89 research outputs found

    Identification and QTL Analysis of Flavonoids and Carotenoids in Tetraploid Roses Based on an Ultra-High-Density Genetic Map

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    Roses are highly valuable within the flower industry. The metabolites of anthocyanins, flavonols, and carotenoids in rose petals are not only responsible for the various visible petal colors but also important bioactive compounds that are important for human health. In this study, we performed a QTL analysis on pigment contents to locate major loci that determine the flower color traits. An F1 population of tetraploid roses segregating for flower color was used to construct an ultra-high-density genetic linkage map using whole-genome resequencing technology to detect genome-wide SNPs. Previously developed SSR and SNP markers were also utilized to increase the marker density. Thus, a total of 9,259 markers were mapped onto seven linkage groups (LGs). The final length of the integrated map was 1285.11 cM, with an average distance of 0.14 cM between adjacent markers. The contents of anthocyanins, flavonols and carotenoids of the population were assayed to enable QTL analysis. Across the 33 components, 46 QTLs were detected, explaining 11.85–47.72% of the phenotypic variation. The mapped QTLs were physically clustered and primarily distributed on four linkage groups, namely LG2, LG4, LG6, and LG7. These results improve the basis for flower color marker-assisted breeding of tetraploid roses and guide the development of rose products

    Clinical Characteristics of Inpatients With New-Onset Diabetes Mellitus in Eastern China: Based on Novel Clustering Analysis

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    IntroductionThis study aimed to explore the novel classification of inpatients with new-onset diabetes in Eastern China by the cluster-based classification method and compare the clinical characteristics among the different subgroups.MethodsA total of 1017 Inpatients with new-onset diabetes of five hospitals in Eastern China were included in the study. Clustering analysis was used to cluster the data into five subgroups according to six basic variables. The differences in clinical characteristics, treatments, and the prevalence of diabetes-related diseases among the five subgroups were analyzed by multiple groups comparisons and pairwise comparisons. The risk of diabetes-related diseases in the five subgroups was compared by calculating odd ratio (OR). P value < 0.05 was considered significant.ResultsFive subgroups were obtained by clustering analysis with the highest proportion of patients with severe insulin-deficient diabetes (SIDD) 451 (44.35%), followed by patients with mild age-related diabetes (MARD) 236 (23.21%), patients with mild obesity-related diabetes (MOD) 207 (20.35%), patients with severe insulin-resistant diabetes (SIRD) 81 (7.96%), and patients with severe autoimmune diabetes (SAID) 42 (4.13%). Five subtypes had their own unique characteristics and treatments. The prevalence and risk of diabetes-related complications and comorbidities were also significantly different among the five subtypes. Diabetic kidney disease (DKD) was the most common in SIRD group. Patients in SIDD, SIRD, and MARD groups were more likely to develop cardiovascular disease (CVD) and/or stroke, diabetic peripheral vascular disease (DPVD), and diabetic distal symmetric polyneuropathy (DSPN). The prevalence and risk of metabolic syndrome (MS) were the highest in MOD and SIRD groups. Patients in SAID group had the highest prevalence and risk of diabetic ketoacidosis (DKA). Patients with MOD were more likely to develop non-alcoholic fatty liver disease (NAFLD).ConclusionsThe inpatients with new-onset diabetes in Eastern China had the unique clustering distribution. The clinical characteristics, treatments, and diabetes-related complications and comorbidities of the five subgroups were different, which may provide the basis for precise treatments of diabetes

    Macrophage-Stimulated Cardiac Fibroblast Production of IL-6 Is Essential for TGF β/Smad Activation and Cardiac Fibrosis Induced by Angiotensin II

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    Interleukin-6 (IL-6) is an important cytokine participating in multiple biologic activities in immune regulation and inflammation. IL-6 has been associated with cardiovascular remodeling. However, the mechanism of IL-6 in hypertensive cardiac fibrosis is still unclear. Angiotensin II (Ang II) infusion in mice increased IL-6 expression in the heart. IL-6 knockout (IL-6-/-) reduced Ang II-induced cardiac fibrosis: 1) Masson trichrome staining showed that Ang II infusion significantly increased fibrotic areas of the wild-type mouse heart, which was greatly suppressed in IL-6-/- mice and 2) immunohistochemistry staining showed decreased expression of α-smooth muscle actin (α-SMA), transforming growth factor β1 (TGF-β1) and collagen I in IL-6-/- mouse heart. The baseline mRNA expression of IL-6 in cardiac fibroblasts was low and was absent in cardiomyocytes or macrophages; however, co-culture of cardiac fibroblasts with macrophages significantly increased IL-6 production and expression of α-SMA and collagen I in fibroblasts. Moreover, TGF-β1 expression and phosphorylation of TGF-β downstream signal Smad3 was stimulated by co-culture of macrophages with cardiac fibroblasts, while IL-6 neutralizing antibody decreased TGF-β1 expression and Smad3 phosphorylation in co-culture of macrophage and fibroblast. Taken together, our results indicate that macrophages stimulate cardiac fibroblasts to produce IL-6, which leads to TGF-β1 production and Smad3 phosphorylation in cardiac fibroblasts and thus stimulates cardiac fibrosis

