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A 'One-Stop Shop' Decision Tree for Diagnosing and Phenotyping Polycystic Ovarian Syndrome on Serum Metabolic Fingerprints

机译:A 'One-Stop Shop' Decision Tree for Diagnosing and Phenotyping Polycystic Ovarian Syndrome on Serum Metabolic Fingerprints

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摘要

Polycystic ovary syndrome (PCOS) is a common endocrine disease regulated by metabolic disorders, the effective intervention of which depends on diverse phenotypes (e.g., insulin resistance). Serum metabolic fingerprint (SMF) holds promise in characterizing the pathogenesis stress related to diseases; yet, PCOS diagnosis and phenotyping are time-consuming and challenging due to the lack of an integrated metabolic tool. Here, a nanoparticle-enhanced laser desorption/ionization mass spectrometry platform is introduced for one-time serum metabolic fingerprinting and to identify the metabolic heterogeneity associated with obesity in PCOS patients. A decision tree based on the acquired SMFs is constructed, and real-world simulations on independent internal and external cohorts are performed. The decision tree yields the area under the receiver operating characteristic curves (AUC) of 0.967 for PCOS diagnosis and AUC of 0.898 for phenotyping, respectively. The technical robustness of the “one-stop shop” decision tree across laboratories is validated for clinical utility. The decision tree aims to improve PCOS management in comparison to clinical assessment, leading to a potential reduction in multiple blood tests and physician workload.

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  • 来源
    《Advanced functional materials》 |2022年第45期|2206670.1-2206670.12|共12页
  • 作者单位

    Department of Clinical Laboratory Medicine Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai 200030, P. R. China,Shanghai Institute of Thoracic Oncology Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai 200030, P. R. China,State;

    Center for Reproductive Medicine Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai, P. R. China,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics Shanghai, P. R. China;

    Shanghai Key Laboratory of Gynecologic Oncology Renji Hospital School of Medicine Shanghai Jiaotong University Shanghai 200127, P. R. China,Department of Obstetrics and Gynecology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 20State Key Laboratory for Oncogenes and Related Genes School of Biomedical Engineering Institute of Medical Robotics and Med-X Research Institute Shanghai Jiao Tong University Shanghai 200030, P. R. ChinaInstrumental Analysis Center Shanghai Jiao Tong University No. 800 Dongchuan Road, Shanghai 201100, P. R. ChinaBeijing Health Biotech Co. Ltd. No. 7, Science Park Road, Changping District, Beijing, P. R. ChinaShanghai First Maternity and Infant Hospital Tongji University School of Medicine Shanghai 201204, P. R. ChinaDepartment of Clinical Laboratory Medicine Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai 200030, P. R. China,Shanghai Institute of Thoracic Oncology Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai 200030, P. R. China;

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  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
  • 关键词

    diagnoses; mass spectrometry; phenotyping; polycystic ovarian syndrome; serum metabolic fingerprints;

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