Biomedical subjects

Yuan Yu

Publications and source records attributed to Yuan Yu.

5 recordsLinked to original sources

PubMed2025

Global epidemiology of diabetes and prediabetes in lean or non-obese patients with NAFLD: a systematic review and meta-analysis.

BACKGROUND: The presence of diabetes increases the risk of adverse outcomes of patients with non-alcoholic fatty liver disease (NAFLD) even in those with lean or non-obese NAFLD. However, the epidemiological data regarding the prevalence of diabetes and prediabetes in lean or non-obese NAFLD populations remain limited. We assessed the global epidemiology of diabetes and prediabetes in lean or non-obese patients with NAFLD. METHODS: Published studies were searched in PubMed, EMBASE, Cochrane Library, and Web of Science databases from the inception of the databases to October 2024. The pooled global prevalence of diabetes or prediabetes in patients with NAFLD was evaluated using random-effects meta-analysis. Subgroup meta-analysis and meta-regression were used to investigate potential sources of heterogeneity. RESULTS: A total of 54 studies involving 146,714 patients with non-obese or lean NAFLD were included. The pooled global prevalence of diabetes among patients with lean or non-obese NAFLD was 15.6% (95% CI 10.8%-22.7%). Studies from South America reported the highest prevalence (41.3%, CI 39.1%-43.5%). Meta-regression models showed that geographic region and mean age (p < 0.05) were associated with the were associated with the prevalence of diabetes, jointly accounting for 51.61% of the heterogeneity. The global prevalence of prediabetes among patients with lean or non-obese NAFLD was 22.9% (95% CI 12.5%-41.9%) with the highest prevalence reported in studies from Europe (34.4%, CI 23.0%-51.4%). Meta-regression models showed that geographic region and country (p < 0.05) were associated with the prevalence of prediabetes, jointly accounting for 73.65% of the heterogeneity. CONCLUSION: The pooled global prevalence of diabetes and prediabetes were 15.6% and 22.9% in lean or non-obese patients with NAFLD, respectively. These findings suggest the importance of diabetes screening in these patients.

Humans↗

PubMed2003

The TNF2 allele is a risk factor to severe aplastic anemia independent of HLA-DR.

Severe aplastic anemia (SAA) is a disease with an autoimmune component. The susceptibility to the development of SAA is strongly associated with genes in the major histocompatibility complex (MHC). The gene for tumor necrosis factor-alpha (TNF-alpha) is encoded in the MHC locus and TNF-alpha is involved in the pathogenesis of SAA. A TNF-alpha variant with a polymorphism at position -308 in its promoter region (-308A), which is designated TNF2, has been demonstrated to be linked to a number of autoimmune diseases. In this study, the TNF-alpha -308 promoter polymorphism and HLA-DRB1 alleles were analyzed in 75 SAA patients, 55 mild aplastic anemia patients (MAA), and 128 controls. In SAA the phenotype frequencies of TNF2, HLA-DR3, and -DR2 were significantly higher in comparison to controls. Stratification analysis confirmed that the TNF2 allele contributes to the susceptibility to SAA independently of HLA-DR3 or -DR2. The results indicated that TNF2 might act as an independent risk factor for SAA.

Adolescent↗

PubMed2002

Marine oil spill contingency planning.

According to the practice researching and formulating "The Oil Spill Contingency Plan of South Chinese Sea", this paper analyses and discusses the structure, functions and main contents of marine oil spill contingency planning, programs the organizing and commanding system and emergency response system, and advances the planning and researching method to coordinate comprehensively and to design practically the detailed emergency response steps until to formulate the ease operating programs for the plan implementation(PPI) and the PPI to apply high-techniques supporting emergency administrations and response.

Disaster Planning↗

PubMed2002

[Quantitative analysis of cell cyclin E expression threshold].

BACKGROUND & OBJECTIVES: It is important to analyze the threshold of cyclins when we research the mechanism of cell cycle progressing. However, there was no effective way to caculate quantitatively. This study was designed to analyze cyclin E expression threshold quantitatively. METHODS: MOLT-4 cells were detected at different photomultiplier tube (PMT) voltage by cyclin E/DNA multiparameter flow cytometry. Using this method, MOLT-4 cells were detected at the same voltage after being treated with caffeine and cycloheximide (CHX), and then MOLT-4 cells and JURKAT cells were detected at the same voltage. Threshold of cyclin E was counted by using formula B2/A x C (A, B, C indicates the minimum, threshold, and maximum of cyclin E fluorescence intensity respectively). RESULTS: Cyclin E threshold of MOLT-4 cells calculated by formula B2/A x C was invariable at different voltage. It decreased when cells treaded with caffeine and unchanged when treated with cycloheximide. At the same time, cyclin E threshold of JURKAT cells calculated by formula was much lower than that of Molt-4 cells. CONCLUSIONS: Formula B2/A x C can be used to analyze cyclin E expression threshold quantitatively.

Caffeine↗

PubMedDate not supplied

Cytokinetic analysis of cell cycle and sub-phases in MOLT-4 cells by cyclin E + A/DNA multiparameter flow cytometry.

Cell cycle analysis has become increasingly important in verifying the effect of anti-tumor drugs and cytokinetic research. In the early methods of cell cycle analysis, the flow cytometry relied on DNA content, and therefore, the cell cycle could be only broken into three stages: G(0)/G(1), S, and G(2)/M phase. It could not distinguish the G(0), G(1), G(2), and M phase cells, let alone the sub-phases in G(1) phase. In cell cycle, expression of cyclin E living up to the maximal level in the cells undergoing transition from G(1) to S phase, and G(2) + M cells are cyclin E negative. Expression of cyclin A is progressively increasing during S phase and is maximal in G(2) phase cells. Therefore, in the current study we established a cyclin E + A/DNA multiparameter flow cytometric technique by using a mixture of cyclin E and cyclin A antibodies, which can identify six stages in the whole cell cycle: G(0), early G(1), late G(1), S, G(2), and M phase. Furthermore, we found that cyclin E + A/DNA multiparameter flow cytometry could also be used for stathmokinetic analysis of lymphocyte leukemia MOLT-4 cells after addition of the stathmokinetic agent vinblastine to cultures of exponentially growing MOLT-4 cells. We believe that this new technique will provide a much better tool for molecular cell biology research and especially for cell proliferation kinetics investigations.

Antineoplastic Agents, Phytogenic↗