Objective To investigate the predictive value of pan-immune-inflammation value(PIV),blood urea nitrogen to albumin ratio(BAR),collateral circulation and National Institutes of Health stroke scale(NIHSS)score for disease progression and short-term prognosis in patients with acute perforating artery cerebral infarction(APACI).Methods Patients with APACI admitted to the Neurology Department of Anhui NO.2 Provincial People's Hospital from January 2019 to October 2024 were retrospectively enrolled in this study.General and clinical data,including age,gender,previous history(hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,drinking history,NIHSS scores at admission were collected.Fasting venous blood samples were collected from the patients within 24 h after admission to detect levels of neutrophils,lymphocytes,monocytes,platelets,blood urea nitrogen,and serum albumin.PIV(PIV=neutrophils × platelets × monocytes/lymphocytes)and BAR were calculated.The location of lesions and Fazekas classification of white matter lesions were evaluated using head MRI and MR angiography at admission.Collateral circulation status was assessed based on CT angiography upon admission.Disease progression was defined through comparing the NIHSS score at 72-hour after admission to the score at admission(an increase of 2 or more points in NIHSS score indicating disease progression).The patients were divided into a progression group and a non-progression group based on the increase in NIHSS score,as aforementioned.Patients follow-up was conducted through phone call or outpatient visits at 90 d after discharge.The modified Rankin scale(mRS)was used to evaluate the prognosis,with a mRS score of 0-2 indicates good prognosis,and a 3-6 indicates poor prognosis.Factors with statistically significant differences in univariate analysis were included in a multivariate Logistic regression analysis to explore the influencing factors of disease progression and poor prognosis in patients with APACI.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of each indicator for disease progression and poor prognosis in patients with APACI.Results A total of 165 patients with APACI were enrolled in this study,including 121 males and 44 females,aged 27-86 years,with an average of(61±11)years.Among all patients enrolled,56 patients were included in the progression group and 109 patients in the non-progression group,124 patients showed good prognosis and 41 patients had poor prognosis.No statistically significant differences were found in age,gender,smoking history,drinking history,hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and Fazekas classification of white matter lesions between the progression group and the non-progression group(all P＞0.05).While the NIHSS score at admission,proportion of poor collateral circulation,PIV and BAR in the progression group were significantly higher than those in the non-progression group(all P＜0.05).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.177,95％CI 1.001-1.384,P=0.049),poor collateral circulation(OR,3.107,95％CI 1.216-7.939,P=0.018),high PIV(OR,1.006,95％CI 1.003-1.009,P=0.001),and high BAR(OR,1.610 × 109,95％CI 5.769 × 104-4.494 × 1013,P＜0.01)were independent risk factors of disease progression in patients with APACI.ROC curve analysis results showed that the area under the curve(AUC)of combination of PIV,BAR,collateral circulation and NIHSS score at admission for predicting disease progression in patients with APACI was 0.914(95％ CI0.861-0.952,P＜0.01),which was greater than that of each indicator(all P＜0.05).No statistically significant differences were found in smoking,drinking,hypertension,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and BAR between the poor prognosis and the good prognosis group(all P＞0.05).Compared with the good prognosis group,the poor prognosis group had significantly older age and higher proportion of patients with diabetes,NIHSS score at admission,proportion of patients with poor collateral circulation,and PIV(all P＜0.05).Moreover,the proportion of men in the poor prognosis group was lower than that in the good prognosis group(P=0.039).There was a statistically significant difference between the good prognosis group and the poor prognosis group in the Fazekas classification of white matter lesions(P＜0.01).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.345,95％CI 1.081-1.674,P=0.008),poor collateral circulation(OR,3.903,95％CI 1.061-14.355,P=0.040),and high PIV(OR,1.011,95％CI 1.005-1.017,P＜0.01)were independent risk factors of poor prognosis in patients with APACI.The AUC for predicting poor prognosis in patients with APACI through combining PIV,collateral circulation and NIHSS score at admission was 0.911(95％CI 0.857-0.950,P＜0.01),which is greater than using poor collateral circulation or NIHSS score at admission alone(both P＜0.05).However,there was no statistically significant difference in AUC between the PIV,collateral circulation and NIHSS score combined predictive model and the PIV(alone)predictive model(P＞0.05).Conclusions High PIV,high BAR,poor collateral circulation,and high NIHSS score at admission were independent risk factors of disease progression in patients with APACI.Combination of these four indices demonstrates relatively high predictive value for disease progression.In addition,high PIV,poor collateral circulation,and high NIHSS score at admission are independent risk factors of poor prognosis in patients with APACI.Joint detection of the three indices may assist in short-term prognosis evaluation of patients with APACI.