    Safety Risk Assessment Using a BP Neural Network of High Cutting Slope Construction in High-Speed Railway

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    High-speed railway construction is extending to mountainous areas, and the harsh environment and complex climate pose various risks to the slope construction. This seriously threatens human lives and causes huge economic losses. The existing research results on the construction safety risks of high cutting slope construction in HSRs are limited, and a complete set of safety risk assessment processes and methods has not yet been formed. Therefore, in this study, we aimed to develop a safety risk assessment model, including factor identification and classification and assessment data processing, to help project managers evaluate safety risks in high cutting slope construction. In this study, comprehensive identification of high cutting slope construction safety risks was carried out from three dimensions, risk technical specification, literature analysis, and case statistical analysis, and a list of risk-influencing factors was formed. Based on the historical data, a high side slope risk evaluation model was established using a BP neural network algorithm. The model was applied to the risk evaluation of HF high cutting slopes. The results show that the risk evaluation level is II; the main risks are earthwork excavation method, scaffolding equipment, slope height, slope rate, groundwater, personnel safety awareness, and construction safety risk management system. Finally, a case study was used to verify the proposed model, and control measures for safety risks were proposed. Our findings will help conduct effective safety management, add to the knowledge of construction safety risk management in terms of implementation, and offer lessons and references for future construction safety management of HSR

    Safety Risk Assessment Using a BP Neural Network of High Cutting Slope Construction in High-Speed Railway

    No full text
    High-speed railway construction is extending to mountainous areas, and the harsh environment and complex climate pose various risks to the slope construction. This seriously threatens human lives and causes huge economic losses. The existing research results on the construction safety risks of high cutting slope construction in HSRs are limited, and a complete set of safety risk assessment processes and methods has not yet been formed. Therefore, in this study, we aimed to develop a safety risk assessment model, including factor identification and classification and assessment data processing, to help project managers evaluate safety risks in high cutting slope construction. In this study, comprehensive identification of high cutting slope construction safety risks was carried out from three dimensions, risk technical specification, literature analysis, and case statistical analysis, and a list of risk-influencing factors was formed. Based on the historical data, a high side slope risk evaluation model was established using a BP neural network algorithm. The model was applied to the risk evaluation of HF high cutting slopes. The results show that the risk evaluation level is II; the main risks are earthwork excavation method, scaffolding equipment, slope height, slope rate, groundwater, personnel safety awareness, and construction safety risk management system. Finally, a case study was used to verify the proposed model, and control measures for safety risks were proposed. Our findings will help conduct effective safety management, add to the knowledge of construction safety risk management in terms of implementation, and offer lessons and references for future construction safety management of HSR

    A Qualitative Investigation of Barriers and Facilitators Involved in the Implementation of Endowment Insurance in China’s Construction Industry

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    Given their occupation’s inherent income instability, the promotion of endowment insurance among construction workers is essential. This research reports the barriers and facilitators involved in promoting endowment insurance to construction workers, by contextualizing it in China. It adopts a qualitative research approach combining semi-structured interviews and thematic analysis. It is discovered that the barriers include (1) construction workers’ low willingness to participate in insurance, caused by the low level of awareness and understanding of the benefits of endowment insurance, low income, unstable employment situation, and lack of trust in the insurance system, (2) companies’ irresponsibility, caused by cost pressure, lack of policy support, uncertain legal responsibilities, and (3) governments’ incomplete management, caused by insufficient funding, complex administrative procedures, weak regulation, and regional differences. A series of facilitating measures are also proposed, including (1) increasing awareness and understanding of the benefits of endowment insurance, (2) adjusting the design of the endowment insurance scheme, and (3) strengthening legislation and enforcement. This study presents an analysis of the promotion practices of endowment insurance in China’s construction industry, which can provide policymakers with valuable references for optimizing the endowment insurance system. The findings can have significant implications for China and other developing countries that may face similar challenges in promoting social security programs in aging societies

    Repeated handling compromises the immune suppression and improves the disease resistance in overwintering channel catfish (Ictalurus punctatus)

