Evidence map›Paper›PMID 40921414›Full record

ArticleNeuropsychopharmacology reports2025

Impact of Confounding Factors in Human Postmortem Brain Tissues on Gene Expression Profiles: A Comparison of Patients With Schizophrenia, Bipolar Disorder, and Nonpsychiatric Controls.

Masataka Hatano, Atsuko Nagaoka, Kazusa Miyahara, Yuto Hosogai, Risa Shishido, Hideomi Hamasaki, Mizuki Hino, Akiyoshi Kakita, Hiroaki Tomita, Yasuto Kunii and 1 more

Abstract readComparative Study
In one paragraph

Article in Neuropsychopharmacology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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.

Masataka HatanoDepartment of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan.
Atsuko NagaokaDepartment of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.ORCID https://orcid.org/0000-0002-1159-4436
Kazusa MiyaharaDepartment of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.ORCID https://orcid.org/0009-0003-9751-0786
Yuto HosogaiDepartment of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan.
Risa ShishidoDepartment of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan.
Hideomi HamasakiDepartment of Pathology, Brain Research Institute, Niigata University, Niigata, Japan.
Mizuki HinoDepartment of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan.
Akiyoshi KakitaDepartment of Pathology, Brain Research Institute, Niigata University, Niigata, Japan.
Hiroaki TomitaDepartment of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Yasuto KuniiDepartment of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan.ORCID https://orcid.org/0000-0003-1569-7819
Itaru MiuraDepartment of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan.

Funding

Japan Agency for Medical Research and Development JP21wm0425019Japan Society for the Promotion of Science JP24K18734Ministry of Education, Culture, Sports, Science and Technology K02376Niigata University 22002
6 · The paper itself

Abstract

Controlling for confounding factors in postmortem brain studies of psychiatric disorders is crucial, particularly in gene expression analyses. Potential confounding factors include sex, age at death, medication history, agonal state, postmortem interval (PMI), tissue storage duration, tissue pH, and RNA integrity number (RIN). pH and RIN are considered particularly important in gene expression analysis because they accurately reflect mRNA quality. We previously found that pH and RIN affected the levels of genes related to the cell cycle and RNA processing, respectively, and both affected genes involved in energy production and the immune system. In this study, we investigated the influence of confounding factors on gene expression profiles in psychiatric disorders. We measured gene expression levels in the prefrontal cortex of 25 deceased patients with schizophrenia, 10 with bipolar disorder, and 21 nonpsychiatric controls via RNA sequencing, and identified genes associated with pH, RIN, PMI, sex, age at death, tissue storage duration, and antipsychotic drug dose. We identified key molecular pathways through Ingenuity Pathway Analysis. The total number of mRNA variants significantly correlated with gene expression, and each confounding factor was as follows: 139 for sex, 87 for age, 99 for PMI, 35 386 for pH, 11 373 for RIN, and 13 414 for storage duration. We identified strong associations with metabolic, immune, energy production, and DNA repair pathways. The expression of certain genes was strongly associated with different confounding factors; therefore, it is necessary to consider these factors when interpreting the gene expression profile in brain tissue.

Indexed as

Bipolar DisorderBrainPrefrontal CortexSchizophreniaTranscriptomeAdultAgedAged, 80 and overAutopsyFemaleGene Expression ProfilingHumansMaleMiddle AgedPostmortem ChangesRNA, MessengerRNA, Messengerbipolar disorderconfounding factorpostmortem brainRNA‐seqschizophrenia

Identifiers

PMID40921414
PMCPMC12416912

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.