ObjectiveTo explore the pharmacological mechanism involved in the treatment of allergic cough （AC） by Xiaoer Huatan Zhike granules （XEHT） based on proteomics and network pharmacology. MethodsAfter sensitization by intraperitoneal injection of 1 mL suspension containing 2 mg ovalbumin （OVA） and 100 mg aluminum hydroxide， a guinea pig model of allergic cough was constructed by nebulization with 1% OVA. The modeled guinea pigs were randomized into the model， low-， medium- and high-dose （1， 5， 20 g·kg^-1， respectively） XEHT， and sodium montelukast （1 mg·kg^-1） groups （n=6）， and another 6 guinea pigs were selected as the blank group. The guinea pigs in drug administration groups were administrated with the corresponding drugs by gavage， and those in the blank and model groups received the same volume of normal saline by gavage， 1 time·d^-1. After 10 consecutive days of drug administration， the guinea pigs were stimulated by 1% OVA nebulization， and the coughs were observed. The pathological changes in the lung tissue were observed by hematoxylin-eosin staining. The enzyme-linked immunosorbent assay was performed to measure the levels of C-reactive protein （CRP）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， superoxide dismutase （SOD）， and malondialdehyde （MDA） in the bronchoalveolar lavage fluid （BALF） and immunoglobulin G （IgG） and immunoglobulin A （IgA） in the serum. Immunohistochemistry （IHC） was employed to observe the expression of IL-6 and TNF-α in the lung tissue. Transmission electron microscopy was employed observe the alveolar type Ⅱ epithelial cell ultrastructure. Real-time PCR was employed to determine the mRNA levels of IL-6， interleukin-1β （IL-1β）， and TNF-α in the lung tissue. Label-free proteomics was used to detect the differential proteins among groups. Network pharmacology was used to predict the targets of XEHT in treating AC. The Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis was performed to search for the same pathways from the results of proteomics and network pharmacology. ResultsCompared with the blank group， the model group showed increased coughs （P<0.01）， elevated levels of CRP， TNF-α， IL-6， and MDA and lowered level of SOD in the BALF （P<0.05， P<0.01）， elevated levels of IgA and IgG in the serum （P<0.05， P<0.01）， congestion of the lung tissue and infiltration of inflammatory cells， increased expression of IL-6 and TNF-α （P<0.01）， large areas of low electron density edema in type Ⅱ epithelial cells， obvious swelling and vacuolization of the organelles， karyopyknosis or sparse and dissolved chromatin， and up-regulated mRNA levels of IL-6， IL-1β， and TNF-α （P<0.01）. Compared with the model group， the drug administration groups showed reduced coughs （P<0.01）， lowered levels of CRP， TNF-α， IL-6， and MDA and elevated level of SOD in the BALF （P<0.05， P<0.01）， alleviated lung tissue congestion， inflammatory cell infiltration， and type Ⅱ epithelial cell injury， and decreased expression of IL-6 and TNF-α （P<0.01）. In addition， the medium-dose XEHT group and the montelukast sodium group showcased lowered serum levels of IgA and IgG （P<0.05， P<0.01）. The medium- and high-dose XEHT groups and the montelukast sodium showed down-regulated mRNA levels of IL-6， IL-1β， and TNF-α and the low-dose XEHT group showed down-regulated mRNA levels of IL-6 and TNF-α （P<0.05， P<0.01）. Phospholipase D， mammalian target of rapamycin （mTOR）， and epidermal growth factor receptor family of receptor tyrosine kinase （ErbB） signaling pathways were the common pathways predicted by both proteomics and network pharmacology. ConclusionProteomics combined with network pharmacology reveal that XEHT can ameliorate AC by regulating the phospholipase D， mTOR， and ErbB signaling pathways.

