Evaluating the long-term impact of COVID-19-associated public health interventions on zoonotic and vector-borne diseases in China: an interrupted time series analysis.

BACKGROUND: The long-term impact of COVID-19-associated public health interventions on zoonotic and vector-borne infectious diseases (ZVBs) remains uncertain. This study sought to examine the changes in ZVBs in China during the COVID-19 pandemic and predict their future trends. METHODS: Monthly incidents of seven ZVBs (Hemorrhagic fever with renal syndrome [HFRS], Rabies, Dengue fever [DF], Human brucellosis [HB], Leptospirosis, Malaria, and Schistosomiasis) were gathered from January 2004 to July 2023. An autoregressive fractionally integrated moving average (ARFIMA) by incorporating the COVID-19-associated public health intervention variables was developed to evaluate the long-term effectiveness of interventions and forecast ZVBs epidemics from August 2023 to December 2025. RESULTS: Over the study period, there were 1,599,647 ZVBs incidents. HFRS and rabies exhibited declining trends, HB showed an upward trajectory, while the others remained relatively stable. The ARFIMA, incorporating a pulse pattern, estimated the average monthly number of changes of - 83 (95% confidence interval [CI] - 353-189) cases, - 3 (95% CI - 33-29) cases, - 468 (95% CI - 1531-597) cases, 2191 (95% CI 1056-3326) cases, 7 (95% CI - 24-38) cases, - 84 (95% CI - 222-55) cases, and - 214 (95% CI - 1036-608) cases for HFRS, rabies, DF, HB, leptospirosis, malaria, and schistosomiasis, respectively, although these changes were not statistically significant besides HB. ARFIMA predicted a decrease in HB cases between August 2023 and December 2025, while indicating a relative plateau for the others. CONCLUSIONS: China's dynamic zero COVID-19 strategy may have exerted a lasting influence on HFRS, rabies, DF, malaria, and schistosomiasis, beyond immediate consequences, but not affect HB and leptospirosis. ARFIMA emerges as a potent tool for intervention analysis, providing valuable insights into the sustained effectiveness of interventions. Consequently, the application of ARFIMA contributes to informed decision-making, the design of effective interventions, and advancements across various fields.

Cytochrome P450 2B6 and UDP-Glucuronosyltransferase Enzyme-Mediated Clearance of Ciprofol (HSK3486) in Humans: The Role of Hepatic and Extrahepatic Metabolism.

Ciprofol (HSK3486) is a novel intravenous agent for general anesthesia. In humans, HSK3486 mainly undergoes glucuronidation to form M4 [fraction of clearance (fCL): 62.6%], followed by the formation of monohydroxylated metabolites that further undergo glucuronidation and sulfation to produce M5-1, M5-2, M5-3, and M3 (summed fCL: 35.2%). However, the complete metabolic pathways of HSK3486 in humans remain unclear. In this study, by comparison with chemically synthesized reference standards, three monohydroxylated metabolites [M7-1, 4-hydroxylation with an unbound intrinsic clearance (CLint,u) of 2211 µl/min/mg; M7-2, ω-hydroxylation with a CLint,u of 600 µl/min/mg; and M7-3, (ω-1)-hydroxylation with a CLint,u of 78.4 µl/min/mg] were identified in human liver microsomes, and CYP2B6 primarily catalyzed their formation. In humans, M7-1 was shown to undergo glucuronidation at the 4-position and 1-position by multiple UDP-glucuronosyltransferases (UGTs) to produce M5-1 and M5-3, respectively, or was metabolized to M3 by cytosolic sulfotransferases. M7-2 was glucuronidated at the ω position by UGT1A9, 2B4, and 2B7 to form M5-2. UGT1A9 predominantly catalyzed the glucuronidation of HSK3486 (M4). The CLint,u values for M4 formation in human liver and kidney microsomes were 1028 and 3407 µl/min/mg, respectively. In vitro to in vivo extrapolation analysis suggested that renal glucuronidation contributed approximately 31.4% of the combined clearance. In addition to HSK3486 glucuronidation (M4), 4-hydroxylation (M7-1) was identified as another crucial oxidative metabolic pathway (fCL: 34.5%). Further attention should be paid to the impact of CYP2B6- and UGT1A9-mediated drug interactions and gene polymorphisms on the exposure and efficacy of HSK3486. SIGNIFICANCE STATEMENT: This research elucidates the major oxidative metabolic pathways of HSK3486 (the formation of three monohydroxylated metabolites: M7-1, M7-2, M7-3) as well as definitive structures and formation pathways of these monohydroxylated metabolites and their glucuronides or sulfate in humans. This research also identifies major metabolizing enzymes responsible for the glucuronidation (UGT1A9) and oxidation (CYP2B6) of HSK3486 and characterizes the mechanism of extrahepatic metabolism. The above information is helpful in guiding the safe use of HSK3486 in the clinic.