Traditional Chinese medicine(TCM)serves as a treasure trove of ancient knowledge,holding a crucial position in the medical field.However,the exploration of TCM's extensive information has been hindered by challenges related to data standardization,completeness,and accuracy,primarily due to the decen-tralized distribution of TCM resources.To address these issues,we developed a platform for TCM knowledge discovery(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/).Seven types of data,including syndromes,formulas,Chinese patent drugs(CPDs),Chinese medicinal materials(CMMs),ingredients,targets,and diseases,were manually proofread and consolidated within TCMKD.To strengthen the integration of TCM with modern medicine,TCMKD employs analytical methods such as TCM data mining,enrichment analysis,and network localization and separation.These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights.In addition to its analytical capabilities,a quick question and answer(Q&A)system is also embedded within TCMKD to query the database efficiently,thereby improving the interactivity of the platform.The platform also provides a TCM text annotation tool,offering a simple and efficient method for TCM text mining.Overall,TCMKD not only has the potential to become a pivotal repository for TCM,delving into the pharmaco-logical foundations of TCM treatments,but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems,extending beyond just TCM.

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

Objective To investigate the predictive value of pan-immune-inflammation value(PIV),blood urea nitrogen to albumin ratio(BAR),collateral circulation and National Institutes of Health stroke scale(NIHSS)score for disease progression and short-term prognosis in patients with acute perforating artery cerebral infarction(APACI).Methods Patients with APACI admitted to the Neurology Department of Anhui NO.2 Provincial People's Hospital from January 2019 to October 2024 were retrospectively enrolled in this study.General and clinical data,including age,gender,previous history(hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,drinking history,NIHSS scores at admission were collected.Fasting venous blood samples were collected from the patients within 24 h after admission to detect levels of neutrophils,lymphocytes,monocytes,platelets,blood urea nitrogen,and serum albumin.PIV(PIV=neutrophils × platelets × monocytes/lymphocytes)and BAR were calculated.The location of lesions and Fazekas classification of white matter lesions were evaluated using head MRI and MR angiography at admission.Collateral circulation status was assessed based on CT angiography upon admission.Disease progression was defined through comparing the NIHSS score at 72-hour after admission to the score at admission(an increase of 2 or more points in NIHSS score indicating disease progression).The patients were divided into a progression group and a non-progression group based on the increase in NIHSS score,as aforementioned.Patients follow-up was conducted through phone call or outpatient visits at 90 d after discharge.The modified Rankin scale(mRS)was used to evaluate the prognosis,with a mRS score of 0-2 indicates good prognosis,and a 3-6 indicates poor prognosis.Factors with statistically significant differences in univariate analysis were included in a multivariate Logistic regression analysis to explore the influencing factors of disease progression and poor prognosis in patients with APACI.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of each indicator for disease progression and poor prognosis in patients with APACI.Results A total of 165 patients with APACI were enrolled in this study,including 121 males and 44 females,aged 27-86 years,with an average of(61±11)years.Among all patients enrolled,56 patients were included in the progression group and 109 patients in the non-progression group,124 patients showed good prognosis and 41 patients had poor prognosis.No statistically significant differences were found in age,gender,smoking history,drinking history,hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and Fazekas classification of white matter lesions between the progression group and the non-progression group(all P＞0.05).While the NIHSS score at admission,proportion of poor collateral circulation,PIV and BAR in the progression group were significantly higher than those in the non-progression group(all P＜0.05).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.177,95％CI 1.001-1.384,P=0.049),poor collateral circulation(OR,3.107,95％CI 1.216-7.939,P=0.018),high PIV(OR,1.006,95％CI 1.003-1.009,P=0.001),and high BAR(OR,1.610 × 109,95％CI 5.769 × 104-4.494 × 1013,P＜0.01)were independent risk factors of disease progression in patients with APACI.ROC curve analysis results showed that the area under the curve(AUC)of combination of PIV,BAR,collateral circulation and NIHSS score at admission for predicting disease progression in patients with APACI was 0.914(95％ CI0.861-0.952,P＜0.01),which was greater than that of each indicator(all P＜0.05).No statistically significant differences were found in smoking,drinking,hypertension,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and BAR between the poor prognosis and the good prognosis group(all P＞0.05).Compared with the good prognosis group,the poor prognosis group had significantly older age and higher proportion of patients with diabetes,NIHSS score at admission,proportion of patients with poor collateral circulation,and PIV(all P＜0.05).Moreover,the proportion of men in the poor prognosis group was lower than that in the good prognosis group(P=0.039).There was a statistically significant difference between the good prognosis group and the poor prognosis group in the Fazekas classification of white matter lesions(P＜0.01).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.345,95％CI 1.081-1.674,P=0.008),poor collateral circulation(OR,3.903,95％CI 1.061-14.355,P=0.040),and high PIV(OR,1.011,95％CI 1.005-1.017,P＜0.01)were independent risk factors of poor prognosis in patients with APACI.The AUC for predicting poor prognosis in patients with APACI through combining PIV,collateral circulation and NIHSS score at admission was 0.911(95％CI 0.857-0.950,P＜0.01),which is greater than using poor collateral circulation or NIHSS score at admission alone(both P＜0.05).However,there was no statistically significant difference in AUC between the PIV,collateral circulation and NIHSS score combined predictive model and the PIV(alone)predictive model(P＞0.05).Conclusions High PIV,high BAR,poor collateral circulation,and high NIHSS score at admission were independent risk factors of disease progression in patients with APACI.Combination of these four indices demonstrates relatively high predictive value for disease progression.In addition,high PIV,poor collateral circulation,and high NIHSS score at admission are independent risk factors of poor prognosis in patients with APACI.Joint detection of the three indices may assist in short-term prognosis evaluation of patients with APACI.

