Publications by authors named "Yongbin Wang"

66 Publications

Genome-wide identification of ZmSnRK2 genes and functional analysis of ZmSnRK2.10 in ABA signaling pathway in maize (Zea mays L).

BMC Plant Biol 2021 Jul 1;21(1):309. Epub 2021 Jul 1.

State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, 611130, Sichuan, China.

Background: Phytohormone abscisic acid (ABA) is involved in the regulation of a wide range of biological processes. In Arabidopsis, it has been well-known that SnRK2s are the central components of the ABA signaling pathway that control the balance between plant growth and stress response, but the functions of ZmSnRK2 in maize are rarely reported. Therefore, the study of ZmSnRK2 is of great importance to understand the ABA signaling pathways in maize.

Results: In this study, 14 ZmSnRK2 genes were identified in the latest version of maize genome database. Phylogenetic analysis revealed that ZmSnRK2s are divided into three subclasses based on their diversity of C-terminal domains. The exon-intron structures, phylogenetic, synteny and collinearity analysis indicated that SnRK2s, especially the subclass III of SnRK2, are evolutionally conserved in maize, rice and Arabidopsis. Subcellular localization showed that ZmSnRK2 proteins are localized in the nucleus and cytoplasm. The RNA-Seq datasets and qRT-PCR analysis showed that ZmSnRK2 genes exhibit spatial and temporal expression patterns during the growth and development of different maize tissues, and the transcript levels of some ZmSnRK2 genes in kernel are significantly induced by ABA and sucrose treatment. In addition, we found that ZmSnRK2.10, which belongs to subclass III, is highly expressed in kernel and activated by ABA. Overexpression of ZmSnRK2.10 partially rescued the ABA-insensitive phenotype of snrk2.2/2.3 double and snrk2.2/2.3/2.6 triple mutants and led to delaying plant flowering in Arabidopsis.

Conclusion: The SnRK2 gene family exhibits a high evolutionary conservation and has expanded with whole-genome duplication events in plants. The ZmSnRK2s expanded in maize with whole-genome and segmental duplication, not tandem duplication. The expression pattern analysis of ZmSnRK2s in maize offers important information to study their functions. Study of the functions of ZmSnRK.10 in Arabidopsis suggests that the ABA-dependent members of SnRK2s are evolutionarily conserved in plants. Our study elucidated the structure and evolution of SnRK2 genes in plants and provided a basis for the functional study of ZmSnRK2s protein in maize.
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http://dx.doi.org/10.1186/s12870-021-03064-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246669PMC
July 2021

Association of Rotating Night Shift Work with Body Fat Percentage and Fat Mass Index among Female Steelworkers in North China.

Int J Environ Res Public Health 2021 06 11;18(12). Epub 2021 Jun 11.

Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China.

The aim of this study was to evaluate the associations of rotating night shift work with body fat percentage (BF%) and fat mass index (FMI). A cross-sectional study was conducted among 435 female steelworkers, aged 26-57 years in Tangshan, China. BF% was assessed via bioelectrical impedance analysis and FMI was calculated. Different exposure metrics of night shift work were used to examine the effects of night shift work on BF% and FMI. The duration (years), cumulative number (nights), and cumulative length of night shifts (hours) were positively correlated with FMI and BF%, and these relationships were independent of body mass index (BMI). Compared with day workers, night shift workers with an average frequency of night shifts >7 nights/month (odds ratio (OR) 2.50, 95% confidence interval (CI) 1.17 to 5.35) and percentage of hours on night shifts >30% (OR 2.55, 95% CI 1.21 to 5.39) had elevated odds of obesity (BF% ≥ 35.0%). Nonobese night shift workers by the BMI criterion should also be alert to the risk of the excess accumulation of body fat, which is actually responsible for most obesity-associated adverse health consequences. Health interventions for related populations need to be improved, which is currently more focused on overall weight control.
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http://dx.doi.org/10.3390/ijerph18126355DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296160PMC
June 2021

Gene-Environment Interactions Between Environmental Response Genes Polymorphisms and Mitochondrial DNA Copy Numbers Among Benzene Workers.

J Occup Environ Med 2021 Jul;63(7):e408-e415

Department of Hematology, Linyi People's Hospital, 27 Jifang Road, Linyi, China (Ji, Xiao), School of Public Health, Xinxiang Medical University, 601 Jinsui Road, Xinxiang, China (Ren, Zhang, Wang, Dong, Li, Zhang), Department of Occupational Health and Toxicology, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, China (Xia).

Objective: To determine the effect of mitochondrial DNA copy number (mtDNAcn) as a biomarker of benzene exposure.

Methods: A total of 294 benzene-exposed workers and 102 controls were recruited. Biomarkers of mtDNAcn, cytokinesis-block micronucleus (MN) frequency, and peripheral blood white blood cells (WBC) were detected. Eighteen polymorphism sites in DNA damage repair and metabolic genes were analyzed.

Results: Benzene exposure increased mtDNAcn and indicated a dose-response relationship (P < 0.001). mtDNAcn was negatively correlated with WBC count and DNA methylation and positively correlated with MN frequency. The AG type in rs1695 interacted with benzene exposure to aggravate mtDNAcn (β = 0.006, 95% CI: 0, 0.012, P = 0.050). rs13181, rs1695, rs1800975, and GSTM1 null were associated with benzene-induced mtDNAcn. Rs1695 interacted with benzene to increase mitochondrial damage.

Conclusions: Benzene exposure increases mtDNAcn levels in benzene-exposed workers.
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http://dx.doi.org/10.1097/JOM.0000000000002225DOI Listing
July 2021

Forecasting the Tuberculosis Incidence Using a Novel Ensemble Empirical Mode Decomposition-Based Data-Driven Hybrid Model in Tibet, China.

Infect Drug Resist 2021 25;14:1941-1955. Epub 2021 May 25.

Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, People's Republic of China.

Objective: The purpose of this study is to develop a novel data-driven hybrid model by fusing ensemble empirical mode decomposition (EEMD), seasonal autoregressive integrated moving average (SARIMA), with nonlinear autoregressive artificial neural network (NARNN), called EEMD-ARIMA-NARNN model, to assess and forecast the epidemic patterns of TB in Tibet.

Methods: The TB incidence from January 2006 to December 2017 was obtained, and then the time series was partitioned into training subsamples (from January 2006 to December 2016) and testing subsamples (from January to December 2017). Among them, the training set was used to develop the EEMD-SARIMA-NARNN combined model, whereas the testing set was used to validate the forecasting performance of the model. Whilst the forecasting accuracy level of this novel method was compared with the basic SARIMA model, basic NARNN model, error-trend-seasonal (ETS) model, and traditional SARIMA-NARNN mixture model.

