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.

Short-chain fatty acids （SCFA） are the main metabolic products generated by the fermentation of dietary fiber by gut microbiota. Studies have shown that SCFA not only play a role in energy metabolism， but also act as important signaling molecules， exhibiting a significant potential in alleviating liver and pancreatic fibrosis. The core mechanism of SCFA mainly involves the regulation of various key signaling pathways by activating G protein-coupled receptors and inhibiting the activity of histone deacetylase， thereby suppressing the activation and proliferation of hepatic stellate cell （HSC） and pancreatic stellate cell （PSC）， which is a key link in fibrosis formation. In addition， SCFA can effectively alleviate tissue inflammation response， improve intestinal barrier function， and regulate gut microbiota balance， thus indirectly preventing the process of fibrosis mediated by the “gut-liver/pancreas axis”. Compared with the research on SCFA in liver fibrosis， studies on their role in pancreatic fibrosis are limited. Given that HSC and PSC are highly homologous， the transcription factors and proteins that have been confirmed in liver fibrosis-related studies are also similarly expressed in PSC， suggesting that they may also influence the activation of PSC. This article systematically summarizes the recent advances in the research on SCFA in alleviating liver and pancreatic fibrosis， in order to provide new perspectives for exploring the mechanism of pancreatic fibrosis and developing related interventional strategies.

Objective To analyze the influencing factors for postoperative anastomotic leak (AL) in carcinoma of the esophagus and gastroesophageal junction and construct a nomogram predictive model. Methods The patients who underwent radical esophagectomy at Jinling Hospital Affiliated to Nanjing University School of Medicine from January 2018 to June 2020 were included in this study. Relevant variables were screened using univariate and multivariate logistic regression analyses. A nomogram was then developed to predict the risk factors associated with postoperative AL. The predictive performance of the nomogram was validated using the receiver operating characteristic (ROC) curve. Results A total of 468 patients with carcinoma of the esophagus and gastroesophageal junction were included in the study, comprising 354 males and 114 females, with a mean age of (62.8±7.2) years. The tumors were predominantly located in the middle or lower esophagus, and 51 (10.90%) patients experienced postoperative AL. Univariate logistic regression analysis indicated that age, body mass index (BMI), tumor location, preoperative albumin levels, diabetes mellitus, anastomosis technique, anastomosis site, and C-reactive protein (CRP) levels were potentially associated with AL (P<0.05). Multivariate logistic regression analysis identified age, BMI, tumor location, diabetes mellitus, anastomosis technique, and CRP levels as independent risk factors for AL (P<0.05). A nomogram was developed based on the findings from the multivariate logistic regression analysis. The area under the receiver operating characteristic (ROC) curve was 0.803, indicating a strong concordance between the actual observations and the predicted outcomes. Furthermore, decision curve analysis demonstrated that the newly established nomogram holds significant value for clinical decision-making. Conclusion The predictive model for postoperative AL in patients with carcinoma of the esophagus and gastroesophageal junction demonstrates strong predictive validity and is essential for guiding clinical monitoring, early detection, and preventive strategies.

As new evidence emerges, treatment strategies toward the functional cure of chronic hepatitis B are evolving. In 2019, a panel of national hepatologists published a Consensus Statement on the functional cure of chronic hepatitis B. Currently, an international group of hepatologists has been assembled to evaluate research since the publication of the original consensus, and to collaboratively develop the updated statements. The 2.0 Consensus was aimed to update the original consensus with the latest available studies, and provide a comprehensive overview of the current relevant scientific literatures regarding functional cure of hepatitis B, with a particular focus on issues that are not yet fully clarified. These cover the definition of functional cure of hepatitis B, its mechanisms and barriers, the effective strategies and treatment roadmap to achieve this endpoint, in particular new surrogate biomarkers used to measure efficacy or to predict response, and the appropriate approach to pursuing a functional cure in special populations, the development of emerging antivirals and immunomodulators with potential for curing hepatitis B. The statements are primarily intended to offer international guidance for clinicians in their practice to enhance the functional cure rate of chronic hepatitis B.

