ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

OBJECTIVE: To assess the risk of aristolochic acid (AA)-associated cancer in patients with AA nephropathy (AAN). METHODS: A retrospective study was conducted on patients diagnosed with AAN at Peking University First Hospital from January 1997 to December 2014. Long-term surveillance and follow-up data were analyzed to investigate the influence of different factors on the prevalence of cancer. The primary endpoint was the incidence of liver cancer, and the secondary endpoint was the incidence of urinary cancer during 1 year after taking AA-containing medication to 2014. RESULTS: A total of 337 patients diagnosed with AAN were included in this study. From the initiation of taking AA to the termination of follow-up, 39 patients were diagnosed with cancer. No cases of liver cancer were observed throughout the entire follow-up period, with urinary cancer being the predominant type (34/39, 87.17%). Logistic regression analysis showed that age, follow-up period, and diabetes were potential risk factors, however, the dosage of the drug was not significantly associated with urinary cancer. CONCLUSIONS No cases of liver cancer were observed at the end of follow-up. However, a high prevalence of urinary cancer was observed in AAN patients. Establishing a direct causality between AA and HCC is challenging.
Humans ; Retrospective Studies ; Incidence ; Carcinoma, Hepatocellular ; Liver Neoplasms/epidemiology* ; Kidney Diseases/chemically induced* ; Aristolochic Acids/adverse effects*

ObjectiveTo investigate the effect of Yiqi Tongxin formula （YQTM） on liver inflammation in apolipoprotein E^-∕- （ApoE^-∕-） mice by regulating the nuclear transcription factor-κB （NF-κB）/NOD-like receptor protein 3 （NLRP3） signaling pathway. MethodForty ApoE^-∕- mice were randomly divided into a model group， an atorvastatin group （positive drug group）， and low-， medium-， and high-dose YQTM groups （0.39， 0.78， 1.56 g·kg^-1）. Each drug administration group was given the corresponding concentration of the drug by gavage on the basis of high-fat feeding for 12 consecutive weeks. Eight C57BL/6J mice were used as a blank group and fed with normal chow. After 12 weeks， oil red O staining and Masson staining were used to observe the aortic lesions in mice and to determine whether the modeling was successful. Oil red O staining was used to observe the lipidosis in the livers of mice. Hematoxylin-eosin （HE） staining was used to observe the tissue lesions in the livers of mice. Masson staining was used to observe the distribution of collagen fibers in the livers of mice. Enzyme markers were used to detect the total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein （LDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in mouse serum， as well as total cholesterol （TC） and triglyceride （TG） in the liver. Interleukin-1β （IL-1β） and IL-18 were detected in mouse liver by enzyme-linked immunosorbent assay （ELISA）. Immunohistochemistry （IHC） was utilized to observe the expression regions of NF-κB and NLRP3 in the livers of mice. Western blot was employed to detect the protein expression levels of NF-κB， NF-κB inhibitory protein （IκB）， IκB kinase β （IKKβ）， phosphorylated NF-κB （p-NF-κB）， phosphorylated IκB （p-IκB）， phosphorylated IKK β （p-IKKβ）， NLRP3， and Caspase-1 in the livers of mice. ResultCompared with the blank group， the model group showed severe aortic lipidosis， and the intracellular fat droplets in the livers aggregated in large quantities. The cytoplasm was filled with fat vacuoles（P<0.01）. The serum levels of TG， TC， LDL-C， AST， and ALT were significantly elevated in the mice（P<0.01）. TG and TC levels were elevated in the liver（P<0.01）. The levels of IL-1β and IL-18 in liver tissue， as well as the protein expression levels of NF-κB， IκB， IKKβ， p-NF-κB， p-IκB， p-IKKβ， NLRP3， and Caspase-1 in the liver were significantly elevated（P<0.01）. Compared with the model group， the aortic arch plaques of mice in each YQTM group were attenuated， and the fat aggregation in the liver was reduced. The inflammatory cell infiltration was alleviated（P<0.05，P<0.01）. The serum levels of TG， TC， LDL-C， AST， and ALT were significantly reduced（P<0.05，P<0.01）. TG and TC levels in the liver were reduced. The IL-1β and IL-18 levels in liver tissue， as well as protein expression levels of NF-κB， IκB， IKKβ， p-NF-κB， p-IκB， p-IKKβ， NLRP3， and Caspase-1 in the liver were significantly reduced（P<0.05，P<0.01）. ConclusionThe intervention mechanism of YQTM on liver inflammation in ApoE^-∕- mice may be related to the down-regulation of the NF-κB/NLRP3 signaling pathway.

Based on the genomic information of Emericella sp. 1454, in conjunction with literature analysis of its secondary metabolite emestrin, this study identified the biosynthetic precursors of emestrin and enhanced its production by supplementing the culture medium with these precursors. In this study, it was found for the first time that the addition of biosynthetic precursor, reduced glutathione, to the culture medium significantly increased emestrin yield. By incorporating 1.5 g of reduced glutathione into 50 g of rice culture medium and fermenting for 15 days, a yield of 30.82 mg of emestrin was obtained, which marked an 11.71-fold increase compared to the original fermentation approach. The method is both simple and cost-effective, establishing a solid foundation for the efficient synthesis of emestrin and similar compounds. Additionally, it serves as an important reference for enhancing the production of other epipolythiodioxopiperazine compounds.

