ArticleJournal of molecular neuroscience : MN2019
Novel Biochemical Insights in the Cerebrospinal Fluid of Patients with Neurosyphilis Based on a Metabonomics Study.
Article in Journal of molecular neuroscience : MN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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.
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Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
- Untargeted and Targeted Cerebrospinal Fluid Neurometabolomics via Chromatography-Mass Spectrometry-Based Methods.Molecules (Basel, Switzerland) · 2026Review
- Review
- Cerebrospinal Fluid Proteome Reveals Dysregulation of Lysosomal and Axonal Proteins in Neurosyphilis.Journal of proteome research · 2026Article
- Advances in Syphilis Diagnostics to Address the 21st-Century Epidemic.Clinical chemistry · 2025Review
- Treponema pallidum inhibits CD4+ T-cell proliferation through METAP2: insights from Mendelian randomization analysis.AMB Express · 2025Article
- CSF carnitine is a potential biomarker in paediatric tuberculous meningitis.Scientific reports · 2025Article
- Fluorometric Nanoscale Analysis of Bilirubin and Biliverdin in Human Cerebrospinal Fluid.ACS chemical neuroscience · 2025Article
- Large-Scale Proteome Profiling Identifies Biomarkers Associated with Suspected Neurosyphilis Diagnosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Critical Factors in Sample Collection and Preparation for Clinical Metabolomics of Underexplored Biological Specimens.Metabolites · 2024Review
- LC-MS metabolomics and lipidomics in cerebrospinal fluid from viral and bacterial CNS infections: a review.Frontiers in neurology · 2024Review
- Resurgence of syphilis: focusing on emerging clinical strategies and preclinical models.Journal of translational medicine · 2023Review
- Identification of cerebrospinal fluid metabolites as biomarkers for neurobrucellosis by liquid chromatography-mass spectrometry approach.Bioengineered · 2022Article
- Cerebrospinal Fluid Changes and Clinical Features of Neurosyphilis Compared with Latent Syphilis Infection in the Central Nervous System: A Cross-Sectional Study.Infection and drug resistance · 2022Article
- An Updated Review of Recent Advances in Neurosyphilis.Frontiers in medicine · 2022Review
- Advances in laboratory diagnostic methods for cerebrospinal fluid testing for neurosyphilis.Frontiers in public health · 2022Review
- [Artificial intelligence empowers laboratory medicine in Industry 4.0].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Neurosyphilis is a chronic central nervous system infectious disease caused by Treponema pallidum. Our aim was to study the metabolic profiling in the cerebrospinal fluid of neurosyphilis patients and identify specific potential biomarkers. Fifteen cerebrospinal fluid samples from neurosyphilis patients and 14 non-neurosyphilis samples were analyzed by liquid chromatography-mass spectrometer (LC-MS). The LC-MS data were preprocessed by supervised pattern recognition to obtain diagnostic models. Both orthogonal projections to a latent structures discriminant analysis (OPLS-DA) and a t test were used to obtain specific metabolites for neurosyphilis. LC-MS data showed that the metabolites in cerebrospinal fluid (CSF) from neurosyphilis are different from the non-neurosyphilis group. The OPLS-DA model parameters R
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Registered trials
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.