The incidence of thyroid cancer has been increasing,and early diagnosis and treatment are crucial for improving patient prognosis.With the advancement of artificial intelligence(AI)technology,significant progress has been made in its application in the diagnosis and treatment of thyroid cancer.AI technology has notably enhanced the diagnostic accuracy of thyroid cancer.By optimizing imaging examinations such as ultrasound and CT scans,it can more precisely identify malignant features of thyroid nodules.In fine-needle aspiration biopsy,the integration of AI with genetic testing technologies has improved both the accuracy and efficiency of diagnosis.In terms of treatment,AI assists in intraoperative functional preservation,reducing the risk of surgical trauma.For instance,it can accurately identify the locations of the recurrent laryngeal nerve and parathyroid glands.Additionally,AI is capable of predicting the efficacy of 131I treatment and the risk of complications,thereby guiding postoperative follow-up and management.The core strength of AI technology lies in its powerful data processing and analytical capabilities,enabling it to uncover latent patterns within data and provide a scientific basis for treatment decision-making.Looking ahead,with continuous technological advancements,AI is expected to propel the diagnosis and treatment of thyroid cancer towards greater intelligence and precision.However,challenges such as data privacy and algorithm transparency need to be addressed.This article provides a review of the research progress of AI technology in the fields of diagnosis,treatment,and prognosis prediction of thyroid cancer,explores the current strengths and weaknesses of AI technology,and looks forward to its future development directions while acknowledging challenges like data privacy and algorithm transparency.

The incidence of thyroid cancer has been increasing,and early diagnosis and treatment are crucial for improving patient prognosis.With the advancement of artificial intelligence(AI)technology,significant progress has been made in its application in the diagnosis and treatment of thyroid cancer.AI technology has notably enhanced the diagnostic accuracy of thyroid cancer.By optimizing imaging examinations such as ultrasound and CT scans,it can more precisely identify malignant features of thyroid nodules.In fine-needle aspiration biopsy,the integration of AI with genetic testing technologies has improved both the accuracy and efficiency of diagnosis.In terms of treatment,AI assists in intraoperative functional preservation,reducing the risk of surgical trauma.For instance,it can accurately identify the locations of the recurrent laryngeal nerve and parathyroid glands.Additionally,AI is capable of predicting the efficacy of 131I treatment and the risk of complications,thereby guiding postoperative follow-up and management.The core strength of AI technology lies in its powerful data processing and analytical capabilities,enabling it to uncover latent patterns within data and provide a scientific basis for treatment decision-making.Looking ahead,with continuous technological advancements,AI is expected to propel the diagnosis and treatment of thyroid cancer towards greater intelligence and precision.However,challenges such as data privacy and algorithm transparency need to be addressed.This article provides a review of the research progress of AI technology in the fields of diagnosis,treatment,and prognosis prediction of thyroid cancer,explores the current strengths and weaknesses of AI technology,and looks forward to its future development directions while acknowledging challenges like data privacy and algorithm transparency.

OBJECTIVE To explore the color and odor changes of Salvia miltiorrhiza Bge.slices from different origins,and com-bine modern machine learning technology to achieve rapid differentiation of origins.METHODS Intelligent sensory technology was used to quantify the color and represent the odor of Salvia miltiorrhiza Bge.slices from different geographical origins.Various data a-nalysis methods including principal component analysis(PCA),discriminant analysis,discriminant factor analysis(DFA),component heat maps,correlation analysis,machine learning and so on,were employed to establish a discrimination function for distinguishing the origin of Salvia miltiorrhiza Bge.slices based on color data.RESULTS Classification and screening of odor information led to the i-dentification of 10 differential markers:ethanol,carbon disulfide,cyclopentane,3-methylfuran,propylene glycol,nonane,phenol,1,5-octadienone,1,8-cineole,and sotolon.It was also found that there was a significant correlation between the color and odor of the slices.Furthermore,based on the concept of data fusion,the study established classification models such as subspace clustering,and compared to single-color discriminant analysis,the classification accuracy was improved to 94.4%.CONCLUSION The feasibility and superiority of intelligent sensory technology in classifying the geographical origin of TCM is confirmed,providing new methods and insights for quality control of Salvia miltiorrhiza Bge.slices.