Results: By comparing the accuracy level of the forecasting measurements including root-mean-square error, mean absolute deviation, mean error rate, mean absolute percentage error, and root-mean-square percentage error, it was shown that the EEMD-SARIMA-NARNN combined method produced lower error rates than the others. The descriptive statistics suggested that TB was a seasonal disease, peaking in late winter and early spring and a trough in autumn and early winter, and the TB epidemic indicated a drastic increase by a factor of 1.7 from 2006 to 2017 in Tibet, with average annual percentage change of 5.8 (95% confidence intervals: 3.5-8.1).

Conclusion: This novel data-driven hybrid method can better consider both linear and nonlinear components in the TB incidence than the others used in this study, which is of great help to estimate and forecast the future epidemic trends of TB in Tibet. Besides, under present trends, strict precautionary measures are required to reduce the spread of TB in Tibet.
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http://dx.doi.org/10.2147/IDR.S299704DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164697PMC
May 2021

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

J Recept Signal Transduct Res 2021 Apr 15:1-10. Epub 2021 Apr 15.

Department of Nuclear Medicine, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Yunnan, Kunming, People's Republic of China.

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 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.
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http://dx.doi.org/10.1080/10799893.2021.1910706DOI Listing
April 2021

Different exposure metrics of rotating night shift work and hyperhomocysteinaemia among Chinese steelworkers: a cross-sectional study.

BMJ Open 2020 12 15;10(12):e041576. Epub 2020 Dec 15.

Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China

Objective: To examine the associations of rotating night shift work with hyperhomocysteinaemia (HHcy) odds by different exposure metrics.

Design: Cross-sectional study.

Setting: Occupational physical examination centre for steel production workers, Tangshan, China.

Participants: A total of 6846 steelworkers, aged 22-60 years, from the baseline survey of a Chinese occupational cohort.

Primary And Secondary Outcome Measures: Different exposure metrics of night shift work, including current shift status, duration of night shifts (years), cumulative number of night shifts (nights), cumulative length of night shifts (hours), average frequency of night shifts (nights/month), average length of night shifts (hours/night) and percentage of hours on night shifts, were used to examine the effects of past and current night shift work on HHcy odds. The total homocysteine concentration in the plasma above 15 µmol/L was defined as HHcy.

Results: Compared with those who never worked night shifts, current night shift workers had elevated odds of HHcy (OR 1.23, 95% CI 1.06 to 1.44). Considering a person's lifetime work schedule and compared with individuals who never worked night shifts, duration of night shifts >28 years (OR 1.35, 95% CI 1.12 to 1.61), average frequency of night shifts >7 nights/month (OR 1.25, 95% CI 1.07 to 1.47) and percentage of hours on night shifts >30% (OR 1.23, 95% CI 1.05 to 1.43) were associated with higher HHcy odds. The duration of night shifts >20 years and the average frequency of night shifts >7 nights/month could significantly increase the odds of HHcy regardless of whether the average length of night shifts was greater than 8 hours/night. After stratification by sex, no significant association was found in female workers between different exposure metrics of night shift work and HHcy.

Conclusions: Long duration and high frequency of night shift work are associated with higher HHcy odds among male steelworkers.
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http://dx.doi.org/10.1136/bmjopen-2020-041576DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745529PMC
December 2020

Rotating Night Shift Work, Exposure to Light at Night, and Glomerular Filtration Rate: Baseline Results from a Chinese Occupational Cohort.

Int J Environ Res Public Health 2020 12 4;17(23). Epub 2020 Dec 4.

Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China.

The misalignment between the circadian clock and behavioral cycles has been implicated in pathogenesis of many diseases. The main purpose of this study is to examine the association between rotating night shift work, exposure to light at night, and glomerular filtration rate among steelworkers in north China. A total of 6869 steelworkers, aged 22 to 60 years, were included in this study. Multivariable logistic regression was used to examine the association between night shift work, the brightness of bedroom ambient light at night (LAN), and estimated glomerular filtration rate (eGFR), with adjustment for potential confounders. Mediation analysis was performed to examine the mediation effect of potential mediators on the association of duration of night shifts and eGFR. Long duration of night shift work (≥29 years) had elevated odds of decreased eGFR (≤89 mL/min/1.73 m) (odds ratio (OR), 1.37, 95% confidence interval (CI) 1.09-1.73) compared with day work after adjustment for potential confounders. The association between duration of night shifts and eGFR (continuous) was partially modified by diastolic blood pressure (average causal mediation effect (ACME), -0.077, 95% CI -0.134 to -0.030, < 0.001). No significant associations were observed among the different brightness of bedroom ambient light levels: middle level (OR, 0.90, 95% CI 0.77-1.05), lightest level (OR, 0.94, 95% CI 0.75-1.18), and decreased eGFR compared with the darkest level. Long-term night-shift work, rather than the brightness of bedroom ambient LAN, is associated with early stage of renal dysfunction in steelworkers, and blood pressure may mediate the relationship between night shift work and decreased eGFR.
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http://dx.doi.org/10.3390/ijerph17239035DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730862PMC
December 2020

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

Plant J 2021 01 28;105(1):108-123. Epub 2020 Nov 28.

State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China.

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.
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http://dx.doi.org/10.1111/tpj.15043DOI Listing
January 2021

Estimating the Prevalence and Mortality of Coronavirus Disease 2019 (COVID-19) in the USA, the UK, Russia, and India.

Infect Drug Resist 2020 29;13:3335-3350. Epub 2020 Sep 29.

Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, People's Republic of China.

Objective: The aim of this study is to apply the advanced error-trend-seasonal (ETS) framework to forecast the prevalence and mortality series of COVID-19 in the USA, the UK, Russia, and India, and the predictive performance of the ETS framework was compared with the most frequently used autoregressive integrated moving average (ARIMA) model.

Materials And Methods: The prevalence and mortality data of COVID-19 in the USA, the UK, Russia, and India between 20 February 2020 and 15 May 2020 were extracted from the WHO website. Then, the data subsamples between 20 February 2020 and 3 May 2020 were treated as the training horizon, and the others were used as the testing horizon to construct the ARIMA models and the ETS models.

