Micronucleus counts correlating with male infertility: a clinical analysis of chromosomal abnormalities and reproductive parameters.

Investigating the correlation between micronucleus formation and male infertility has the potential to improve clinical diagnosis and deepen our understanding of pathological progression. Our study enrolled 2252 male patients whose semen was analyzed from March 2023 to July 2023. Their clinical data, including semen parameters and age, were also collected.

Response of Yields, Soil Physiochemical Characteristics, and the Rhizosphere Microbiome to the Occurrence of Root Rot Caused by in Hort.

Hort. is considered an important medicinal herb with extremely high economic value and medicinal value due to its various effects, including anti-oxidation, sedative action, hepatoprotection, and invigorating blood circulation. However, cultivation is hampered by various plant diseases, especially the root rot caused by , hindering the sustainable development of the industry.

Engineering Thermoresponsive Enzyme-Polymer Conjugates via Glycan-Selective Polymerization for Recyclable Homogeneous Biocatalysis.

Enzymes are crucial for various technological applications, but their inherent instability and short lifespan pose challenges. This study presents facile immobilized enzyme technology with the development of thermoresponsive enzyme-polymer conjugates (EPCs), using glucose oxidase (GOx) as a model enzyme, to address these limitations. By conjugating heteropolymers to the glycan moieties of GOx through a precise polymerization process, we could modulate the lower critical solution temperature of the EPCs, enhancing enzyme performance without compromising its active site.

Long-term annual mapping and spatial-temporal dynamic analysis of winter wheat in Shandong Province based on spatial-temporal data fusion (2000-2022).

Winter wheat, as one of the world's key staple crops, plays a crucial role in ensuring food security and shaping international food trade policies. However, there has been a relative scarcity of high-resolution, long time-series winter wheat maps over the past few decades. This study utilized Landsat and Sentinel-2 data to produce maps depicting winter wheat distribution in Google Earth Engine (GEE).

Comparative Metagenomic Analysis Reveals Rhizosphere Microbiome Assembly and Functional Adaptation Changes Caused by Clubroot Disease in Chinese Cabbage.

Clubroot is a major disease and severe threat to Chinese cabbage, and it is caused by the pathogen Woron. This pathogen is an obligate biotrophic protist and can persist in soil in the form of resting spores for more than 18 years, which can easily be transmitted through a number of agents, resulting in significant economic losses to global Chinese cabbage production. Rhizosphere microbiomes play fundamental roles in the occurrence and development of plant diseases.

TurboID-mediated proximity labeling technologies to identify virus co-receptors.

Virus receptors determine the tissue tropism of viruses and have a certain relationship with the clinical outcomes caused by viral infection, which is of great importance for the identification of virus receptors to understand the infection mechanism of viruses and to develop entry inhibitor. Proximity labeling (PL) is a new technique for studying protein-protein interactions, but it has not yet been applied to the identification of virus receptors or co-receptors. Here, we attempt to identify co-receptor of SARS-CoV-2 by employing TurboID-catalyzed PL.

Novel f-CaO soft sensor for cement clinker based on integrated model of dual-parallel structure.

Aiming at the problem that the cement production process is inherently affected by uncertainty, time delay, and strong coupling among variables, this paper proposed a novel soft sensor of free calcium oxide in a cement clinker. The model utilizes a dual-parallel integrated structure with an optimized integration of one-dimensional convolutional neural networks, long and short-term memory networks, graphical neural networks, and extreme gradient boosting. The proposed model can mitigate the risks associated with overfitting while incorporating the strengths of each individual model and excels in extracting both local and global features as well as temporal and spatial characteristics from the original time series data, ensuring its stability.

Saracatinib prompts hemin-induced K562 erythroid differentiation but suppresses erythropoiesis of hematopoietic stem cells.

Human myeloid leukemia cells (such as K562) could be used for the study of erythropoiesis, and mature erythroid markers and globins could be induced during leukemia cell differentiation; however, the pathways involved are different compared with those of hematopoietic stem cells (HSCs).We identified the differentially expressed genes (DEGs) of K562 cells and HSCs associated with stem cells and erythroid differentiation. Furthermore, we showed that hemin-induced differentiation of K562 cells could be induced by serum starvation or treatment with the tyrosine kinase inhibitor saracatinib.

Similarity of Chinese and Pakistani oral microbiome.

Oral microbiota is vital for human health and can be affected by various factors (i.e. diets, ethnicity).

correction of various β-thalassemia mutations in human hematopoietic stem cells.

β-thalassemia (β-thal) is the most common monogenic disorder caused by various mutations in the human hemoglobin β (HBB) gene and affecting millions of people worldwide. Electroporation of Cas9 and single-guide RNA (sgRNA)-ribonucleoprotein (RNP) complex-mediated gene targeting in patient-derived hematopoietic stem cells (HSCs), followed by autologous transplantation, holds the promise to cure patients lacking a compatible bone marrow donor. In this study, a universal gene correction method was devised to achieve correction of most types of mutations by using validated CRISPR/sgRNA-RNP complexes and recombinant adeno-associated viral 6 (rAAV6) donor-mediated homology-directed repair (HDR) in HSCs.

