ArticleThe EPMA journal2020
Population-based case-control study revealed metabolomic biomarkers of suboptimal health status in Chinese population-potential utility for innovative approach by predictive, preventive, and personalized medicine.
Article in The EPMA journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 34 citations in OpenAlex.
- A Two-Stage Cascaded Regression Framework for Automatic Facial Acupoint Localization in Infrared Thermal Images.Sensors (Basel, Switzerland) · 2026Article
- Unhealthy diet and lifestyle factors linked to female androgenetic alopecia: a community-based study from Jidong study, China.BMC public health · 2025Article
- Assessing suboptimal health status in the Saudi population: Translation and validation of the SHSQ-25 questionnaire.Journal of global health · 2024Article
- Development and validation of a short-form suboptimal health status questionnaire.The EPMA journal · 2023Article
- Conceptualised psycho-medical footprint for health status outcomes and the potential impacts for early detection and prevention of chronic diseases in the context of 3P medicine.The EPMA journal · 2023Article
- Anti-platelet aggregation activities of different grades ofFrontiers in pharmacology · 2023Article
- Identification and validation of IgG N-glycosylation biomarkers of esophageal carcinoma.Frontiers in immunology · 2023Article
- Translation and cross-cultural validation of a precision health tool, the Suboptimal Health Status Questionnaire-25, in Korean.Journal of global health · 2022Article
- Glycomic biomarkers are instrumental for suboptimal health status management in the context of predictive, preventive, and personalized medicine.The EPMA journal · 2022Article
- All around suboptimal health - a joint position paper of the Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine.The EPMA journal · 2021Article
- Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population.Health and quality of life outcomes · 2021Article
- Blood transcriptome profiling as potential biomarkers of suboptimal health status: potential utility of novel biomarkers for predictive, preventive, and personalized medicine strategy.The EPMA journal · 2021Article
- Induced sputum metabolomic profiles and oxidative stress are associated with chronic obstructive pulmonary disease (COPD) severity: potential use for predictive, preventive, and personalized medicine.The EPMA journal · 2020Article
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Authors and funding
17 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSuboptimal health status (SHS) is a subclinical stage of chronic diseases, and the identification of SHS provides an opportunity for the predictive, preventive, and personalized medicine (PPPM) of chronic diseases. Previous studies have reported the associations between metabolic signatures and early signs of chronic diseases.
methodsThis study aimed to detect the metabolic biomarkers for the identification of SHS in a case-control study. SHS questionnaire-25 (SHSQ-25) was used in a population-based health survey to measure the SHS levels of participants. The liquid chromatography-mass spectrometry-based untargeted metabolomics analysis was conducted on plasma samples collected from 50 SHS participants and 50 age- and sex-matched healthy controls.
resultsAfter adjusting for the confounders, 24 significantly differential metabolites, such as sphingomyelin, sphingosine, sphinganine, progesterone, pregnanolone, and bilirubin, were identified as the candidate biomarkers for SHS. Pathway analysis revealed that sphingolipid metabolism, taurine metabolism, and steroid hormone biosynthesis are the disturbed metabolic pathways related to SHS. A combination of four metabolic biomarkers (sphingosine, pregnanolone, taurolithocholate sulfate, cervonyl carnitine) can distinguish SHS individuals from the controls with a sensitivity of 94.0%, a specificity of 90.0%, and an area under the receiver operating characteristic curve of 0.977.
conclusionPlasma metabolites are valuable biomarkers for SHS identification, and meanwhile, SHSQ-25 can be used as an alternative health screening tool in the population-based health survey. SHS-related metabolic disturbances could be detected at the early onset of SHS, and SHS-related metabolites could create a window opportunity for PPPM of chronic diseases.
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