Detection of N­glycoprotein associated with IgA nephropathy in urine as a potential diagnostic biomarker using glycosylated proteomic analysis.

The aim of the present study was to elucidate the potential diagnostic value of urinary N-glycoprotein in patients with IgA nephropathy (IgAN) using mass spectrometry (MS). All procedures were performed between June 2021 and June 2023 at Guangan People's Hospital (Guangan, China). Fresh mid-morning fasting midstream urine samples were collected from a total of 30 patients with IgAN and 30 sex- and age-matched healthy volunteers. Data acquired from 6 participants are available through ProteomeXchange with the identifier PXD041151. By comparison between the IgAN group (n=3) and healthy controls (n=3) and selection criteria of P<0.05 and |log fold-change|>2, a total of 11 upregulated and 22 downregulated glycoproteins in patients with IgAN were identified. The results of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggested that glycoproteins are involved in various functions, such as the regulation of cell growth, cell adhesion, cellular component organization and protein binding, as well as multiple pathways, including p53, Notch and mTOR signaling pathways. The urine levels of afamin were further measured by ELISA in a validation cohort to assess the diagnostic performance of the single indicator model. In conclusion, MS-based proteomics of urinary glycoproteins may be an alternative option for diagnosing patients with IgAN. Biomarkers of IgAN may include, but are not limited to, CCL25, PD-L1, HLA-DRB1, IL7RD and WDR82. In addition, the levels of urinary AFM indicators are of diagnostic value for IgAN.

[Association between the risk of sub-health and health promotion lifestyle: a nested case-control study].

OBJECTIVE: To explore the relationship between the occurrence of sub-health and health promotion lifestyle in Guangdong province to provide epidemiological evidences for prevention of sub-health. METHODS: A 1:1 nested case-control study was carried out involving 133 cases from the cohort study paired with 133 control case matched for gender and age. RESULTS: The univariate conditional logistic regression model showed no significant association of marital status, education level, or body mass index with the occurrence of sub-health, but a significant correlation was found between lifestyle and sub-health with an odd ratio of 5.90 (95% CI: 3.12-11.16, P=0.000). Analysis of the multivariate conditional logistic regression model on the 6 subscales of health promotion lifestyle showed that stress management was significantly correlated with the occurrence of sub-health with an odd ratio of 4.00 (95% CI: 1.54-10.40, P=0.004). CONCLUSION: A unhealthy lifestyle, especially in terms of stress management, is the major risk factor contributing to the occurrence of sub-health.

Self-rated health status and subjective health complaints associated with health-promoting lifestyles among urban Chinese women: a cross-sectional study.

OBJECTIVE: This study aimed to investigate whether self-rated health status (SRH) and subjective health complaints (SHC) of urban Chinese women are associated with their health-promoting lifestyles (HPL). METHODS: We conducted a cross-sectional study on 8142 eligible Chinese participants between 2012 and 2013. Demographic and SHC data were collected. Each subject completed the SRH questionnaire and the Chinese version of the Health-Promoting Lifestyle Profile-II (HPLP-II). Correlation and binary regression analyses were performed to examine the associations of SRH and SHC with HPL. RESULTS: Both SRH and HPL of urban Chinese women were moderate. The most common complaints were fatigue (1972, 24.2%), eye discomfort (1571, 19.3%), and insomnia (1542, 18.9%). Teachers, highly educated subjects and elderly women had lower SRH scores, while college students and married women had better HPL. All items of HPLP-II were positively correlated with SRH (r = 0.127-0.533, P = 0.000) and negatively correlated with SHC to a significant extent (odds ratio [OR] = 1.40-11.37). CONCLUSIONS: Aspects of HPL, particularly stress management and spiritual growth, are associated with higher SRH and lower SHC ratings among urban Chinese women. Physical activity and health responsibility are additionally related to reduced fatigue and nervousness. We believe that these findings will be instrumental in encouraging researchers and urban women to adopt better health-promoting lifestyles with different priorities in their daily lives.

Associations between breakfast eating habits and health-promoting lifestyle, suboptimal health status in Southern China: a population based, cross sectional study.

