Assessment of selective breeding effects and selection signatures in Qingyuan partridge chicken and its strains.

Qingyuan partridge chicken (QYM) is a highly regarded native breed in China, highly esteemed for its exceptional breeding characteristics. However, the investigation into the selection signatures and its strains remains largely unexplored. In this study, blood sampling, DNA extracting, and high-depth resequencing were performed in 27 QYMs. Integrating the genomic data of 14 chicken (70 individuals) breeds from other researches, to analyze the genetic structure, selection signatures, and effects of selective breeding within QYM and its 3 strains (QYMA, QYMB, and QYMC). Population structure analysis revealed an independent QYM cluster, which exhibited distinct from other breeds, with each of its 3 strains displaying distinct clustering patterns. Linkage disequilibrium analysis highlighted QYMB's notably slower decay rate, potentially influenced by selection pressure from various production indicators. Examination of selection signatures uncovered genes and genetic mechanisms associated with genomic changes resulting from extensive selective breeding within the QYM and its strains. Intriguingly, diacylglycerol kinase beta (DGKB) and catenin alpha 2 (CTNNA2) were identified as commonly selected genes across the 3 QYM strains, linked to energy metabolism, muscle development, and fat metabolism. Our research validates the substantial impact of selective breeding on QYM and its strains, concurrently identifying genomic regions and signaling pathways associated with their distinctive characters. This research also establishes a fundamental framework for advancing yellow-feathered broiler breeding strategies.

A new proposal for phenotypic classification and outcome assessment of dermatomyositis based on clinical manifestations and serological testing.

BACKGROUND: Dermatomyositis (DM) is an infrequent disease subgroup of idiopathic inflammatory myopathies characterized by distinct skin lesions. However, high heterogeneity makes clinical diagnosis and treatment of DM very challenging. OBJECTIVES: Unsupervised classification in DM patients and analysis of key factors related to clinical outcomes. METHODS: This retrospective study was conducted between 2017 and 2022 at the Department of Rheumatology, Xiangya Hospital, Central South University. 162 DM patients were enrolled for unsupervised hierarchical cluster analysis. In addition, we divided the clinical outcomes of DM patients into four subgroups: withdrawal, stabilization, aggravation, and death, and compared the clinical profiles amongst the subgroups. RESULTS: Out of 162 DM patients, three clusters were defined. Cluster 1 (n = 40) was mainly grouped by patients with prominent muscular involvement and mild Interstitial Lung Disease (ILD). Cluster 2 (n = 72) grouped patients with skin rash, anti-Melanoma Differentiation Associated protein 5 positive (anti-MDA5+), and Rapid Progressive Interstitial Lung Disease (RP-ILD). Cluster 3 (n = 50) grouped patients with the mildest symptoms. The proportion of death increased across the three clusters (cluster 3 < cluster 1 < cluster 2). STUDY LIMITATIONS: The number of cases was limited for the subsequent construction and validation of predictive models. We did not review all skin symptoms or pathological changes in detail. CONCLUSIONS: We reclassified DM into three clusters with different risks for poor outcome based on diverse clinical profiles. Clinical serological testing and cluster analysis are necessary to help clinicians evaluate patients during follow-up and conduct phenotype-based personalized care in DM.

Development of an Intratumoral and Peritumoral Radiomics Nomogram Using Digital Breast Tomosynthesis for Preoperative Assessment of Lymphovascular Invasion in Invasive Breast Cancer.

RATIONALE AND OBJECTIVES: This study aimed to create a nomogram model that combines clinical factors with radiomics analysis of both intra- and peritumoral regions extracted from preoperative digital breast tomosynthesis (DBT) images, in order to develop a reliable method for predicting the lymphovascular invasion (LVI) status in invasive breast cancer (IBC) patients. MATERIALS AND METHODS: A total of 178 patients were randomly split into a training dataset (N = 124) and a validation dataset (N = 54). Comprehensive clinical data, encompassing DBT features, were gathered for all cases. Radiomics features were extracted and selected from intra- and peritumoral region to establish radiomics signature (Radscore). To construct the clinical model and nomogram model, univariate and multivariate logistic regression analyses were utilized to identify independent risk factors. To assess and validate these models, various analytical methods were employed, including receiver operating characteristic (ROC) curve analysis, calibration curve analysis, decision curve analysis (DCA), net reclassification improvement (NRI), and integrated discriminatory improvement (IDI). RESULTS: The clinical model is constructed based on two independent risk factors: tumor margin and the DBT-reported lymph node metastasis (DBT_reported_LNM). Incorporating Radscore_Combine (utilizing both intra- and peritumoral radiomics features), tumor margin, and DBT_reported_LNM into the nomogram achieved a reliable predictive performance, with area under the curve (AUC) values of 0.906 and 0.905 in both datasets, respectively. The significant improvement demonstrated by the NRI and IDI indicates that the Radscore_Combine could be a valuable biomarker for effectively predicting the status of LVI. CONCLUSION: The nomogram demonstrated a reliable ability to predict LVI in IBC patients.

