Background: Chinese herbal pieces are an essential component of traditional Chinese medicine. Accurate identification and classification of these materials are crucial in clinical practice. Objective: This study aims to enhance the recognition efficiency of Chinese herbal pieces using deep learning technology, while addressing the limitations of traditional manual classification methods in terms of both quality and efficiency. Methods: A comprehensive dataset containing 201 types of Chinese herbal pieces was established. Based on Real-time Detection Transformer (RT-DETR), we designed and integrated a Feature-focused Diffusion Network (FDN), resulting in an improved model termed RT-DETR-FDN. The proposed FDN includes a Feature-focus Module and a feature diffusion mechanism, enabling the model to capture more extensive feature information from Chinese herbal pieces and diffuse it across multiple detection scales. Results: Experimental results show that RT-DETR-FDN achieved a precision of 0.925, a recall of 0.943, and an mAP50-95 of 0.851. In addition, the model was compared with representative You Only Look Once series models commonly used in object detection. Compared with these models, RT-DETR-FDN achieved higher recognition accuracy while maintaining a lightweight architecture. Conclusion: This study integrates deep learning with traditional Chinese medicine, providing a more effective solution for the recognition of Chinese herbal pieces.

ObjectiveOxygen partial pressure (pO₂) is a critical indicator of the tumor microenvironment and plays an essential role in regulating tumor progression and therapeutic response, particularly for oxygen-dependent treatments such as photodynamic therapy (PDT). Although photoacoustic imaging (PAI) has shown great potential for functional and molecular imaging, conventional oxygenation imaging approaches based on hemoglobin absorption mainly provide relative oxygen saturation information and cannot directly quantify tissue oxygen partial pressure. Therefore, this study aimed to develop a fast laser sequence-based pump-probe photoacoustic tomography (PP-PAT) system for quantitative, non-invasive, and dynamic monitoring of oxygen partial pressure in tumor tissues. MethodsThe proposed PP-PAT system was developed based on the oxygen-sensitive triplet-state lifetime characteristics of methylene blue (MB). Upon optical excitation, MB molecules undergo transitions from the ground state to an excited state and subsequently form metastable triplet states through intersystem crossing. The lifetime of the triplet state is strongly affected by surrounding oxygen concentration due to dynamic oxygen quenching, providing a direct correlation between triplet-state kinetics and local oxygen partial pressure. A dual-wavelength pump-probe excitation scheme was implemented to selectively interrogate MB triplet-state dynamics. The pump pulse was used to initiate the triplet-state population, while the delayed probe pulse was applied to detect the transient triplet-state response. By optimizing the temporal interval between the pump and probe pulses, transient triplet-state differential (TTD) signals were extracted to enhance the specificity of oxygen-dependent molecular information and suppress background interference from conventional photoacoustic signals. The performance of the PP-PAT system was systematically evaluated through phantom and in vivo experiments. First, a single-tube phantom containing MB solution was used to investigate signal stability, reproducibility, and the influence of signal averaging on imaging quality. Subsequently, a dual-tube phantom model was established to simulate oxygen consumption during PDT, where one MB-containing tube was exposed to laser irradiation and the other served as a control. Finally, in vivo experiments were performed using a subcutaneous tumor model in nude mice. MB was locally injected into the tumor region before imaging to evaluate the feasibility of tumor oxygen partial pressure mapping using the proposed PP-PAT system. ResultsPhantom experiments demonstrated that the extracted TTD signals exhibited high stability and effectively reflected MB triplet-state dynamics while reducing non-specific background contributions. Signal averaging significantly improved the signal-to-noise ratio, and 50 repeated acquisitions provided an optimal compromise between image quality and acquisition efficiency. In the dual-tube phantom experiments, continuous PDT irradiation induced progressive oxygen depletion in the treated sample. The corresponding TTD decay rate gradually decreased, accompanied by an increase in the calculated triplet-state lifetime, indicating reduced oxygen quenching and decreased oxygen partial pressure. In contrast, the control sample showed relatively stable TTD kinetics and oxygenation levels during the same period. These results demonstrated that PP-PAT could quantitatively characterize oxygen consumption dynamics associated with photochemical reactions. In vivo experiments further demonstrated the capability of PP-PAT for spatially resolved oxygen partial pressure imaging in MB-injected tumor tissues. The reconstructed pO₂ maps revealed heterogeneous oxygen distributions within tumors, showing relatively hypoxic regions in the tumor core and higher oxygenation levels near the tumor boundary. This spatial oxygen distribution pattern was consistent with the typical physiological characteristics of solid tumors, where abnormal vascular structures and limited oxygen diffusion result in intratumoral oxygen gradients. ConclusionThis study presents a fast laser sequence-based PP-PAT system capable of quantitative and non-invasive imaging of tissue oxygen partial pressure. By utilizing the oxygen-dependent triplet-state lifetime of MB and extracting TTD signals, the proposed method provides molecularly specific information related to oxygen dynamics beyond conventional photoacoustic oxygenation imaging. The system enables dynamic monitoring of oxygen consumption during PDT and reveals spatial oxygen heterogeneity within tumors. This technique provides a promising imaging approach for tumor hypoxia characterization, evaluation of oxygen-dependent therapeutic responses, and precision-guided cancer treatment.

