非胰岛素类糖尿病治疗新药研究进展

糖尿病是一种以高血糖为特征的慢性代谢性疾病,随着生活水平的提高,其发病率逐年上升,已成为危害人类健康的重要因素之 一。对于糖尿病的治疗药物研究,也从对传统机制的药物研究过渡到对具有新靶点和新作用机制的药物研究。其中基于这些新靶点设计 的新型非胰岛素类糖尿病治疗药物已进入临床研究阶段或已上市,给糖尿病的治疗带来了新的思路。按作用靶点和机制分类对较有开发 前景的非胰岛素类糖尿病治疗新药的研究进展进行综述。     

糖尿病治疗药物应用及研究进展

糖尿病(DM)是以糖代谢失常的一种常见疾病,以高血糖为主要标志,其中I型糖尿病多发生于青少年,因胰岛素分泌缺乏,必须依赖胰岛素治疗。2型糖尿病多见于中老年人,主要由对胰岛素不敏感(即胰岛素抵抗)所致。自1992年第一个治疗DM的特效药物胰岛素问世以来,抗糖尿病药物的研发已取得长足进展,一些基于新的作用靶点的抗糖尿病药物已进入临床前或临床研究阶段。     

肠道菌群及其代谢产物与T2DM发病机制及干预措施*

2型糖尿病(type 2 diabetes mellitus,T2DM)是一种因胰岛素分泌不足或胰岛素抵抗而引起的慢性代谢疾病,T2DM患病人数的快速增长使治疗和预防T2DM成为世界上亟待解决的医学问题。随着微生物组学技术的进步,肠道菌群及其代谢产物与T2DM的研究亦逐渐深入,肠道菌群可能成为治疗和预防T2DM的靶点。肠道菌群及其代谢产物作用于T2DM的潜在机制,主要是参与体内炎症反应、增加肠道短链脂肪酸产量、调节肠道胆汁酸的代谢、调节支链氨基酸的代谢等。目前,治疗T2DM的药物可能会产生一些副作用,而基于肠道菌群干预T2DM的措施相对安全无害。例如,可通过严格控制的特定结构饮食长期摄入或增加益生菌的长期摄取控制血糖,或通过口服可影响肠道菌群生态结构的降糖药物(二甲双胍、阿卡波糖)有效地调控血糖水平。综述基于肠道菌群及其代谢产物诱发T2DM的潜在机制,研讨基于肠道菌群干预T2DM的措施,从肠道菌群的新视角探索治疗T2DM的新方法,为彻底治疗T2DM提供一种新可能。     

锌转运蛋白8与1型和2型糖尿病的研究进展

ZnT8(zinc transporter,member8)是锌离子转运蛋白,主要定位于胰岛β细胞,能将胞浆锌离子转运至胰岛素储存/分泌性囊泡内,其转运功能降低会影响胰岛素合成、储存和分泌,能增加2型糖尿病(T2DM)的发病风险。ZnT8蛋白也可作为抗原引起β细胞自身免疫损伤,诱发1型糖尿病(T1DM)。ZnT8基因多态性是引起其锌离子转运功能和免疫原性变化的重要因素,与糖尿病的发生、发展密切相关。该文综述了ZnT8与T1DM和T2DM的研究进展,提示ZnT8可作为糖尿病防治的新药物靶点。     

用抗糖尿病药物GLP-1及其类似物治疗阿尔茨海默病

流行病学和基础研究表明阿尔茨海默病（Alzheimert＇s disease,AD）与2型糖尿病（type 2 diabetes mellitus,T2DM）存在密切关联：T2DM是AD的危险因素之一;而AD脑内也出现胰岛素信号异常、胰岛素抵抗状态,因而被称为“第3类型的糖尿病”。近年来治疗T2DM的新药——胰高血糖素样肽-1（glucagon-1ike peptide-1,GLP-1）及其类似物,已被证实具有神经保护作用,且能改善AD模型的记忆和认知功能,为AD治疗药物的研究提供了新的策略。     

IL-6与2型糖尿病关系的研究进展

2型糖尿病(T2DM)已成为全世界危害人类健康的主要疾病,且患病率逐年增加.虽然T2DM确切的发病机制尚未完全阐明,但越来越多的证据提示T2DM的发生同炎症密切相关.IL-6是参与炎症反应的重要的细胞因子,研究发现IL-6在T2DM及其并发症的发生发展中起重要的作用.通过阻断炎症因子及其受体的抗炎治疗明显降低糖尿病的发生率或延迟其发展.这将有望给T2DM的防治提供新途径,为临床早发现及治疗提供更多的科学依据.     

