Chronic pancreatitis （CP） is a common disease in clinical practice characterized by progressive inflammatory fibrosis of the pancreas. Gut microbiota， known as the “second genome” of humans， bidirectionally modulates the progression of fibrosis in CP via the gut-pancreas axis. This article systematically elaborates on the characteristics of gut microbiota during the progression of CP and its molecular mechanism in mediating pancreatic fibrosis through bacterial translocation， metabolites， immune regulatory networks， and microbe-pancreatic stellate cell interactions， with a focus on the pivotal role of short-chain fatty acids and inflammatory cytokine networks in pancreatic stellate cell activation and extracellular matrix deposition. In addition， this article explores the potential value of gut microbiota-targeted interventions in the prevention and treatment of CP fibrosis， such as probiotics， prebiotics， and fecal microbiota transplantation， and discusses the translational potential of using multi-omics technologies to identify diagnostic biomarkers and novel therapeutic targets for CP， in order to provide new ideas for the precise diagnosis and treatment of CP.

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.

Accommodative dysfunction, particularly accommodative lag, acts as a core hub connecting near work activity to myopic axial elongation. This review thoroughly explores the multidimensional biological mechanisms by which accommodative function drives axial growth. In addition to the classic pathway where hyperopic defocus signals induce retinal-choroidal-scleral biochemical remodeling, two other mechanisms are highlighted: a biomechanical pathway involving direct mechanical traction on the equatorial sclera caused by sustained ciliary muscle contraction, and a neural pathway where abnormal accommodative micro fluctuations degrade retinal image quality, thereby triggering abnormal ocular growth. Based on these comprehensive mechanisms, this paper systematically analyzes the principles of pharmacological(atropine), optical(orthokeratology, defocus lenses), and vision therapy interventions. Myopia progression results from the integrated regulation of optical defocus, mechanical stress, and neural dynamics. Future myopia control should advance toward precise, personalized combination strategies tailored to individual accommodative and genetic profiles.

In recent years, robot-assisted esophagectomy has become increasingly widespread, but the esophagogastric anastomosis step remains relatively complex and cumbersome. Currently, commonly used gastrointestinal reconstruction anastomosis techniques include end-to-end anastomosis, end-to-side anastomosis, and side-to-side anastomosis. Depending on the anastomosis method, they can be further divided into manual anastomosis and mechanical anastomosis, with common instruments including circular staplers and linear staplers. In esophageal cancer surgery, the choice of esophagogastric anastomosis technique is typically based on the tumor’s location and size as well as the surgeon’s preference. Each anastomosis technique has its advantages and disadvantages. With continuous improvements in anastomosis techniques and updates in stapling instruments, the incidence of complications after esophagogastric anastomosis has been effectively reduced. However, safely and efficiently completing gastrointestinal reconstruction during surgery remains a significant challenge. Scholars have made extensive explorations in this field, actively proposing and achieving various reconstruction methods, leading to significant progress. This article reviews the research progress of robot-assisted esophagogastric anastomosis techniques from both the anastomosis techniques and methods perspectives.

Objective To analyze the evaluation and influencing factors of healthy enterprises in Hubei Province from 2020 to 2023. Methods A total of 351 enterprises participated in the healthy enterprise evaluation in Hubei province were selected as the study subjects using the judgmental sampling method. The differences in evaluation results including scales, industry sector, and ownership type of the enterprises were compared. Results The median and the 25th and 75th percentiles [M (P₂₅, P₇₅)] of the evaluation score among the 351 enterprises was 869 (838, 941) points. The evaluation pass rate was 82.3%. The M(P₂₅, P₇₅) of scores for the management system, health environment, health management and services, health culture, and health outcome review were 183 (174, 192), 190 (181, 198), 340 (321, 376), 133 (122, 142), and 26 (24, 28) points, with the score percentage of 91.5%, 86.4%, 85.0%, 88.7%, and 86.7%, respectively. The deduction rate exceeded 50.0% in six items, which predominantly concentrated within the primary indicator of the health management and services, among the tertiary indicators. The result of multiple linear regression analysis revealed that smaller enterprises had significantly lower evaluation scores (P<0.05), and domestically funded enterprises scored significantly lower than those with investment from Hong Kong, Macao and Taiwan, or foreign investments (all P<0.05). Conclusion Health management and services represent a weak area in healthy enterprise development in Hubei Province. It was suggested to improve policy incentives and support for medium-, small- and micro-sized enterprises, and domestically funded enterprises, to enhance healthy enterprise development levels.

Objective:This study aims to clarify the role of family and community health environments in improving the health status of elderly patients with chronic diseases,and provide recommendations and references for optimizing and enhancing chronic disease management capabilities.Methods:Based on data from the 2018 China Health and Retirement Longitudinal Study(CHARLS),this study analyzes a sample of 9,388 elderly patients with chronic diseases.A hierarchical linear model(HLM)is employed to examine the effects of family and community health environments on chronic disease management outcomes,as well as their variations across urban-rural settings and disease types.Results:The findings indicate that a supportive family health environment significantly improves both self-rated health(β=0.097,P<0.001)and disease control outcomes(β=0.033,P<0.05)among elderly patients with chronic diseases.In contrast,community health environments contribute positively only to self-rated health(β=0.062,P<0.001)but do not significantly affect disease control outcomes.Moreover,no moderating effect of community health environments was observed on the relationship between family health environments and either self-rated health or disease control.The effects of family and community health environment on self-rated health and control results were different between urban and rural areas,while the effects of family health environment on control results were different in disease types.Conclusion:The explanatory power of the family health environment on the health status of elderly patients with chronic diseases is higher than that of the community health environment.However,the two have not been effectively integrated.It is recommended to incorporate the health needs of elderly patients with chronic diseases into the optimization of healthy family construction and to establish a four-in-one comprehensive chronic disease management system involving"patients,families,communities,and primary healthcare institutions."new models for chronic disease management should be explored and innovated.

