Association of long-term triglyceride-glucose index patterns with the incidence of chronic kidney disease among non-diabetic population: evidence from a functional community cohort.

BACKGROUND: The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance and previous studies have confirmed the association of TyG index with incident chronic kidney disease (CKD). However, the impact of longitudinal patterns of TyG index on CKD risk among non-diabetic population is still unknown. Therefore, this study aimed to investigate the association of longitudinal patterns of TyG index with incident CKD among non-diabetic population. METHODS: A total of 5484 non-diabetic participants who underwent one health examination per year from 2015 to 2017 were included in this prospective study. TyG index variability and cumulative TyG index were calculated to assess the longitudinal patterns of TyG index. Cox proportional hazard models were performed to estimate the association of TyG index variability or cumulative TyG index with incident CKD. RESULTS: During a median of 3.82 years follow-up, 879 participants developed CKD. Compared with participants in the lowest quartile, the hazard ratio (HR) and 95% confidence interval (CI) of incident CKD were 1.772 (95% CI: 1.453, 2.162) for the highest TyG index variability quartile and 2.091 (95% CI: 1.646, 2.655) for the highest cumulative TyG index quartile in the fully adjusted models. The best discrimination and reclassification improvement were observed after adding baseline TyG, TyG index variability and cumulative TyG index to the clinical risk model for CKD. CONCLUSIONS: Both TyG index variability and cumulative TyG index can independently predict incident CKD among non-diabetic population. Monitoring longitudinal patterns of TyG index may assist with prediction and prevention of incident CKD.

I2-DMSO-Mediated Construction of 2,3- and 2,4-Disubstituted Pyrimido[1,2-b]indazole Skeletons.

An efficient synthetic method for constructing 2,3- and 2,4-disubstituted pyrimidio[1,2-b]indazole skeletons through I2-DMSO-mediated and substrate-controlled regioselective [4 + 2] cyclization is reported. The reaction conditions are mild, its operation is simple, and the substrate scope is wide. More than 60 pyrimidio[1,2-b]indazole derivatives have been synthesized, providing a new methodology for constructing related molecules and potentially enriching bioactive-molecule libraries.

Association between systemic immune inflammatory/inflammatory response index and hypertension: A cohort study of functional community.

BACKGROUND AND AIMS: In prospective studies, there is limited evidence of the association between inflammation and hypertension. We aimed to explore the relationship between systemic immune inflammatory index (SII)/systemic inflammatory response index (SIRI) and hypertension in a prospective cohort study to identify the best inflammatory cell markers that predict hypertension. METHODS AND RESULTS: This study was conducted in a functional community cohort in Beijing. In 2015, a total of 6003 individuals without hypertension were recruited and followed up until 2021. Using a restriction cubic spline with baseline SII/SIRI as a continuous variable, the dose-response relationship between hypertension and SII/SIRI was explored. Logistic regression was used to analyze the correlation between hypertension and SII/SIRI trajectory groups. At a mean follow-up of 6 years, 970 participants developed hypertension. SII showed a significant nonlinear dose-response relationship with hypertension (P < 0.05). Higher SII/SIRI was associated with an increased risk of hypertension (SII: RR = 1.003, 95%CI: 1.001-1.004; SIRI: RR = 1.228, 95%CI: 1.015-1.486). Both SII and SIRI were more predictive in males than females (SII: 0.698 vs. 0.695; SIRI: 0.686 vs. 0.678). CONCLUSION: Both systemic immune inflammatory index (SII) and systemic inflammatory response Index (SIRI) independently increased the risk of hypertension, and both were effective inflammatory cell indicators that predict the risk of hypertension.

Association of variability in metabolic parameters with the incidence of type 2 diabetes: evidence from a functional community cohort.

