Olfactory receptors (ORs) form the largest superfamily of G protein-coupled receptors (GPCRs). Traditionally recognized for their role in the nasal olfactory epithelium, where they mediate the sense of smell, accumulating evidence has firmly established their ectopic expression in non-olfactory tissues, including the intestine, lungs, and kidneys. The intestine, as the primary site for nutrient digestion and absorption, harbors a highly complex chemical environment. To adapt to this environment, the gut employs a sophisticated network of “chemosensors” to monitor luminal contents and maintain homeostasis. Among these sensors, intestinal ORs have emerged as crucial functional components, serving as a molecular bridge that connects environmental chemical signals—such as food-derived odorants—to specific physiological responses. This discovery has significantly deepened our understanding of how dietary flavors and compounds influence intestinal physiology at the molecular level. This review systematically summarizes the expression profiles, ligand classification, and biological functions of ORs within the gastrointestinal tract. Studies indicate that intestinal ORs exhibit distinct spatial distribution patterns across different gut segments and display cell-type specificity, particularly within enterocytes and enteroendocrine cells. These receptors function as versatile sensors capable of recognizing a wide variety of ligands, including exogenous dietary components, gut microbiota metabolites such as short-chain fatty acids, and endogenous small molecules like azelaic acid. Upon activation by specific ligands, intestinal ORs trigger intracellular signaling cascades, primarily involving the AC-cAMP-PKA pathway or calcium influx channels. A major focus of this review is to elucidate the molecular mechanisms by which these receptors regulate the secretion of gut hormones. Activation of specific ORs in enteroendocrine cells has been shown to stimulate the release of hormones such as glucagon-like peptide-1 (GLP-1), peptide YY (PYY), and serotonin (5-HT), thereby modulating systemic energy metabolism, glucose homeostasis, and gastrointestinal motility. Furthermore, the review addresses the critical roles of ORs in immune regulation and pathology. Evidence suggests that specific ORs contribute to the maintenance of intestinal immune homeostasis and may offer protection against inflammation. Beyond their involvement in inflammatory responses, ORs such as Olfr78 have been shown to regulate the differentiation and function of intestinal endocrine cells. Similarly, Olfr544 has been demonstrated to alleviate intestinal inflammation by remodeling the gut microbiome and metabolome. These findings collectively suggest that specific ORs hold promise as therapeutic targets for mitigating intestinal inflammation and maintaining gut homeostasis. Additionally, the review explores the emerging role of ORs in cancer. Although OR expression is often downregulated in tumor tissues compared to normal mucosa, activation of specific ORs by certain ligands can inhibit tumor cell proliferation and migration and induce apoptosis via pathways such as MEK/ERK and p38 MAPK. Conversely, other receptors, such as OR7C1, may serve as biomarkers for cancer-initiating cells. In conclusion, intestinal ORs represent a vital component of the gut’s sensory network. The review also discusses the translational potential of these findings. By elucidating the precise pairing relationships between dietary components and specific ORs, novel therapeutic strategies could be developed. Intestinal ORs may thus emerge as promising targets for nutritional and pharmacological interventions in metabolic diseases, inflammatory bowel diseases, and malignancies.

Diabetes mellitus, characterized by glucose metabolism disorders and marked by insulin deficiency or insulin resistance, has seen a continuous rise in prevalence. In recent years, islet transplantation has matured as a therapeutic approach for diabetes, becoming an important method for glycemic control and the reduction of diabetes-related complications. Donor selection directly influences transplant outcomes, and various research institutions worldwide have proposed multiple scoring systems to optimize donor assessment, such as the University of Alberta scoring system and the North American Islet Donor Score. This article explores the impact of key factors such as donor age, body mass index and ischemia time on islet transplantation. Combining practical experience in pancreatic donor selection from Shanghai Changzheng Hospital, it proposes screening criteria for pancreatic donors suitable for China, aiming to provide new evidence for improving the success rate of islet transplantation.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