常用口服降糖药的药物基因组学研究进展

近年来,中国 2 型糖尿病(T2DM)发病率呈快速增长趋势。T2DM 是一种慢性代谢性疾病,涉及全身各个系统,甚至可能引起严 重的并发症。大多数 T2DM 患者需长期口服降糖药物。口服降糖药的药物基因组学研究可指导个体化治疗,改善疗效,降低用药成本,减 少不良反应和并发症风险,已成为当前研究的热点。综述常用口服降糖药药效学和药代动力学参数的相关基因多态性研究进展,为更加合理、 有效地进行糖尿病临床个体化治疗提供参考。     

Nrf2及其药理性活化剂在糖尿病心血管并发症中的作用

糖尿病(DM)导致的心脑血管并发症是危害人类健康的重大疾病。氧化应激被认为是DM相关心血管并发症发生、发展的重要机制,但通过补充外源性抗氧化剂并未能使心血管疾病患者远期获益。核因子E2相关因子2(Nrf2)可增加内源性抗氧化酶的活性从而提高机体的抗氧化应激能力,可能是治疗糖尿病心血管并发症的一个重要靶点,提示靶向Nrf2药物的开发可能获得防治糖尿病相关血管并发症的新一代药物。本文就Nrf2在糖尿病相关心血管并发症发生、发展中的作用及其药理性活化剂对糖尿病(DM)相关心血管病变的治疗作用进行综述。     

基因技术在治疗2型糖尿病中的应用*

2型糖尿病(type 2 diabetes mellitus, T2DM)是一类由于胰岛β细胞损伤和机体对胰岛素耐受引发的慢性代谢性疾病,其快速增长的患病率和并发症所带来的高病死率已成为人类面临的医学难题。目前,T2DM主要是以降糖药物及胰岛素增敏剂等药物进行治疗,但是这类药物会产生严重的副作用,而且不能长期良好控制血糖和防止各种慢性并发症。因此,基因治疗是未来医疗发展的主要方向。基因治疗不仅可以靶向调控血糖水平进而提高降糖的效果,而且能够减少糖代谢异常引起的并发症,保护组织器官免受损伤。在认识传统药物治疗糖尿病的基础上,综述了基因技术在治疗T2DM中的应用,讨论了基因技术治疗T2DM的意义及存在的问题。基因技术的应用不仅有利于T2DM的预防和个体化治疗,同时也为糖尿病并发症提供了新的治疗途径。     

基因技术在治疗2型糖尿病中的应用*

2型糖尿病(type 2 diabetes mellitus, T2DM)是一类由于胰岛β细胞损伤和机体对胰岛素耐受引发的慢性代谢性疾病,其快速增长的患病率和并发症所带来的高病死率已成为人类面临的医学难题。目前,T2DM主要是以降糖药物及胰岛素增敏剂等药物进行治疗,但是这类药物会产生严重的副作用,而且不能长期良好控制血糖和防止各种慢性并发症。因此,基因治疗是未来医疗发展的主要方向。基因治疗不仅可以靶向调控血糖水平进而提高降糖的效果,而且能够减少糖代谢异常引起的并发症,保护组织器官免受损伤。在认识传统药物治疗糖尿病的基础上,综述了基因技术在治疗T2DM中的应用,讨论了基因技术治疗T2DM的意义及存在的问题。基因技术的应用不仅有利于T2DM的预防和个体化治疗,同时也为糖尿病并发症提供了新的治疗途径。     

Sulfathiazole treats type 2 diabetes by restoring metabolism through activating CYP19A1

Globally, diabetes mellitus has been a major epidemic bringing metabolic and endocrine disorders. Currently, 1 in 11 adults suffers from diabetes mellitus, among the patients >90% contract type 2 diabetes mellitus (T2DM). Therefore, it is urgent to develop new drugs that effectively prevent and treat type 2 diabetes through new targets. With high-throughput screening, we found that sulfathiazole decreased the blood glucose and improved glucose metabolism in T2DM mice. Notably, we discovered that sulfathiazole treated T2DM by activating CYP19A1 protein to synthesize estrogen. Collectively, sulfathiazole along with CYP19A1 target bring new promise for the better therapy of T2DM.     

