1.Effect of National Metabolic Management Center mode in metabolic indexes in different age patients with type 2 diabetic mellitus
Ping WANG ; Lianyong LIU ; Jianhua ZHANG ; Weiping LI ; Yunxia GAN ; Shiya CAI ; Hong WU
Chinese Journal of Postgraduates of Medicine 2025;48(5):428-434
Objective:To explore the impact of National Metabolic Management Center (MMC) mode on the metabolic indexes in different age patients with type 2 diabetic mellitus (T2DM).Methods:A prospective study method was used. A total of 798 T2DM patients underwent the MMC mode management in Shanghai Punan Hospital of Pudong New District from May 2021 to August 2024 were selected. The patients followed the MMC one-stop diagnosis and treatment management service standards to enter the registration, treatment, examination and follow-up processes. The average follow-up time was 12.0 months. The glucose and lipid metabolism indexes, blood pressure and body mass index (BMI) before intervention and after receiving the intervention by MMC were measured. The glucose and lipid metabolism indexes included triacylglycerol, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin. The control rates of blood glucose, blood lipid, blood pressure and BMI were calculated after intervention.Results:The triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention in patients with T2DM were significantly lower than those before intervention: (1.75 ± 1.63) mmol/L vs. (2.08 ± 1.74) mmol/L, (4.37 ± 1.11) mmol/L vs. (4.88 ± 1.24) mmol/L, (2.47 ± 0.92) mmol/L vs. (2.92 ± 0.98) mmol/L, (6.54 ± 1.71) mmol/L vs. (8.12 ± 3.05) mmol/L, (9.04 ± 3.49) mmol/L vs. (12.10 ± 5.28) mmol/L and (6.89 ± 1.23)% vs. (8.85 ± 2.31)%, the HDL-C after intervention was significantly higher than that before intervention: (1.21 ± 0.31) mmol/L vs. (1.13 ± 0.29) mmol/L, and there were statistical differences ( P<0.01). The control rates of blood lipid and blood glucose after intervention in patients with T2DM were significantly higher than those before intervention: 54.6% (436/798) vs. 37.3% (298/798) and 62.0% (495/798) vs. 26.1% (208/798), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with age <50 years and from 50 to 59 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, the HDL-C after intervention was significantly higher than that before intervention, and there were statistical differences ( P<0.05 or <0.01); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention, the patients with <50 years: 44.5% (114/256) vs. 27.7% (71/256) and 76.6% (196/256) vs. 28.9% (74/256), the patients with 50 to 59 years: 54.8% (86/157) vs. 28.0% (44/157) and 66.9% (105/157) vs. 24.8% (39/157), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure between before intervention and after intervention ( P>0.05). In T2DM patients with age from 60 to 69 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there was no statistical differences in HDL-C before intervention and after intervention ( P>0.05); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention: 59.0% (177/300) vs. 47.3% (142/300) and 53.3% (160/300) vs. 25.7% (77/300), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with aged ≥70 years, the total cholesterol, LDL-C, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there were no statistical difference in triacylglycerol, HDL-C and fasting blood glucose between before intervention and after intervention ( P>0.05); the control rate of blood glucose after intervention was significantly higher than that before intervention: 48.2% (41/85) vs. 22.4% (19/85), and there was statistical difference ( P<0.01); there were no statistical differences in the control rates of BMI, blood pressure and blood lipid between before intervention and after intervention ( P>0.05). Conclusions:The intervention based on MMC mode management could effectively improve the glucose and lipid metabolism in patients with T2DM, especially for patients with aged <70 years. However, additional health guidance is needed for patients with aged ≥ 70 years to further enhance their health benefits.
