Objective To explore the effect of Yinchenhao Decoction plus Zexie Decoction on ferroptosis mediated by IRE1 signaling pathway of endoplasmic reticulum stress in NASH mice.Methods Fifty C57BL/6J mice were randomly divided into blank control group,model group,Yinchenhao decoction group,Zexia decoction group and Hefang group,with 10 mice in each group.Except the blank control group,the other groups were fed with high-fat diet.After 20 weeks,Yinchenhao Tang group,Zexia Tang group and Hefang group were respectively given the corresponding drug by intragastric administration,once a day for 8 weeks.HE staining,oil red O staining and Masson staining were used to observe the pathological changes of liver tissue,automatic biochemical analyzer was used to detect blood lipid and liver function indexes,and RT-qPCR was used to detect the mRNA levels of TFR1,FPN,XBP1,Xbp1s and XBP1-dependent UPR target genes.The expressions of GRP78,P-IRE1α,GPX4,TFR1 and FPN proteins in liver were detected by Western Blot,the contents of Fe2+and MDA were detected by colorimetry,SOD activity was detected by WST-8,ROS content was detected by ELISA,and TG content in mouse liver tissue was detected by GPO-PAP.Results Compared with the model group,the NAS scores of Yinchenhao Tang group,Zexia Tang group and Hefang group were significantly reduced,and the effect of Hefang group was more significant.Compared with the blank control group,the liver lipid deposition of model mice was obvious,and the liver lipid deposition of Yinchenhao Tang group,Zexia group and Hefang group were improved to varying degrees,and the effect of Hefang group was more significant.Masson staining results showed that compared with blank control group,liver fibrosis was obvious in model group,Yinchenhao Decoction group,Zexia group and Hefang group,the degree of liver fibrosis was improved,and the effect of Hefang group was more significant.Compared with the blank control group,the levels of serum TC,HDL-C,LDL-C,AST and ALT in the model group were significantly increased,the contents of TG,Fe2+,MDA and ROS in the liver were significantly increased,and the activity of SOD was significantly decreased.The mRNA expression levels of Xbp1,Xbp1s,Dnajb9,Edem1,Sec61a1,Bip,Chop and TFR1were significantly up-regulated,the mrna expression levels of FPN were significantly down-regulated,and the protein expression levels of GRP78,P-IREα,GPX4 and TFR1 in liver were significantly increased.The expression level of FPN protein decreased significantly.Compared with model group,the serum levels of TG,TC,LDL-C,AST and ALT in the combined formula group were significantly decreased,the contents of TG,Fe2+,MDA and ROS in the liver of the combined formula group were significantly decreased,and the activity of SOD was significantly increased.The mRNA expression levels of Xbp1,Xbp1s,Dnajb9,Edem1,Sec61a1,Bip,Cho and TFR1 in liver were significantly decreased,the mrna expression level of FPN was significantly increased,and the protein expression levels of GRP78,P-IRE1α,GPX4 and TFR1 in liver were significantly down-regulated.The expression level of FPN protein was significantly up-regulated.Conclusion Yinchenhao Decoction plus Zexie Decoction may ameliorate NASH by inhibiting ferroptosis of hepatocytes through IRE1α pathway of endoplasmic reticulum stress.

Purpose To evaluate the value of tumors invasion in the central airway(TICA)in predicting the severe immune checkpoint inhibitor-related pneumonitis(S-CIP)in lung cancer patients using propensity score matching(PSM).Materials and Methods The intact data of 162 consecutive lung cancer patients who received treatment with immune checkpoint inhibitors in Xi'an International Medical Center Hospital from September 2019 to March 2022 were retrospectively collected.Patients were divided into S-CIP group(23 cases)and non-S-CIP group(139 cases)according to the presence of S-CIP.The demographic information of the patients,including gender,age,history of smoking,thoracic radiotherapy histology,baseline lung diseases,classification,TNM stage,tumor location as well as TICA were collected.A binary Logistic regression was used to analyze the confounding factors and independent risk factors of S-CIP and to predict the development of S-CIP.A 1:1 matching was performed by the nearest neighbor method for PSM.The PSM was used to pair the two groups,and the value of TICA in predicting S-CIP before and after PSM was compared.The receiver operating characteristic curve and the area under the curve were used for model performance based on TICA.Results Before PSM,the proportion of baseline lung diseases(78.3%vs.32.4%,OR=6.802,P=0.001),thoracic radiotherapy history(69.6%vs.30.2%,OR=5.300,P=0.002)and TICA(65.2%vs.27.3%,OR=5.882,P=0.001)in the S-CIP group was higher than those in the non-S-CIP group,and were independent risk factor for predicting S-CIP.After PSM,20 patients were included in each group.The presence of TICA was higher in S-CIP group than that in the non-S-CIP group(60.0%vs.20.0%,OR=6.000,P=0.013).The area under the curves of Logistic regression model based on TICA was 0.700(95%CI 0.534-0.866).Conclusion TICA is an independent risk factor for development of S-CIP,which has moderate degree of accuracy in predicting S-CIP,can be used for risk prediction and early intervention to reduce the poor prognosis of S-CIP patients.