TNF-alpha −308G/A and −238G/A polymorphisms and its protein network associated with type 2 diabetes mellitus

Several reports document the role of tumor necrosis factor alpha (TNF-α) and lipid metabolism in the context of acute inflammation as a causative factor in obesity-associated insulin resistance and as one of the causative parameter of type 2 diabetes mellitus (T2DM). Our aim was to investigate the association between −308G/A and −238G/A polymorphisms located in the promoter region of the TNF-α gene in T2DM in the Indian population with bioinformatics analysis of TNF-α protein networking with an aim to find new target sites for the treatment of T2DM. Demographics of 100 diabetes patients and 100 healthy volunteers were collected in a structured proforma and 3 ml blood samples were obtained from the study group, after approval of Institutional Ethics Committee of the hospital (IEC). The information on clinical parameters was obtained from medical records. Genomic DNA was extracted; PCR–RFLP was performed using TNF-α primers specific to detect the presence of SNPs. Various bioinformatics tools such as STRING software were used to determine its network with other associated genes. The PCR–RFLP studies showed that among the −238G/A types the GG genotype was 87%, GA genotype was 12% and AA genotype was 1%. Almost a similar pattern of results was obtained with TNF-α −308G/A polymorphism. The results obtained were evaluated statistically to determine the significance. By constructing TNF-α protein interaction network we could analyze ontology and hubness of the network to identify the networking of this gene which may influence the functioning of other genes in promoting T2DM. We could identify new targets in T2DM which may function in association with TNF-α. Through hub analysis of TNF-α protein network we have identified three novel proteins RIPK1, BIRC2 and BIRC3 which may contribute to TNF-mediated T2DM pathogenesis. In conclusion, our study indicated that some of the genotypes of TNF-α −308G/A, −238G/A were not significantly associated to type 2 diabetes mellitus, but TNF-α −308G/A polymorphism was reported to be a potent risk factor for diabetes in higher age (>45) groups. Also, the novel hub proteins may serve as new targets against TNF-α T2DM pathogenesis.     

Use of a High-Density Protein Microarray to Identify Autoantibodies in Subjects with Type 2 Diabetes Mellitus and an HLA Background Associated with Reduced Insulin Secretion

New biomarkers for type 2 diabetes mellitus (T2DM) may aid diagnosis, drug development or clinical treatment. Evidence is increasing for the adaptive immune system’s role in T2DM and suggests the presence of unidentified autoantibodies. While high-density protein microarrays have emerged as a useful technology to identify possible novel autoantigens in autoimmune diseases, its application in T2DM has lagged. In Pima Indians, the HLA haplotype (HLA-DRB1*02) is protective against T2DM and, when studied when they have normal glucose tolerance, subjects with this HLA haplotype have higher insulin secretion compared to those without the protective haplotype. Possible autoantibody biomarkers were identified using microarrays containing 9480 proteins in plasma from Pima Indians with T2DM without the protective haplotype (n = 7) compared with those with normal glucose regulation (NGR) with the protective haplotype (n = 11). A subsequent validation phase involving 45 cases and 45 controls, matched by age, sex and specimen storage time, evaluated 77 proteins. Eleven autoantigens had higher antibody signals among T2DM subjects with the lower insulin-secretion HLA background compared with NGR subjects with the higher insulin-secretion HLA background (p<0.05, adjusted for multiple comparisons). PPARG2 and UBE2M had lowest p-values (adjusted p = 0.023) while PPARG2 and RGS17 had highest case-to-control antibody signal ratios (1.7). A multi-protein classifier involving the 11 autoantigens had sensitivity, specificity, and area under the receiver operating characteristics curve of 0.73, 0.80, and 0.83 (95% CI 0.74–0.91, p = 3.4x10^-8), respectively. This study identified 11 novel autoantigens which were associated with T2DM and an HLA background associated with reduced insulin secretion. While further studies are needed to distinguish whether these antibodies are associated with insulin secretion via the HLA background, T2DM more broadly, or a combination of the two, this study may aid the search for autoantibody biomarkers by narrowing the list of protein targets.     

