Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

ObjectiveTo explore the effects of Kaixuan Jiedu core prescription （KXJD） on sphingolipid metabolism in the mouse model of imiquimod-induced psoriasis-like skin lesions. MethodsThirty-seven male C57BL/6J mice were randomly assigned into five groups： healthy control （n=11）， model （n=11）， methotrexate （MTX， n=5）， low-dose （15.21 g·kg^-1） KXJD （n=5）， and high-dose （30.42 g·kg^-1） KXJD （n=5）. Psoriasis-like skin lesions were induced in mice with 62.5 mg 5% imiquimod cream applied on the back. The KXJD groups and MTX group were treated with 0.2 mL corresponding decoction and MTX， respectively， by gavage daily， while the other groups were given an equal volume of normal saline by the same way. After 5 days of treatment， back skin lesions were collected. Firstly， healthy control and model mice were selected for tandem mass tag （TMT） quantitative proteomics （control vs model=3 vs 3） and targeted lipid metabolomics （control vs model=11 vs 11）. Then， the binding degree between core components and target proteins was predicted via network pharmacology and molecular docking. Finally， an animal experiment was performed to decipher the specific regulation mechanism of KXJD on sphingolipid metabolism. Immunohistochemistry was employed to determine the expression level of sphingosine-1-phosphate （S1P）， and Western blot was employed to determine the expression levels of sphingosine kinase 2 （SPHK2） and monocyte chemotactic protein-1 （MCP-1）. ResultsTMT proteomics and targeted lipid metabolomics suggested that sphingolipid metabolism was active in the psoriatic skin， and key proteases ［serine palmitoyltransferase， long chain base subunit 2 （SPTLC2）， SPHK2， delta（4）-desaturase sphingolipid 1 （Degs1）， and ceramide synthase 4 （CerS4）］ and 8 sphingolipid metabolites （including ceramides， sphingol， sphingomyelin， and glycosphingolipid） expressed abnormally （P<0.05） compared with those in the healthy skin. The molecular docking results indicated that the binding energy between the active components （quercetin， kaempferol， and luteolin） in KXJD and key proteins involved in sphingolipid metabolism was less than-8 kal·mol^-1. Further experimental verification showed elevated expression levels of SPHK2， S1P， and MCP-1 in psoriatic skin compared with healthy skin （P<0.05）， and KXJD down-regulated the expression levels of SPHK2， S1P， and MCP-1 compared with the model group （P<0.05）. ConclusionThis study indicates that there is an imbalance in sphingolipid metabolism in psoriatic skin lesions. KXJD may reduce psoriasis-like lesions in mice by regulating sphingolipid metabolism via the SPHK2/S1P/MCP-1 pathway.

ObjectiveTo explore the effects of Kaixuan Jiedu core prescription （KXJD） on sphingolipid metabolism in the mouse model of imiquimod-induced psoriasis-like skin lesions. MethodsThirty-seven male C57BL/6J mice were randomly assigned into five groups： healthy control （n=11）， model （n=11）， methotrexate （MTX， n=5）， low-dose （15.21 g·kg^-1） KXJD （n=5）， and high-dose （30.42 g·kg^-1） KXJD （n=5）. Psoriasis-like skin lesions were induced in mice with 62.5 mg 5% imiquimod cream applied on the back. The KXJD groups and MTX group were treated with 0.2 mL corresponding decoction and MTX， respectively， by gavage daily， while the other groups were given an equal volume of normal saline by the same way. After 5 days of treatment， back skin lesions were collected. Firstly， healthy control and model mice were selected for tandem mass tag （TMT） quantitative proteomics （control vs model=3 vs 3） and targeted lipid metabolomics （control vs model=11 vs 11）. Then， the binding degree between core components and target proteins was predicted via network pharmacology and molecular docking. Finally， an animal experiment was performed to decipher the specific regulation mechanism of KXJD on sphingolipid metabolism. Immunohistochemistry was employed to determine the expression level of sphingosine-1-phosphate （S1P）， and Western blot was employed to determine the expression levels of sphingosine kinase 2 （SPHK2） and monocyte chemotactic protein-1 （MCP-1）. ResultsTMT proteomics and targeted lipid metabolomics suggested that sphingolipid metabolism was active in the psoriatic skin， and key proteases ［serine palmitoyltransferase， long chain base subunit 2 （SPTLC2）， SPHK2， delta（4）-desaturase sphingolipid 1 （Degs1）， and ceramide synthase 4 （CerS4）］ and 8 sphingolipid metabolites （including ceramides， sphingol， sphingomyelin， and glycosphingolipid） expressed abnormally （P<0.05） compared with those in the healthy skin. The molecular docking results indicated that the binding energy between the active components （quercetin， kaempferol， and luteolin） in KXJD and key proteins involved in sphingolipid metabolism was less than-8 kal·mol^-1. Further experimental verification showed elevated expression levels of SPHK2， S1P， and MCP-1 in psoriatic skin compared with healthy skin （P<0.05）， and KXJD down-regulated the expression levels of SPHK2， S1P， and MCP-1 compared with the model group （P<0.05）. ConclusionThis study indicates that there is an imbalance in sphingolipid metabolism in psoriatic skin lesions. KXJD may reduce psoriasis-like lesions in mice by regulating sphingolipid metabolism via the SPHK2/S1P/MCP-1 pathway.

