ObjectiveAngelicae Sinensis Radix， a commonly used medicinal herb with both medicinal and edible properties， is frequently adulterated in the market， severely affecting the clinical efficacy of preparations. While qualitative identification techniques for adulterants and counterfeits are now relatively mature， quantitative detection methods for adulterated processed products remain unexplored. Quantitative detection research of Angelicae Sinensis Radix and its primary closely related adulterant， "Tu Danggui" （Angelica gigas）， was conducted to establish a herbal quantitative molecular detection （Herb-Q） method for Angelicae Sinensis Radix and its processed products， providing a model for the establishment of quantitative detection technologies for Angelicae Sinensis Radix and related health products. MethodsThe specific single-nucleotide polymorphism （SNP） loci of Angelicae Sinensis Radix and Angelica gigas Nakai were screened based on the complete chloroplast genome sequence. The specific SNP loci of Angelicae Sinensis Radix were selected for quantitative methodological investigations （linearity， limit of quantification， limit of detection， and reproducibility） by mixing the powder of the herbs with different adulteration ratios. Huoxue Zhitong powder with three distinct adulteration ratios （15%， 25%， and 35%） was utilized to ascertain the precision of the Herb-Q method for the quantitative detection of Chinese patent medicines containing Angelicae Sinensis Radix. ResultsBy comparing the 123 chloroplast genome sequences of Angelicae Sinensis Radix， based on the principles of intraspecies conservation， interspecies specificity， and meeting the requirements of pyrophosphate high-throughput sequencing， it was determined that 9 674^th locus （A/G） in the chloroplast genome sequence NC_042826.1 and 38 592^nd locus （T/C） in the chloroplast genome sequence NC_029393.1 could be the exclusive molecular identification loci of Angelicae Sinensis Radix and Angelica gigas Nakai， respectively. The linear relationship R² of the Herb-Q method established by selecting the specific 9 674^th locus （A/G） of Angelicae Sinensis Radix was 0.997 4 （R²>0.99）， indicating an excellent linear relationship. The limits of quantification and detection were established at 2.0%， exhibiting excellent reproducibility ［relative standard deviation（RSD）<2.0%］. The established quantitative system based on the Herb-Q method detected the adulteration amount of counterfeit A. gigas in the Huoxue Zhitong powder， with an average deviation of 1.3% for three molecular quantitative replicates. ConclusionThis research demonstrates that the Herb-Q quantitative detection method established based on the 9 674^th locus （A/G） in the chloroplast genome sequence NC_042826.1 of Angelicae Sinensis Radix has good applicability， objectivity， and accuracy for Angelicae Sinensis Radix and A. gigas， and its processed products. This method has the capacity to provide technical support for the quantitative detection of commercially available Angelicae Sinensis Radix derivatives， including traditional Chinese medicinal preparations， dietary supplements， and nutraceuticals.