Prenatal diagnosis of dent disease type I with a nonsense pathogenic variant in CLCN5: a case study.

Introduction: Dent disease type I is a rare X-linked recessive renal tubular disease resulting from pathogenic variants in the CLCN5 gene. Due to the rarity of Dent disease type I and the diversity of its phenotypes, its clinical diagnosis is complex and poses a challenge to clinicians.

Methods: A foetus and a child from a 36-year-old pregnant woman with a birth history of abnormal children were enrolled in this study.

Tissue-specific populations from amniotic fluid-derived mesenchymal stem cells manifest variant in vitro and in vivo properties.

Amniotic fluid derived mesenchymal stem cells (AFMSCs), shed along the fetal development, exhibit superior multipotency and immunomodulatory properties compared to MSCs derived from other somatic tissues (e.g., bone marrow and fat).

Bibliometric analysis of papers on antibiotic resistance genes in aquatic environments on a global scale from 2012 to 2022: Evidence from universality, development and harmfulness.

Antibiotic resistance genes (ARGs), emerging pollutants, are widely distributed in aquatic environments, and are tightly linked to human health. However, the research progress and trends in recent years on ARGs of aquatic environments are still unclear. This paper made a comprehensive understanding of the research advance, study trends and key topics of 1592 ARGs articles from 2012 to 2022 by bibliometrics.

EAPR: explainable and augmented patient representation learning for disease prediction.

Patient representation learning aims to encode meaningful information about the patient's Electronic Health Records (EHR) in the form of a mathematical representation. Recent advances in deep learning have empowered Patient representation learning methods with greater representational power, allowing the learned representations to significantly improve the performance of disease prediction models. However, the inherent shortcomings of deep learning models, such as the need for massive amounts of labeled data and inexplicability, limit the performance of deep learning-based Patient representation learning methods to further improvements.

Establishment of human-induced pluripotent stem cell GZHMCi0011-A from peripheral blood mononuclear cells from a volunteer with 14/63 CAG repeats of the ATXN3 mutation.

Spinocerebellar ataxia type 3 (SCA3) is a genetic degeneration disease of the nervous system with ataxia as the main clinical manifestation, and the most frequent subtype of SCA3 is known to be caused by CAG repeat expansions of more than 55 units in ATXN3. In this study, we used peripheral blood mononuclear cells (PBMCs) from a volunteer with 14/63 CAG repeats in ATXN3 to generate induced pluripotent stem cells (iPSCs), which will be a good model for studying SCA3.

Multi-Granularity Graph Convolution Network for Major Depressive Disorder Recognition.

Major depressive disorder (MDD) is the most common psychological disease. To improve the recognition accuracy of MDD, more and more machine learning methods have been proposed to mining EEG features, i.e.

External validation of the FAMISH predicting score for early gastric cancer with endoscopic submucosal dissection.

Objective: To externally validate the robustness of the FAMISH predicting score designed to estimate the risk of metachronous gastric lesions (MGLs) after endoscopic submucosal dissection (ESD) for early gastric cancer (EGC).

Methods: This multicenter, retrospective study included 618 patients with EGC who underwent curative ESD at two tertiary referral teaching hospitals between January 2014 and December 2019. FAMISH score was a composite indicator of age, sex, family history, corpus intestinal metaplasia, synchronous lesions, and H.

Trends in research on dietary behavior and cardiovascular disease from 2002 to 2022: a bibliometric analysis.

Background: Dietary behaviors and cardiovascular disease are two major health issues that have attracted a lot of attention from researchers worldwide. In this study, we aimed to provide a comprehensive analysis of the publication trends, authorship patterns, institutional affiliations, country/region contributions, journal outlets, highly cited documents, and keyword clusters in the field of dietary behaviors and cardiovascular disease research over the past two decades.

Methods: We conducted a systematic literature review of peer-reviewed articles published from 2002 to 2022 in the Web of Science Core Collection database.

LSM2 is associated with a poor prognosis and promotes cell proliferation, migration, and invasion in skin cutaneous melanoma.

Background: Skin cutaneous melanoma (SKCM) is an extremely malignant tumor that is associated with a poor prognosis. LSM2 has been found to be related to different types of tumors; however, its role in SKCM is poorly defined. We aimed to determine the value of LSM2 as a prognostic biomarker for SKCM.

Mammalian carcass decay increases carbon storage and temporal turnover of carbon-fixing microbes in alpine meadow soil.

Corpse decomposition is of great significance to the carbon cycle of natural ecosystem. Carbon fixation is a carbon conversion process that converts carbon dioxide into organic carbon, which greatly contributes to carbon emission reduction. However, the effects of wild animal carcass decay on carbon-fixing microbes in grassland soil environment are still unknown.