How digital health technologies promote healthy life in the Post-COVID-19 Era: evidences from national survey on Chinese adolescents and youngsters.

The rapid development of intelligent technologies coupled with the stay-at-home trends in the Post-COVID-19 Era has significantly changed youth's health behavior as well as reshaped their lifestyles. Digital health technologies (DHTs) have been more and more used for health management among youngsters. However, little was known about the use of DHTs among youths and its consequences on their health, especially in developing countries like China. Inspired by behavior intervention technology (BIT) model, this study examined the underlying mechanisms of use and social interactions of DHTs on Chinese adolescents' and youngsters' healthy lifestyles and mental health, using a representatively national survey among high school and freshman students in China (N = 2,297). It found that use of DHTs had a significantly positive effect on Chinese youths' healthy lifestyles and mental health, with behavioral regulation as a mediator. However, social interactions of DHTs were negatively associated with their mental health. The findings contribute to a better guidance on health promotion, as well as the enhanced design of DHTs' products.

Modernizing persistence-bioaccumulation-toxicity (PBT) assessment with high throughput animal-free methods.

The assessment of persistence (P), bioaccumulation (B), and toxicity (T) of a chemical is a crucial first step at ensuring chemical safety and is a cornerstone of the European Union's chemicals regulation REACH (Registration, Evaluation, Authorization, and Restriction of Chemicals). Existing methods for PBT assessment are overly complex and cumbersome, have produced incorrect conclusions, and rely heavily on animal-intensive testing. We explore how new-approach methodologies (NAMs) can overcome the limitations of current PBT assessment. We propose two innovative hazard indicators, termed cumulative toxicity equivalents (CTE) and persistent toxicity equivalents (PTE). Together they are intended to replace existing PBT indicators and can also accommodate the emerging concept of PMT (where M stands for mobility). The proposed "toxicity equivalents" can be measured with high throughput in vitro bioassays. CTE refers to the toxic effects measured directly in any given sample, including single chemicals, substitution products, or mixtures. PTE is the equivalent measure of cumulative toxicity equivalents measured after simulated environmental degradation of the sample. With an appropriate panel of animal-free or alternative in vitro bioassays, CTE and PTE comprise key environmental and human health hazard indicators. CTE and PTE do not require analytical identification of transformation products and mixture components but instead prompt two key questions: is the chemical or mixture toxic, and is this toxicity persistent or can it be attenuated by environmental degradation? Taken together, the proposed hazard indicators CTE and PTE have the potential to integrate P, B/M and T assessment into one high-throughput experimental workflow that sidesteps the need for analytical measurements and will support the Chemicals Strategy for Sustainability of the European Union.

Temporal-spatial pattern and driving factors of cultivated land use transition at country level in Shaanxi province, China.

The county-level Cultivated Land Use Form index (CLUF) in Shaanxi province in 2000, 2005, 2010, and 2015 was measured with the entropy method and the linear combination method. Then, the spatial differentiation characteristics and driving mechanism of CLUF were characterized and identified through exploratory spatial data analysis, standard deviation ellipse model, kernel density estimation, multiple linear, and spatial regression analysis. The conclusions drawn from empirical results were as follows. First, the CLUF presented a spatial differentiation pattern of high in the middle and low in the north and south, and the CLUF had a strong positive spatial correlation. The local spatial patterns were mainly the high-high agglomeration and low-low agglomeration. Second, the gravity center of CLUF moves from northeast to southwest, but it is always located in the central part of Shaanxi province. The CLUF showed a trend from expansion and decentralization to contraction and centralization in geographical space, with an obvious spatial spillover effect. Third, the results of nuclear density estimation showed that the difference in the CLUF between counties displayed a trend of first shrinking and then expanding. Fourth, the cultivated land use transition was promoted by the combination of the natural environment, economic growth, and urbanization development, and factors of the driving mechanism of the cultivated land use transition are complicated. Finally, policy recommendations to promote the rationalization and cultivated land use transition were put forward, such as strengthening infrastructure construction, formulating differentiated policies, and giving play to the role of neighboring demonstrations.

