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.

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.

Objective To explore the inhibitory effect of guggulsterone(GS)on diethylnitrosamine(DEN)-induced liver fibrosis in rats and its mechanism.Methods DEN-induced liver fibrosis model was established in SD rats.The successful model rats were randomly divided into model group(n=6),GS group(n=6,50 mg/kg,intraperitoneal injection for 4 weeks),GS+SRI group(n=6,50 mg/kg+30 mg/kg,intraperitoneal injection for 4 weeks),and control group(n=6,without DEN-induced).Rats in the control group and the model group were injected with the same amount of normal saline.The pathological changes of the liver were detected by HE staining.Serum liver function indexes including alanine aminotransferase(ALT),aspartate aminotransferase(AST),albumin(ALB)and alkaline phosphatase(ALP)were detected by automatic biochemical analyzer.The serum levels of pro-collagen Ⅲ(PC-Ⅲ),collagen Ⅳ(Ⅳ-C),hyaluronidase(HA),laminin(LN),malondialdehyde(MDA),reduced glutathione(GSH),superoxide dismutase(SOD),and catalase(CAT)were detected by ELISA assay.The mRNA and protein expression of TGF-β1,Smad2,and p-Smad3/Smad3 were detected by Real-time PCR and Western blotting.Results Compared with the control group,the model group showed typical pathological changes of liver fibrosis;the serum ALB,GSH,SOD and CAT levels were significantly decreased(P＜0.05);the serum levels of ALT,AST,ALP,MDA,PC-Ⅲ,Ⅳ-C,HA,LN and the mRNA expression of TGF-β1,Smad3 and protein expression of TGF-β1,p-Smad3 in liver tissues were significantly increased(P＜0.05).Compared with the model group,the pathological changes of liver fibrosis in the GS group were alleviated,and the serum levels of ALB,GSH,SOD and CAT were significantly increased(P＜0.05),the serum levels of ALT,AST,ALP,MDA,PC-Ⅲ,Ⅳ-C,HA and LN,the mRNA expression of TGF-β1 and Smad3,and protein expression of TGF-β1 and p-Smad3 in liver tissues were significantly decreased(P＜0.05).In addition,after the administration of SRI,TGF-β1 signaling pathway activator,compared with the GS group,the GS+SRI group showed significantly decreased serum ALB,GSH,SOD and CAT levels(P＜0.05),but significantly increased serum levels of ALT,AST,ALP,MDA,PC-Ⅲ,Ⅳ-C,HA and LN as well as the mRNA expression of TGF-β1 and Smad3 and protein expression of TGF-β1 and p-Smad3 in liver tissues(P＜0.05).Therefore,SRI attenuated the anti-fibrotic effect of GS on rats with liver fibrosis.Conclusion GS has certain inhibitory effect on DEN-induced liver fibrosis in rats,and its mechanism may be related to the reduction of oxidative stress level and the inhibition of the activation of TGF-β1/Smad3 signaling pathway.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To investigate the effect of individual pretreatment of preoperative medical multi-dimensional carbohydrates on intraoperative body temperature in elderly patients with hip replacement under general anesthesia. Methods A total of 81 elderly patients who underwent unilateral hip replacement in Yancheng Third People's Hospital from January 2022 to June 2024 were selected as the study subjects,and they were randomly divided into the conventional group and the pretreatment group. Both groups of patients were given routine fasting and drinking restriction before operation,and patients in the pretreatment group were given individual pretreatment of 5 mL/kg medical multi-dimensional carbohydrates 2 hours before anesthesia. The perioperative related indicators,body temperature,intraoperative hypothermia,adverse reactions during the recovery period,and pre-anesthesia gastric antral ultrasound examination results of patients in the two groups were compared. Results There was no statistically significant difference in the surgical time or intraoperative intravenous fluid infusion between the two groups (P>0.05). The anesthesia recovery time,tracheal extubation time and intraoperative bleeding volume of patients in the pretreatment group were significantly shorter/less than those in the conventional group (P<0.05). At 30 minutes,60 minutes and the end of the surgery,the body temperature of patients in the pretreatment group was significantly higher than that in the conventional group (P<0.05),and the incidences of intraoperative hypothermia and shivering in the pretreatment group were significantly lower than those in the conventional group (P<0.05). There was no statistically significant difference in the cross-sectional area (CSA) of gastric antrum,gastric volume (GV) or ratio of gastric volume/weight (GV/W) between the two groups of patients (P>0.05). Conclusion The individual pretreatment of 5 mL/kg medical multi-dimensional carbohydrates before surgery can significantly reduce the incidence of intraoperative hypothermia in elderly patients with hip replacement under general anesthesia,promote anesthesia recovery,reduce intraoperative bleeding volume and adverse reactions,and not increase the risk of reflux aspiration.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the completion rate of tumor evaluation at initial assessment and after neoadjuvant therapy for mid and low rectal cancer patients in the national multicenter real-world database.Methods:The prospective real-world study was conducted. The clinicopathological data of 1 074 patients who underwent surgical treatment for mid and low rectal cancer in 47 national medical institutions, including Peking Union Medical College Hospital et al, from May 12,2023 to May 11,2024 were collected. Observation indicators: (1) clinical characteristics of patients with mid and low rectal cancer; (2) initial colonoscopy and pathologic evaluation of tumors in patients with mid and low rectal cancer; (3) initial imaging evaluation of patients with mid and low rectal cancer; (4) imaging evaluation after neoadjuvant therapy for patients with mid and low rectal cancer. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M( Q1, Q3). Count data were described as absoluter numbers and/or percentages. Results:(1) Clinical characteristics of patients with mid and low rectal cancer. Of the 1 074 patients, there were 713 males and 361 females, aged 63(56,70)years. The body mass index of 1 074 patients was 24(21,26)kg/m 2.For American Society of Anesthesiologists classification, there were 147 cases of stage Ⅰ, 641 cases of stage Ⅱ, 157 cases of stage Ⅲ, 2 cases of stage Ⅳ, and there were 127 cases missing data. (2) Initial colonoscopy and pathologic evaluation of tumors in patients with mid and low rectal cancer. Of the 1 074 patients, there were 787 cases (73.28%) undergoing complete colonoscopy, and there were only 197 cases (18.34%) undergoing immunohistochemical evaluation of all four mismatch repair proteins. (3) Initial imaging evaluation of patients with mid and low rectal cancer. Of the 1 074 patients, there were 842(78.40%) patients completing magnetic resonance imaging (MRI) or ultrasound evaluation, and there were 914(85.10%) patients completing chest, abdomen, and pelvis enhanced computed tomography (CT) evaluation. In the 149 patients completing rectal ultrasound evaluation, there were 122 cases (81.88%) comple-ting T staging evaluation, and there were 81 cases (54.36%) completing N staging evaluation. In the 808 patients completing rectal MRI evaluation, there were 708 cases (87.62%) completing T staging evaluation, and there were 590 cases (73.02%) completing N staging evaluation. (4) Imaging evalua-tion after neoadjuvant therapy for patients with mid and low rectal cancer. Of the 388 patients with neoadjuvant therapy, there were 332 patients (85.57%) completing MRI or ultrasound evaluation, and there were 327 patients (84.28%) completing chest, abdomen, and pelvis enhanced CT evalua-tion. In the 70 patients completing rectal ultrasound evaluation, there were 65 cases (92.86%) com-pleting T staging evaluation, and there were 49 cases (70.00%) completing N staging evaluation. In the 327 patients completing rectal MRI evaluation, there were 246 cases (75.23%) completing T staging, and there were 228 cases (69.72%) completing N staging evaluation. Conclusion:The com-pletion rate of tumor imaging evaluation at initial assessment and after neoadjuvant therapy for mid and low rectal cancer patients on a national scale is relatively good.

