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.

ObjectiveTo investigate the possible mechanism of action of Xibining Formula （膝痹宁） for cartilage damage in knee osteoarthritis （KOA） through the cyclic guanosine-adenosine monophosphate synthase （cGAS）- stimulator of interferon genes （STING） signaling pathway. MethodsFifty C57BL/6J mice were randomly divided into five groups （10 per group）， sham operation group， KOA model group， low-dose Xibining Formula group， high-dose Xibining Formula group， and high-dose Xibining Formula + agonist group. The KOA models were constructed using the destabilization of the medial meniscus （DMM） method in all groups but the sham surgery group. Two weeks after surgery， the low- and high-dose Xibining Formula groups were administered Xibining Formula at doses of 3.58 g/（kg·d） and 14.32 g/（kg·d） respectively via gavage. The high-dose Xibining Formula + agonist group received 14.32 g/（kg·d） of Xibining Formula via gavage followed by an intraperitoneal injection of Vadimezan （DMXAA） at 25 mg/kg. The sham surgery group and the KOA model group mice were given an equivalent volume of normal saline at 5 ml/（kg·d） via gavage， once daily for four consecutive weeks. Serum levels of tumor necrosis factor-alpha （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） were measured by ELISA； pathological changes in cartilage tissue were observed using hematoxylin-eosin （HE） staining and Safranin O-Fast Green staining. Pathological changes were scored according to the Mankin scoring system； the levels of cartilage tissue matrix regulation-related indicators such as matrix metalloproteinase 3 （MMP3）， matrix metalloproteinase 13 （MMP13）， a disintegrin and metalloproteinase with thrombospondin motifs 5 （ADAMTS）， type-Ⅱ collagen （CⅡ） and aggregated proteoglycan （Aggrecan）， and also cGAS-STING pathway-related protein and mRNA expression levels were detected by Western blot and qPCR methods. ResultsCompared with the sham surgery group， the KOA model group showed severe cartilage edge destruction， significantly increased Mankin scores， significantly decreased protein and mRNA expression levels of COLⅡ and Aggrecan， and significantly increased protein and mRNA expression levels of cGAS， STING， MMP3， MMP13， and ADAMTS5 （P＜0.01）. Compared with the control group， serum level of IL-6， IL-1β， TNF-α in all the intervented groups decreased （P＜0.01）， while compared with high-dose Xibining Formula group， level of IL-6， IL-1β， and TNF-α in low-dose Xibining Formula group and high-dose Xibining Formula + agonist group increased （P＜0.01）. Compared with the KOA model group， all the intervention groups exhibited alleviated cartilage pathological changes， signi-ficantly reduced Mankin scores， significantly increased protein and mRNA expression levels of COLⅡ and Aggrecan， and significantly decreased protein and mRNA expression levels of cGAS， STING， MMP3， MMP13， and ADAMTS5 （P＜0.01）. Compared with high-dose Xibining Formula group， high-dose Xibining Formula + agonist group showed cartilage edge destruction， significantly increased Mankin scores， significantly decreased protein and mRNA expression levels of COLⅡ and Aggrecan， and increased protein and mRNA expression levels of cGAS， STING， MMP3， MMP13， and ADAMTS5 （P＜0.01）. ConclusionXibining Formula may improve KOA cartilage damage by inhibiting the cGAS-STING signaling pathway， decreasing matrix degradation-related proteins， and elevating matrix composition-related proteins.

Intestinal mucositis is a common complication induced by chemotherapy in malignant tumors， which severely compromises the efficacy of chemotherapy and reduces patients’ quality of life. This article systematically reviews the pathological mechanisms underlying chemotherapy-induced intestinal mucositis， encompassing oxidative damage， inflammatory injury， apoptotic damage， disruption of the intestinal barrier， and intestinal dysbiosis. Additionally， it provides a comprehensive summary of current therapeutic strategies for intestinal mucositis， including chemical agents and composite materials， natural products， compound prescription of traditional Chinese medicine， growth factors， blood products， and fecal microbiota transplantation. Future efforts should strengthen multidisciplinary cross-innovation， integrating animal models and large-scale clinical trials to develop highly effective and low-toxicity therapeutic drugs that balance chemotherapy toxicity and antitumor efficacy.

