Objective To evaluate the bioequivalence and safety of two voriconazole for injection in healthy Chinese subjects,and to explore the safety of the excipient sulfobutyl-β-cyclodextrin.Methods A single-center,single-dose,randomized,open-label,two-preparation,two-period,double-crossover trial design.A total of 18 healthy subjects were enrolled and administrated with a single intravenous infusion of voriconazole test drug and reference drug at 4 mg·kg-1 under fasting conditions,with a sequence determined by randomization.The concentrations of voriconazole in plasma and sulfobutyl-β-cyclodextrin in urine were determined by high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Phoenix WinNonlin 8.2 software was used to calculate pharmacokinetic parameters of voriconazole in plasma,and SAS(version 9.4)software was used to calculate pharmacokinetic parameters of sulfobutyl-β-cyclodextrin in urine and bioequivalence analysis.Results Major pharmacokinetic parameters of voriconazole in plasma after a single intravenous infusion of voriconazole test drug and reference drug in 18 healthy subjects in a fasted state were as follows:Cmax were(2 177.00±399.10)and(2 265.00±378.70)ng·mL-1;AUC0-t were(14 612.07±8 182.95)and(15 144.69±7 814.02)ng·h·mL-1;AUC0-∞ were(16 217.48±10 862.78)and(16 863.18±10695.75)ng·h·mL-1;tmax were 2.00 and 1.98 h,respectively.The 90％confidence intervals of the geometric mean ratios of Cmax,AUC0-t and AUC0-∞ for the two drugs were within the equivalence range of 80.00％to 125.00％.Conclusion The two voriconazole for injection preparations were bioequivalent and safe when administered by intravenous infusion under fasting conditions in healthy Chinese subjects.

Objective: To investigate the effects of lncRNA DRAIC on proliferation, apoptosis, migration and invasion of lung adenocarcinoma cells and its mechanism. Methods: Reverse transcription-quantitative real-time polymerase chain reaction (RT-qPCR) was used to detect the expression of DRAIC in lung cancer tissues and corresponding adjacent normal tissues of 40 patients with lung adenocarcinoma who underwent surgery in Tangshan People's Hospital from 2019 to 2020. Lung adenocarcinoma cells A549 and H1299 were cultured in vitro and divided into si-NC group, si-DRAIC group, miR-NC group, let-7i-5p mimics group, si-DRAIC+ inhibitor-NC group, and si-DRAIC+ let-7i-5p inhibitor group. CCK-8 method and clone formation experiment were used to detect cell proliferation. Flow cytometry was used to detect cell apoptosis. Transwell array was used to detect the cell migration and invasion. Western blot was used to detect the protein expressions of Caspase-3, Caspase-9, Bcl-2 and Bax. The double luciferase reporter gene experiment was used to verify the regulatory relationship between DRAIC and let-7i-5p. Independent sample t test was used for comparison between two groups, one-way ANOVA was used for comparison between multiple groups, and Pearson correlation analysis was used for correlation analysis. Results: Compared with adjacent tissues, the expression level of DRAIC in lung adenocarcinoma tissues increased (P<0.05), but the expression level of let-7i-5p decreased (P<0.05). The expression levels of DRAIC and let-7i-5p in lung adenocarcinoma tissues were negatively correlated (r=-0.737, P<0.05). The absorbance value of A549 and H1299 cells in the si-DRAIC group at 48, 72 and 96 hours were lower than those in the si-NC group (P<0.05), the number of clones formed [(91.00±6.08 vs. 136.67±6.51); (50.67±1.53 vs. 76.67±4.51)], the number of migration [(606.67±31.34 vs. 960.00±33.06); (483.33±45.96 vs. 741.67±29.67)], the number of invasion [(185.00±8.19 