Objective Jejunal interposition is an important option for restoring gastrointestinal continuity in patients with complex esophageal cancer in whom the stomach is unavailable for reconstruction due to previous gastrectomy, tumor involvement, failed gastric conduit, or other constraints. Although the jejunum offers a caliber similar to the esophagus, a rich blood supply, and preserved peristaltic function, anatomical variations in mesenteric length and vascular arcades render long-segment and high-level reconstruction susceptible to excessive tension, mesenteric torsion, venous congestion, and inadequate distal perfusion. This consensus aims to provide standardized recommendations for the application of jejunal interposition in this specific patient population. Methods This consensus was developed in accordance with the WHO Handbook for Guideline Development and Chinese national guideline development standards, with reference to the Appraisal of Guidelines for Research & Evaluation Ⅱ(AGREE Ⅱ), Reporting Items for Practice Guidelines in Healthcare (RIGHT), and Scientific, Transparent and Applicable Rankings (STAR) checklists. The project was registered on the international practice guidelines registry platform (PREPARE-2026CN1384). The working group systematically searched Chinese and English evidence addressing 12 clinical questions. Evidence was graded using the Oxford Centre for Evidence-Based Medicine (OCEBM) 2009 system, with structured appraisal of risk of bias, inconsistency, indirectness, and imprecision. Recommendations were formulated through two rounds of Delphi surveys and a face-to-face consensus meeting, with an agreement threshold of ≥75%. Results The consensus generated 12 recommendations covering indications, selection between jejunum and colon, preoperative assessment, surgical approach and reconstruction route, pedicled jejunal interposition (PJI), supercharged pedicled jejunal interposition (SPJ), indocyanine green (ICG) perfusion assessment, perioperative nutrition, management of anastomotic leakage, long-term follow-up, and special treatment scenarios. Given that the available direct evidence is predominantly derived from single-center retrospective cohorts and case series, recommendations extrapolated from general esophagectomy or other gastrointestinal surgical evidence are deliberately phrased with caution. Conclusion Jejunal interposition is a safe and effective approach for digestive tract reconstruction in patients with complex esophageal cancer in whom the stomach is unavailable. This consensus emphasizes that clinical decision-making should be individualized based on the patient's prior treatment history, reconstruction height, vascular anatomy, technical availability, and institutional experience in the Chinese context.

