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1.
Sleep Med ; 75: 502-509, 2020 11.
Article in English | MEDLINE | ID: mdl-33022488

ABSTRACT

BACKGROUNDS: Night-shift workers are exposed to nocturnal light and are more prone to circadian rhythm disorders. Although night-shift work is thought to be associated with the decrease in melatonin secretion, studies have shown inconsistent results. METHODS: This systematic review and meta-analysis studied the association between night-shift work and melatonin levels. Pubmed and Embase databases were used for literature searching. The pooled standardized mean differences (SMDs) and 95% confidence intervals (CIs) were used to compare the differences between night-shift workers and the controls. RESULTS: Thirty-three studies reported in 25 articles (1845 night-shift workers and 3414 controls, mean age 45.12 years) were included after a systematic literature review. Data of circulating melatonin levels and its metabolites, 6-sulfatoxymelatonin (aMT6s) in urine were collected for meta-analysis. The results showed that the first morning-void aMT6s level in night-shift workers was significantly lower than in day workers (SMD = -0.101, 95% CI = -0.179 to -0.022, P = 0.012). The level of mean 24-h urinary aMT6s was lower in night-shift workers than day workers (SMD: -0.264, 95% CI: -0.473 to -0.056, P = 0.013). Among fixed night-shift workers, the level of circulating melatonin, as well as first morning-void aMT6s was lower than that of day workers. CONCLUSION: Our findings indicate that experience of night-shift work is associated with suppression of melatonin production, especially among fixed night-shift workers.


Subject(s)
Chronobiology Disorders , Melatonin , Shift Work Schedule , Circadian Rhythm , Humans , Middle Aged , Work Schedule Tolerance
2.
OMICS ; 24(9): 551-558, 2020 09.
Article in English | MEDLINE | ID: mdl-32833579

ABSTRACT

Mammary gland hyperplasia (MGH) is very common, especially among young and middle-aged women. New diagnostics and biomarkers for MGH are needed for rational clinical management and precision medicine. We report, in this study, new findings using a glycomics approach, with a focus on immunoglobulin G (IgG) N-glycosylation. A cross-sectional study was conducted in a community-based population sample in Beijing, China. A total of 387 participants 40-65 years of age were enrolled in this study, including 194 women with MGH (cases) and 193 women who had no MGH (controls). IgG N-glycans were characterized in the serum by ultra-performance liquid chromatography. The levels of the glycan peaks (GPs) GP2, GP5, GP6, and GP7 were lower in the MGH group compared with the control group, whereas GP14 was significantly higher in the MGH group (p < 0.05). A predictive model using GP5, GP21, and age was established and a receiver operating characteristic curve analysis was performed. The sensitivity and specificity of the model for MGH was 61.3% and 63.2%, respectively, likely owing to receptor mechanisms and/or inflammation regulation. To the best of our knowledge, this is the first study reporting on an association between IgG N-glycosylation and MGH. We suggest person-to-person variations in IgG N-glycans and their combination with multiomics biomarker strategies offer a promising avenue to identify novel diagnostics and individuals at increased risk of MGH.


Subject(s)
Glycomics , Glycoproteins/metabolism , Mammary Glands, Human/metabolism , Mammary Glands, Human/pathology , Polysaccharides/metabolism , Adult , Aged , Biomarkers , China , Chromatography, High Pressure Liquid , Cross-Sectional Studies , Female , Glycomics/methods , Glycosylation , Humans , Hyperplasia , Immunoglobulin G/blood , Middle Aged , ROC Curve
3.
Front Oncol ; 9: 548, 2019.
Article in English | MEDLINE | ID: mdl-31316913

ABSTRACT

Background: Esophageal cancer (EC) causes more than 400 thousand deaths per year, and half of them occur in China. There are discrepancies regarding the survival of EC patients between population-based surveillance studies and hospital-based studies. Objectives: We aimed to synthesize the survival data from hospital-based EC studies in the Chinese population from 2000 to 2018 and to compare the survival rates between EC patients with different clinical classifications. Methods: The protocol of this systematic review was registered in PROSPERO (CRD-42019121559). We searched Embase, PubMed, CNKI, and Wanfang databases for studies published between January 1, 2000 and December 31, 2018. We calculated the pooled survival rates and 95% confidence intervals (CIs) by Stata software (V14.0). Results: Our literature search identified 933 studies, of which 331 studies with 79,777 EC patients met the inclusion criteria and were included in meta-analyses. The pooled survival rates were 74.1% (95% CI: 72.6-75.7%) for 1-year survival, 49.0% (95% CI: 44.2-53.8%) for 2-years survival, 46.0% (95% CI: 42.6-49.5%) for 3-years survival, and 40.1% (95% CI: 33.7-46.4%) for 5-years survival. An increased tendency toward EC survival was verified from 2000 to 2018. In addition, discrepancies were observed between EC patients with different clinical classifications (e.g., stages, histologic types, and cancer sites). Conclusions: Our findings showed a higher survival rate in hospital-based studies than population-based surveillance studies. Although this hospital-based study is subject to potential representability and publication bias, it offers insight into the prognosis of patients with EC in China.