ObjectiveAngelicae Sinensis Radix， a commonly used medicinal herb with both medicinal and edible properties， is frequently adulterated in the market， severely affecting the clinical efficacy of preparations. While qualitative identification techniques for adulterants and counterfeits are now relatively mature， quantitative detection methods for adulterated processed products remain unexplored. Quantitative detection research of Angelicae Sinensis Radix and its primary closely related adulterant， "Tu Danggui" （Angelica gigas）， was conducted to establish a herbal quantitative molecular detection （Herb-Q） method for Angelicae Sinensis Radix and its processed products， providing a model for the establishment of quantitative detection technologies for Angelicae Sinensis Radix and related health products. MethodsThe specific single-nucleotide polymorphism （SNP） loci of Angelicae Sinensis Radix and Angelica gigas Nakai were screened based on the complete chloroplast genome sequence. The specific SNP loci of Angelicae Sinensis Radix were selected for quantitative methodological investigations （linearity， limit of quantification， limit of detection， and reproducibility） by mixing the powder of the herbs with different adulteration ratios. Huoxue Zhitong powder with three distinct adulteration ratios （15%， 25%， and 35%） was utilized to ascertain the precision of the Herb-Q method for the quantitative detection of Chinese patent medicines containing Angelicae Sinensis Radix. ResultsBy comparing the 123 chloroplast genome sequences of Angelicae Sinensis Radix， based on the principles of intraspecies conservation， interspecies specificity， and meeting the requirements of pyrophosphate high-throughput sequencing， it was determined that 9 674^th locus （A/G） in the chloroplast genome sequence NC_042826.1 and 38 592^nd locus （T/C） in the chloroplast genome sequence NC_029393.1 could be the exclusive molecular identification loci of Angelicae Sinensis Radix and Angelica gigas Nakai， respectively. The linear relationship R² of the Herb-Q method established by selecting the specific 9 674^th locus （A/G） of Angelicae Sinensis Radix was 0.997 4 （R²>0.99）， indicating an excellent linear relationship. The limits of quantification and detection were established at 2.0%， exhibiting excellent reproducibility ［relative standard deviation（RSD）<2.0%］. The established quantitative system based on the Herb-Q method detected the adulteration amount of counterfeit A. gigas in the Huoxue Zhitong powder， with an average deviation of 1.3% for three molecular quantitative replicates. ConclusionThis research demonstrates that the Herb-Q quantitative detection method established based on the 9 674^th locus （A/G） in the chloroplast genome sequence NC_042826.1 of Angelicae Sinensis Radix has good applicability， objectivity， and accuracy for Angelicae Sinensis Radix and A. gigas， and its processed products. This method has the capacity to provide technical support for the quantitative detection of commercially available Angelicae Sinensis Radix derivatives， including traditional Chinese medicinal preparations， dietary supplements， and nutraceuticals.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

Lung cancer is one of the most lethal tumors in the world with a 5-year overall survival rate of less than 20%, mainly including lung adenocarcinoma (LUAD). Tumor microenvironment (TME) has become a new research focus in the treatment of lung cancer. The TME is heterogeneous in composition and consists of cellular components, growth factors, proteases, and extracellular matrix. The various cellular components exert a different role in apoptosis, metastasis, or proliferation of lung cancer cells through different pathways, thus contributing to the treatment of adenocarcinoma and potentially facilitating novel therapeutic methods. This review summarizes the research progress on different cellular components with cell-cell interactions in the TME of LUAD, along with their corresponding drug candidates, suggesting that targeting cellular components in the TME of LUAD holds great promise for future theraputic development.
Humans ; Tumor Microenvironment/drug effects* ; Adenocarcinoma of Lung/drug therapy* ; Lung Neoplasms/pathology* ; Adenocarcinoma/metabolism* ; Animals ; Apoptosis/physiology*

Objective:To construct a risk assessment system for measles transmission in Henan Province and scientifically evaluate the risk levels of measles transmission in each city in Henan Province.Methods:The modified Delphi method was used to conduct two rounds of expert consultations to construct a risk assessment system for measles transmission. Data from all 191 cities, counties and districts in Henan Province were collected. The internal consistency (Cronbach′s α), content validity (content validity index, CVI) and structural validity (factor analysis) of the indicator system were evaluated to optimize the assessment framework. The indicator assignment method was adopted, and the comprehensive risk scores were obtained by adding the scores according to different weights. Results:Both rounds of consultation witnessed a 100% participation rate among all experts. The authority coefficients of experts in the two rounds were 0.920 and 0.925, and concordance coefficients were 0.201 ( χ 2=161.11, P<0.001) and 0.210 ( χ 2=163.80, P<0.001). The constructed assessment system comprised four dimensions—population immunity levels, surveillance quality, importation risk, and technical reserve of emergency response capacities—with a total of 30 indicators. Reliability analysis of the assessment system showed an overall Cronbach′s α of 0.741. Validity analysis revealed that all content validity indices reached 1.000, with principal factors cumulatively accounting for 67.625% of the variance, and all factor loadings exceeded 0.400. The measles transmission risk assessment in Henan Province using this assessment system identified Zhengzhou (92), Xinxiang (91), Xinyang (89), and Pingdingshan (73) as high-risk regions. Conclusion:The risk assessment system developed in this study demonstrates good reliability and validity, effectively reflecting measles transmission risks across Henan Province. The findings highlight the need to strengthen surveillance and control measures in high-risk areas, particularly in Zhengzhou.

