Evidence map›Paper›PMID 39364412›Full record

ArticleFrontiers in immunology2024

CCL4 as a potential serum factor in differential diagnosis of central nervous system inflammatory diseases and gliomas.

Tian-Jie Lyu, Jia Wang, Fengmao Zhao, Ke Sun, Zheng Zhao, Runfa Tian, Zhendong Guo, Haoran Wang, Xin Zhao, Wenping Ma and 2 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 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.

  1. Trial
  2. Oncoimmunology · 2026
    Article
  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

12 authors.

Tian-Jie Lyu *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jia Wang *Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Fengmao Zhao *Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Ke Sun *Functional Neurosurgery Department, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Zheng ZhaoBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Runfa TianDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhendong GuoDepartment of Pulmonary and Critical Care Medicine, Cangzhou People's Hospital, Cangzhou, China.
Haoran WangDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Xin Zhao *Innovation Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Wenping Ma *Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Mingshan Zhang *Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Wangshu Xu *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography (CT) scans and magnetic resonance imaging (MRI) are commonly utilized to detect brain gliomas and central nervous system inflammation diseases. However, there are instances where depending solely on medical imaging for a precise diagnosis may result in unsuitable medications or treatments. Pathological analysis is regarded as the definitive method for diagnosing brain gliomas or central nervous system inflammation diseases. To achieve this, a craniotomy or stereotaxic biopsy is necessary to collect brain tissue, which can lead to complications such as cerebral hemorrhage, neurological deficits, cerebrospinal fluid leaks, and cerebral edema. Consequently, the advancement of non-invasive or minimally invasive diagnostic techniques is currently a high priority. This study included samples from four glioma patients and five patients with central nervous system inflammatory diseases, comprising both serum and paired cerebrospinal fluid (CSF). A total of 40 human cytokines were identified in these samples. We utilized a receiver operating characteristic (ROC) analysis to assess the sensitivity and specificity for distinguishing central nervous system inflammation diseases and gliomas. Additionally, we examined the correlation of these factors between serum and CSF in the patients. Ultimately, the identified factors were validated using serum from patients with clinically confirmed gliomas and central nervous system inflammation diseases followed by detection and statistical analysis through ELISA. The levels of serum factors IL-4, IFN-α, IFN-γ, IL-6, TNF-α, CCL4, CCL11, and VEGF were found to be significantly higher in gliomas compared with inflammatory diseases of the central nervous system (p < 0.05). Furthermore, a strong correlation was observed between the levels of CCL4 in serum and CSF, with a correlation coefficient of r = 0.92 (95% CI = 0.20-0.99, p = 0.027). We gathered more clinical samples to provide further validation of the abundance of CCL4 expression. A clinical study analyzing serum samples from 19 glioma patients and 22 patients with central nervous system inflammation diseases revealed that CCL4 levels were notably elevated in the inflammatory group compared with the glioma group (p < 0.001). These results suggest that assessing serum CCL4 levels may be useful in distinguishing those patients for clinical diagnostic purposes.

Indexed as

Brain NeoplasmsChemokine CCL4GliomaAdultAgedBiomarkersCytokinesDiagnosis, DifferentialFemaleHumansMaleMiddle AgedNeuroinflammatory DiseasesROC CurveBiomarkersCCL4 protein, humanChemokine CCL4Cytokinescentral nervous system inflammatory diseasesclinical diagnosisgliomasnon-invasive testingnon-invasive testing of biological structurespotential biomarker

Identifiers

PMID39364412
PMCPMC11446780

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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.