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Background: This meta-analysis investigated the influence of exercise on cognitive function in people living with diabetes. Methods: Stringent criteria for literature inclusion and exclusion were defined. Searches were conducted across four English databases to gather randomized controlled trials investigating exercise interventions for cognitive function in people living with diabetes. Outcome indicators from 1193 subjects across 12 articles were analyzed using RevMan 5.4 software. Results: Exercise intervention demonstrated the ability to mitigate cognitive decline in people living with diabetes, with a combined effect size (standardized mean difference) of 0.91, 95% CI: 0.28, 1.54, P < 0.00001. The intervention effect showed significant modulation by intervention content (I2 = 95%), intervention duration (I2 = 95%), intervention frequency (I2 = 95%), and intervention cycle (I2 = 96%). Among these factors, multi-component exercise, sessions >40 minutes, exercise frequency >4 times per week, and sustained exercise for >6 months were paramount, all with P < 0.05. Conclusion: Exercise intervention emerges as a viable strategy for delaying cognitive decline in people living with diabetes. Its efficacy is subject to modulation by various variables. Optimal intervention includes multi-component exercise, individual sessions lasting 40–60 minutes, exercising >4 times a week, and continuous exercise for over 6 months. [ABSTRACT FROM AUTHOR]

Based on the land economic density of 892 town units, the spatial pattern of the land economic density in Zhejiang Province is analyzed using the coefficient of variation, spatial classification, and spatial correlation methods, and the influencing factors are analyzed using a spatial regression model. The results are as follows: (1) The coefficients of variation were 2.6 and 3.1 in 2014 and 2019, respectively, indicating that the degree of imbalance of the town's industrial economy at the county level increased. (2) The distribution of the high-level agglomeration areas was characterized by one core area and two sub-core areas. The main core area was located at the junction of Hangzhou City, Shaoxing City, and Jiaxing City, and the two sub-core areas were located in Yuyao City and the main urban area of Ningbo City. In addition, several small-scale agglomeration areas composed of medium and high-level units were distributed in Wenzhou City. (3) The high-value agglomeration and low-value agglomeration distribution in the spatial correlation patterns was identified using the spatial auto-correlation method. The hot spots and sub-hot spots were distributed in Northern Zhejiang, and the cold spots formed a large-scale agglomeration in Quzhou City, Lishui City, Taizhou City, and several other cities in Southern Zhejiang. (4) Compared with the county scale, the spatial scope of the high-level areas in Northern Zhejiang shrunk significantly at the township scale, and the high-level agglomeration areas along the southeast coast changed into a cluster of several townships. (5) According to the geographically weighted regression (GWR) model, the importance of influencing factors is as follows: population density > regional area > industrial output value per capita > total population > proportion of secondary and tertiary personnel > total employees. [ABSTRACT FROM AUTHOR]

Objective To investigate the effects of Hes1 gene on the proliferation, migration and invasion of hepatocellular carcinoma cell line Hep1-6. Methods Cell proliferation, cell colony formation, migration and invasion were measured after Hes1 gene were overexpressed in Hep1-6 cells mediated by recombinant adenovirus. Results The clone numbers of Hep1-6 cells infected with Ad-Hes1 were significantly less than the control group infected with Ad-GFP (P < 0.001). Six days after Ad-Hes1 infection, OD450nm of Hep1-6 cells were significantly lower than that of control group (P < 0.01). The wound healing rates of Hep1-6 cells infected with Ad-Hes1 at 24h and 48h were significantly lower than those of the control group (P < 0.001). The number of Hep1-6 cells infected with Ad-Hes1 migrating into the lower chamber of Transwell after 48 h of culture was significantly lower than that of the control group (P < 0.001). The number of Hep1-6 cells infected with Ad-Hes1 invading into the lower chamber of Transwell after 48h of culture was significantly lower than that in the control group (P < 0.01). Conclusion Hes1 could suppress the proliferation, migration and invasion of Hep1-6 cells.

The generation of functional hepatocytes independent of donor liver organs is of great therapeutic interest with regard to regenerative medicine and possible cures for liver disease (1). Induced hepatic differentiation has been achieved previously using embryonic stem cells or induced pluripotent stem cells (2-8). Particularly, hepatocytes generated from a patient's own induced pluripotent stem cells could theoretically avoid immunological rejection. However, the induction of hepatocytes from induced pluripotent stem cells is a complicated process that would probably be replaced with the arrival of improved technology. Overexpression of lineage-specific transcription factors directly converts terminally differentiated cells into some other lineages (9-12), including neurons (13), cardiomyocytes (14) and blood progenitors (15); however, it remains unclear whether these lineage-converted cells could repair damaged tissues in vivo. Here we demonstrate the direct induction of functional hepatocyte-like (iHep) cells from mouse tail-tip fibroblasts by transduction of Gata4, Hnf1α and Foxa3, and inactivation of [p19.sup.Arf]. iHep cells show typical epithelial morphology, express hepatic genes and acquire hepatocyte functions. Notably, transplanted iHep cells repopulate the livers of fumarylacetoacetate-hydrolase-deficient ([Fah.sup.-/-]) mice and rescue almost half of recipients from death by restoring liver functions. Our study provides a novel strategy to generate functional hepatocyte-like cells for the purpose of liver engineering and regenerative medicine., Fourteen mouse transcription factors (14TF, Supplementary Table 1) important for liver development and function (16-19) were transduced into immortalized 3T3 fibroblasts, mouse embryonic fibroblasts (MEFs) and tail-tip fibroblasts (TTFs) via [...]