Objective To evaluate the safety and efficacy of valve-in-valve transcatheter mitral valve replacement(ViV-TMVR)in patients with bioprosthetic valve degeneration who are at high surgical risk.Methods This study is a multi-center,retrospective cohort analysis of 20 consecutive patients who underwent transseptal ViV-TMVR using the Edwards SAPIEN 3 transcatheter heart valve(THV).The primary endpoints include technical success and procedural success,both defined according to the Mitral Valve Academic Research Consortium(MVARC)criteria,as well as mortality and functional change assessed based on New York Heart Association(NYHA)classification at 30-days and six months post-procedure.Clinical follow-up assessments are conducted at 30-days and six months.Results From February 2021 to October 2022,a total of 20 patients with symptoms of bioprosthetic valve degeneration were enrolled across nine sites in China.The patients had a mean age of(73.5±5.5)years,with 85.0％being females and 70.0％classified as NYHA class Ⅲ/Ⅳ.The study achieved a 100.0％technical success rate and a 90.0％procedural success rate finally.All patients remained alive during the 30-day follow-up period.However,six months post-intervention,two patients(10.0％)were re-hospitalized due to heart failure,and sadly,one of them(5.0％)died.None of the patients reported any adverse events related to ViV-TMVR during the follow-up period.Notably,there was a significant improvement in NYHA class compared to baseline(P=0.0004)at six-month follow-ups.Conclusions The transseptal ViV-TMVR technique proved to be highly successful and was associated with significant improvement in NYHA class function.These findings strongly suggest that it serves as a safe and efficient treatment alternative for high-risk patients suffering from bioprosthetic valve degeneration.

Objective To investigate the effects of ischemia time and storage periods on RNA quality in fresh-frozen breast cancer(BC)and esophageal cancer(EC)tissue samples in order to establish evidence-based protocols for biobank sample management.Methods The tumor(T)and paired normal(N)tissue samples from 6 cases of BC and 6 cases of EC were collected and cryopreserved in Biobank,Shantou Central Hospital.Mirror paraffin-embedded tissues were simultaneously prepared into sections for morphological analysis.The samples were divided into two groups of<15 min and 15-30 min according to ischemia time,and RNA quality was analyzed at 4 storage periods of 8-10 months(T1),14-16 months(T2),26-28 months(T3)and 38-40 months(T4).Results In 96 analyzed samples,93.8%(90/96)exhibited high quality(RIN≥6),with 89.6%(43/48)in BC and 97.9%(47/48)in EC.Significant differences in RIN were observed between BC group and EC group(8.050 vs.8.600,P=0.009).In EC group,RIN value was significantly negatively correlated with RNA yield(P<0.001).Moreover,RIN values of tumor-normal pairs exhibited markedly significant differences(7.550 vs.9.000,P<0.001).In contrast,no significant difference was detected in BC group(8.200 vs.7.700,P=0.348).Statistical analysis showed that RIN value was positively correlated with 28S/18S(P<0.001),but had no correlation with tumor content(P=0.676)and necrotic content(P=0.055).Neither ischemia time(<15 min vs.15-30 min:8.200 vs.8.300,P=0.932)nor storage periods(T1-T4:8.400,7.700,8.450,8.600,P=0.163)compromised RNA quality.Conclusion Organ origin and tissue type could influence RNA quality of fresh-frozen tissue samples.However,limited ischemia time(≤30 min)and long-term storage period(38-40 months)do not adversely affect RNA quality in fresh-frozen breast cancer and esophageal cancer tissue samples.

Purpose To investigate the expression of LAMB3 and ITGB4 in esophageal squamous cell carcinoma(ESCC)and analyze their associations with clinicopathological features.Methods Bioinformatics was used to assess the expression of LAMB3 and ITGB4 in pan-cancer and ESCC.Immunohistochemistry was performed to evaluate their expression and distribution in ESCC tissues,and correlations clinicopathological features were analyzed.Follow-up data were collected to construct Kaplan-Meier survival curves,and Cox regression analysis was proformed to determine their prognostic significance.Results Bioinformatics analysis showed that LAMB3 and ITGB4 were highly expressed in ES-CC tissues(P＜0.001).Immunohistochemistry confirmed that both proteins were localized in the cytoplasm and membrane of tumor cells.High LAMB3 expression was significantly associated with poor differentiation(P＜0.001),lymph node metastasis(P=0.015),and T staging(P＜0.001).High ITGB4 expression was significantly correlated with poor differentiation(P=0.004)and advanced T staging(P=0.004).Cox regression analysis identified high ex-pression of LAMB3 and ITGB4 as independent prognostic factors for overall survival[HR=4.97(95％CI:2.73-9.02);HR=2.33(95％CI:1.36-3.99)].Conclusion LAMB3 and ITGB4 are highly expressed in ESCC.High LAMB3 expression is associated with tumor differentiation,lymph node metastasis,and T staging,while high ITGB4 expression is correlated with tumor differentiation and T staging.Patients with high expression of LAMB3 or ITGB4 have poorer overall survival,suggesting that these proteins may serve as prognostic biomarkers for unfavorable outcome in ESCC.

Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.