Population pharmacokinetics and dose optimization of levofloxacin in elderly patients with pneumonia.

AIMS: Levofloxacin is a quinolone antibiotic with a broad antibacterial spectrum. It is frequently used in elderly patients with pneumonia. The pharmacokinetic profile of elderly patients changes with age, but data on the pharmacokinetics of levofloxacin in these patients are limited. The aim of this study was to establish a population pharmacokinetic model of levofloxacin in elderly patients with pneumonia and to optimize individualized dosing regimens based on this newly developed model. METHODS: This is a prospective, open-label pharmacokinetic study in elderly patients with pneumonia. Blood samples were collected using an opportunistic approach. The plasma concentrations of levofloxacin were determined by high-performance liquid chromatography. A population pharmacokinetic model was established using nonlinear mixed-effect model software. Monte Carlo simulations were used for dose simulation and dose optimization. RESULTS: Data from 51 elderly patients with pneumonia were used for the population pharmacokinetic analysis. A one-compartment model with first-order elimination was most suitable for describing the data, and the estimated glomerular filtration rate was the only covariate that had a significant impact on the model. The final model estimated that the mean clearance of levofloxacin in elderly patients with pneumonia was 5.26 L/h. Monte Carlo simulation results showed that the optimal dosing regimen for levofloxacin was 750 mg once a day in elderly patients with pneumonia, with a minimum inhibitory concentration of 2 mg/L. CONCLUSIONS: The population pharmacokinetic model of levofloxacin in elderly patients with pneumonia was established, and the dose optimization of levofloxacin was completed through Monte Carlo simulation.

Trend analysis and prediction of gonorrhea in mainland China based on a hybrid time series model.

BACKGROUND: Gonorrhea has long been a serious public health problem in mainland China that requires attention, modeling to describe and predict its prevalence patterns can help the government to develop more scientific interventions. METHODS: Time series (TS) data of the gonorrhea incidence in China from January 2004 to August 2022 were collected, with the incidence data from September 2021 to August 2022 as the validation. The seasonal autoregressive integrated moving average (SARIMA) model, long short-term memory network (LSTM) model, and hybrid SARIMA-LSTM model were used to simulate the data respectively, the model performance were evaluated by calculating the mean absolute percentage error (MAPE), root mean square error (RMSE), and mean absolute error (MAE) of the training and validation sets of the models. RESULTS: The Seasonal components after data decomposition showed an approximate bimodal distribution with a period of 12 months. The three models identified were SARIMA(1,1,1) (2,1,2)12, LSTM with 150 hidden units, and SARIMA-LSTM with 150 hidden units, the SARIMA-LSTM model fitted best in the training and validation sets, for the smallest MAPE, RMSE, and MPE. CONCLUSIONS: The overall incidence trend of gonorrhea in mainland China has been on the decline since 2004, with some periods exhibiting an upward trend. The incidence of gonorrhea displays a seasonal distribution, typically peaking in July and December each year. The SARIMA model, LSTM model, and SARIMA-LSTM model can all fit the monthly incidence time series data of gonorrhea in mainland China. However, in terms of predictive performance, the SARIMA-LSTM model outperforms the SARIMA and LSTM models, with the LSTM model surpassing the SARIMA model. This suggests that the SARIMA-LSTM model can serve as a preferred tool for time series analysis, providing evidence for the government to predict trends in gonorrhea incidence. The model's predictions indicate that the incidence of gonorrhea in mainland China will remain at a high level in 2024, necessitating that policymakers implement public health measures in advance to prevent the spread of the disease.

Association of rotating night shift work, CLOCK, MTNR1A, MTNR1B genes polymorphisms and their interactions with type 2 diabetes among steelworkers: a case-control study.

