Objective:To investigate whether systemic immune inflammation index(SII)-C-reactive protein/albumin(CRP/Alb)can predict postoperative survival in non-small cell lung cancer(NSCLC)patients.Methods:A total of 262 patients with NSCLC who underwent surgery in Hebei Provincial People's Hospital from January 2017 to November 2020 were included.SII and CRP/Alb expressions in patients after surgery were analyzed by K-M survival curve analysis,Cox multivariate risk regression analysis and ROC curve analysis.Results:Patients with high SII expression(>961.78)and high CRP/Alb expression(>0.025)had worse outcomes than patients with low SII and CRP/Alb expressions,respectively(P<0.001).SII-CRP/Alb score(P=0.032),age≥60 years(P=0.038)and T stage T2～T3(P<0.001)were significantly associated with shorter overall survival.AUC of SII-CRP/Alb scores were larger than SII and CRP/Alb scores,respectively.Conclusion:SII-CRP/Alb score can effectively evaluate postoperative survival status of patients with NSCLC,and SII-CRP/Alb score are independent predictors of postoperative overall survival in NSCLC patients.

Objective:To investigate whether systemic immune inflammation index(SII)-C-reactive protein/albumin(CRP/Alb)can predict postoperative survival in non-small cell lung cancer(NSCLC)patients.Methods:A total of 262 patients with NSCLC who underwent surgery in Hebei Provincial People's Hospital from January 2017 to November 2020 were included.SII and CRP/Alb expressions in patients after surgery were analyzed by K-M survival curve analysis,Cox multivariate risk regression analysis and ROC curve analysis.Results:Patients with high SII expression(>961.78)and high CRP/Alb expression(>0.025)had worse outcomes than patients with low SII and CRP/Alb expressions,respectively(P<0.001).SII-CRP/Alb score(P=0.032),age≥60 years(P=0.038)and T stage T2～T3(P<0.001)were significantly associated with shorter overall survival.AUC of SII-CRP/Alb scores were larger than SII and CRP/Alb scores,respectively.Conclusion:SII-CRP/Alb score can effectively evaluate postoperative survival status of patients with NSCLC,and SII-CRP/Alb score are independent predictors of postoperative overall survival in NSCLC patients.

Objective Cheng's Juanbi Decoction(CSJBD)is a classic traditional Chinese medicine formula for treating rheumatoid arthritis(RA),exhibiting significant clinical efficacy,but the underlying mechanisms remain unclear.We investigated whether CSJBD inhibited RA pathology by blocking the WTAP-Wnt7b-Wnt/β-catenin signaling axis using a collagen-induced arthritis(CIA)mouse model and fibroblast-like synoviocytes(FLSs)derived from RA patients(RA FLSs)and examined the underlying mechanisms.Methods We conducted in vivo experiments.Male C57BL/6 mice weighing 17 to 20 g were used to establish the CIA model.The mice were assigned to 6 groups,including the normal group,the model(CIA)group,the model+CSJBD-L(8.1 g/kg)group,the model+CSJBD-M(16.2 g/kg)group,the model+CSJBD-H(32.4 g/kg)group,and the model+leflunomide(LEF)(0.05 mg/10 g)group,with 10 mice in each group.CSJBD was administered twice daily via gastric gavage,while LEF was administered once daily via gastric gavage,for a duration of 28 days.We also conducted in vitro experiments.RA FLSs were assigned to 4 groups,including the RA FLSs+CSJBDS-L group receiving 10%CSJBDS-containing serum,the RA FLSs+CSJBDS-M group receiving 15%CSJBDS-containing serum,the RA FLSs+CSJBDS-H group receiving 20%CSJBDS-containing serum,and the RA FLSs+NC group(negative control).To study whether WTAP regulated Wnt7b,RA FLSs were divided into the RA FLSs group,the RA FLSs+si-WTAP#3 group,the RA FLSs+si-WTAP#3+Wnt7b-OE group,and the RA FLSs+si-WTAP#3+Wnt7b-NC group.To study the underlying mechanism by which CSJBT affected RA FLSs,RA FLSs were divided into the RA FLSs group,the RA FLSs+CSJBDS-M group,the RA FLSs+CSJBDS-M+Wnt7b-OE group,and the RA FLSs+CSJBDS-M+NC group.We used ultra-high performance liquid chromatography(UPLC)to identify and quantify key monomer compounds from CSJBD as quality criteria for CSJBD preparation.Bioinformatics,CCK-8,RT-qPCR,Western blot,immunofluorescence,and related methods were employed to assess the therapeutic efficacy and underlying mechanisms of CSJBD in treating RA.Results According to the UPLC analysis,ferulic acid,osthole,mulberroside A,notopterol,and gentiopicroside were identified as quality control standards for the preparation of CSJBD formula.CSJBD improved RA pathology in CIA mice,reduced the levels of interleukin(IL)-6,IL-1β,IL-8,and tumor necrosis factor-α(TNF-α)in their serum,and decreased the expression of RA pathological genes MMP3 and fibronectin,with the difference between groups being statistically significant.Bioinformatics analysis suggested that CSJBD might inhibit RA pathology by suppressing the Wnt/β-catenin signaling pathway through Wnt7b.Experimental results showed that the expression of WTAP and Wnt7b was significantly increased in RA.After knocking down WTAP,the expression of Wnt7b was significantly reduced,and the Wnt/β-catenin signaling pathway was also inhibited,with the difference between groups being statistically significant(P<0.05),confirming that WTAP regulated the pathway via Wnt7b.According to experimental verification,CSJBD significantly inhibited the Wnt/β-catenin signaling pathway and the proliferation of RA FLSs.Wnt7b overexpression reversed the inhibitory effect of CSJBD on the Wnt/β-catenin signaling pathway and the proliferation of RA FLSs,indicating that Wnt7b is the direct target of CSJBD.Conclusion CSJBD inhibits RA pathology by blocking the WTAP-Wnt7b-Wnt/β-catenin signaling axis,with Wnt7b identified as a direct therapeutic target of CSJBD.

