Sinusitis is a prevalent nasal disease in children, characterized by chronic and difficult-to-treat symptoms. Its onset is related to nasal stagnation, gallbladder and lung dysfunctions. This article explores the root cause based on Huangdi Neijing by considering the physiological and pathological characteristics of children. The core pathogenesis of pediatric sinusitis is the transmission of heat from the gallbladder and lung to the brain and nose, disrupting normal nasal function. Wind and heat pathogens often persist, accumulate, and transform into turbid qi, which are common triggers of the disease. Evil qi retention and yin depletion are internal factors that cause the prolonged and unhealed condition of the disease. This article emphasizes individualized treatment approaches based on disease duration and the severity of pathogenic factors. If external pathogens remain uncleared, treatment should focus on dispelling wind, clearing heat, dispersing with pungent medicinals, and dredging nasal orifices. If internal fire is exuberant, clearing lung qi, inhibiting hyperactive liver yang, and clearing exuberant fire should be used to relieve stagnation. In chronic cases with residual pathogens and liver-kidney yin deficiency, nourishing yin, clearing fire, and moistening the nasal orifices are essential. When exuberant heat has subsided, but the symptom of a persistent runny nose continues, leading to the loss of healthy qi and damage to the lung and spleen, treatments that tonify the spleen, benefit the lung, and reinforce healthy qi should be adopted to relieve stagnation. These treatments aim to restore the balance of the body′s vital qi by addressing both the lingering symptoms and the underlying weakness of the lung and spleen. The diagnosis and treatment of pediatric sinusitis based on the theory of "the transmission of heat from gallbladder and lung" can help reduce the recurrence of sinusitis and alleviate symptoms, with the aim of broadening the approach of traditional Chinese medicine in treating this condition.

Based on the viewpoint of "sweat pore-qi and liquid-kidney collaterals"， it is believed that children's nephrotic syndrome is caused by the core mechanism of sweat pore constraint and closure， qi and liquid imbalance， and kidney collaterals impairment， and it is proposed that the treatment principle is to nourish the sweat pore， regulate qi and fluid， and supplement the kidney and unblock the collaterals. In clinic， guided by sequential therapy and according to the different disease mechanism characteristics of the four stages， including early stage of the disease， hormone induction stage， hormone reduction stage， hormone maintenance stage， the staged dynamic identification and treatment was applied. For early stage of the disease with edema due to yang deficiency， modified Zhenwu Decoction （真武汤） was applied to warm yang and drain water； for hormone induction stage with yin deficiency resulting in effulgent fire， modified Zhibai Dihuang Pill （知柏地黄丸） plus Erzhi Pill （二至丸） was used to enrich yin and reduce fire； for hormone reduction stage with qi and yin deficiency， modified Shenqi Dihuang Decoction （参芪地黄汤） was used to boost qi and nourish yin； for hormone maintenance stage， modified Shenqi Pill （肾气丸） was used to supplement yin and yang. Meanwhile， the treatment also attaches importance to the combination of vine-based or worm medicinals to dredge collaterals， so as to providing ideas for clinical treatment.

