Publications by authors named "YingYing Liang"

Listeria monocytogenes is a major foodborne pathogen. In our previous study, we found that L. monocytogenes ST5 and ST121 strains were dominant in two food plants of Shanghai.

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  • A gene known as (X4) has been found in certain bacteria, showing a strong resistance to the antibiotic tigecycline (TGC), which is raising global alarm about antibiotic resistance.
  • Researchers studied a specific strain of this resistant bacteria, ST469 serovar Rissen (Rissen), isolated from pork in China, using various testing methods like antimicrobial susceptibility and whole-genome sequencing.
  • The study found that the (X4) gene is plasmid-mediated and can be shared among different bacterial strains, indicating a potential increase in the spread of TGC resistance beyond its current limits, highlighting the need for ongoing surveillance.
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  • - A study conducted in Shanghai from 2019-2022 found two types of plasmid-mediated antibiotic resistance in food samples, specifically in ready-to-eat foods and chicken.
  • - The plasmids identified (pEC1918-mcr10 and pEC2001-mcr10) are linked to high-level resistance to polymyxin B, an important antibiotic.
  • - The report emphasizes the need for ongoing monitoring of antibiotic resistance genes in the food supply to prevent public health risks.
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Purpose: To establish and validate a CT-based nomogram for accurately detecting HCC in patients at high risk for the disease.

Methods: A total of 223 patients were divided into training (n=161) and validation (n=62) cohorts between January of 2017 and May of 2022. Logistic analysis was performed, and clinical model and radiological model were developed separately.

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Aims: Phyllodes tumours (PTs) are relatively common fibroepithelial tumours comprising epithelial and stromal component. Usually, PTs show a spindle cell morphology with a fibroblast phenotype, while some tumour cells exhibit epithelioid morphological features and sarcomatoid transformation. However, the molecular characteristics of this morphology subset remain unclear.

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Background: Chronic kidney disease (CKD) increases the risk of cardiovascular disease (CVD) and is more prevalent in older adults. Retinal age gap, a biomarker of aging based on fundus images, has been previously developed and validated. This study aimed to investigate the association of retinal age gap with CKD and subsequent CVD complications.

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RNA helicase DHX33 has been identified as a critical factor promoting cancer development. In the present study, a previously developed small molecule inhibitor for DHX33, KY386, was found to robustly kill cancer cells via a new path, the ferroptosis pathway. Mechanistically, DHX33 promotes the expression of critical players in lipid metabolism including FADS1, FADS2, and SCD1 genes, thereby sensitizing cancer cells to ferroptosis mediated cell death.

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Background: Contrast-enhanced CT scans provide a means to detect unsuspected colorectal cancer. However, colorectal cancers in contrast-enhanced CT without bowel preparation may elude detection by radiologists. We aimed to develop a deep learning (DL) model for accurate detection of colorectal cancer, and evaluate whether it could improve the detection performance of radiologists.

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Objective: Diabetic macular edema (DME) is the leading cause of visual impairment in patients with diabetes mellitus (DM). The goal of early detection has not yet achieved due to a lack of fast and convenient methods. Therefore, we aim to develop and validate a prediction model to identify DME in patients with type 2 diabetes mellitus (T2DM) using easily accessible systemic variables, which can be applied to an ophthalmologist-independent scenario.

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Aim: To estimate the diagnostic value of magnetic resonance imaging (MRI)-based radiomic models in detecting the extramural venous invasion (EMVI) of rectal cancer.

Materials And Methods: Appropriate studies in multiple electronic databases were systematically retrieved. The Quality Assessment of Diagnostic Accuracy Studies 2 and Radiomics Quality Score (RQS) were used to evaluate the eligible studies' methodology quality.

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Age-related cataract and hearing difficulties are major sensory disorders that often co-exist in the global-wide elderly and have a tangible influence on the quality of life. However, the epidemiologic association between cataract and hearing difficulties remains unexplored, while little is known about whether the two share their genetic etiology. We first investigated the clinical association between cataract and hearing difficulties using the UK Biobank covering 502,543 individuals.

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Introduction: The study aimed to evaluate the effect of mydriasis on macular and peripapillary metrics with swept-source optical coherence tomography angiography (SS-OCTA) in healthy subjects.

Methods: Thirty-five healthy subjects were included. The macular region was scanned by the 3×3mm mode and 6×6mm mode, and the peripapillary region was scanned by the 4.

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Purpose: Glaucoma, a leading cause of blindness worldwide, is suspected to exhibit a notable association with psychological disturbances. This study aimed to investigate epidemiological associations and explore shared genetic architecture between glaucoma and mental traits, including depression and anxiety.

Methods: Multivariable logistic regression and Cox proportional hazards regression models were employed to investigate longitudinal associations based on UK Biobank.

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Purpose: To construct a gadoxetic acid-enhanced MRI (EOB-MRI) -based multivariable model to predict Ki-67 expression levels in hepatocellular carcinoma (HCC) using LI-RADS v2018 imaging features.

