5988-2368
Renata CupertinoDepartment of Psychiatry, University of Vermont, Burlington, VT, USA.ORCID 0000-0002-3452-0632
Pedro FerreiraDevelopmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.ORCID 0000-0002-9571-0384
Alexandre Rosa FrancoNathan Kline Institute and Child Mind Institute, New York, NY, USA.ORCID 0000-0002-1552-1090
Scott D LaneLouis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
Laura StertzLouis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0002-3477-0914
Ruifeng HuCenter for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0001-5549-3082
Thomas MeyerLouis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
Joy M SchmitzLouis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
Consuelo Walss-BassLouis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
Rodrigo Grassi-OliveiraDevelopmental Cognitive Neuroscience Lab (DCNL), Brain Institute, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil. rogo@clin.au.dk.ORCID 0000-0001-9911-5921
The University of Texas Health Science Center at Houston · USPontifícia Universidade Católica do Rio Grande do Sul · BRAarhus University · DKChild Mind Institute · USUniversity of Vermont · US

Funding

Transforming dbGaP genetic and genomic data to FAIR-ready by artificial intelligence and machine learning algorithmsR01LM012806 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Zhongming Zhao · 2017 to 2026
$3.7M
Gene-environment interactions in COCCaINE Use Disorder: Collaborative Case-Control Initiative in Coccaine AddictionR01DA044859 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI GRASSI-OLIVEIRA, RODRIGO, SCHMITZ, JOY MARIE · 2017 to 2021
$2.8M
NIDA NIH HHS R01 DA044859NLM NIH HHS R01 LM012806
6 · The paper itself

Abstract

White matter (WM) abnormalities in patients with cocaine use disorder (CUD) have been studied; however, the reported effects on the human brain are heterogenous and most results have been obtained from male participants. In addition, biological data supporting the imaging findings and revealing possible mechanisms underlying the neurotoxic effects of chronic cocaine use (CU) on WM are largely restricted to animal studies. To evaluate the neurotoxic effects of CU in the WM, we performed an in vivo diffusion tensor imaging assessment of male and female cocaine users (n = 75) and healthy controls (HC) (n = 58). Moreover, we performed an ex vivo large-scale proteomic analysis using liquid chromatography-tandem mass spectrometry in postmortem brains of patients with CUD (n = 8) and HC (n = 12). Compared with the HC, the CUD group showed significant reductions in global fractional anisotropy (FA) (p < 0.001), and an increase in global mean (MD) and radial diffusion (RD) (both p < 0.001). The results revealed that FA, RD, and MD alterations in the CUD group were widespread along the major WM tracts, after analysis using the tract-based special statistics approach. Global FA was negatively associated with years of CU (p = 0.0421) and female sex (p < 0.001), but not with years of alcohol or nicotine use. Concerning the fibers connecting the left to the right prefrontal cortex, Brodmann area 9 (BA9), the CUD group presented lower FA (p = 0.006) and higher RD (p < 0.001) values compared with the HC group. A negative association between the duration of CU in life and FA values in this tract was also observed (p = 0.019). Proteomics analyses in BA9 found 11 proteins differentially expressed between cocaine users and controls. Among these, were proteins related to myelination and neuroinflammation. In summary, we demonstrate convergent evidence from in vivo diffusion tensor imaging and ex vivo proteomics analysis of WM disruption in CUD.

Indexed as

CocaineWhite MatterAnisotropyBrainDiffusion Tensor ImagingFemaleHumansMaleProteomicsCocaine

Identifiers

PMID33911068
PMCPMC8081729
OpenAlexW3159464036

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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.