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.

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

[Abtract]Nursing safety management is crucial to patient health outcomes,and real-time monitoring and early warning systems play a vital role in enhancing nursing safety and reducing medical incidents.Wearable flexible devices enable non-invasive,continuous monitoring of various physiological parameters and provide timely alerts.These devices not only improve the efficiency and quality of nursing safety management but also offer patients more convenient,accurate,and personalized care services.This article provides a comprehensive review of the application of wearable flexible devices in nursing safety management,examining their application scenarios,advantages,and challenges,and offering insights to facilitate the further integration of this technology into nursing safety practices.

As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

Objective To analyze the clinical characteristics of co-infection of Talaromyces marneffei(TM)and non-tuberculous Mycobacterium(NTM)in human immunodeficiency virus(HIV)-negative patients.Methods Clinical data of 8 HIV-negative patients with co-infection of TM and NTM in a hospital from 2019 to 2022 were co-llected.Clinical manifestations,auxiliary examination,treatment and prognosis were retrospectively analyzed.Results Among the 8 patients,5 were females and 3 were males,with an average age of(52.25±12.31)years old.All patients presented TM and NTM disseminated infection.The major involved organs were lung(100％),lymph nodes(87.5％),and skin(75.0％).Clinical symptoms mainly included cough and expectoration(87.5％),fatigue(62.5％),joint and lumbosacral pains(62.5％),fever(50.0％),as well as skin and soft tissue abscess(50.0％),etc.Anti-interferon-γ(INF-γ)autoantibodies were detected in 4 patients and the results were positive.All 8 patients(100％)had pulmonary lesions,with chest CT mainly showing spots,patches,and striped shadows in both lungs.Among them,7 cases(87.5％)had increased and enlarged mediastinal lymph nodes,4 cases(50.0％)had pleural thickening and pleural effusion,2 cases each(25.0％for each)were accompanied by pulmonary mass shadows,bronchial stenosis,as well as increased and enlarged hilar lymph nodes.One case each(12.5％for each)had pulmonary cavity formation,bronchiectasis,and pericardial effusion.Conclusion The co-infection of TM and NTM in non-HIV patients presents disseminated infection,with multiple clinical symptoms.Chest imaging shows a wide variety of pulmonary lesions.It is prone to miss diagnosis in clinic,and the effect is not ideal after treatment for single pathogen infection.

Objective To analyze the clinical characteristics of co-infection of Talaromyces marneffei(TM)and non-tuberculous Mycobacterium(NTM)in human immunodeficiency virus(HIV)-negative patients.Methods Clinical data of 8 HIV-negative patients with co-infection of TM and NTM in a hospital from 2019 to 2022 were co-llected.Clinical manifestations,auxiliary examination,treatment and prognosis were retrospectively analyzed.Results Among the 8 patients,5 were females and 3 were males,with an average age of(52.25±12.31)years old.All patients presented TM and NTM disseminated infection.The major involved organs were lung(100％),lymph nodes(87.5％),and skin(75.0％).Clinical symptoms mainly included cough and expectoration(87.5％),fatigue(62.5％),joint and lumbosacral pains(62.5％),fever(50.0％),as well as skin and soft tissue abscess(50.0％),etc.Anti-interferon-γ(INF-γ)autoantibodies were detected in 4 patients and the results were positive.All 8 patients(100％)had pulmonary lesions,with chest CT mainly showing spots,patches,and striped shadows in both lungs.Among them,7 cases(87.5％)had increased and enlarged mediastinal lymph nodes,4 cases(50.0％)had pleural thickening and pleural effusion,2 cases each(25.0％for each)were accompanied by pulmonary mass shadows,bronchial stenosis,as well as increased and enlarged hilar lymph nodes.One case each(12.5％for each)had pulmonary cavity formation,bronchiectasis,and pericardial effusion.Conclusion The co-infection of TM and NTM in non-HIV patients presents disseminated infection,with multiple clinical symptoms.Chest imaging shows a wide variety of pulmonary lesions.It is prone to miss diagnosis in clinic,and the effect is not ideal after treatment for single pathogen infection.

[Abtract]Nursing safety management is crucial to patient health outcomes,and real-time monitoring and early warning systems play a vital role in enhancing nursing safety and reducing medical incidents.Wearable flexible devices enable non-invasive,continuous monitoring of various physiological parameters and provide timely alerts.These devices not only improve the efficiency and quality of nursing safety management but also offer patients more convenient,accurate,and personalized care services.This article provides a comprehensive review of the application of wearable flexible devices in nursing safety management,examining their application scenarios,advantages,and challenges,and offering insights to facilitate the further integration of this technology into nursing safety practices.

As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

Objective:To investigate the application of (4R)-4-(3-[ 18F]fluoranyl-5-fluorophenyl)-1-((3-methylpyridin-4-yl)methyl)pyrrolidin-2-one( 18F-SynVesT-1), a synaptic vesicle glycoprotein 2A (SV2A) radioactive tracer, in patients with Alzheimer′s disease (AD). Methods:A total of 20 AD patients (2 males, 18 females, age (66.4±8.1) years) with positive β-amyloid (Aβ) deposition and 20 normal controls (NC; 9 males, 11 females, age (62.6±8.6) years ) without Aβ deposition were retrospectively recruited from Huashan Hospital, Fudan University between December 2021 and December 2022. All of them underwent 18F-SynVesT-1 PET/MR and 18F-Florbetapir (AV45) PET/CT scans. Preprocessing of brain 18F-SynVesT-1 PET images was carried out using statistical parametric mapping (SPM). The differences of the uptke of 18F-SynVesT-1 (synaptic density) between two groups based on ROI were compared by using either the independent-sample t test or Mann-Whitney U test. Spearman rank correlation analysis was performed to assess the relationship between synaptic density and cognitive performance. For voxelwise analysis, a general linear model was constructed to analyze differences in synaptic density between the two groups using the independent-sample t test. Furthermore, a multiple linear regression model was developed to explore the relationship between synaptic density and cognitive performance. Results:Compared to the NC group, the AD group exhibited significant widespread reduction in synaptic density across the cortical regions ( P<0.05, false discovery rate (FDR)-corrected), particularly in the medial temporal lobe (0.84±0.09 vs 1.04±0.09; t=-6.95, P<0.001), lateral temporal lobe (1.15±0.13 vs 1.31±0.08; t=-4.56, P<0.001), and lateral parietal lobe (1.24(1.04, 1.26) vs 1.32(1.23, 1.39); z=-3.25, P=0.001). Moreover, synaptic density in extensive cortical regions showed a positive correlation with mini-mental state examination (MMSE) and Montreal cognitive assessment-basic (MoCA-B) scores ( P<0.05, FDR-corrected). Notably, significant associations were observed between MMSE and MoCA-B scores and synaptic density in the lateral temporal lobe ( rs values: 0.71, 0.74, both P<0.001) and medial temporal lobe ( rs values: 0.71, 0.74, both P<0.001). Conclusions:18F-SynVesT-1 PET imaging is a valuable tool for evaluating synaptic density, specifically in the context of AD. The observed widespread reduction in synaptic density across cortical regions of patients with AD are closely related to cognitive decline.