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Accelerated wound healing in diabetic mice by miRNA-497 and its anti-inflammatory activity.

MiRNA-497 促进糖尿病小鼠创面愈合及其抗炎活性

  • 影响因子:3.78
  • DOI:10.1016/j.biopha.2019.109613
  • 作者列表:"Ban E","Jeong S","Park M","Kwon H","Park J","Song EJ","Kim A
  • 发表时间:2020-01-01

:Diabetic foot ulcers represent one of the major and rising health issues, as the number of diabetic patients is increasing. MicroRNAs (miRNAs) are among various bioactive molecules under investigation for diabetic wound healing. The prolonged pro-inflammatory phase in diabetic wounds partly attributes to its non-healing nature. Therefore, we hypothesized that miRNA-497, known for its regulation of inflammatory responses, would enhance diabetic wound healing. We screened miRNA candidates, including miRNA-497 in the wounded skin of streptozotocin-induced type 1 diabetic mice. The therapeutic potential of miRNA-497 mimic was studied by intradermal injection around the wound in diabetic mice. In addition, the effects of miRNA-497 on pro-inflammatory cytokines were analyzed in the wound lesion of diabetic mice, and in human dermal fibroblasts cells exposed to high glucose and lipopolysaccharide.We found a significant reduction of miRNA-497 expression in the dermal wounds of the diabetic mice relative to normal mice. Intradermal injection of miRNA-497 around the full-thickness dermal wounds in diabetic mice accelerated wound closure effectively compared to the control miRNA. miRNA-497 treatment in vivo and in vitro decreased representative pro-inflammatory cytokines such as IL-1β, IL-6, and TNF-α. Such anti-inflammatory effects of miRNA-497 shed light on its role in accelerating diabetic wound healing. In conclusion, miRNA-497, with its down-regulation activity for pro-inflammatory cytokines, is proposed as a potential therapeutic agent for diabetic wound healing.


: 随着糖尿病患者数量的增加,糖尿病足溃疡代表了主要和不断上升的健康问题之一。MicroRNAs (miRNAs) 是糖尿病伤口愈合研究中的各种生物活性分子。糖尿病伤口的促炎期延长部分归因于其不愈合性质。因此,我们假设以调节炎症反应而闻名的 miRNA-497 会促进糖尿病伤口愈合。我们筛选了 miRNA 候选者,包括链脲佐菌素诱导的 1 型糖尿病小鼠受伤皮肤中的 miRNA-497。通过在糖尿病小鼠伤口周围进行皮内注射,研究了 miRNA-497 模拟物的治疗潜力。此外,在糖尿病小鼠的伤口损伤中,以及在高糖和脂多糖暴露的人真皮成纤维细胞中,分析了 miRNA-497 对促炎细胞因子的影响。我们发现与正常小鼠相比,糖尿病小鼠真皮伤口中 miRNA-497 的表达显著减少。与对照 miRNA 相比,糖尿病小鼠全层真皮伤口周围皮内注射 miRNA-497 可有效加速伤口闭合。 miRNA-497 体内和体外治疗可降低典型的促炎细胞因子,如 il-1 β 、 IL-6 和 TNF-α。MiRNA-497 的抗炎作用揭示了其在加速糖尿病伤口愈合中的作用。总之,miRNA-497 以其对促炎细胞因子的下调活性,被认为是一种潜在的糖尿病伤口愈合治疗剂。



来源期刊:Acta Diabetologica
作者列表:["Benhalima, Katrien","Crombrugge, Paul","Moyson, Carolien","Verhaeghe, Johan","Vandeginste, Sofie","Verlaenen, Hilde","Vercammen, Chris","Maes, Toon","Dufraimont, Els","Block, Christophe","Jacquemyn, Yves","Mekahli, Farah","Clippel, Katrien","Den Bruel, Annick","Loccufier, Anne","Laenen, Annouschka","Minschart, Caro","Devlieger, Roland","Mathieu, Chantal"]

