The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified SmIAA7 which is potentially associated with Salvia miltiorrhiza leaf development through comparatively analyzed the transcriptome data from different pinnate leaves. SmIAA7 was successfully isolated from S. miltiorrhiza using the specific primers. Then subsequent bioinformatic analysis, prokaryotic expression and purification, subcellular localization, and induction expression analysis under auxin and abiotic stress were performed. The full-length of SmIAA7 contained an ORF of 684 bp encoding a protein of 227 amino acid with a molecular weight of 25.3 kD. Conserved domain analysis showed that SmIAA7 contains the conserved Aux_IAA domain (pfam02309). Sequence analysis and phylogenetic tree analysis results indicated SmIAA7 was phylogenetically close to IAA7 and IAA14 from other plants, suggesting SmIAA7 involved in plant growth and development as well as response to environmental stresses. The prokaryotic expression vector pET28a-SmIAA7 was constructed and SmIAA7 recombinant protein was successfully expressed in E. coli Rosetta (DE3) strain. Subcellular localization experiment demonstrated that SmIAA7 localized in the nucleus of plant cells. Real-time fluorescence quantitative PCR results showed that the expression level of SmIAA7 was upregulated in response to auxin. Drought, low temperature, and salt stress significantly increased the transcript level of SmIAA7 gene. This study lays a foundation for further elucidating the role of SmIAA7 in leaf development, signal transduction, and stress defense in S. miltiorrhiza.

Arsenic compounds are widely used for the therapeutic intervention of multiple diseases.Ancient pharmacologists discovered the medicinal utility of these highly toxic substances,and modern phar-macologists have further recognized the specific active ingredients in human diseases.In particular,Arsenic trioxide(ATO),as a main component,has therapeutic effects on various tumors(including leukemia,hepatocellular carcinoma,lung cancer,etc.).However,its toxicity limits its efficacy,and con-trolling the toxicity has been an important issue.Interestingly,recent evidence has pointed out the pivotal roles of arsenic compounds in phase separation and membraneless organelles formation,which may determine their toxicity and therapeutic efficacy.Here,we summarize the arsenic compounds-regulating phase separation and membraneless organelles formation.We further hypothesize their potential involvement in the therapy and toxicity of arsenic compounds,highlighting potential mecha-nisms underlying the clinical application of arsenic compounds.

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 association of isolated thyroid peroxidase antibody (TPOAb) positive in the first trimester with fetal growth. METHODS: A total of 16 446 pregnant women were included in the birth cohort study, whose last menstrual period was between May 2016 and April 2019 and with singleton pregnancy. Maternal serum samples were collected when they firstly came for prenatal care in the first trimester. The pregnant women were consecutively seen and followed in the hospital and the information of pregnant women was extracted from the electronic medical information system. The pregnant women were divided into isolated TPOAb positive group (n=1 654) and euthyroid group (n=14 792). Three fetal ultrasound examinations were scheduled during the routine prenatal visits at the hospital and were performed by trained sonographers. All fetal growth indicators were quantified as gestational age- and gender- adjusted standard deviation score (Z-score) using the generalized additive models for location, scale and shape (GAMLSS). Fetal growth indicators included estimated fetal weight (EFW), abdominal circumference (AC), biparietal diameter (BPD), femur length (FL) and head circumference (HC). Fetal growth restriction (FGR) was defined as AC or EFW Z-score＜3rd centile based on clinical consensus. Generalized estimating equation (GEE) analysis was applied to assess the association of maternal isolated TPOAb positive with fetal growth. The generalized linear model was further used to analyze the association between isolated TPOAb positive and fetal growth indicator at different gestational ages when the fetal growth indicator was significantly associated with isolated TPOAb positive in the GEE mo-del. RESULTS: The median gestational age at three ultrasound measurements was 23.6 (23.3, 24.1), 30.3 (29.7, 30.9), 37.3 (37.0, 37.7) weeks, respectively. The BPD Z-score was higher in isolated TPOAb positive women, compared with the euthyroid pregnant women after adjustment (β=0.057, 95%CI: 0.014-0.100, P=0.009). The generalized linear model showed the BPD Z-score was higher in the isolated TPOAb positive women at the end of 21-25 weeks (β=0.052, 95%CI: 0.001-0.103, P=0.044), 29-32 weeks (β=0.055, 95%CI: 0.004-0.107, P=0.035) and 36-40 weeks (β=0.068, 95%CI: 0.011-0.125, P=0.020), compared with the euthyroid pregnant women. There was no difference in other fetal growth indicators (EFW, AC, FL and HC) and FGR between the isolated TPOAb positive and euthyroid pregnant women. CONCLUSION The BPD Z-score was slightly increased in the isolated TPOAb positive pregnant women in the first trimester, while other fetal growth indicators were not changed. The reproducibility and practical significance of this result need to be confirmed.
Pregnancy ; Female ; Humans ; Pregnancy Trimester, First ; Iodide Peroxidase ; Cohort Studies ; Reproducibility of Results ; Fetal Development ; Fetal Weight ; Fetal Growth Retardation ; Ultrasonography, Prenatal

