Identification of Biomarkers of Sepsis-Associated Acute Kidney Injury in Pediatric Patients Based on UPLC-QTOF/MS

被引:0
|
作者
Sa Wang
Changxue Xiao
Chengjun Liu
Jing Li
Fang Fang
Xue Lu
Chao Zhang
Feng Xu
机构
[1] Children’s Hospital of Chongqing Medical University,Department of Pediatric Intensive Care Unit
[2] National Clinical Research Center for Child Health and Disorders (Chongqing),Ministry of Education Key Laboratory of Child Development and Disorders
[3] Chongqing Key Laboratory of Pediatrics,China International Science and Technology Cooperation base of Child Development and Critical Disorders
来源
Inflammation | 2020年 / 43卷
关键词
metabolomics; sepsis; acute kidney injury; urine; biomarkers; pediatric;
D O I
暂无
中图分类号
学科分类号
摘要
Sepsis or septic shock is often accompanied by organ dysfunction, among which acute kidney injury (AKI) is the most frequent event that appears early during sepsis. To harness urinary metabolic profiling to discover potential biomarkers of septic acute kidney injury in pediatric patients at intensive care units, we collected urine samples from 27 septic children with AKI and 30 septic children without AKI. We used ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) for profiling and multiple regression analysis to explore the potential biomarkers of sepsis with AKI. We identified a clear distinction in the UPLC-QTOF/MS results for septic children with and without AKI after the development of sepsis, specifically 18 and 17 metabolites with different levels at 12 and 24 h, respectively. Metabolic pathways associated with septic AKI included lipid metabolism, particularly processes involving glycerophospholipid metabolism. L-Histidine, DL-indole-3-lactic acid, trimethylamine N-oxide, and caprylic acid were uncovered as potential biomarkers of septic AKI at 12 h, while gentisaldehyde, 3-ureidopropionate, N4-acetylcytidine, and 3-methoxy-4-hydroxyphenylglycol sulfate were identified as potential candidates at 24 h. We further found that combinations of metabolites were more effective diagnostic marker compared with individual metabolites, with an area under the receiver operating characteristics curve of 0.905 and 0.97 at 12 and 24 h, respectively. Our results indicated that metabolomic analysis could be a promising approach for identifying diagnostic biomarkers of pediatric septic AKI and helped elucidate the pathological mechanisms involved.
引用
收藏
页码:629 / 640
页数:11
相关论文
共 50 条
  • [1] Identification of Biomarkers of Sepsis-Associated Acute Kidney Injury in Pediatric Patients Based on UPLC-QTOF/MS
    Wang, Sa
    Xiao, Changxue
    Liu, Chengjun
    Li, Jing
    Fang, Fang
    Lu, Xue
    Zhang, Chao
    Xu, Feng
    INFLAMMATION, 2020, 43 (02) : 629 - 640
  • [2] UPLC-QTOF/MS based metabolomics reveals metabolic alterations associated with severe sepsis
    Liang, Qun
    Liu, Han
    Xing, Haitao
    Jiang, Yan
    Zhang, Ai-Hua
    RSC ADVANCES, 2016, 6 (49) : 43293 - 43298
  • [3] Utility of Biomarkers for Sepsis-Associated Acute Kidney Injury Staging
    Molinari, Luca
    Del Rio-Pertuz, Gaspar
    Smith, Ali
    Landsittel, Douglas P.
    Singbartl, Kai
    Palevsky, Paul M.
    Chawla, Lakhmir S.
    Huang, David T.
    Yealy, Donald M.
    Angus, Derek C.
    Kellum, John A.
    JAMA NETWORK OPEN, 2022, 5 (05)
  • [4] Sepsis-Associated Acute Kidney Injury
    Dong Wang
    Tongwen Sun
    Zhangsuo Liu
    Intensive Care Research, 2023, 3 (4): : 251 - 258
  • [5] Sepsis-Associated Acute Kidney Injury
    Alobaidi, Rashid
    Basu, Rajit K.
    Goldstein, Stuart L.
    Bagshaw, Sean M.
    SEMINARS IN NEPHROLOGY, 2015, 35 (01) : 2 - 11
  • [6] Sepsis-Associated Acute Kidney Injury
    Manrique-Caballero, Carlos L.
    Del Rio-Pertuz, Gaspar
    Gomez, Hernando
    CRITICAL CARE CLINICS, 2021, 37 (02) : 279 - 301
  • [7] Candidate Biomarkers for Sepsis-Associated Acute Kidney Injury Mechanistic Studies
    Odum, James D.
    Standage, Steve
    Alder, Matthew
    Zingarelli, Basilia
    Devarajan, Prasad
    Wong, Hector R.
    SHOCK, 2022, 57 (05): : 687 - 693
  • [8] Identification and quantification of flavonoids in edible dock based on UPLC-qTOF MS/MS and molecular networking
    Jiang, Tao
    Li, Xingyao
    Wang, Hanyang
    Pi, Mengting
    Hu, Jianguo
    Zhu, Zhiqiang
    Zeng, Jianguo
    Li, Bin
    Xu, Zhiyong
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2024, 133
  • [9] Dexmedetomidine in sepsis-associated acute kidney injury
    Leng, Xueqian
    Qiu, Yong
    ASIAN JOURNAL OF SURGERY, 2024, 47 (12) : 5420 - 5421
  • [10] Urinary metabonomic study of patients with acute coronary syndrome using UPLC-QTOF/MS
    Wang, Yingfeng
    Sun, Wenting
    Zheng, Jilin
    Xu, Can
    Wang, Xia
    Li, Tianyi
    Tang, Yida
    Li, Zhongfeng
    JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2018, 1100 : 122 - 130