A “One‐Stop Shop” Decision Tree for Diagnosing and Phenotyping Polycystic Ovarian Syndrome on Serum Metabolic Fingerprints
Source abstract
Abstract
Abstract 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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Ovarian function and disorders · Metabolomics and Mass Spectrometry Studies · Hormonal and reproductive studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
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 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. 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 200127 P. R. China
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
Instrumental Analysis Center Shanghai Jiao Tong University No. 800 Dongchuan Road Shanghai 201100 P. R. China
Beijing Health Biotech Co. Ltd. No. 7, Science Park Road, Changping District Beijing P. R. China
Shanghai First Maternity and Infant Hospital Tongji University School of Medicine Shanghai 201204 P. R. China
Funding
National Natural Science Foundation of China
References (87)
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