BACKGROUND: Double-stranded RNA-specific adenosine deaminase 1 (ADAR1) binds to double-stranded RNA and catalyzes the deamination of adenosine (A) to inosine (I). The functional mechanism of ADAR1 in non-small cell lung cancer (NSCLC) remains incompletely understood. This study aimed to investigate the prognostic significance of ADAR1 in NSCLC and to elucidate its potential role in regulating tumor cell proliferation and migration. METHODS: Data from The Cancer Genome Atlas (TCGA) and cBioPortal were analyzed to assess the correlation between high ADAR1 expression and clinicopathological features as well as prognosis in lung cancer. We performed Western blot (WB), cell proliferation assays, Transwell invasion/migration assays, and nude mouse xenograft modeling to examine the phenotypic changes and molecular mechanisms induced by ADAR1 knockdown. Furthermore, the ADAR1 p150 overexpression model was utilized to validate the proposed mechanism. RESULTS: ADAR1 expression was significantly elevated in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tissues compared with adjacent non-tumor tissues (LUAD: P=3.70×10-15, LUSC: P=0.016). High ADAR1 expression was associated with poor prognosis (LUAD: P=2.03×10-2, LUSC: P=2.81×10-2) and distant metastasis (P=0.003). Gene Set Enrichment Analysis (GSEA) indicated that elevated ADAR1 was associated with mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) pathway activation, matrix metalloproteinase-9 (MMP-9) expression, and cell adhesion. ADAR1 and MMP-9 levels showed a strongly positive correlation (P=6.45×10-34) in 10 lung cancer cell lines, highest in H1581. Knockdown of ADAR1 in H1581 cells induced a rounded cellular morphology with reduced pseudopodia. Concomitantly, it suppressed cell proliferation, invasion, migration, and in vivo tumorigenesis. It also suppressed ERK phosphorylation and downregulated cellular Finkel-Biskis-Jinkins murine osteosarcoma viral oncogene homolog (c-FOS), MMP-9, N-cadherin, and Vimentin. Conversely, ADAR1 p150 overexpression in PC9 cells enhanced ERK phosphorylation and increased c-FOS and MMP-9 expression. CONCLUSIONS High ADAR1 expression is closely associated with poor prognosis and distant metastasis in NSCLC patients. Mechanistically, ADAR1 may promote proliferation, invasion, migration, and tumorigenesis in lung cancer cells via the ERK/c-FOS/MMP-9 axis.
Humans ; Lung Neoplasms/physiopathology* ; Adenosine Deaminase/genetics* ; Matrix Metalloproteinase 9/genetics* ; Cell Proliferation ; Carcinoma, Non-Small-Cell Lung/physiopathology* ; Cell Movement ; Animals ; Mice ; RNA-Binding Proteins/genetics* ; Female ; Male ; Cell Line, Tumor ; Proto-Oncogene Proteins c-fos/genetics* ; Middle Aged ; MAP Kinase Signaling System ; Gene Expression Regulation, Neoplastic ; Mice, Nude ; Extracellular Signal-Regulated MAP Kinases/genetics*

Objective To screen specific antibodies to Helicobacter pylori(H.pylori)in serum,and establish antibody panels and discrimination models for different infection status,which are non-invasive and suitable for gastric cancer screening in Chinese population.Methods A total of 300 subjects with different H.pylori statuses were enrolled depending on an endoscopy screening cohort in a high-risk area of gastric cancer,including current,past,and negative infections.The recomLine Helicobacter IgG 2.0 immunoblotting assay was used to analyze and screen 10 H.pylori specific antibodies in serum samples.Results A total of nine antibody reactivity against CagA,VacA,GroEL,FliD,HpaA,gGT,HtrA,NapA,and CtkA showed significant differences among different H.pylori infection status groups(all P＜0.05).A panel comprising the nine antibodies distinguished exposure subjects to H.pylori(current and past infections)from negatives,with an area under the curve(AUC)of 0.935(95%CI:0.907-0.963).The combination of four antibodies(CagA,GroEL,FliD,and gGT)may help to discriminate current and past infection subjects,with an AUC of 0.927(95%CI:0.891-0.964).Conclusion The antibody panels and discriminant models for H.pylori infection status established in the present study may provide a potential and non-invasive screening method for the development of precise gastric cancer prevention strategies.