Objective:This study aimed to provide basic data for the prevention, diagnosis and treatment of pediatric viral myocarditis (VMC) in China through analyzing the epidemic characteristics and disease burden of pediatric inpatients with VMC from 2016 to 2021.Methods:We performed a descriptive statistical analysis to the age, genders, seasons, regions and hospitalization cost and days of pediatric VMC inpatients and the death. All of the information was obtained from 27 Children′s hospitals or Maternal and Child Health hospitals of 23 provinces of China from 2016 to 2021.Results:A total of 7 647 599 cases including 1 646 VMC inpatients were admitted into our study. The annual numbers of hospitalizations were 173, 227, 313, 301, 295 and 337, with the hospitalized constituent ratios being 14.9/100 000, 17.9/100 000, 23.0/100 000, 20.5/100 000, 26.5/100 000 and 26.4/100 000 from 2016 to 2021. In recent 6 years, the proportion of VMC hospitalizations had increased yearly ( P<0.001), and had associated with the onset age ( P<0.001). Aged 12-≤18 years owned the highest hospitalized constituent ratio. The Northeast of China owned the largest number of VMC inpatients, and the East second to it. Among the 1 646 VMC children, there were 68 deaths, with the hospitalized case fatality rate of 4.13%. There were no significant differences between genders, age, seasons, years and fatality rate of VMC inpatients. For the diseases burden, the median of hospitalization days of all VMC inpatients was 10 days (IQR 6, 21), and the median of hospitalization cost was 1 1 842.3 RMB (IQR 6 969.22, 19 714.78). The median of hospitalization days of deceased VMC children was only 1 day (IQR 1, 3), the median cost could be 8 874.03 RMB (IQR 5 277.94, 5 6 151.59). Conclusions:In this study, we found that proportion of hospitalization of VMC children increased year by year, adolescence might be a risk factor of VMC. The fatality of VMC inpatients could be up to 4.13%, and the death led to a huge economic burden of society, family and individuals.

Objective To conduct a detailed clinical phenotypic analysis and gene mutation detection on an au-tosomal dominant Van der Hoeve syndrome family,and to identify the pathogenic gene mutation sites of the family and the impact of the mutation on gene coding.Methods Clinical data including medical history,physical examina-tion and auxiliary examination were collected and peripheral blood samples were collected from the Van der Hoeve syndrome families.Exome sequencing and Sanger sequencing were performed on 22 family members.The data were analyzed using bioinformatics software.Results The family had a total of 5 generations,with each generation expe-riencing consecutive illnesses.Each generation of men and women could suffer from the disease,which conformed to the characteristics of autosomal dominant inheritance.The 12 patients in this family were all born with blue sclera and short stature.8 patients had a history of fractures and could heal normally.3 patients were considering hearing loss caused by Van der Hoeve syndrome.12 patients had a base deletion(c.1128delT)in exon 17 of the COL1A1 gene,causing a change in the amino acid coding after position 376 and ending the amino acid coding prematurely at position 539.10 asymptomatic individuals in this family didn't had this mutation.Conclusion The patient of this family was identified as Van der Hoeve syndrome caused by c.1128 delT mutation.

OBJECTIVE To explore the color and odor changes of Salvia miltiorrhiza Bge.slices from different origins,and com-bine modern machine learning technology to achieve rapid differentiation of origins.METHODS Intelligent sensory technology was used to quantify the color and represent the odor of Salvia miltiorrhiza Bge.slices from different geographical origins.Various data a-nalysis methods including principal component analysis(PCA),discriminant analysis,discriminant factor analysis(DFA),component heat maps,correlation analysis,machine learning and so on,were employed to establish a discrimination function for distinguishing the origin of Salvia miltiorrhiza Bge.slices based on color data.RESULTS Classification and screening of odor information led to the i-dentification of 10 differential markers:ethanol,carbon disulfide,cyclopentane,3-methylfuran,propylene glycol,nonane,phenol,1,5-octadienone,1,8-cineole,and sotolon.It was also found that there was a significant correlation between the color and odor of the slices.Furthermore,based on the concept of data fusion,the study established classification models such as subspace clustering,and compared to single-color discriminant analysis,the classification accuracy was improved to 94.4%.CONCLUSION The feasibility and superiority of intelligent sensory technology in classifying the geographical origin of TCM is confirmed,providing new methods and insights for quality control of Salvia miltiorrhiza Bge.slices.

