UHPLC-MS/MS-based untargeted metabolite profiling of Lyme neuroborreliosis

被引:0
|
作者
Kuukkanen, Ilari [1 ,2 ]
Pietikainen, Annukka [2 ,3 ,4 ]
Rissanen, Tiia [5 ,6 ]
Hurme, Saija [5 ,6 ]
Kortela, Elisa [7 ]
Kanerva, Mari J. [8 ,9 ]
Oksi, Jarmo [8 ,9 ]
Hytonen, Jukka [2 ,3 ,4 ]
Karonen, Maarit [1 ,2 ]
机构
[1] Univ Turku, Dept Chem, Turku, Finland
[2] Univ Turku, TBD Turku, Turku, Finland
[3] Univ Turku, Inst Biomed, Turku, Finland
[4] Turku Univ Hosp, TYKS Labs, Clin Microbiol, Turku, Finland
[5] Univ Turku, Dept Biostat, Turku, Finland
[6] Turku Univ Hosp, Turku, Finland
[7] HUS Inflammat Ctr, Helsinki, Finland
[8] Turku Univ Hosp, Dept Infect Dis, Turku, Finland
[9] Univ Turku, Turku, Finland
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
Borrelia burgdorferi; Diagnostic biomarkers; Lyme neuroborreliosis; Metabolomics; Serum analysis; UHPLC-MS/MS; TANDEM MASS-SPECTROMETRY; BORRELIA-BURGDORFERI; L-HOMOARGININE; IDENTIFICATION; ACETAMINOPHEN; PERSISTENCE; IONIZATION; DIAGNOSIS; PLASMA; LIVER;
D O I
10.1038/s41598-025-92189-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] UHPLC-MS/MS-Based Identity Confirmation of Amino Acids Involved in Response to and Side Effects from Antiseizure Medications
    Awchi, Mo
    Sinues, Pablo
    Datta, Alexandre N.
    Garcia-Gomez, Diego
    Singh, Kapil Dev
    JOURNAL OF PROTEOME RESEARCH, 2023, 22 (03) : 990 - 995
  • [32] A UHPLC-MS/MS-based method for the simultaneous monitoring of eight antiblastic drugs in plasma and urine of exposed healthcare workers
    Izzo, Viviana
    Charlier, Bruno
    Bloise, Elena
    Pingeon, Marine
    Romano, Marianna
    Finelli, Antonietta
    Vietri, Alfonso
    Conti, Valeria
    Manzo, Valentina
    Alfieri, Maria
    Filippelli, Amelia
    Dal Piaz, Fabrizio
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2018, 154 : 245 - 251
  • [33] Untargeted Metabolomics Analysis by UHPLC-MS/MS of Soybean Plant in a Compatible Response to Phakopsora pachyrhizi Infection
    Silva, Evandro
    da Graca, Jose Perez
    Porto, Carla
    do Prado, Rodolpho Martin
    Nunes, Estela
    Marcelino-Guimaraes, Francismar Correa
    Meyer, Mauricio Conrado
    Pilau, Eduardo Jorge
    METABOLITES, 2021, 11 (03)
  • [34] A Fast and Reliable UHPLC-MS/MS-Based Method for Screening Selected Pharmacologically Significant Natural Plant Indole Alkaloids
    Tarkowska, Danuse
    MOLECULES, 2020, 25 (14):
  • [35] UHPLC/MS-Based Untargeted Metabolomics Reveals Metabolic Characteristics of Clinical Strain of Mycoplasma bovis
    Yang, Fei
    Yang, Mengmeng
    Si, Duoduo
    Sun, Jialin
    Liu, Fan
    Qi, Yanrong
    He, Shenghu
    Guo, Yanan
    MICROORGANISMS, 2023, 11 (10)
  • [36] Geographical origin of guarana seeds from untargeted UHPLC-MS and chemometrics analysis
    de Oliveira Salles, Rita Cynara
    Muniz, Magno Perea
    Saraiva Nunomura, Rita de Cassia
    Nunomura, Sergio Massayoshi
    FOOD CHEMISTRY, 2022, 371
  • [37] Simultaneous determination of afidopyropen and its metabolite in vegetables, fruit and soil using UHPLC-MS/MS
    Chen, Kaiying
    Liu, Xingang
    Wu, Xiaohu
    Dong, Fengshou
    Xu, Jun
    Zheng, Yongquan
    FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT, 2018, 35 (04): : 715 - 722
  • [38] Analysis of tizoxanide, active metabolite of nitazoxanide, in rat brain tissue and plasma by UHPLC-MS/MS
    Guo, Sixun
    Li, Fang
    Wang, Bin
    Zhao, Yilei
    Wang, Xiaoxiong
    Wei, Hua
    Yu, Kaijiang
    Hai, Xin
    BIOMEDICAL CHROMATOGRAPHY, 2020, 34 (02)
  • [39] Rapid UHPLC-MS metabolite profiling and phenotypic assays reveal genotypic impacts of nitrogen supplementation in oats
    Allwood, J. William
    Xu, Yun
    Martinez-Martin, Pilar
    Palau, Raphaelle
    Cowan, Alexander
    Goodacre, Royston
    Marshall, Athole
    Stewart, Derek
    Howarth, Catherine
    METABOLOMICS, 2019, 15 (03)
  • [40] Pharmacokinetic Study and Metabolite Identification of CAM106 in Rats by Validated UHPLC-MS/MS
    Xi, Ruqi
    Abdulla, Rahima
    Zhao, Jiangyu
    Aisa, Haji Akber
    Liu, Yongqiang
    PHARMACEUTICALS, 2023, 16 (05)