Objective To explore the effect of Yinchenhao Decoction plus Zexie Decoction on ferroptosis mediated by IRE1 signaling pathway of endoplasmic reticulum stress in NASH mice.Methods Fifty C57BL/6J mice were randomly divided into blank control group,model group,Yinchenhao decoction group,Zexia decoction group and Hefang group,with 10 mice in each group.Except the blank control group,the other groups were fed with high-fat diet.After 20 weeks,Yinchenhao Tang group,Zexia Tang group and Hefang group were respectively given the corresponding drug by intragastric administration,once a day for 8 weeks.HE staining,oil red O staining and Masson staining were used to observe the pathological changes of liver tissue,automatic biochemical analyzer was used to detect blood lipid and liver function indexes,and RT-qPCR was used to detect the mRNA levels of TFR1,FPN,XBP1,Xbp1s and XBP1-dependent UPR target genes.The expressions of GRP78,P-IRE1α,GPX4,TFR1 and FPN proteins in liver were detected by Western Blot,the contents of Fe2+and MDA were detected by colorimetry,SOD activity was detected by WST-8,ROS content was detected by ELISA,and TG content in mouse liver tissue was detected by GPO-PAP.Results Compared with the model group,the NAS scores of Yinchenhao Tang group,Zexia Tang group and Hefang group were significantly reduced,and the effect of Hefang group was more significant.Compared with the blank control group,the liver lipid deposition of model mice was obvious,and the liver lipid deposition of Yinchenhao Tang group,Zexia group and Hefang group were improved to varying degrees,and the effect of Hefang group was more significant.Masson staining results showed that compared with blank control group,liver fibrosis was obvious in model group,Yinchenhao Decoction group,Zexia group and Hefang group,the degree of liver fibrosis was improved,and the effect of Hefang group was more significant.Compared with the blank control group,the levels of serum TC,HDL-C,LDL-C,AST and ALT in the model group were significantly increased,the contents of TG,Fe2+,MDA and ROS in the liver were significantly increased,and the activity of SOD was significantly decreased.The mRNA expression levels of Xbp1,Xbp1s,Dnajb9,Edem1,Sec61a1,Bip,Chop and TFR1were significantly up-regulated,the mrna expression levels of FPN were significantly down-regulated,and the protein expression levels of GRP78,P-IREα,GPX4 and TFR1 in liver were significantly increased.The expression level of FPN protein decreased significantly.Compared with model group,the serum levels of TG,TC,LDL-C,AST and ALT in the combined formula group were significantly decreased,the contents of TG,Fe2+,MDA and ROS in the liver of the combined formula group were significantly decreased,and the activity of SOD was significantly increased.The mRNA expression levels of Xbp1,Xbp1s,Dnajb9,Edem1,Sec61a1,Bip,Cho and TFR1 in liver were significantly decreased,the mrna expression level of FPN was significantly increased,and the protein expression levels of GRP78,P-IRE1α,GPX4 and TFR1 in liver were significantly down-regulated.The expression level of FPN protein was significantly up-regulated.Conclusion Yinchenhao Decoction plus Zexie Decoction may ameliorate NASH by inhibiting ferroptosis of hepatocytes through IRE1α pathway of endoplasmic reticulum stress.