Aim To explore the mechanism of rhein in the treatment of IgA nephropathy in rats by impro-ving spleen immune function based on mTORC1 path-way.Methods Thirty-two SD rats were randomly di-vided into control group,model group(IgAN),rhein group(RH)and rapamycin group.The deposition of IgA in mesangial region and pathological changes of spleen and kidney were observed,and the ratio of Th/Ts in spleen was determined by immunohistochemical method.The protein expressions of p-mTOR,p-p70S6k,TGF-β1 and TNF-α in spleen were detected by Western blot.Results Compared with the control group,IgAN group significantly increased urinary sludge red blood cell count,24 hour urinary total pro-tein,serum creatinine,blood urea nitrogen,serum IgA,Th/Ts,p-mtor,p-P70S6K and spleen TNF-αprotein expression levels(P＜0.01),and spleen TGF-β1 protein expression(P＜0.05).IgA deposi-tion in mesangial area of the kidney increased signifi-cantly,and pathological changes were observed in spleen and kidney.Compared with IgAN group,urine sludge red blood cell count,serum IgA,Th/Ts,p-mTOR,p-P70S6K and TNF-α protein expression lev-els in RH and RAPA groups were significantly reduced(P＜0.01).24 hour urinary total protein,blood urea nitrogen,serum creatinine and spleen TGF-β1 protein decreased(P＜0.05),the deposition of IgA in the mesangial region of the kidney decreased,and the pathological changes of spleen and kidney were allevia-ted.There was no significant difference between RH group and RAPA group.Conclusions RH can allevi-ate IgA nephropathy by inhibiting the activity of m-TORC1 pathway in the spleen of IgA nephropathy rats,thereby inhibiting the differentiation of splenic lympho-cytes and reducing the secretion of IgA.

The glymphatic system(GS)is a unique toxic sub-stance clearance system in brain,which is very important for maintaining the microenvironment stability of the central nervous system.The polarization distribution of aquaporin 4(AQP4)lo-cated in the terminal foot of astrocytes affects the function of GS and participates in the pathological progress of many neurodegen-erative diseases,but the detailed regulation mechanism of AQP4 polarization distribution has not been systematically summarized.Therefore,this paper systematically combs the mechanism of reg-ulating the polarization distribution of AQP4 from the perspective of the composition integrity of dystrophin-glycoprotein complex(DGC)and basement membrane foot complex,and summarizes the potential drug and non-drug therapies for targeted regulation of AQP4 polarization distribution at present,aiming at providing new target reference and theoretical basis for targeted regulation of AQP4 polarization to prevent and treat neurodegenerative dis-eases.

Objective:To explore the diagnostic value of cardiac color Doppler ultrasonography for left ventricular hypertrophy(LVH)complicated left heart failure(LHF).Methods:A total of 117 LVH patients complicated LHF admitted in Ningde City Hospital Affiliated to Ningde Normal College between January 2019 and January 2023(heart failure group)and 100 healthy people(control group)who underwent general physical examination in our hospital simultaneously were selected for the study.Left ventricular ejection fraction(LVEF),left atrial diameter(LAD),left ventricular end-diastolic diameter(LVEDd),early diastolic peak flow velocity/late diastolic peak flow velocity(E/A)were measured by cardiac color Doppler ultrasound in two groups.Receiver operating charac-teristic(ROC)curve was used to analyze the diagnostic value of cardiac color Doppler ultrasound indexes for LVH complicated LHF.In addition,the 117 patients with LVH and LHF were divided into mild group(n=54)and moderate to severe group(n=63)according to cardiac function class.Spearman correlation analysis was used to an-alyze the associationof cardiac color ultrasound parameters with cardiac function class.Results:Compared with par-ticipants in control group,those in heart failure group had significant lower LVEF[(47.88±4.75)％ vs.(69.81±5.64)％],and significant higher LAD[(44.03±4.88)mm vs.(27.56±2.76)mm vs.],LVEDd[(55.68±5.04)mm vs.(42.19±1.38)mm],E/A[(13.04±3.58)vs.(6.60±1.67)](P＜0.001 all).ROC analysis indicated that the area under the curve(AUC)of the combination of various parameters of cardiac ultrasound for diagnosing LVH with LHF was significantly higher than those of the single tests(Combined detection:AUC=0.901,95％CI 0.853～0.937 vs LVEF:AUC=0.644,95％CI 0.577～0.708,LAD:AUC=0.703,95％CI 0.637～0.763,LVEDd:AUC=0.633,95％CI 0.565～0.697,E/A:AUC=0.748,95％CI 0.685～0.804,Z=7.062,5.764,7.292,4.864,P＜0.001 all).Compared with patients in mild group,those in moderate to severe group had signifi-cant lower LVEF[(45.67±3.37)％ vs.(50.47±4.86)％],and significant higher LAD[(46.31±4.42)mm vs.(41.36±3.98)mm],LVEDd[(60.09±1.75)mm vs.(50.53±1.41)mm]and E/A[(13.99±2.96)vs.(11.93±3.92)](P＜0.01 all).Spearman correlation analysis indicated that LVEF was negatively correlated with cardiac function class(r=-0.474),while LAD(r=0.511),LVEDd(r=0.863),E/A(r=0.269)were positively corre-lated with cardiac function class(P＜0.01 all).Conclusion:Cardiac color Doppler ultrasound could better diagnose LVH complicated LHF,and also could effectively predict the cardiac function of patients with LVH and LHF.