Résumé
Meta-analysis and integrative bioinformatics were employed to comprehensively study the efficacy, safety, and mechanism of Huangkui Capsules in treating chronic kidney disease(CKD). CNKI, Wanfang, VIP, SinoMed, Cochrane Library, PubMed, EMbase, and Web of Science were searched for randomized controlled trial(RCT) of Huangkui Capsules for CKD from inception to January 3, 2023. The outcome indicators included urine protein, serum creatinine(Scr), and blood urea nitrogen(BUN) levels, and Cochrane Handbook 5.1 and RevMan 5.3 were employed to perform the Meta-analysis of the included RCT. The active ingredients of Huangkui Capsules were retrieved from CNKI, and the targets of CKD from GeneCards, OMIM, and TTD. Cytoscape 3.8.0 was used to build a "component-disease" network and a protein-protein interaction(PPI) network for the screening of core components and targets. Next, a differential analysis of the core targets of Huangkui Capsules for treating CKD was conducted with the clinical samples from GEO to identify the differentially expressed core targets, and correlation analysis and immune cell infiltration analysis were then performed for these targets. A total of 13 RCTs were included for the Meta-analysis, involving 2 372 patients(1 185 in the observation group and 1 187 in the control group). Meta-analysis showed that the Huangkui Capsules group and the losartan potassium group had no significant differences in reducing the urinary protein levels after 12(MD=19.60, 95%CI[-58.66, 97.86], P=0.62) and 24 weeks(MD=-66.00, 95%CI[-264.10, 132.11], P=0.51) of treatment. Huangkui Capsules in combination with conventional treatment was superior to conventional treatment alone(MD=-0.55, 95%CI[-0.86,-0.23], P=0.000 6). Huangkui Capsules combined with conventional treatment was superior to conventional treatment alone in recovering Scr(MD=-9.21, 95%CI[-15.85,-2.58], P=0.006) and BUN(MD=-1.02, 95%CI[-1.83,-0.21], P=0.01). Five patients showed clear adverse reactions, with abdominal or gastrointestinal discomfort. Huangkui Capsules had 43 active ingredients and 393 targets, and the core ingredients were myricetin, quercetin, gossypin, elaidic acid, dihydromyricetin, isochlorogenic acid B, and caffeic acid. CKD and Huangkui Capsules shared 247 common targets, including 25 core targets. The GEO differential analysis predicted 18 differentially expressed core targets, which were mainly positively correlated with immune cell expression and involved in immune inflammation, oxidative stress, pyroptosis, lipid metabolism, sex hormone metabolism, and cell repair. Conclusively, Huangkui Capsules combined with conventional treatment significantly reduced urine protein, Scr, and BUN. Huangkui Capsules alone and losartan potassium had no significant difference in reducing urine protein. This efficacy of Huangkui Capsules may be associated with the multi-component, multi-target, and multi-pathway responses to immune inflammation and oxidative stress. The included RCT had small sample sizes and general quality. More clinical trial protocols with large sample sizes and rigorous design and in line with international norms are needed to improve the evidence quality, and the results of bioinformatics analysis remain to be confirmed by further studies.
Sujets)
Humains , Losartan , Insuffisance rénale chronique/traitement médicamenteux , Médicaments issus de plantes chinoises/effets indésirables , Capsules , Inflammation/traitement médicamenteuxRésumé
Objective To study the relationship between the severity of pedestrian head injury and the impact speeds, the vehicle types and the impact positions in pedestrian-vehicle accidents by computer simulation based on the real accident video. Methods A pedestrian-traffic accident with the video was reconstructed by the MADYMO multi-body dynamics software to obtain the initial and boundary conditions. Experimental impact simulations were conducted on different vehicles (car, SUV and minibus) and pedestrian impact positions (front, side and back structure) by different speeds (20, 30, 40, 50 and 60 km/h) to analyze head injuries, and the simulation results were validated by two real pedestrian-vehicle accidents. Results Not only the impact speed and the front structure influenced the pedestrian head injury severity, but also the impact position of pedestrian was an important factor. At the collision speed ≤30 km/h, the pedestrian head injury caused by the contact with the ground could be possibly more serious than the contact with the vehicle; while at the collision speed≥40 km/h, the pedestrian head injury was mainly caused by the contact with the vehicle. Conclusions The pedestrian traffic accident can be accurately reconstructed by using the real accident video to analyze the pedestrian head dynamic response. The severity of pedestrian head injuries can be effectively reduced by speed limitations on different types of vehicles at pedestrian traffic accident black-spots.