Evidence map›Paper›PMID 38864245›Full record

ArticleOpen biology2024

Decoding frontotemporal and cell-type-specific vulnerabilities to neuropsychiatric disorders and psychoactive drugs.

Jiatong Ji, Honglu Chao, Huimei Chen, Jun Liao, Wenqian Shi, Yangfan Ye, Tian Wang, Yongping You, Ning Liu, Jing Ji and 1 more

Abstract read
In one paragraph

Article in Open biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Jiatong Ji *Institute for Big Data and Artificial Intelligence in Medicine, School of Science, China Pharmaceutical University (CPU), Nanjing, Jiangsu 211198, People's Republic of China.
Honglu Chao *Department of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, People's Republic of China.
Huimei ChenInstitute for Big Data and Artificial Intelligence in Medicine, School of Science, China Pharmaceutical University (CPU), Nanjing, Jiangsu 211198, People's Republic of China.
Jun LiaoHigh Performance Computing Center, School of Science, China Pharmaceutical University (CPU), Nanjing, Jiangsu 211198, People's Republic of China.
Wenqian ShiDepartment of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, People's Republic of China.
Yangfan YeDepartment of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, People's Republic of China.
Tian WangDepartment of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, People's Republic of China.
Yongping YouDepartment of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, People's Republic of China.
Ning LiuDepartment of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, People's Republic of China.
Jing JiDepartment of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, People's Republic of China.
Enrico PetrettoInstitute for Big Data and Artificial Intelligence in Medicine, School of Science, China Pharmaceutical University (CPU), Nanjing, Jiangsu 211198, People's Republic of China.ORCID 0000-0003-2163-5921

Funding

Gusu School Nanjing Medical UniversityNational Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNatural Science Foundation of Jiangsu ProvincePriority Academic Program Development of Jiangsu Higher Education InstitutionsScientific Research Foundation for Advanced Talents
6 · The paper itself

Abstract

Frontotemporal lobe abnormalities are linked to neuropsychiatric disorders and cognition, but the role of cellular heterogeneity between temporal lobe (TL) and frontal lobe (FL) in the vulnerability to genetic risk factors remains to be elucidated. We integrated single-nucleus transcriptome analysis in 'fresh' human FL and TL with genetic susceptibility, gene dysregulation in neuropsychiatric disease and psychoactive drug response data. We show how intrinsic differences between TL and FL contribute to the vulnerability of specific cell types to both genetic risk factors and psychoactive drugs. Neuronal populations, specifically PVALB neurons, were most highly vulnerable to genetic risk factors for psychiatric disease. These psychiatric disease-associated genes were mostly upregulated in the TL, and dysregulated in the brain of patients with obsessive-compulsive disorder, bipolar disorder and schizophrenia. Among these genes, GRIN2A and SLC12A5, implicated in schizophrenia and bipolar disorder, were significantly upregulated in TL PVALB neurons and in psychiatric disease patients' brain. PVALB neurons from the TL were twofold more vulnerable to psychoactive drugs than to genetic risk factors, showing the influence and specificity of frontotemporal lobe differences on cell vulnerabilities. These studies provide a cell type resolved map of the impact of brain regional differences on cell type vulnerabilities in neuropsychiatric disorders.

Indexed as

Frontal LobeMental DisordersPsychotropic DrugsTemporal LobeBipolar DisorderGene Expression ProfilingGene Expression RegulationGenetic Predisposition to DiseaseHumansNeuronsReceptors, N-Methyl-D-AspartateSchizophreniaTranscriptomePsychotropic DrugsReceptors, N-Methyl-D-Aspartatefrontal lobepsychiatric disorderpsychoactive drugssingle-cell RNA sequencingtemporal lobe

Identifiers

PMID38864245
PMCPMC11285532

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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.