Evidence map›Paper›PMID 40103803›Full record

ArticleJournal of inflammation research2025

Serum Lipid Biomarkers for the Diagnosis and Monitoring of Neuromyelitis Optica Spectrum Disorder: Towards Improved Clinical Management.

Ruibing Li, Jinyang Wang, Jianan Wang, Wei Xie, Pengfei Song, Jie Zhang, Yun Xu, Decai Tian, Lei Wu, Chengbin Wang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Ruibing Li *Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Jinyang Wang *Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Jianan Wang *Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Wei XieDepartment of Neurology, the First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Pengfei SongSchool of Advanced Technology, Xi'an Jiaotong - Liverpool University, Suzhou, 215000, People's Republic of China.
Jie ZhangSchool of Advanced Technology, Xi'an Jiaotong - Liverpool University, Suzhou, 215000, People's Republic of China.
Yun XuCenter for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
Decai TianCenter for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
Lei Wu *Department of Neurology, the First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Chengbin Wang *Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neuromyelitis optica spectrum disorder (NMOSD) is a group of immune-mediated disorders that often lead to severe disability. The diagnosis and monitoring of NMOSD can be challenging, particularly in seronegative cases, highlighting the need for reliable biomarkers to enhance clinical management. This study aimed to identify serum lipid biomarkers for the diagnosis and monitoring of NMOSD and to assess their potential to improve clinical decision-making. Methods: We conducted a comprehensive serum proteomic analysis in a discovery cohort of NMOSD patients and controls to identify lipid-related proteins associated with NMOSD. Subsequently, we validated the candidate biomarkers in the retrospective cohort and developed diagnostic models using a random forest algorithm. The association between these lipid biomarkers and disease activity was further evaluated in longitudinal analysis. Results: Our analysis identified a panel of serum lipid-related biomarkers that demonstrated significant differences between NMOSD patients and controls. The diagnostic models achieved the impressive accuracy of 72% for the full NMOSD spectrum, 72% for AQP4-IgG+ NMOSD, and 68% for double seronegative NMOSD. Importantly, these biomarkers showed a correlation with disease activity, with levels changing from relapse to remission. Additionally, a combination of these lipid biomarkers was found to predict relapse with the AUC of 0.861. A user-friendly smartphone application was developed to facilitate the straightforward "input-index, output-answer" screening process, enhancing both clinical decision-making and patient care. Conclusion: The diagnostic model based on the serum lipid-related indexes (TC, TG, LDL, HDL, ApoA1, and ApoB) may be the useful tool for NMOSD in diagnosis and monitoring of disease stage, thereby improving the treatment outcome for patients. Future studies should focus on integrating these biomarkers into routine clinical practice to realize their full potential in enhancing NMOSD management.

Indexed as

diagnosis biomarkerdisease monitoringNeuromyelitis optica spectrum disorderserum lipid-related indexesserum proteomic profiles

Identifiers

PMID40103803
PMCPMC11913982

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.