Salt stress may cause primary osmotic stress and ion toxicity, as well as secondary oxidative stress and nutritional stress in plants, which hampers the agricultural production. Salt stress-responsive transcription factors can mitigate the damage of salt stress to plants through regulating the expression of downstream target genes. Based on the soil salinization and its damage to plants, and the central regulatory role of transcription factors in the plant salt stress-responsive signal transduction network, this review summarized the salt stress-responsive signal transduction pathways that the transcription factors are involved, and the application of salt stress-responsive transcription factors to enhance the salt tolerance of plants. We also reviewed the transcription factors-regulated complex downstream gene network which is formed by forming homo- or heterodimers between transcription factors and by forming complexes with regulatory proteins. This paper provides a theoretical basis for understanding the role of salt stress-responsive transcription factors in the salt stress regulatory network, which may facilitate the molecular breeding for improved stress resistance.
Gene Expression Regulation, Plant ; Osmotic Pressure ; Plant Proteins/metabolism* ; Plants, Genetically Modified ; Salt Stress ; Salt Tolerance ; Stress, Physiological ; Transcription Factors/metabolism*

Objective: To explore the relationship between the tumor necrosis factor receptor superfamily members 11A (TNFRSF11A) and 11B (TNFRSF11B) gene polymorphisms and the outcome of hepatitis C virus (HCV) infection. Methods: In this case-control study, 749 cases of persistent HCV infection, 494 cases of spontaneous clearance and 1 486 control subjects were included from 2008 to 2016. TaqMan-MGB probe method was used to detect the genotype of TNFRSF11A rs1805034 and TNFRSF11B rs2073617. The genotypes distribution of the two single nucleotide polymorphisms (SNP) were analyzed in different populations. Results: Co-dominant model showed that individuals carrying the rs2073617 CC genotype were prone to have chronic HCV infection, compared with individuals carrying the rs2073617 TT genotype (OR=1.517, 95%CI: 1.055-2.181, P=0.024). Recessive model results showed that individuals carrying rs2073617 CC genotype were more likely to develop chronic HCV infection compared with individuals carrying rs2073617 TT or TC genotype (OR=1.435, 95%CI: 1.033-1.996, P=0.032). Additive model showed that the risk for chronic HCV infection increased with the increase of the number of rs2073617 C alleles (OR=1.204, 95%CI: 1.013-1.431, P=0.035). Conclusion The genetic polymorphism of TNFRSF11B rs2073617 might be related with the chronicity of HCV infection.

Objective To evaluate the role of cholinergic anti-inflammatory pathway in dexmedeto-midine pretreatment-induced reduction of acute lung injury in a rat model of intestinal ischemia-reperfusion ( I∕R) . Methods Twenty-four healthy male Sprague-Dawley rats, aged 2-3 months, weighing 200-250 g, were divided into 4 groups ( n=6) using a random number table method: sham operation group ( S group) , intestinal I∕R group ( II∕R group ) , dexmetomidine group ( DEX group) and α7 nicotinic acetyl-choline receptor antagonistα-bungarotoxin (α-BGT) group (α-BGT group) . Intestinal I∕R was produced by occlusion of the superior mesenteric artery ( SMA) for 60 min followed by 120 min of reperfusion in anesthe-tized rats. Dexmetomidine 5 μg·kg-1 ·h-1 was injected via the tail vein at 1 h before operation in DEX group andα-BGT group. α-BGT 1μg∕kg was intraperitoneally injected at 15 min before dexmetomidine in-jection in α-BGT group. Rats were sacrificed at 120 min of reperfusion, and lung tissues were obtained for microscopic examination of pathological changes ( with a light microscope) and for determination of wet∕dry weight ratio ( W∕D ratio) , tumor necrosis factor-alpha ( TNF-α) and interleukin-6 ( IL-6) contents ( using enzyme-linked immunosorbent assay) , malondialdehyde ( MDA) content ( using thiobarbital acid method) and superoxide dismutase ( SOD) activity ( by xanthine oxidase method) . Results Compared with group S, the W∕D ratio and contents of MDA, TNF-αand IL-6 were significantly increased, and the SOD activi-ty was decreased in II∕R and α-BGT groups, and TNF-α and IL-6 contents were significantly increased in group DEX ( P<0. 05) . Compared with group II∕R, the W∕D ratio and contents of MDA, TNF-αand IL-6 were significantly decreased, SOD activity was increased (P<0. 05), and the pathological changes were significantly attenuated in group DEX. Compared with group DEX, the W∕D ratio and contents of MDA, TNF-α and IL-6 were significantly increased, SOD activity was decreased ( P<0. 05) , and the pathological changes were accentuated in group α-BGT. Conclusion Activation of cholinergic anti-inflammatory path-way is involved in the mechanism by which dexmedetomidine pretreatment reduces acute lung injury in a rat model of intestinal I∕R.