Publications by authors named "Zhong Lei"

The aim of this study was to evaluate the diagnostic accuracy of the IGRA, TST, and TBST by combining diagnostic test accuracy (DTA) analysis and network meta-analysis (NMA) to increase the reliability and accuracy of diagnostic methods and promote the eradication of TB. An electronic search of the PubMed, Embase, and Cochrane databases was conducted, from the date of establishment to September 30, 2024. Data were synthesized with frequentist random-effects network meta-analyses, a single-group rate meta-analysis algorithm, and a bivariate mixed-effects logistic regression model.

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Objective: This study aims to establish a new prognostic index using machine learning models to predict the clinical outcomes of triple-negative breast cancer (TNBC) patients receiving neoadjuvant therapy.

Methods: In this study, we collected data from the electronic medical records system of Harbin Medical University Cancer Hospital to establish a training set of 501 breast cancer patients who received neoadjuvant therapy from January 2017 to December 2021. Additionally, we collected data from Harbin Medical University Affiliated Cancer Hospital, Harbin Medical University Affiliated Second Hospital, and Harbin Medical University Affiliated Sixth Hospital to establish a validation set of 1533 patients during the same period.

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Objective: To assess sleep quality in intensive care unit (ICU) patients using cardiopulmonary coupling (CPC) analysis and explore its predictive value for delirium.

Method: ICU patients (n = 135) were divided into the delirium group (n = 44) and control group (n = 91) based on the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). CPC analysis was used to evaluate the sleep quality of all participants.

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Background: Both Borrelia burgdorferi (Bb) and Anaplasma phagocytophilum (Ap) can infect humans and animals through tick-borne transmission, resulting in zoonosis. Under certain conditions, human infection can lead to Lyme disease (LD) and human granulocytosis (HGA), whereas infection in animals can cause various acute and non-specific symptoms. The combination of Bb and Ap has been reported to increase the disease severity in infected animals.

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Background: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease that accounts for > 90% of all diabetes cases. Acute pancreatitis (AP) can be triggered by various factors and is a potentially life-threatening condition. Although T2DM has been shown to have a close relationship with AP, the common mechanisms underlying the two conditions remain unclear.

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Background: Acute kidney injury (AKI) is a clinically complex syndrome with a high incidence and mortality rate in the intensive care unit (ICU). Early identification of high-risk patients and timely intervention are crucial.

Objective: A local database was used to construct a model that predicts the incidence of AKI in ICU patients within 48 hours.

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Urinary system tumors include malignancies of the bladder, kidney, and prostate, and present considerable challenges in diagnosis and treatment. The conventional therapeutic approaches against urinary tumors are limited by the lack of targeted drug delivery and significant adverse effects, thereby necessitating novel solutions. Intelligent nanomedicine has emerged as a promising therapeutic alternative for cancer in recent years, and uses nanoscale materials to overcome the inherent biological barriers of tumors, and enhance diagnostic and therapeutic accuracy.

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Background: Tandem Spinal Stenosis (TSS) is a disease characterised by the narrowing of the spinal canal in two or more non-adjacent areas of the spine, often affecting both the cervical and lumbar vertebrae. Doctors and patients increasingly favour non-surgical treatments that have the function of relieving symptoms and improving outcomes. This systematic review aims to evaluate the effectiveness and safety of non-surgical therapies for TSS and comprehensively summarise existing evidence.

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Article Synopsis
  • A recent study aimed to determine if there's a causal relationship between remnant cholesterol (RC) levels and various cardiovascular diseases (CVDs) using a two-sample Mendelian randomization analysis.
  • The main findings indicated that genetically predicted high RC levels significantly increase the risk for conditions like ischemic heart disease, myocardial infarction, and heart failure, among others.
  • The study employed multiple analyses and sensitivity tests to ensure the reliability of the results, revealing strong associations with specific CVDs and their respective odds ratios.
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  • * Research identified mitochondrial ribosomal protein L41 (MRPL41) as a key target affected by Acu, showing increased expression during stroke conditions and decreased levels after Acu treatment.
  • * Silencing MRPL41 enhanced cell survival by promoting anti-apoptotic proteins and reducing pro-apoptotic signals, leading to improved neurological outcomes and reduced brain damage in experimental models of ischemic stroke.
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Background: Loss of heterozygosity (LOH) diminishes genetic diversity within cancer genomes. A tumour arising in an individual heterozygous for a functional and a loss-of-function (LoF) allele of a gene occasionally retain only the LoF allele. This can result in deficiency of specific protein activities in cancer cells, creating unique differences between tumour cells and normal cells of the individual.

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Cottonseed meal and rapeseed meal exhibit a potential for fishmeal substitute in grass carp feed, while their excessive use contribute to growth decline and weakening immunity of aquatic animals. Clostridium butyricum metabolites (CBM) was recognized as a functional additive due to its antioxidant properties and maintenance of intestinal microbiota balance. CBM was added to a high of cottonseed and rapeseed meal diet to determine its effects on growth, immunity, and intestinal microbiota alterations of grass carp (Ctenopharyngodon idella) over 56 days.