Objective To investigate the effect of interleukin-6 (IL-6) on the phagocytosis of MH-S alveolar macrophages and its related mechanisms. Methods A mouse acute lung injury (ALI) model was constructed by instilling lipopolysaccharide (LPS) into the airway. ELISA was used to detect the content of IL-6 in bronchoalveolar lavage fluid (BALF). In vitro cultured MH-S cells, in the presence or absence of signal transducer and activator 3 of transcription(STAT3) inhibitor Stattic (5 μmol/L), IL-6 (10 ng/mL~500 ng/mL) was added to stimulate for 6 hours, and then incubated with fluorescent microspheres for 2 hours. The phagocytosis of MH-S cells was detected by flow cytometry. Western blot analysis was used to detect the expression levels of phosphorylated Janus kinase 2 (p-JAK2), phosphorylated STAT3 (p-STAT3), actin-related protein 2 (Arp2) and filamentous actin (F-actin). Results The content of IL-6 in BALF was significantly increased after the mice were injected with LPS through the airway. With the increase of IL-6 stimulation concentration, the phagocytic function of MH-S cells was enhanced, and the expression levels of Arp2 and F-actin proteins in MH-S cells were increased. The expression levels of p-JAK2 and p-STAT3 proteins increased in MH-S cells stimulated with IL-6(100 ng/mL). After blocking STAT3 signaling, the effect of IL-6 in promoting phagocytosis of MH-S cells disappeared completely, and the increased expression of Arp2 and F-actin proteins in MH-S cells induced by IL-6 was also inhibited. Conclusion IL-6 promotes the expression of Arp2 and F-actin proteins by activating the JAK2/STAT3 signaling pathway, thereby enhancing the phagocytic function of MH-S cells.
Animals ; Mice ; Actins ; Disease Models, Animal ; Interleukin-6 ; Janus Kinase 2 ; Lipopolysaccharides ; Macrophages, Alveolar ; Signal Transduction

Objective:To construct an aggregation induced emission (AIE) self-assembled probe based on glutathione (GSH) response covalent cyclization and evaluate it in vitro.Methods:The peptide sequence containing the 2-cyano-6-aminobenzothiazole-cysteine (CBT-Cys) condensation sequence was synthesized by the solid-phase peptide synthesis method. After coupling with an AIE molecule by click chemical reaction, an AIE self-assembled probe 1 based on GSH response covalent cyclization was constructed, and probe 2 lacking Cys structure was used as the control. The absorption and emission spectra of probes were tested and the specificity of probes to GSH was analyzed. The hydrodynamic diameter and structure of the probes after response were compared. The effects of different pH values, temperatures, probe concentrations, and GSH concentrations on fluorescence intensity were investigated. The toxicity of probes to tumor cells such as HeLa, HepG2 and MDA-MB-231 was evaluated.Results:After GSH response, the fluorescence of probe 1 was enhanced by about 6 times and that of probe 2 was enhanced by about 2 times; probe 1 was converted into a dimer with a hydrodynamic diameter of about 896.1 nm. Probe 2 lacked a cyclization motif and was converted into a monomer with a hydrodynamic diameter of about 427.4 nm. The fluorescence intensity of probe 1 was significantly higher than that of probe 2 at pH=7.0 and 37 ℃, and the toxicity of probes to tumor cells (HeLa, HepG2 and MDA-MB-231) was low.Conclusions:After the disulfide bond of probe 1 was reduced by GSH, the probe molecule lost the hydrophilic sequence, resulting in fluorescence turn-on (the first aggregation), and probe 1 immediately generates an AIE dimer (the second aggregation) because it contains a CBT-Cys cyclization sequence, which realizes the dual AIE effect compared with the single aggregation of probe 2, and significantly enhances the fluorescence emission. Probe 1 has better applicability in physiological environments, which provides an idea for in-situ generation of covalent cycling probes in vivo and is expected to be used in tumor imaging and treatment in the later stages.

ObjectiveTo explore the clinical results of endoscopic resection of the frontal benign tumors.MethodsNineteen cases of benign tumors in the frontal area were rcsected using endo scopic techniques.The tumors were diagnosed as benign according to complaint,history and physical examination.ResultsAll 19 tumors were totally resected.The pathological examination revealed 11cases of lipoma,3 cases of sebaceous cyst,3 cases of sebaceous cyst and 2 cases of dermoid cyst.During 6 months to 2 years of follow-up,no tumor recurred.Local concavity was noticed in all patients but all resolved within 6 months except 2 patients.They received granular fat graft of the concavities 6months late and were satisfied with the results.ConclusionsBenign tumors near eyebrows and in glabella area can be treated by minimally invasive endoscopic technique.Compared with traditional surgery,this technique offers inconspicuous scar and fast recovery.