Purpose To evaluate the value of tumors invasion in the central airway(TICA)in predicting the severe immune checkpoint inhibitor-related pneumonitis(S-CIP)in lung cancer patients using propensity score matching(PSM).Materials and Methods The intact data of 162 consecutive lung cancer patients who received treatment with immune checkpoint inhibitors in Xi'an International Medical Center Hospital from September 2019 to March 2022 were retrospectively collected.Patients were divided into S-CIP group(23 cases)and non-S-CIP group(139 cases)according to the presence of S-CIP.The demographic information of the patients,including gender,age,history of smoking,thoracic radiotherapy histology,baseline lung diseases,classification,TNM stage,tumor location as well as TICA were collected.A binary Logistic regression was used to analyze the confounding factors and independent risk factors of S-CIP and to predict the development of S-CIP.A 1:1 matching was performed by the nearest neighbor method for PSM.The PSM was used to pair the two groups,and the value of TICA in predicting S-CIP before and after PSM was compared.The receiver operating characteristic curve and the area under the curve were used for model performance based on TICA.Results Before PSM,the proportion of baseline lung diseases(78.3%vs.32.4%,OR=6.802,P=0.001),thoracic radiotherapy history(69.6%vs.30.2%,OR=5.300,P=0.002)and TICA(65.2%vs.27.3%,OR=5.882,P=0.001)in the S-CIP group was higher than those in the non-S-CIP group,and were independent risk factor for predicting S-CIP.After PSM,20 patients were included in each group.The presence of TICA was higher in S-CIP group than that in the non-S-CIP group(60.0%vs.20.0%,OR=6.000,P=0.013).The area under the curves of Logistic regression model based on TICA was 0.700(95%CI 0.534-0.866).Conclusion TICA is an independent risk factor for development of S-CIP,which has moderate degree of accuracy in predicting S-CIP,can be used for risk prediction and early intervention to reduce the poor prognosis of S-CIP patients.

Objective:To investigate the relationship between positive asthma prediction index (API) and single nucleotide polymorphisms (SNPs) of interleukin (IL-13), IL-4, β 2 adrenergic receptor (ADRB2), and type I Fc ε receptor β (FcER1B) genes in asthmatic children.Methods:A prospective study was conducted on 102 asthmatic children under 5 years old admitted to Zhongshan Boai Hospital and Foshan First People′s Hospital (51 cases were API positive and 51 cases were API negative) from January 2020 to August 2023. Oral and buccal mucosal exfoliated cells were collected from the children, and genomic DNA was extracted using magnetic bead method. Four gene loci (IL-13 rs20541, IL-4 rs2243250, ADRB2 rs1042713, FcER1B rs569108) were genotyped using a matrix assisted laser desorption ionization time-of-flight mass spectrometer. Logistic regression analysis was used to evaluate the correlation between SNP typing at these four gene loci and API positivity in asthmatic children.Results:There was a statistically significant difference in the SNP typing and allele distribution frequency of IL-13 rs20541, IL-4 rs2243250, ADRB2 rs1042713, FcER1B rs569108 between the API positive and API negative groups of wheezing children (all P<0.05). Among API positive children, the proportion of IL-13 rs20541 site was higher in GG type, the proportion of IL-4 rs2243250 site was higher in TT type, the proportion of ADRB2 rs1042713 site was higher in AG type, and the proportion of FcER1B rs569108 site was higher in AA type; The results of logistic regression analysis showed that IL-13 rs20541 GG type, IL-4 rs2243250 TT type, FcER1B rs569108 AA type were associated with the risk of API positivity in asthmatic children (all P<0.05). Conclusions:IL-13, IL-4, and FcER1B genes are risk genes for the development of API positive wheezing in children under 5 years old. SNP typing of these genes can be used to evaluate the risk of API positivity in clinical practice.

Purpose To observe the clinical and CT features of severe immune checkpoint inhibitor-related pneumonitis(CIP)in lung cancer patients.Materials and Methods A total of 174 patients with lung cancer who received immune checkpoint inhibitor(PD-1/PD-L1 inhibitors)in Xi'an International Medical Center Hospital from September 1,2019 to March 31,2022 were retrospectively collected.Clinical and imaging features of patients with severe CIP were analyzed.Results There were 23 patients who met the diagnostic criteria of severe CIP.Among them,22 were male patients,15 were younger(＜65 years old),17 had a history of underlying lung disease,16 had a history of chemoradiotherapy and other treatments,and 21 had a history of combined radiotherapy and chemoradiotherapy.The median time from the initiation of immune checkpoint inhibitor to CIP was 128(74,348)days.19 patients were non-small cell carcinoma.CIP occurred in 16 patients with right lung cancer,15 had tumor central airway invasion,14 had radiographic features of diffuse alveolar injury/acute interstitial pneumonia pattern,and 20 died during follow-up.Conclusion Severe CIP is likely to occur in male lung cancer patients with a history of basic medical history and radiotherapy and chemotherapy.The clinical manifestations are varied,and the main imaging features are diffuse alveolar injury/acute interstitial pneumonia pattern,and the prognosis is poor.

Bile acids not only play an important physiological role in regulating lipid metabolism,but also par-ticipate in the regulation of central nervous system.Numerous studies indicated that abnormal bile acid metabolism is closely related to depression,but the exact mechanism remains unclear.This study summarized the relationship between bile acid metabolism and depression and aimed to provide a new perspective for the study and treatment of depression.

