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@#Objective To investigate the changes in the levels of serum miR-1976 and growth differentiation factor 15(GDF-15) in patients with Parkinson disease(PD) and their relationships with postural and gait abnormalities. Methods We included 76 patients with PD(PD group) and 53 healthy participants from health examination(control group) in our hospital from March 2020 to October 2022.Serum miR-1976 and GDF-15 levels were measured for all the subjects. The expression of serum miR-1976 and GDF-15 was compared between PD patients with different motor subtypes. A receiver operating characteristic(ROC) curve was used to analyze the value of miR-1976 combined with GDF-15 in predicting PD with the type of abnormal posture and gait. Results Serum miR-1976 and GDF-15 levels in the PD group were significantly higher than those in the control group(both P<0.05). Spearman correlation analysis showed that the severity of PD was positively correlated with serum miR-1976 and GDF-15 levels(both P<0.05). Logistic regression analysis showed that high expression of serum miR-1976 and GDF-15 was related to posture/gait abnormality type in patients with PD(both P<0.05). The ROC curve showed that the area under the curve for miR-1976 plus GDF-15 was 0.907,which was largest,with sensitivity of 92.50% and specificity of 77.78%. Conclusion Serum miR-1976 and GDF-15 levels were increased in patients with PD,positively reflecting the severity of the disease. In addition,the patients with posture/gait abnormality type had higher serum miR-1976 and GDF-15 levels than those with tremor type. Combined detection can effectively predict PD with posture/gait abnormality type,which can improve the diagnostic accuracy and facilitate early clinical prevention and treatment.
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Objective:To investigate the predictive value of circulating miR-143 and miR-182 for the short-term clinical outcomes in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to Danzhou People's Hospital from January 2018 to June 2020 were included prospectively. The modified Rankin Scale was used to evaluate the short-term clinical outcome at 14 d after onset or at discharge. 0-2 was defined as good outcome, and >2 was defined as poor outcome. Multivariate logistic regression analysis was used to identify the independent risk factors for poor short-term clinical outcomes in patients with AIS. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of miR-143 and miR-182 for the short-term clinical outcomes in patients with AIS. Results:A total of 158 patients with AIS, aged 65.80±12.36 years, were enrolled, including 105 males (66.46%), 95 patients with good outcome (60.1%) and 63 with poor outcome (39.9%). The age, total cholesterol, triglyceride, low-density lipoprotein cholesterol, baseline National Institutes of Health Stroke Scale (NIHSS) score, serum miR-143 and miR-182 level in the poor outcome group were significantly higher than those in the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that age (odds ratio [ OR] 1.984, 95% confidence interval [ CI] 1.315-3.617; P=0.036), low-density lipoprotein cholesterol ( OR 2.108, 95% CI 1.406-4.103; P=0.013), baseline NIHSS score ( OR 2.584, 95% CI 1.675-4.505; P=0.005), miR-143 ( OR 3.205, 95% CI 2.370-6.180; P<0.001) and miR-182 ( OR 2.802, 95% CI 1.905-5.516; P<0.001) were the independent risk factors for poor outcomes in patients with AIS. ROC curve analysis showed that the combined area under the curve of miR-143 and miR-182 to predict the poor outcome in patients with AIS was 0.935 (95% CI 0.873-0.992), the sensitivity and specificity were 96.5% and 87.0% respectively. Conclusions:The increase of serum miR-143 and miR-182 was closely associated with the poor short-term outcomes in patients with AIS. The combination of the two has a good predictive value for the poor short-term outcomes in patients with AIS.
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Objective:To investigate the predicting value of serum miR-195 and miR-599 for the outcome of patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to Danzhou People's Hospital from January 2018 to July 2020 were enrolled prospectively. The modified Rankin Scale was used to evaluate the outcome of patients at 14 d after onset or when they were discharged from the hospital. A score of 0-2 was defined as a good outcome and a score of >2 were defined as a poor outcome. Multivariate logistic regression analysis was used to determine the independent risk factors for poor outcome of patients with AIS. Receiver operating characteristic (ROC) curve analysis was used to determine the predictive value of serum miR-195 and miR-599 for the poor outcome of patients with AIS. Results:A total of 158 patients with AIS were enrolled. Their age was (65.80±12.36) years old, 105 were males (66.46); 95 patients (60.1%) had a good outcome, and 63 patients (39.9%) had a poor outcome. The age, total cholesterol, triglycerides, low-density lipoprotein cholesterol, baseline National Institutes of Health Stroke Scale (NIHSS) score, serum miR-195 and miR-599 levels in the poor outcome group were significantly higher than those of the good outcome group ( P<0.05). Multivariate logistic regression analysis showed that age (odds ratio [ OR] 1.984, 95% confidence interval [ CI] 1.315-3.617; P=0.036), low-density lipoprotein cholesterol ( OR 2.108, 95% CI 1.406-4.103; P=0.013), baseline NIHSS score ( OR 2.584, 95% CI 1.675-4.505; P=0.005), serum miR-195 ( OR 3.927, 95% CI 2.615-8.227; P<0.001) and miR-599 ( OR 2.952, 95% CI 1.973-6.114; P<0.001) were the independent risk factors for the poor outcome of patients with AIS. ROC curve analysis showed that the area under the curve (0.938, 95% CI 0.882-0.997) of serum miR-195 combined with miR-599 for predicting poor outcome was significantly higher than that predicted alone, and its predictive sensitivity and specificity were 97.0% and 87.4% respectively. Conclusions:The higher levels of serum miR-195 and miR-599 are associated with the poor outcome of patients with AIS. The combination of the both had good predictive value for the poor outcome of patients with AIS.
