Antibodies play a critical role in adaptive immune responses and serve as key components in disease diagnosis and treatment. These molecules exhibit dynamic post-translational modifications (PTMs), such as glycosylation and phosphorylation, which regulate their effector functions. To date, nearly all of our knowledge about antibody repertoires has come from B cell receptor (BCR) sequencing (BCR-seq), which facilitates the profiling of clonal composition and the tracing of maturation trajectories within B-cell repertoires. However, circulating antibodies found in bodily fluids—such as serum, saliva, milk, mucosal secretions, and cerebrospinal fluid—exhibit diversities and specificities beyond what BCR-seq alone can predict. Therefore, identifying and quantifying antibody clonotypes at the protein level could enhance diagnosis, prognosis, and treatment strategies in personalized medicine. The critical gap between genotype and phenotype necessitates complementary methodologies that enable the direct characterization of antibody proteins in their native functional states. Mass spectrometry (MS)-based antibody repertoire sequencing (Ab-seq) is currently the only feasible approach for this task and primarily includes database-dependent methods—such as bottom-up, middle-down, and top-down approaches—as well as database-independent de novo sequencing technology. These strategies enable multi-level, high-precision characterization ranging from peptides and domains to intact antibody molecules. Unlike the shotgun strategy commonly used in routine proteomics, obtaining full sequences of all antibodies presents unique challenges. It requires specialized methodological adaptations to address issues related to dynamic range, sequence variation, and sample complexity. This review introduces the technical principles, methodological workflows, and recent applications of various mass spectrometry-based antibody repertoire sequencing (Ab-seq) strategies, with a focus on approaches designed to improve sequence coverage and identification accuracy. These include multi-enzyme digestion, hybrid fragmentation methods, and artificial intelligence-assisted de novo sequencing. By systematically comparing database-dependent techniques—such as bottom-up, middle-down, and top-down approaches—with database-independent de novo sequencing, this review outlines their respective advantages and limitations in terms of sample throughput, sequence coverage, post-translational modification characterization, and data analysis complexity. In addition, this review discusses emerging technological trends, including the integration of ion mobility separation, native mass spectrometry, and artificial intelligence-driven data interpretation, which are expected to enhance the depth and accuracy of antibody characterization. Although current methods continue to face challenges related to sample complexity, dynamic range, and unambiguous sequence variant assignment, we emphasize the importance of integrating BCR-seq and Ab-seq data to construct gene-protein association maps. These maps help validate sequence accuracy and facilitate epitope discovery. This dual-platform strategy helps bridge the gap between genotype and phenotype, thereby enhancing both the resolution and scope of antibody repertoire studies. Such an integrative approach also offers a valuable tool for therapeutic antibody development, structure-function analysis, and precise evaluation of vaccine efficacy.

In March 2024, three male and two female specimens of the genus Lispe were intercepted on cargo ships inbound for Wan Zai Port under Gongbei Customs. Based on morphological characteristics and molecular analysis, the specimens were identified as Lispe pumila. In this study, we describe the morphological features, diagnostic characteristics, and geographical distribution of L. pumila, with the aim of providing a reference for the identification of this species when intercepted at ports.