Objective To establish a differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern in stable angina pectoris using radiomics.Methods A total of 91 patients with stable angina pectoris who underwent coronary artery CT angiography in Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from January 2021 to January 2022 were collected,including 47 cases of phlegm and blood stasis pattern and 44 cases of qi deficiency and blood stasis pattern.The patients were divided into train set(64 cases)and test set(27 cases)according to the ratio of 7∶3 by stratified random sampling method.3D-slicer software was used to extract the radiomics features of pericoronary adipose tissue(PCAT)images.Principal component analysis was used to visualize the distribution of radiomics features of pattern of phlegm and blood stasis and pattern of qi deficiency and blood stasis.The least absolute shrinkage and selection operator regression analysis and support vector machine decreasing feature elimination were used for feature selection.The multinomial logistics regression was used for model construction.The receiver operating characteristic(ROC)curve was used to verify the model in the train set and the test set to evaluate the effectiveness of the radiomics features in differentiating phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.Finally,Spearman coefficient was used to analyze the correlation between the differential features and clinical physicochemical data.Results A total of 837 radiomics features were extracted from PCAT images by 3D-slicer software.In the principal component analysis,PC1 and PC2 explained 77.9%and 8.1%of the total variance,respectively,and there was a relatively obvious separation trend between the two pattern groups.After feature screening,7 radiomics features were used to construct the differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.The area under the ROC curve(AUC)of the differential model was 0.844 in the train set and 0.834 in the test set.Spearman correlation analysis showed that the differential features were significantly correlated with cTnI,neutrophil,triglyceride,total cholesterol,and leukocyte.Conclusion The CT radiomics model based on PCAT has a high discrimination efficiency for stable angina pectoris with phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.

Objective To analyze the application of intelligent speech follow-up system in sec-ondary prevention of ischemic stroke(IS).Methods A total of 842 IS patients who received intra-venous thrombolysis were randomly divided into intelligent group and artificial group.In the artificial group,corresponding intelligent follow-up templates were developed for the main risk factors affecting the occurrence of IS.The intelligent follow-up system determined the follow-up time and period ac-cording to the reserved information of patients when they were discharged,automatically called out the patients'home conditions for follow-up,and converted the response contents into text mode for out-put.The artificial group was followed up by professionally trained nursing staff,and the follow-up con-tent was the same as that of the intelligent group.Call out,hypertension,diabetes,medication,exer-cise,average call time and satisfaction of follow-up in the two groups were collected.Results The tel-ephone connection rates showed no statistical significances between two groups(P＞0.05).During the follow-up calls,the correct recognition rate of follow-up contents in the intelligent group was low-er,and therateof unwillingness to cooperate and call interruption rate were higher than those in the control group(P＜0.05).There were no statistically significant differences in the percentages of au-tomatic message leaving,inconvenient answering,resident death,family members unable to answer and number error between the two groups(P＞0.05),and there was no statistical significance in the distribution of disconnected calls between the two groups(P＞0.05).In the effective follow-up calls,there was no statistical significance in the answers to questions related to hypertension and diabetes,compliance and exercise between the two groups(P＞0.05).The average call duration in the intel-ligent group was significantly shorter,and follow-up satisfaction was lower than that in the control group(P＜0.05).Conclusion Intelligent voice follow-up system can replace manual telephone follow-up to a certain extent,and help medical staff understand the compliance of home blood pres-sure,blood sugar,medication,exercise and secondary prevention in IS patients,and can save fol-low-up time and improve follow-up efficiency compared with manual follow-up,but its language rec-ognition and improvement of cooperation rate still need to be optimized.

Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a formidable challenge to the world's healthcare systems, wreaking havoc, and spreading rapidly through human contact. With fever, fatigue, and a persistent dry cough being the hallmark symptoms, this disease threatened to destabilize the delicate balance of our global community. Rapid and accurate diagnosis of COVID-19 is a prerequisite for understanding the number of confirmed cases in the world or a region, and an important factor in epidemic assessment and the development of control measures. It also plays a crucial role in ensuring that patients receive the appropriate medical treatment, leading to optimal patient care. Reverse transcription-polymerase chain reaction (RT-PCR) technology is currently the most mature method for detecting viral nucleic acids, but it has many drawbacks. Meanwhile, a variety of COVID-19 detection methods, including molecular biological diagnostic, immunodiagnostic, imaging, and artificial intelligence methods have been developed and applied in clinical practice to meet diverse scenarios and needs. These methods can help clinicians diagnose and treat COVID-19 patients. This review describes the variety of such methods used in China, providing an important reference in the field of the clinical diagnosis of COVID-19.
Humans ; Artificial Intelligence ; China ; COVID-19/diagnosis* ; COVID-19 Testing