The integration of genomic and structural information in the development of high affinity plasmepsin inhibitors

The plasmepsins are key enzymes in the life cycle of the Plasmodium parasites responsible for malaria. Since plasmepsin inhibition leads to parasite death, these enzymes have been acknowledged to be important targets for the development of new antimalarial drugs. The development of effective plasmepsin inhibitors, however, is compounded by their genomic diversity which gives rise not to a unique target for drug development but to a family of closely related targets. Successful drugs will have to inhibit not one but several related enzymes with high affinity. Structure-based drug design against heterogeneous targets requires a departure from the classic 'lock-and-key' paradigm that leads to the development of conformationally constrained molecules aimed at a single target. Drug molecules designed along those principles are usually rigid and unable to adapt to target variations arising from naturally occurring genetic polymorphisms or drug-induced resistant mutations. Heterogeneous targets need adaptive drug molecules, characterised by the presence of flexible elements at specific locations that sustain a viable binding affinity against existing or expected polymorphisms. Adaptive ligands have characteristic thermodynamic signatures that distinguish them from their rigid counterparts. This realisation has led to the development of rigorous thermodynamic design guidelines that take advantage of correlations between the structure of lead compounds and the enthalpic and entropic components of the binding affinity. In this paper, we discuss the application of the thermodynamic approach to the development of high affinity (K(i) - pM) plasmepsin inhibitors. In particular, a family of allophenylnorstatine-based compounds is evaluated for their potential to inhibit a wide spectrum of plasmepsins.     

Angiotensin-converting enzyme gene polymorphisms and T2DM in a case�Ccontrol association study of the Bahraini population

Bahrain has one of the highest incidence rates of type 2 diabetes mellitus (T2DM). Development of diabetic nephropathy (DN) as a complication was noticed in some patients while absent in others. This interesting observation raises the role of certain genetic risk factors for the development of DN. Angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism was found to be associated with T2DM. While some patients have predisposition to DN in the population, others have negative association. The present case-control association study was designed to investigate the association of ACE I/D polymorphism in T2DM patients in Bahrain especially in those who developed DN. A total of 360 T2DM patients (110 with DN and 250 without DN) and 360 healthy (non-diabetic) age-matched subjects were recruited for this study for comparison. The presence (insertion)/absence (deletion) (I/D) polymorphism of a 287-bp Alu1 element inside intron 16 of the ACE gene was investigated using PCR-gel electrophoresis. The results show that the distribution of the homozygote DD genotype of the ACE gene was high among Bahraini T2DM patients compared to the healthy non-diabetic subjects. In addition, the distribution of the deletion (D) allele was high among Bahraini T2DM patients with DN when compared to the healthy non-diabetic subjects. However, there was no significant difference in the distribution of ACE I/D allele and genotypes between DN patients when compared to those T2DM patients without DN. The results obtained in this study are in closely agreement with some previous reports which show a strong association of ACE polymorphism with T2DM patients, yet not a risk factor for development of DN.     

Automated Insulin Delivery Systems as a Treatment for Type 2 Diabetes Mellitus: A Review

ObjectiveApproximately 6.3% of the worldwide population has type 2 diabetes mellitus (T2DM), and the number of people requiring insulin is increasing. Automated insulin delivery (AID) systems integrate continuous subcutaneous insulin infusion and continuous glucose monitoring with a predictive control algorithm to provide more physiologic glycemic control. Personalized glycemic targets are recommended in T2DM owing to the heterogeneity of the disease. Based on the success of hybrid closed-loop systems in improving glycemic control and safety in type 1 diabetes mellitus, there has been further interest in the use of these systems in people with T2DM.MethodsWe performed a review of AID systems with a focus on the T2DM population.ResultsIn 5 randomized controlled trials, AID systems improve time in range and reduce glycemic variability, without increasing insulin requirements or the risk of hypoglycemia.ConclusionAID systems in T2DM are safe and effective in hospitalized and closely monitored settings. Home studies of longer duration are required to assess for long-term benefit and identify target populations of benefit.