Evidence map›Paper›PMID 40130935›Full record

ArticleActa neuropsychiatrica2025

The immune checkpoint pathophysiology of depression and chronic fatigue syndrome due to preeclampsia: focus on sCD80 and sCTLA-4.

Jangir Sami Omar, Niaz Albarzinji, Mengqi Niu, Naz Hawree Taher, Bayar Aram, Mohammed Salam Sulaiman, Shatha Rouf Moustafa, Hussein Kadhem Al-Hakeim, Michael Maes

Abstract read
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Article in Acta neuropsychiatrica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jangir Sami OmarCollege of Medicine, Hawler Medical University, Erbil, Iraq.
Niaz AlbarzinjiErbil Center KHCMS, College of Medicine, Hawler Medical University, Erbil, Iraq.
Mengqi NiuSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Naz Hawree TaherCollege of Pharmacy, Hawler Medical University, Erbil, Iraq.
Bayar AramBaharka Hospital, Erbil, Iraq.
Mohammed Salam SulaimanHawler Medical University, College of Pharmacy, Erbil, Iraq.
Shatha Rouf MoustafaClinical Analysis Department, College of Pharmacy, Hawler Medical University, Erbil, Iraq.
Hussein Kadhem Al-HakeimDepartment of Chemistry, College of Science, University of Kufa, Iraq.ORCID https://orcid.org/0000-0001-6143-5196
Michael MaesSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0000-0002-2012-871X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeuropsychiatric disorders in preeclampsia (PE) women are prevalent and worsen PE outcome. Immune-related biomarkers including soluble sCD80 and cytotoxic T-lymphocyte antigen-4 (sCTLA-4) are not well studied in relation to depression, anxiety, and chronic fatigue due to PE.

methodsThe aim is to study serum immune-inflammatory biomarkers of PE and delineate their associations with the Hamilton Depression (HAMD), Anxiety (HAMA), and Fibro-Fatigue (FF) rating Scale scores. sCD80, sCTLA-4, vitamin D, granulocyte-macrophage colony-stimulating factor, zinc, copper, magnesium, and calcium were measured in 90 PE compared with 60 non-PE pregnant women.

resultsPE women show higher depression, anxiety and FF rating scale scores as compared with control women. sCTLA-4, sCD80, and copper were significantly higher and zinc, magnesium, and calcium significantly lower in PE women than in controls. Multiple regression analysis showed that around 55.8%-58.0% of the variance in the HAMD, HAMA and FF scores was explained by the regression on biomarkers; the top 3 most important biomarkers were sCTLA-4, sCD80, and vitamin D. The sCTLA-4/sCD80 ratio was significantly and inversely associated with the HAMD/HAMA/FF scores. We found that around 70% of the variance in systolic blood pressure could be explained by sCTLA-4, vitamin D, calcium, and copper.

conclusionsThe findings underscore that PE and depression, anxiety, and chronic fatigue symptoms due to PE are accompanied by activation of the immune-inflammatory response system. More specifically, disbalances among soluble checkpoint molecules seem to be involved in the pathophysiology of hypertension and neuropsychiatric symptoms due to PE.

Indexed as

Antigens, CDDepressionFatigue Syndrome, ChronicPre-EclampsiaAdultAnxietyBiomarkersFemaleHumansPregnancyAntigens, CDBiomarkersaffective disordersbiomarkerschronic fatigue syndromeinflammationNeuroimmune

Identifiers

PMID40130935
PMCPMC13130256

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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.