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.

Central nervous system(CNS)degenerative disorders refer to a spectrum of pathological alterations triggered by struc-tural damage to cerebral neural tissues,clinically manifested as diverse neurological dysfunction syndromes,including multiple sclerosis(MS),neurodegenerative diseases(NDs),and ische-mic stroke.The hallmark pathological features of these disorders involve irreversible neuronal damage and decompensation of functional neural networks,ultimately leading to progressive neurological deficits.Notably,with the accelerating global popu-lation aging,the incidence of these diseases has surged signifi-cantly.According to WHO statistics,they now rank among the top three global causes of disability and mortality.Current re-search has confirmed that the pathogenesis of CNS degenerative disorders exhibits high heterogeneity,encompassing multifaceted pathophysiological processes such as genetic predisposition,oxi-dative stress,protein misfolding,and metabolic dysregulation.This intricate pathogenic network not only complicates clinical differential diagnosis but also poses substantial challenges to the development of precision therapeutic strategies.Importantly,re-cent studies have revealed that mitochondrial homeostasis disrup-tion-induced inflammatory cascades(termed mitochondrial in-flammation)play a pivotal regulatory role in neurodegenerative progression.Key molecular mechanisms include impaired mito-phagy,aberrant mitochondrial DNA(mtDNA)release and NL-RP3 inflammasome activation.This review systematically deci-phers the molecular regulatory network of mitochondrial inflam-mation,with a focus on its biological effects in critical pathologi-cal events such as blood-brain barrier disruption,microglial hy-peractivation and neuronal apoptosis.The overarching aim is to provide a theoretical foundation for developing innovative thera-peutic strategies targeting mitochondrial homeostasis restoration.

This study aims to investigate the anti-inflammatory and anti-apoptotic effects of total flavonoids of hawthorn leaves(TFHL)on lipopolysaccharide(LPS)-induced inflammatory injury in rat intestinal epithelial(IEC-6)cells,as well as the underlying mechanisms.An in vitro inflam-mation model was first established by treating IEC-6 cells with lipopolysaccharide(LPS).IEC-6 cells were then incubated with three concentrations of TFHL for 24 h prior to a further 24 h LPS treatment.RT-qPCR was used to quantify mRNA levels of the inflammatory genes COX-2 and iN-OS,while Western blotting was used to assess protein levels of the apoptotic markers Bax,cleaved Caspase-3,Bcl-2,and the JNK/p-JNK signaling pathway.Finally,cells were pretreated with TFHL and/or the JNK inhibitor SP600125 for 24 h before LPS exposure for 24 h,in order to evaluate the combined effects of TFHL and SP600125 on LPS-induced inflammatory cytokine expression and apoptotic protein levels in IEC-6 cells.The results showed that,compared with the LPS group,the mRNA level of COX-2 and iNOS in the 2.5,5.0,10.0 mg/L TFHL group and the Bax and Caspase-3 protein levels decreased significantly(P＜0.01),and the Bcl-2 protein level was significantly higher(P＜0.01),p-JNK protein level and p-JNK/JNK ratio decreased significantly(P＜0.01);compared with the LPS group,the COX-2 and iNOS mRNA levels of the TFHL+LPS group de-creased significantly(P＜0.01),Bax,and Caspase-3 protein levels decreased significantly(P＜0.01),and the level of Bcl-2 protein increased significantly(P＜0.05);compared with the LPS group,the COX-2 and iNOS mRNA levels of the TFHL+SP600125 group decreased significantly(P＜0.01),Bax and Caspase-3 protein levels decreased significantly(P＜0.01),and Bcl-2 protein level increased significantly(P＜0.01).These findings indicate that TFHL exerts anti-inflammato-ry and anti-apoptotic effects in LPS-challenged IEC-6 cells by inhibiting the JNK signaling path-way.

