Publications by authors named "Zhen Kang"

High-yield biosynthesis of hyaluronan (HA) with controllable molecular weights (MWs) remains challenging due to the poorly understood function of Class I HA synthase (HAS) and the metabolic imbalance between HA biosynthesis and cellular growth. Here, we systematically characterize HAS to identify crucial regions involved in HA polymerization, secretion, and MW control. We construct HAS mutants that achieve complete HA secretion and expand the MW range from 300 to 1400 kDa.

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Purpose: To explore the related mechanisms of electroacupuncture at the "Siguan" acupoints in treating post-stroke depression (PSD).

Methods: Fifty male SD rats were randomly divided into the blank group, stroke group, PSD group, Siguan group and Bifidobacterium group, with 10 rats in each group. The Siguan group was given electroacupuncture at the bilateral "Hegu" (LI4) and "Taichong" (LR3), using the disperse-dense wave with a frequency of 2Hz/10Hz for 30 minutes each time.

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Objective: To observe the effects of (regulating the hinge and calming the mind) acupuncture on sleep quality and serum levels of 5-hydroxytryptamine (5-HT) and dopamine (DA) in patients with chronic insomnia.

Methods: A total of 58 patients with chronic insomnia were randomly divided into an acupuncture group and a medication group, 29 cases in each group. acupuncture was applied at Baihui (GV20) and bilateral Shenmen (HT7), Sanyinjiao (SP6), Benshen (GB13) in the acupuncture group, once a day, 1-day interval was taken after 6 consecutive days of treatment.

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Introduction: Accurate identification and grading of clinically significant prostate cancer (csPCa, Gleason Score ≥ 7) without invasive procedures remains a significant clinical challenge. This study aims to develop and evaluate a two-stage model designed for precise Gleason grading. The model initially uses radiomics-based multiparametric MRI to identify csPCa and then refines the Gleason grading by integrating clinical indicators and radiomics features.

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Article Synopsis
  • - UV radiation leads to increased production of reactive oxygen species (ROS) in human lens epithelial cells (HLECs), causing oxidative damage and cell death, which can contribute to cataract formation.
  • - The Nrf2-Keap1 pathway is a key mechanism in protecting against oxidative stress, and ferulic acid (FA) can activate this pathway to reduce oxidative damage and apoptosis in HLECs.
  • - In experiments, ferulic acid demonstrated the ability to lower oxidative stress and cell death caused by UVA exposure, supporting its potential as a protective agent against cataract development through modulation of the Nrf2 signaling pathway.
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Purpose: The relationship between women's reproductive traits and depression (PPD) has not been clarified. We reveal the association between genetically predicted modifiable women's reproductive traits and PPD using two-sample Mendelian randomization (MR).

Methods: We used genome-wide association studies (GWASs) to obtain instrumental variables (IVs) of 9 women's reproductive traits.

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Background: Disulfidptosis refers to cell death caused by the accumulation and bonding of disulfide in the cytoskeleton protein of SLC7A11-high level cells under glucose deprivation. However, the role of disulfidptosis-related genes (DRGs) in prostate cancer (PCa) classification and regulation of the tumor microenvironment remains unclear.

Methods: Firstly, we analyzed the expression and mutation landscape of DRGs in PCa.

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Introduction: This study aims to explore the role of cuproptosis-related genes in ACC, utilizing data from TCGA and GEO repositories, and to develop a predictive model for patient stratification.

Methods: A cohort of 123 ACC patients with survival data was analyzed. RNA-seq data of 17 CRGs were examined, and univariate Cox regression identified prognostic CRGs.

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Tyrosinase is a copper-containing polyphenol oxidase widely applied in the food, cosmetics, pharmaceutical, and other industries. Currently, the production of commercial tyrosinase primarily relies on extraction from fungi, which has high costs, low purity, low specific activity, and poor stability. The objective of this study is to obtain highly expressed bacterial tyrosinase with potential for industrial applications.

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Heparin lyase III has garnered widespread attention due to its high specificity and minimal loss of anticoagulant activity during the preparation of low molecular weight heparin (LMWH), a crucial anticoagulant drug in clinical practice. However, low expression levels and complex preparation processes limit its practical application. To address these challenges, high-performance Bacteroides thetaiotaomicron heparin lyase III (Bhep III) variants were engineered and immobilized for LMWH preparation.

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As a fundamental tool in synthetic biology, promoters are pivotal in regulating gene expression, enabling precise genetic control and spurring innovation across diverse biotechnological applications. However, most advances in engineered genetic systems rely on host-specific regulation of the genetic portion. With the burgeoning diversity of synthetic biology chassis cells, there emerges a pressing necessity to broaden the universal promoter toolkit spectrum, ensuring adaptability across various microbial chassis cells for enhanced applicability and customization in the evolving landscape of synthetic biology.

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Defect detection is critical to industrial quality control in leather production engineering. The various sizes and locations of defects in leather, as well as significant differences within the same class and indistinctive variations between different classes of defects, contribute to the complexity of the problem. To address this challenge, we propose a Multi-Layer Residual Convolutional Attention (MLRCA) approach.

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Neuroinflammatory responses play an important role in the pathogenesis of various diseases, particularly those affecting the central nervous system. Inhibition of neuroinflammation is a crucial therapeutic strategy for the management of central nervous system disorders. The intestinal microbial-gut-brain axis serves as a key regulatory pathway that modulates neuroinflammatory processes.

