Evidence map›Paper›PMID 38430800›Full record

ArticleNeuroImage. Clinical2024

Dysregulated cerebral blood flow, rather than gray matter Volume, exhibits stronger correlations with blood inflammatory and lipid markers in depression.

Lijun Kang, Wei Wang, Zhaowen Nie, Qian Gong, Lihua Yao, Dan Xiang, Nan Zhang, Ning Tu, Hongyan Feng, Xiaofen Zong and 5 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 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
2.4field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. 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

15 authors at 4 institutions in 2 countries.

Lijun KangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Wei WangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Zhaowen NieDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Qian GongDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Lihua YaoDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Dan XiangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Nan ZhangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Ning TuPET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China.
Hongyan FengPET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China.
Xiaofen ZongDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Hanping BaiDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Gaohua WangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Fei WangEarly Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China.
Lihong BuPET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China. Electronic address: bulihongs@whu.edu.com.
Zhongchun LiuDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China; Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China. Electronic address: zcliu6@whu.edu.cn.
Renmin Hospital of Wuhan University · CNWuhan University · CNImaging Center · USNanjing Brain Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arterial spin labeling (ASL) can be used to detect differences in perfusion for multiple brain regions thought to be important in major depressive disorder (MDD). However, the potential of cerebral blood flow (CBF) to predict MDD and its correlations between the blood lipid levels and immune markers, which are closely related to MDD and brain function change, remain unclear. The 451 individuals - 298 with MDD and 133 healthy controls who underwent MRI at a single time point with arterial spin labelling and a high resolution T1-weighted structural scan. A proportion of MDD also provided blood samples for analysis of lipid and immune markers. We performed CBF case-control comparisons, random forest model construction, and exploratory correlation analyses. Moreover, we investigated the relationship between gray matter volume (GMV), blood lipids, and the immune system within the same sample to assess the differences in CBF and GMV. We found that the left inferior parietal but supramarginal and angular gyrus were significantly different between the MDD patients and HCs (voxel-wise P < 0.001, cluster-wise FWE correction). And bilateral inferior temporal (ITG), right middle temporal gyrus and left precentral gyrus CBF predict MDD (the area under the receiver operating characteristic curve of the random forest model is 0.717) and that CBF is a more sensitive predictor of MDD than GMV. The left ITG showed a positive correlation trend with immunoglobulin G (r = 0.260) and CD4 counts (r = 0.283). The right ITG showed a correlation trend with Total Cholesterol (r = -0.249) and tumour necrosis factor-alpha (r = -0.295). Immunity and lipids were closely related to CBF change, with the immunity relationship potentially playing a greater role. The interactions between CBF, plasma lipids and immune index could therefore represent an MDD pathophysiological mechanism. The current findings provide evidence for targeted regulation of CBF or immune properties in MDD.

Indexed as

Gray MatterMajor Depressive DisorderBiomarkersBrainCerebrovascular CirculationDepressionHumansLipidsMagnetic Resonance ImagingSpin LabelsBiomarkersLipidsSpin LabelsCerebral blood flowImmunityLipidMajor depressive disorder

Identifiers

PMID38430800
PMCPMC10944186
OpenAlexW4392246862

What Socratic 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 Socratic graph.