Background and purpose:Internal mammary sentinel lymph node biopsy(IMSLNB)is a minimally invasive diagnostic technique for regional lymph nodes in breast cancer,which can provide accurate lymph staging and guide adjuvant treatment decision,but its clinical application has been controversial.The purpose of this study was to investigate the prognosis of IMSLNB in early breast cancer.Methods:In this study,a retrospective cohort of 7 949 patients with breast cancer from January 1,2016 to December 31,2021 was analyzed.After applying propensity score matching,the patients were divided into IMSLNB group and no-IMSLNB group,and the regional recurrence-free survival(RRFS),local recurrence-free survival(LRFS),distant metastasis-free survival(DMFS),disease-free survival(DFS)and overall survival(OS)of the two groups were compared.This study was approved by the Clinical Research Ethics Committee of the Affiliated Tumor Hospital of Shandong First Medical University(approval number:SDTHEC20130324).Results:A total of 990 patients were included in the final analysis(330 in the IMSLNB group and 660 in the no-IMSLNB group).IMSLN metastasis was found in 54 patients in the IMSLNB group,including 47 patients with axillary lymph node(ALN)metastasis and 7 patients with IMSLN metastasis only.The IMSLN transfer rate was 16.4%.The median follow-up of 41 months showed that the IMSLNB group demonstrated better 3-year DFS[98.4%vs 94.2%,hazard ratio(HR)=0.509;95%CI:0.312-0.828,P=0.007]and 5-year DFS(92.5%vs 87.3%,HR=0.214,95%CI:0.206-0.222,P=0.011)compared with no-IMSLNB group.However,no significant differences were observed in 3-year OS(99.1%vs 99.4%,HR=0.618,95%CI:0.231-1.655,P=0.338)or 5-year OS(98.5%vs 99.1%,HR=0.52,95%CI:0.51-0.53,P=0.392)between the two groups.The 3-year RRFS in the IMSLNB group was better compared with the no-IMSLNB group(99.09%vs 97.73%,HR=0.066;95%CI:0.061-0.071,P=0.048),while no significant differences were observed in 3-year LRFS(99.70%vs 98.19%,HR=0.209;95%CI:0.201-0.217,P=0.130)or DMFS(95.76%vs 96.06%,HR=0.865,95%CI:0.858-0.872,P=0.820)between the two groups.The exploratory subgroup analysis of DFS revealed that patients in the following subgroups could significantly benefit from IM-SLNB(P＜0.05):diagnosis age(≤50 years),premenopausal status,BMI(≤24),lymphovascular invasion(LVI,present),tumor location(lateral),molecular subtype[hormone receptor positive(HR+)/human epidermal growth factor receptor 2 negative(HER2-)],histological type(invasive ductal carcinoma),and axillary lymph node status(positive).Conclusion:IMSLNB can provide more accurate regional lymph node staging for early breast cancer,help optimize adjuvant radiotherapy strategies,and improve patients'DFS and RRFS.It can be promoted as a minimally invasive staging technique for regional lymph nodes.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Objective:To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years.Methods:Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status.Results:The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median ( Q1, Q3) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend ( Ptrend<0.05). Compared with the Q1 group, the β (95% CI) values for testosterone in the Q2, Q3, and Q4 groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95% CI) values for the testosterone/estradiol ratio in the Q2, Q3, and Q4 groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m2). Conclusion:Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Background and purpose:Internal mammary sentinel lymph node biopsy(IMSLNB)is a minimally invasive diagnostic technique for regional lymph nodes in breast cancer,which can provide accurate lymph staging and guide adjuvant treatment decision,but its clinical application has been controversial.The purpose of this study was to investigate the prognosis of IMSLNB in early breast cancer.Methods:In this study,a retrospective cohort of 7 949 patients with breast cancer from January 1,2016 to December 31,2021 was analyzed.After applying propensity score matching,the patients were divided into IMSLNB group and no-IMSLNB group,and the regional recurrence-free survival(RRFS),local recurrence-free survival(LRFS),distant metastasis-free survival(DMFS),disease-free survival(DFS)and overall survival(OS)of the two groups were compared.This study was approved by the Clinical Research Ethics Committee of the Affiliated Tumor Hospital of Shandong First Medical University(approval number:SDTHEC20130324).Results:A total of 990 patients were included in the final analysis(330 in the IMSLNB group and 660 in the no-IMSLNB group).IMSLN metastasis was found in 54 patients in the IMSLNB group,including 47 patients with axillary lymph node(ALN)metastasis and 7 patients with IMSLN metastasis only.The IMSLN transfer rate was 16.4%.The median follow-up of 41 months showed that the IMSLNB group demonstrated better 3-year DFS[98.4%vs 94.2%,hazard ratio(HR)=0.509;95%CI:0.312-0.828,P=0.007]and 5-year DFS(92.5%vs 87.3%,HR=0.214,95%CI:0.206-0.222,P=0.011)compared with no-IMSLNB group.However,no significant differences were observed in 3-year OS(99.1%vs 99.4%,HR=0.618,95%CI:0.231-1.655,P=0.338)or 5-year OS(98.5%vs 99.1%,HR=0.52,95%CI:0.51-0.53,P=0.392)between the two groups.The 3-year RRFS in the IMSLNB group was better compared with the no-IMSLNB group(99.09%vs 97.73%,HR=0.066;95%CI:0.061-0.071,P=0.048),while no significant differences were observed in 3-year LRFS(99.70%vs 98.19%,HR=0.209;95%CI:0.201-0.217,P=0.130)or DMFS(95.76%vs 96.06%,HR=0.865,95%CI:0.858-0.872,P=0.820)between the two groups.The exploratory subgroup analysis of DFS revealed that patients in the following subgroups could significantly benefit from IM-SLNB(P＜0.05):diagnosis age(≤50 years),premenopausal status,BMI(≤24),lymphovascular invasion(LVI,present),tumor location(lateral),molecular subtype[hormone receptor positive(HR+)/human epidermal growth factor receptor 2 negative(HER2-)],histological type(invasive ductal carcinoma),and axillary lymph node status(positive).Conclusion:IMSLNB can provide more accurate regional lymph node staging for early breast cancer,help optimize adjuvant radiotherapy strategies,and improve patients'DFS and RRFS.It can be promoted as a minimally invasive staging technique for regional lymph nodes.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.