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Artificial intelligence has been widely used in diabetes care. This article reviews summarizes the research of artificial intelligence in diabetes care from the theoretical basis of artificial intelligence intervention, intervention mode and influence on patients in order to provide reference for future clinical research in diabetes care.
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have resulted in a number of severe cases of COVID-19 and deaths worldwide. However, knowledge of SARS-CoV-2 infection, diseases and therapy remains limited, underlining the urgency of fundamental studies and drug development. Studies have shown that induction of autophagy and hijacking of autophagic machinery are essential for infection and replication of SARS-CoV-2; however, the mechanism of this manipulation and function of autophagy during SARS-CoV-2 infection remain unclear. In the present study, we identified ORF3 as an inducer of autophagy and revealed that ORF3 localizes to the ER and induces FAM134B-related ERphagy through the HMGB1-Beclin1 pathway. As a consequence, ORF3 induces ER stress and inflammatory responses through ERphagy and sensitizes cells to ER stress-induced cell death, suggesting that SARS-CoV-2 ORF3 hijacks ERphagy and then harms ER homeostasis to induce inflammatory responses through excessive ER stress. These findings reveal a sequential induction of ERphagy, ER stress and acute inflammatory responses during SARS-CoV-2 infection and provide therapeutic potential for ERphagy and ER stress-related drugs for COVID-19 treatment and prevention. ImportanceSARS-CoV-2 infection and replication require autophagosome-like double-membrane vacuoles. Inhibition of autophagy suppresses viral replication, indicating the essential role of autophagy in SARS-CoV-2 infection. However, how SARS-CoV-2 hijacks autophagy and the function of autophagy in the disease progression remain unknown. Here, we reveal that SARS-CoV-2 ORF3 induces ERphagy and consequently induces ER stress to trigger acute inflammatory responses and enhance sensitivity to ER stress-induced apoptosis. Our studies uncover ERphagy-induced inflammatory responses during SARS-CoV-2 infection and provide a promising therapeutic approach for treating SARS-CoV-2 infection and inflammatory responses in COVID-19 by manipulating autophagy and ER stress.
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Objective@#To explore the effect of Teach-back health education model on health education for patients after percutaneous coronary intervention (PCI).@*Methods@#Eighty patients after PCI operation in cardiology were selected, 40 patients selected from February to March as control group and 40 patients selected from April to May as observation group according to the time of admission in 2018. The control group used the routine health education method, based on this, the observation group used the "Teach-back" health education model to healthy educate patients. Three months after the intervention, the results of body mass index (BMI), triglycerides, total cholesterol, low-density lipoprotein, Seattle angina questionnaire (SAQ), and Morisky questionnaire were evaluated.@*Results@#After 3 months of intervention, the triglyceride, total cholesterol, and low-density lipoprotein in the observation group were (1.35±0.43), (3.99±0.57), and (2.32±0.24) mmol/L, which were lower than the control group (1.63±0.38), (4.31±0.73), (2.61±0.28) mmol/L, the difference between the two groups was statistically significant (t=3.082, 2.717, 5.048, P<0.01 or 0.05). After 3 months of intervention, evaluate the SAQ score of the observation group, the degree of physical limitation, the stability of angina pectoris, the degree of angina pectoris, the satisfaction of treatment, and the disease cognition were respectively (76.16±5.03), (88.75±14.92), and (84.25±12.17), (84.76±5.11), (82.79±9.64) points, which were higher than the control group (68.94±9.80), (80.63±17.44), (76.25±12.34), (70.80±7.00), (70.50±13.85) points, the differences were statistically significant (t=-4.145, Z=-5.848--2.166, P < 0.05). After 3 months of intervention, the Morisky questionnaires of the observation group and the control group were (2.43±0.78) and (3.80±0.41) points, and the difference was statistically significant (Z=-6.848, P<0.05).@*Conclusion@#The application of Teach-back health education model to patients after PCI has a good effect.
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Objective To explore the effect of Teach-back health education model on health education for patients after percutaneous coronary intervention (PCI). Methods Eighty patients after PCI operation in cardiology were selected, 40 patients selected from February to March as control group and 40 patients selected from April to May as observation group according to the time of admission in 2018. The control group used the routine health education method, based on this, the observation group used the"Teach-back"health education model to healthy educate patients. Three months after the intervention, the results of body mass index (BMI), triglycerides, total cholesterol, low-density lipoprotein, Seattle angina questionnaire (SAQ), and Morisky questionnaire were evaluated. Results After 3 months of intervention, the triglyceride, total cholesterol, and low-density lipoprotein in the observation group were (1.35±0.43), (3.99±0.57), and (2.32±0.24) mmol/L, which were lower than the control group (1.63±0.38), (4.31 ± 0.73), (2.61 ± 0.28) mmol/L, the difference between the two groups was statistically significant (t=3.082, 2.717, 5.048, P<0.01 or 0.05). After 3 months of intervention, evaluate the SAQ score of the observation group, the degree of physical limitation, the stability of angina pectoris, the degree of angina pectoris, the satisfaction of treatment, and the disease cognition were respectively (76.16±5.03), (88.75± 14.92), and (84.25±12.17), (84.76±5.11), (82.79±9.64) points, which were higher than the control group (68.94 ± 9.80), (80.63 ± 17.44), (76.25 ± 12.34), (70.80 ± 7.00), (70.50 ± 13.85) points, the differences were statistically significant (t=-4.145, Z=-5.848--2.166, P < 0.05). After 3 months of intervention, the Morisky questionnaires of the observation group and the control group were (2.43±0.78) and (3.80±0.41) points, and the difference was statistically significant (Z=-6.848, P<0.05). Conclusion The application of Teach-back health education model to patients after PCI has a good effect.
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Objective To explore the relationship between serum adiponectin (APN) concentration and insulin resistance(IR) in elderly pregnancy patients(GDM) with gestational diabetes mellitus.Methods Data of 120 cases of elderly pregnancy patients with gestational diabetes mellitus admitted from Jan.2011 to Dec.2016 were retrospective analyzed.The relationship between serum APN concentration and IR was assayed.Healthy subjects and normal pregnancy patients in our Department were taken as the control.Results The concentration of APN was lower while the CysC,BNP,IGF1,IGF2 and IGFIR were higher in elderly pregnancy patients with gestational diabetes mellitus than those in the control group with a significant difference (P＜0.05).At the same time,Spearman analysis results showed that the serum APN was negatively related with IR while CysC,BNP,IGF1,IGF2 and IGFIR were positively related with IR (P＜0.05).Conclusion Theserumconcentrationofadiponectin and visfatin were negatively related with insulin resistance in elderly pregnancy patients with GDM.