Purpose To investigate the expression of chromogranin A(CgA)in gastroenteropancreatic neuroendo-crine neoplasms(GEP-NENs)and its relationship with clinicopathological features.Methods The clinicopathological data of GEP-NENs diagnosed in the Department of Pathology,Beijing Chao-yang Hospital,Capital Medical University from May 2011 to December 2024 were retrospectively analyzed.Immunohistochemical staining was applied to evaluate the expression of CgA,and the patients were divided into CgA(+)group and CgA(-)group.Differences in clinico-pathological features between the 2 groups were compared.Results The age of 229 patients ranged from 21 to 89 years,with an average age of 54.4 years.The most common primary site was the rectum(56.8％,130/229),fol-lowed by the stomach(16.6％,38/229),pancreas(14.4％,33/229),small intestine(6.1％,14/229),and colon(6.1％,14/229).There were 206 cases of single lesion and 23 cases of multiple lesions(number of tumors ≥2).There were 153 cases of G1(66.8％),29 cases of G2(12.7％),7 cases of G3(3.1％),and 40 cases of neuroendocrine carcinoma(NEC,17.5％).The positive rates of CgA in G1,G2,G3,and NEC groups were 37.2％,75.8％,71.4％,and 65.0％,respectively,with statistically significant differences(P＜0.001).The positive rates of CgA in T1,T2,T3,and T4 were 37.2％,83.3％,75.9％,and 57.7％,respectively,with statistically significant differences(P＜0.001).There were significant differences in age,vascular invasion,lymph node metasta-sis,and number of tumors between CgA(+)group and CgA(-)group(P＜0.001),but there was no significant difference in sex,tumor location,Syn,and CD56 expression between the two groups(P=0.595,P=0.098,P=0.173,P=0.557).Conclusion Immunohistochemical antibody CgA is a useful marker for GEP-NENs.CgA positiv-ity may be a poor prognostic factor for GEP-NENs patients.

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.