vs. 447.33±22.05); (365.00±33.87 vs. 688.00±32.97)] were lower than those in the si-NC group (P<0.05). However, the apoptosis rates of cells [(13.43±2.79)% vs. (4.53±0.42)%; (23.77±1.04)% vs. (6.60±1.42)%] were higher than those in the si-NC group (P<0.05). The protein expressions of Caspase-3, Caspase-9 and Bax in si-DRAIC group were higher than those in si-NC group, and the protein expression of Bcl-2 was lower than that in si-NC group (P<0.05). DRAIC is located in the cytoplasm. DRAIC targeted and negatively regulated the expression of let-7i-5p. The absorbance values of A549 and H1299 cells in the let-7i-5p mimics group at 48, 72 and 96 hours were lower than those in the miR-NC group (P<0.05), the number of clones formed [(131.33±14.47 vs. 171.33±6.11); (59.33±4.93 vs. 80.33±7.09)], the number of migration [(137.67±3.06 vs. 579.33±82.03); (425.00±11.14 vs. 669.33±21.13)], the number of invasion [(54.00±4.36 vs. 112.67±11.59); (80.00±4.58 vs. 333.33±16.80)] were lower than those in the miR-NC group (P<0.05). However, the apoptosis rates of cells [(14.57±1.10)% vs. (6.97±1.11)%; (23.97±0.42)% vs. (7.07±1.21)%] were higher than those in the miR-NC group (P<0.05). The protein expressions of Caspase-3, Caspase-9 and Bax in let-7i-5p mimics group were higher than those in miR-NC group, and the protein expression of Bcl-2 was lower than that in miR-NC group (P<0.05). The absorbance values of A549 and H1299 cells in the si-DRAIC+ let-7i-5p inhibitor group at 48, 72 and 96 hours were higher than those in the si-DRAIC+ inhibitor-NC group (P<0.05), the number of clones formed [(82.00±5.29 vs. 59.00±5.57); (77.67±4.93 vs. 41.33±7.57)], the number of migration [(774.33±35.81 vs. 455.67±19.04); (569.67±18.72 vs. 433.67±16.77)], the number of invasion [(670.33±17.21 vs. 451.00±17.52); (263.67±3.06 vs. 182.33±11.93)] were higher than those in the si-DRAIC+ inhibitor-NC group (P<0.05). However, the apoptosis rates of cells [(7.73±0.45)% vs. (19.13±1.50)%; (8.00±0.53)% vs. (28.40±0.53)%] were lower than those in the si-NC group (P<0.05). The protein expressions of Caspase-3, Caspase-9 and Bax in si-DRAIC+ let-7i-5p inhibitor group were higher than those in si-DRAIC+ inhibitor-NC group, and the protein expression of Bcl-2 was lower than that in si-DRAIC+ inhibitor-NC group (P<0.05). Conclusion: DRAIC is highly expressed in lung adenocarcinoma, and DRAIC promotes the proliferation, migration and invasion of lung adenocarcinoma cells and inhibits apoptosis by targeting let-7i-5p.
Humans ; Adenocarcinoma/genetics* ; Apoptosis/genetics* ; bcl-2-Associated X Protein/metabolism* ; Caspase 3/metabolism* ; Caspase 9/metabolism* ; Cell Line, Tumor ; Cell Proliferation/genetics* ; Lung/metabolism* ; MicroRNAs/metabolism* ; Proto-Oncogene Proteins c-bcl-2/metabolism* ; RNA, Long Noncoding/genetics*

This study aimed to explore the anti-inflammatory material basis and molecular mechanism of Artemisia stolonifera based on the analysis of the chemical components in different extracted fractions of A. stolonifera and their antioxidant and anti-inflammatory effects in combination with network pharmacology and molecular docking. Thirty-two chemical components were identified from A. stolonifera by ultra-performance liquid chromatography coupled to tandem quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS). Among them, there were 7, 21 and 22 compounds in water, n-butanol and ethyl acetate fractions, respectively. The antio-xidant capacity of different extracted fractions was evaluated by measuring their scavenging ability against 1,1-diphenyl-2-picrylhydrazyl radical 2,2-diphenyl-1-(2,4,6-trinitrophenyl) hydrazyl(DPPH) and 