ObjectiveTo investigate the effect of Shugan Quyu Jiedu prescription （SGQYJDF） on inducing ferroptosis in hepatocellular carcinoma cells based on the tumor protein 53 （p53）/solute carrier family 7 member 11 （SLC7A11）/glutathione peroxidase 4 （GPX4） pathway. MethodMHCC97H cells were divided into the blank serum group （10% blank serum medium）， SGQYJDF-containing serum low concentration group （5% SGQYJDF-containing serum and 5% blank serum medium）， SGQYJDF-containing serum medium concentration group （7.5% SGQYJDF-containing serum and 2.5% blank serum medium）， SGQYJDF-containing serum high concentration group （10% SGQYJDF-containing serum medium） and sorafenib group （sorafenib concentration of 10 μmol·L^-1 in 10% blank serum medium）. After 24 hours of intervention， the cell survival rate was detected by cell counting kit-8 （CCK-8） assay. The cell proliferation ability was detected by 5-ethynyl-2′-deoxyuridine （EdU） staining. The intracellular ferrous ion （Fe²⁺） level was detected by ferrous ion fluorescent probe （FerroOrange） staining. The intracellular malondialdehyde （MDA） and glutathione （GSH） levels were detected by colorimetric assays. The ultrastructure of mitochondria was observed by transmission electron microscopy. The expression levels of ferroptosis-related proteins p53， SLC7A11 and GPX4 were detected by Western blot. ResultIn terms of cell viability， compared with the blank serum group， the SGQYJDF group showed a dose-dependent decrease in the survival rate of MHCC97H cells. Effect of the medium and high concentrations of SGQYJDF on the survival rate of MHCC97H cells were significantly decreased （P<0.01）. Additionally， the results of the EdU assay showed that both the medium and high concentrations of SGQYJDF were able to inhibit the proliferation ability of MHCC97H cells （P<0.05， P<0.01）. Regarding the biochemical indicators of ferroptosis， compared to the blank serum group， the medium and high concentrations of SGQYJDF were able to dose-dependently increase the intracellular Fe²⁺ level （P<0.01）. The low， medium， and high concentrations of SGQYJDF were able to dose-dependently decrease the level of GSH in MHCC97H cells （P<0.01） and increase the level of MDA in the cells （P<0.05， P<0.01）. In terms of pathway-related protein expression， compared to the blank serum group， the medium and high concentrations of SGQYJDF could significantly increase the expression of p53 （P<0.01）. The low， medium， and high concentrations of SGQYJDF could significantly decrease the expression of GPX4 （P<0.01）. The high concentration of SGQYJDF could decrease the expression of SLC7A11 （P<0.01）. In terms of the cell morphology of ferroptosis， compared with the blank serum group， transmission electron microscopy revealed that the low concentration of SGQYJDF caused mitochondrial deformation， while the medium and high concentrations of SGQYJDF resulted in reduced mitochondrial volume， increased double-layer membrane density， and decreased mitochondrial cristae. These features were similar to those of sorafenib-induced ferroptosis. Furthermore， compared with the sorafenib group， the high concentration of SGQYJDF showed no statistically significant differences in cell survival rate， proliferation ability， Fe²⁺ level， MDA level， and GSH level. ConclusionThe results suggest that SGQYJDF may induce ferroptosis and inhibit proliferation in hepatocellular carcinoma MHCC97H cells by upregulating the expression of p53， suppressing the expressions of GPX4 and SLC7A11， downregulating the level of GSH， and leading to the accumulation of intracellular Fe²⁺ and MDA.