Chemotherapy-induced peripheral neurotoxicity (CIPN) is a severe dose-limiting adverse event of chemotherapy. Presently, the mechanism underlying the induction of CIPN remains unclear, and no effective treatment is available. In this study, through metabolomics analyses, we found that nab-paclitaxel therapy markedly increased serum serotonin [5-hydroxtryptamine (5-HT)] levels in both cancer patients and mice compared to the respective controls. Furthermore, nab-paclitaxel-treated enterochromaffin (EC) cells showed increased 5-HT synthesis, and serotonin-treated Schwann cells showed damage, as indicated by the activation of CREB3L3/MMP3/FAS signaling. Venlafaxine, an inhibitor of serotonin and norepinephrine reuptake, was found to protect against nerve injury by suppressing the activation of CREB3L3/MMP3/FAS signaling in Schwann cells. Remarkably, venlafaxine was found to significantly alleviate nab-paclitaxel-induced CIPN in patients without affecting the clinical efficacy of chemotherapy. In summary, our study reveals that EC cell-derived 5-HT plays a critical role in nab-paclitaxel-related neurotoxic lesions, and venlafaxine co-administration represents a novel approach to treating chronic cumulative neurotoxicity commonly reported in nab-paclitaxel-based chemotherapy.
Paclitaxel/toxicity* ; Animals ; Albumins/adverse effects* ; Serotonin/metabolism* ; Mice ; Humans ; Male ; Female ; Venlafaxine Hydrochloride/therapeutic use* ; Neurotoxicity Syndromes/metabolism* ; Middle Aged ; Schwann Cells/metabolism* ; Peripheral Nervous System Diseases/drug therapy* ; Antineoplastic Agents

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Multi-Dimensional Feature Fusion model named MDFF, which integrates one-dimensional simplified molecular input line entry system sequence features, two-dimensional molecular graph features, and three-dimensional geometric features to enhance drug representations for predicting DDIs. MDFF was trained and validated on two DDI datasets, evaluated across three distinct scenarios, and compared with advanced DDI prediction models using accuracy, precision, recall, area under the curve, and F1 score metrics. MDFF achieved state-of-the-art performance across all metrics. Ablation experiments showed that integrating multi-dimensional drug features yielded the best results. More importantly, we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs. Among 12 real-world adverse drug reaction reports, the predictions of 9 reports were supported by relevant evidence. Additionally, MDFF demonstrated the ability to explain adverse DDI mechanisms, providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