2,2'-azinobis-(3-ethylbenzthiazoline-6-sulphonic acid)(ABTS) free radicals and total antioxidant capacity [ferric reducing antioxidant power(FRAP) assay]. The inflammatory model of RAW264.7 cells was induced by lipopolysaccharide(LPS), and the levels of nitrite oxide(NO), tumor necrosis factor-α(TNF-α), interleukin-6(IL-6) in the supernatant and the mRNA expression of related inflammatory factors in cells were used to evaluate the anti-inflammatory effects. The results revealed that ethyl acetate fraction of A. stolonifera was the optimal antioxidant and anti-inflammatory fraction. By network pharmacology, it was found that flavonoids such as rhamnazin, eupatilin, jaceosidin, luteolin and nepetin could act on key targets such as TNF, serine/threonine protein kinase 1(AKT1), tumor protein p53(TP53), caspase-3(CASP3) and epidermal growth factor receptor(EGFR), and regulate the phosphatidylinositol-3-kinase-protein kinase B(PI3K-AKT) and mitogen-activated protein kinase(MAPK) signaling pathways to exert the anti-inflammatory effects. Molecular docking further indicated excellent binding properties between the above core components and core targets. This study preliminarily clarified the anti-inflammatory material basis and mechanism of ethyl acetate fraction of A. stolonifera, providing a basis for the follow-up clinical application of A. stolonifera and drug development.
Antioxidants/chemistry* ; Molecular Docking Simulation ; Artemisia ; Network Pharmacology ; Phosphatidylinositol 3-Kinases ; Anti-Inflammatory Agents/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Interleukin-6

Objective: To understand the distribution of genotypes and sub-genotypes of HBV in different ethnic groups in China. Methods: The HBsAg positive samples were selected by stratified multi-stage cluster sampling from the sample base of national HBV sero-epidemiological survey in 2020 for the amplification of S gene of HBV by nested PCR. A phylogeny tree was constructed to determine the genotypes and sub-genotypes of HBV. The distribution of genotypes and sub-genotypes of HBV were analyzed comprehensively by using laboratory data and demographic data. Results: A total of 1 539 positive samples from 15 ethnic groups were successfully amplified and analyzed, and 5 genotypes (B, C, D, I and C/D) were detected. The proportion of genotype B was higher in ethnic group of Han (74.52%, 623/836), Zhuang (49.28%, 34/69), Yi (53.19%, 25/47), Miao (94.12%, 32/34), Buyi (81.48%, 22/27). The proportions of genotype C were higher in ethnic groups of Yao (70.91%, 39/55). Genotype D was the predominant genotype in Uygur (83.78%, 31/37). Genotype C/D were detected in Tibetan (92.35%,326/353). In this study, 11 cases of genotype I were detected, 8 of which were distributed in Zhuang nationality. Except for Tibetan, sub-genotype B2 accounted for more than 80.00% in genotype B in all ethnic groups. The proportions of sub-genotype C2 were higher in 8 ethnic groups, i.e. Han, Tibetan, Yi, Uygur, Mongolian, Manchu, Hui and Miao. The proportions of sub-genotype C5 were higher in ethnic groups of Zhuang (55.56%, 15/27) and Yao (84.62%, 33/39). For genotype D, sub-genotype D3 was detected in Yi ethnic group and sub-genotype D1 was detected in both Uygur and Kazak. The proportions of sub-genotype C/D1 and C/D2 in Tibetan were 43.06% (152/353) and 49.29% (174/353). For all the 11 cases of genotype I infection, only sub-genotype I1 was detected. Conclusions: Five genotypes and 15 sub-genotypes of HBV were found in 15 ethnic groups. There were significant differences in the distribution of genotypes and sub-genotypes of HBV among different ethnic groups.