Objective:To investigate the efficacy and safety of acute stent implantation during endovascular treatment for patients with emergent large vessel occlusion due to intracranial atherosclerotic stenosis.Methods:A retrospective analysis was carried out on 46 patients with emergent large vessel occlusion due to intracranial atherosclerotic stenosis who received endovascular treatment at the Strategic Support Force Medical Center from January 2015 to August 2022. Twenty-seven patients underwent balloon angioplasty alone and 19 patients underwent acute stent implantation. The baseline characteristics, modified thrombolysis in cerebral infarction (mTICI) score of the responsible vessels, modified Rankin scale (mRS) score 90 days after operation, incidence of symptomatic intracranial hemorrhage and mortality of the two groups were evaluated.Results:The proportion of effective recanalization of the offending vessels (mTICI≥2b) in the acute stenting group was slightly higher than that in the balloon angioplasty group (16/19 vs. 81.5%), but the difference was not statistically significant ( P>0.05). Besides, there was no significant difference in the median of mRS between the acute stenting group [3.0(0, 4.0)] and the balloon angioplasty group [4.0(1.0, 5.0)] 90 days after operation ( P>0.05). In terms of safety, the incidence of symptomatic intracranial hemorrhage and mortality were comparable between the two groups ( P>0.05). Conclusions:The effect of acute stent implantation during endovascular treatment for patients with emergent large vessel occlusion due to intracranial atherosclerotic stenosis is not inferior to that of balloon angioplasty, and it does not increase the risk of intracranial bleeding complications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Traditional medications used for treating autoimmune diseases often come with a wide range of adverse effects. Current treatments focus mainly on symptom management, resulting in significant health issues and financial burdens for patients. Recently, clinical research has demonstrated the potential of helminths and their derivatives as effective therapies for autoimmune disorders. Helminths, being a near-natural immunomodulator, exhibit milder effects than broad-spectrum immunosuppressants and corticosteroids, thereby presenting a promising alternative for the treatment of autoimmune diseases. However, different helminths' therapeutic efficacy and mechanisms and their derivatives in treating autoimmune diseases may vary. Therefore, we aim to review recent clinical advancements in the use of helminths and their derivatives for treating inflammatory bowel disease, multiple sclerosis, and autism spectrum disorder, with a view to offering novel clinical treatment approaches.
Animals ; Humans ; Autism Spectrum Disorder ; Autoimmune Diseases/drug therapy* ; Helminths ; Inflammatory Bowel Diseases