Objective:To construct a risk assessment system for measles transmission in Henan Province and scientifically evaluate the risk levels of measles transmission in each city in Henan Province.Methods:The modified Delphi method was used to conduct two rounds of expert consultations to construct a risk assessment system for measles transmission. Data from all 191 cities, counties and districts in Henan Province were collected. The internal consistency (Cronbach′s α), content validity (content validity index, CVI) and structural validity (factor analysis) of the indicator system were evaluated to optimize the assessment framework. The indicator assignment method was adopted, and the comprehensive risk scores were obtained by adding the scores according to different weights. Results:Both rounds of consultation witnessed a 100% participation rate among all experts. The authority coefficients of experts in the two rounds were 0.920 and 0.925, and concordance coefficients were 0.201 ( χ 2=161.11, P<0.001) and 0.210 ( χ 2=163.80, P<0.001). The constructed assessment system comprised four dimensions—population immunity levels, surveillance quality, importation risk, and technical reserve of emergency response capacities—with a total of 30 indicators. Reliability analysis of the assessment system showed an overall Cronbach′s α of 0.741. Validity analysis revealed that all content validity indices reached 1.000, with principal factors cumulatively accounting for 67.625% of the variance, and all factor loadings exceeded 0.400. The measles transmission risk assessment in Henan Province using this assessment system identified Zhengzhou (92), Xinxiang (91), Xinyang (89), and Pingdingshan (73) as high-risk regions. Conclusion:The risk assessment system developed in this study demonstrates good reliability and validity, effectively reflecting measles transmission risks across Henan Province. The findings highlight the need to strengthen surveillance and control measures in high-risk areas, particularly in Zhengzhou.

OBJECTIVE To understand the drug resistance among the acquired immune deficiency syndrome(AIDS)population who failed in the antiviral therapy from 2022 to 2023 and analyze the molecular network.METHODS The plasma specimens were collected from the population with viral load no less than 1000 cps/ml who received antiviral therapy for more than 6 months in Aksu area from 2022 to 2023,which were delivered to Aksu Regional Center for Disease Control and Prevention for test.MEGA5 and the Stanford University drug resistance database were employed to determine the subtypes and drug resistance after the sequences of human immunodefi-ciency virus type Ⅰ polymerase gene region(HIV-1pol)were obtained,and the molecular network was established by HIV-trace.RESULTS Totally 648 sequences of HIV-1pol region were obtained,CRF07_BC(97.69％)was the major subtype,and the drug resistance rate was 58.33％;the drug resistance rates to non-nucleoside reverse transcriptase inhibitor(NNRTI),nucleoside reverse transcriptase inhibitor(NRTI)and protease inhibitor(PI)were 51.70％,19.75％and8.64％,respectively.The univariate analysis showed that year(x2=6.341),age(x2=18.455)and route of infection(x2=14.061)had remarkable effects on the drug resistance among the population with failed ART(P＜0.05).Multivariate regression analysis indicated that the drug resistance rate was higher in 2022 than in 2023(95％CI:1.132 to 2.191),and the drug resistance rate was higher among the population aged less than 60 years old than among the population more than 6 years old(95％CI:3.647 to 70.268,95％CI:1.435 to 8.235,95％CI:1.061 to 6.164,re-spectively).With 1.5％of the genetic distance set as the threshold,the molecular network was established,the network access rate was 49.07％,77.14％of the clusters had drug-resistant mutation sites,and the male population was at higher risk of network access than the female population.CONCLUSIONS The drug resistance rate is relatively high among the AIDS population with failed ART,and the drug-resistant strains appear in clusters in the molecular network.It is neces-sary to further strengthen the monitoring of drug resistance and improve the quality of the follow-up so as to reduce the occurrence of drug resistance and transmission of virulent strains.