In this study, doxorubicin (DOX) was used as the model drug, new indocyanine green (IR820) as the photosensitizer, and temperature sensitive liposomes (TSL) as the carrier. H460-NCI photoheat-sensitive liposomes coated with cell membrane of human cell lung cancer (DOX-IR820-TSL@CCM) for highly effective multi-pathway tumor targeting in chemical-photothermal therapy and photodynamic therapy. DOX-IR820-TSL was prepared by reverse evaporation, cancer cell membrane (CCM) was prepared by lysis, crushing and centrifugation, and DOX-IR820-TSL@CCM was prepared by nanomembrane extrusion. The drug-loading conditions of DOX-IR820-TSL were finally determined: the ratio of organic phase to aqueous phase was 4.02, the dosage of dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) was 10.04 mg, and the lipid ratio was 0.12, and the significant phase transition temperature (T_m) of DOX-IR820-TSL was 43.05 ℃. The average particle size of DOX-IR820-TSL@CCM was 153.4 nm, the PDI was 0.279, and the zeta potential was -26.2 mV. The transmission electron microscope (TEM) image shows a homogeneous spherical structure and a translucent film layer. Under near-infrared irradiation, the drug release rate reaches 63.98%, which has adjustable photothermal conversion capacity and the ability to generate reactive oxygen species. Through SDS-PAGE electrophoresis, Western blot, cytotoxicity experiments and cell uptake experiments, it was proved that the design of cell membrane coating can well retain CD47, N-cadherin, CD44, CD326 and other related functional proteins, so that DOX-IR820-TSL@CCM has good immune evasion, homologous adhesion and homologous targeting. In this paper, DOX-IR820-TSL@CCM with camouflage properties and tumor targeting properties were successfully prepared, which can be used as a promising synergistic therapeutic diagnostic platform for future lung cancer treatment. All animal research programs have been approved by the Animal Ethics Committee of Heilongjiang University of Chinese Medicine (number: 2022121011).

Objective:To assess the effectiveness of a 6-month Ba Duan Jin exercise program in improving the balance of community-dwelling older adults.Methods:A two arms, parallel-group, cluster randomized controlled trial was conducted in 1 028 community residents aged 60-80 years in 40 communities in 5 provinces of China. Participants in the intervention group (20 communities, 523 people) received Ba Duan Jin exercise 5 days/week, 1 hour/day for 6 months, and three times of falls prevention health education, and the control group (20 communities, 505 people) received falls prevention health education same as the intervention group. The Berg balance scale (BBS) score was the leading outcome indicator, and the secondary outcome indicators included the length of time of standing on one foot (with eyes open and closed), standing in a tandem stance (with eyes open and closed), the closed circle test, and the timed up to test.Results:A total of 1 028 participants were included in the final analysis, including 731 women (71.11%) and 297 men (28.89%), and the age was (69.87±5.67) years. After the 3-month intervention, compared with the baseline data, the BBS score of the intervention group was significantly higher than the control group by 3.05 (95% CI: 2.23-3.88) points ( P<0.001). After the 6-month intervention, compared with the baseline data, the BBS score of the intervention group was significantly higher than the control group by 4.70 (95% CI: 4.03-5.37) points ( P<0.001). Ba Duan Jin showed significant improvement ( P<0.05) in all secondary outcomes after 6 months of exercise in the intervention group compared with the control group. Conclusions:This study showed that Ba Duan Jin exercise can improve balance in community-dwelling older adults aged 60-80. The longer the exercise time, the better the improvement.

To investigate the associations of serum gamma-glutamyl transferase (GGT) levels with the risk of cardiovascular disease (CVD) and its subtypes in patients with type 2 diabetes mellitus (T2DM) in Jiangsu Province.Methods:The participants were enrolled in the Comprehensive Research project regarding 'Prevention and Control of Diabetes' in Jiangsu Province. The baseline survey was conducted from 2013 to 2014, and follow-up until December 31, 2021. After excluding the participants who self-reported with chronic liver disease/stroke/coronary heart disease at baseline survey and those with incomplete information on GGT, a total of 16 147 T2DM patients were included in the final analysis. Cox proportional hazard regression models were used to calculate the hazard ratio ( HR) and their 95% CI of GGT for CVD, myocardial infarction, and stroke. Restricted cubic spline models were applied to analyze the dose-response relationship between GGT and the risk of CVD and its subtypes. Results:During the median follow-up time of 8.02 years, 2 860 CVD cases were registered, including 196 cases of myocardial infarction and 2 730 cases of stroke. Multivariate Cox proportional risk regression model indicated that compared to the lowest serum GGT level group, the highest GGT level group had a 24% increased risk of CVD ( HR=1.24, 95% CI: 1.09-1.41) and a 23% increased risk of stroke ( HR=1.23, 95% CI: 1.08-1.40). The restricted cubic spline model showed a nonlinear dose-response relationship between GGT and the risk of CVD, myocardial infarction, and stroke in T2DM patients. Conclusions:High levels of GGT may be associated with an increased risk of cardiovascular disease in T2DM patients, which needs further exploration and validation in future clinical practice.