BACKGROUND: To investigate the association of variability in metabolic parameters such as total cholesterol concentrations (TC), uric acid (UA), body mass index (BMI), visceral adiposity index (VAI) and systolic blood pressure (SBP) with incident type 2 diabetes (T2D) and whether variability in these metabolic parameters has additive effects on the risk of T2D. METHODS: Based on the Beijing Functional Community Cohort, 4392 participants who underwent three health examinations (2015, 2016, and 2017) were followed up for incident T2D until the end of 2021. Variability in metabolic parameters from three health examinations were assessed using the coefficient of variation, standard deviation, variability independent of the mean, and average real variability. High variability was defined as the highest quartile of variability index. Participants were grouped according to the number of high-variability metabolic parameters. Cox proportional hazards models were performed to assess the hazard ratio (HR) and 95% confidence interval (CI) for incident T2D. RESULTS: During a median follow-up of 3.91 years, 249 cases of incident T2D were identified. High variability in TC, BMI, VAI and SBP was significantly associated with higher risks of incident T2D. As for UA, significant multiplicative interaction was found between variability in UA and variability in other four metabolic parameters for incident T2D. The risk of T2D significantly increased with the increasing numbers of high-variability metabolic parameters. Compared with the group with low variability for 5 parameters, the HR (95% CI) for participants with 1-2, 3, 4-5 high-variability metabolic parameters were 1.488 (1.051, 2.107), 2.036 (1.286, 3.222) and 3.017 (1.549, 5.877), respectively. Similar results were obtained in various sensitivity analyses. CONCLUSIONS: High variability of TC, BMI, VAI and SBP were independent predictors of incident T2D, respectively. There was a graded association between the number of high-variability metabolic parameters and incident T2D.

Sustainable Conversion of Harmful Algae Biomass into a CO2 Reduction Electrocatalyst for Two-Fold Carbon Utilization.

Harmful algae blooms (HABs) frequently occur all over the world and cause great harm to the environment, human health, and aquatic ecosystems. However, owing to their great growth rate and large nutrient intake capacity, algae can enrich a large amount of carbon (CO2) and nutritional elements (N and P) in their biomass. Thus, this could be applied as a robust approach to battle global warming and water eutrophication if the harmful algae biomass was effectively harvested and utilized. Herein, we propose a thermochemical approach to convert algae biomass into a nitrogen-doped electrocatalyst for CO2 reduction. The as-synthesized carbon catalyst exhibits a favorable electrochemical CO2 reduction activity. The key drivers of the environmental impacts in the thermochemical conversion approach with a comparison with the commonly used landfilling approach are identified with life cycle assessment. The former presents much lower environmental burdens in terms of impacts such as freshwater/terrestrial ecotoxicity and human toxicity than the latter. Moreover, if the thermochemical conversion process was successfully applied for biomass conversion worldwide, 2.17 × 108 tons of CO2-eq, 8.42 × 106 tons of N, and 1.21 × 106 tons of P could be removed from the global carbon and other element cycles. Meanwhile, the thermochemical approach is also similar to landfilling in terms of costs. The results from this work provide a brand-new perspective for achieving twofold CO2 utilization and efficiently battling harmful algae blooms.

Glucose Biosensor Based on Glucose Oxidase Immobilized on BSA Cross-Linked Nanocomposite Modified Glassy Carbon Electrode.

Glucose sensors based blood glucose detection are of great significance for the diagnosis and treatment of diabetes because diabetes has aroused wide concern in the world. In this study, bovine serum albumin (BSA) was used to cross-link glucose oxidase (GOD) on a glassy carbon electrode (GCE) modified by a composite of hydroxy fullerene (HFs) and multi-walled carbon nanotubes (MWCNTs) and protected with a glutaraldehyde (GLA)/Nafion (NF) composite membrane to prepare a novel glucose biosensor. The modified materials were analyzed by UV-visible spectroscopy (UV-vis), transmission electron microscopy (TEM), and cyclic voltammetry (CV). The prepared MWCNTs-HFs composite has excellent conductivity, the addition of BSA regulates MWCNTs-HFs hydrophobicity and biocompatibility, and better immobilizes GOD on MWCNTs-HFs. MWCNTs-BSA-HFs plays a synergistic role in the electrochemical response to glucose. The biosensor shows high sensitivity (167 µA·mM-1·cm-2), wide calibration range (0.01-3.5 mM), and low detection limit (17 µM). The apparent Michaelis-Menten constant Kmapp is 119 µM. Additionally, the proposed biosensor has good selectivity and excellent storage stability (120 days). The practicability of the biosensor was evaluated in real plasma samples, and the recovery rate was satisfactory.