BACKGROUND: The purpose of this study is to investigate the association of rotating night shift work, CLOCK, MTNR1A, MTNR1B genes polymorphisms and their interactions with type 2 diabetes among steelworkers. METHODS: A case-control study was conducted in the Tangsteel company in Tangshan, China. The sample sizes of the case group and control group were 251 and 451, respectively. The logistic regression, log-linear model and generalized multifactor dimensionality (GMDR) method were used to investigate the interaction between circadian clock gene, melatonin receptor genes and rotating night shift work on type 2 diabetes among steelworkers. Relative excess risk due to interaction (RERI) and attributable proportions (AP) were used to evaluate additive interactions. RESULTS: Rotating night shift work, current shift status, duration of night shifts, and average frequency of night shifts were associated with an increased risk of type 2 diabetes after adjustment for confounders. Rs1387153 variants in MTNR1B was found to be associated with an increased risk of type 2 diabetes, which was not found between MTNR1A gene rs2119882 locus, CLOCK gene rs1801260 locus and the risk of type 2 diabetes. The association between rotating night shift work and risk of type 2 diabetes appeared to be modified by MTNR1B gene rs1387153 locus (RERI = 0.98, (95% CI, 0.40-1.55); AP = 0.60, (95% CI, 0.07-1.12)). The interaction between MTNR1A gene rs2119882 locus and CLOCK gene rs1801260 locus was associated with the risk of type 2 diabetes (RERI = 1.07, (95% CI, 0.23-1.91); AP = 0.77, (95% CI, 0.36-1.17)). The complex interaction of the MTNR1A-MTNR1B-CLOCK-rotating night shift work model based on the GMDR methods may increase the risk of type 2 diabetes (P = 0.011). CONCLUSIONS: Rotating night shift work and rs1387153 variants in MTNR1B were associated with an increased risk of type 2 diabetes among steelworkers. The complex interaction of MTNR1A-MTNR1B-CLOCK-rotating night shift work may increase the risk of type 2 diabetes.

Organocatalytic Si-CAryl Bond Functionalization-Enabled Atroposelective Synthesis of Axially Chiral Biaryl Siloxanes.

Chiral organosilanes are valuable chemical entities in the development of functional organic materials, asymmetric catalysis, and medicinal chemistry. As an important strategy for constructing chiral organosilanes, the asymmetric functionalization of the Si-CAryl bond typically relies on transition-metal catalysis. Herein, we present an efficient method for atroposelective synthesis of biaryl siloxane atropisomers via organocatalytic Si-C bond functionalization of dinaphthosiloles with silanol nucleophiles. The reaction proceeds through an asymmetric protonation and simultaneous Si-C bond cleavage/silanolysis sequence in the presence of a newly developed chiral Brønsted acid catalyst. The versatile nature of the Si-C bond streamlines the derivatization of axially chiral products into other functional atropisomers, thereby expanding the applicability of this method.

Impact of COVID-19 on epidemic trend of hepatitis C in Henan Province assessed by interrupted time series analysis.

OBJECTIVE: Hepatitis C presents a profound global health challenge. The impact of COVID-19 on hepatitis C, however, remain uncertain. This study aimed to ascertain the influence of COVID-19 on the hepatitis C epidemic trend in Henan Province. METHODS: We collated the number of monthly diagnosed cases in Henan Province from January 2013 to September 2022. Upon detailing the overarching epidemiological characteristics, the interrupted time series (ITS) analysis using autoregressive integrated moving average (ARIMA) models was employed to estimate the hepatitis C diagnosis rate pre and post the COVID-19 emergence. In addition, we also discussed the model selection process, test model fitting, and result interpretation. RESULTS: Between January 2013 and September 2022, a total of 267,968 hepatitis C cases were diagnosed. The yearly average diagnosis rate stood at 2.42/100,000 persons. While 2013 witnessed the peak diagnosis rate at 2.97/100,000 persons, 2020 reported the least at 1.7/100,000 persons. The monthly mean hepatitis C diagnosed numbers culminated in 2291 cases. The optimal ARIMA model chosen was ARIMA (0,1,1) (0,1,1)12 with AIC = 1459.58, AICc = 1460.19, and BIC = 1472.8; having coefficients MA1=-0.62 (t=-8.06, P < 0.001) and SMA1=-0.79 (t=-6.76, P < 0.001). The final model's projected step change was - 800.0 (95% confidence interval [CI] -1179.9 ~ -420.1, P < 0.05) and pulse change was 463.40 (95% CI 191.7 ~ 735.1, P < 0.05) per month. CONCLUSION: The measures undertaken to curtail COVID-19 led to a diminishing trend in the diagnosis rate of hepatitis C. The ARIMA model is a useful tool for evaluating the impact of large-scale interventions, because it can explain potential trends, autocorrelation, and seasonality, and allow for flexible modeling of different types of impacts.