Objective To explore the relationship of menarche age,menopause age,and reproductive period with cognitive function in the female patients with hypertension.Methods Hypertension screening was carried out in Wuyuan county of Jiangxi province from July to August in 2018.Data were collected through a face-to-face questionnaire survey,physical measurement,and biochemical tests.The cognitive function was scored according to the mini-mental state examination(MMSE)scale.Multiple linear regression and Logistic regression were employed to analyze the effects of menarche age,menopause age,and reproductive period on cognitive function,and the penalized spline regression to fit the curves.Results A total of 4595 postmenopausal women with hypertension were included in the analysis,with the mean age of(65.1±8.4)years,mean menarche age of(16.6±2.2)years,mean menopause age of(48.2±5.0)years,mean reproductive period of(31.7±5.5)years,mean MMSE score of(19.0±6.3)points,and total cognitive impairment detection rate of 40.4%(1859/4595).The detection rates of cognitive impairment were 28.4%,39.1%,and 45.8% in the females with the menarche ages of <15,15-16,and ≥17 years,47.9%,39.7%,and 38.3% in the females with the menopausal ages of <45,45-49,and ≥50 years,and 56.0%,44.4%,40.6%,and 32.6% in the females with the reproductive periods of <25,25-29,30-34,and ≥35 years,respectively.Moreover,the detection rates of cognitive impairment among different age groups were statistically significant(all P<0.05).Compared with the group with the menarche age <15 years,the groups with the menarche ages of 15-16 years and ≥17 years showed increased detection rates of cognitive impairment(OR=1.45,95%CI=1.19-1.75,P<0.001;OR=1.65,95%CI=1.37-1.98,P<0.001).Compared with the group with the menopausal age <45 years,the groups with the menopausal ages of 45-49 years and ≥50 years showed decreased detection rates of cognitive impairment(OR=0.80,95%CI=0.66-0.95,P=0.013;OR=0.78,95%CI=0.65-0.93,P<0.001).Compared with the group with the reproductive period <25 years,the groups with the reproductive periods of 25-29,30-34,and ≥35 years showed decreased detection rates of cognitive impairment(OR=0.66,95%CI=0.52-0.84,P<0.001;OR=0.62,95%CI=0.50-0.76,P<0.001;OR=0.51,95%CI=0.41-0.63,P<0.001).Conclusion The detection rate of cognitive impairment had a positive correlation with menarche age and negative correlations with menopause age and reproductive period in the female patients with hypertension.
Humans ; Female ; Middle Aged ; Aged ; Adolescent ; Menopause ; Menarche ; Reproduction ; Hypertension ; Cognition ; Age Factors ; Risk Factors

Objective To explore the association between plasma homocysteine (Hcy) level and hyper-uricemia (HUA) in the elderly patients with hypertension.Methods From March to August in 2018,9902 hypertensive patients ≥ 60 years were routinely tested for blood biochemical indicators in Wuyuan county,Jiangxi province.The patients were assigned into a HUA group and a normal uric acid group.Multivariate Logistic regression was adopted to analyze the relationship between Hcy level and the risk of HUA.Results Compared with the normal uric acid group,the HUA group showed increased incidence of hyperhomocysteinemia (99.9% vs.98.7%,P<0.001) and elevated Hcy level[16.8 (13.8-21.5) μmol/L vs.14.4 (12.3-17.7) μmol/L,P<0.001].The multivariate Logistic regression analysis showed that after adjusting for influencing factors,the risk of HUA in the patients with hyperhomocysteinemia was 2.92 times of that in the patients with a normal Hcy level.The threshold effect analysis showed that the Hcy level was positively correlated with the occurrence of HUA in the case of Hcy<20 μmol/L (OR=1.05,95%CI=1.04-1.07,P<0.001).In the case of Hcy ≥ 20 μmol/L,there was no correlation between Hcy level and HUA (OR=1.00,95%CI=0.99-1.00,P=0.055),and the likelihood ratio test showed statistically significant results (P<0.001).Conclusion The elderly with hypertension should pay attention to control the Hcy level,which will be helpful to prevent the occurrence of HUA.
Humans ; Aged ; Hyperuricemia/complications* ; Hyperhomocysteinemia/epidemiology* ; Uric Acid ; Hypertension ; Homocysteine ; Risk Factors