ObjectiveTo observe the effect of modified Tianwang Buxindan （MTBD） on the skin of sleep-deprived （SD） mice and investigate its mechanism. MethodSixty 2-month-old female Kunming mice were randomly divided into a blank group， a model group， a vitamin C （VC， 0.08 g·kg^-1）， and MTBD low-， medium-， and high-dose groups （6.5， 12.5， 25 g·kg^-1）. Except for the blank group， the other groups were subjected to SD mouse model induction （using multiple platform water environment method for 18 hours of sleep deprivation daily from 15：00 to next day 9：00）， continuously for 14 days， and caffeine （CAF， 7.5 mg·kg^-1） was injected intraperitoneally from the 2nd week onwards， continuously for 7 days. While modeling， the blank group and the model group were administered with normal saline （0.01 mL·g^-1）， and the other groups received corresponding drugs for treatment. On the day of the experiment， general observations were recorded （such as body weight， spirit， fur， and skin）. After sampling， skin tissue pathological changes were observed under an optical microscope using hematoxylin-eosin （HE） and Masson staining methods. Skin thickness and skin moisture content were measured. Biochemical assay kits were used to detect skin hydroxyproline （HYP） content， skin and serum superoxide dismutase （SOD） activity， and malondialdehyde （MDA） content. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum interleukin （IL）-6， tumor necrosis factor （TNF）-α， and IL-1β levels in mice. Western blot was used to detect skin tissue type Ⅰ collagen （ColⅠ）， type Ⅲ collagen （ColⅢ）， phosphatidylinositol 3-kinase （PI3K）， phosphorylated （p）-PI3K， protein kinase B （Akt）， p-Akt， nuclear factor E₂-related factor 2 （Nrf2）， heme oxygenase （HO）-1， and nuclear factor （NF）-κB protein expression. ResultCompared with the blank group， the model group showed varying degrees of changes. In general， signs of aging such as reduced body weight （P<0.01）， listlessness， dull fur color， and formation of wrinkles on the skin appeared. Tissue specimen testing revealed skin thinning， flattening of the dermoepidermal junction （DEJ）， and reduced collagen fibers under the optical microscope. Skin thickness and moisture content decreased， skin tissue HYP content significantly decreased （P<0.01）， skin and serum SOD activity significantly decreased （P<0.01）， and MDA content significantly increased （P<0.01）. Serum IL-6， TNF-α， and IL-1β levels significantly increased （P<0.01）. Skin ColⅠ， ColⅢ， p-PI3K/PI3K， p-Akt/Akt， Nrf2， and HO-1 protein expression significantly decreased （P<0.05， P<0.01）， and NF-κB expression increased （P<0.01）. Compared with the model group， the VC group and the MTBD low-dose group showed increased skin moisture content， HYP content， SOD activity， and ColⅠ， ColⅢ， p-PI3K/PI3K protein expression （P<0.05， P<0.01）， and decreased serum MDA content （P<0.05）. In addition， a decrease in serum IL-6 and IL-1β levels was detected in the MTBD low-dose group （P<0.05）， while the above indicators in the MTBD medium- and high-dose groups improved （P<0.05， P<0.01）. ConclusionSleep deprivation accelerates the aging process of the skin in SD model mice. MTBD can improve this phenomenon， exerting anti-inflammatory and antioxidant effects， and its mechanism of action may be related to the activation of the PI3K/Akt/Nrf2 signaling pathway.

Objective:To select the differential prognostic lactic acid metabolism-related genes(LRGs)of the head and neck squamous cell carcinoma(HNSCC)to construct the LRGs prognostic model of HNSCC,and to clarify the potential mechanism.Methods:The HNSCC gene expression and clinical data were obtained from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)Databases,the LRGs were identified through GeneCards Database,and R software was used to screen out the LRGs of HNSCC;univariate Cox regression analysis was used to identify prognosis-related genes;two different subtypes were identified based on the prognostis-related LRGs;Kaplan-Meier(K-M)curve analysis was used to compare the prognosis of the patients between two groups;CIBERSORT algorithm was used to perform the immuno-correlation analysis between two groups;multivariate Cox regression analysis and LASSO regression analysis were used to construct the prognostic model;receiver operating characteristic curve(ROC)and K-M survival curve were used to assess the relationship between LRGs and survival and prognosis of the HNSCC patients.The prognostic model was validated by GSE27020,GSE41613,and GSE65858 datasets.The experiment were grouped based on risk score,and immune-related analysis and tumor score analysis were performed.Results:The TCGA Database differential analysis results showed that 1 196 LRGs were identified from HNSCC samples;univariate Cox regression analysis selected 27 differentially expressed genes(DEGs)associated with the prognosis of the HNSCC patients.Two different LRGs subtypes(Group 1 and Group 2)were identified according to the prognosis-related genes.The K-M survival curves results showed that the overall survival(OS)of the patients in Group 2 was significantly higher than that in Group 1,and the immune cell expression amount of the patients in Group 2 was also higher than that in group 1.The multivariate Cox regression and LASSO regression analysis results screened out 9 LRGs,including hypoxanthine phosphoribosyltransferase 1(HPRT1),amyloid precursor protein(APP),glycogen phosphorylase L(PYGL),urokinase-type plasminogen activator(PLAU),cannabinoid receptor 2(CNR2),stanniocalcin 2(STC2),nucleotide binding oligomerization domain-like receptor protein 1(NLRP1),integrin-linked kinase(ILK),and forkhead box B1(FOXB1);the prognostic model was constructed.The K-M and ROC curve results indicated that the expression levels of above 9 genes were associated with the survival and prognosis of the HNSCC patients,providing good 1-year,2-year,and 3-year survival prediction effect,and the area under ROC curve(AUC)values were all greater than 0.650.Furthermore,the predictive ability of the prognosis model was validated in GSE27020,GSE41613,and GSE65858 datasets.The patients classified based on the risk scores had distinguishable immune statuses.Conclusion:The differentially expressed LRGs of HNSCC screened by bioinformatics methods are related to the survival and prognosis of the HNSCC patients;the prognostic model constructed by 9 LRGs can predict the survival status and treatment response of the HNSCC patients.