Interruption time series analysis using autoregressive integrated moving average model: evaluating the impact of COVID-19 on the epidemic trend of gonorrhea in China.

BACKGROUND: Interrupted time series (ITS) analysis is a growing method for assessing intervention impacts on diseases. However, it remains unstudied how the COVID-19 outbreak impacts gonorrhea. This study aimed to evaluate the effect of COVID-19 on gonorrhea and predict gonorrhea epidemics using the ITS-autoregressive integrated moving average (ARIMA) model. METHODS: The number of gonorrhea cases reported in China from January 2005 to September 2022 was collected. Statistical descriptions were applied to indicate the overall epidemiological characteristics of the data, and then the ITS-ARIMA was established. Additionally, we compared the forecasting abilities of ITS-ARIMA with Bayesian structural time series (BSTS), and discussed the model selection process, transfer function, check model fitting, and interpretation of results. RESULT: During 2005-2022, the total cases of gonorrhea were 2,165,048, with an annual average incidence rate of 8.99 per 100,000 people. The highest incidence rate was 14.2 per 100,000 people in 2005 and the lowest was 6.9 per 100,000 people in 2012. The optimal model was ARIMA (0,1, (1,3)) (0,1,1)12 (Akaike's information criterion = 3293.93). When predicting the gonorrhea incidence, the mean absolute percentage error under the ARIMA (16.45%) was smaller than that under the BSTS (22.48%). The study found a 62.4% reduction in gonorrhea during the first-level response, a 46.47% reduction during the second-level response, and an increase of 3.6% during the third-level response. The final model estimated a step change of - 2171 (95% confidence interval [CI] - 3698 to - 644) cases and an impulse change of - 1359 (95% CI - 2381 to - 338) cases. Using the ITS-ARIMA to evaluate the effect of COVID-19 on gonorrhea, the gonorrhea incidence showed a temporary decline before rebounding to pre-COVID-19 levels in China. CONCLUSION: ITS analysis is a valuable tool for gauging intervention effectiveness, providing flexibility in modelling various impacts. The ITS-ARIMA model can adeptly explain potential trends, autocorrelation, and seasonality. Gonorrhea, marked by periodicity and seasonality, exhibited a downward trend under the influence of COVID-19 intervention. The ITS-ARIMA outperformed the BSTS, offering superior predictive capabilities for the gonorrhea incidence trend in China.

The Relationship Between GNRI Changes and Bone Metabolism Parameters and the Occurrence of Osteoporosis in Elderly Male Patients with T2D.