ObjectiveTo assess the relapse rate， clinical efficacy， and safety of a traditional Chinese medicine （TCM） sequential syndrome differentiation protocol for frequently relapsing/steroid-dependent nephrotic syndrome （FRNS/SDNS） in children. MethodsA total of 151 children with FRNS/SDNS treated in the First Affiliated Hospital of Henan University of Chinese Medicine from December 2020 to June 2024 were randomized into an observation group （77 cases） and a control group （74 cases）. Both groups received Western medicine （prednisone tablets and tacrolimus capsules）. In addition， the observation group additionally underwent TCM sequential syndrome differentiation and the control group received 1/10 of the TCM dose. The 6-month intervention was followed by a 12-month follow-up， totaling 18 months of observation across seven time points （before treatment and after 1， 2， 4， 24， 52， 76 weeks of treatment）. The evaluation was carried out based on the following indicators. ① The relapse rates were mainly recorded after 24， 52， 76 weeks of treatment. ② The efficacy was evaluated based on the clinical remission rates after 1， 2， 4 weeks of treatment， the time to proteinuria clearance， the levels of 24-hour urine total protein （24-h UTP）， serum total protein （TP）， serum albumin （ALB）， cholesterol （CHO）， and triglycerides （TG） and the TCM symptom scores before treatment and after 24 weeks of treatment. ③ The treatment safety was evaluated based on blood routine and levels of liver enzymes， renal function indicators and blood glucose （Glu） before treatment and after 24 weeks of treatment. Results① Relapse rate： After 24 weeks of treatment， no significant difference in relapse rate was found between the two groups. The observation group showed lower relapse rates than the control group after 52 weeks of treatment ［24.2% （16/66） vs. 52.5% （31/59）， χ²=10.634， P<0.01］ and 76 weeks of treatment ［42.4% （28/66） vs. 74.6% （44/59）， χ²=13.186， P<0.01］ than the control group. ② Efficacy indicators： The two groups showed no significant difference in remission rate after 1 week of treatment. The observation group demonstrated higher remission rates after 2 weeks of treatment ［88.2% （67/76） vs. 74.0% （54/73）， Z=-1.999， P<0.05］ and 4 weeks of treatment ［94.7% （72/76） vs. 82.2% （60/73）， Z=-2.3589， P<0.05）. In addition， the observation group had shorter time to proteinuria clearance （P<0.01）. After treatment， both groups showed declined 24 h-UTP， CHO， TG， and TCM symptom scores and elevated TP and ALB levels （P<0.01）， and the observation group had lower CHO， TG， and TCM symptom scores and higher TP and ALB than the control group （P<0.05）. ③ Safety indicators： After treatment， both groups showed declined white blood cell count （WBC）， red blood cell count （RBC）， hemoglobin （HB）， and alanine aminotransferase （ALT） （P<0.05， P<0.01） and elevated Glu （P<0.01） and blood urea nitrogen （BUN） （P<0.05）. After 24 weeks of treatment， none of WBC， RBC， HB， PLT， ALT， AST， BUN， Cr or Glu had significant differences between groups. Moreover， the incidence of adverse reactions showed no significant difference between the two groups. ConclusionThe TCM sequential syndrome differentiation protocol effectively reduces the relapse rate， improves the remission rate， shortens the time to proteinuria clearance， raised serum protein levels， lowers blood lipid levels， and alleviates symptoms， demonstrating good clinical safety in children with FRNS/SDNS.

Objective To screen specific antibodies to Helicobacter pylori(H.pylori)in serum,and establish antibody panels and discrimination models for different infection status,which are non-invasive and suitable for gastric cancer screening in Chinese population.Methods A total of 300 subjects with different H.pylori statuses were enrolled depending on an endoscopy screening cohort in a high-risk area of gastric cancer,including current,past,and negative infections.The recomLine Helicobacter IgG 2.0 immunoblotting assay was used to analyze and screen 10 H.pylori specific antibodies in serum samples.Results A total of nine antibody reactivity against CagA,VacA,GroEL,FliD,HpaA,gGT,HtrA,NapA,and CtkA showed significant differences among different H.pylori infection status groups(all P＜0.05).A panel comprising the nine antibodies distinguished exposure subjects to H.pylori(current and past infections)from negatives,with an area under the curve(AUC)of 0.935(95%CI:0.907-0.963).The combination of four antibodies(CagA,GroEL,FliD,and gGT)may help to discriminate current and past infection subjects,with an AUC of 0.927(95%CI:0.891-0.964).Conclusion The antibody panels and discriminant models for H.pylori infection status established in the present study may provide a potential and non-invasive screening method for the development of precise gastric cancer prevention strategies.