Background Diarrhea disease is a common intestinal infectious disease, and its incidence is affected by meteorological conditions. A better understanding of its epidemiological patterns and influencing factors, together with the construction of reliable prediction models, is of great significance for precise public health prevention and control. Objective To clarify the epidemic characteristics of adult diarrhea disease in Shanghai, analyze the associations of meteorological factors and a web search index with adult diarrhea disease, and develop and compare forecasting models to support precise regional prevention and control. Methods Weekly surveillance data of adult diarrhea disease cases from the Shanghai Comprehensive Surveillance Information System for Diarrhea Diseases, together with concurrent meteorological observation data and web search index (Baidu index) data from 2014 to 2019, were collected. A distributed lag non-linear model (DLNM) was adopted to analyze the associations of multiple meteorological factors and the web search index with the number of diarrhea disease cases. By integrating meteorological factors and web search index data, three types of forecasting models were developed, including autoregressive integrated moving average (ARIMA), Random Forest, and extreme gradient boosting (Xgboost), and their predictive performances were evaluated. Results Adult diarrhea disease in Shanghai exhibited seasonal variation, with an major incidence peak in summer and winter peaks in some years. The number of cases declined annually after 2015. Mean temperature was significantly associated with the risk of diarrhea disease, and both low and high temperature exposures were associated with increased risks. The highest risk was observed at 32.8°C (RR=2.04, 95%CI: 1.62, 2.55), while the strongest effect of low temperature was observed at 0.9 °C (RR=1.53, 95%CI: 1.25, 1.88). When relative humidity exceeded 69%, the risk of diarrhea disease increased with relative humidity, reaching a peak at 81% (RR=1.20, 95%CI: 1.07, 1.35). When weekly cumulative precipitation exceeded 16 mm, the risk also increased with increasing precipitation, reaching a maximum at 105 mm (RR=1.23, 95%CI: 1.07, 1.42). The web search index was positively associated with the risk of diarrhea disease. Model prediction indicated that both the Random Forest model and the Xgboost model adequately captured the overall trend in diarrhea disease cases, with R² values generally exceeding 0.7. Notably, the Xgboost model demonstrated greater accuracy in capturing peak intensities. Conclusion Meteorological factors are associated with adult diarrhea disease in Shanghai. The web search index may serve as an auxiliary indicator for diarrhea forecasting. Machine learning models, with advantages in integrating multisource data, may provide effective predictive tools for the prevention and control of diarrhea disease.

Background: Surgeons face challenges in selecting cost-effective and biologically active agents for rotator cuff healing, given the numerous commercial products available, such as polydeoxyribonucleotide (PDRN) and atelocollagen (ATC). However, the precise efficacy of PDRN and ATC in rotator cuff healing remains debatable, and there is currently a lack of studies directly comparing the effects of the 2 agents on repaired cuff tendons. Therefore, the purpose of this study was to compare the efficacy of PDRN and ATC on bone-to-tendon interface (BTI) healing using a chronic rotator cuff tear (RCT) model in rabbits. Methods: Forty-eight rabbits were randomly divided into 3 groups. To create chronic RCT models, transected tendons were left untreated for 6 weeks, and then were repaired in a transosseous manner with PDRN and ATC injection into the repair site according to group allocation (group A: saline, group B: PDRN, group C: ATC; n = 16 per group). Genetic and immunofluorescence analyses were performed at 4 weeks after surgery. Furthermore, genetic, histologic, and biomechanical analyses were performed at 12 weeks after surgery. Results: At 4 weeks after surgery, ATC-injected shoulders showed the highest mRNA expression levels of collagen type I alpha 1 and aggrecan compared to the other 2 groups (p < 0.001 and p = 0.002, respectively). Meanwhile, there was more preliminary fibrocartilaginous matrix formation in the ATC-injected group. At 12 weeks after surgery, ATC-injected shoulders demonstrated better collagen fiber continuity and orientation, denser collagen fibers, a more mature bone-to-tendon junction, and greater fibrocartilage layer formation compared to the other 2 groups (all p < 0.001). Furthermore, ATC-injected shoulders also demonstrated a significantly higher load-to-failure value (40.4 ± 4.5 N/kg) than the remaining groups (group A, 26.7 ± 3.0 N/kg; group B, 32.8 ± 4.2 N/kg; p < 0.001). Conclusions ATC demonstrated superior efficacy in promoting BTI healing following surgical repair in a chronic RCT model of rabbits.