BACKGROUND:The diabetic microenvironment can cause excessive M1 polarization of macrophages,and this hyperglycemic inflammatory state can inhibit osteogenic differentiation of bone marrow mesenchymal stem cells,thus affecting the healing of diabetic bone defects.Studies have indicated that mogroside V possesses anti-inflammatory,antioxidant,and hypoglycemic properties.However,its potential to modulate M1 polarization of macrophages and osteogenic differentiation of bone marrow mesenchymal stem cells under high glucose and inflammatory condition remains unclear. OBJECTIVE:To explore the effect of mogroside V on regulating M1 macrophage polarization and its effect on osteogenic differentiation of bone marrow mesenchymal stem cells under high glucose and inflammatory condition. METHODS:Murine diabetic models were established using C57BL/6 mice.Bone marrow-derived macrophages were isolated from tibia and fibula of normal and diabetic mice,and cultured in low-glucose and high-glucose media.Then M1 polarization of bone marrow-derived macrophages was induced using lipopolysaccharide and interferon-γ.Bone marrow-derived macrophages were treated with 160,320,and 640 μmol/L mogroside V.Flow cytometry was employed to determine the proportion of F4/80+CD86+cells.qRT-PCR was utilized to assess mRNA expression levels of inducible nitric oxide synthase,interleukin 1β,and interleukin 6.ELISA was employed to evaluate tumor necrosis factor-α secretion in bone marrow-derived macrophage supernatants.Bone marrow mesenchymal stem cells were isolated from tibia and fibula of C57BL/6 suckling mice,and induced osteogenic differentiation using low-or high-glucose osteogenic induction medium.Bone marrow mesenchymal stem cells were treated with M1 macrophage-conditioned mediums with or without 320 μmol/L mogroside V in osteogenic differentiation process.qRT-PCR was employed to assess the mRNA expression of alkaline phosphatase,Runt-related factor 2,osteocalcin,and osteopontin on day 14 after osteogenic induction.Alizarin red staining and quantitative analysis were conducted to evaluate calcium deposition on day 21 after osteogenic induction. RESULTS AND CONCLUSION:(1)Flow cytometry results showed that with the treatment of 320 and 640 μmol/L mogroside V,the proportion of F4/80+CD86+bone marrow-derived macrophages was significantly lower than that in the high-glucose control group(P<0.05).(2)qRT-PCR results showed that with the treatment of 160,320,and 640 μmol/L mogroside V,the mRNA expression levels of inducible nitric oxide synthase and interleukin 6 were significantly lower than that in the high-glucose control group(P<0.05).With the treatment of 320 and 640 μmol/L mogroside V,the mRNA expression level of interleukin 1β was significantly lower than that in the high-glucose control group(P<0.05).(3)ELISA results exhibited that with the treatment of 160,320,and 640 μmol/L mogroside V,the tumor necrosis factor-α secretion level was significantly lower than that in the high-glucose control group(P<0.05).(4)With the treatment of 320 μmol/L mogroside V,calcium salt deposition was increased in bone marrow mesenchymal stem cells under high glucose and inflammatory conditions(P<0.05),and the mRNA relative expression levels of alkaline phosphatase,Runt-related factor 2,and osteopontin were increased(P<0.05).These findings indicate that mogroside V can promote osteogenic differentiation of bone marrow mesenchymal stem cells by inhibiting the M1 polarization of bone marrow-derived macrophages under high glucose and inflammatory conditions and reducing the generation of inflammatory factors.

Objective:To investigate the influence of different ratios of contrast agent(CA)to saline on image quality of coronary computed tomography angiography(CCTA)in dual-flow injection technique.Methods:A prospective study included 102 patients who were clinically diagnosed as suspected coronary heart disease(CHD)to undergo CCTA scan at Beijing Friendship Hospital,Capital Medical University,between March 2024 and October 2024.Ultimately,90 patients were enrolled,who adopted CA injection protocol of dual-flow injection technique.Patients were randomly divided into three groups using a random number table,with 30 patients in each group.The different ratios of CA to saline were adopted,which were respectively Group A(1:9),Group B(2:8),and Group C(3:7).For the reconstructed images,the computed tomography(CT)values of heart-related anatomical structures,which included superior vena cava,right atrium,right ventricle,left atrium,left ventricle,interventricular septum and each segment of the coronary artery,were measured respectively.At the same time,two radiologists,who possessed over 10 years of diagnostic experience of CCTA examination,conducted subjective evaluations for image quality.For the cases of disagreement,the consensus between them was reached through discussion.Results:In three groups,the total CA doses were respectively(42.75±5.22)ml,(47.08±5.83)ml and(50.64±6.29)ml,and the differences of that among the three groups was statistically significant(F=13.964,P<0.05).The differences of CT values of superior vena cava,right atrium,right ventricle,left atrium,left ventricle and aorta among three groups were significant(F=29.141,24.194,39.308,9.643,8.178,6.881,P<0.05).There were significant differences in the CT values of the proximal,mid,and distal segments of the left anterior descending(LAD),and the proximal and mid segments of the left circumflex(LCx)and right coronary artery(RCA)among three groups(F=7.114,9.106,3.851,6.075,4.025,7.349,5.756,P<0.05).However,there was not statistically significant difference was found among the three groups in the CT value of the distal segments of the LCx and RCA(P>0.05).There were significant differences in the subjective scores for the superior vena cava,right atrium and right ventricle among the three groups(H=8.939,29.105,32.180,P<0.05).The number of cases with 3-4 points at the superior vena cava,right atrium and right ventricle were respectively 25(83.3%),29(96.7%)and 30(100%)in group B,there was no case with 1 point.In addition,the imaging quality of right heart in group B was better than that in group A and C.There were no significant differences at left atrium,left ventricle,and each segment of coronary artery among three groups(P>0.05).Conclusion:For patients with clinically non-extreme body weight,the selection of the ratio(2:8)of CA to saline can effectively show relevantly anatomic structures of heart,and coronary artery vessels,including the right heart system,which belongs to the optimal solution.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

