ArticleScientific reports2025
UHPLC-MS/MS-based untargeted metabolite profiling of Lyme neuroborreliosis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Application of Mass Spectrometry-Based Metabolomics and Machine Learning in the Diagnostics of Lyme Neuroborreliosis.ACS omega · 2026Article
- Identification and Antimicrobial Potential of Marine Sponges (International journal of microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The diagnosis of Lyme neuroborreliosis (LNB) requires the demonstration of intrathecal synthesis of Borrelia antibodies in a patient's cerebrospinal fluid (CSF), which involves the invasive procedure of a lumbar puncture. This study serves as a feasibility study aimed at exploring the potential of using serum samples, which are easily obtainable routine clinical samples, for LNB diagnostics via advanced metabolomics techniques. Serum samples were collected from confirmed LNB patients before and after treatment, with post-treatment samples serving as controls. The objective of the study was to find stable biomarkers for acute LNB through untargeted metabolomics analysis using ultrahigh-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). The study focused on biomarkers that could be reliably detected in serum samples stored under typical clinical conditions, without the need for special handling, ensuring consistent detection over time. The analysis revealed 26,978 molecular features (MFs), of which 1,746 were statistically significant (p < 0.001). Further manual investigation into 91 of the most prominent MFs revealed 53 potential biomarkers for LNB, individually or in combination. The workflow developed provides a comprehensive platform for biomarker detection, with potential applications in both research and clinical settings for LNB and other infections. This minimally invasive diagnostic approach is promising, and additional validation and future studies are needed for it to be considered as a practical alternative or a complement to CSF-based diagnostics of LNB in everyday clinical practice.
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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 Socratic graph.