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Tuberculosis (TB) is a global infectious threat, and the emergence of multidrug-resistant TB has become a major challenge in eradicating the disease that requires the discovery of new treatment strategies. This study aimed to elucidate the immune infiltration and molecular regulatory network of T cell-interacting activating receptors on myeloid cell 1 ()-related genes based on a bioinformatics analysis. The GSE114911 dataset was obtained from the Gene Expression Omnibus (GEO) and screened to identify 17 -related differentially expressed genes (TRDEGs).

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Observational studies indicate that variations in peripheral blood mononuclear cell (PBMC) subsets are associated with an increased risk of pulmonary tuberculosis (PTB) and coronavirus disease 2019 (COVID-19), but causal validation is lacking. Here, we combined single-cell expression quantitative trait locus (sc-eQTL) and two-sample mendelian randomization (MR) analyses to elucidate the causal relationship between PBMC subsets and the occurrence of PTB and COVID-19 and verified by RT-qPCR. We observed an increase in the CD4 Effective Memory T Cell (CD4 T) cluster in both PTB and COVID-19 patients according to the single-cell transcriptional landscape of PBMC.

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Silk fabrics hold immense historical value as precious legacies left by our ancestors, yet they face significant damage during archaeological excavations, necessitating urgent protective measures. However, The current protective materials can't effectively prevent the degradation of silk fabrics. Nanotechnology has emerged as a promising avenue for the consolidation and preservation of silk fabrics, offering novel concepts and materials.

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Biomass-derived hard carbon is a promising anode material for commercial sodium-ion batteries due to its low cost, high capacity, and stable cycling performance. However, the intrinsic tight lignocellulosic structure in biomass hinders the formation of sufficient closed pores, limiting the specific capacity of obtained hard carbons. In this contribution, a mild, industrially mature pretreatment method is utilized to selectively regulate biomass components.

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Heart failure is a multifaceted clinical syndrome, with obesity identified as a significant modifiable risk factor. This study employed a two-sample Mendelian randomization (MR) design, incorporating obesity data across life stages, to elucidate the causal link between obesity and heart failure. Data on heart failure from the 2023 Finngen database and genetic predictors of obesity from the IEU OpenGWAS project were analyzed using the IVW method, MR-Egger regression, weighted median, simple mode, weighted mode, and scatter plots.

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Research has shown that sustained protein restriction can improve the effects of a high-fat diet on health and extend lifespan. However, long-term adherence to a protein-restricted diet is challenging. Therefore, we used a fly model to investigate whether periodic protein restriction (PPR) could also mitigate the potential adverse effects of a high-fat diet and extend healthy lifespan.

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Lycopene, a carotenoid with numerous physiological benefits, particularly in its -isomer form, faces challenges in its application due to low chemical stability. To address this limitation, high internal phase emulsion was successfully synthesized using ovalbumin-chitosan complexes. The aim was to enhance the stability of lycopene including -lycopene.

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Article Synopsis
  • The study aimed to create and assess a predictive model for in-hospital mortality in critically ill patients with acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT) using nine machine learning algorithms.
  • Data from the MIMIC database was utilized to train the models, while patients from Huzhou Central Hospital served as an external validation cohort for testing model performance.
  • Among the nine models, the Lasso regularized logistic regression (Lasso-LR) model showed the best performance with the highest area under the receiver operating characteristic curve (AUROC) of 0.756, indicating it was the most accurate in predicting patient outcomes.
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Continuous renal replacement therapy (CRRT) is a commonly utilized treatment modality for individuals experiencing severe acute kidney injury (AKI). The objective of this research was to construct and assess prognostic models for the timely discontinuation of CRRT in critically ill AKI patients receiving this intervention. Data were collected retrospectively from the MIMIC-IV database ( = 758) for model development and from the intensive care unit (ICU) of Huzhou Central Hospital ( = 320) for model validation.

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Background: Cardiac arrest (CA) is a common event in the intensive care unit (ICU), which seriously threatens the prognosis of patients. Therefore, it is crucial to determine a simple and effective clinical indicator to judge the prognosis of patients after a CA for later treatments. The purpose of this study was to investigate the relationship between the lactate dehydrogenase to albumin ratio (LAR) and the prognosis of patients after a CA.

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Article Synopsis
  • - The study investigates the link between the albumin-corrected anion gap (ACAG) and mortality rates in patients with cardiogenic shock (CS), a serious condition with high death rates, aiming to determine if ACAG can serve as a reliable biomarker.
  • - Researchers analyzed data from 839 patients using survival curves and statistical models to find that higher ACAG values at admission were associated with significantly lower survival rates at both 30 and 90 days.
  • - The findings indicated that ACAG is an independent risk factor for increased mortality in CS patients, suggesting that it could potentially be used to predict outcomes and guide treatment decisions.
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