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.

Ecological cultivation is an important way for the sustainable production of traditional Chinese medicine in the context of the carbon peaking and carbon neutrality goals. Facility cultivation and simulative habitat cultivation modes have been developed and applied to develop the endangered Dendrobium huoshanense on the basis of protection. However, the differences in the greenhouse gas emissions and global warming potential of these cultivation modes remain unexplored, which limits the accurate assessment of carbon-friendly ecological cultivation modes of D. huoshanense. Greenhouse gas emission flux monitoring based on the static chamber method provides an effective way to solve this problem. Therefore, this study conducted a field experiment in the facility cultivation and simulative habitat cultivation modes at a D. huoshanense cultivation base in Dabie Mountains, Anhui Province. From April 2023 to March 2024, samples of greenhouse gases were collected every month, and the concentrations of CO_2, CH_4, and N_2O of the samples were then detected by gas chromatography. The greenhouse gas emission fluxes, cumulative emissions, and global warming potential were further calculated, and the following results were obtained.(1)The two cultivation modes of D. huoshanense showed significant differences in greenhouse gas emission fluxes, especially the CO_2 emission flux, with a pattern of facility cultivation>simulative habitat cultivation [(35.60±11.70)mg·m~(-2)·h~(-1) vs(2.10±4.59)mg·m~(-2)·h~(-1)].(2) The annual cumulative CO_2 emission flux in the case of facility cultivation was significantly higher than that of simulative habitat cultivation[(3 077.00±842.00)kg·hm~(-2) vs(221.00±332.00)kg·hm~(-2)], while no significant difference was found in annual cumulative CH_4 and N_2O emission fluxes.(3) The facility cultivation mode had a significantly higher global warming potential than the simulative habitat cultivation mode [(3 053.00±847.00)kg·hm~(-2) vs(196.00±362.00)kg·hm~(-2)]. Overall, the simulative habitat cultivation of D. huoshanense has obvious carbon-friendly characteristics compared with facility cultivation, which is in line with the concept of ecological cultivation of medicinal plants. This study is of great reference significance for the implementation and promotion of the ecological cultivation mode of D. huoshanense under carbon peaking and carbon neutrality goals.
Dendrobium/chemistry* ; Greenhouse Gases/metabolism* ; Carbon/analysis* ; Ecosystem ; Carbon Dioxide/metabolism* ; China ; Global Warming

Purpose: During the COVID-19 pandemic, nurses have faced many professional and ethical dilemmas and challenges along with bearing physical, mental, and emotional stress resulting from worrying about themselves or their family being infected and stigmatized. This stress can potentially lead to burnout and resignation. Professional resilience is crucial for nurses to cope with these adverse situations. This study aimed to investigate the process by which nurses adapt, change, and overcome challenges during the COVID-19 pandemic and ultimately demonstrate professional resilience. Methods: Descriptive phenomenology was applied. Semi-structured interviews were conducted with 11 nurses working in COVID-19 wards and intensive care units to collect data. Giorgi's phenomenological analysis method was employed. Results: Based on the interview responses, four major themes were identified: 1) balancing patient care, self-protection, and passing on experience; 2) providing timely pandemic team resources and social support; 3) nurses' perseverance amid social discourse and constrained lives; and 4) selfless dedication shaping nursing's pinnacle experiences. Conclusions In the face of a sudden pandemic, frontline nurses play a critical role in maintaining medical capacity. Consequently, they must balance their families, lives, and work while adapting to the impact of the pandemic and changing practices and procedures based on the development of the pandemic and policy demands. The study findings provide insights into the challenges and emotional experiences encountered by nurses during a sudden pandemic outbreak and can serve as a reference for developing strategies to help nurses overcome these challenges and enhance their professional resilience.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Exosomes are nanoscale extracellular vesicles that are secreted by a variety of cells in the body. They carry particular miRNA, protein molecules, transcription factors, and other information molecules, and they play a role in the pathophysiological regulation of a number of diseases in the body. Exosomes can persist steadily in biological tissues and bodily fluids. Exosomes have quickly advanced in ophthalmology in recent years due to the extensive studies of exosomes in a variety of fields, such as diabetic retinopathy, age-related macular degeneration, autoimmune uveitis, corneal disease, glaucoma, and other diseases. The number of people who are blind caused by diabetic retinopathy is rising as living standards rise. However, it is still unclear how diabetic retinopathy works. In recent years, many studies have found that exosomes play an important role in diabetic retinopathy. In this paper, the most recent developments in exosome studies as they relate to the pathogenesis and progression of diabetic retinopathy are reviewed.