Objective To predict the potential suitability distribution of Vitex negundo in China;To analyze the key environmental factors influencing its suitability distribution.Methods Based on the geographic distribution data of Vitex negundo from 196 sites across China and 55 environmental variables,the Maximum Entropy(MaxEnt)model and ArcGIS 10.2 were employed to predict the potential distribution of suitable habitats for Vitex negundo in China.Results The constructed MaxEnt prediction model demonstrated high reliability.The primary environmental factors influencing the suitable distribution of Vitex negundo included the average temperature from June to October,precipitation in April and November,the mean temperature of the warmest season,soil type,and vegetation type.The predicted suitable habitats for Vitex negundo would be widely distributed,primarily concentrated in Jiangxi,central and southern Anhui,northwestern Zhejiang,eastern and northeastern Hunan,as well as eastern and southeastern Hubei.Conclusion The predicted potential distribution of Vitex negundo in China can provide a valuable reference for the conservation and sustainable utilization of this medicinal resource.

Objective To investigate the influence of auricular acupressure combined with repetitive transcranial magnetic stimulation(rTMS)on swallowing function and neurological function in stroke pa-tients.Methods A total of 120 patients with dysphagia after stroke admitted to the hospital from January 2022 to June 2023 were selected as the research objects and divided into the control group,the auricular acu-pressure group,the rTMS group and the combined group according to the random number table method,with 30 cases in each group.The control group received routine care,the auricular acupressure group received auric-ular acupressure treatment on the basis of the control group,while the rTMS group received rTMS treatment,and the combined group received both auricular acupressure and rTMS treatment.All interventions lasted 4 weeks.Swallowing function was assessed before and after treatment using Functional Oral Intake Scale(FOIS),modified Mann Assessment of Swallowing Ability(MASA),and Water Swallow Test.Swallowing-related quality of life was evaluated before and after treatment by the Swallowing Quality of Life(SWAL-QOL)questionnaire.Neurological impairment was assessed before and after treatment using National Institu-tes of Health Stroke Scale(NIHSS).Results After treatment,FOIS and MASA scores in the four groups were higher than those before treatment,with the auricular acupressure group and the rTMS group showing higher scores than the control group,and the combination group significantly higher than the other three groups(P<0.05).The overall effectiveness rate for swallowing function in the combination group was 93.33%,significantly higher than 60.00%in the control group,63.33%in the auricular acupressure group,and 73.33%in the rTMS group(P<0.05),while there was no significant difference among the other three groups(P>0.05).After treatment,SWAL-QOL scores in the four groups were higher than that before treat-ment,with the auricular acupressure group and the rTMS group showing higher scores than the control group,and the combination group significantly higher than the other three groups(P<0.05).After treat-ment,NIHSS scores in the four groups were lower than that before treatment,and the combination group had significantly lower scores compared to the other three groups(P<0.05).Conclusion Auricular acupressure combined with rTMS could improve swallowing function and quality of life,and promote neurological function recovery in stroke patients.

Objective:To study the effects of parenteral nutrition containing ω-3 fish oil fat emulsion on the inflammatory status of patients with intestinal fistula at the early stage.Methods:A retrospective analysis was conducted on 28 patients with intestinal fistula who were admitted to the Sixth Department of General Surgery of Anhui Provincial Second People's Hospital from November 2023 to May 2024.The patients were either divided into control group(n=15,parenteral nutrition alone group)or study group(n=13,parenteral nutrition plus ω-3 fish oil fat emulsion)according to whether ω-3 fish oil fat emulsion was added to parenteral nutrition.Both groups of patients received parenteral nutrition support treatment,and the study group was given ω-3 fish oil fat emulsion during treatment.The general information,inflammatory factors in the blood,nutrition,and immune status of two groups of patients were collected and compared.The feces samples on the first and 14th day of admission were collected and analyzed by 16S rRNA high-throughput sequencing of gut microbiota.Results:There was no statistically significant difference in the general information,inflammation,nutrition,immune status,and gut microbiota between the two groups of patients on the first day of admission(P>0.05),indicating comparability between the two groups.After two weeks of parenteral nutrition support,the counts of red blood cells,white blood cells,platelets,lymphocytes,and levels of C-reactive protein,glutamate-pyruvate transaminase,aspartate aminotransferase,total bilirubin,direct bilirubin,total protein,albumin,and creatinine in the research group were similar to those in the control group without statistically significant differences(P>0.05).However,the counts of neutrophils and levels of blood urea nitrogen in the study group were significantly lower than those in the control group(P=0.03 and P=0.01).In addition,the abundance of intestinal flora in the study group was significantly higher than that in the control group(P<0.05).At the genus level,the abundance of Bacteroides_uniformis,Parabacteroides_merdae,Alistipes_finegoldii,Streptococcus_constellatus,Christensenella_minuta were different between the two groups after two weeks of treatment(P<0.05).Conclusion:Parenteral nutrition containing ω-3 fish oil fat emulsion can reduce the counts of neutrophils,which may alleviate inflammatory responses for patients with intestinal fistula at the early stage.