Tumor suppressor miR-424-5p abrogates ferroptosis in ovarian cancer through targeting ACSL4.

Ovarian cancer is the most lethal gynecological cancer. In spite of recent advances, clinical outcomes remain poor, urgently needing novel therapeutic approaches. Growing evidence indicates that microRNAs play crucial roles in ovarian carcinogenesis and progression and that ferroptosis serves as a novel tumor suppressor. However, the molecular mechanisms of miRNA-mediated ferroptosis regulation in ovarian cancer are still largely unknown. In the present study, we show that miR-424-5p negatively regulates ferroptosis by directly targeting ACSL4 in ovarian cancer cells. Upregulation of miR-424-5p suppressed ACSL4 by directly binding to its 3'-UTR, which subsequently reduced erastin- and RSL3-induced ferroptosis. Meanwhile, knockdown of miR-424-5p increased the sensitivity of ovarian cancer cells to erastin and RSL3. Furthermore, ACSL4 was upregulated in ovarian cancer tissues, and high ACSL4 expression predicted worse prognosis and sensitized ovarian cancer cells to erastin- and RSL3-induced ferroptosis. Importantly, decreases in lipid peroxides and ferroptotic cell death mediated by miR-424-5p could be abrogated by ACSL4 overexpression. Taken together, our findings demonstrate that miR-424-5p regulates ferroptosis by targeting ACSL4 in ovarian cancer cells and suggest a potential therapeutic approach for ovarian cancer.

Informative priors on fetal fraction increase power of the noninvasive prenatal screen.

PURPOSE: Noninvasive prenatal screening (NIPS) sequences a mixture of the maternal and fetal cell-free DNA. Fetal trisomy can be detected by examining chromosomal dosages estimated from sequencing reads. The traditional method uses the Z-test, which compares a subject against a set of euploid controls, where the information of fetal fraction is not fully utilized. Here we present a Bayesian method that leverages informative priors on the fetal fraction. METHOD: Our Bayesian method combines the Z-test likelihood and informative priors of the fetal fraction, which are learned from the sex chromosomes, to compute Bayes factors. Bayesian framework can account for nongenetic risk factors through the prior odds, and our method can report individual positive/negative predictive values. RESULTS: Our Bayesian method has more power than the Z-test method. We analyzed 3,405 NIPS samples and spotted at least 9 (of 51) possible Z-test false positives. CONCLUSION: Bayesian NIPS is more powerful than the Z-test method, is able to account for nongenetic risk factors through prior odds, and can report individual positive/negative predictive values.

Effects of nitrogen and phosphorous stress on the formation of high value LC-PUFAs in Porphyridium cruentum.

This study systematically examined the effect of nitrogen and phosphorous stress on the formation of linoleic acid (LA), arachidonic acid (ARA), and eicosapentaenoic acid (EPA) in Porphyridium cruentum gy-h56. P. cruentum was cultivated in six different media conferring different conditions of nitrogen (N) sufficiency/deprivation and phosphorous (P) sufficiency/limitation/deprivation. Over a 16-day cultivation process, the dry-weight content, proportion of total fatty acids (TFAs), and the concentration in the medium of linoleic acid (LA) were greatly improved by a maximum of 2.5-, 1.6-, and 1.1-fold, respectively, under conditions of N or P deprivation compared with N and P sufficiency. In contrast, levels of EPA or ARA were not enhanced under N or P stress conditions. Additionally, the results showed that N deprivation weakened the impact of P deficiency on the content and proportions of LA and EPA, while P deprivation enhanced the impact of N starvation on the content and proportions of LA and EPA. The conditions of N sufficiency and P deprivation (N+P-) were the optimal conditions for the production of LA, while the optimal conditions for EPA, ARA, and TFAs production were N sufficiency and P limitation (N+P-lim). This study suggests the potential application of combining N removal from saline wastewater with the production of LA, ARA, EPA, and biodiesel.