4.
EPMA J ; 10(2): 101-108, 2019 Jun.
Article in English | MEDLINE | ID: mdl-31258815

ABSTRACT

BACKGROUND: Selective reporting of results in published case-control studies has been widely suspected, but little comprehensive information on selective reporting is available with regard to case-control studies. We aimed to evaluate the concordance of findings between publications and the protocols of case-control studies and to assess the level of selective reporting of results in case-control studies. METHODS: The databases of Embase, Medline, Scopus, and Web of Science were searched to identify case-control study protocols published between January 1, 1990 and December 31, 2017. The numbers and characteristics of predefined exposures (or factors) were extracted from the protocols. The reported and unreported factors were both collected from the published studies and protocols. The frequency of selective reporting of results were estimated by identifying the discrepancies of factors between the protocols and the published studies. Study sample size and the extent of selective reporting of factors were measured by a Spearman correlation analysis. RESULTS: Fourteen protocols with 24 published studies and 159 factors were identified, of which eight protocols (57.1%) had discrepancies between the publications and protocols. The prevalence of incomplete reporting in published case-control studies was 42.9% (6/14), with participant characteristics, anthropometric and laboratory measurement variables more likely to be unreported. A total of 16,835 cases and 56,049 controls were recruited in the 14 protocols of case-control studies (sample size ranges from 428 to 52,596 per study). Sample size had no statistical significance with selective reporting of results (P > 0.05). CONCLUSION: The study protocols should be publicly available prior to the completion of case-control studies so that the potential bias can be assessed by the readers. Our findings highlight the need for investigators, peer reviewers, and readers to exercise increased awareness and scrutiny due to the undesirable practice of selective reporting of results in medical sciences causing the loss of potentially important information, thus impacting quality of personalized attitude in healthcare in the context of the predictive, preventive, and personalized medicine.

5.
EPMA J ; 9(4): 367-377, 2018 Dec.
Article in English | MEDLINE | ID: mdl-30538788

ABSTRACT

BACKGROUND: Suboptimal health status (SHS) is an intermediate health status between health and illness, a syndrome characterised by the perception of health complaints, general weakness and low energy. This study aimed to investigate the prevalence of SHS and the correlation between SHS and psychological symptoms among Chinese college students and to identify the SHS-related risk factors from the perspective of predictive, preventive and personalised medicine (PPPM). METHODS: A cross-sectional study was conducted among 4119 college students who were enrolled from Taishan Medical University and Baoji Vocational and Technical College in the eastern and western areas of China. SHS levels of the participants were measured by an established self-reporting Suboptimal Health Status Questionnaire-25 (SHSQ-25). Psychosomatic conditions were estimated by the self-rating Symptom Checklist-90 (SCL-90) scale. Spearman correlation analysis was applied to analyse the relationship between SHSQ-25 scores and SCL-90 estimates. Logistic regression analysis was applied for multivariate analysis. RESULTS: The prevalence of SHS was 21.0% (864/4119), with 23.3% (701/3005) for female students and 14.6% (163/1114) for male students. The prevalence of general positive psychological symptom was 14.2% (586/4119), with 15.6% (470/3005) for female students and 10.4% (116/1114) for male students. A strong correlation was identified between SHS score and SCL-90 estimates, with the correlation coefficient (r) of 0.719. Logistic regression showed that variables significantly associated with SHS were somatisation (adjusted odds ratio (aOR) = 3.185, 95% confidence interval [CI] = 2.048-4.953), obsessive-compulsive (aOR = 3.518, 95% CI = 2.834-4.368), interpersonal sensitivity (aOR = 1.883, 95% CI = 1.439-2.463) and depression (aOR = 1.847, 95% CI = 1.335-2.554). CONCLUSIONS: Our findings confirm that there is a high prevalence of SHS among college students and there is a strong association between SHS and psychological symptoms among Chinese college students. High susceptibility of SHS occurs particularly in vulnerable groups: female students, sophomore students, medical students and students from rural area. Identification of SHS and prompt application of personalised psychological health-supporting activities will promote college students' health status.

6.
Acta Diabetol ; 55(11): 1113-1120, 2018 Nov.
Article in English | MEDLINE | ID: mdl-29992461

ABSTRACT

AIMS: Gestational diabetes mellitus (GDM) is a medical complication of any degree of glucose intolerance with onset or first recognition during pregnancy. Although visfatin is commonly considered to be related to GDM, studies revealed inconsistent results. This study aimed to clarify the relationship between visfatin and GDM. METHODS: The protocol for this study was registered in PROSPERO (No. CRD42018086204) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). PubMed and Embase databases were used to search for relevant studies published up to September 30, 2017. The difference of visfatin levels between women with GDM and the controls was measured by standardised mean difference (SMD) and 95% confidence interval (CI). RESULTS: Twenty-six studies that were published in 24 articles met the inclusion criteria, in which 2305 participants (1033 with GDM, mean age 31.39 years and 1272 controls, and mean age 29.99 years) were included. The quantitative meta-analysis revealed no significant difference in circulating visfatin levels between women with GDM and the controls (SMD = 0.249, 95% CI = - 0.079 to 0.576, P = 0.137). Subgroup analyses were performed referring to body mass index (BMI) where inconsistent results have been observed between cases and controls groups. For the ten studies, in which the level of BMI in women with GDM was higher than that in the control group, the pooled result showed that circulating visfatin was significantly higher among women with GDM than the controls (SMD = 0.367, 95% CI = 0.06 to 0.728, P = 0.046). Of other 16 studies BMI-matched, the pooled SMD illustrated no difference of visfatin. CONCLUSIONS: Our study elucidates that visfatin is not independently associated with GDM. Visfatin is linked to GDM through maternal overweight/obesity, which is one of the major factors leading to the development of GDM.


Subject(s)
Cytokines/blood , Diabetes, Gestational/blood , Nicotinamide Phosphoribosyltransferase/blood , Adult , Body Mass Index , Case-Control Studies , Diabetes, Gestational/epidemiology , Female , Humans , Obesity/blood , Obesity/complications , Obesity/epidemiology , Pregnancy
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