Humans ; Asian People ; China/epidemiology* ; Ethnicity ; Genotype ; Gerbillinae ; Hepatitis B virus/genetics* ; Hepatitis B/virology*

Objective: To identify the risk factors in mortality of pediatric acute respiratory distress syndrome (PARDS) in pediatric intensive care unit (PICU). Methods: Second analysis of the data collected in the "efficacy of pulmonary surfactant (PS) in the treatment of children with moderate to severe PARDS" program. Retrospective case summary of the risk factors of mortality of children with moderate to severe PARDS who admitted in 14 participating tertiary PICU between December 2016 to December 2021. Differences in general condition, underlying diseases, oxygenation index, and mechanical ventilation were compared after the group was divided by survival at PICU discharge. When comparing between groups, the Mann-Whitney U test was used for measurement data, and the chi-square test was used for counting data. Receiver Operating Characteristic (ROC) curves were used to assess the accuracy of oxygen index (OI) in predicting mortality. Multivariate Logistic regression analysis was used to identify the risk factors for mortality. Results: Among 101 children with moderate to severe PARDS, 63 (62.4%) were males, 38 (37.6%) were females, aged (12±8) months. There were 23 cases in the non-survival group and 78 cases in the survival group. The combined rates of underlying diseases (52.2% (12/23) vs. 29.5% (23/78), χ²=4.04, P=0.045) and immune deficiency (30.4% (7/23) vs. 11.5% (9/78), χ²=4.76, P=0.029) in non-survival patients were significantly higher than those in survival patients, while the use of pulmonary surfactant (PS) was significantly lower (8.7% (2/23) vs. 41.0% (32/78), χ²=8.31, P=0.004). No significant differences existed in age, sex, pediatric critical illness score, etiology of PARDS, mechanical ventilation mode and fluid balance within 72 h (all P>0.05). OI on the first day (11.9(8.3, 17.1) vs.15.5(11.7, 23.0)), the second day (10.1(7.6, 16.6) vs.14.8(9.3, 26.2)) and the third day (9.2(6.6, 16.6) vs. 16.7(11.2, 31.4)) after PARDS identified were all higher in non-survival group compared to survival group (Z=-2.70, -2.52, -3.79 respectively, all P<0.05), and the improvement of OI in non-survival group was worse (0.03(-0.32, 0.31) vs. 0.32(-0.02, 0.56), Z=-2.49, P=0.013). ROC curve analysis showed that the OI on the thind day was more appropriate in predicting in-hospital mortality (area under the curve= 0.76, standard error 0.05,95%CI 0.65-0.87,P<0.001). When OI was set at 11.1, the sensitivity was 78.3% (95%CI 58.1%-90.3%), and the specificity was 60.3% (95%CI 49.2%-70.4%). Multivariate Logistic regression analysis showed that after adjusting for age, sex, pediatric critical illness score and fluid load within 72 h, no use of PS (OR=11.26, 95%CI 2.19-57.95, P=0.004), OI value on the third day (OR=7.93, 95%CI 1.51-41.69, P=0.014), and companied with immunodeficiency (OR=4.72, 95%CI 1.17-19.02, P=0.029) were independent risk factors for mortality in children with PARDS. Conclusions: The mortality of patients with moderate to severe PARDS is high, and immunodeficiency, no use of PS and OI on the third day after PARDS identified are the independent risk factors related to mortality. The OI on the third day after PARDS identified could be used to predict mortality.
Female ; Male ; Humans ; Child, Preschool ; Infant ; Child ; Critical Illness ; Pulmonary Surfactants/therapeutic use* ; Retrospective Studies ; Risk Factors ; Respiratory Distress Syndrome/therapy*

Aim To investigate the effect of silencing circRNA ciRS-7 on cisplatin resistance of gastric cancer cells and its related mechanism. Methods Cisplatin-resistant gastric cancer cells HGC-27/DDP were constructed, ciRS-7 was silenced and HGC-27/DDP cells were treated with cisplatin. Real-time quantitative PCR (qRT-PCR) was used to detect the expression levels of ciRS-7 and microrNA-944 (miR-944). Cell counting kit-8 (CCK-8) was used to detect cell survival rate. Clone formation assay was used to detect the number of clones. Western blot was used to detect the protein expression levels of CyclinD1, proliferating cell nuclear antigen (PCNA), B-lymphocytoma-2-associated X protein (Bax), B-lymphocytoma-2 (Bcl-2) and cleaved aspartate-specific cysteine proteinase 3 (cleaved-caspase-3). Flow cytometry was used to detect cell apoptosis rate. In situ end labeling (TUNEL) was used to detect apoptosis index. Dual luciferase assay was used to verify the targeting relationship between ciRS-7 and miR-944. Results CiRS-7 was highly expressed in cisplatin-resistant gastric cancer tissues and cells, while miR-944 was low expressed in cisplatin-resistant gastric cancer tissues and cells. The survival rate, clonal formation number, protein expression levels of CyclinD1, PCNA and Bcl-2 in cisplatin-treated HGC-27/DDP cells were significantly reduced by silencing ciRS-7, while ciRS-7 expression level, apoptosis rate, apoptosis index, Bax, cleaved-caspase-3 protein expression levels of cisplatin-treated HGC-27/DDP cells were significantly raised. CiRS-7 targetedly inhibited the expression of miR-944. Conclusions Silencing ciRS-7 can reverse cisplatin resistance of gastric cancer cells, and the mechanism may be related to the promotion of miR-944 expression by silencing ciRS-7.