Protective Effects of Reduced Beta 2 Glycoprotein I on Liver Injury in Streptozotocin (STZ)-Diabetic Rats by Activation of AMP-Activated Protein Kinase.

BACKGROUND Protective effects of reduced beta 2 glycoprotein I (Rb2GPI) against vascular injury of diabetes mellitus have been extensively investigated. However, the effects of Rb2GPI on liver injury in diabetic animals have not been reported. MATERIAL AND METHODS A diabetic rat model of was produced by systemic injection of streptozotocin (STZ). Rats were divided into a normal control group, a model group, and an Rb2GPI treatment group (N=6 in each group). After treatments, blood serum and liver tissue were collected to test the protection of Rb2GPI. AMP-activated protein kinase (AMPK) was detected by immunohistochemistry and Western blotting. RESULTS Our results revealed that Rß2GPI reduced blood glucose, serum creatinine, and urea nitrogen levels, as well as serum inflammation cytokines, including interleukin (IL)-6, tumor necrosis factor (TNF)-α and C-reactive protein in the diabetic rats. Importantly, Rß2GPI prevented liver injury in the diabetic rats as confirmed by hematoxylin-eosin (H&E) staining, alanine transaminase, aspartate transaminase, and gamma-glutamyl transferase. Reactive oxygen species (ROS) were promoted by diabetic modeling and were attenuated by Rß2GPI administration. Moreover, Rß2GPI significantly reduced liver catalase, malondialdehyde, and superoxide dismutase levels in the diabetic rats. Rß2GPI reduced liver glycolipid storage in STZ diabetic rats. Both immunohistochemistry and Western blotting demonstrated that Rß2GPI promoted AMPK phosphorylation in the diabetic rats. CONCLUSIONS Our data proved that Rß2GPI prevented liver injury in diabetic rats, likely through activating the AMPK signaling pathway.

Effects of the Nrf2 Protein Modulator Salvianolic Acid A Alone or Combined with Metformin on Diabetes-associated Macrovascular and Renal Injury.

Nuclear factor E2-related factor 2 (Nrf2) is considered a promising target against diabetic complications such as cardiovascular diseases and diabetic nephropathy. Herein, we investigated the effects of a potential Nrf2 modulator, salvianolic acid A (SAA), which is a natural polyphenol, on diabetes-associated macrovascular and renal injuries in streptozotocin-induced diabetic mice. Given that lowering glucose is the first objective of diabetic patients, we also examined the effects of SAA combined with metformin (MET) on both complications. Our results showed that SAA significantly increased the macrovascular relaxation response to acetylcholine and sodium nitroprusside in diabetic mice. Interestingly, treatment with SAA alone only provided minor protection against renal injury, as reflected by minor improvements in impaired renal function and structure, despite significantly reduced oxidative stress observed in the diabetic kidney. We demonstrated that decreased oxidative stress and NF-κB p65 expression were associated with SAA-induced expression of Nrf2-responsive antioxidant enzymes heme oxygenase-1 (HO-1), NAD(P)H dehydrogenase (quinone) 1 (NQO-1), and glutathione peroxidase-1 (GPx-1) in vivo or in vitro, which suggested that SAA was a potential Nrf2 modulator. More significantly, compared with treatment with either SAA or MET alone, we found that their combination provided further protection against the macrovascular and renal injury, which was at least partly due to therapeutic activation of both MET-mediated AMP-activated protein kinase and SAA-mediated Nrf2/antioxidant-response element pathways. These findings suggested that polyphenol Nrf2 modulators, especially combined with drugs activating AMP-activated protein kinase, including hypoglycemic drugs, are worthy of further investigation to combat diabetic complications.