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Objective:To investigate the expressions of serum microRNA-24 (miR-24) and microRNA-29b (miR-29b) in elderly patients with acute ischemic stroke (AIS) and their neural function prognostic value.Methods:A prospective study was conducted. 170 elderly patients with AIS admitted to department of neurology of Danzhou People's Hospital from January 1st, 2017 to March 31st, 2019 were enrolled. According to modified Rankin scale (mRS) score, the patients were divided into good neural function prognosis group (mRS score ≤ 2, n = 105) and poor neural function prognosis group (mRS score > 2, n = 65). According to National Institutes of Health stroke scale (NIHSS) score, the patients were divided into mild group (NIHSS score < 5, n = 50), moderate group (NIHSS score 5-20, n = 76) and severe group (NIHSS score > 20, n = 44). Sixty-five healthy volunteers in the same period were enrolled as the control group. The expressions of serum miR-24 and miR-29b were determined by real-time fluorescent quantitative reverse transcription-polymerase chain reaction (RT-qPCR). Receiver operating characteristic (ROC) curve was plotted to analyze the value of serum expressions of miR-24 and miR-29b for predicting the poor neural function prognosis of elderly patients with AIS. Pearson correlation was used to analyze the correlation between the expressions of serum miR-24, miR-29b and NIHSS, mRS scores in elderly patients with AIS. Results:The expressions of serum miR-24 and miR-29b in the AIS group were significantly lower than those in the healthy control group [miR-24 (2 -ΔΔCt): 0.64±0.17 vs. 2.18±0.85, miR-29b (2 -ΔΔCt): 0.72±0.21 vs. 3.05±0.96, both P < 0.01]. The expressions of serum miR-24 and miR-29b in the poor neural function prognosis group were significantly lower than those in the good neural function prognosis group [miR-24 (2 -ΔΔCt): 0.20±0.05 vs. 1.16±0.48, miR-29b (2 -ΔΔCt): 0.18±0.03 vs. 1.41±0.56, both P < 0.01]. The expressions of serum miR-24 and miR-29b in the severe group were significantly lower than those in the mild and moderate groups [miR-24 (2 -ΔΔCt): 0.13±0.02 vs. 1.30±0.51, 0.56±0.14; miR-29b (2 -ΔΔCt): 0.09±0.01 vs. 1.52±0.60, 0.62±0.13; all P < 0.01], and they were significantly lower in the moderate group than those in the mild group (all P < 0.01). ROC curve analysis showed that the optimal cut-off values of serum miR-24 and miR-29b expressions for predicting poor neural function prognosis in elderly AIS patients were 0.53 and 0.48, respectively. The area under ROC curve (AUC) of the two combined prognoses was 0.920 [95% confidence interval (95% CI) was 0.861-0.982], and it was significantly higher than that of miR-24 (AUC was 0.802, 95% CI was 0.742-0.860) or miR-29b (AUC was 0.835, 95% CI was 0.778-0.890) alone ( Z values were 6.513 and 4.902, respectively, both P < 0.05), with sensitivity and specificity of 92.0% and 85.7%. Pearson correlation analysis showed that the expressions of serum miR-24 and miR-29b were negatively correlated with NIHSS score ( r values were -0.758 and -0.794, respectively) and mRS score ( r values were -0.817 and -0.860, respectively) in elderly AIS patients (all P < 0.01). Conclusion:The down-regulated expressions of serum miR-24 and miR-29b are correlated with the severity degree of neurological impairment and neural function prognosis of elderly AIS patients, and the two combined have certain value for predicting the neural function prognosis of elderly AIS patients.