Background: Type 2 diabetes (T2D) and osteoporosis are both diseases with a high clinical incidence. Among the population with diabetes, T2D accounts for approximately 90%. With the change in people's eating habits and lifestyles, the incidence rate is gradually increasing. Aim: We aimed to explore the relationship between the change in the Geriatric Nutritional Risk Index (GNRI) and the change in bone metabolism index parameters in elderly male patients with T2D and the occurrence of osteoporosis. Methods: A total of 290 elderly male patients with type 2 diabetes (T2D) diagnosed in North China University of Science and Technology Affiliated Hospital from October 2019 to February 2022 were selected for GNRI evaluation. Of these patients, 148 with a GNRI > 98 (the normal group) and 142 with a GNRI ≤ 98 (the risk group) were selected for the study. The levels of 1,25-hydroxyvitamin D3 [1,25 (OH) 2D3], type 1 collagen N-terminal propeptide (P1NP), serum type 1 collagen C-terminal peptide hinge (S-CTX), osteocalcin (OC) and serum bone alkaline phosphatase (BALP) in the 2 groups were detected and compared. A dual-energy bone mineral density instrument was used to detect the bone mineral density (BMD) in the 2 groups. The logistic regression model was used to analyze the relationship between the occurrence of osteoporosis and indicators such as GNRI, and the receiver operating characteristic (ROC) curve was drawn to analyze the value of GNRI in predicting osteoporosis in elderly patients with T2D. Results: The 1,25(OH)2D3 and P1NP levels in the risk group were lower than in the normal group, and the serum S-CTX and BALP levels in the risk group were higher than in the normal group; the differences were statistically significant (P <.05). The average BMD values of femoral neck, femur trochanter, Ward triangle and lumbar spine in the risk group were lower than in the normal group; the differences were statistically significant (P < .05). There were 70 patients with osteoporosis in the risk group and 9 patients with osteoporosis in the normal group. The difference in the detection rate of osteoporosis between the 2 groups was statistically significant (χ2 = 68.281; P = .000 < .05). The area under the curve (AUC) value under the ROC curve predicted by the GNRI for osteoporosis in elderly patients with T2D was 0.719, the sensitivity was 51.43% and the specificity was 97.26%. The logistic regression model showed that duration of diabetes, glycated hemoglobin A1c (HbA1c), S-CTX and BALP were independent risk factors for osteoporosis in elderly male patients with T2D (P < .05). Increased 1,25(OH)2D3, ALB and GNRI can reduce the risk for osteoporosis in elderly male patients with T2D (P < .05). Conclusion: GNRI can reflect the nutritional status of elderly male patients with T2D, which is related to some extent to osteoporosis caused by loss of bone mass.

Molecular detection and species identification of Plasmodium spp. infection among imported cases in Eastern China, 2012-2018.

Due to the increasing number of returnees from malaria endemic areas, imported malaria has become a public health challenge in China. To better understand the characteristics of imported Plasmodium species and adjust appropriate strategies for malaria prevention and control in Eastern China, we conducted molecular detection and species identification on 1282 imported malaria cases in Shandong Province between 2012 and 2018. The findings showed that P. falciparum was predominant, particularly in cases imported from Africa. P. vivax was the dominant species imported from Asian countries. Additionally, imported P. ovale and P. malariae emerged in the province. Further surveillance and control of imported malaria among returnees from Africa and Southeast Asia is needed to be strengthened in Eastern China.

Estimating the tuberculosis incidence using a SARIMAX-NNARX hybrid model by integrating meteorological factors in Qinghai Province, China.

Tuberculosis (TB) is recognized as being a major public health concern owing to its increase in Qinghai, China. In this study, we aimed to estimate the long-term effects of meteorological variables on TB incidence and construct an advanced hybrid model with seasonal autoregressive integrated moving average (SARIMA) and a neural network nonlinear autoregression (SARIMAX-NNARX) by integrating meteorological factors and evaluating the model fitting and prediction effect. During 2005-2017, TB experienced an upward trend with obvious periodic and seasonal characteristics, peaking in spring and winter. The results showed that TB incidence was positively correlated with average relative humidity (ARH) with a 2-month lag (ß = 1.889, p = 0.003), but negatively correlated with average atmospheric pressure (AAP) with a 1-month lag (ß = - 1.633, p = 0.012), average temperature (AT) with a 2-month lag (ß = - 0.093, p = 0.027), and average wind speed (AWS) with a 0-month lag (ß = - 13.221, p = 0.033), respectively. The SARIMA (3,1,0)(1,1,1)12, SARIMAX(3,1,0)(1,1,1)12, and SARIMAX(3,1,0)(1,1,1)12-NNARX(15,3) were considered preferred models based on the evaluation criteria. Of them, the SARIMAX-NNARX technique had smaller error values than the SARIMA and SARIMAX models in both fitting and forecasting aspects. The sensitivity analysis also revealed the robustness of the mixture forecasting model. Therefore, the SARIMAX-NNARX model by integrating meteorological variables can be used as an accurate method for forecasting the epidemic trends which would be great importance for TB prevention and control in the coming periods in Qinghai.

Association of air pollutants and meteorological factors with tuberculosis: a national multicenter ecological study in China.