Microplastics are widely present in various environments such as water bodies,land,and atmosphere,which pose threats to the ecological environment and human health through transmission and accumulation in the food chain.The existing detection techniques for microplastics face challenges such as complex preparation procedure of samples,low efficiency in processing large batches of samples,and difficulties in handling complex samples.Therefore,there is an urgent need for rapid and efficient detection techniques suitable for complex microplastics samples in the field of environmental monitoring.Raman spectroscopy,known for its advantages such as rapidity,accuracy,high sensitivity,non-destructiveness,and non-contact,demonstrates great application potential in detection of microplastics.Deep learning,an artificial intelligence method known for its large-scale data processing,nonlinear modeling and automatic feature extraction capabilities,is receiving increasing attention in the analysis of Raman spectroscopy signals.The application of deep learning-based Raman spectroscopy has significantly improved performance indicators such as detection efficiency and accuracy.This article introduced the existing Raman enhancement techniques,summarized the deep learning methods applied in Raman spectroscopy signal analysis,reviewed the recent research and application progress of deep learning-based Raman spectroscopy in detection of microplastics,and finally discussed the challenges and future prospects of deep learning-based Raman spectroscopy in detection of microplastics.

Surgical methods for varicocele remain controversial. This study intends to evaluate the efficacy and safety of different surgical approaches for treating varicocele through a network meta-analysis (NMA). PubMed, Embase, Cochrane, and Web of Science databases were thoroughly searched. In total, 13 randomized controlled trials (RCTs) and 24 cohort studies were included, covering 9 different surgical methods. Pairwise meta-analysis and NMA were performed by means of random-effects models, and interventions were ranked based on the surface under the cumulative ranking curve (SUCRA). According to the SUCRA, microsurgical subinguinal varicocelectomy (MSV; 91.6%), microsurgical retroperitoneal varicocelectomy (MRV; 78.2%), and microsurgical inguinal varicocelectomy (MIV; 76.7%) demonstrated the highest effectiveness in reducing postoperative recurrence rates. In this study, sclerotherapy embolization (SE; 87.2%), MSV (77.9%), and MIV (67.7%) showed the best results in lowering the risk of hydrocele occurrence. MIV (82.9%), MSV (75.9%), and coil embolization (CE; 58.7%) were notably effective in increasing sperm motility. Moreover, CE (76.7%), subinguinal approach varicocelectomy (SV; 69.2%), and SE (55.7%) were the most effective in increasing sperm count. SE (82.5%), transabdominal laparoscopic varicocelectomy (TLV; 76.5%), and MRV (52.7%) were superior in shortening the length of hospital stay. The incidence rates of adverse events for MRV (0), SE (3.3%), and MIV (4.1%) were notably low. Cluster analyses indicated that MSV was the most effective in the treatment of varicocele. Based on the existing evidence, MSV may represent the optimal choice for varicocele surgery. However, selecting clinical surgical strategies requires consideration of various factors, including patient needs, surgeon experience, and the learning curve.
Humans ; Male ; Embolization, Therapeutic/methods* ; Microsurgery/methods* ; Randomized Controlled Trials as Topic ; Sclerotherapy/methods* ; Treatment Outcome ; Urologic Surgical Procedures, Male/methods* ; Varicocele/surgery*