Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β （TGF-β） regulates cell differentiation， proliferation， apoptosis， and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years， with the continuous exploration of the mechanism of liver cancer， it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine （TCM） provides a unique perspective for the classification， diagnosis， and treatment of liver cancer with its comprehensive regulatory effects of multi-components， multi-targets， and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest， apoptosis， autophagy， et al， while the pro-cancerous mechanisms included promoting cancer cell proliferation， invasion and metastasis， immunosuppression， angiogenesis， et al. The TCM compounds intervening this pathway were sorted out， including Jianpi Huayu compound， Fuyang Baoyuan compound， Yipi Yanggan compound， Fuzheng Jiedu compound， compound Astragalus and Salvia， Biejia Jianwan， Dahuang Zhechong pill， and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea， Dendrobii Caulis， Gleditsia sinensis， and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids， alkaloids， glycosides， phenolics， terpenoids， polysaccharides， and other kinds of compounds. At the same time， it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells， blocking the cell cycle， and inhibiting liver cancer cell proliferation， migration， invasion， angiogenesis， immune escape， etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal， thereby exerting positive anti-tumor effects， opening up a new direction for the precise targeted treatment of liver cancer， and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β （TGF-β） regulates cell differentiation， proliferation， apoptosis， and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years， with the continuous exploration of the mechanism of liver cancer， it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine （TCM） provides a unique perspective for the classification， diagnosis， and treatment of liver cancer with its comprehensive regulatory effects of multi-components， multi-targets， and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest， apoptosis， autophagy， et al， while the pro-cancerous mechanisms included promoting cancer cell proliferation， invasion and metastasis， immunosuppression， angiogenesis， et al. The TCM compounds intervening this pathway were sorted out， including Jianpi Huayu compound， Fuyang Baoyuan compound， Yipi Yanggan compound， Fuzheng Jiedu compound， compound Astragalus and Salvia， Biejia Jianwan， Dahuang Zhechong pill， and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea， Dendrobii Caulis， Gleditsia sinensis， and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids， alkaloids， glycosides， phenolics， terpenoids， polysaccharides， and other kinds of compounds. At the same time， it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells， blocking the cell cycle， and inhibiting liver cancer cell proliferation， migration， invasion， angiogenesis， immune escape， etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal， thereby exerting positive anti-tumor effects， opening up a new direction for the precise targeted treatment of liver cancer， and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.

Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C₀), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug‍-‍drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage* ; Drug Monitoring/methods* ; Humans ; Organ Transplantation ; Immunosuppressive Agents/administration & dosage* ; Delphi Technique

Ethanol (EtOH) is a common trigger for gastric mucosal diseases, and mitigating oxidative stress is essential for attenuating gastric mucosal damage. Capsaicin (CAP) has been identified as a potential agent to counteract oxidative damage in the gastric mucosa; however, its precise mechanism remains unclear. This study demonstrates that CAP alleviates EtOH-induced gastric mucosal injuries through two primary pathways: by suppressing the chemokine receptor 4 (CCR4)/Src/p47phox axis, thereby reducing oxidative stress, and by inhibiting the phosphorylation and nuclear translocation of nuclear factor-κB p65 (NF-κB) p65, resulting in diminished inflammatory responses. These findings elucidate the mechanistic pathways of CAP and provide a theoretical foundation for its potential therapeutic application in the treatment of gastric mucosal injuries.
Ethanol/toxicity* ; Animals ; Gastric Mucosa/metabolism* ; Signal Transduction/drug effects* ; Oxidative Stress/drug effects* ; Capsaicin/pharmacology* ; Male ; NADPH Oxidases/genetics* ; Mice ; Humans ; src-Family Kinases/genetics*

OBJECTIVE: Human brucellosis is a serious public health concern in the Xilingol League, Inner Mongolia; however, the epidemic trends are unclear. METHOD: In this study, Joinpoint regression analysis and spatiotemporal analysis were applied to investigate the epidemic evolution of human brucellosis. RESULT: From 2004 to 2023, a total of 35,747 cases were reported, with an annual average of 1787.35 cases and an annual average incidence rate of 176.04/100,000. The incidence increased from 173.96/100,000 in 2004 to 500.71/100,000 in 2009 and fluctuated to 61.43/100,000 in 2023. Three epidemic join points were observed in which the disease experienced an alternative rise and fall, peaking in 2009 (APC = 21.73, P > 0.001) and 2020 (APC = 21.51, P > 0.001). The disease showed a persistent decline trend in lentitude (AAPC = -5.30, P > 0.001), suggesting challenges in disease control and a higher risk of rebound. The most cases were reported in Xilinhot City ( n = 4,777), followed by 4,391 in Sonid Left Banner, and 4,324 in Abaga Banner. Spatiotemporal analysis revealed two high clusters (CI and CII) from 2005 to 2012, the high cluster encompassing eight counties and shifting from north to south. CONCLUSION The present analysis highlights that human brucellosis has decreased significantly in the Xilingol League, but the epidemic is still severe; further implementation of a strict control program is necessary.
China/epidemiology* ; Humans ; Brucellosis/epidemiology* ; Epidemics ; Spatio-Temporal Analysis ; Incidence ; Cluster Analysis

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective To evaluate the diagnostic value of transrectal contrast-enhanced ultrasound (CEUS) for rectal cancer with intestinal stenosis caused by tumors. Methods Forty-nine patients with rectal cancer underwent transrectal CEUS and magnetic resonance imaging (MRI) before surgery.Intraoperative tumor localization and postoperative pathological results were taken as the gold standard for diagnosis.The differences in T stage,localization,and tumor length of rectal cancer were compared between the two methods. Results The total accuracy rates of transrectal CEUS and MRI in diagnosing T stage were 75.5% (36/49) and 67.3% (33/49),which had no significant difference (χ²=0.8,P=0.371).The total accuracy rates of transrectal CEUS and MRI in judging tumor localization were 79.5% (39/49) and 77.5% (38/49),which had no significant difference (χ²=0.061,P=0.806).The measurement results of tumor length in pathological examination had no significant difference from the transrectal CEUS results (t=1.42,P=0.162) but a significant difference from the MRI results (t=3.38,P=0.001).Furthermore,transrectal CEUS detected 8 (16.3%) cases of colonic polyps among the 49 patients,while MRI did not detect colon lesions. Conclusions Transrectal CEUS has good consistency with MRI in T staging and localization judgement of rectal cancer with intestinal stenosis,and this method can more accurately evaluate the tumor length and simultaneously evaluate whether there is a lesion in the entire colon at the proximal end of stenosis.It can be used as a supplementary examination before rectal cancer treatment in clinical practice.
Humans ; Rectal Neoplasms/complications* ; Male ; Middle Aged ; Female ; Aged ; Contrast Media ; Ultrasonography ; Adult ; Magnetic Resonance Imaging ; Constriction, Pathologic/diagnostic imaging* ; Aged, 80 and over ; Intestinal Obstruction/etiology*

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.