METHODS:Aims We aimed to develop a prediction model based on clinical and biochemical variables for gestational diabetes mellitus (GDM) based on the 2013 World Health Organization (WHO) criteria. Methods A total of 1843 women from a Belgian multi-centric prospective cohort study underwent universal screening for GDM. Using multivariable logistic regression analysis, a model to predict GDM was developed based on variables from early pregnancy. The performance of the model was assessed by receiver-operating characteristic (AUC) analysis. To account for over-optimism, an eightfold cross-validation was performed. The accuracy was compared with two validated models (van Leeuwen and Teede). Results A history with a first degree relative with diabetes, a history of smoking before pregnancy, a history of GDM, Asian origin, age, height and BMI were independent predictors for GDM with an AUC of 0.72 [95% confidence interval (CI) 0.69–0.76)]; after cross-validation, the AUC was 0.68 (95% CI 0.64–0.72). Adding biochemical variables, a history of a first degree relative with diabetes, a history of GDM, non-Caucasian origin, age, height, weight, fasting plasma glucose, triglycerides and HbA_1c were independent predictors for GDM, with an AUC of the model of 0.76 (95% CI 0.72–0.79); after cross-validation, the AUC was 0.72 (95% CI 0.66–0.78), compared to an AUC of 0.67 (95% CI 0.63–0.71) using the van Leeuwen model and an AUC of 0.66 (95% CI 0.62–0.70) using the Teede model. Conclusions A model based on easy to use variables in early pregnancy has a moderate accuracy to predict GDM based on the 2013 WHO criteria.

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来源期刊:Nature Medicine
作者列表:["Artzi, Nitzan Shalom","Shilo, Smadar","Hadar, Eran","Rossman, Hagai","Barbash-Hazan, Shiri","Ben-Haroush, Avi","Balicer, Ran D.","Feldman, Becca","Wiznitzer, Arnon","Segal, Eran"]

METHODS:Leveraging the availability of nationwide electronic health records from over 500,000 pregnancies in Israel, a machine-learning approach offers an alternative means of predicting gestational diabetes at high accuracy in the early stages of pregnancy. Gestational diabetes mellitus (GDM) poses increased risk of short- and long-term complications for mother and offspring^ 1 – 4 . GDM is typically diagnosed at 24–28 weeks of gestation, but earlier detection is desirable as this may prevent or considerably reduce the risk of adverse pregnancy outcomes^ 5 , 6 . Here we used a machine-learning approach to predict GDM on retrospective data of 588,622 pregnancies in Israel for which comprehensive electronic health records were available. Our models predict GDM with high accuracy even at pregnancy initiation (area under the receiver operating curve (auROC) = 0.85), substantially outperforming a baseline risk score (auROC = 0.68). We validated our results on both a future validation set and a geographical validation set from the most populated city in Israel, Jerusalem, thereby emulating real-world performance. Interrogating our model, we uncovered previously unreported risk factors, including results of previous pregnancy glucose challenge tests. Finally, we devised a simpler model based on just nine questions that a patient could answer, with only a modest reduction in accuracy (auROC = 0.80). Overall, our models may allow early-stage intervention in high-risk women, as well as a cost-effective screening approach that could avoid the need for glucose tolerance tests by identifying low-risk women. Future prospective studies and studies on additional populations are needed to assess the real-world clinical utility of the model.

关键词: 暂无
翻译标题与摘要 下载文献
作者列表:["Lowes DJ","Hevener KE","Peters BM"]

METHODS::Repurposing of currently approved medications is an attractive option for the development of novel treatment strategies against physiological and infectious diseases. The antidiabetic sulfonylurea glyburide has demonstrated off-target capacity to inhibit activation of the NLRP3 inflammasome in a variety of disease models, including vaginal candidiasis, caused primarily by the fungal pathogen Candida albicans Therefore, we sought to determine which of the currently approved sulfonylurea drugs prevent the release of interleukin 1β (IL-1β), a major inflammasome effector, during C. albicans challenge of the human macrophage-like THP1 cell line. Findings revealed that the second-generation antidiabetics (glyburide, glisoxepide, gliquidone, and glimepiride), which exhibit greater antidiabetic efficacy than prior iterations, demonstrated anti-inflammatory effects with various degrees of potency as determined by calculation of 50% inhibitory concentrations (IC50s). These same compounds were also effective in reducing IL-1β release during noninfectious inflammasome activation (e.g., induced by lipopolysaccharide [LPS] plus ATP), suggesting that their anti-inflammatory activity is not specific to C. albicans challenge. Moreover, treatment with sulfonylurea drugs did not impact C. albicans growth and filamentation or THP1 viability. Finally, the use of ECE1 and Candidalysin deletion mutants, along with isogenic NLRP3-/- cells, demonstrated that both Candidalysin and NLRP3 are required for IL-1β secretion, further confirming that sulfonylureas suppress inflammasome signaling. Moreover, challenge of THP1 cells with synthetic Candidalysin peptide demonstrated that this toxin is sufficient to activate the inflammasome. Treatment with the experimental inflammasome inhibitor MCC950 led to similar blockade of IL-1β release, suggesting that Candidalysin-mediated inflammasome activation can be inhibited independently of potassium efflux. Together, these results demonstrate that the second-generation antidiabetic sulfonylureas retain anti-inflammatory activity and may be considered for repurposing against immunopathological diseases, including vaginal candidiasis.