Publications by authors named "Yu-ting Guo"

Bile acids (BAs) play a crucial role in lipid metabolism of children. However, the association between per- and polyfluoroalkyl substance (PFAS) exposure and BAs in children is scarce. To address this need, we selected 252 children from the Maoming Birth Cohort and measured 32 PFAS, encompassing short- and long-chain perfluorocarboxylic acids (PFCAs) and perfluorosulfonic acids (PFSAs) in the cord blood.

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Per- and polyfluoroalkyl substances (PFAS) have attracted worldwide attention as one of persistent organic pollutants; however, there is limited knowledge about the exposure concentrations of PFAS-contained ambient particulate matter and the related health risks. This study investigated the abundance and distribution of 32 PFAS in fine particulate matter (PM) collected from 93 primary or secondary schools across the Pearl River Delta region (PRD), China. These chemicals comprise four PFAS categories which includes perfluoroalkyl carboxylic acids (PFCAs), perfluoroalkyl sulfonic acids (PFSAs), perfluoroalkyl acid (PFAA) precursors and PFAS alternatives.

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The investigation of the structural characteristics of chiral drugs in physiological environments is a challenging research topic, which may lead to a better understanding of how the drugs work. Raman optical activity (ROA) spectroscopy in combination with density functional theory (DFT) calculations was exploited to inspect the structural changes in penicillamine under different acid-base states in aqueous solutions. The B3LYP/aug-cc-PVDZ method was employed and the implicit solvation model density (SMD) was considered for describing the solvation effect in HO.

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Article Synopsis
  • - The study investigates the use of deep neural networks, specifically FR-CNN, to improve the identification of perigastric metastatic lymph nodes (PGMLNs) in CT scans, aiming to mimic and enhance radiologists' recognition abilities.
  • - A dataset of 1371 labeled CT images and additional original images was analyzed to compare the accuracy of the FR-CNN model against radiologists' assessments, with initial results showing promising metrics for precision and recall.
  • - After refining the model, improvements in accuracy were noted, with metrics like mean average precision (mAP) increasing from 0.5019 to 0.7801, and area under the curve (AUC) rising from 0.8995 to 0.
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Background: Early diagnosis and accurate staging are important to improve the cure rate and prognosis for pancreatic cancer. This study was performed to develop an automatic and accurate imaging processing technique system, allowing this system to read computed tomography (CT) images correctly and make diagnosis of pancreatic cancer faster.

Methods: The establishment of the artificial intelligence (AI) system for pancreatic cancer diagnosis based on sequential contrast-enhanced CT images were composed of two processes: training and verification.

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Background: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to comprehensively verify its accuracy in clinical use.

Methods: Four hundred fourteen patients with rectal cancer discharged between January 2013 and March 2015 were collected from 6 clinical centers, and the magnetic resonance imaging data for pelvic metastatic LNs of each patient was identified by Faster R-CNN.

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The purpose of the present study was to characterize the generation of nitric oxide (NO) in Artemisia annua roots induced by an oligosaccharide elicitor (OE) from Fusarium oxysporum mycelium and the potentiation role of NO in the elicitation of artemisinin accumulation. The OE (0.3 mg total sugar/mL) induced a rapid production of NO in cultures, which exhibited a biphasic time course, reaching the first plateau within 1.

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Background: Confocal endomicroscopy is a newly developed endoscopic imaging technology that produces 1000-fold magnification cross-sectional images of the GI surface and subsurface tissue during routine endoscopy. The gastric pit patterns identified by confocal endomicroscopy and correlation with histopathologic examination have not yet been established.

Objective: Our purpose was to explore the appearance of various kinds of gastric pits and clarify the relationship between gastric pit patterns and the histopathologic findings.

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Background And Aim: The purpose of the present paper was to investigate the effects of cold water intake on 5-hydroxytryptamine (5-HT) and its metabolite 5-hydroxyindole acetic acid (5-HIAA) in diarrhea-predominant irritable bowel syndrome (d-IBS) patients, and to observe the relationship between 5-HT and symptomatology.

Methods: The plasma 5-HT/5-HIAA concentrations at 0, 30 min, 60 min, 90 min, 120 min, 150 min and 180 min following cold or warm water intake were investigated in 32 female subjects with d-IBS and 21 healthy female subjects. Gastric mucosal 5-HT under fasting conditions and following water intake were further investigated in 15 d-IBS patients and nine healthy subjects.

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Article Synopsis
  • CEM is a new endoscopic technology that allows visualization of living gastric tissue at a cellular level and aims to improve the prediction of histopathology in gastric depressed-type lesions.
  • The study involved 43 patients where 51 lesions were assessed with CEM, producing nearly 5,000 images for analysis compared with traditional biopsy results in a double-blinded manner.
  • Results showed that CEM achieved very high sensitivity (95.7%) and specificity (97.6%) for diagnosing gastric cancer, indicating its potential for accurate early detection and differentiation of gastric lesions during endoscopy.
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Background And Aim: Confocal laser endomicroscopy allows subsurface analysis of gastrointestinal mucosa during ongoing endoscopy. The present study assessed the feasibility of in vivo detecting superficial vascular architecture by confocal endomicroscopy in normal upper gastrointestinal mucosa and malignant lesions.

Methods: Early gastric cancer in eight patients, superficial esophageal carcinoma in six patients, and asymptomatic normal control in 10 patients were studied by confocal endomicroscopy.

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By using copper oxide nanofluid fabricated by the self-made Submerged Arc Nanofluid Synthesis System (SANSS), this paper measures the thermal conductivity under different volume fractions and different temperatures by thermal properties analyzer, and analyzes the correlation among the thermal conductivity, volume fraction, and temperature of nanofluid. The CuO nanoparticles used in the experiment are needle-like, with a mean particle size of about 30 nm. They can be stably suspended in deionized water for a long time.

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Objective: To investigate the role of human transcription factor NF-E2-related factor 2 (Nrf2) in the induction of the gene expression of uridine 5'-diphosphate-glucuronosyltransferase (UGT) 1A and its isoforms by epigallocatechin gallate (EGCG).

Methods: (1) Human colon carcinoma cells Caco-2 and HT-29 were cultured. Immunocytochemistry, western blotting and confocal laser microscopy were used to detect the protein expression of Nrf2.

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