The impact of weather variability and air pollutants on tuberculosis (TB) has been a research hotspot. Previous studies have mostly been limited to a certain area or with a small sample size of cases, and multi-scale systematic studies are lacking. In this study, 14,816,329 TB cases were collected from 31 provinces in China between 2004 and 2018 to estimate the association between TB risk and meteorological factors and air pollutants using a two-stage time-series analysis. The impact and lagged time of meteorological factors and air pollutants on TB risk varied greatly in different provinces and regions. Overall cumulative exposure-response summary associations across 31 provinces suggested that high monthly mean relative humidity (RH) (66.8-82.4%, percentile56-100 (P56-100)), rainfall (316.5-331.1 mm, P96-100), PM2.5 exposure concentration (93.3-145.0 µg/m3, P58-100), and low monthly mean wind speed (1.6-2.1 m/s, P0-38) increased the risk of TB incidence, with a relative risk (RR) of 1.10 (95% CI: 1.04-1.16), 1.10 (95% CI: 1.03-1.16), 2.08 (95% CI: 1.18-3.65), and 2.06 (95% CI: 1.27-3.33), and attributable risk percent (AR%) of 9%, 9%, 52%, and 51%, respectively. Conversely, high monthly average wind speed (2.3-2.9 m/s, P54-100) and mean temperature (20.2-25.3 °C, P79-96), and low monthly average rainfall (2.4-25.2 mm, P0-7) and concentration of SO2 (8.1-21.2 µg/m3, P0-16) exposure decreased the risk of TB incidence, with an overall cumulative RR of 0.92 (95% CI: 0.87-0.98), 0.74 (95% CI: 0.59-0.94), 0.87 (95% CI: 0.79-0.95), and 0.72 (95% CI: 0.56-0.93), respectively. Our study provided insights into future planning of public health interventions for TB.

Genome-Wide Identification and Analysis Uncovers the Potential Role of JAZ and MYC Families in Potato under Abiotic Stress.

As key regulators of the Jasmonates (JAs) signal transduction pathway, JAZ protein, and MYC transcription factors are imperative for plant response to external environmental changes, growth, and development. In this study, 18 StJAZs and 12 StMYCs were identified in potatoes. Their chromosomal position, phylogenetic development, gene structure, and promoter cis-acting parts of the StJAZ genes were analyzed. In addition, Protein-Protein Interaction (PPI) network analysis of StJAZ and StMYC gene families and yeast two-hybrid assay demonstrated that five StMYCs can interact with 16 StJAZs, which provides new insights into the operation mechanism of StJAZs and StMYCs in JA signal response. Moreover, we explored the expression profiles of StJAZs and StMYCs genes in different tissues and during abiotic stresses by RNA-seq data. Based on the PPI network and transcriptome data, the genes StJAZ11, StJAZ16, and StMYC6 were chosen for further qRT-PCR study under salt or mannitol treatment. Under mannitol-induced drought or salinity treatment, the expression patterns of StMYC6, StJAZ11, and StJAZ16 were different, indicating that the JAZ protein and MYC transcription factor may be engaged in the response of potatoes to abiotic stress, which opened up a new research direction for the genetic improvement of potatoes in response to environmental stress.

Long non-coding RNA nuclear paraspeckle assembly transcript 1 downregulation protects lens epithelial cells from oxidative stress-induced apoptosis by regulating the microRNA-124-3p/death-associated protein kinase 1 axis in age-related cataract.

Oxidative stress plays a significant role in cataract development. It causes the apoptosis of lens epithelial cells (LECs), resulting in lens opacification and accelerating cataract progression. Long non-coding RNAs (lncRNAs) and microRNAs have been linked to cataract development. Notably, lncRNA nuclear paraspeckle assembly transcript 1 (NEAT1) is involved in LEC apoptosis and cataract formation. However, the molecular mechanism by which NEAT1 causes age-related cataracts remains unknown. In this study, LECs (SRA01/04) were exposed to 200 µM H2O2 to generate an in vitro cataract model. The apoptosis and viability of cells were determined using flow cytometry and 3-(4, 5-Dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide assays, respectively. Additionally, western blotting and quantitative polymerase chain reaction were used to determine the miRNA and lncRNA expression levels. When LECs were treated with hydrogen peroxide, lncRNA NEAT1 expression levels were significantly upregulated, which contributed to LEC apoptosis. Notably, lncRNA NEAT1 suppressed the expression of miR-124-3p, a critical regulator of apoptosis, whereas NEAT1 inhibition increased miR-124-3p expression and alleviated apoptosis. However, this effect was reversed when miR1243p expression was inhibited. Additionally, the miR1243p mimic effectively inhibited the death-associated protein kinase 1 (DAPK1) expression and apoptosis of LECs, while the DAPK1 mimic reversed these effects. In conclusion, our findings indicate that the lncRNA NEAT1/miR-124-3p/DAPK1 signaling loop is involved in the regulation of LEC apoptosis induced by oxidative stress, which can be exploited to develop potential treatment strategies for age-related cataracts.