Objective:To Exploring the protective effect of hearing protectors worn by noise workers in the petrochemical industry and the factors affecting the protective effect of hearing protectors.Methods:From June 2021 to July 2023, 929 petrochemical workers were selected as the research subjects through cluster sampling. The noise exposure of workers and the usage of two types of hearing protectors were surveyed through questionnaire surveys and on-site occupational hygiene surveys. The protective effect of hearing protectors were evaluated by testing the PAR of workers. If the noise exposure value of workers minus the PAR value was less than 85 dB (A) , it was considered passed. Otherwise, it was considered not passed. The passing rate of the protective effect test of hearing protectors was analyzed through chi square test and the influencing factors for the effectiveness of workers hearing protectors in test were explored through single factor analysis and logistic regression models.Results:Among the research subjects, 80.5% of workers (748/929) had noise exposure levels greater than 85 dB (A) . The passing rate (80.9%) of the earmuff is greater than that of the earplug (52.6%) , and the median of PAR of the earmuff is 22 (16, 25) , which is greater than that of the earplug 15 (3, 22) dB dB, with a statistically significant difference ( P<0.001) . Univariate analysis and logistic regression models showed that length of service, exposure level to noise, and wearing comfort were the influencing factors of earplug protection effect ( P<0.05) , while wearing comfort was the influencing factor of earmuff protection effect ( P<0.05) . Conclusion:This study indicates that the protective effect of hearing protectors on workers in the petrochemical enterprise is poor, and the protective effect of earmuffs is greater than that of earplugs. Working experience, noise exposure level, and wearing comfort are the influencing factors of earplug protection effect, while wearing comfort is the influencing factor of earplug protection effect.

Objective To investigate the characteristics of epilepsy onset based on the theory of five circuits and six qi in traditional Chinese medicine(TCM).Methods A total of 8 389 epilepsy patients from a community-based natural population cohort study from UK Biobank were included.Frequency and constituent ratio analyses were performed to describe the distribution of epilepsy onset in relation to the five circuits and six qi elements,and statistical inferences were made using chi-square tests.Results The analysis revealed statistically significant differences existed in epilepsy onset across different heavenly stems,earthly branches,recombinant yearly circuit,celestial control and terrestrial effect,and dominant qi(all P＜0.05).From the perspective of circuits,the highest incidence occurred in years corresponding to the"Ji"and"Hai"years,while the lowest incidence was observed in"Bing"and"Mao"years.Years dominated by wood circuit and wind manifestations exhibited the highest incidence,whereas years with cold manifestations showed the lowest incidence,suggesting the liver as the primary pathological site in epilepsy.From the perspective of qi,the third dominant qi was most frequently associated with onset.Regarding presiding and subordinate qi,years with taiyin damp earth presiding and taiyang cold water subordinate had the highest incidence,while years with yangming dry metal presiding and shaoyang monarch fire subordinate had the lowest incidence,indicating that cold-damp years and midsummer periods are potential triggers for epilepsy.Conclusion There is a certain regularity in the epilepsy onset correlated with the features of five circuits and six qi,which can guide prevention and clinical diagnosis and treatment of epilepsy.

Objective To investigate the efficacy and safety of compound cantharidis capsule combined with pemetrexed and platinum-based drugs in the treatment of elderly patients with advanced lungadenocarcinoma.Methods A total of 80 patients with advanced lung adenocarcinoma were retro-spectively selected as the study subjects.According to the treatment regimen,they were divided into chemotherapy group(treated with pemetrexed and platinum-based drugs)and traditional Chinese med-icine combined with chemotherapy group(treated with compound cantharidis capsule combined with-pemetrexed and platinum-based drugs),with 40 cases in each group.The short-term efficacy,serum tumor marker[carcinoembryonic antigen(CEA),carbohydrate antigen 72-4(CA72-4),carbohydrate antigen 125(CA125)]levels,and the incidence of adverse reactions were observed and compared between the two groups.The patients were followed up,and the progression-free survival(PFS)and overall survival(OS)of the two groups were recorded.Results The objective response rate(ORR)and disease control rate(DCR)in the traditional Chinese medicine combined with chemotherapy group were higher than those in the chemotherapy group,with statistically significant differences(P＜0.05).After treatment,the serum CEA,CA72-4 and CA125 levels in both groups were lower than those before treatment,and the levels in the traditional Chinese medicine combined with chemotherapy group were lower than those in the chemotherapy group,with statistically significant differences(P＜0.05).There was no statistically significant difference in the incidence of grade 3 to 4 adverse reac-tions between the two groups(P＞0.05).The progression-free survival rate and overall survival rate in the traditional Chinese medicine combined with chemotherapy group were higher than those in the chemotherapy group,with statistically significant differences(P＜0.05).Conclusion Compound cantharidis capsule combined with pemetrexed and platinum-based drugs can significantly improve the ORR and DCR,reduce serum tumor marker levels,prolong the survival of patients with ad-vanced lung adenocarcinoma,and has good safety.