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

Objective: To investigate the poisonous substances and geographical distribution of poisoning in children in China. Methods: A cross-sectional study. The clinical data of 8 385 hospitalized children from January 2016 to December 2020 were extracted from the FUTang Updating Medical Records database. These children aged 0 to 18 years and were admitted due to poisoning. They were grouped according to age (newborns and infants, toddlers, preschoolers, school-age children, adolescents), place of residence (Northeast China, North China, Central China, East China, South China, Southwest China, Northwest China), and mode of discharge (discharge under medical advice, transfer to another hospital under medical advice, discharge without medical advice, death, other). The poisonous substance and causes of poisoning in different groups were analyzed. Results: Among these 8 385 children, 4 734 (56.5%) were male and 3 651 (43.5%) female, with a male-to-female ratio of 1.3∶1. The age was 3 (2, 7) years. The prevalence of poisoning was 51.8% (4 343/8 385) in toddlers, 16.5% (1 380/8 385) in adolescents, 14.8% (1 242/8 385) in preschoolers, 14.4% (1 206/8 385) in school-age children, and 2.5% (214/8 385) in newborns and infants. Drug poisoning accounted for 43.5% (3 649/8 385) and pesticide accounted for 26.8% (2 249/8 385). Drug poisoning was more common in adolescents (684/1 380, 49.6%) and toddlers (2 041/4 343, 47.0%); non-drug poisoning was more common in school-age children (891/1 206, 73.9%), of which carbon monoxide was mainly in newborns and infants (41/214, 19.2%) and food poisoning in children of school age (241/1 206, 20.0%). Regarding regional characteristics, drug poisoning was more frequent in South China (188/246, 64.2%) and non-drug poisoning was more frequent in Southwest China (815/1 123, 72.5%). For drugs, anti-epileptic drugs, sedative-hypnotic drugs and anti-Parkinson's disease drugs had a higher proportion of poisoning in North China (138/1 034, 13.0%) than that in other regions. For non-drug poisoning, pesticides (375/1 123, 33.3%), food poisoning (209/1 123, 18.6%) and contact with poisonous animals (86/1 123, 7.7%) were more common in Southwest China than in other regions; carbon monoxide poisoning was more common in North China (81/1 034, 7.6%) and Northwest China (65/1 064, 6.3%). In Central China, poisoning happened more in toddlers (792/1 295, 61.2%) and less in adolescents (115/1 295, 8.8%) than in other regions. Regarding different age groups, poisoning in adolescent happened more in Northeast China (121/457, 26.5%), North China (240/1 034, 23.2%), and Northwest China (245/1 064, 23.0%). The rate of discharge under medical advice, discharge without medical advice, and mortality rate within the 5 years were 77.0% (6 458/8 385), 20.8% (1 743/8 385), 0.5% (40/8 385), respectively. Conclusions: Poisoning is more common in male and toddlers. Poisonous substances show a regional characteristic and vary in different age groups, with drugs and insecticides as the most common substances.