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    In winter, fish have suppressed immune functions and are susceptible to bacteria or virus which may lead to a high mortality. It is necessary to improve the immune response and disease resistance for overwintering fish. A recent study suggested that repeated handling increased the innate immune mechanisms and disease resistance in Senegalese sole. Therefore, the present study tested the hypothesis that appropriate repeated handling could compromise the immune depression and increase the disease resistance in channel catfish over winter. The experiment was carried out in field cages from Nov. 2012 to April 2013. Before the experiment, 35 fish with an average weight of 188.4 g were randomly assigned to one of six cages (2 mx2mx 2 m). Three cages were designed as the control group and did not receive any interfere. Fish in the other three cages received a weekly repeated handling of an air exposure for 5 min. Fish were not fed over winter. At the end of the trial, fish were challenged with Aeromonas hydrophila at a dose of 5.6 x 10(8) CFU ml(-1). The results showed that final body weight was not changed between groups. The spleen somatic index increased while the head kidney somatic index decreased in the unhandled fish after bacterial challenge, but these indices were not significantly changed in the repeated handled fish. Plasma cortisol levels in the control fish were induced at 6 h post challenge and then declined to the normal levels. However, plasma cortisol levels in the repeated handled fish did not show any significant change after bacteria challenge. The reduced inducement of heat shock protein 70 (HSP70) expression by repeated handling was observed in fish post bacterial challenge. After overwintering, repeated handled fish exhibited increased catalase (CAT) activities and reduced malondialdehyde (MDA) contents. Plasma total antioxidant capacity (TAOC), CAT and superoxide dismutase (SOD) activities of channel catfish were enhanced by repeated handling post bacterial challenge. The enhanced up-regulation of Interleukin 8 (IL8), IL1 beta-a, IL1 beta-b together with the immune related genes of Toll-like receptor 2 (TLR2), TLR3, nucleotide-binding oligomerization domain 1 (NOD1) and NOD2 by repeated handling was found in catfish after bacterial challenge. The present results indicated that a combination of signaling pathways through TLRs and NODs was involved in the innate immune response of the overwintering repeated handled channel catfish against invading bacteria. (c) 2015 Elsevier Ltd. All rights reserved

    Risk Factors and Maternal and Neonatal Outcomes of Pregnant Women with Total Labor over 24 Hours

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    Background It is of great importance to standardize labor management for ensuring maternal and neonatal safety. Since the publication of the new stage of labor, the definition of prolonged labor has not been emphasized and it is recommended to minimize interventions during labor, therefore, the number of pregnant women with labor over 24 h is increased compared to the previous. Objective To analyze the risk factors and maternal and neonatal outcomes of pregnant women with labor over 24 h and discuss the labor management under the new stage of labor. Methods The clinical data of pregnant women received maternity examination and delivered at Department of Obstetrics, the First Affiliated Hospital with Nanjing Medical University from January to December 2022 were collected in the retrospective study. A total of 40 single birth pregnant women with normal fetal position and prolonged total labor (more than 24 h) were selected as the observational group, and 95 single birth pregnant women with normal fetal position and normal total labor (less than 24 h) were selected as the control group. The age, BMI, gestational age of delivery, gestational diabetes, gestational hypertension, neonatal body mass, labor condition, analgesic delivery rate and delivery intervention rate of the two groups were compared. Multivariate Logistic regression analysis was used to explore the risk factors for total labor over 24 h. The maternal and neonatal outcomes including intrapartum fever, amniotic fluid contamination, mediolateral episiotomy, vaginal instrumental delivery, cervical laceration, postpartum hemorrhage, manual removal of placenta, fetal distress, neonatal asphyxia and referral to neonatal intensive care unit (NICU) were compared to screen the risk factors and analyse the maternal and neonatal outcomes of pregnant women with labor over 24 h. Results There were no significant differences in age, BMI, gestational age of delivery, gestational hypertension, gestational diabetes mellitus and neonate body mass between the two groups (P>0.05). The first stage of labor, second stage of labor and total labor were longer and the rates of labor analgesia and labor intervention were higher in the observational group than the control group (P<0.05). Multivariate Logistic regression analysis showed that labor analgesia and intervention were not risk factor for total labor over 24 h (P>0.05). There were no significant differences in the incidence of postpartum hemorrhage, vaginal instrumental delivery and fetal distress between the two groups (P>0.05) ; the incidence of intrapartum fever, amniotic fluid contamination, mediolateral episiotomy, vaginal instrumental delivery, cervical laceration and referral to NICU in the observational group was higher than the control group (P<0.05) ; no neonatal asphyxia occurred in both groups. Conclusion The rates of labor analgesia and labor intervention were significantly increased in pregnant women with total labor over 24 h due to prolonged labor. Although prolonged labor does not increase the incidence of postpartum hemorrhage, manual removal of placenta and neonatal asphyxia, it increases the incidence of intrapartum fever, amniotic fluid contamination, mediolateral episiotomy, vaginal instrumental delivery, cervical laceration and fetal distress. Obstetricians and gynecologists should pay attention to the adverse maternal and neonatal outcomes caused by prolonged labor and individualized management of labor
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