Objective: Individuals with dementia are at a substantially elevated risk for mortality; however, few studies have examined multimorbidity patterns and determined the inter-relationship between these comorbidities in predicting mortality risk. Methods: This is a prospective cohort study. Data from 6,556 patients who were diagnosed with dementia between 1997 and 2012 using the Taiwan National Health Insurance Research Database were analyzed. Latent class analysis was performed using 16 common chronic conditions to identify mortality risk among potentially different latent classes. Logistic regression was performed to determine the adjusted association of the determined latent classes with the 5-year mortality rate. Results: With adjustment for age, a three-class model was identified, with 42.7% of participants classified as “low comorbidity class (cluster 1)”, 44.2% as “cardiometabolic multimorbidity class (cluster 2)”, and 13.1% as “FRINGED class (cluster 3, characterized by FRacture, Infection, NasoGastric feeding, and bleEDing over upper gastrointestinal tract).” The incidence of 5-year mortality was 17.6% in cluster 1, 26.7% in cluster 2, and 59.6% in cluster 3. Compared with cluster 1, the odds ratio for mortality was 9.828 (95% confidence interval [CI]=6.708–14.401; p<0.001) in cluster 2 and 1.582 (95% CI=1.281–1.953; p<0.001) in cluster 3. Conclusion Among patients with dementia, the risk for 5-year mortality was highest in the subpopulation characterized by fracture, urinary and pulmonary infection, upper gastrointestinal bleeding, and nasogastric intubation, rather than cancer or cardiometabolic comorbidities. These findings may improve decision-making and advance care planning for patients with dementia.

OBJECTIVES: To investigate the clinical treatment outcomes and the changes of the outcomes over time in extremely preterm twins in Guangdong Province, China. METHODS: A retrospective analysis was performed for 269 pairs of extremely preterm twins with a gestational age of <28 weeks who were admitted to the department of neonatology in 26 grade A tertiary hospitals in Guangdong Province from January 2008 to December 2017. According to the admission time, they were divided into two groups: 2008-2012 and 2013-2017. Besides, each pair of twins was divided into the heavier infant and the lighter infant subgroups according to birth weight. The perinatal data of mothers and hospitalization data of neonates were collected. The survival rate of twins and the incidence rate of complications were compared between the 2008-2012 and 2013-2017 groups. RESULTS: Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of severe asphyxia and smaller head circumference at birth (P<0.05). The mortality rates of both of the twins, the heavier infant of the twins, and the lighter infant of the twins were lower in the 2013-2017 group compared with the 2008-2012 group (P<0.05). Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of pulmonary hemorrhage, patent ductus arteriosus (PDA), periventricular-intraventricular hemorrhage (P-IVH), and neonatal respiratory distress syndrome (NRDS) and a higher incidence rate of bronchopulmonary dysplasia (P<0.05). CONCLUSIONS There is a significant increase in the survival rate over time in extremely preterm twins with a gestational age of <28 weeks in the 26 grade A tertiary hospitals in Guangdong Province. The incidences of severe asphyxia, pulmonary hemorrhage, PDA, P-IVH, and NRDS decrease in both the heavier and lighter infants of the twins, but the incidence of bronchopulmonary dysplasia increases. With the improvement of diagnosis and treatment, the multidisciplinary collaboration between different fields of fetal medicine including prenatal diagnosis, obstetrics, and neonatology is needed in the future to jointly develop management strategies for twin pregnancy.
Bronchopulmonary Dysplasia/epidemiology* ; Female ; Gestational Age ; Humans ; Infant ; Infant, Extremely Premature ; Infant, Newborn ; Pregnancy ; Respiratory Distress Syndrome, Newborn/epidemiology* ; Retrospective Studies ; Treatment Outcome