Infant ; Adolescent ; Animals ; Child ; Male ; Humans ; Infant, Newborn ; Female ; Child, Hospitalized ; Cross-Sectional Studies ; Carbon Monoxide Poisoning/epidemiology* ; Pesticides ; Foodborne Diseases ; Hospitals ; Drug-Related Side Effects and Adverse Reactions ; China/epidemiology*

Objective: To study the effects of dihydromyricetin (DMY) on the proliferation, apoptosis and epithelial mesenchymal transition (EMT) of esophageal squamous cell carcinoma (ESCC) cell KYSE150 and KYSE410. Methods: KYSE150 and KYSE410 cells were treated with different concentrations of DMY (0, 25, 50, 100, 150, 200 μmol/L) for 24 hours. The median inhibition concentration (IC₅₀) values of KYSE150 and KYSE410 were detected by cell counting kit-8 (CCK-8) method. Then 0.5‰ dimethyl sulfoxide (DMSO) was used as control group, dihydromyricetin (DMY), dihydromyricetin and transforming growth factor-β1 (DMY+ TGF-β1), transforming growth factor-β1 (TGF-β1) were used as experimental group. Cell proliferation and apoptosis rates were measured by clonal formation and flow cytometry. Transwell invasion and wound healing assay were used to detect cell invasion and migration. The protein expression levels of Caspase-3, Caspase-9, Bcl-2, Bax, Smad2/3, phosphorylation-Smad2/3 (p-Smad2/3) and Vimentin were detected by western blot. Results: The IC₅₀ values of DMY on KYSE410 and KYSE150 cells were 100.51 and 101.27 μmol/L. The clone formation numbers of KYSE150 and KYSE410 in DMY group [(0.53±0.03) and (0.31±0.03)] were lower than those in DMSO group [(1.00±0.10) and (1.00±0.05), P<0.05]. The apoptosis rates of KYSE150 and KYSE410 cells in DMY group [(1.84±0.22)% and (2.80±0.07)%] were higher than those in DMSO group [(1.00±0.18)% and (1.00±0.07)%, P<0.05]. The invasion numbers of KYSE150 and KYSE410 cells in DMY group [(0.42±0.03) and (0.29±0.05)] were lower than those in DMSO group [(1.00±0.08) and (1.00±0.05), P<0.05]. The migration rates of KYSE150 and KYSE410 cells in DMY group [(0.65±0.14)% and (0.40±0.17)%] were lower than those in DMSO group [(1.00±0.10)% and (1.00±0.08)%, P<0.05]. The clone formation numbers of KYSE150 and KYSE410 in TGF-β1 group [(1.01±0.08) and (0.99±0.25)] were higher than those in DMY+ TGF-β1 group [(0.73±0.10) and (0.58±0.05), P<0.05]. The apoptosis rates of KYSE150 and KYSE410 cells in TGF-β1 group [(0.81±0.14)% and (1.18±0.10)%] were lower than those in DMY+ TGF-β1 group [(1.38±0.22)% and (1.85±0.04)%, P<0.05]. The invasion numbers of KYSE150 and KYSE410 cells in TGF-β1 group [(1.19±0.11) and (1.39±0.11)] were higher than those in DMY+ TGF-β1 group [(0.93±0.09) and (0.93±0.05), P<0.05]. The migration rates of KYSE150 and KYSE410 cells in TGF-β1 group [(1.87±0.19)% and (1.32±0.04)%] were higher than those in DMY+ TGF-β1 group [(0.86±0.16)% and (0.77±0.12)%, P<0.05]. The protein expression levels of Bax, Caspase-3 and Caspase-9 in KYSE150 and KYSE410 cells in DMY group were higher than those in DMSO group, while the protein expression level of Bcl-2 was lower than that in DMSO group (P<0.05). The protein expression levels of p-Smad2/3, Smad2/3 and Vimentin in KYSE150 and KYSE410 cells in DMY group were lower than those in DMSO group (P<0.05). The protein expression levels of Bax, Caspase-3 and Caspase-9 in KYSE150 and KYSE410 cells in TGF-β1 group were lower than those in DMY+ TGF-β1 group, and the protein expression level of Bcl-2 was higher than that in DMY+ TGF-β1 group (P<0.05). The protein expression levels of Bax, Caspase-3 and Caspase-9 in KYSE150 and KYSE410 cells in DMY+ TGF-β1 group were lower than those in DMY group, and the protein expression level of Bcl-2 was higher than that in DMY group (P<0.05). The protein expression levels of p-Smad2/3, Smad2/3 and Vimentin in KYSE150 and KYSE410 cells in TGF-β1 group were higher than those in DMY+ TGF-β1 group (P<0.05). Conclusion: DMY can inhibit the proliferation and EMT of ESCC mediated by TGF-β1 and promote cell apoptosis.
