scholarly journals Transcriptomic Characteristics of Suboptimal Health Status: Potential Utility of Novel Biomarkers for Predictive, Preventive, and Personalized Medicine Strategy

2021 ◽  
Author(s):  
Hao Wang ◽  
Qiuyue Tian ◽  
Jie Zhang ◽  
Hongqi Liu ◽  
Jinxia Zhang ◽  
...  
Keyword(s):  
Health Status ◽  
Personalized Medicine ◽  
Transcriptome Analysis ◽  
Healthy Controls ◽  
Potential Utility ◽  
Diagnostic Biomarkers ◽  
Suboptimal Health Status ◽  
Preventive And Personalized Medicine ◽  
And Personalized Medicine ◽  
Suboptimal Health

Abstract Background The early diagnosis of Suboptimal Health Status (SHS) creates a window opportunity for the predictive, preventive, and personalized medicine (PPPM) of 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 diagnosis and targeted prevention of SHS. Methods To explore the potential diagnostic biomarkers, biological functions, and signaling 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. Results Transcriptome analysis identified a total of 46 differentially expressed genes, in which 22 transcripts were significantly increased and 24 transcripts were decreased in the SHS group. A total of 23 transcripts was selected as candidate diagnostic 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 gene related to SHS, including GJA1, TWIST2, KRT1, TUBB3, AMHR2, BMP10, MT3, BMPER, NTM and TMEM98. A transcriptome diagnosis model can distinguish SHS individuals from the healthy controls with a sensitivity of 83.3% (95% Confidence Interval (CI): 73.9%-92.7%), a specificity of 90.0% (95% CI: 82.4%-97.6%), and an area under the receiver operating characteristic curve of 0.938 (95% CI: 0.882–0.994). Conclusion Blood transcripts are potentially objective biomarkers for the SHS diagnosis. These findings determine the potential utility of SHS-related transcriptomic biomarkers for PPPM of chronic diseases.

scholarly journals Inflammatory and metabolic profiles of patients with end-stage renal disease: potential strategy for predictive, preventive, and personalized medicine

2021 ◽  
Author(s):  
Xiaoxin Ma ◽  
Yongli Wang ◽  
Hongyu Wu ◽  
Fei Li ◽  
Xiping Feng ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
End Stage Renal Disease ◽  
Healthy Controls ◽  
Preventive And Personalized Medicine ◽  
Hydroxyphenylacetic Acid ◽  
Potential Strategy ◽  
Stage Renal Disease ◽  
End Stage ◽  
Esrd Patients ◽  
And Personalized Medicine

Abstract Objectives Few studies reported the periodontal disease-related metabolic profile of end-stage renal disease (ESRD) patients. The present study aimed to compare the inflammatory and metabolic differences between patients with ESRD and healthy controls, and to identify potential useful biomarkers for predictive, preventive, and personalized medicine (PPPM) in GCP and serum of ESRD patients.Methods Patients with ESRD (ESRD group; n = 52) and healthy controls (HC group; n = 44) were recruited. Clinical periodontal parameters were recorded. The differential metabolites in the GCF and serum were identified by liquid chromatography/mass spectrometry. Inflammatory markers including Interleukin-1β (IL-1β), Interleukin-6 (IL-6), Interleukin-8 (IL-8) and C-reactive protein (CRP) were also assessed. Results In ESRD group, IL-8 and CRP were significantly higher in GCF, whereas IL-6 and CRP were significantly higher in serum, compared with HC group (all P < 0.05). In the case of GCF, taurine levels were positively correlated with IL-8 levels in both groups (all P < 0.05). In the case of serum, L-phenylalanine and p-hydroxyphenylacetic acid levels were positively correlated with CRP levels in both groups (all P < 0.05). Significant positive correlation was observed between pseudouridine and IL-6 levels only in ESRD group. Conclusions IL-8 and CRP were potential inflammatory makers. Metabolites of taurine in GCF as well as L-phenylalanine and p-hydroxyphenylacetic acid in serum were possible biomarkers that correlated with inflammatory cytokine. All these biomarkers may consider as a potential strategy for the prediction, diagnosis, prognosis, and management of personalized periodontal therapy in the population with ESRD.

scholarly journals Psychological symptoms in Chinese nurses may be associated with predisposition to chronic disease: a cross-sectional study of suboptimal health status

2020 ◽  
Vol 11 (4) ◽  
pp. 551-563
Author(s):  
Jinxiu Zhu ◽  
Wenjuan Ying ◽  
Li Zhang ◽  
Gangyi Peng ◽  
Weiju Chen ◽  
...  
Keyword(s):  
Health Status ◽  
Psychological Symptoms ◽  
Cross Sectional Study ◽  
Depression And Anxiety ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Suboptimal Health Status ◽  
The Relationship ◽  
And Personalized Medicine ◽  
Suboptimal Health

Abstract Background Suboptimal health status (SHS) is a reversible state between ideal health and illness and it can be effectively reversed by risk prediction, disease prevention, and personalized medicine under the global background of predictive, preventive, and personalized medicine (PPPM) concepts. More and more Chinese nurses have been troubled by psychological symptoms (PS). The correlation between PS and SHS is unclear in nurses. The purpose of current study is to investigate the prevalence of SHS and PS in Chinese nurses and the relationship between SHS and PS along with predisposing factors as well as to discuss the feasibility of improving health status and preventing diseases according to PPPM concepts in Chinese nurses. Methods A cross-sectional study was conducted with the cluster sampling method among 9793 registered nurses in Foshan city, China. SHS was evaluated with the Suboptimal Health Status Questionnaire-25 (SHSQ-25). Meanwhile, the PS of depression and anxiety were evaluated with Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) self-assessment questionnaires. The relationship between PS and SHS in Chinese nurses was subsequently analyzed. Results Among the 9793 participants, 6107 nurses were included in the final analysis. The prevalence of SHS in the participants was 74.21% (4532/6107) while the symptoms of depression and anxiety were 47.62% (2908/6107) and 24.59% (1502/6107) respectively. The prevalence of SHS in the participants with depression and anxiety was significantly higher than those without the symptoms of depression (83.3% vs 16.7%, P < 0.001) and anxiety (94.2% vs 5.8%, P < 0.0001). The ratio of exercise habit was significantly lower than that of non-exercise habit (68.8% vs 78.4%, P < 0.001) in SHS group. Conclusions There is a high prevalence of SHS and PS in Chinese nurses. PS in Chinese nurses are associated with SHS. Physical exercise is a protective factor for SHS and PS so that the exercise should be strongly recommended as a valuable preventive measure well in the agreement with PPPM philosophy. Along with SDS and SAS, SHSQ-25 should also be highly recommended and applied as a novel predictive/preventive tool for the health measures from the perspectives of PPPM in view of susceptible population and individual screening, the predisposition to chronic disease preventing, personalization of intervention, and the ideal health state restoring.

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