Publications by authors named "Chi-Jen Lo"

Background: Phenylalanine accumulation is associated with inflammation, immune system activation, and oxidative stress-all of which are involved in the pathophysiology of acute respiratory distress syndrome (ARDS). This study evaluated the correlation between longitudinal changes in plasma phenylalanine levels and clinical outcomes in patients with ARDS.

Methods: This prospective observational cohort study conducted in Taiwan focused on plasma amino acid profiling in ARDS patients between February 2017 and June 2018, and again between November 2021 and October 2023.

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Background: Cardiotoxicity of doxorubicin, a chemotherapy medication, remains the most dangerous side effect. CISD2 plays a critical role during cardiac aging.

Objectives: We use a potent CISD2 activator, hesperetin, to ameliorate doxorubicin-induced cardiotoxicity by upregulating CISD2 in mice.

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Background: Coronary artery disease (CAD) remains a leading cause of mortality in developed nations. While previous genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) linked to CAD, their impact on disease progression requires trans-omics validation.

Methods: This study merges whole genome SNP analysis and metabolomic profiling to distinguish CAD patients from high-risk and healthy individuals.

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Trimethylamine N-oxide (TMAO) serves as a crucial biomarker for early detection and prevention of cardiovascular and chronic kidney diseases. In this study, we design and implement a novel pixel array-based urine biosensor to explore the relationship between TMAO levels and glucose in urine and the urine albumin-creatinine ratio (UACR). The urine biosensor, incorporating a specialized readout circuit, measures TMAO across various UACR ranges, revealing a linear correlation with a slope of 8.

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Diabetic kidney disease (DKD) is a serious healthcare dilemma. Nonetheless, the interplay between the functional capacity of gut microbiota and their host remains elusive for DKD. This study aims to elucidate the functional capability of gut microbiota to affect kidney function of DKD patients.

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Background: We hypothesized that food sensitization in children could be linked to specific gut microbiota. The objective of this study is to assess a group of children with egg white sensitization (ES) from the microbiological and biochemical-metabolic standpoint, applying the microbiota and metabolomics approach to studying the intestinal contents of the feces.

Methods: Twenty-eight toddlers with ES (mean age 13.

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, a dominant member of the gastric microbiota was associated with various gastrointestinal diseases and presents a significant challenge due to increasing antibiotic resistance. This study identifies 's phospholipase A (PldA) as a critical factor in modulating host macrophage responses, facilitating 's evasion of the immune system and persistence. PldA alters membrane lipids through reversible acylation and deacylation, affecting their structure and function.

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Background And Purpose: Radiomics offers little explainability. This study aims to develop a radiomics model (Rad-Score) using diffusion-weighted imaging (DWI) to predict high-risk patients for nodal metastasis or recurrence in endometrial cancer (EC) and corroborate with choline metabolism.

Materials And Methods: From August 2015 to July 2018, 356 EC patients were enrolled.

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Multiple reaction monitoring (MRM) is a powerful and popular technique used for metabolite quantification in targeted metabolomics. Accurate and consistent quantitation of metabolites from the MRM data is essential for subsequent analyses. Here, we developed an automated tool, MRMQuant, for targeted metabolomic quantitation using high-throughput liquid chromatography-tandem mass spectrometry MRM data to provide users with an easy-to-use tool for accurate MRM data quantitation with minimal human intervention.

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Introduction: The influence of deranged body composition on stage I/II hepatocellular carcinoma (HCC) after surgery remains undetermined. The current study aimed to investigate the impact of low skeletal muscle bulk and disturbed body fat mass on the recurrence outcome of stage I/II HCC patients undergoing liver resection. The associated metabolomic alterations were also assessed.

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The coming of the hyper-aged society in Taiwan prompts us to investigate the relationship between the metabolic status of sarcopenic patients and their most adverse outcome-death. We studied the association between any plasma metabolites and the risk for mortality among older Taiwanese sarcopenic patients. We applied a targeted metabolomic approach to study the plasma metabolites of adults aged ≥65 years, and identified the metabolic signature predictive of the mortality of sarcopenic patients who died within a 5.

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Plasma lipid levels are commonly measured using traditional methods such as triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and cholesterol (CH). However, the use of newer technologies, such as nuclear magnetic resonance (NMR) with post-analysis platforms, has made it easier to assess lipoprotein profiles in research. In this study involving ApoE-deficient mice that were fed high-fat diets, significant changes were observed in TG, CH, free cholesterol (FC), and phospholipid (PL) levels within the LDL fraction.

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A demonstration of an off-chip capacitance array sensor with a limit of detection of 1 μM trimethylamine N-oxide (TMAO) to diagnose a chronic metabolism disease in urine is presented. The improved Cole-Cole model is employed to determine the parameters of , , and , enabling the prediction of the catalytic resistance of enzyme, reduction effects of the analyte, and characterize the small signal alternating current properties of ionic strength caused by catalysis. Based on the standard solutions, we investigate the effects of pixel geometry parameters, driving electrode width, and sensing electrode width on the electrical field change of the off-chip capacitance sensor; the proposed off-chip sensor with readout system-on-chip exhibits a high sensitivity of 21 analog-to-digital converter counts/μM TMAO (or 2.