OBJECTIVE: To investigate whether the G protein-coupled estrogen receptor (GPER) can attenuates acute lung injury in mice with exertional heat stroke (EHS) by inhibiting ferroptosis. METHODS: Sixty SPF-grade male C57BL/6 mice were randomly divided into four groups: normal control group (control group), EHS model group (EHS group), dimethyl sulfoxide (DMSO) solvent group (EHS+DMSO group), and GPER-specific agonist G1 group (EHS+G1 group), with 15 mice in each group. All mice underwent 14 days of adaptive training at 24-26 centigrade before modeling, and the EHS model was established using a high-temperature treadmill device. After successful modeling, the mice were allowed to cool naturally at room temperature. In the EHS+G1 group, 40 μg/kg of the GPER-specific agonist G1 was slowly injected intraperitoneally immediately after modeling. In the EHS+DMSO group, 40 μg/kg of DMSO was slowly injected intraperitoneally immediately after modeling. The control group received no treatment. Five hours after modeling, abdominal aortic blood was collected, and lung tissues were harvested after euthanasia. The lung coefficient was calculated to evaluate lung injury. Lung histopathological changes were observed under a light microscope after hematoxylin-eosin (HE) staining, and a lung histopathological score was assigned. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), malondialdehyde (MDA), and Fe²⁺ in lung tissue. Immunofluorescence was used to detect the expression of glutathione peroxidase 4 (GPX4). Real-time polymerase chain reaction (RT-PCR) was used to detect the mRNA expression of GPX4, ferroportin 1 (FPN1), and ferritin heavy chain 1 (FTH1). Western blotting was performed to detect the protein expression of GPX4, FPN1, and FTH1. RESULTS: Compared with the control group, the lung coefficient and lung histopathological score were significantly increased in the EHS group. HE staining showed significant thickening and unevenness of the alveolar septa and alveolar walls, partial alveolar collapse, and extensive erythrocyte, inflammatory cell, and plasma-like material extravasation in the alveolar spaces. Serum levels of TNF-α, IL-1β, MDA, and Fe²⁺ were significantly elevated. Immunofluorescence staining showed a significant decrease in GPX4-positive expression in lung tissue. Western blotting and RT-PCR showed significantly reduced protein and mRNA expression of GPX4, FPN1, and FTH1 in lung tissue. Compared with the EHS group, the EHS+G1 group showed a significant reduction in lung coefficient and lung histopathological score [lung coefficient (mg/g): 3.9±0.1 vs. 4.6±0.3, lung histopathological score: 4.2±0.2 vs. 6.9±0.2, both P < 0.05]. HE staining revealed reduced severity of lung tissue fluid extravasation, inflammatory infiltration, decreased hemorrhage, and less severe alveolar structural damage. Serum levels of TNF-α, IL-1β, MDA, and Fe²⁺ were significantly reduced [TNF-α (ng/L): 44.3±0.2 vs. 64.6±0.3, IL-1β (ng/L): 69.3±0.4 vs. 97.8±0.2, MDA (nmol/L): 2.8±0.3 vs. 3.6±0.5, Fe²⁺ (nmol/L): 0.021±0.004 vs. 0.028±0.004, all P < 0.05]. Immunofluorescence staining showed a significant decrease in GPX4-positive expression in lung tissue (fluorescence intensity: 35.53±2.41 vs. 16.45±0.31, P < 0.05). RT-PCR and Western blotting showed significantly increased mRNA and protein expression of GPX4, FPN1, and FTH1 in lung tissue [mRNA expression: GPX4 mRNA (2^-ΔΔCt): 0.44±0.05 vs. 0.09±0.01, FPN1 mRNA (2^-ΔΔCt): 0.77±0.17 vs. 0.42±0.14, FTH1 mRNA (2^-ΔΔCt): 0.75±0.04 vs. 0.58±0.01; protein expression: GPX4/β-actin: 0.96±0.11 vs. 0.24±0.04, FPN1/β-actin: 1.26±0.21 vs. 0.44±0.14, FTH1/β-actin: 0.27±0.12 vs. 0.15±0.07; all P < 0.05]. However, there were no statistically significant differences in any of the above indicators between the EHS+DMSO group and the EHS group. CONCLUSION Activation of GPER can attenuate EHS-related lung injury in mice, and its mechanism may be related to the activation of the GPX4 signaling pathway and inhibition of ferroptosis.
Animals ; Mice, Inbred C57BL ; Male ; Mice ; Heat Stroke/metabolism* ; Receptors, G-Protein-Coupled ; Ferroptosis ; Receptors, Estrogen ; Acute Lung Injury/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-1beta/metabolism* ; Lung Injury ; Lung/metabolism*