OBJECTIVE To understand the drug resistance among the acquired immune deficiency syndrome(AIDS)population who failed in the antiviral therapy from 2022 to 2023 and analyze the molecular network.METHODS The plasma specimens were collected from the population with viral load no less than 1000 cps/ml who received antiviral therapy for more than 6 months in Aksu area from 2022 to 2023,which were delivered to Aksu Regional Center for Disease Control and Prevention for test.MEGA5 and the Stanford University drug resistance database were employed to determine the subtypes and drug resistance after the sequences of human immunodefi-ciency virus type Ⅰ polymerase gene region(HIV-1pol)were obtained,and the molecular network was established by HIV-trace.RESULTS Totally 648 sequences of HIV-1pol region were obtained,CRF07_BC(97.69％)was the major subtype,and the drug resistance rate was 58.33％;the drug resistance rates to non-nucleoside reverse transcriptase inhibitor(NNRTI),nucleoside reverse transcriptase inhibitor(NRTI)and protease inhibitor(PI)were 51.70％,19.75％and8.64％,respectively.The univariate analysis showed that year(x2=6.341),age(x2=18.455)and route of infection(x2=14.061)had remarkable effects on the drug resistance among the population with failed ART(P＜0.05).Multivariate regression analysis indicated that the drug resistance rate was higher in 2022 than in 2023(95％CI:1.132 to 2.191),and the drug resistance rate was higher among the population aged less than 60 years old than among the population more than 6 years old(95％CI:3.647 to 70.268,95％CI:1.435 to 8.235,95％CI:1.061 to 6.164,re-spectively).With 1.5％of the genetic distance set as the threshold,the molecular network was established,the network access rate was 49.07％,77.14％of the clusters had drug-resistant mutation sites,and the male population was at higher risk of network access than the female population.CONCLUSIONS The drug resistance rate is relatively high among the AIDS population with failed ART,and the drug-resistant strains appear in clusters in the molecular network.It is neces-sary to further strengthen the monitoring of drug resistance and improve the quality of the follow-up so as to reduce the occurrence of drug resistance and transmission of virulent strains.

Objective:To analyze the epidemiological distribution characteristics, influencing factors, and infection rates of pertussis in the population of Henan Province.Methods:From 2022 to 2023, a cross-sectional survey was conducted to investigate the permanent population in Henan Province. Enzyme-linked immunosorbent assay (ELISA) was used to detect anti-pertussis toxin IgG (PT-IgG), analyze the antibody positivity rate (≥20 IU/ml) and median concentration (MC), and estimate the pertussis infection rate based on PT IgG ≥40 IU/ml. The rank sum test was used to compare antibody levels among groups, and the χ2 test was used to compare antibody positive rates and infection rates among groups. Results:A total of 4 810 research subjects were included in this study. The overall positive rate of PT-IgG was 12.10% and MC was 3.04 (0.35, 10.36) IU/ml. There were significant differences both in positive rates and antibody levels of PT-IgG among different regions or age groups (region positive rate: χ2=134.06, P<0.001, MC: H=337.74, P<0.001; age group positive rate: χ2=45.27, P<0.001, MC: H=134.49, P<0.001). Both the positive rate of PT-IgG (25.26%) and MC (8.01 IU/ml) were the highest within one year after completing a full course of vaccination. There were significant differences in positive rates and antibody levels among people receiving different types of pertussis vaccines (positive rate: χ2=12.38, P=0.006, MC: H=17.93, P<0.001). The antibody positivity rate (35.71%) and MC (8.88 IU/ml) of the people who received cell-free pertussis inactivated poliomyelitis influenza type b (combined) vaccine throughout the course were higher than those who received other types of vaccines. The natural infection rate of pertussis was evaluated for individuals aged≥3 years who had no history of pertussis vaccine immunization within the year prior to sampling. With a high vaccination rate, the estimated infection rate of pertussis in the population was 5 757.22/100 000. The infection rates in the 3-year-old (1 940.16/100 000) and 4-year-old (1 765.68/100 000) populations were at a low level among the entire population, reaching their peak at the age of 6 (12 656.71/100 000). Subsequently, although the infection rate continued to decline, it remained at a high level and peaked again at the age of 40-49 years (8 740.39/100 000). There was a statistically significant difference in the estimated infection rate of pertussis among different age groups ( χ2=53.21, P<0.001). Conclusion:The PT-IgG level of pertussis in the population of Henan Province is generally at a low level. The estimated infection rate of pertussis is much higher than the reported incidence rate. A booster dose of pertussis vaccine is recommended at 6 years old.