Apoptosis ; Caspase 3/metabolism* ; Caspase 9/metabolism* ; Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; Dimethyl Sulfoxide/pharmacology* ; Epithelial-Mesenchymal Transition ; Esophageal Neoplasms/metabolism* ; Esophageal Squamous Cell Carcinoma ; Flavonols ; Humans ; Signal Transduction ; Transforming Growth Factor beta1/pharmacology* ; Vimentin/metabolism* ; bcl-2-Associated X Protein/pharmacology*

Objective: To investigate the association between high sensitivity C-reactive protein (hsCRP) level and new-onset hypertension in different age groups. Methods: This was a prospective cohort study involving non-hypertensive population in Kailuan Group community who participated in health examination between 2006 and 2007.Follow-up was conducted every 2 years, and the time of new onset of hypertension was used as the endpoint of follow-up. The endtime of follow-up for patients without hypertension was the time of death or the last follow-up (December 31, 2017).According to the baseline hsCRP level, the participants were divided into low-risk group (hsCRP<1.0 mg/L), medium-risk group (hsCRP ≥1.0 and ≤3.0 mg/L), and high-risk group (hsCRP>3.0 mg/L), and further stratified by age. Kaplan-Meier method was used to calculate the cumulative incidence of hypertension in each group. Multivariate Cox regression model was used to analyze the association between hsCRP level and new-onset hypertension. Results: A total of 51 179 participants were included in this study, including 38 606 males (75.43%) with an average age of (48.1±12.2) years. The baseline hsCRP was 0.64 (0.25, 1.60) mg/L. The baseline hsCRP was 0.30 (0.16, 0.59), 1.57 (1.20, 2.10), 5.17 (3.80, 7.10) mg/L respectively in low-, medium- and high-risk groups. During the follow-up of (8.1±2.2) years, a total of 9 523 (18.60%) patients developed hypertension, and the cumulative incidence rates of low-, medium- and high-risk groups were 17.41%, 20.48% and 20.73%, respectively. The cumulative incidence of hypertension in low-, medium- and high-risk groups of<45, 45-54, 55-64, ≥65 years old were 13.53%, 15.82%, 16.76%; 19.27%, 22.84%, 21.62%; 21.55%, 24.19%, 24.88%;20.20%, 22.35%, 19.11%, respectively. Except for people aged ≥65 years, there were significant differences in the cumulative incidence of hypertension in low-, medium- and high-risk groups (all P<0.05).Multivariate Cox regression analysis showed that the risk of new-onset hypertension in the high risk group was 1.11 times higher than that in the low risk group (HR=1.11, 95%CI 1.05-1.18). The risk of new-onset hypertension in the high-risk group was 1.22 times (HR=1.22, 95%CI 1.08-1.38), 1.14 times (HR=1.14, 95%CI 1.04-1.26), 1.16 times (HR=1.16, 95%CI 1.04-1.30), and 1.02 times (HR=1.02, 95%CI 0.86-1.20) of the low-risk group, in the<45, 45-54, 55-64, and ≥65 years old groups, respectively. Conclusion: Higher hsCRP level is a risk factor for new-onset hypertension, and the risk of developing hypertension caused by elevated hsCRP is age-dependent.
Male ; Humans ; Adult ; Middle Aged ; Aged ; C-Reactive Protein ; Prospective Studies ; Hypertension/diagnosis* ; Risk Factors ; Incidence