[The recent advances in the host targets of anti-influenza drugs].

The challenge of the emergence of drug-resistant influenza strains, which is caused by wide spread utilization of direct-acting antivirals (DAAs), accelerates the research and exploration towards host targeted agents. In contrast to DAAs targeting viral replication components, host targeted agents, which regulate host factors and pathways linked to viral replication, can interfere the replication of influenza. Additionally, the innate immune system is activated by influenza during the early stage of infection, so manipulating the innate immune response may prevent the viral infection. However, the excessive inflammatory response induced at the late phase of influenza infection would lead to severe tissue injures. Thus, it is very important to explore drugs with anti-inflammatory actions to suppress these immune imbalances and tissue injures. Here we overview the current progresses about host targets related to anti-influenza drugs.

[Recombinant human interferon alpha 2b broad-spectrum anti-respiratory viruses pharmacodynamics study in vitro].

This study is to investigate the effect of recombinant human interferon alpha 2b against broad-spectrum respiratory viruses in vitro. At the cellular level, the effect of the recombinant human interferon alpha 2b on influenza A virus was detected using real-time fluorescence quantitative RT-PCR. The effects of the recombinant human interferon alpha 2b on influenza B virus, parainfluenza virus, respiratory syncytial virus (RSV) and coronavirus were detected using cytopathic effect (CPE) method. In this study, the therapeutic index of recombinant human interferon alpha 2b anti-HPIV was 1476.63, the therapeutic index of recombinant human interferon alpha 2b anti-RSV was 141.37, the therapeutic index of recombinant human interferon alpha 2b anti-coronavirus was more than 2820.76, and the antiviral effect of recombinant human interferon alpha 2b was better than ribavirin (RBV). Recombinant human interferon alpha 2b has a stronger inhibitory effect on different influenza A virus RNA than drug control. The therapeutic index of recombinant human interferon alpha 2b anti-influenza B virus was 2.74, with modest effect. Recombinant human interferon alpha 2b in vitro has broad spectrum antiviral activities, low toxicity and high therapeutic index. Recombinant human interferon alpha 2b is expected to become the efficient medicine in clinical against respiratory viruses, as well as provide better services for prevention and treatment of respiratory viruses' infections.

Association of household solid fuel use and long-term exposure to ambient air pollution with estimated 10-year high cardiovascular disease risk among postmenopausal women.

This study aimed to explore the separate and joint effects of long-term ambient air pollution and household air pollution exposure on 10-year high cardiovascular disease (CVD) risk among postmenopausal women. A total of 4679 postmenopausal women from the China Health and Retirement Longitudinal Study (CHARLS) were included in this study. Information of fuel type was collected by standard questionnaires and use of solid fuel was considered as a proxy for household air pollution. Data of ambient air pollutants (PM1, PM2.5, PM10, SO2, NO2, CO, O3) were obtained from the ChinaHighAirPollutants (CHAP) datasets. Logistic regression models were performed to assess the separate and joint effects of long-term exposure to ambient air pollution and use of solid fuel on 10-year high CVD risk. We found use of solid fuel and its duration and ambient air pollutants (PM1, PM2.5, PM10, SO2, NO2) were all positively associated with 10-year high CVD risk among postmenopausal women (P < 0.05). Compared to those used clean fuel and exposed to low ambient air pollution levels, odds ratios (ORs) and 95% confidence intervals (CIs) for participants using solid fuels and exposed to high ambient air pollution levels (PM1, PM2.5, PM10, SO2, NO2, CO, O3) were 1.66 (1.35, 2.05), 1.66 (1.35, 2.04), 1.49 (1.22, 1.83), 1.28 (1.05, 1.57), 1.67 (1.34, 2.07), 1.28 (1.04, 1.57), 1.46 (1.18, 1.80), respectively. Moreover, significant additive interactions of solid fuel use with PM1 and PM2.5 on 10-year high CVD risk were observed, with approximately 18% and 23% of 10-year high risk of CVD attributable to the interaction. Overall, indoor and outdoor air pollution had separate and joint effects on 10-year high CVD risk among postmenopausal women. Therefore, simultaneously improving indoor and outdoor air quality are of great importance and could have a joint impact on prevention of CVD and improved health among postmenopausal women.