Socioeconomic status, ambidextrous learning, and farmers' adoption of biological control technology: evidence from 650 kiwifruit growers in China.

BACKGROUND: Rural China is characterized as having different rates of economic growth. The resource and socioeconomic statuses of farm households greatly affect their productivity and the activities they engage in. The main objective in this study was to explore the mechanisms concerning how socioeconomic status of kiwifruit growers affects their adoption of biological control technology (BCT). To achieve this objective, field survey data from 650 kiwifruit farmers in specific kiwifruit growing areas of Shaanxi and Sichuan provinces in China were investigated. The binary probit model and Bootstrap dual mediated utility models served to assess socioeconomic status's effect on farmers' BCT adoption. RESULTS: This study discovered a significant positive correlation between socioeconomic status and the adoption rate of biological control technology. Farmers of various socioeconomic status have significant differences in the rate of BCT adoption. This study's empirical analysis found that exploratory learning and exploitative learning under dual learning had a significant mediating effect on farmers' socioeconomic status when it came to BCT acceptance. CONCLUSION: Results show that the rate of BCT adoption is related to farmers' socioeconomic status and dual learning mode, which provides new insights for understanding how farmers implement new technology. This study will help agricultural extension departments increase their awareness of BCT adoption by farmers, and the development of diverse learning approaches in response to differences in socioeconomic status of farmers may significantly increase their likelihood to implement BCT. © 2021 Society of Chemical Industry.

Measurement and spatial convergence analysis of China's agricultural green development index.

Based on the comprehensive evaluation system of agricultural green development index (AGDI), this paper uses entropy weight method and linear weighted sum method to measure the agricultural green development level of 31 provinces in China from 2013 to 2018. We then incorporate spatial correlation into the traditional convergence test model, study the spatial convergence of AGDI, and explore the reasons for regional differences in AGDI. The results show that the level of AGDI in China showed an overall growth trend during the sample survey period, but there were significant differences in the rate of AGDI among different regions, mainly manifested as "eastern > western > central." The AGDI shows a significant positive spatial correlation on the whole, and its overall spatial distribution is characterized by high-high agglomeration and low-low agglomeration. The provinces with higher and lower level of AGDI still maintain the original relatively concentrated distribution in geographical space. On this basis, the study examines the regional differences of AGDI and its evolution by Dagum Gini coefficient decomposition and spatial convergence. The results showed that the overall difference of AGDI showed a fluctuating downward trend. The intra-regional difference of AGDI in the western region was the largest, and that in the eastern region was the smallest. The contribution rate of intensity of transvariation among regions was the main source of the relative difference of AGDI. Meanwhile, the AGDI of the overall, eastern, central, and western regions present significant σ convergence and conditional ß convergence. Except for the central region, the overall, eastern, and western regions present significant absolute ß convergence. The low-level areas of AGDI have significant "catch-up effect" on the areas with high-level AGDI. Based on the above results, this paper also puts forward some policy suggestions from the perspective of cross-regional collaborative governance to improve China's agricultural green development mode and narrow the regional differences of China's agricultural green development.

Bioelectrochemical removal of tetracycline from four typical soils in China: A performance assessment.