2.Effect of National Metabolic Management Center mode in metabolic indexes in different age patients with type 2 diabetic mellitus
Ping WANG ; Lianyong LIU ; Jianhua ZHANG ; Weiping LI ; Yunxia GAN ; Shiya CAI ; Hong WU
Chinese Journal of Postgraduates of Medicine 2025;48(5):428-434
Objective:To explore the impact of National Metabolic Management Center (MMC) mode on the metabolic indexes in different age patients with type 2 diabetic mellitus (T2DM).Methods:A prospective study method was used. A total of 798 T2DM patients underwent the MMC mode management in Shanghai Punan Hospital of Pudong New District from May 2021 to August 2024 were selected. The patients followed the MMC one-stop diagnosis and treatment management service standards to enter the registration, treatment, examination and follow-up processes. The average follow-up time was 12.0 months. The glucose and lipid metabolism indexes, blood pressure and body mass index (BMI) before intervention and after receiving the intervention by MMC were measured. The glucose and lipid metabolism indexes included triacylglycerol, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin. The control rates of blood glucose, blood lipid, blood pressure and BMI were calculated after intervention.Results:The triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention in patients with T2DM were significantly lower than those before intervention: (1.75 ± 1.63) mmol/L vs. (2.08 ± 1.74) mmol/L, (4.37 ± 1.11) mmol/L vs. (4.88 ± 1.24) mmol/L, (2.47 ± 0.92) mmol/L vs. (2.92 ± 0.98) mmol/L, (6.54 ± 1.71) mmol/L vs. (8.12 ± 3.05) mmol/L, (9.04 ± 3.49) mmol/L vs. (12.10 ± 5.28) mmol/L and (6.89 ± 1.23)% vs. (8.85 ± 2.31)%, the HDL-C after intervention was significantly higher than that before intervention: (1.21 ± 0.31) mmol/L vs. (1.13 ± 0.29) mmol/L, and there were statistical differences ( P<0.01). The control rates of blood lipid and blood glucose after intervention in patients with T2DM were significantly higher than those before intervention: 54.6% (436/798) vs. 37.3% (298/798) and 62.0% (495/798) vs. 26.1% (208/798), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with age <50 years and from 50 to 59 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, the HDL-C after intervention was significantly higher than that before intervention, and there were statistical differences ( P<0.05 or <0.01); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention, the patients with <50 years: 44.5% (114/256) vs. 27.7% (71/256) and 76.6% (196/256) vs. 28.9% (74/256), the patients with 50 to 59 years: 54.8% (86/157) vs. 28.0% (44/157) and 66.9% (105/157) vs. 24.8% (39/157), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure between before intervention and after intervention ( P>0.05). In T2DM patients with age from 60 to 69 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there was no statistical differences in HDL-C before intervention and after intervention ( P>0.05); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention: 59.0% (177/300) vs. 47.3% (142/300) and 53.3% (160/300) vs. 25.7% (77/300), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with aged ≥70 years, the total cholesterol, LDL-C, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there were no statistical difference in triacylglycerol, HDL-C and fasting blood glucose between before intervention and after intervention ( P>0.05); the control rate of blood glucose after intervention was significantly higher than that before intervention: 48.2% (41/85) vs. 22.4% (19/85), and there was statistical difference ( P<0.01); there were no statistical differences in the control rates of BMI, blood pressure and blood lipid between before intervention and after intervention ( P>0.05). Conclusions:The intervention based on MMC mode management could effectively improve the glucose and lipid metabolism in patients with T2DM, especially for patients with aged <70 years. However, additional health guidance is needed for patients with aged ≥ 70 years to further enhance their health benefits.
3.Wireless closed-loop deep brain stimulation using microelectrode array probes
JIA QIANLI ; LIU YAOYAO ; LV SHIYA ; WANG YIDING ; JIAO PEIYAO ; XU WEI ; XU ZHAOJIE ; WANG MIXIA ; CAI XINXIA
Journal of Zhejiang University. Science. B 2024;25(10):803-823
Deep brain stimulation(DBS),including optical stimulation and electrical stimulation,has been demonstrated considerable value in exploring pathological brain activity and developing treatments for neural disorders.Advances in DBS microsystems based on implantable microelectrode array(MEA)probes have opened up new opportunities for closed-loop DBS(CL-DBS)in situ.This technology can be used to detect damaged brain circuits and test the therapeutic potential for modulating the output of these circuits in a variety of diseases simultaneously.Despite the success and rapid utilization of MEA probe-based CL-DBS microsystems,key challenges,including excessive wired communication,need to be urgently resolved.In this review,we considered recent advances in MEA probe-based wireless CL-DBS microsystems and outlined the major issues and promising prospects in this field.This technology has the potential to offer novel therapeutic options for psychiatric disorders in the future.
4.Research progress of Parkinson’s genetic variation based on multi-omics platform
Qian XU ; Yibo CONG ; Shaojian XIAO ; Wei QIN ; Shiya CHEN ; Jing CAI
Chinese Journal of Neuromedicine 2016;15(7):748-751
“Omics” is a integral thought, which can provide a non-bias method, identify the biochemical pathways of the diseases, and ultimately determine the target for future research. It includes genomics, transcriptomics, proteomics and metabonomics. We elaborate the cooperative development of omics in recent years and it’s role in the genetic variation in Parkinson's disease in this article.

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