Objective:To develop habitat radiomics models to predict early treatment responses to the hepatic arterial infusion chemotherapy (HAIC) combined with targeted therapy or immunotherapy in advanced hepatocellular carcinoma (HCC) patients, and to guide clinical diagnosis and treatment.Methods:From October 2021 to Decemeber 2023, at Army Characteristic Medical Center of PLA (Chongqing Daping Hospital) and the First Affiliated Hospital of Chongqing Medical University, 94 patients with advanced HCC who received HAIC combined with targeted therapy or immunotherapy were retrospectively enrolled. According to the treatment results, the patients were divided into response group and non-response group. Univariate and multivariate logistic regression were performed to analyze the clinical data of the patients. Based on contrast-enhanced CT images, tumor habitats were delineated and habitat features were extracted with k-means clustering, and the imaging features of arterial and venous phases were also extracted. The least absolute shrinkage and selection operator (LASSO) was used for dimensionality reduction. Feature selection was performed using LASSO to reduce dimensions, and then the selected features were further refined through stepwise logistic regression analysis.Binary logistic regression models were conducted to develop the habitat radiomics model, arterial phase radiomics model (APRM), venous phase radiomics model (VPRM), clinical data model, as well as the combination of radiomics model and clinical data model to predict early treatment (after 2 treatment cycles) response. Receiver operating characteristic curves (ROC) were plotted, and model performance was evaluated by the area under the curve (AUC), calibration curves, and decision curve. The models were validated through Bootstrap methods (1 000 times). DeLong test was used to compare AUC values.Results:The results of cluster analysis identified 3 characteristic habitats in HCC imaging: low-, medium-, and high-enhancement tumor habitats. The proportion of high-enhancement habitats was higher than that in the non-response group. A predictive model was established based on the proportions of these 3 habitats. Based on the proportion of low-, medium-, and high-enhancement habitats within the tumor, a habitat radiomics model was constructed. After LASSO selection and logistic regression analysis, 3 arterial phase and 3 venous phase radiomic features were selected to build the APRM and VPRM, respectively. Logistic regression analysis identified the following factors for the clinical data model: comorbidities ( OR=0.275, P=0.031), maximum tumor diameter ( OR=1.149, P=0.019), red blood cell count ( OR=0.463, P=0.022), alpha fetoprotein >400 μg/L ( OR=3.452, P=0.017), and tyrosine kinase inhibitor therapy ( OR=3.072, P=0.048). Among the single predictive model′s comparison, the AUC of habitat radiomics model was 0.860 (95% confidence interval(95% CI): 0.789 to 0.932), while those of the APRM、VPRM and clinical data model were 0.850 (95% CI: 0.773 to 0.926), 0.855 (95% CI: 0.782 to 0.928), and 0.774 (95% CI: 0.681 to 0.867), respectively, and there were no statistically significant among these models (all P>0.05). Among the combination models, the AUC of the habitat rediomic-clinical data combination model was 0.881 (95% CI: 0.814 to 0.947); the AUC of arterial phase rediomic-clinical data combination model was 0.897 (95% CI: 0.833 to 0.961); and the AUC of venous phase rediomic-clinical data combination model was 0.888 (95% CI: 0.826 to 0.951), but there were no statistically significant among the 3 models (all P>0.05). The calibration curve showed that the habitat rediomic-clinical data combination model had the most accurate predictive probability. Internal validation showed that the AUC of habitat rediomic-clinical data combination model was 0.848 (95% CI: 0.772 to 0.922), and the predictive performance was better than that of the clinical-data model (0.733 (95% CI: 0.670 to 0.863)). Conclusion:The habitat radiomics model based on enhanced CT can effectively predict early treatment responses to the HAIC combined with targeted therapy or immunotherapy in advanced HCC patients, which provides theoretical basis for individualized treatment in advanced HCC.