Asymmetric Hydrophosphinylation of Alkynes: Facile Access to Axially Chiral Styrene-Phosphines.

A Cu/CPA co-catalytic system has been developed for achieving the direct hydrophosphinylation of alkynes with phosphine oxides in delivering novel axially chiral phosphorus-containing alkenes in high yields and excellent enantioselectivities (up to 99 % yield and 99 % ee). DFT calculations were performed to elucidate the reaction pathway and the origin of enantiocontrol. This streamlined and modular methodology establishes a new platform for the design and application of new axially chiral styrene-phosphine ligands.

Organocatalytic Atroposelective Cross-Coupling of 1-Azonaphthalenes and 2-Naphthols.

Atroposelective cross-coupling is one of the most appealing routes to construct axially chiral binaphthyl molecules due to the modular and succinct nature. Although transition-metal-catalyzed cross-couplings offer reliable synthetic means, alternative reaction modes that could be applied to broader substrate range without their pre-functionalization is highly desirable. Herein we show that the application of chiral Brønsted acid catalyst as organocatalyst could accomplish cross-coupling of 1-azonaphthalenes and 2-naphthols with high efficiency, exclusive C4-selectivity as well as excellent enantioselectivity and functional group compatibility. The identification of acylimidazolinone auxiliary for azo activating group, effective remote catalyst control and arene resonance effect synergistically play key roles in the development of this method. The utility is further demonstrated by transformations of the products into other binaphthyl compounds with perfectly retained axial chirality.

Coordinated regulation of starch synthesis in maize endosperm by microRNAs and DNA methylation.

Starch synthesis is an essential feature of crop filling, but knowledge of the molecular mechanisms regulating the expression of starch synthesis genes (SSGs) is currently limited to transcription factors (TFs). Here, we obtained transcriptome, small RNAome, and DNA methylome data from maize (Zea mays) endosperms during multiple developmental stages and established a regulatory network atlas of starch synthesis. Transcriptome analysis showed a sharp transition at 9-10 days after pollination, when genes involved in starch and sucrose metabolism are upregulated and starch accumulates rapidly. Expression pattern analysis established a comprehensive network between SSGs and TFs. During maize endosperm development, the miRNAs with preferential repression of the expression of TFs, particularly the TFs regulating SSG expression, were extensively downregulated. Specifically, ZmMYB138 and ZmMYB115 affected the transcriptional activities of Du1/Wx and Ae1/Bt2 genes at their respective promoter regions. Remarkably, the two TFs were negatively regulated by the copious expression of Zma-miR159k-3p at the post-transcriptional level. This suggests that miRNAs are important regulators of starch synthesis. Moreover, with the exclusion of the TFs, the expression of both SSGs and miRNAs was globally regulated by DNA methylation. Altogether, the present results (i) establish the regulatory functions of miRNAs and DNA methylation in starch synthesis and (ii) indicate that DNA methylation functions as a master switch.

circ-PSD3 promoted proliferation and invasion of papillary thyroid cancer cells via regulating the miR-7-5p/METTL7B axis.

