ArticleThe EPMA journal2021
Blood transcriptome profiling as potential biomarkers of suboptimal health status: potential utility of novel biomarkers for predictive, preventive, and personalized medicine strategy.
Article in The EPMA journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Whole-Blood Expression of Candidate Genes Linked with Pheochromocytoma in Post-Surgery Patients: A Pilot Study.Biomedicines · 2026Article
- TransGeneSelector: using a transformer approach to mine key genes from small transcriptomic datasets in plant responses to various environments.BMC genomics · 2025Article
- Article
- Validity and reliability of the Persian version of the Suboptimal Health Status Questionnaire among university staff in Iran.Journal of global health · 2023Article
- Profiling the Antidiabetic Potential of Compounds Identified from Fractionated Extracts ofMolecules (Basel, Switzerland) · 2023Article
- Chinese Medicine Phenomics (Chinmedphenomics): Personalized, Precise and Promising.Phenomics (Cham, Switzerland) · 2022Review
- 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
- Integrative genomic analysis of PPP3R1 in Alzheimer's disease: a potential biomarker for predictive, preventive, and personalized medical approach.The EPMA journal · 2021Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The early identification of Suboptimal Health Status (SHS) creates a window opportunity for the predictive, preventive, and personalized medicine (PPPM) in chronic diseases. Previous studies have observed the alterations in several mRNA levels in SHS individuals. As a promising "omics" technology offering comprehension of genome structure and function at RNA level, transcriptome profiling can provide innovative molecular biomarkers for the predictive identification and targeted prevention of SHS. To explore the potential biomarkers, biological functions, and signalling pathways involved in SHS, an RNA sequencing (RNA-Seq)-based transcriptome analysis was firstly conducted on buffy coat samples collected from 30 participants with SHS and 30 age- and sex-matched healthy controls. Transcriptome analysis identified a total of 46 differentially expressed genes (DEGs), in which 22 transcripts were significantly increased and 24 transcripts were decreased in the SHS group. A total of 23 transcripts were selected as candidate predictive biomarkers for SHS. Gene Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that several biological processes were related to SHS, such as ATP-binding cassette (ABC) transporter and neurodegeneration. Protein-protein interaction (PPI) network analysis identified 10 hub genes related to SHS, including SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13167-021-00238-1.
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