Diabetic nephropathy （DN） is a chronic microvascular complication in diabetic patients and the main cause of end-stage renal disease （ESRD）. Studies have shown that nuclear factor kappa-B （NF-κB） signaling pathway is involved in the pathological process of DN by activating pathological mechanisms such as inflammation， oxidative stress， fibrosis， apoptosis， autophagy， and pyroptosis. Therefore， blocking the transduction of NF-κB signaling pathway can help prevent and treat DN. Currently， western medical treatment involves strategies such as lowering blood sugar， blood pressure， and lipids， as well as using endothelin receptor antagonists， mineralocorticoid receptor antagonists， aldosterone synthase inhibitors， and other drugs， but they still cannot block the pathological process of DN. Traditional Chinese medicine （TCM） offers a simpler and more cost-effective approach that addresses both the symptoms and underlying causes of DN. Recent research has shown promising results in managing DN with TCM， and NF-κB， as a key factor， plays an important role in the prevention and treatment of DN. This article summarized the research results of TCM based on the NF-κB signaling pathway for the treatment of DN in the past five years. It described a variety of TCM extracts， such as polysaccharides， terpenes， phenols， flavonoids， saponins， and alkaloids， as well as TCM compound prescriptions such as Huaiqihuang granules， Astragalus mongholicus Bunge and Panax notoginseng formula， and Danzhi Jiangtang capsules， which regulated the NF-κB signaling pathway and its upstream and downstream factors to block the pathological process of DN. This inhibition aims to prevent renal pathological damage caused by DN and slow down the deterioration of renal function. The article aims to provide new ideas and references for the research and development of drugs for the prevention and treatment of DN.

Objective To analyze the perioperative outcomes of cardiac valve surgery in patients with asymptomatic SARS-CoV-2 infection. Methods The perioperative clinical data of patients receiving heart valve replacement in the Department of Cardiovascular Surgery, the First Affiliated Hospital of University of Science and Technology of China from November 2022 to February 2023 were retrospectively analyzed. According to whether the patients were infected with SARS-CoV-2, they were divided into a non-infected group and an asymptomatic group. The perioperative data of the patients were compared between the two groups, and the effect of asymptomatic infection on the result of heart valve replacement surgery was analyzed. Results A total of 66 patients were enrolled including 36 males and 30 females with a mean age of 58.0±11.1 years. There were 51 patients in the non-infected group and 15 patients in the asymtomatic group. There were 2 patients of mitral valve replacement, 20 patients of aortic valve replacement, 1 patient of double valve replacement, 3 patients of aortic valve replacement with tricuspid valvoplasty, 22 patients of mitral valve replacement and tricuspid valvoplasty, 18 patients of double valve replacement and tricuspid valvoplasty. Asymptomatic infected patients received more emergency surgery than uninfected patients (26.7% vs. 0.0%, P<0.01). There was no statistical difference in the duration of extracorporeal circulation, aortic occlusion, mechanical ventilation time after the surgery, ICU stay, postoperative drainage volume, or postoperative complications between the two groups. Conclusion Perioperative results of cardiac valve surgery in patients with asymptomatic SARS-CoV-2 infection and non-infection are almost the same.

Cannabinoid is a kind of special compound in Cannabis sativa L., with a variety of biological activities, which have been widely used in medicine, food, cosmetics, textile, and other industries. However, Cannabis sativa contains the addictive ingredient Δ9-tetrahydrocannabinol, which also makes the application of Cannabis sativa subject to legal constraints. To prevent the abuse of Cannabis sativa related products and ensure the safety and effectiveness of products, it is very important to establish convenient, efficient, environmentally friendly, and inexpensive analytical methods that can be applied to the cannabinoid components in various matrices. Because of the high structural similarity, the poor stability of cannabinoid structure and the matrix effect in different matrices, the analysis becomes more complicated. At present, there is no unified standard for the quality control of cannabinoids, and there are various analytical methods. Based on the above questions, this paper introduces the classification of cannabinoids, expounds on the analysis methods of cannabinoids in Cannabis sativa plants, biological samples, food, cosmetics, and textiles, and looks forward to the future development direction of cannabinoid analysis methods, to provide useful help for the further development and rational application of Cannabis sativa .