Objective:To identify proteins associated with the risk of gastric cancer (GC) and build a protein risk score for risk prediction of GC based on proteomic analysis.Methods:Gastric mucosal proteomics data were used to construct Dataset One, comprising 94 GC cases and 230 individuals with different stages of gastric mucosal lesions. The GC cases were recruited from the National Upper Gastrointestinal Cancer Early Detection (UGCED) Program in Linqu, Shandong Province, as well as clinical patients from the Fifth Medical Center, General Hospital of PLA, and Peking University Cancer Hospital. Non-cancer individuals were enrolled from the National UGCED Program in Linqu and community screening programs at the Dongfang Hospital. All participants were pathologically confirmed. Multivariate logistic regression analysis was employed to identify gastric mucosal proteins significantly associated with GC risk. Subsequently, plasma proteomics data from the UK Biobank Pharma Proteomics Project (UKB-PPP) were used to construct Dataset Two, including 40 baseline GC cases and 47 933 non-cancer individuals, and Dataset Three, comprising 138 incident GC cases and 47 933 non-cancer individuals during a prospective follow-up period. In Dataset Two, multivariate logistic regression analysis was conducted to assess associations between plasma protein levels and baseline GC risk. In Dataset Three, multivariate Cox regression analysis was used to examine associations with the risk of incident GC. A poly-protein risk score (PRS) was developed using a weighted summation method based on protein effect sizes from Dataset Two. Its associations with GC risk and the progression of gastric mucosal lesions were evaluated using linear regression trend tests.Results:A total of 324, 47 973 and 48 071 participants were included in Datasets One, Two, and Three, respectively. Across the three datasets, the proportions of males and individuals aged>60 years were higher in the GC group than in the non-GC group (all P values<0.05). The follow-up period in Dataset Three had a M ( P 25, P 75) of 14.47 (13.7, 15.2) years, with a median of 7.4 (4.6, 11.3) years for those who progressed to GC. Based on Dataset One, 2 524 tissue-differential proteins associated with GC risk were identified through multivariate logistic regression analysis adjusted for age and sex. Among these, seven proteins were consistently associated with GC risk across tissue and plasma levels in Datasets Two and Three, with consistent directions of association. Five proteins (MRC1, APOL1, BST2, PON2, and GGH) were positively associated with GC risk, while two (GSN and CLEC3B) were negatively associated. Analysis of the PRS based on these seven proteins showed that for each standard deviation increase in the tissue-derived PRS, the risk of GC increased by 6.26 times (95% CI: 4.02-9.75). In Dataset Two, each standard deviation increase in the plasma-derived PRS was associated with a 2.13-fold increase in GC risk (95% CI: 1.68-2.69). In the prospective cohort of Dataset Three, individuals in the high PRS group had a 2.27-fold higher risk of GC compared to the low PRS group (95% CI: 1.50-3.45). Moreover, each standard deviation increase in the plasma PRS was associated with a 57% higher risk of GC ( HR=1.57, 95% CI: 1.34-1.84). Additionally, the tissue-derived PRS showed an increasing trend with the progression of gastric mucosal lesions. Conclusion:The tissue and plasma proteomics identified seven individual proteins that may indicate the risk of developing gastric cancer, showing the potential as biomarkers for aiding in the screening of gastric cancer.

Objective:To identify proteins associated with the risk of gastric cancer (GC) and build a protein risk score for risk prediction of GC based on proteomic analysis.Methods:Gastric mucosal proteomics data were used to construct Dataset One, comprising 94 GC cases and 230 individuals with different stages of gastric mucosal lesions. The GC cases were recruited from the National Upper Gastrointestinal Cancer Early Detection (UGCED) Program in Linqu, Shandong Province, as well as clinical patients from the Fifth Medical Center, General Hospital of PLA, and Peking University Cancer Hospital. Non-cancer individuals were enrolled from the National UGCED Program in Linqu and community screening programs at the Dongfang Hospital. All participants were pathologically confirmed. Multivariate logistic regression analysis was employed to identify gastric mucosal proteins significantly associated with GC risk. Subsequently, plasma proteomics data from the UK Biobank Pharma Proteomics Project (UKB-PPP) were used to construct Dataset Two, including 40 baseline GC cases and 47 933 non-cancer individuals, and Dataset Three, comprising 138 incident GC cases and 47 933 non-cancer individuals during a prospective follow-up period. In Dataset Two, multivariate logistic regression analysis was conducted to assess associations between plasma protein levels and baseline GC risk. In Dataset Three, multivariate Cox regression analysis was used to examine associations with the risk of incident GC. A poly-protein risk score (PRS) was developed using a weighted summation method based on protein effect sizes from Dataset Two. Its associations with GC risk and the progression of gastric mucosal lesions were evaluated using linear regression trend tests.Results:A total of 324, 47 973 and 48 071 participants were included in Datasets One, Two, and Three, respectively. Across the three datasets, the proportions of males and individuals aged>60 years were higher in the GC group than in the non-GC group (all P values<0.05). The follow-up period in Dataset Three had a M ( P 25, P 75) of 14.47 (13.7, 15.2) years, with a median of 7.4 (4.6, 11.3) years for those who progressed to GC. Based on Dataset One, 2 524 tissue-differential proteins associated with GC risk were identified through multivariate logistic regression analysis adjusted for age and sex. Among these, seven proteins were consistently associated with GC risk across tissue and plasma levels in Datasets Two and Three, with consistent directions of association. Five proteins (MRC1, APOL1, BST2, PON2, and GGH) were positively associated with GC risk, while two (GSN and CLEC3B) were negatively associated. Analysis of the PRS based on these seven proteins showed that for each standard deviation increase in the tissue-derived PRS, the risk of GC increased by 6.26 times (95% CI: 4.02-9.75). In Dataset Two, each standard deviation increase in the plasma-derived PRS was associated with a 2.13-fold increase in GC risk (95% CI: 1.68-2.69). In the prospective cohort of Dataset Three, individuals in the high PRS group had a 2.27-fold higher risk of GC compared to the low PRS group (95% CI: 1.50-3.45). Moreover, each standard deviation increase in the plasma PRS was associated with a 57% higher risk of GC ( HR=1.57, 95% CI: 1.34-1.84). Additionally, the tissue-derived PRS showed an increasing trend with the progression of gastric mucosal lesions. Conclusion:The tissue and plasma proteomics identified seven individual proteins that may indicate the risk of developing gastric cancer, showing the potential as biomarkers for aiding in the screening of gastric cancer.

