Fat-to-muscle ratio as a predictor for dyslipidaemia in transitional-age youth.

BACKGROUND: Although dyslipidaemia may have a crucial impact on cardiovascular health in adults, there is a lack of specific data in transitional-age youth. Therefore, this study attempted to evaluate the association of dyslipidaemia with fat-to-muscle ratio (FMR), and establish FMR thresholds for diagnosing dyslipidaemia in transitional-age youth. METHODS: One thousand six hundred sixty individuals aged 16 to 24 years from the baseline of a subcohort in the Northwest China Natural Population Cohort: Ningxia Project were analysed. Anthropometric characteristics were gauged by a bioelectrical impedance analyser, and dyslipidaemia components were measured using a Beckman AU480 chemistry analyser. Additionally, this study used logistic regression to estimate the risk of dyslipidaemia based on FMR quintiles, and calculate the gender-specific ideal cut-off values of dyslipidaemia and its components by the receiver operating characteristic (ROC) curve. RESULTS: Of the 1660 participants, aged 19.06 ± 1.14 years, 558 males and 1102 females. The prevalence of dyslipidaemia was 13.4% and was significantly associated with FMR quintiles among all participants (P < 0.05). The ideal values of FMR in diagnosing dyslipidaemia were 0.2224 for males and 0.4809 for females, while males had a higher AUC than females (0.7118 vs. 0.6656). Meanwhile, high FMR values were significantly associated with adverse outcomes of dyslipidaemia, hypercholesterolemia and hypertriglyceridaemia (P < 0.05). CONCLUSIONS: The FMR was positively correlated with the prevalence of dyslipidaemia. The FMR can be used as an effective body composition index for diagnosing dyslipidaemia, especially in males, and preventive strategies should be initiated in transitional-age youth to decrease obesity-related dyslipidaemia.

Identification and immunological characterization of genes associated with ferroptosis in Alzheimer's disease and experimental demonstration.

 The incidence of Alzheimer's disease (AD) is rising globally, yet its treatment and prediction of this condition remain challenging due to the complex pathophysiological mechanisms associated with it. Consequently, the objective of the present study was to analyze and characterize the molecular mechanisms underlying ferroptosis­related genes (FEGs) in the pathogenesis of AD, as well as to construct a prognostic model. The findings will provide new insights for the future diagnosis and treatment of AD. First, the AD dataset GSE33000 from the Gene Expression Omnibus database and the FEGs from FerrDB were obtained. Next, unsupervised cluster analysis was used to obtain the FEGs that were most relevant to AD. Subsequently, enrichment analyses were performed on the FEGs to explore biological functions. Subsequently, the role of these genes in the immune microenvironment was elucidated through CIBERSORT. Then, the optimal machine learning was selected by comparing the performance of different machine learning models. To validate the prediction efficiency, the models were validated using nomograms, calibration curves, decision curve analysis and external datasets. Furthermore, the expression of FEGs between different groups was verified using reverse transcription quantitative PCR and western blot analysis. In AD, alterations in the expression of FEGs affect the aggregation and infiltration of certain immune cells. This indicated that the occurrence of AD is strongly associated with immune infiltration. Finally, the most appropriate machine learning models were selected, and AD diagnostic models and nomograms were built. The present study provided novel insights that enhance understanding with regard to the molecular mechanism of action of FEGs in AD. Moreover, the present study provided biomarkers that may facilitate the diagnosis of AD.

Effect of Balint training in gastroenterology intern nurse practitioners: A systematic review protocol.

BACKGROUND: This study aims to assess the effect of Balint training (BT) in gastroenterology intern nurse practitioners (GINP) systematically. METHODS: This study will search EMBASE, MEDLINE, PsycINFO, Web of Science, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, Allied and Complementary Medicine Database, and China National Knowledge Infrastructure from inception to the September 30, 2019 with no language limitation. In addition, we will also search grey records, such as conference abstracts and dissertations. Study quality will be checked using Cochran risk of bias tool. Statistical analysis will be performed using RevMan 5.3 software. RESULTS: This study will systematically evaluate the effect of BT in GINP and will provide evidence to judge whether BT is effective for GINP clinically. CONCLUSION: The results of this study may provide helpful evidence of BT in GINP in the clinical training.

Efficacy of furosemide for treatment of liver cirrhosis: A systematic review protocol of randomized controlled trial.

BACKGROUND: Previous clinical studies have reported that furosemide can be used to treat liver cirrhosis (LC) effectively. However, no study systematically explored this issue. This systematic review aims to investigate the efficacy and safety of furosemide for treatment of LC. METHODS: This study will be conducted through searching the following literature sources from their inception to February 28, 2019 without any language limitations: PUBMED, EMBASE, PsycINFO, Web of Science, Scopus, OpenGrey, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, Allied and Complementary Medicine Database, and Chinese Biomedical Literature Database. In addition, reference lists of relevant reviews and websites of clinical trial registry will also be searched. Only randomized controlled trials of furosemide for treatment of LC will be included in this study. Two reviewers will independently select studies, collect data, and determine risk of bias. RevMan 5.3 software will be used to pool the data and to conduct meta-analysis if sufficient studies will be included with acceptable heterogeneity. RESULTS: This study will investigate the efficacy and safety of furosemide for LC by the assessment of primary and secondary outcomes. The primary outcome includes mortality rate. The secondary outcomes consist of response rate, overall survival, body weight, urinary volume, quality of life, as measured by any relevant scales, and adverse events. CONCLUSION: The results of this study may provide summarized evidence of furosemide for the treatment of LC. ETHICS AND DISSEMINATION: No individual patient data will be used in this study, thus no ethics approval is needed. The findings of this study will be published in peer-reviewed journals.