Publications by authors named "Qianyun Deng"

Aim: While metagenomic next-generation sequencing (mNGS) is a high-throughput diagnostic tool capable of rapidly and accurately identifying pathogenic microorganisms, predicting their antibiotic resistance/susceptibility profiles, its clinical utility in peritoneal dialysis-associated peritonitis (PDAP) remains unvalidated. This study aims to evaluate its ability to enable early pathogen detection and predict antibiotic susceptibility, thereby informing optimised treatment strategies.

Method: A prospective randomised controlled trial was conducted in patients diagnosed with PDAP.

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With socio-economic development, the prevalence of intestinal parasitic diseases has significantly decreased year by year. However, parasitic infections remain a major public health issue globally, particularly in developing countries and regions. Timely diagnosis and treatment are crucial for controlling the spread of these diseases.

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Generally, small molecule alcohols and concentrated electrolyte ions can be introduced into the medium of hydrogels as anti-freezing agents to achieve significant anti-freezing properties. However, due to the exchange effect with the external environment, the anti-freezing agents may leak or change in composition causing contamination and unstable material performance during use. Here, cellulose and sodium polyacrylate (PAAS) were used to construct interpenetrating network hydrogels, with cellulose comprising up to 63% of the system.

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Polyurethanes are widely utilized across various fields. In the pursuit of sustainable development, current research prioritizes the development of bio-based, environmentally friendly polyurethanes. Wood flour, a type of biomass waste, faces significant challenges in achieving high-value utilization.

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Article Synopsis
  • * It used data from 964 patients and applied nine different machine learning algorithms, ultimately finding that the random forest model performed the best and accurately predicted outcomes with an AUC of 0.903.
  • * The model is user-friendly and addresses interpretability concerns in machine learning by clearly ranking the importance of features that affect discharge outcomes.
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Previous studies have indicated adverse health effects of exposure to polycyclic aromatic hydrocarbons (PAHs), but evidence on the association between PAH exposure and immunity is scarce and its underlying mechanism is largely unknown. This study assessed human exposure to PAHs by determining the concentrations of PAHs in serum and their metabolites in paired urine. The oxidative stress and inflammation levels were evaluated by urinary DNA damage biomarker 8-hydroxydeoxyguanosine, white blood cell counts and C-reaction protein.

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Objectives: Clinicians often face the challenge of differentially diagnosing febrile patients who are suspected of infectious diseases, since the clinical manifestations of infection and cancer may overlap. A single test that can detect both pathogens and tumor could provide timely and accurate diagnostic clues to aid the treatment and management of these patients.

Methods: We enrolled eight patients to evaluate the utility of metagenomic Next-Generation Sequencing for simultaneously detecting pathogens and neoplasms using body fluids and tissue samples.

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Bacterial infections often involve virulence factors that play a crucial role in the pathogenicity of bacteria. Accurate detection of virulence factor genes (VFGs) is essential for precise treatment and prognostic management of hypervirulent bacterial infections. However, there is a lack of rapid and accurate methods for VFG identification from the metagenomic data of clinical samples.

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Article Synopsis
  • Multidrug-resistant bacteria, like Acinetobacter baumannii, pose serious public health risks, as traditional antibiotic susceptibility testing (AST) is slow and leads to treatment delays.
  • Researchers developed a machine learning model using metagenomic next-generation sequencing (mNGS) to quickly identify key genetic traits linked to antibiotic resistance, demonstrating high accuracy in predicting bacterial responses to various antibiotics.
  • The mNGS-AST method reduced reporting time to about 19.1 hours compared to 63.3 hours for conventional methods, showing 100% agreement with phenotypic results in prospective tests and promising application for other pathogens.
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Background And Aims: China has the largest number of chronic kidney disease (CKD) patients. Current CKD definition has been challenged recently. We aim to reassess kidney function in healthy Chinese population, to provide a more appropriate reference range (RIs) for diagnosis, treatment, monitoring (or screening) of kidney disease and related research.

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Background: Pneumonia produced by coinfection with (PJ) and cytomegalovirus (CMV) in infants and young children without timely diagnosis and treatment is often fatal due to the limitations of traditional tests. More accurate and rapid diagnostic methods for multiple infections are urgently needed.

Case Presentation: Here, we report a case of a 2-month-old boy with pneumonia caused by (PJ) and cytomegalovirus (CMV) without HIV infection.

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Biopolymer/silica nanocomposite aerogels are highly attractive as thermally insulating materials for prevailing energy-saving engineering but are usually plagued by their lack of mechanical strength and environmental stability. Lignin is an appealing plant phenolic biopolymer due to its natural abundance, high stiffness, water repellency, and thermostability. However, integrating lignin and silica into high-performance 3D hybrid aerogels remains a substantial challenge due to the unstable co-sol process.

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Dysferlin (DYSF) has drawn much attention due to its involvement in dysferlinopathy and was reported to affect monocyte functions in recent studies. However, the role of DYSF in the pathogenesis of atherosclerotic cardiovascular diseases (ASCVD) and the regulation mechanism of DYSF expression have not been fully studied. In this study, Gene Expression Omnibus (GEO) database and epigenome-wide association study (EWAS) literatures were searched to find the DNA methylation-driven genes (including DYSF) of ASCVD.