GPR126, also known as ADGRG6, is one of the most deeply studied aGPCRs. Initially, GPR126 was thought to be a receptor associated with muscle development and was primarily expressed in the muscular and skeletal systems. With the deepening of research, it was found that GPR126 is expressed in multiple mammalian tissues and organs, and is involved in many biological processes such as embryonic development, nervous system development, and extracellular matrix interactions. Compared with other aGPCRs proteins, GPR126 has a longer N-terminal domain, which can bind to ligands one-to-one and one-to-many. Its N-terminus contains five domains, a CUB (complement C1r/C1s, Uegf, Bmp1) domain, a PTX (Pentraxin) domain, a SEA (Sperm protein, Enterokinase, and Agrin) domain, a hormone binding (HormR) domain, and a conserved GAIN domain. The GAIN domain has a self-shearing function, which is essential for the maturation, stability, transport and function of aGPCRs. Different SEA domains constitute different GPR126 isomers, which can regulate the activation and closure of downstream signaling pathways through conformational changes. GPR126 has a typical aGPCRs seven-transmembrane helical structure, which can be coupled to Gs and Gi, causing cAMP to up- or down-regulation, mediating transmembrane signaling and participating in the regulation of cell proliferation, differentiation and migration. GPR126 is activated in a tethered-stalk peptide agonism or orthosteric agonism, which is mainly manifested by self-proteolysis or conformational changes in the GAIN domain, which mediates the rapid activation or closure of downstream pathways by tethered agonists. In addition to the tethered short stem peptide activation mode, GPR126 also has another allosteric agonism or tunable agonism mode, which is specifically expressed as the GAIN domain does not have self-shearing function in the physiological state, NTF and CTF always maintain the binding state, and the NTF binds to the ligand to cause conformational changes of the receptor, which somehow transmits signals to the GAIN domain in a spatial structure. The GAIN domain can cause the 7TM domain to produce an activated or inhibited signal for signal transduction, For example, type IV collagen interacts with the CUB and PTX domains of GPR126 to activate GPR126 downstream signal transduction. GPR126 has homology of 51.6%-86.9% among different species, with 10 conserved regions between different species, which can be traced back to the oldest metazoans as well as unicellular animals.In terms of diseases, GPR126 dysfunction involves the pathological process of bone, myelin, embryo and other related diseases, and is also closely related to the occurrence and development of malignant tumors such as breast cancer and colon cancer. However, the biological function of GPR126 in various diseases and its potential as a therapeutic target still needs further research. This paper focuses on the structure, interspecies differences and conservatism, signal transduction and biological functions of GPR126, which provides ideas and references for future research on GPR126.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Objective To explore the association between physical activity levels and metabolic dysfunction-associated fatty liver disease(MAFLD)and the modifying effects of different types of obesity.Methods A cross-sectional study was conducted on 19925 participants recruited from the Chengdu sub-cohort of the Southwest China Natural Population Cohort.The participants were recruited between 2018 and 2019.The association between physical activity and MAFLD prevalence was examined using the inverse probability weighting(IPW)method based on the generalized propensity score(GPS).The odds ratios(OR)and the 95％confidence interval(CI)for moderate and vigorous physical activity were calculated using the mild physical activity group as a reference.A restricted cubic spline function was used to model the exposure-response relationship between physical activity and MAFLD risk.The potential modifying effects of obesity types on the association between physical activity and MAFLD were evaluated in male and female populations.Results The prevalence of MAFLD was 17.30％.Compared to those engaging in mild physical activity,individuals participating in vigorous and moderate physical activities had a lower risk of MAFLD,with OR(95％CI)being 0.76(0.67,0.86)and 0.85(0.76,0.94),respectively.The exposure-response relationship showed a nonlinear association between physical activity and MAFLD risks(Pnonlinearity=0.005).The protective effect of physical activity against MAFLD was observed when physical activity reached approximately 20 METs-h/d.However,when physical activity exceeded 70 METs-h/d,no significant effect on MAFLD risk was observed.Among the female population,obesity type significantly modified the association between physical activity and MAFLD(P＜0.05).In females with central obesity,the protective effect of physical activity on MAFLD showed a threshold effect,with the lowest disease risk observed at approximately 25 METs-h/d.However,physical activity exceeding 37.5 METs-h/d showed no statistically significant association with MAFLD risk.In contrast,for females with peripheral obesity,high levels of physical activity had limited effects on reducing MAFLD risks.Conclusion Moderate physical activity can significantly reduce the risk of MAFLD,and the obesity types can modify this association.It is recommended that individuals engage in approximately 20-70 METs-h/d of physical activity.For females with central obesity,physical activity should not exceed 37.5 METs-h/d,while for females with peripheral obesity,it should not exceed 30 METs-h/d.

