Investigation of the Oxidative Stress and DIO1 Expression in CRF Patients Accompanied With and Without Euthyroid Sick Syndrome.

BACKGROUND/AIMS: Chronic renal failure (CRF) is often accompanied by increased oxidative stress and euthyroid sick syndrome (ESS). The cause of ESS is unknown, and it is unknown whether there exists a link between oxidant stress and ESS in CRF patients. Therefore, we aim to investigate oxidative stress and type 1 deiodinase (DIO1) expression, which plays the key role in the ESS in CRF patients. METHODS: In-patients with CRF were divided into the two group: Group 1 is ESS patients consisting of 60 patients with low free triiodothyronine (FT3) and Group 2 consisting of 60 patients with normal FT3. Group 3 consisted of 60 healthy volunteers recruited as controls. The baseline clinical parameters of patients were evaluated with standard routine methods in a clinical laboratory. Serum levels of 8-isoprostane and DIO1 were measured by enzyme-linked immunosorbent assay (ELISA). Multiple regression analysis was used to analyze the relationship between oxidative stress, DIO1 and FT3. RESULTS: The concentrations of serum 8-Isoprostane in Group 1 and Group 2 were substantially higher than that of Group 3 (p< 0.05), however there was no significant difference between Group 1 and Group 2 (p=0.516). The serum DIO1 level was higher in Group 2 than in Group 1 and Group 3 (p< 0.001). Multivariate linear regression analysis revealed that the DIO1 concentration and FT3 level were not associated with the concentration of serum 8-Isoprostane. CONCLUSIONS: CRF patients showed elevated oxidative stress. The CRF patients without ESS showed higher expression of DIO1 than patients with ESS and the control group. The concentration of serum 8-Isoprostane was not correlated with FT3 and DIO1 levels.

[Spatial - temporal distribution of malaria in Jiangxi Province from 1950 to 2017].

OBJECTIVE: To explore the spatial-temporal distribution of malaria in Jiangxi Province from 1950 to 2017, so as to provide scientific evidence for developing the malaria elimination strategy. METHODS: The epidemic situation of malaria, demographic data, historical species of malaria parasites and transmission vectors were collected from each county of Jiangxi Province from 1950 to 2017 to create a geographic information system database of malaria in Jiangxi Province. The software ArcGIS 10.3 was used to analyze the incidence of malaria and display the spatial-temporal distribution of malaria in Jiangxi Province, so as to explore the spatial-temporal patterns of malaria in the province. RESULTS: From 1950 to 2017, the prevalence of malaria was classified into 3 stages in Jiangxi Province, including the peak period (from 1950 to 1975), the continuous decline period (from 1976 to 1997), and the low-level fluctuation period (from 1998 to 2017). During the period from 1950 through 2017, the incidence of malaria declined, the epidemic area of malaria shrank, and the intensity of malaria transmission gradually reduced to no local infections in Jiangxi Province. The spatial distribution of epidemic areas of malaria shifted from southern mountainous areas to northern plain areas, and finally aggregated, retained and disappeared in plain areas. The species of malaria parasites shifted from a co-endemic area for Plasmodium vivax, P. falciparum and P. malariae to a single endemic area for P. vivax, and finally a co-endemic area for imported P. vivax, P. falciparum, P. malariae and P. ovale. The transmission vectors shifted from multiple vectors of Anopheles sinensis, An. minimus, An. anthropophagus and others to a single vector of An. sinensis. CONCLUSIONS: There are no local malaria cases for successive 6 years since 2012, and the transmission of malaria has been interrupted in Jiangxi Province, in which the criteria for malaria elimination have been achieved. However, the risk of malaria transmission secondary to imported malaria will emerge in Jiangxi Province for a long period of time.

Liraglutide inhibits the apoptosis of human nucleus pulposus cells induced by high glucose through PI3K/Akt/caspase-3 signaling pathway.

Diabetes mellitus (DM) is a potential etiology of disc degeneration. Glucagon-like peptide-1 (GLP-1) is currently regarded as a powerful treatment option for type 2 diabetes. Apart from the beneficial effects on glycaemic control, GLP-1 has been reported to exert functions in a variety of tissues on modulation of cell proliferation, differentiation, and apoptosis. However, little is known regarding the effects of GLP-1 on nucleus pulposus cells (NPCs). In the present study, we investigated the effects of liraglutide (LIR), a long-lasting GLP-1 analogue, on apoptosis of human NPCs and the underlying mechanisms involved. We confirmed the presence of GLP-1 receptor (GLP-1R) in NPCs. Our data demonstrated that liraglutide inhibited the apoptosis of NPCs induced by high glucose (HG), as detected by Annexin V/Propidium Iodide (PI) and ELISA assays. Moreover, liraglutide down-regulated caspase-3 activity at intermediate concentration (100 nM) for maximum effect. Further analysis suggested that liraglutide suppressed reactive oxygen species (ROS) generation and stimulated the phosphorylation of Akt under HG condition. Pretreatment of cells with the Phosphoinositide 3-kinase (PI3K) inhibitor LY294002 (LY) and small interfering RNAs (siRNAs) GLP-1R abrogated the liraglutide-induced activation of Akt and the protective effects on NPCs' apoptosis. In conclusion, liraglutide could directly protect NPCs against HG-induced apoptosis by inhibiting oxidative stress and activate the PI3K/Akt/caspase-3 signaling pathway via GLP-1R.

[Risk assessment of secondary transmission induced by imported malaria in Jiangxi Province].

OBJECTIVE: To assess the risk of secondary transmission induced by imported malaria in Jiangxi Province, so as to provide the evidence for adjustment of malaria surveillance strategies in the key groups and areas. METHODS: The Delphi method was used to establish the secondary transmission risk indicator system and the weight of each index was obtained. The data of malaria prevalence, vector distribution and intervention capacity were collected in 100 counties of Jiangxi Province from 2012 to 2015. The transmission potential index (TPI), intervention capacity index (ICI), and malaria risk index (MRI) were calculated for each county. The risk map was drawn with GIS software. RESULTS: The top ten counties with highly potential risk indicators were Linchuan District (2.131), Xinzhou District (1.609), Jiujiang County (1.404), Zhanggong District (1.365), Fengcheng City (1.225), Qingshanhu District (1.184), Yudu County (1.171), Dingnan County (1.018), Xunyang District (1.015) and Zhushan District (1.006). The high risk areas were mainly distributed in the regions of the capitals of their prefectures and in counties with more floating population. CONCLUSIONS: There are the risk of the secondary transmission induced by imported malaria in Jiangxi Province. The high risk of the secondary transmission is shown in the areas with more floating population and weaker intervention capacity.