Results: Based on the model evaluation criteria, the ARIMA (0,2,1) and ETS (M,MD,N), sparse coefficient ARIMA (0,2,(1,6)) and ETS (A,AD,M), ARIMA (1,1,1) and ETS (A,MD,A), together with ARIMA (2,2,1) and ETS (A,M,A) specifications were identified as the preferred ARIMA and ETS models for the prevalence data in the USA, the UK, Russia, and India, respectively; the ARIMA (0,2,1) and ETS (M,A,M), ARIMA (0,2,1) and ETS (M,A,N), ARIMA (0,2,1) and ETS (A,A,N), coupled with ARIMA (0,2,2) and ETS (M,M,N) specifications were selected as the optimal ARIMA and ETS models for the mortality data in these four countries, respectively. Among these best-fitting models, the ETS models produced smaller forecasting error rates than the ARIMA models in all the datasets.

Conclusion: The ETS framework can be used to nowcast and forecast the long-term temporal trends of the COVID-19 prevalence and mortality in the USA, the UK, Russia, and India, and which provides a notable performance improvement over the most frequently used ARIMA model. Our findings can aid governments as a reference to prepare for and respond to the COVID-19 pandemic both in restricting the transmission of the disease and in lowering the disease-related deaths in the upcoming days.
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http://dx.doi.org/10.2147/IDR.S265292DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532899PMC
September 2020

The long-term effects of meteorological parameters on pertussis infections in Chongqing, China, 2004-2018.

Sci Rep 2020 10 14;10(1):17235. Epub 2020 Oct 14.

Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453000, People's Republic of China.

Evidence on the long-term influence of climatic variables on pertussis is limited. This study aims to explore the long-term quantitative relationship between weather variability and pertussis. Data on the monthly number of pertussis cases and weather parameters in Chongqing in the period of 2004-2018 were collected. Then, we used a negative binomial multivariable regression model and cointegration testing to examine the association of variations in monthly meteorological parameters and pertussis. Descriptive statistics exhibited that the pertussis incidence rose from 0.251 per 100,000 people in 2004 to 3.661 per 100,000 persons in 2018, and pertussis was a seasonal illness, peaked in spring and summer. The results from the regression model that allowed for the long-term trends, seasonality, autoregression, and delayed effects after correcting for overdispersion showed that a 1 hPa increment in the delayed one-month air pressure contributed to a 3.559% (95% CI 0.746-6.293%) reduction in the monthly number of pertussis cases; a 10 mm increment in the monthly aggregate precipitation, a 1 °C increment in the monthly average temperature, and a 1 m/s increment in the monthly average wind velocity resulted in 3.641% (95% CI 0.960-6.330%), 19.496% (95% CI 2.368-39.490%), and 3.812 (95% CI 1.243-11.690)-fold increases in the monthly number of pertussis cases, respectively. The roles of the mentioned weather parameters in the transmission of pertussis were also evidenced by a sensitivity analysis. The cointegration testing suggested a significant value among variables. Climatic factors, particularly monthly temperature, precipitation, air pressure, and wind velocity, play a role in the transmission of pertussis. This finding will be of great help in understanding the epidemic trends of pertussis in the future, and weather variability should be taken into account in the prevention and control of pertussis.
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http://dx.doi.org/10.1038/s41598-020-74363-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560825PMC
October 2020

Use of meteorological parameters for forecasting scarlet fever morbidity in Tianjin, Northern China.

Environ Sci Pollut Res Int 2021 Feb 7;28(6):7281-7294. Epub 2020 Oct 7.

Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, No. 601 Jinsui road, Hongqi District, Xinxiang City, 453003, Henan Province, People's Republic of China.

The scarlet fever incidence has increased drastically in recent years in China. However, the long-term relationship between climate variation and scarlet fever remains contradictory, and an early detection system is lacking. In this study, we aim to explore the potential long-term effects of variations in monthly climatic parameters on scarlet fever and to develop an early scarlet-fever detection tool. Data comprising monthly scarlet fever cases and monthly average climatic variables from 2004 to 2017 were retrieved from the Notifiable Infectious Disease Surveillance System and National Meteorological Science Center, respectively. We used a negative binomial multivariable regression to assess the long-term impacts of weather parameters on scarlet fever and then built a novel forecasting technique by integrating an autoregressive distributed lag (ARDL) method with a nonlinear autoregressive neural network (NARNN) based on the significant meteorological drivers. Scarlet fever was a seasonal disease that predominantly peaked in spring and winter. The regression results indicated that a 1 °C increment in the monthly average temperature and a 1-h increment in the monthly aggregate sunshine hours were associated with 17.578% (95% CI 7.674 to 28.393%) and 0.529% (95% CI 0.035 to 1.025%) increases in scarlet fever cases, respectively; a 1-hPa increase in the average atmospheric pressure at a 1-month lag was associated with 12.996% (95% CI 9.972 to 15.919%) decrements in scarlet fever cases. Based on the model evaluation criteria, the best-performing basic and combined approaches were ARDL(1,0,0,1) and ARDL(1,0,0,1)-NARNN(5, 22), respectively, and this hybrid approach comprised smaller performance measures in both the training and testing stages than those of the basic model. Climate variability has a significant long-term influence on scarlet fever. The ARDL-NARNN technique with the incorporation of meteorological drivers can be used to forecast the future epidemic trends of scarlet fever. These findings may be of great help for the prevention and control of scarlet fever.
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http://dx.doi.org/10.1007/s11356-020-11072-9DOI Listing
February 2021

Forecasting the epidemiological trends of COVID-19 prevalence and mortality using the advanced -Sutte Indicator.

Epidemiol Infect 2020 10 5;148:e236. Epub 2020 Oct 5.

Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, P.R. China.

Forecasting the epidemics of the diseases is very valuable in planning and supplying resources effectively. This study aims to estimate the epidemiological trends of the coronavirus disease 2019 (COVID-19) prevalence and mortality using the advanced α-Sutte Indicator, and its prediction accuracy level was compared with the most frequently adopted autoregressive integrated moving average (ARIMA) method. Time-series analysis was performed based on the total confirmed cases and deaths of COVID-19 in the world, Brazil, Peru, Canada and Chile between 27 February 2020 and 30 June 2020. By comparing the prediction reliability indices, including the root mean square error, mean absolute error, mean error rate, mean absolute percentage error and root mean square percentage error, the α-Sutte Indicator was found to produce lower forecasting error rates than the ARIMA model in all data apart from the prevalence testing set globally. The α-Sutte Indicator can be recommended as a useful tool to nowcast and forecast the COVID-19 prevalence and mortality of these regions except for the prevalence around the globe in the near future, which will help policymakers to plan and prepare health resources effectively. Also, the findings of our study may have managerial implications for the outbreak in other countries.
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http://dx.doi.org/10.1017/S095026882000237XDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7562786PMC
October 2020

Optimization of isolation and transfection conditions of maize endosperm protoplasts.