Proteomics in Cardiovascular disease.

This study focuses on recent advances in proteomics and provides an up-to-date use of this technology in identifying cardiovascular disease (CVD) biomarkers. A total of eight electronic databases (PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang, Vip, Sinomed, and CNKI) were searched and five were used for integrative analysis of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic ratio (DOR) and 1 secondary indicator area under the curve (AUC). This systematic review and integrative analysis summarized potential biomarkers previously identified by proteomics. The integrative analysis suggested that proteomics technology had high clinical value in CVD diagnosis. The findings provided new possible directions for the prevention or diagnosis of CVD.

Association of phenotypic frailty and frailty index with type 2 diabetes and dyslipidemia in middle-aged and elderly Chinese: A longitudinal cohort study.

PURPOSE: Frailty, type 2 diabetes (T2D) and dyslipidemia are highly prevalent in middle-aged and elderly populations. However, evidence on the longitudinal association of frailty with T2D and dyslipidemia is limited. The aim of our study was to explore the cross-sectional and longitudinal effects of frailty levels on T2D and dyslipidemia in combination with phenotypic frailty and frailty index (FI). MATERIALS AND METHODS: Multivariate logistic regression model was used to explore the association of frailty status with T2D and dyslipidemia. Area under curve (AUC) of the receiver operating characteristic curve (ROC) to estimate the predictive values of phenotypic frailty and frailty index for T2D and dyslipidemia. In addition, depressive symptom was used as a mediating variable to examine whether it mediates the association between frailty and T2D or dyslipidemia. RESULTS: 10,203 and 9587 participants were chosen for the longitudinal association analysis of frailty with T2D and dyslipidemia. Frailty was associated with T2D (phenotypic frailty: OR=1.50, 95 %CI=1.03, 2.17; FI: OR=1.17, 95 %CI=1.08, 1.26) and dyslipidemia (phenotypic frailty: OR=1.56, 95 %CI=1.16, 2.10; FI: OR=1.17, 95 %CI=1.10, 1.25). Phenotypic frailty and frailty index significantly improved the risk discrimination of T2D and dyslipidemia (p<0.05). Depressive symptoms played a mediating role in the association between frailty and long-term T2D or dyslipidemia (p<0.05). CONCLUSION: Frailty had adverse effects on type 2 diabetes and dyslipidemia, with depressive symptoms acting as the mediator.

A novel approach for sludge deep-dewatering via flowing-out enhancement but not relying on cell lysis and bound water release.

Effective deep-dewatering is crucial for wastewater sludge management. Currently, the dominant methods focus on promoting cell lysis to release intracellular water, but these techniques often lead to secondary pollution and require stringent conditions, limiting their practical use. This study explores an innovative method using a commercially available complex quaternary ammonium salt surfactant, known as G-agent. This agent remarkably reduces the sludge water content from 98.6 % to 56.8 % with a low dosage (50 mg/g DS) and under neutral pH conditions. This approach surpasses Fenton oxidation in terms of dewatering efficiency and avoids the necessity for cell lysis and bound water release, thereby reducing the risk of secondary pollution in the filtrate, including heavy metals, nitrogen, phosphorus, and other contaminants. The G-agent plays a significant role in destabilizing flocs and enhancing flocculation during the conditioning and initial dewatering stages, effectively reducing the solid-liquid interfacial affinity of the sludge. In the compression filtration stage, the agent's solidification effect is crucial in forming a robust skeleton that improves pore connectivity within the filter cake, leading to increased water permeability, drainage performance and water flow-out efficiency. This facilitates deep dewatering of sludge without cell lysis. The study reveals that the G-agent primarily improves water flow-out efficiency rather than water flowability, indicating that cell lysis and bound water release are not indispensable prerequisites for sludge deep-dewatering. Furthermore, it presents an encouraging prospect for overcoming the limitations associated with conventional sludge deep-dewatering processes.

