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1.
PeerJ ; 12: e17055, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38500527

RESUMO

Background and Objectives: Recent studies have shown that the imbalance of intestinal flora is related to the occurrence and progression of diabetic nephropathy (DN) and can affect lipid metabolism. Sodium-dependent glucose transporters 2 (SGLT2) inhibitor and glucagon-like peptide-1 (GLP-1) receptor agonist are commonly used hypoglycemic drugs and have excellent renal safety. The purpose of this study was to compare the protective effects of empagliflozin and liraglutide on kidneys, lipid metabolism, and intestinal microbiota in diabetic mice. Methods: We established a mouse model of type two diabetes by feeding rats a high-fat diet (HFD) followed by an intraperitoneal injection of STZ. The mice were randomly divided into groups: normal control (NC), diabetic model (DM), liraglutide treatment (LirT), empagliflozin treatment (EmpT), and liraglutide combined with empagliflozin treatment (Emp&LirT) groups. Blood glucose, lipids, creatinine, and uric acid, as well as urinary nitrogen and albumin levels were measured. The renal tissues were subjected to HE, PAS and Masson's staining. These parameters were used to evaluate renal function and histopathological changes in mice. Mice feces were also collected for 16sRNA sequencing to analyze the composition of the intestinal flora. Results: All the indexes related to renal function were significantly improved after treatment with drugs. With respect to lipid metabolism, both drugs significantly decreased the serum triglyceride levels in diabetic mice, but the effect of liraglutide on reducing serum cholesterol was better than that of empagliflozin. However, empagliflozin had a better effect on the reduction of low-density lipoproteins (LDL). The two drugs had different effects on intestinal flora. At the phylum level, empagliflozin significantly reduced the ratio of Firmicutes to Bacteroidota, but no effect was seen with liraglutide. At the genus level, both of them decreased the number of Helicobacter and increased the number of Lactobacillus. Empagliflozin also significantly increased the abundance of Muribaculaceae, Muribaculum, Olsenella, and Odoribacter, while liraglutide significantly increased that of Ruminococcus. Conclusion: Liraglutide and empagliflozin were both able to improve diabetes-related renal injury. However, the ability of empagliflozin to reduce LDL was better compared to liraglutide. In addition, their effects on the intestine bacterial flora were significantly different.


Assuntos
Compostos Benzidrílicos , Diabetes Mellitus Experimental , Microbioma Gastrointestinal , Glucosídeos , Inibidores do Transportador 2 de Sódio-Glicose , Camundongos , Ratos , Animais , Liraglutida/farmacologia , Diabetes Mellitus Experimental/tratamento farmacológico , Metabolismo dos Lipídeos , Inibidores do Transportador 2 de Sódio-Glicose/farmacologia
2.
Cardiovasc Diagn Ther ; 10(5): 1192-1199, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-33224743

RESUMO

BACKGROUND: This study explores the effect of brain and heart health manager (BHHM)-led stroke secondary prevention on blood pressure, and in improving the self-management ability of stroke patients. The BHHM has not been reported. METHODS: A total of 200 stroke patients, who were discharged from our hospital, were randomized into two groups at a 1:1 ratio: intervention group and control group. Patients in the control group were followed up for six months via telephone, while patients in the experimental group were followed up for six months using the BHHM-led mHealth follow-up. The primary outcomes were systolic blood pressure (BP) and self-management ability at 3, 6, 9 and 12 months, while the secondary outcomes included medication adherence, the body mass index (BMI), and blood low-density lipoprotein. RESULTS: The systolic BP between these two groups at four time points (Ftime =8.734, Fgroup =172.075, and Finteraction =11.363) was statistically significant (P<0.05). The self-health management ability at four time points during follow-up period (Ftime =115.09, Fgroup =1,185.50, and Finteraction =108.22) was also significantly different between these two groups. Furthermore, there was a statistically significant difference in compliance with medication at six months (χ2=37.616, P=0.000). However, after one year, there were no significant differences in BMI (t=0.214, P=0.644), total cholesterol (t=0.56, P=0.837), and low-density lipoprotein (t=0.042, P=0.455). CONCLUSIONS: The BHHM-led mHealth follow-up is an effective method for managing BP and improving the self-care ability. Furthermore, this approach has no obvious effect on the management of BMI and blood low-density lipoprotein. A potential signal of efficacy with the intervention was observed.

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