Plant Methods 2020 9;16:96. Epub 2020 Jul 9.

State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China.

Background: Endosperm-trait related genes are associated with grain yield or quality in maize. There are vast numbers of these genes whose functions and regulations are still unknown. The biolistic system, which is often used for transient gene expression, is expensive and involves complex protocol. Besides, it cannot be used for simultaneous analysis of multiple genes. Moreover, the biolistic system has little physiological relevance when compared to cell-specific based system. Plant protoplasts are efficient cell-based systems which allow quick and simultaneous transient analysis of multiple genes. Typically, PEG-calcium mediated transfection of protoplast is simple and cost-effective. Notably, starch granules in cereal endosperm may diminish protoplast yield and integrity, if the isolation and transfection conditions are not accurately measured. Prior to this study, no PEG-calcium mediated endosperm protoplast system has been reported for cereal crop, perhaps, because endosperm cells accumulate starch grains.

Results: Here, we showed the uniqueness of maize endosperm-protoplast system (EPS) in conducting endosperm cell-based experiments. By using response surface designs, we established optimized conditions for the isolation and PEG-calcium mediated transfection of maize endosperm protoplasts. The optimized conditions of 1% cellulase, 0.75% macerozyme and 0.4 M mannitol enzymolysis solution for 6 h showed that more than 80% protoplasts remained viable after re-suspension in 1 ml MMG. The EPS was used to express GFP protein, analyze the subcellular location of ZmBT1, characterize the interaction of O2 and PBF1 by bimolecular fluorescent complementation (BiFC), and simultaneously analyze the regulation of expression by ZmMYB14.

Conclusions: The described optimized conditions proved efficient for reasonable yield of viable protoplasts from maize endosperm, and utility of the protoplast in rapid analysis of endosperm-trait related genes. The development of the optimized protoplast isolation and transfection conditions, allow the exploitation of the functional advantages of protoplast system over biolistic system in conducting endosperm-based studies (particularly, in transient analysis of genes and gene regulation networks, associated with the accumulation of endosperm storage products). Such analyses will be invaluable in characterizing endosperm-trait related genes whose functions have not been identified. Thus, the EPS will benefit the research of cereal grain yield and quality improvement.
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http://dx.doi.org/10.1186/s13007-020-00636-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346502PMC
July 2020

Time series analysis of temporal trends in hemorrhagic fever with renal syndrome morbidity rate in China from 2005 to 2019.

Sci Rep 2020 06 15;10(1):9609. Epub 2020 Jun 15.

Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, P.R. China.

Hemorrhagic fever with renal syndrome (HFRS) is seriously endemic in China with 70%~90% of the notified cases worldwide and showing an epidemic tendency of upturn in recent years. Early detection for its future epidemic trends plays a pivotal role in combating this threat. In this scenario, our study investigates the suitability for application in analyzing and forecasting the epidemic tendencies based on the monthly HFRS morbidity data from 2005 through 2019 using the nonlinear model-based self-exciting threshold autoregressive (SETAR) and logistic smooth transition autoregressive (LSTAR) methods. The experimental results manifested that the SETAR and LSTAR approaches presented smaller values among the performance measures in both two forecasting subsamples, when compared with the most extensively used seasonal autoregressive integrated moving average (SARIMA) method, and the former slightly outperformed the latter. Descriptive statistics showed an epidemic tendency of downturn with average annual percent change (AAPC) of -5.640% in overall HFRS, however, an upward trend with an AAPC = 1.213% was observed since 2016 and according to the forecasts using the SETAR, it would seemingly experience an outbreak of HFRS in China in December 2019. Remarkably, there were dual-peak patterns in HFRS incidence with a strong one occurring in November until January of the following year, additionally, a weak one in May and June annually. Therefore, the SETAR and LSTAR approaches may be a potential useful tool in analyzing the temporal behaviors of HFRS in China.
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http://dx.doi.org/10.1038/s41598-020-66758-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295973PMC
June 2020

Epidemiological characteristics of imported malaria in Shandong Province, China, from 2012 to 2017.

Sci Rep 2020 05 5;10(1):7568. Epub 2020 May 5.

Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China.

Shandong Province, China, has been implementing a malaria elimination program. In this study, we analyzed the epidemiological characteristics of malaria imported into Shandong Province between 2012 and 2017 to provide scientific data for the elimination of malaria. In this epidemiological study, we examined the status of malaria in 2012-2017 in Shandong Province, China. Data on all cases of malaria were collected from the online Infection Diseases Monitor Information System to describe and statistically analyze the sources of infection, species of parasite, populations affected, regional distributions, incidence, and temporal distributions of malaria. In total, 1053 cases of malaria were reported in 2012-2017, and all of them were imported. Plasmodium falciparum was the predominant species (77.6%) in Shandong Province; P. vivax malaria accounted for 10.9% of the total number of cases, P. ovale malaria for 2.9%, and P. malariae malaria for 8.2%. Most patients were male (96.8%), most were aged 21-50 years (87.2%), and migrant laborers (77.2%) and workers (6.6%) were at highest risk. The origin of the largest number of imported cases was Africa (93.4%), followed by Asia (5.9%) and Oceania (0.4%). Most cases of imported malaria occurred in June each year and 70% of cases were recorded in six cities during the period of 2012-2017. It is necessary to strengthen malaria surveillance among workers returning home from Africa and Southeast Asia, and to conduct timely blood tests to diagnose and treat imported infections.
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http://dx.doi.org/10.1038/s41598-020-64593-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200687PMC
May 2020

An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China.

Infect Drug Resist 2020 24;13:867-880. Epub 2020 Mar 24.

Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.

Purpose: Qinghai province has invariably been under an ongoing threat of tuberculosis (TB), which has not only been an obstacle to local development but also hampers the prevention and control process for ending the TB epidemic. Forecasting for future epidemics will serve as the base for early detection and planning resource requirements. Here, we aim to develop an advanced detection technique driven by the recent TB incidence series, by fusing a seasonal autoregressive integrated moving average (SARIMA) with a neural network nonlinear autoregression (NNNAR).

Methods: We collected the TB incidence data between January 2004 and December 2016. Subsequently, the subsamples from January 2004 to December 2015 were employed to measure the efficiency of the single SARIMA, NNNAR, and hybrid SARIMA-NNNAR approaches, whereas the hold-out subsamples were used to test their predictive performances. We finally selected the best-performing technique by considering minimum metrics including the mean absolute error, root-mean-squared error, mean absolute percentage error and mean error rate .