Serum levels and activity of indoleamine2,3-dioxygenase and tryptophanyl-tRNA synthetase and their association with disease severity in patients with chronic kidney disease.

OBJECTIVE: This study aims to test the serum levels and activity of indoleamine2,3-dioxygenase(IDO) and tryptophanyl-tRNA synthetase (TTS) in patients with chronic kidney disease (CKD) and to evaluate their association with disease severity. METHOD: Serum concentrations of IDO and TTS in 61 patients with CKD and 16 healthy volunteers were tested by ELISA. Tryptophan and kynurenine concentrations were measured by high-performance liquid chromatography (HPLC). RESULTS: Patients with CKD showed higher serum levels of IDO and TTS in comparison to healthy controls (p = 0.001). Patients with CKD showed lower serum levels of tryptophan and higher serum levels of kynurenine in comparison to healthy controls (p < 0.001). The kyn/Trp ratio significantly correlated with the disease severity in CKD patients (r = 0.721; p < 0.001). CONCLUSIONS: IDO and TTS may play critical roles in the immune pathogenesis of CKD. The activity of IDO correlated with the disease severity of CKD.

Synthesis and anti-influenza virus activities of a novel class of gastrodin derivatives.

A series of substituted aryl glycoside analogues of gastrodin have been identified as potential anti-influenza agents. The most potent inhibitor 1a exhibited moderate inhibitory activity against the A/Hanfang/359/95(H3N2) and A/FM/1/47(H1N1) strains of the influenza A virus (IC(50) values of 44.40 and 34.45 µM, respectively) and the oseltamivir-null B/Jifang/13/97 strain of influenza B (IC(50) value of 33.01 µM). In this article, multiple doses of compound 1a (80 mg/kg/day, oral administration) were used for the treatment of mice infected with influenza A/FM/1/47-MA (H1N1), and surprisingly we found that compound 1a significantly increased the number of survivors and prolonged the mean survival time. The preliminary studies on the mechanism of antiviral activity showed no interaction between compound 1a and the neuraminidase or the M2 protein. The novel target to overcome drug resistance combined with its good in vivo profile support compound 1a to be a new lead for further development of antiviral agents.

Association between hypertriglyceridemic-waist phenotype and circadian syndrome risk: a longitudinal cohort study.

Recently, circadian syndrome (CircS) has been proposed as a new predictor of cardiometabolic risk. We aimed to investigate the relationship between the hypertriglyceridemic-waist phenotype and its dynamic status with CircS in China. We conducted a two-stage study based on the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2015. Multivariate logistic regression models in cross-sectional analysis and Cox proportional hazards regression models in longitudinal analysis were used to estimate the associations of hypertriglyceridemic-waist phenotypes with CircS and its components. We then applied multiple logistic regression analysis to evaluate the odds ratios (ORs) and 95% confidence intervals (CIs) for CircS risk by transformation into the hypertriglyceridemic-waist phenotype. A total of 9863 participants were included in the cross-sectional analysis and 3884 participants in the longitudinal analysis. Compared with normal waist circumference (WC) and normal triglyceride (TG) level (NWNT), CircS risk was increased with enlarged WC and high TG level (EWHT) (hazard ratio (HR) 3.87 [95% CI: 2.38, 5.39]). Similar results were observed in subgroup analyses by sex, age, smoking status, and drinking status. During follow-up, CircS risk was increased in group K (stable EWNT during follow-up) (OR 9.97 [95% CI: 6.41, 15.49]) compared with group A (stable NWNT during follow-up), while group L (baseline enlarged WC and normal TG level transformed to follow-up EWHT) had the highest risk of CircS (OR 116.07 [95% CI: 72.77, 185.14]). In conclusion, the hypertriglyceridemic-waist phenotype and its dynamic status were associated with the risk of developing CircS in Chinese adults.