AIM: To investigate the characteristics of anterior segment structure in first-degree relatives of patients with primary angle-closure glaucoma(PACG).METHODS: A total of 48 first-degree relatives of PACG patients aged 40-60 who were treated in the Affiliated Eye Hospital of Nanchang University from September 2020 to October 2022 were selected as the observation group. Additionally, 40 cases(40 eyes)of healthy individuals without glaucoma and family history of glaucoma at the same age group were collected as the control group. They were divided into younger group(40-49 years old)and elder group(50-60 years old). All subjects were examined with ultrasound biomicroscopy(UBM)and were measured using camera measure software. The parameters mainly included anterior chamber depth(ACD), anterior chamber area(ACA), anterior chamber width(ACW), anterior segment depth(ASD), angle open distance(AOD500), trabecular iris angle(TIA), trabecular iris area(TISA500), lens vault(LV), iris curve(IC), iris thickness(IT500), scleral ciliary process angle(SCPA), and iris ciliary process distance(ICPD).RESULTS: ACD, ACA, AOD500, TISA500 and TIA in the observation group were lower than those of the control group, and LV and IC were higher than those of the control group(all P<0.05). ACD, ACA, AOD500, TISA500, and TIA of the elder group were lower than those in the age-matched control group, while LV and IC were larger than those of the age-matched control group(all P<0.05). ACD, AOD500, TISA500, and TIA of the younger observation group were smaller than those of the age-matched control group, but LV and IC were significantly larger than those of the age-matched control group(all P<0.05). ACD, ACA, AOD500, TISA500 and TIA of the elder observation group were significantly lower than those of the younger observation group, and LV and IC were significantly larger than those of the younger observation group(all P<0.05). There was a difference in the distribution of ACD between the observation group and the control group(P<0.05), and the proportion of moderate to severe shallow anterior chambers was 10 times that of the control group. Correlation analysis showed that TISA500 was positively correlated with ACD and ACA, and negatively correlated with LV and IC, and TISA500 was mainly influenced by LV. IC had a positive correlation with LV and a negative correlation with ACD and ACA.CONCLUSION: First-degree relatives of PACG with normal axial length have a high risk of angle closure. The anterior segment structures of first-degree relatives of PACG are more crowded than normal individuals, and the lens forward shift may be the initial influencing factor for narrow angle.

Epstein-Barr virus(EBV)is the first virus discovered to be associated with human tumors,and its association with gastric cancer has received widespread attention in recent years.In 2014,The Cancer Genome Atlas initially classified gastric cancer into four subtypes based on molecular characteristics,with EBV positive individuals grouped into a distinct subtype known as EBV-positive gastric cancer,which has unique molecular and clinicopathological characteristics.While EBV infection in malignant gastric epithelial cells and the induction of host genetic mutations and epigenetic abnormalities were generally considered as important bases for EBV carcinogenesis,the mechanisms un-derlying the relationship between EBV infection and gastric cancer risk remain unclear.We here summarize the existing epidemiological data supporting associations between different indicators of EBV infection and gastric cancer and provide an overview of the potential roles and mechanisms of EBV in gastric cancer carcinogenesis,which is expected to offer significant guidance for future studies elucidating the rela-tionship between EBV infection and gastric cancer development.