Methods: A total of 121 patients with HCC who underwent EOB-MRI were enrolled in this study. The patients were divided into three groups according to Ki-67 cut-offs: Ki-67 ≥ 20% (n = 86) vs.

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Fungal infection has become a major threat to crop loss and affects food safety. The waste water from agar processing industries extraction has a number of active substances, which could be further transformed by microorganisms to synthesize antifungal active substances. In this study, Bacillus subtilis was used to ferment the waste water from agar processing industries extraction to analyze the antifungal activity of the fermentation broth on Alternaria alternata and Alternaria spp.

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Article Synopsis
  • - The study examined the effects of combining mild therapeutic hypothermia with stereotactic aspiration in treating severe cerebral hemorrhage, involving 86 patients treated between March 2020 and January 2022.
  • - Results showed that the group receiving the hypothermia treatment had significantly better outcomes, including higher total efficacy rates (95.65% vs. 77.50%) and improved neurological function measured by the NIHSS score.
  • - At the 6-month follow-up, patients in the hypothermia group had lower levels of inflammatory markers and cerebral edema, along with a markedly better prognosis compared to the control group.
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Rationale And Objectives: This study aimed to develop and validate a deep learning and radiomics combined model for differentiating complicated from uncomplicated acute appendicitis (AA).

Materials And Methods: This retrospective multicenter study included 1165 adult AA patients (training cohort, 700 patients; validation cohort, 465 patients) with available abdominal pelvic computed tomography (CT) images. The reference standard for complicated/uncomplicated AA was the surgery and pathology records.

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Purpose: This study aimed to investigate alterations of outer retinal reflectivity on spectral-domain optical coherence tomography (OCT) in diabetic patients without clinically detectable retinopathy (NDR).

Methods: In this retrospective study, 64 NDR patients and 71 controls were included. Relative reflectivity (RR) of the ellipsoid zone (EZ), photoreceptor outer segment (OS) and inner segment (IS), and outer nuclear layer (ONL) at the foveola and at 500 μm, 1000 μm, and 2000 μm nasal (N), temporal (T), superior (S), and inferior (I) to the foveola was measured by cross-line OCT and ImageJ.

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Objective: To evaluate the association of atherosclerotic cardiovascular disease (ASCVD) risk factors with incident ASCVD events among type 2 diabetes (T2D) individuals with microvascular complications.

Methods: We included T2D participants with only microvascular complications from the UK Biobank cohort at baseline (2006-2010). Multivariable-adjusted Cox proportional hazards models were used to study the association between ASCVD risk factors with adjudicated incident ASCVD in T2D participants with only microvascular complications.

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Objectives: Falls are the leading cause of injury-related hospitalization in older adult, presenting a significant public health concern. To examine the specific eye diseases for risk factors of falls in the older adult.

Methods: A total of 775 older adults admitted to tertiary care hospitals were divided into a fall or non-fall group based on a questionnaire.

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  • The study investigates how risk factors for atherosclerotic cardiovascular disease (ASCVD) and overall mortality relate to patients with age-related macular degeneration (AMD) over time.
  • Researchers analyzed data from 3,508 AMD patients, observing that certain factors like increased serum gamma-glutamyl transferase and chronic kidney disease significantly impacted ASCVD events and all-cause mortality.
  • The findings highlight that the risk factors for ASCVD and mortality in AMD patients differ from those in the general population, emphasizing the need for tailored long-term risk management for these individuals.
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  • The study aimed to create and validate a deep learning model using CT scans to distinguish between bone islands and osteoblastic bone metastases in patients with sclerosing bone lesions.
  • A total of 2,111 SBLs from 728 patients were analyzed, with the 2.5D model (using three CT slices) outperforming the 2D model in diagnostic accuracy, achieving AUC values of 0.996, 0.958, and 0.952 across various validation datasets.
  • The findings suggest that the 2.5D DL model could improve clinical decision-making by providing more accurate predictions of osteoblastic bone metastases compared to traditional imaging methods.
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Motivation: Many ophthalmic disease biomarkers have been identified through comprehensive multiomics profiling, and hold significant potential in advancing the diagnosis, prognosis, and management of diseases. Meanwhile, the eye itself serves as a natural biomarker for several systemic diseases including neurological, renal, and cardiovascular systems. We aimed to collect and standardize this eye biomarkers information and construct the eye biomarker database (EBD) to provide ophthalmologists with a platform to search, analyze, and download these eye biomarker data.

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  • - The study aims to create and validate an AI system for diagnosing vertebral compression fractures (VCFs) using X-ray images from nearly 1900 patients at multiple hospitals.
  • - A deep learning model based on the ResNet-18 architecture was tested, showing diagnostic accuracy ranging from 0.757 to 0.850 across various test groups, outperforming radiologists with less expertise.
  • - The results suggest that this AI diagnostic tool could significantly enhance the detection of VCFs in community hospitals, providing a reliable resource for healthcare professionals.
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