Papillary thyroid cancer (PTC) is a common tumor malignancy of the endocrine system worldwide. Recently, circular RNAs (circRNAs) have been reported to participate in diverse pathological processes, especially in tumorigenesis. However, the functional role and mechanism of circRNA pleckstrin and Sec7 domain containing 3 (circ-PSD3) in PTC are still unclear. In this study, qRT-PCR results showed that circ-PSD3 was significantly upregulated in PTC tissues and cell lines. Meanwhile, circ-PSD3 overexpression was positively associated with larger tumor size, TNM stage, and lymph node metastasis. Knockdown of circ-PSD3 suppressed the proliferation and invasion of PTC cells. Besides, circ-PSD3 interacted with miR-7-5p to reduce its expression, and methyltransferase like 7B (METTL7B) was verified as a target gene of miR-7-5p. Functionally, inhibition of circ-PSD3 impeded PTC cell proliferation and invasion via targeting miR-7-5p to downregulate METTL7B expression. Taken together, silencing of circ-PSD3 hampered the proliferation and invasion of PTC cells via upregulating the inhibitory effect of miR-7-5p on METTL7B expression. Therefore, circ-PSD3 could be a potential diagnostic biomarker or molecular treatment target for PTC.

Identification of Serum Biomarkers in Patients with Alzheimer's Disease by 2D-DIGE Proteomics.

AIM: The aim of this study is to identify potential serum biomarkers of Alzheimer's disease (AD) for early diagnosis and to evaluate these markers on a large cohort. METHODS: We performed two-dimensional difference gel electrophoresis to compare the serum of AD patients and normal controls. Western blot or enzyme-linked immunosorbent assay (ELISA) was used to identify the expression levels of proteins. RESULTS: In this study, a total of 13 differentially expressed proteins were identified. Among them, 2 proteins (inter-alpha-trypsin inhibitor heavy chain H4 [ITI-H4], Apolipoprotein A-IV) were validated by Western blot and 4 proteins (Cofilin 2, Tetranectin, Zinc-alpha-2-glycoprotein [AZGP1], Alpha-1-microglobulin/bikunin precursor [AMBP]) were validated by ELISA, respectively. Western blot results showed that the full size of the ITI-H4 protein was increased, while a fragment of ITI-H4 was decreased in AD patients. In contrast, 1 fragment of Apo A-IV was mainly found in control group and rare to be detected in AD patients. On the other hand, ELISA results showed that Cofilin 2, Tetranectin, AZGP1, and AMBP were significantly increased in AD patients, and Cofilin 2 is strongly correlated with the Mini-Mental State Examination scores of the AD patients. Serum Cofilin 2 was unchanged in Parkinson disease patients as compared to the control group, indicating a specific correlation of serum Cofilin 2 with AD. Moreover, Cofilin 2 was increased in both the serum and brain tissue in the APP/PS1 transgenic mice. CONCLUSION: Our study identified several potential serum biomarkers of AD, including: ITI-H4, ApoA-IV, Cofilin 2, Tetranectin, AZGP1, and AMBP. Cofilin 2 was upregulated in different AD animal models and might play important roles in AD pathology.

Rotating night shift work and liver enzymes-associated abnormalities among steelworkers: a cross-sectional study from a Chinese cohort.

OBJECTIVE: The association between shift schedules and liver enzymes is unclear. This study aims to explore the effect of rotating night shift work on increased liver enzymes. METHODS: The in-service workers of Tangsteel Company who participated in occupational health examination in Tangshan in 2017 were selected as the research objects. Multifaceted exposure metrics of night shift work and comprehensive liver enzymes were used to evaluate rotating night shift work and liver enzymes-associated abnormalities, respectively. RESULTS: There were positive associations between the odds of all liver enzymes-associated abnormalities and duration of night shifts. Different exposure metrics of night shift work were significantly associated with higher odds of elevated alanine aminotransferase (ALT), elevated gamma-glutamyl transaminase (GGT) and increased liver enzymes. Compared with those who never worked night shift, the groups of current night shift, duration of night shifts ≤ 18 years, duration of night shifts > 18 years, cumulative number of night shifts ≤ 1643 nights, cumulative number of night shifts > 1643 nights and average frequency of night shifts > 7 nights/month had an OR of increased liver enzymes of 1.31 (95% CI 1.08-1.58), 1.28 (95% CI 1.05-1.58), 1.27 (95% CI 1.04-1.55), 1.28 (95% CI 1.04-1.58), 1.27 (95% CI 1.04-1.55), 1.32 (95% CI 1.08-1.60) after adjusting for all confounders, respectively. No significant association was found between rotating night shift work and liver enzymes-associated abnormalities among female steelworkers. CONCLUSIONS: Rotating night shift work is associated with elevated ALT, elevated GGT and increased liver enzymes in male steelworkers.