BACKGROUND: Suboptimal health status (SHS) is the intermediate health state between health and disease, refers to medically undiagnosed or functional somatic syndromes, and has been a major global public health challenge. However, both the etiology and mechanisms associated with SHS are still unclear. Breakfast eating behavior is a dietary pattern marker and previous studies have presented evidence of associations between failure to consume breakfast and increased diseases. Accordingly, in view of the significance of breakfast eating behaviors with respect to health status, the associations between breakfast eating habits and healthy lifestyle, SHS require further elucidation. METHODS: A cross-sectional survey was conducted within a clustered sample of 24,159 individuals aged 12-80 years in 2012-13 within the population of Southern China. Breakfast eating habits were categorically defined by consumption frequency ('scarcely, sometimes or always'). Health-promoting lifestyle was assessed via the health-promoting lifestyle profile (HPLP-II). SHS was evaluated using the medical examination report and Sub-health Measurement Scale V1.0 (SHMS V1.0). RESULTS: Of the 24,159 participants, the prevalence rates for the 'health' , 'SHS' , and 'disease' were 18.8%, 46.0%, and 35.2%, respectively. Overall, 19.6% of participants reported 'scarce' breakfast eating habits, with frequent breakfast eaters scoring higher on both HPLP-II and SHMS V1.0. After demographic adjustment, regression analyses revealed a significant association between breakfast eating habits and healthy lifestyle (p <0.001). There were lower levels of breakfast consumption regularity amongst individuals with SHS than those with disease. Categorically 'scarce' breakfast eaters were approximately three times more likely to be assigned SHS (OR: 2.745, 95% CI: 2.468-3.053), while infrequent breakfast eaters ('sometimes') were just less than twice as likely to be assessed as being of SHS (OR: 1.731, 95% CI: 1.595-1.879). CONCLUSIONS: Breakfast eating habits are significantly associated with a healthy lifestyle, and appear to be a useful predictor of a healthy lifestyle. Irregular breakfast eating habits are related to an increased risk of SHS; increased breakfast eating frequency may contribute to lowering the prevalence of SHS in Southern China.

Association of lifestyle factors and suboptimal health status: a cross-sectional study of Chinese students.

OBJECTIVES: Suboptimal health status (SHS) is considered to be an intermediate status between disease and health, and is characterised by a decline in vitality, in physiological function and in the capacity for adaptation. Although the incidence of SHS is high, the underlying causes remain unclear. Lifestyle is one of the most important factors affecting health status; however, the relationship between SHS and lifestyle has not been elucidated. DESIGN: Cross-sectional survey. SETTING: A questionnaire, based on 'Health Promoting Lifestyle Profile-II (HPLP-II)' and 'Sub-Health Measurement Scale V1.0 (SHMS V1.0)', was sent to four colleges in four districts (Guangzhou, Foshan, Zhanjiang and Shaoguan) of China between May and July 2013. PARTICIPANTS: A total of 12 429 questionnaires were distributed during the study period, and 11 144 completed responses were received. RESULTS: The prevalence rates for the 'healthy', 'SHS' and 'disease' groups of respondents (students) were 22.81% (2542), 55.9% (6234) and 21.25% (2368), respectively. Most of the students reported a 'moderate' or 'good' lifestyle. There were significant differences in lifestyle and health status between the two genders. It was notable that health status was significantly positively correlated with lifestyle (r=0.563). For every dimension of the HPLP-II model, the mean values were lower for those participants who reported as 'SHS' or 'disease' than for those who reported that they were 'healthy'. The individual dimensions of the HPLP-II model, including 'spiritual growth', 'health responsibility', 'physical activity', 'interpersonal relations' and 'stress management' were all related to SHS. CONCLUSIONS: Health status is significantly positively correlated with lifestyle. Poor lifestyle is a risk factor for SHS. Conversely, adopting a healthier lifestyle can improve SHS. TRIAL REGISTRATION NUMBER: ChiCTR-OCH-12002317.

[Relationship between health-promoting lifestyle and sub-health status in the employees of an enterprise].

OBJECTIVE: To study the relationship between sub-health status and the health-promoting lifestyle of employees. METHODS: A total of 5316 employees in a company in Guangdong were surveyed using sub-health measurement scale version 1.0 (SHMS V1.0) and the health-promoting lifestyle profile (HPLP-II). The former scale included 3 subscales of somatic sub-health, psychological sub-health and social sub-health, and the latter included 6 subscales of self-actualization, healthy responsibility, physical exercise, nutrition, interpersonal sensitivity and stress treatment. RESULTS: The total healthy rate was 12.86% among the employees, with 76.76% and 10.5% in sub-health and disease states. The mean scores of HPLP-II was 115.95∓21.468 in the total population surveyed, 134.23∓24.72 in healthy employees and 114.69∓19.25 in the patients. There was a significant difference in the grades of health-promoting lifestyle between sub-healthy and healthy employees (P<0.05) as well as in the scores of HPLP-II and the scores of the 6 subscales (P<0.05). An appreciable correlation was found between sub-health status and the 6 subscales, and self-realization, physical exercise and stress management showed significant inverse correlation with sub-health status. CONCLUSION: Sub-health status is related to health-promoting lifestyle, and self-realization, physical exercise and management are the protective factors that influence sub-health status.