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Atherosclerosis is an inflammatory disease of the arteries associated with alterations in lipid and other metabolism and is a major cause of cardiovascular disease (CVD). LDL consists of several subclasses with different sizes, densities, and physicochemical compositions. Small dense LDL (sd-LDL) is a subclass of LDL.

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Background: Sarcopenia is defined as the disease of muscle loss and dysfunction. The prevalence of sarcopenia is strongly age-dependent. It could bring about disability, hospitalization, and mortality.

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Background: During biological aging, significant metabolic dysregulation in the central nervous system may lead to cognitive decline and neurodegeneration. However, the metabolomics of the aging process in cerebrospinal fluid (CSF) has not been thoroughly explored.

Methods: In this cohort study of CSF metabolomics using liquid chromatography-mass spectrometry (LC-MS), fasting CSF samples collected from 92 cognitively unimpaired adults aged 20-87 years without obesity or diabetes were analyzed.

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Alterations in lipid composition and disturbed lipoprotein metabolism are involved in the pathomechanism of Huntington's disease (HD). Here, we measured 112 lipoprotein subfractions and components in the plasma of 20 normal controls, 24 symptomatic (sympHD) and 9 presymptomatic (preHD) HD patients. Significant changes were found in 30 lipoprotein subfractions and components in all HD patients.

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Various groups of antihypertensive drugs targeting different pathways have been developed; however, the pharmacometabolic responses to these drugs have rarely been compared to elucidate the common pathway of blood pressure regulation. Here, we performed a comparative multi-dimensional pharmacometabolic study on the four major lines of antihypertensive drugs, namely angiotensin-converting enzyme inhibitors (ACEis), angiotensin receptor blockers (ARBs), calcium channel blockers (CCBs), and diuretics (DIURs), through ultra-performance liquid chromatography coupled to quantum time-of-flight mass spectrometry. Two hundred fifty patients with young-onset hypertension, who were equally divided among five study groups: non-medicated, ACEi, ARB, CCB, and DIUR groups, were recruited.

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Diabetic kidney disease (DKD) is the major cause of end stage renal disease in patients with type 2 diabetes mellitus (T2DM). The subtle metabolic changes in plasma and cerebrospinal fluid (CSF) might precede the development of DKD by years. In this longitudinal study, CSF and plasma samples were collected from 28 patients with T2DM and 25 controls, during spinal anesthesia for elective surgery in 2017.

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Article Synopsis
  • - Diabetic kidney disease is a major global health issue, and researchers are using AI and machine learning to identify biomarkers that indicate which diabetes patients are at high risk for this condition.
  • - Three predictive models were developed based on clinical data and various genomic datasets, showing different accuracy rates for differentiating between diabetes patients and assessing their risk for kidney issues.
  • - The study also highlights specific genes involved in kidney impairment progression in diabetes patients, suggesting that AI can enhance traditional methods by uncovering complex molecular interactions.
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Article Synopsis
  • ARDS is a serious condition characterized by an imbalanced immune response, leading to severe oxidative stress and high mortality rates; a study found that over half (52.2%) of patients died in the hospital.
  • Researchers assessed amino acid and biogenic amine metabolites in 69 ARDS patients, discovering that higher levels of kynurenine and its ratio to tryptophan in the blood were linked to death rates.
  • The study suggests that monitoring the kynurenine pathway could help predict outcomes for ARDS patients and may provide targets for treatments aimed at reducing oxidative stress and improving survival.
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Our previous clinical trial showed that a novel concentrated herbal extract formula, YH1 ( and Shen-Ling-Bai-Zhu-San), improved blood glucose and lipid control. This pilot observational study investigated whether YH1 affects microbiota, plasma, and fecal bile acid (BA) compositions in ten untreated male patients with type 2 diabetes (T2D), hyperlipidemia, and a body mass index ≥ 23 kg/m. Stool and plasma samples were collected for microbiome, BA, and biochemical analyses before and after 4 weeks of YH1 therapy.

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The molecular process of biological aging might be accompanied by significant metabolic derangement, especially in the central nervous system (CNS), since the brain has an enormous energy demand. However, the metabolic signature of the aging process in cerebrospinal fluid (CSF) has not been thoroughly investigated, especially in the Asian population. In this prospective cohort study on CSF metabolomics using proton nuclear magnetic resonance (NMR) spectroscopy, fasting CSF samples from 75 cognitively unimpaired patients aged 20-92 years without diabetes or obesity, undergoing spinal anesthesia for elective surgery were analyzed.

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7-Ketocholesterol (7KCh) is a major oxidized cholesterol product abundant in lipoprotein deposits and atherosclerotic plaques. Our previous study has shown that 7KCh accumulates in erythrocytes of heart failure patients, and further investigation centered on how 7KCh may affect metabolism in cardiomyocytes. We applied metabolomics to study the metabolic changes in cardiac cell line HL-1 after treatment with 7KCh.

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