Results: During 2004-2016, the reported TB cases totaled 71,080 resulting in the morbidity of 97.624 per 100,000 persons annually in Qinghai province and showed notable peak activities in late winter and early spring. Moreover, the TB incidence rate was surging by 5% per year. According to the above-mentioned criteria, the best-fitting basic and hybrid techniques consisted of SARIMA(2,0,2)(1,1,0), NNNAR(7,1,4) and SARIMA(2,0,2)(1,1,0)-NNNAR(3,1,7), respectively. Amongst them, the hybrid technique showed superiority in both mimic and predictive parts, with the lowest values of the measured metrics in both the parts. The sensitivity analysis indicated the same results.

Conclusion: The best-mimicking SARIMA-NNNAR hybrid model outperforms the best-simulating basic SARIMA and NNNAR models, and has a potential application in forecasting and assessing the TB epidemic trends in Qinghai. Furthermore, faced with the major challenge of the ongoing upsurge in TB incidence in Qinghai, there is an urgent need for formulating specific preventive and control measures.
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http://dx.doi.org/10.2147/IDR.S232854DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102880PMC
March 2020

Secular Seasonality and Trend Forecasting of Tuberculosis Incidence Rate in China Using the Advanced Error-Trend-Seasonal Framework.

Infect Drug Resist 2020 5;13:733-747. Epub 2020 Mar 5.

Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.

Objective: Tuberculosis (TB) is a major public health problem in China, and contriving a long-term forecast is a useful aid for better launching prevention initiatives. Regrettably, such a forecasting method with robust and accurate performance is still lacking. Here, we aim to investigate its potential of the error-trend-seasonal (ETS) framework through a series of comparative experiments to analyze and forecast its secular epidemic seasonality and trends of TB incidence in China.

Methods: We collected the TB incidence data from January 1997 to August 2019, and then partitioning the data into eight different training and testing subsamples. Thereafter, we constructed the ETS and seasonal autoregressive integrated moving average (SARIMA) models based on the training subsamples, and multiple performance indices including the mean absolute deviation, mean absolute percentage error, root-mean-squared error, and mean error rate were adopted to assess their simulation and projection effects.

Results: In the light of the above performance measures, the ETS models provided a pronounced improvement for the long-term seasonality and trend forecasting in TB incidence rate over the SARIMA models, be it in various training or testing subsets apart from the 48-step ahead forecasting. The descriptive results to the data revealed that TB incidence showed notable seasonal characteristics with predominant peaks of spring and early summer and began to be plunging at on average 3.722% per year since 2008. However, this rate reduced to 2.613% per year since 2015 and furthermore such a trend would be predicted to continue in years ahead.

Conclusion: The ETS framework has the ability to conduct long-term forecasting for TB incidence, which may be beneficial for the long-term planning of the TB prevention and control. Additionally, considering the predicted dropping rate of TB morbidity, more particular strategies should be formulated to dramatically accelerate progress towards the goals of the End TB Strategy.
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http://dx.doi.org/10.2147/IDR.S238225DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062399PMC
March 2020

Performance of quick sequential organ failure assessment (qSOFA) score for prognosis of heat-related hospitalized patients.

Heart Lung 2020 Jul - Aug;49(4):415-419. Epub 2020 Mar 3.

Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan 250033, China. Electronic address:

Background: Heat-related illnesses pose significant threats to human health.

Objectives: (1) To evaluate the use of qSOFA score for prognosis of heat-related hospitalized patients; and (2) identify other predictors for patient prognosis.

Methods: Using 28-day mortality as the primary endpoint, a retrospective, observational study of patients hospitalized between June 2013 and September 2018 was conducted.

Results: The qSOFA score from 84 patients was identified as an independent predictor of patient prognosis. The area under the receiver operating characteristic curves for qSOFA score was 0.702, and a sensitivity of 100.00% and a specificity of 47.06% were found for qSOFA score greater than or equal to 2. Other predictors included bilirubin, urea nitrogen, and troponin I levels.

Conclusions: qSOFA score can be used as a parameter to distinguish patients with severe heat-related illness prior to further clinical analyses. In addition to that, multiple organ impairment should be considered when assessing patient prognosis.
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http://dx.doi.org/10.1016/j.hrtlng.2020.02.040DOI Listing
December 2020

Rotating night shift work and non-alcoholic fatty liver disease among steelworkers in China: a cross-sectional survey.

Occup Environ Med 2020 05 4;77(5):333-339. Epub 2020 Feb 4.

Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China

Objectives: In a 24/7 society, the negative metabolic effects of rotating night shift work have been increasingly explored. This study aimed to examine the association between rotating night shift work and non-alcoholic fatty liver disease (NAFLD) in steelworkers.

Methods: A total of 6881 subjects was included in this study. Different exposure metrics of night shift work including current shift status, duration of night shifts (years), cumulative number of night shifts (nights), cumulative length of night shifts (hours), average frequency of night shifts (nights/month) and average length of night shifts (hours/night) were used to examine the relationship between night shift work and NAFLD.

Results: Current night shift workers had elevated odds of NAFLD (OR, 1.23, 95% CI 1.02 to 1.48) compared with those who never worked night shifts after adjustment for potential confounders. Duration of night shifts, cumulative number of night shifts and cumulative length of night shifts were positively associated with NAFLD. Both the average frequency of night shifts (>7 nights/month vs ≤7 nights/month: OR, 1.24, 95% CI 1.06 to 1.45) and average length of night shifts (>8 hours/night vs ≤8 hours/night: OR, 1.27, 95% CI 1.08 to 1.51) were independently associated with overall NAFLD after mutually adjusting for the duration of night shifts and other potential confounders among night shift workers. No significant association was found in female workers between different exposure metrics of night shift work and NAFLD.

Conclusions: Rotating night shift work is associated with elevated odds of NAFLD in male steelworkers.
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http://dx.doi.org/10.1136/oemed-2019-106220DOI Listing
May 2020

The Protective Role of Tanshinone IIA in Silicosis Rat Model via TGF-β1/Smad Signaling Suppression, NOX4 Inhibition and Nrf2/ARE Signaling Activation.

Drug Des Devel Ther 2019 18;13:4275-4290. Epub 2019 Dec 18.

Department of Respiratory Medicine, The Second Hospital of Shandong University, Jinan, Shandong 250033, People's Republic of China.

Purpose: Silicosis is an occupational disease caused by inhalation of silica and there are no effective drugs to treat this disease. Tanshinone IIA (Tan IIA), a traditional natural component, has been reported to possess anti-inflammatory, antioxidant, and anti-fibrotic properties. The current study's purpose was to examine Tan IIA's protective effects against silica-induced pulmonary fibrosis and to explore the underlying mechanisms.

Methods: 48 male SD rats were randomly divided into four groups (n=12): i) Control group; ii) Silicosis group; iii) Tan IIA group; iv) Silicosis +Tan IIA group. Two days after modeling, the rats of Tan IIA group and Silicosis +Tan IIA group were given intraperitoneal administration 25 mg/kg/d Tan IIA for 40 days. Then, the four groups of rats were sacrificed and the lung inflammatory responses were measured by ELISA, lung damage and fibrosis were analyzed by hematoxylin and eosin (H&E) staining and Masson staining, the expression levels of collagen I, fibronectin and α-smooth muscle actin (α-SMA) were measured by immunohistochemistry. The markers of oxidative stress were measured by commercial kits, and the activity of the TGF-β1/Smad and NOX4, Nrf2/ARE signaling pathways were measured by RT-PCR and Western blotting.

Results: The silica-induced pulmonary inflammtory responses, structural damage and fibrosis were significantly attenuated by Tan IIA treatment. In addition, treatment with Tan IIA decreased collagen I, fibronectin and α-SMA expression, and inhibited TGF-β1/Smad signaling in the lung tissue. The upregulated levels of oxidative stress markers in silicosis rats were also markedly restored following Tan IIA treatment. Furthermore, treatment with Tan IIA reduced NOX4 expression and enhanced activation of the Nrf2/ARE pathway in the lung tissue of silicosis rats.

Conclusion: These findings suggest that Tan IIA may protect lung from silica damage via the suppression of TGF-β1/Smad signaling, inhibition of NOX4 expression and activation of the Nrf2/ARE pathway.
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http://dx.doi.org/10.2147/DDDT.S230572DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930391PMC
June 2020

Loss of p53 Sensitizes Cells to Palmitic Acid-Induced Apoptosis by Reactive Oxygen Species Accumulation.

Int J Mol Sci 2019 Dec 12;20(24). Epub 2019 Dec 12.

National Crop Science Experimental Teaching Demonstration Center, College of Agronomy, Sichuan Agricultural University, Huimin Road 211#, Wenjiang District, Chengdu 611130, China.

Palmitic acid, the most common saturated free fatty acid, can lead to lipotoxicity and apoptosis when overloaded in non-fat cells. Palmitic acid accumulation can induce pancreatic β-cell dysfunction and cardiac myocyte apoptosis. Under various cellular stresses, the activation of p53 signaling can lead to cell cycle arrest, DNA repair, senescence, or apoptosis, depending on the severity/type of stress. Nonetheless, the precise role of p53 in lipotoxicity induced by palmitic acid is not clear. Here, our results show that palmitic acid induces p53 activation in a dose- and time-dependent manner. Furthermore, loss of p53 makes cells sensitive to palmitic acid-induced apoptosis. These results were demonstrated in human colon carcinoma cells (HCT116) and primary mouse embryo fibroblasts (MEF) through analysis of DNA fragmentation, flow cytometry, colony formation, and Western blots. In the HCT116 p53 cell line, palmitic acid induced greater reactive oxygen species formation compared to the p53 cell line. The reactive oxygen species (ROS) scavengers N-acetyl cysteine (NAC) and reduced glutathione (GSH) partially attenuated apoptosis in the HCT116 p53 cell line but had no obvious effect on the p53 cell line. Furthermore, p53 induced the expression of its downstream target genes, and , in response to ROS induced by palmitic acid. Loss of p21 also leads to more palmitic acid-induced cell apoptosis in the HCT116 cell line compared with HCT116 p53 and HCT116 p53. In a mouse model of obesity, glucose tolerance test assays showed higher glucose levels in p53 mice that received a high fat diet compared to wild type mice that received the same diet. There were no obvious differences between p53 and p53 mice that received a regular diet. We conclude that p53 may provide some protection against palmitic acid- induced apoptosis in cells by targeting its downstream genes in response to this stress.
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http://dx.doi.org/10.3390/ijms20246268DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941153PMC
December 2019

Genome-wide identification and expression analysis of the gene family in soybean ().

PeerJ 2019 6;7:e7950. Epub 2019 Dec 6.

Key Laboratory of Soybean Biology in Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chnese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang, China.

In eukaryotes, proteins encoded by the genes are ubiquitously involved in the plant growth and development. The gene family has been identified in several plants. In the present study, we identified 22 genes in the soybean genomic data. On the basis of the evolutionary analysis, they were clustered into ε and non-ε groups. The of two groups were highly conserved in motifs and gene structures. RNA-seq analysis suggested that genes were the major regulator of soybean morphogenesis. Moreover, the expression level of most changed obviously in multiple stress responses (drought, salt and cold), suggesting that they have the abilities of responding to multiple stresses. Taken together, this study shows that soybean participate in plant growth and can response to various environmental stresses. These results provide important information for further understanding of the functions of genes in soybean.
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http://dx.doi.org/10.7717/peerj.7950DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901008PMC
December 2019

Tanshinone IIA attenuates silica-induced pulmonary fibrosis via inhibition of TGF-β1-Smad signaling pathway.

Biomed Pharmacother 2020 Jan 6;121:109586. Epub 2019 Nov 6.

Department of Respiratory Medicine, The Second Hospital of Shandong University, Jinan, Shandong, 250033, PR China. Electronic address:

Transforming growth factor-β 1 (TGF-β1) is a key mediator in fibrogenesis, and is upregulated and activated in fibrotic diseases. The exact role of TGF-β1-Smad signaling in the progression of silicosis fibrosis is yet to be conclusively determined. Using a Wistar rat silicosis model, we examined whether tanshinone IIA (Tan IIA) could meliorate silicosis fibrosis. The pulmonary fibroblasts of rats from the normal control group and silicosis-induced model group were extracted and examined so as to further explore the disruption of TGF-β1-Smad signaling pathway in silicosis pathogenesis and the intervention of Tan IIA in this pathway. Using RT-PCR, immunohistochemical staining, and immunofluorescence analysis, we determined that Tan IIA could ameliorate silicosis fibrosis, downregulate collagen I, collagen III, and α-SMA expression both, in vivo and in vitro. In silicosis fibroblasts, TGF-β1 induced phosphorylation of Smad2, Smad3, and negative feedback Smad7 inhibition in a dose dependent manner, and the phosphorylation of Smad3 persisted when the upstream signal was blocked. Tan IIA treatment effectively inhibited the TGF-β1-induced phosphorylation of Smads, especially the persistent phosphorylation of Smad3 in the nucleus, and upregulated the expression of Smad7 in silicosis fibroblasts, leading to a reduction in ECM deposition. Our findings indicate that dysregulation of the TGF-β1-Smad signaling pathway may play an important role in the pathological process of silicosis. Tan IIA thus ameliorates silicosis fibrosis partially by suppressing activation of TGF-β1-Smad signaling pathway, which may turn out to be a potential therapeutic approach to prevent silicosis fibrosis.
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http://dx.doi.org/10.1016/j.biopha.2019.109586DOI Listing
January 2020

Rho GTPase‑activating protein 1 promotes apoptosis of myocardial cells in an ischemic cardiomyopathy model.

Kardiol Pol 2019 Dec 30;77(12):1163-1169. Epub 2019 Oct 30.

Department of Emergency Internal Medicine, Affiliated Hospital of Qingdao University, Qingdao, China.

Background: Ischemic cardiomyopathy (ICM) leads to heart failure by causing apoptosis of cardiac myocytes. It is generally believed that a therapy targeting apoptosis of cardiac myocytes would improve the prognosis of patients with ischemic heart disease.

Aims: We aimed to investigate the role of Rho GTPase‑activating protein 1 (ARHGAP1) in ICM.

Methods: The cellular model of myocardial ischemia (H9c2 cell model) and a rat model of ICM were established to explore the expression of ARHGAP1. The overexpression of ARHGAP1 was induced in H9c2 myocardial cells to assess protein function.

Results: The expression of ARHGAP1 as a result of hypoxic conditions in the cellular and rat models was observed. Its overexpression induced apoptosis of cultured H9c2 cells under normal atmospheric conditions. ARHGAP1 was also shown to initiate the apoptosis pathway by regulating the cell death modulators B‑cell lymphoma 2 (Bcl‑2) and Bcl‑2‑associated X protein.

Conclusions: Our results show that the ARHGAP1 expression is closely associated with apoptosis of myocardial cells, which in turn leads to ICM. Thus, ARHGAP1 may become a novel molecular marker of the hypoxia‑induced apoptosis pathway and serve as a potential therapeutic target in patients with ICM.
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http://dx.doi.org/10.33963/KP.15040DOI Listing
December 2019

Polyphyllin I and VII potentiate the chemosensitivity of A549/DDP cells to cisplatin by enhancing apoptosis, reversing EMT and suppressing the CIP2A/AKT/mTOR signaling axis.

Oncol Lett 2019 Nov 20;18(5):5428-5436. Epub 2019 Sep 20.

Department of Respiratory Medicine, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China.

Poor response and resistance to cisplatin (DDP)-based chemotherapy frequently leads to treatment failure in advanced non-small cell lung cancer (NSCLC). The underlying molecular mechanism is extremely complex and currently remains unclear. The overexpression of cancerous inhibitor of protein phosphatase 2A (CIP2A) indicates poor prognosis and promotes the epithelial-to-mesenchymal transition (EMT) and metastasis. The EMT has been reported to promote drug resistance in numerous previous studies. CIP2A and its downstream protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway also plays a role in mediating DDP resistance. Polyphyllin I (PPI) and polyphyllin VII (PPVII) are natural components extracted from that display anti-cancer properties. In the present study, the chemosensitizing effects of PPI and PPVII were investigated in the DDP-resistant NSCLC cell line A549/DDP, as well as the underlying molecular mechanisms. The results demonstrated that PPI and PPVII could significantly inhibit cell proliferation and enhance the sensitivities of A549/DDP cells to DDP. When assessing the underlying molecular mechanism, it was revealed that PPI and PPVII enhanced DDP-induced apoptosis in A549/DDP cells via p53 upregulation and the caspase-dependent pathway. Furthermore, PPI and PPVII reversed the EMT and suppressed CIP2A and its downstream AKT/mTOR signaling cascade in A549/DDP cells. Overall, the results from the present study demonstrated that PPI and PPVII may function as chemosensitizers by enhancing apoptosis via the p53 pathway, reversing EMT and suppressing the CIP2A/AKT/mTOR signaling axis, and the combination with DDP may be a promising strategy for the development of new therapeutic agents.
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http://dx.doi.org/10.3892/ol.2019.10895DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781722PMC
November 2019

Genetic dissection of yield-related traits and mid-parent heterosis for those traits in maize (Zea mays L.).

BMC Plant Biol 2019 Sep 9;19(1):392. Epub 2019 Sep 9.

State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China.

Background: Utilization of heterosis in maize could be critical in maize breeding for boosting grain yield. However, the genetic architecture of heterosis is not fully understood. To dissect the genetic basis of yield-related traits and heterosis in maize, 301 recombinant inbred lines derived from 08 to 641 × YE478 and 298 hybrids from the immortalized F (IF) population were used to map quantitative trait loci (QTLs) for nine yield-related traits and mid-parent heterosis.

Results: We observed 156 QTLs, 28 pairs of loci with epistatic interaction, and 10 significant QTL × environment interactions in the inbred and hybrid mapping populations. The high heterosis in F and IF populations for kernel weight per ear (KWPE), ear weight per ear (EWPE), and kernel number per row (KNPR) matched the high percentages of QTLs (over 50%) for those traits exhibiting overdominance, whereas a notable predominance of loci with dominance effects (more than 70%) was observed for traits that show low heterosis such as cob weight per ear (CWPE), rate of kernel production (RKP), ear length (EL), ear diameter (ED), cob diameter, and row number (RN). The environmentally stable QTL qRKP3-2 was identified across two mapping populations, while qKWPE9, affecting the trait mean and the mid-parent heterosis (MPH) level, explained over 18% of phenotypic variations. Nine QTLs, qEWPE9-1, qEWPE10-1, qCWPE6, qEL8, qED2-2, qRN10-1, qKWPE9, qKWPE10-1, and qRKP4-3, accounted for over 10% of phenotypic variation. In addition, QTL mapping identified 95 QTLs that were gathered together and integrated into 33 QTL clusters on 10 chromosomes.