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Article Synopsis
  • The study investigates the potential of clinical-imaging metrics to diagnose prostate cancer (PCa) and clinically significant prostate cancer (csPCa) in lesions categorized as PI-RADS 3.
  • A retrospective analysis of 202 patients was conducted, measuring various imaging metrics and identifying T2-weighted imaging signal intensity (T2WISI) and apparent diffusion coefficient (ADC) as independent risk factors for diagnosing PCa and csPCa.
  • The findings suggest that T2WISI and ADC metrics are valuable tools for improving the diagnostic accuracy of PCa and csPCa in ambiguous PI-RADS 3 lesions.
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Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying patients who may benefit from AS relies on unpleasant prostate biopsies, which entail the risk of bleeding and infection. In the current study, we aimed to develop a radiomics model based on prostate magnetic resonance images to identify AS candidates non-invasively.

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Background: The main functional gastrointestinal disorders (FGIDs) include functional dyspepsia (FD) and irritable bowel syndrome (IBS), which often present overlapping symptoms with gastroesophageal reflux disease (GERD), posing a challenge for clinical diagnosis and treatment. The gut microbiota is closely associated with FGIDs and GERD, although the causal relationship has not been fully elucidated. Therefore, we aimed to investigate the potential causal relationship using bidirectional two-sample Mendelian randomization (MR) analysis.

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Background: There are no clear conclusions as to whether inflammatory proteins and plasma metabolites influence erectile dysfunction (ED).

Aim: In this research, we used Mendelian randomization (MR) analysis to discover a causal relationship between inflammatory proteins, plasma metabolites, and ED.

Methods: Raw data with ED, inflammatory proteins, and plasma metabolites were obtained from the MRC IEU OpenGWAS and FinnGen database.

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Human carboxypeptidase B1 (hCPB1) is vital for recombinant insulin production, holding substantial value in the pharmaceutical industry. Current challenges include limited hCPB1 enzyme activity. In this study, recombinant hCPB1 efficient expression in Pichia pastoris was achieved.

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Chondroitin sulfate (CS) stands as a pivotal compound in dietary supplements for osteoarthritis treatment, propelling significant interest in the biotechnological pursuit of environmentally friendly and safe CS production. Enzymatic synthesis of CS for instance CSA has been considered as one of the most promising methods. However, the bottleneck consistently encountered is the active expression of chondroitin 4-O-sulfotransferase (C4ST) during CSA biosynthesis.

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  • 5-Aminolevulinic acid (5-ALA) is essential for making heme and chlorophyll, and this study focuses on creating efficient microbial production systems for it.
  • Researchers identified a novel 5-ALA synthase and used a small RNA library to enhance production through specific gene repression, resulting in significant increases in 5-ALA levels.
  • By employing strategies to improve efflux and reduce oxidative stress, they developed a microbial strain capable of producing up to 6.19 g·L of 5-ALA, advancing methods for its bioproduction.
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Heparosan as the precursor for heparin biosynthesis has attracted intensive attention while Escherichia coli Nissle 1917 (EcN) has been applied as a chassis for heparosan biosynthesis. Here, after uncovering the pivotal role of KfiB in heparosan biosynthesis, we further demonstrate KfiB is involved in facilitating KpsT to translocate the nascent heparosan polysaccharide chain. As a result, an artificial expression cassette KfiACB was constructed with optimized RBS elements, resulting in 0.

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Low-molecular-weight heparins (LMWHs), especially the specific-sized heparin oligosaccharides, are attractive for the therapeutic applications, while their synthesis remains challenging. In the present study, unsaturated even-numbered heparosan oligosaccharides were firstly prepared by cleaving high-molecular-weight heparosan using recombinant heparinase III (HepIII). The conversion rates of the unsaturated disaccharides, tetrasaccharides, hexasaccharides, octasaccharides, and decasaccharides were 33.

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Bacteria exhibit a rich repertoire of RNA molecules that intricately regulate gene expression at multiple hierarchical levels, including small RNAs (sRNAs), riboswitches, and antisense RNAs. Notably, the majority of these regulatory RNAs lack or have limited protein-coding capacity but play pivotal roles in orchestrating gene expression by modulating transcription, post-transcription or translation processes. Leveraging and redesigning these regulatory RNA elements have emerged as pivotal strategies in the domains of metabolic engineering and synthetic biology.

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Background The independent contribution of each Liver Imaging Reporting and Data System (LI-RADS) CT or MRI ancillary feature (AF) has not been established. Purpose To evaluate the association of LI-RADS AFs with hepatocellular carcinoma (HCC) and malignancy while adjusting for LI-RADS major features through an individual participant data (IPD) meta-analysis. Materials and Methods Medline, Embase, Cochrane Central Register of Controlled Trials, and Scopus were searched from January 2014 to January 2022 for studies evaluating the diagnostic accuracy of CT and MRI for HCC using LI-RADS version 2014, 2017, or 2018.

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Article Synopsis
  • The study investigates the role of tumor-associated macrophages (TAM) in the tumor microenvironment of prostate cancer, highlighting their influence on immune responses and cancer progression.
  • Researchers used advanced machine learning techniques to identify nine characteristic genes linked to TAM, which can predict how prostate cancer will progress and provide insights into clinical outcomes.
  • A nomogram was developed as a quantitative tool for doctors to assess prostate cancer prognosis based on TAM-related data, potentially improving treatment management for patients.
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