Exposure to tetracycline in soil causes microbial mutations. Soil microbial fuel cells (MFCs) can promote the degradation efficiency of contaminants while generating bioelectricity under anaerobic conditions. MFC performance varies amongst different types of soils due to distinctive soil properties. This study assesses the performance of soil MFCs filled with four typical Chinese soils and explores key factors regulating bioelectricity generation and tetracycline degradation. Except for the MFCs filled with black soil, tetracycline degradation rates improved in soil MFCs, particularly in those filled with Chao soil, which enhanced the degradation rate by 39% relative to the corresponding control. Additionally, soil MFCs filled with Chao soil exhibited the highest charge output of 1347 ±â€¯357C, which was 100-499% higher than that of MFCs with other soils. According to redundancy analysis, soil particle size, pH, conductivity and dissolved organic carbon content showed positive association with tetracycline degradation and charge output, while the adsorption of tetracycline had a negative association with degradation rate. Thus, the adsorption of tetracycline restricted its removal efficiency in soil MFCs, and high soil conductivity and large particle size promoted electron transfer, enhancing biocurrent intensity, which increased tetracycline degradation efficiency.

Analysis of macrobenthic assemblages and ecological health of Yellow River Delta, China, using AMBI & M-AMBI assessment method.

Yellow River delta (YRD) is a typical example of a valuable coastal ecosystem that is under increasing anthropogenic threat in China. To understand the current health status of this region, three surveys in 2011 for the abiotic conditions and macrobenthic assemblages were performed. The concentration of trace metals were relatively low in the sediment at all sampling stations representing a good sediment quality. A total of 159 macrobenthic species were identified during the three surveys. ABC curves showed that the macrobenthic fauna at 8 sampling stations suffered disturbances from human activities. M-AMBI index indicates that the benthic ecological quality of YRD is currently still not in a good condition. Five trace metals, water temperature and depth were the main environmental variables affecting the distribution pattern of macrobenthic assemblages. Community succession has occurred over the past 60years, as evidenced by changes of species composition, key species, distribution pattern and range.

Single-step affinity and cost-effective purification of recombinant proteins using the Sepharose-binding lectin-tag from the mushroom Laetiporus sulphureus as fusion partner.

Previous research showed that a lectin from the mushroom Laetiporus sulphureus, designed LSL, bound to Sepharose and could be eluted by lactose. In this study, by taking advantage of the strong affinity of LSL-tag for Sepharose, we developed a single-step purification method for LSL-tagged fusion proteins. We utilized unmodified Sepharose-4B as a specific adsorbent and 0.2 M lactose solution as an elution buffer. Fusion proteins of LSL-tag and porcine circovirus capsid protein, designated LSL-Cap was recovered with purity of 90 ± 4%, and yield of 87 ± 3% from crude extract of recombinant Escherichia coli. To enable the remove of LSL-tag, tobacco etch virus (TEV) protease recognition sequence was placed downstream of LSL-tag in the expression vector, and LSL-tagged TEV protease, designated LSL-TEV, was also expressed in E. coli., and was recovered with purity of 82 ± 5%, and yield of 85 ± 2% from crude extract of recombinant E. coli. After digestion of LSL-tagged recombinant proteins with LSL-TEV, the LSL tag and LSL-TEV can be easily removed by passing the digested products through the Sepharose column. It is of worthy noting that the Sepharose can be reused after washing with PBS. The LSL affinity purification method enables rapid and inexpensive purification of LSL-tagged fusion proteins and scale-up production of native proteins.

Is syndromic management better than the current approach for treatment of STDs in China? Evaluation of the cost-effectiveness of syndromic management for male STD patients.

BACKGROUND: The syndromic treatment approach has not been evaluated in sexually transmitted disease (STD) clinics in China. GOAL: The goal was to evaluate and compare the validity and cost-effectiveness of syndromic management with current STD management for men in clinics in Hefei, China. STUDY DESIGN: Diagnostic accuracy, treatment appropriateness, costs, and effectiveness of current clinical procedures and syndromic management were compared for 406 men attending four STD clinics. RESULTS: A modified World Health Organization (WHO) syndromic algorithm for urethral discharge yielded 100% sensitivity and a 69% positive predictive value (PPV). A syndromic algorithm for genital ulcers correctly treated all syphilis patients, with a 25% PPV. The average cost (in US dollars) per correct treatment by the current approach was 323.48 dollars for urethritis and 85.65 dollars for syphilis. For the syndromic approach, the average cost per correct treatment was 3.15 dollars for urethritis and 13.54 dollars for syphilis. CONCLUSION: Syndromic management can provide better treatment for men with STDs at significantly lower cost in resource-poor settings such as China.