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.

Sepsis is a systemic inflammatory response syndrome caused by the invasion of pathogenic microorganisms such as bacteria. In addition to the manifestations of systemic inflammatory response syndrome and primary infection lesions， critical cases often have manifestations of organ hypoperfusion. The morbidity and mortality of sepsis have remained high in recent years， which seriously affect the quality of life of the patients. The pathogenesis of sepsis is complicated， in which uncontrollable inflammation is a key mechanism. The phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway plays a key role in mediating inflammation in sepsis. The available therapies of sepsis mainly include resuscitation， anti-infection， vasoactive drugs， intensive insulin therapy， and organ support， which show limited effects of reducing the mortality. Therefore， finding new therapeutic drugs is a key problem to be solved in the clinical treatment of sepsis. In recent years， studies have shown that traditional Chinese medicine （TCM） can regulate the PI3K/Akt pathway via multiple pathways， multiple effects， and multiple targets to inhibit inflammation and curb the occurrence and development of sepsis， which has gradually become a hot spot in the prevention and treatment of sepsis. Moreover， studies have suggested that TCM has unique advantages in the treatment of sepsis. TCM can regulate the PI3K/Akt signaling pathway to inhibit inflammation， reduce oxidative stress， and control apoptosis in the prevention and treatment of sepsis. Despite the research progress， a systematic review remains to be performed regarding the TCM treatment of sepsis by regulating the PI3K/Akt signaling pathway. After reviewing relevant papers published in recent years， this study systematically summarizes the relationship between PI3K/Akt pathway and sepsis and the role of TCM in the treatment of sepsis， aiming to provide new ideas for the potential treatment of sepsis and the development of new drugs.

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.

Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.

This study aims to observe the mind-tranquilizing effect of Fushen Decoction on mice and investigate its effects on the 5-hydroxytryptamine(5-HT) system and γ-aminobutyric acid(GABA) in the brain of the mouse model of 4-chloro-DL-phenylalanine(PCPA)-induced insomnia. ICR mice were administrated with coffee(1 g·kg~(-1)) for 3 days, and the effects of Fushen Decoction(10, 20, and 40 g·kg~(-1)) on the autonomic activities of normal mice and coffee-treated mice were observed. Furthermore, the effects of Fushen Decoction on the autonomic activity and sleep induced by a suprathreshold dose of pentobarbital sodium in the mouse model of PCPA(350 mg·kg~(-1) for 3 consecutive days)-induced insomnia were observed. The levels of tryptophan hydroxylase(TPH), 5-hydroxytryptophan(5-HTP), and 5-HT in the serum, as well as those of 5-HTP and 5-HT in the brain stem, hippocampus, and cortex, were measured by enzyme-linked immunosorbent assay(ELISA). The fluorescence intensity of 5-HT in the raphe nucleus, hippocampus, and cortex was measured by the immunofluorescence method. The protein levels of tryptophan hydroxylase-2(TPH2) and 5-HT_(1A) receptor(5-HT_(1A)R) in the brain stem, hippocampus, and cortex were measured by Western blot. The levels of GABA in the hypothalamus, hippocampus, and cortex were measured by ELISA and immunohistochemistry methods. The results showed that Fushen Decoction(20, 40 g·kg~(-1)) reduced the number of autonomous activities in normal mice, coffee-treated mice, and the mouse model of PCPA-induced insomnia, and prolonged the duration of sleep induced by a suprathreshold dose of pentobarbital sodium in the mouse model. Fushen Decoction(20, 40 g·kg~(-1)) elevated the levels of TPH, 5-HTP, and 5-HT in the serum, and TPH2, 5-HTP, 5-HT, and 5-HT_(1A)R in the brain stem, hippocampus, and cortex, and up-regulated GABA expression in the hypothalamus, cortex, and hippocampus of the mouse model of PCPA-induced insomnia. In conclusion, Fushen Decoction(20, 40 g·kg~(-1)) exerted a mind-tranquilizing effect on mice by up-regulating the expression of TPH2, enhancing the 5-HT system, and elevating the GABA level in the brain.
Animals ; Serotonin/genetics* ; Sleep Initiation and Maintenance Disorders/genetics* ; Mice ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Mice, Inbred ICR ; gamma-Aminobutyric Acid/genetics* ; Disease Models, Animal ; Fenclonine/adverse effects* ; Tryptophan Hydroxylase/genetics* ; Brain/metabolism* ; Sleep/drug effects* ; Humans ; 5-Hydroxytryptophan/metabolism*

Sanqi is first recorded in the Compendium of Materia Medica(Ben Cao Gang Mu) in the Ming Dynasty. During the Ming and Qing Dynasties, Sanqi, as a precious Dao-di herb, was successively spread and introduced for cultivation. This study verified the germplasm resources, production areas, and spread of Sanqi in the Ming and Qing Dynasties by systematically reviewing the historical materials, such as materia medica works and local chronicles, and the modern distribution of production areas. In the Ming and Qing Dynasties, the original plants of Sanqi included Panax notoginseng, P. japonicus, P. bipinnatifidus, P. zingiberensis, P. stipuleanatus, and Gynura japonica. Among them, the production area of P. notoginseng has changed. From 1578 to 1593, the main production areas of P. notoginseng were Nandan county, Hechi city in Guangxi Zhuang autonomous region and Guangnan county and Funing county, Wenshan prefecture in Yunnan province. From 1683 to 1755, the production areas of P. notoginseng additionally included Yizhou district, Tian'e county, and Huanjiang county in Hechi city, and Tianyang district and Tiandong county in Baise city, Xincheng county and Gongcheng county in Guangxi Zhuang autonomous region. From 1765 to 1892, the production areas additionally included Youjiang district, Debao county, Napo county, and Jingxi city in Baise city, and Tiandeng county in Guangxi Zhuang autonomous region, and Wenshan city, Malipo county, Yanshan county, Xichou county, and Maguan county in Wenshan prefecture, and Baoshan city, Dali prefecture, Lincang city, Honghe prefecture, Mangshi city, and Lushui city in Yunnan province. During the Wanli period of the Ming Dynasty, Sanqi was introduced to Zhejiang province. During the Qianlong period of the Qing Dynasty, it was introduced to Fujian province. During the Daoguang period of the Qing Dynasty, it was introduced to Hunan province. By comprehensively reviewing the materia medica works, local chronicles, and novel historical materials, this study restores the development history of the Sanqi industry in the Ming and Qing Dynasties. Historical data show that the introduction of Dao-di herbs should consider the biological characteristics of medicinal plants and avoid blind introduction.
China ; Drugs, Chinese Herbal/history* ; History, 17th Century ; History, 16th Century ; Plants, Medicinal/chemistry* ; Medicine, Chinese Traditional/history* ; History, 18th Century

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.

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.

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis