ObjectiveTo review the interoceptive assessment tools in terms of structure, content and psychometric properties, based on the framework of the International Classification of Functioning, Disability and Health (ICF). MethodsThe literature on interoceptive evaluation tools was retrieved from databases of CNKI, PubMed, Medline and EBSCO. The principal structures and contents of the assessment tools were analyzed based on the ICF framework, and the quality of the psychometric properties were appraised using COSMIN. ResultsA total of 13 interoceptive assessment tools were ultimately included, involving 16 literature references. There were five interoceptive sensitivity tools, four accuracy tools and four awareness tools. In terms of content, interoceptive sensitivity tools involved 33 categories of body functions, six categories of activities and participation, and one of environmental factors; while interoceptive accuracy tools only involved seven categories of body function, and two of activities and participation items; interoceptive awareness tools involved 30 categories of body function, four categories of activities and participation, and three of environmental factors. In terms of psychometric properties, Body Perception Questionnaire-Short Form (BPQ-SF) was the sensitivity tool with the best reliability and validity (qualified rate of 7/8), followed by Interoceptive Sensitivity Questionnaire (ISQ) (qualified rate of 6/8). Most of the accuracy tools adopted standardized measurement methods, but lacked sufficient reliability and validity verification. The awareness tools were good in reliability and validity (qualified rate above 5/8), especially Multidimensional Assessment of Interoceptive Awareness (MAIA-1) and Body Awareness Questionnaire (BAQ) (qualified rate of 8/8). ConclusionBPQ-SF and ISQ are recommended for interoceptive sensitivity assessment, Water-loading Test and Heart-beat Tracking Task for interoceptive accuracy assessment, and MAIA-1 and BAQ for interoceptive awareness assessment.

Phase Ⅰ clinical trials play a crucial role in the research and development of new drugs, serving as the initial studies to assess their safety, tolerability, effectiveness, and pharmacokinetic properties in humans. These trials involve uncertainties regarding safety and efficacy. Comprehensive management of all aspects of phase Ⅰ clinical trials for anti-tumor drugs is crucial to protect the rights and safety of participants. This article provides an in-depth analysis of the key points and precautions necessary for effective quality control throughout the process. The analysis is informed by guidelines such as the “Good Clinical Practice for Drugs” “Key Points and Judgment Principles for Drug Registration Verification” “Key Points and Judgment Principles for Supervision and Inspection of Drug Clinical Trial Institutions” and the standard operating procedures for quality control of the center. Topics discussed include informed consent, inclusion criteria, experimental drugs, biological samples, adverse events, and serious adverse events. The goal is to standardize quality control in phase Ⅰ clinical trials of anti-tumor drugs, ensure the authenticity and reliability of clinical trial data, and protect the rights and safety of participants.

ObjectiveTo explore the feasibility， evaluation methods and metabolic differences of high-fat diet（HFD） combined with myocardial ischemia-reperfusion injury（MIRI） to establish a rat model of myocardial ischemia-reperfusion with phlegm and blood stasis blocking collaterals syndrome（PBSBCS）. MethodsThirty-two SD rats were randomly divided into the sham operation， HFD， MIRI， and MIRI+HFD groups. Rats in the sham operation and MIRI groups were fed a standard diet（regular chow）， while the HFD and MIRI+HFD groups received a HFD for 10 weeks. Rats in the MIRI and MIRI+HFD groups underwent myocardial ischemia-reperfusion surgery， while the sham operation group underwent only thread placement without ligation. Cardiac function was assessed via small-animal echocardiography， including left ventricular ejection fraction（EF）， left ventricular fractional shortening（FS）， cardiac output（CO）， and stroke volume（SV）. Serum levels of creatine kinase（CK）， CK-MB， triglyceride（TG）， total cholesterol（TC）， high-density lipoprotein cholesterol（HDL-C）， low-density lipoprotein cholesterol（LDL-C）， lactate dehydrogenase（LDH）， endothelin-1（ET-1）， endothelial nitric oxide synthase（eNOS）， tumor necrosis factor-α（TNF-α）， interleukin-18（IL-18）， oxidized LDL（ox-LDL）， and cardiac troponin T（cTnT） were measured by biochemical assays and enzyme-linked immunosorbent assay（ELISA）. Myocardial histopathology was evaluated via hematoxylin-eosin（HE） staining， while myocardial infarction and no-reflow area were assessed using 2，3，5-triphenyltetrazolium chloride（TTC）， Evans blue， and thioflavin staining. Changes in syndrome characteristics［body weight， tongue surface red-green-blue ［RGB］ values， and pulse amplitude］ of PBSBCS were recorded. Serum differential metabolites were analyzed by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）. ResultsCompared with the sham operation group， the HFD and MIRI+HFD groups showed significant increases in body weight（P<0.01）， RGB values and pulse amplitude decreased in the HFD， MIRI and MIRI+HFD groups， TC， TG， LDL-C and ox-LDL levels increased in the HFD and MIRI+HFD groups， while HDL-C decreased. Blood perfusion peak time and myocardial no-reflow area increased， serum eNOS level decreased， and CK-MB， LDH， and cTnT activities increased in the HFD， MIRI and MIRI+HFD groups（P<0.05， P<0.01）. Whole blood viscosity was increased in the HFD group at medium shear rate， and in the MIRI and MIRI+HFD groups at low， medium and high shear rates（P<0.05， P<0.01）. Platelet aggregation rate increased in the MIRI and MIRI+HFD groups， accompanied by elevated ET-1， TNF-α， and IL-18 levels， reduced cardiac function indices， expanded myocardial no-reflow and infarction areas， and increased serum CK， CK-MB， LDH， and cTnT activities（P<0.05， P<0.01）. Compared with the MIRI group， the HFD and MIRI+HFD groups showed significant increase in body weight， TC， TG， LDL-C and ox-LDL levels， and significant decrease in HDL-C content（P<0.01）. The MIRI+HFD group showed decrease in RGB values and pulse amplitude， and an increase in whole blood viscosity， platelet aggregation， blood perfusion peak time， myocardial no-reflow and infarction areas， elevated ET-1， TNF-α and IL-18 levels， decreased eNOS content， EF and SV， increased serum CK， CK-MB and cTnT activities， and worsened myocardial pathology（P<0.05）. Compared with the HFD group， the MIRI+HFD group showed similar aggravated trends（P<0.05， P<0.01）. Metabolomics results showed that 34 potential biomarkers involving 13 common metabolic pathways were identified in the MIRI+HFD group compared with the sham operation group. ConclusionThe MIRI group resembles blood stasis syndrome in hemodynamics and myocardial injury， and the HFD group mirrors phlegm-turbidity syndrome in lipid profiles and tongue characteristics. While the MIRI+HFD group aligns with PBSBCS in comprehensive indices， effectively simulating clinical features of coronary heart disease（CHD）， which can be used for the evaluation of the pathological mechanism and pharmacodynamics of CHD with PBSBCS.

ObjectiveTo explore the feasibility， evaluation methods and metabolic differences of high-fat diet（HFD） combined with myocardial ischemia-reperfusion injury（MIRI） to establish a rat model of myocardial ischemia-reperfusion with phlegm and blood stasis blocking collaterals syndrome（PBSBCS）. MethodsThirty-two SD rats were randomly divided into the sham operation， HFD， MIRI， and MIRI+HFD groups. Rats in the sham operation and MIRI groups were fed a standard diet（regular chow）， while the HFD and MIRI+HFD groups received a HFD for 10 weeks. Rats in the MIRI and MIRI+HFD groups underwent myocardial ischemia-reperfusion surgery， while the sham operation group underwent only thread placement without ligation. Cardiac function was assessed via small-animal echocardiography， including left ventricular ejection fraction（EF）， left ventricular fractional shortening（FS）， cardiac output（CO）， and stroke volume（SV）. Serum levels of creatine kinase（CK）， CK-MB， triglyceride（TG）， total cholesterol（TC）， high-density lipoprotein cholesterol（HDL-C）， low-density lipoprotein cholesterol（LDL-C）， lactate dehydrogenase（LDH）， endothelin-1（ET-1）， endothelial nitric oxide synthase（eNOS）， tumor necrosis factor-α（TNF-α）， interleukin-18（IL-18）， oxidized LDL（ox-LDL）， and cardiac troponin T（cTnT） were measured by biochemical assays and enzyme-linked immunosorbent assay（ELISA）. Myocardial histopathology was evaluated via hematoxylin-eosin（HE） staining， while myocardial infarction and no-reflow area were assessed using 2，3，5-triphenyltetrazolium chloride（TTC）， Evans blue， and thioflavin staining. Changes in syndrome characteristics［body weight， tongue surface red-green-blue ［RGB］ values， and pulse amplitude］ of PBSBCS were recorded. Serum differential metabolites were analyzed by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）. ResultsCompared with the sham operation group， the HFD and MIRI+HFD groups showed significant increases in body weight（P<0.01）， RGB values and pulse amplitude decreased in the HFD， MIRI and MIRI+HFD groups， TC， TG， LDL-C and ox-LDL levels increased in the HFD and MIRI+HFD groups， while HDL-C decreased. Blood perfusion peak time and myocardial no-reflow area increased， serum eNOS level decreased， and CK-MB， LDH， and cTnT activities increased in the HFD， MIRI and MIRI+HFD groups（P<0.05， P<0.01）. Whole blood viscosity was increased in the HFD group at medium shear rate， and in the MIRI and MIRI+HFD groups at low， medium and high shear rates（P<0.05， P<0.01）. Platelet aggregation rate increased in the MIRI and MIRI+HFD groups， accompanied by elevated ET-1， TNF-α， and IL-18 levels， reduced cardiac function indices， expanded myocardial no-reflow and infarction areas， and increased serum CK， CK-MB， LDH， and cTnT activities（P<0.05， P<0.01）. Compared with the MIRI group， the HFD and MIRI+HFD groups showed significant increase in body weight， TC， TG， LDL-C and ox-LDL levels， and significant decrease in HDL-C content（P<0.01）. The MIRI+HFD group showed decrease in RGB values and pulse amplitude， and an increase in whole blood viscosity， platelet aggregation， blood perfusion peak time， myocardial no-reflow and infarction areas， elevated ET-1， TNF-α and IL-18 levels， decreased eNOS content， EF and SV， increased serum CK， CK-MB and cTnT activities， and worsened myocardial pathology（P<0.05）. Compared with the HFD group， the MIRI+HFD group showed similar aggravated trends（P<0.05， P<0.01）. Metabolomics results showed that 34 potential biomarkers involving 13 common metabolic pathways were identified in the MIRI+HFD group compared with the sham operation group. ConclusionThe MIRI group resembles blood stasis syndrome in hemodynamics and myocardial injury， and the HFD group mirrors phlegm-turbidity syndrome in lipid profiles and tongue characteristics. While the MIRI+HFD group aligns with PBSBCS in comprehensive indices， effectively simulating clinical features of coronary heart disease（CHD）， which can be used for the evaluation of the pathological mechanism and pharmacodynamics of CHD with PBSBCS.

To analyze the disease burden of hypertension in the elderly population from 1990 to 2021 and to predict future trends in China and globally, thereby providing insights for public health decision-making regarding older adults with hypertension in China.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by the aggregation of α-synuclein (α-syn) and dysregulated synaptic vesicle (SV) recycling. Emerging evidence suggests that ferroptosis is the target of PD therapy. However, the identification of effective anti-ferroptosis treatments remains elusive. This study explores the therapeutic potential of low-intensity ultrasound (US) in modulating SV recycling and anti-ferroptosis in cellular and animal models of PD. We demonstrate that optimized US stimulation (610 kHz, 0.2 W/cm²) activates Piezo1 channel-mediated fast endophilin-mediated endocytosis, which promotes SV recycling and synaptic function, presenting with increased frequency and amplitude of both spontaneous excitatory synaptic currents and miniature excitatory postsynaptic currents. Repaired SV recycling in turn reduces the accumulation of α-syn expression and ferroptotic cell death. These findings support the potential of noninvasive ultrasonic neuromodulation as a therapeutic strategy for PD and lead to meaningful health outcomes for the aging population.
Animals ; Ferroptosis/physiology* ; Synaptic Vesicles/metabolism* ; Dopaminergic Neurons/metabolism* ; Ion Channels/metabolism* ; Mice ; Ultrasonic Waves ; Humans ; Male ; Mice, Inbred C57BL ; Endocytosis/physiology* ; alpha-Synuclein/metabolism*

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

ObjectiveTo analyze the failure of antiretroviral therapy (ART) and drug resistance characteristics among the newly reported HIV-infected patients in Taizhou City from 2020 to 2022. MethodsBlood samples, sociodemographic characteristics and ART information of the newly reported HIV-infected patients who received ART for ≥6 months in Taizhou City from 2020 to 2022 were collected for the detection of recent infections and HIV-1 genotypic drug resistance. Multivariate logistic regression analysis was used to analyze the influencing factors of treatment failure. The gene sequences of cases with failed ART were submitted to the HIV drug resistance database of Stanford University to determine the drug resistance mutation sites and drug resistance characteristics. ResultsAmong the 1 023 newly reported HIV-infected patients receiving ART, the median age （P₂₅，P₇₅） was 47 (33, 58) years, 81.4% were male, 66.4% (679/1 023) were infected through heterosexual transmission, 74.7% had a WHO clinical stage Ⅰ/Ⅱ, 62.2% had a baseline CD4 count of >200 cell·μL^-1, 94.4% (966/1 023) received an immediate ART, and 78.7% were long-term infected. Among the 66 patients with treatment failure (6.5%), the likelihood of treatment failure was lower in those with homosexual transmission (OR=0.39, 95%CI: 0.17‒0.84) and without history of sexually transmitted disease (STD) (OR=0.45, 95%CI: 0.24‒0.92), but higher in those with a baseline CD4 count of ≤200 cell·μL^-1, delayed ART (OR=3.19, 95%CI: 1.24‒7.52), and primary drug resistance (OR=4.69, 95%CI: 1.68‒11.89). Among the 36 HIV-infected patients with virological failure, 27 sequences were successfully amplified, with a successful amplification rate of 75.0% (27/36). The total drug resistance rate was 55.6% (15/27), of which the drug resistance rates of nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and protease inhibitors (PIs) were 37.0% (10/27), 51.9% (14/27) and 3.7% (1/27), respectively. Among the NNRTIs, the degree of resistance to efavirenz and nevirapine was consistent, with a majority (51.9%) of highly drug-resistant. K103N and M184V were the most common mutation sites, but PIs mutations occured less frequently. A total of 8 genotypes of HIV-1 were detected, in which subtype CRF01_AE accounted for 37.0% (10/27), followed by CRF07_BC [14.8% (4/27)], CRF08_BC [14.8% (4/27)] and subtype C [14.8% (4/27)]. ConclusionDuring the period from 2020 to 2022, the newly reported HIV-infected individuals in Taizhou City were predominated by long-term infections. Immediate initiation of ART can reduce the risk of treatment failure in HIV-infected individuals. Virological treatment failures are primarily associated with resistance to NRTIs and NNRTIs. It is recommended to strengthen active detection and promptly initiate ART to minimize the occurrence of ART failure. Simultaneously, there is a need to intensify drug resistance detection targeted for those with treatment failure, so as to provide a scientific guidance for drug replacement.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective To investigate the epidemiological characteristics and mutation spectrum of monogenic diseases in Chinese population through a large-scale,multicenter carrier screening.Methods This study was conducted among a total of 33 104 participants(16 610 females)from 12 clinical centers across China.Carrier status for 223 genes was analyzed using high-throughput sequencing and different PCR methods.Results The overall combined carrier frequency was 55.58%for 197 autosomal genes and 1.84%for 26 X-linked genes in these participants.Among the 16 669 families,874 at-risk couples(5.24%)were identified.Specifically,584 couples(3.50%)were at risk for autosomal genes,306(1.84%)for X-linked genes,and 16 for both autosomal and X-linked genes.The most frequently detected autosomal at-risk genes included GJB2(autosomal recessive deafness type 1A,393 couples),HBA1/HBA2(α-thalassemia,36 couples),PAH(phenylketonuria,14 couples),and SMN1(spinal muscular atrophy,14 couples).The most frequently detected X-linked at-risk genes were G6PD(G6PD deficiency,236 couples),DMD(Duchenne muscular dystrophy,23 couples),and FMR1(fragile X syndrome,17 couples).After excluding GJB2 c.109G>A,the detection rate of at-risk couples was 3.91%(651/16 669),which was lowered to 1.72%(287/16 669)after further excluding G6PD.The theoretical incidence rate of severe monogenic birth defects was approximately 4.35‰(72.5/16 669).Screening for a battery of the top 22 most frequent genes in the at-risk couples could detect over 95%of at-risk couples,while screening for the top 54 genes further increased the detection rate to over 99%.Conclusion This study reveals the carrier frequencies of 223 monogenic genetic disorders in the Chinese population and provides evidence for carrier screening strategy development and panel design tailored to the Chinese population.In carrier testing,genetic counseling for specific genes or gene variants can be challenging,and the couples need to be informed of these difficulties before testing and provided with options for not screening these genes or gene variants.