Publications by authors named "Wenqi Lou"

Hematological parameters refer to the assessment of changes in the number and distribution of blood cells, including leukocytes (LES), erythrocytes (ERS), and platelets (PLS), which are essential for the early diagnosis of hematological system disorders and other systemic diseases in livestock. In this context, the primary objectives of this study were to investigate the genomic background of 19 hematological parameters in Holstein cattle, focusing on LES, ERS, and PLS blood components. Genetic and phenotypic (co)variances of hematological parameters were calculated based on the average information restricted maximum likelihood method and 1,610 genotyped individuals and 5,499 hematological parameter records from 4,543 cows.

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Background: Nitrate leaching to groundwater and surface water and ammonia volatilization from dairy farms have negative impacts on the environment. Meanwhile, the increasing demand for dairy products will result in more pollution if N losses are not controlled. Therefore, a more efficient, and environmentally friendly production system is needed, in which nitrogen use efficiency (NUE) of dairy cows plays a key role.

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The main objectives of this study were to estimate genetic parameters for milk urea nitrogen (MUN) in Holstein cattle and to conduct a single-step (ss)GWAS to identify candidate genes associated with MUN. Phenotypic measurements from 24,435 Holstein cows were collected from March 2013 to July 2019 in 9 dairy farms located in the Beijing area, China. A total of 2,029 cows were genotyped using the Illumina 150K Bovine Bead Chip, containing 121,188 SNP.

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Molecular responses to heat stress are multifaceted and under a complex cellular post-transcriptional control. This study explores the epigenetic and transcriptional alterations induced by heat stress (42 °C for 120 min) in the liver of rats, by integrating ATAC-seq, RNA-Seq, and WGBS information. Out of 2586 differential ATAC-seq peaks induced by heat stress, 36 up-regulated and 22 down-regulated transcript factors (TFs) are predicted, such as Cebpα, Foxa2, Foxo4, Nfya and Sp3.

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Article Synopsis
  • High mortality rates and culling in dairy cattle lead to significant economic losses, yet there is limited focus on wellness traits in replacement animals during breeding programs.
  • This study aimed to estimate the genetic parameters of wellness traits in replacement dairy cattle, analyzing traits such as birth weight, survival rates, and health conditions using data from nearly 190,000 Holstein cattle.
  • The findings revealed that most genetic correlations among wellness traits were negligible, with low correlations found between these traits and cow longevity and health traits, suggesting a potential need for breeding programs to incorporate wellness traits more effectively.
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Design of novel nanoplatforms with single imaging elements for dynamic and enhanced / -weighted magnetic resonance (MR) imaging of diseases still remains significantly challenging. Here, a facile strategy to synthesize light-addressable ultrasmall FeO nanoparticles (NPs) that can form nanoclusters (NCs) under laser irradiation for enhanced and dynamic / -weighted MR imaging of inflammatory arthritis is reported. Citric acid-stabilized ultrasmall FeO NPs synthesized via a solvothermal approach are linked with both the arthritis targeting ligand folic acid (FA) and light-addressable unit diazirine (DA) via polyethylene glycol (PEG) spacer.

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Synopsis of recent research by authors named "Wenqi Lou"

  • - Wenqi Lou's research focuses on the genetic and epigenetic factors influencing livestock health and productivity, particularly in Holstein cattle, examining traits such as hematological parameters and nitrogen use efficiency.
  • - Notable studies include genomic analyses for milk urea nitrogen and the identification of candidate genes related to cow wellness and longevity, indicating the integration of genetic data into dairy farming practices for improved livestock management.
  • - Lou also explores environmental impacts of dairy farming, addressing issues like nitrogen loss, while leveraging advanced genomic technologies and methodologies to enhance our understanding of livestock response to stressors such as heat.