Objective To investigate the association between 8 insulin resistance(IR)surrogate markers and incident atherosclerotic cardiovascular disease(ASCVD)in population with cardiovascular-kidney-metabolic syndrome(CKM)of stages 0-3,and to identify the surrogate marker with the best predictive performance.Methods A study was conducted on 20121 community residents classified as CKM stages 0-3 from the Chengdu cohort of the China Multi-Ethic Cohort.A Cox proportional hazards model was used to calculate hazard ratios(HRs)between each IR surrogate marker and incident ASCVD.Cubic spline regression was employed to explore the dose-response relationships between these markers and incident ASCVD.The relative relationships between different markers and incident ASCVD were examined through the ratio of HRs(RHRs).Time-dependent area under the receiver operating characteristic curve(TDAUC)and Uno's C-statistic were calculated to compare the predictive performance of each marker for incident ASCVD.Based on the PREVENT equation components and the 8 surrogate markers under analysis,random forest feature selection was used to determine the contribution of each marker to accurate prediction.Results During a follow-up period of82 741.93 person-years,1447 incident cases of ASCVD were recorded,with an incidence density of 17.49 per 1000 person-years.Association analyses indicated that the triglyceride to high-density lipoprotein cholesterol ratio(TG/HDL)and the TyG/(TG/HDL)index were not associated with incident ASCVD(P＞0.05).The TyG index combined with obesity measurement parameters emerged as a reliable predictor of ASCVD incidence.The most promising indicator,TyG index with waist-to-height ratio(TyG_WHtR),exhibited an inverted J-shaped association with incident ASCVD(P for nonlinearity=0.045;TDAUC=0.640;C=0.634),while the TyG index with body mass index(TyG_BMI),waist circumference(TyG_WC),and waist-to-hip ratio(TyG_WHR)showed positive linear associations(all P for trend＜0.05),with relatively lower predictive performance(C=0.564,0.588,and 0.598,respectively).Although both the TyG index and the metabolic score for insulin resistance(METS-IR)were associated with increased ASCVD risk(TyG:Q2 vs.Q1,HR=1.23 and Q4 vs.Q1,HR=1.24;METS-IR:P for non-linearity=0.045),they exhibited poor predictive performance for incident ASCVD.Conclusion The TyG index combined with obesity measurement parameters is an ideal IR surrogate marker for predicting incident ASCVD in populations with stages 0-3 CKM.Monitoring these markers will facilitate the prevention and control of cardiovascular diseases in CKM populations.

Objective To investigate the association between rest-activity rhythm(RAR)and the risks of rheumatoid arthritis(RA),and to evaluate whether genetic susceptibility modifies this relationship.Methods This prospective cohort study utilized data from the UK Biobank,including 88 060 participants who did not have RA at baseline.RAR parameters(e.g.,relative amplitude)were calculated using data obtained through wrist-worn accelerometers.The participants'genetic susceptibility to RA was assessed using a polygenic risk score.Cox proportional hazards models were employed to analyze the association between RAR and RA risk,with interaction terms incorporated to evaluate the effect modification by genetic susceptibility.Results Over a median follow-up period of 7.97 years,660 incident RA cases were identified.After adjusting for age,sex,ethnicity,educational attainment,Townsend deprivation index,drinking status,smoking status,dietary score,body mass index,and polygenic risk score for incident RA,the dose-response analysis revealed a linear relationship between the RAR-related parameters,including the average amplitude during the most active 10 h(M10),interdaily stability(IS),intradaily variability(IV),and the risk of developing RA(P>0.05).In contrast,relative amplitude and the average amplitude during the least active 5 h(L5)showed a nonlinear relationship with the risk of developing RA(P<0.05).Compared to those in the the highest quartile of relative amplitude,participants in the lowest quartile had a 49%increase in the risk of developing RA(hazard ratio[HR]=1.49;95%CI,1.17-1.90).Compared to those in the lowest quartile,participants in the highest quartile of L5 had a 40%increased risk of developing RA(HR=1.40;95%CI,1.12-1.75).Every time M10 increased by one standard deviation,the risk of developing RA decreased by 12%(HR=0.88;95%CI,0.80-0.96).No evidence of effect modification by genetic susceptibility was observed in the RAR-RA association(P>0.05).Conclusion Disrupted rest-activity rhythm is associated with an increased risk of RA,which is independent of genetic susceptibility to RA.Our findings suggest that improving rest-activity rhythm may help reduce RA risks.

Drug-induced liver injury(DILI)is a common adverse drug reaction in clinical practice,which can lead to acute liver failure and even death in severe cases.In recent years,with the continuous introduction of new drugs and the expansion of their usage,the incidence and mortality rates of DILI have shown an upward trend,posing significant challenges to public health and clinical treatment.Macrophages,as a crucial component of the innate immune system,exhibit high plasticity and heterogeneity.They can polarize into pro-inflammatory M1 type or anti-inflammatory M2 type in response to microenvironmental signals.Research has demonstrated that macrophage polarization plays a central regulatory role in the occurrence and progression of DILI by influencing various processes such as inflammatory responses,cell apoptosis,and tissue repair.This review focuses on elucidating the regulatory mechanisms and roles of macrophage polarization in DILI,providing a theoretical framework for developing precise immunotherapeutic strategies.