OBJECTIVE: To evaluate pharmacokinetics (PK), efficacy, and safety of atezolizumab (anti-PD-L1) in high interest cancers in China, including esophageal cancer (EC), gastric cancer (GC), hepatocellular carcinoma (HCC), nasopharyngeal cancer (NPC), and non-small cell lung can-cer (NSCLC). METHODS: This phase I, open-label study was conducted at 6 Chinese sites from August 4, 2016 to April 15, 2019. The patients were ≥18 years old with a histologically documented incurable or metastatic solid tumor that was advanced or recurrent and had progressed since the last anti-tumor the-rapy. The PK phase characterized PK and safety of atezolizumab following multiple-dose administration when atezolizumab was administered as a single agent. The extension phase studied safety and efficacy of atezolizumab, as monotherapy (EC, GC, HCC, NPC) and with chemotherapy (NSCLC). RESULTS: This study enrolled 120 patients (PK phase: n=20; extension phase: n=20/cohort). Fourty-two patients (42.0%) were PD-L1 positive in atezolizumab monotherapy group (100 patients), of the 9 patients (9.0%) with microsatellite instability-high (MSI-H) tumors. Atezolizumab clearance was 0.219 L/d, and steady state was reached after 6 to 9 weeks (2-3 cycles) of repeated dosing. Objective response rates (ORRs) in EC, GC, HCC, NPC, and NSCLC were 10.0%, 15.0%, 10.0%, 5.0%, and 40.0%, respectively. In the patients with PD-L1 positive tumors, ORR was 11.9% with atezolizumab and 46.2% with atezolizumab plus gemcitabine and cisplatin. Two GC patients achieved durable response after pseudo-progression. The most common treatment-related adverse events in the atezolizumab monotherapy group were fatigue, anemia, fever, and decreased white blood cell count. The most common treatment-related adverse events in the combination group were anemia, decreased white blood cell count, and decreased appetite. No new safety signals were identified. CONCLUSION Atezolizumab's PK, efficacy, and safety were similar in Chinese patients vs. global patients in previous studies.
Adolescent ; Antibodies, Monoclonal, Humanized ; Antineoplastic Agents/therapeutic use* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Carcinoma, Hepatocellular/drug therapy* ; Cisplatin/therapeutic use* ; Humans ; Liver Neoplasms/drug therapy* ; Lung Neoplasms/pathology* ; Nasopharyngeal Neoplasms/drug therapy*

Diabetic nephropathy (DN) is a hyperglycemia-induced progressivedevelopment of renal insufficiency. Excessive glucose can increase mitochondrialreactive oxygen species (ROS) and induce cell damage, causing mitochondrial dysfunction.Our previous study indicated that cilostazol (CTZ) can reduce ROS levelsand decelerate DN progression in streptozotocin (STZ)-induced type 1 diabetes.This study investigated the potential mechanisms of CTZ in rats with DN and in highglucose-treated mesangial cells. Male Sprague–Dawley rats were fed 5 mg/kg/day ofCTZ after developing STZ-induced diabetes mellitus. Electron microscopy revealedthat CTZ reduced the thickness of the glomerular basement membrane and improvedmitochondrial morphology in mesangial cells of diabetic kidney. CTZ treatmentreduced excessive kidney mitochondrial DNA copy numbers induced by hyperglycemiaand interacted with the intrinsic pathway for regulating cell apoptosis as anantiapoptotic mechanism. In high-glucose-treated mesangial cells, CTZ reduced ROSproduction, altered the apoptotic status, and down-regulated transforming growthfactor beta (TGF-) and nuclear factor kappa light chain enhancer of activated B cells(NF-B). Base on the results of our previous and current studies, CTZ decelerationof hyperglycemia-induced DN is attributable to ROS reduction and thereby maintenanceof the mitochondrial function and reduction in TGF- and NF-B levels.

Purpose: Some patients with respiratory failure fail initial weaning attempts and need prolonged mechanical ventilation (MV). Prolonged MV is associated with many complications and consumption of heathcare resources. Objective weaning indices help staffs to identify high-potential patients for weaning from the MV. Traditional weaning indices are not reliable in clinical practice. Transitional percentage of minute volume (TMV%) is a new index of the work of breathing. This study aimed to investigate the utility of TMV% in the prediction of weaning potential. Methods: This study was prospectively performed including all patients with prolonged MV. Researchers recorded their demographics, TMV%, respiratory parameters, Acute Physiology and Chronic Health Evaluation II score, and laboratory data upon arrival at the respiratory care center. The factors associated with successful weaning were analyzed. Results: Out of the 120 patients included, 84 (70.0%) were successfully weaned from MV. Traditional weaning indices such as rapid shallow breathing index could not predict the weaning outcome. TMV% was a valuable parameter as patients with a lower TMV%, higher tidal volume, higher hemoglobin, lower blood urea nitrogen, and lower Acute Physiology and Chronic Health Evaluation II scores had a higher rate of successful weaning. TMV%, tidal volume, and HCO3- levels were independent predictors of successful weaning, and the area under the curve was .79 in the logistic regression model. Conclusion TMV% is a novel and effective predictor of successful weaning. Patients with lower TMV% had a higher MV weaning outcome. Once patients with a high potential for successful weaning are identified, they should be aggressively weaned from MV as soon as possible.