Recent studies revealed the relationship among homologous recombination repair (HRR), androgen receptor (AR), and poly(adenosine diphosphate-ribose) polymerase (PARP); however, the synergy between anti-androgen enzalutamide (ENZ) and PARP inhibitor olaparib (OLA) remains unclear. Here, we showed that the synergistic effect of ENZ and OLA significantly reduced proliferation and induced apoptosis in AR-positive prostate cancer cell lines. Next-generation sequencing followed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed the significant effects of ENZ plus OLA on nonhomologous end joining (NHEJ) and apoptosis pathways. ENZ combined with OLA synergistically inhibited the NHEJ pathway by repressing DNA-dependent protein kinase catalytic subunit (DNA-PKcs) and X-ray repair cross complementing 4 (XRCC4). Moreover, our data showed that ENZ could enhance the response of prostate cancer cells to the combination therapy by reversing the anti-apoptotic effect of OLA through the downregulation of anti-apoptotic gene insulin-like growth factor 1 receptor ( IGF1R ) and the upregulation of pro-apoptotic gene death-associated protein kinase 1 ( DAPK1 ). Collectively, our results suggested that ENZ combined with OLA can promote prostate cancer cell apoptosis by multiple pathways other than inducing HRR defects, providing evidence for the combined use of ENZ and OLA in prostate cancer regardless of HRR gene mutation status.
Male ; Humans ; Prostatic Neoplasms, Castration-Resistant/genetics* ; Drug Resistance, Neoplasm/genetics* ; Cell Line, Tumor ; Receptors, Androgen/genetics* ; Nitriles ; Apoptosis

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*

This study aimed to explore the potential mechanism of Berberis atrocarpa Schneid. anthocyanin against Alzheimer's disease(AD) based on network pharmacology, molecular docking technology, and in vitro experiments. Databases were used to screen out the potential targets of the active components of B. atrocarpa and the targets related to AD. STRING database and Cytoscape 3.9.0 were adopted to construct a protein-protein interaction(PPI) network and carry out topological analysis of the common targets. Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were performed on the target using the DAVID 6.8 database. Molecular docking was conducted to the active components and targets related to the nuclear factor kappa B(NF-κB)/Toll-like receptor 4(TLR4) pathway. Finally, lipopolysaccharide(LPS) was used to induce BV2 cells to establish the model of AD neuroinflammation for in vitro experimental validation. In this study, 426 potential targets of active components of B. atrocarpa and 329 drug-disease common targets were obtained, and 14 key targets were screened out by PPI network. A total of 623 items and 112 items were obtained by GO functional enrichment analysis and KEGG pathway enrichment analysis, respectively. Molecular docking results showed that NF-κB, NF-κB inhibitor(IκB), TLR4, and myeloid differentiation primary response 88(MyD88) had good binding abilities to the active components, and malvidin-3-O-glucoside had the strongest binding ability. Compared with the model group, the concentration of nitric oxide(NO) decreased at different doses of malvidin-3-O-glucoside without affecting the cell survival rate. Meanwhile, malvidin-3-O-glucoside down-regulated the protein expressions of NF-κB, IκB, TLR4, and MyD88. This study uses network pharmacology and experimental verification to preliminarily reveal that B. atrocarpa anthocyanin can inhibit LPS-induced neuroinflammation by regulating the NF-κB/TLR4 signaling pathway, thereby achieving the effect against AD, which provides a theoretical basis for the study of its pharmacodynamic material basis and mechanism.
NF-kappa B ; Alzheimer Disease ; Network Pharmacology ; Anthocyanins ; Berberis ; Lipopolysaccharides ; Molecular Docking Simulation ; Myeloid Differentiation Factor 88 ; Neuroinflammatory Diseases ; Toll-Like Receptor 4 ; I-kappa B Proteins

Objective To explore the roles of different insulin resistance indexes[triglyceride-glucose (TyG),triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C),and metabolic score for insulin resistance (METS-IR)]and combinations of two indexes in predicting diabetes risk in hypertensive population. Methods The survey of hypertension was conducted for the residents in Wuyuan county,Jiangxi province from March to August in 2018.The basic information of hypertensive residents was collected by interview.Blood was drawn on an empty stomach in the morning and physical measurements were carried out.Logistic regression model was employed to analyze the relationship between different insulin resistance indexes and diabetes,and the area under the receiver operating characteristic curve was used for evaluating the predictive effects of each index on diabetes risk. Results A total of 14 222 hypertensive patients with an average age of (63.8±9.4) years old were included in this study,including 2616 diabetic patients.The diabetic hypertensive population had higher TyG (t=50.323,P<0.001),TG/HDL-C (Z=17.325,P<0.001),and METS-IR (t=28.839,P<0.001) than the non-diabetic hypertensive population.Multivariate analysis showed that each insulin resistance index was positively correlated with diabetes risk.The area under curve of each insulin index was in a descending order of TyG (0.770)> METS-IR (0.673)> TG/HDL-C (0.620).The difference in the area under curve between two indexes was statistically significant[TyG vs.TG/HDL-C (Z=42.325,P<0.001);TyG vs.METS-IR(Z=17.517,P<0.001);METS-IR vs.TG/HDL-C (Z=10.502,P<0.001)]. Conclusions Elevated insulin resistance indexes can increase the risk of diabetes.TyG and the combination of indexes outperform TG/HDL-C and METS-IR in the prediction of diabetes.
Humans ; Middle Aged ; Aged ; Insulin Resistance ; Blood Glucose/metabolism* ; Biomarkers ; Diabetes Mellitus ; Hypertension ; Glucose ; Triglycerides ; Cholesterol, HDL