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Background: Recent studies have suggested that folic acid can restore abnormal DNA methylation and monocyte subset shifts caused by hyperhomocysteinemia (HHcy) and hyperlipidemia (HL). However, the exact mechanism of action is still not fully understood. In this study, we further investigated the reversal effect and underlying mechanism of folic acid on the shift in monocyte subsets induced by aberrant lipids and Hcy metabolism via DNA methylation in vitro and in vivo.

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This study aimed to explore changes in carbapenem-resistant (CR-KP) isolates collected in Guangdong over the period of 2016-2020. Antibacterial susceptibility was quantified through VITEK 2 compact and K-B method. Carbapenemase phenotypes and genotypes were characterized by modified carbapenem inactivation method (mCIM), EDTA-carbapenem inactivation method (eCIM), and polymerase chain reaction (PCR).

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Novel coronavirus disease (COVID-19) caused by SARS-CoV-2 is an ongoing global pandemic associated with high rates of morbidity and mortality. RT-qPCR has become the diagnostic standard for the testing of SARS-CoV-2 in most countries. COVID-19 diagnosis generally relies upon RT-qPCR-mediated identification of SARS-CoV-2 viral RNA, which is costly, labor-extensive, and requires specialized training and equipment.

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Article Synopsis
  • A new diagnostic test called RT-LAMP was developed to detect SARS-CoV-2, the virus causing COVID-19, aiming for quicker and more sensitive results compared to existing methods.
  • The test was validated using samples from patients suspected of having COVID-19 and showed high accuracy with a sensitivity of 88.89% and specificity of 99.00%.
  • RT-LAMP can provide results in under an hour, is effective for asymptomatic carriers, and does not react with other respiratory viruses, making it a promising tool for widespread COVID-19 testing.
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Background: Circular RNAs (circRNAs) have been reported to aberrantly express in coronary artery disease (CAD). Due to their special structures, circRNAs have the potential to be specific and stable markers. We conducted this study to explore circZNF609's function in atherosclerosis and to evaluate its predictive values for CAD.

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Objective: To explore the genetic basis for a pedigree affected with Marfan syndrome (MFS).

Methods: Clinical data of the patients was collected. With genomic DNA extracted from peripheral blood samples, potential mutation was detected by targeted exome sequencing.

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Background: Hepatocellular carcinoma (HCC) is the most common malignant tumor worldwide. Circular RNAs (circRNAs), a new class of endogenous non-coding RNAs, are widespread and abundant in mammalian cells. Cumulative evidence showed that circRNAs play significant roles in the process of cancer.

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Background: The lymphocyte to monocyte ratio (LMR), a novel systematic biomarker of inflammation, has been reported to be associated with the progression and prognosis of many malignant cancers. However, the relationship between LMR and survival outcome of urological cancers (UCs) remains controversial. Herein, we conducted a meta-analysis to identify the prognostic value of pretreatment LMR in patients with UCs.

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Article Synopsis
  • The study examined DNA methylation changes in peripheral blood leukocytes (PBLs) among 265 coronary artery disease (CAD) patients and 270 healthy controls to better understand its role in atherosclerosis.
  • It found that lower levels of 5-methylcytosine (5-mC) in PBLs were linked to higher cholesterol levels, older age, and increased CAD risk, while significant differences were noted in monocytes specifically.
  • Additionally, the study highlighted a decrease in the expression of the DNMT1 gene in CAD patients and found that global hypomethylation in blood cells, particularly in monocytes, is independently associated with CAD risk.
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Quantification of low molecular weight compounds (<800 Da) using matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI MS) is challenging due to the matrix signal interference at low m/z region and poor reproducibility of MS responses. In this study, a C60 labeling-MALDI MS strategy was proposed for the fast, sensitive and reliable determination of amino acids (AAs) in biofluids. An N-hydroxysuccinimide functionalized C60 was synthesized as the labeling reagent and added as an 880 Da tag to AAs; a carboxyl acid containing C60 was employed as the internal standards to normalize MS variations.

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Fatty acids (FAs) are groups of liposoluble carboxylic acids (LCAs) and play important roles in various physiological processes. Abnormal contents or changes of FAs are associated with a series of diseases. Here we developed a strategy with stable isotope labeling combined with liquid chromatography-tandem mass spectrometry (IL-LC-MS) analysis for comprehensive profiling and relative quantitation of LCAs in human serum.

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Background: Aging is a complex phenomenon and characterized by a progressive decline in physiology and function of adult tissues. However, it hasn't been well established of the correlation between aging and global DNA methylation and hydroxymethylation that regulate the growth and development of higher organisms.

Results: We developed an on-line trapping/capillary hydrophilic-interaction liquid chromatography/electrospray ionization-mass spectrometry method for ultra-sensitive and simultaneous quantification of 5-methylcytosine (5-mC) and 5-hydroxymethylcytosine (5-hmC) in genomic DNA from human blood.

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