Conclusions: The results revealed that (1) the inheritance of yield-related traits and MPH in the heterotic pattern improved Reid (PA) × Tem-tropic I (PB) is trait-dependent; (2) a large proportion of loci showed dominance effects, whereas overdominance also contributed to MPH for KNPR, EWPE, and KWPE; (3) marker-assisted selection for markers at genomic regions 1.09-1.11, 2.04, 3.08-3.09, and 10.04-10.05 contributed to hybrid performance per se and heterosis and were repeatedly reported in previous studies using different heterotic patterns is recommended.
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http://dx.doi.org/10.1186/s12870-019-2009-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734583PMC
September 2019

Genome-wide identification and expression analysis of the gene family in soybean ().

PeerJ 2019 21;7:e7509. Epub 2019 Aug 21.

Key Laboratory of Soybean Biology in Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang, China.

Background: VQ proteins, the plant-specific transcription factors, are involved in plant development and multiple stresses; however, only few articles systematic reported the genes in soybean.

Methods: In total, we identified 75 genes, which were classified into 7 groups (I-VII). Conserved domain analysis indicated that gene family members all contain the domains. genes from the same evolutionary branches of soybean shared similar motifs and structures. Promoter analysis revealed that -elements related to stress responses, phytohormone responses and controlling physical as well as reproductive growth. Based on the RNA-seq and qRT-PCR analysis, genes were showed expressing in nine tissues, suggesting their putative function in many aspects of plant growth and development as well as response to stress in .

Results: This study aims to understand the roles of genes in various development processes and their expression patterns in responses to stimuli. Our results provide basic information in identification and classification of genes. Further experimental analysis will allows us to know the functions of participation in plant growth and stress responses.
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http://dx.doi.org/10.7717/peerj.7509DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708371PMC
August 2019

Ginsenoside Rg1 ameliorates cardiac oxidative stress and inflammation in streptozotocin-induced diabetic rats.

Diabetes Metab Syndr Obes 2019 10;12:1091-1103. Epub 2019 Jul 10.

Emergency Department, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, People's Republic of China.

Ginsenoside Rg1 (GS Rg1), as an important active substance of Panax ginseng, has been proven to have elaborate cardioprotective effects. The purpose of this study was to detect that GS Rg1 attenuates cardiac oxidative stress and inflammation in streptozotocin (STZ)-induced diabetic rats (DM). Cardiac function was assessed by heart rate and blood pressure. Markers relevant to myocardial oxidative stress and antioxidant capacity, and inflammatory reaction factors were detected. The mRNA and protein expression were detected by RT-qPCR and Western blot, respectively. GS Rg1 treatment significantly reduced the symptoms of cardiac hypertrophy and hypertension, and also decreased oxidative stress, inflammation response, NF-κB expression and NLRP3 inflammasome expression. GS Rg1 enhanced mitochondrial biogenesis by increasing PGC-1α, complex III and complex Ⅳ expression. GS Rg1 treatment significantly increased the expression of AMPK, Nrf2 and HO-1 in cardiac tissues. GS Rg1 exhibited protective effect against STZ-induced cardiac dysfunction, which is potentially associated with AMPK/Nrf2/HO-1 signal pathway.
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http://dx.doi.org/10.2147/DMSO.S208989DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6628146PMC
July 2019

Temporal trends analysis of tuberculosis morbidity in mainland China from 1997 to 2025 using a new SARIMA-NARNNX hybrid model.

BMJ Open 2019 07 31;9(7):e024409. Epub 2019 Jul 31.

Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan, China.

Objective: Tuberculosis (TB) remains a major deadly threat in mainland China. Early warning and advanced response systems play a central role in addressing such a wide-ranging threat. The purpose of this study is to establish a new hybrid model combining a seasonal autoregressive integrated moving average (SARIMA) model and a non-linear autoregressive neural network with exogenous input (NARNNX) model to understand the future epidemiological patterns of TB morbidity.

Methods: We develop a SARIMA-NARNNX hybrid model for forecasting future levels of TB incidence based on data containing 255 observations from January 1997 to March 2018 in mainland China, and the ultimate simulating and forecasting performances were compared with the basic SARIMA, non-linear autoregressive neural network (NARNN) and error-trend-seasonal (ETS) approaches, as well as the SARIMA-generalised regression neural network (GRNN) and SARIMA-NARNN hybrid techniques.

Results: In terms of the root mean square error, mean absolute error, mean error rate and mean absolute percentage error, the identified best-fitting SARIMA-NARNNX combined model with 17 hidden neurons and 4 feedback delays had smaller values in both in-sample simulating scheme and the out-of-sample forecasting scheme than the preferred single SARIMA(2,1,3)(0,1,1) model, a NARNN with 19 hidden neurons and 6 feedback delays and ETS(M,A,A), and the best-performing SARIMA-GRNN and SARIMA-NARNN models with 32 hidden neurons and 6 feedback delays. Every year, there was an obvious high-risk season for the notified TB cases in March and April. Importantly, the epidemic levels of TB from 2006 to 2017 trended slightly downward. According to the projection results from 2018 to 2025, TB incidence will continue to drop by 3.002% annually but will remain high.

Conclusions: The new SARIMA-NARNNX combined model visibly outperforms the other methods. This hybrid model should be used for forecasting the long-term epidemic patterns of TB, and it may serve as a beneficial and effective tool for controlling this disease.
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http://dx.doi.org/10.1136/bmjopen-2018-024409DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678063PMC
July 2019

Development and evaluation of a deep learning approach for modeling seasonality and trends in hand-foot-mouth disease incidence in mainland China.

Sci Rep 2019 05 29;9(1):8046. Epub 2019 May 29.

Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, P.R. China.

The high incidence, seasonal pattern and frequent outbreaks of hand, foot, and mouth disease (HFMD) represent a threat for millions of children in mainland China. And advanced response is being used to address this. Here, we aimed to model time series with a long short-term memory (LSTM) based on the HFMD notified data from June 2008 to June 2018 and the ultimate performance was compared with the autoregressive integrated moving average (ARIMA) and nonlinear auto-regressive neural network (NAR). The results indicated that the identified best-fitting LSTM with the better superiority, be it in modeling dataset or two robustness tests dataset, than the best-conducting NAR and seasonal ARIMA (SARIMA) methods in forecasting performances, including the minimum indices of root mean square error, mean absolute error and mean absolute percentage error. The epidemic trends of HFMD remained stable during the study period, but the reported cases were even at significantly high levels with a notable high-risk seasonality in summer, and the incident cases projected by the LSTM would still be fairly high with a slightly upward trend in the future. In this regard, the LSTM approach should be highlighted in forecasting the epidemics of HFMD, and therefore assisting decision makers in making efficient decisions derived from the early detection of the disease incidents.
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http://dx.doi.org/10.1038/s41598-019-44469-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6541597PMC
May 2019