Publications by authors named "HuiRu Tang"

Simultaneous analysis of multiple phosphorylated metabolites (phosphorylated metabolome) in biological samples is vital to reveal their physiological and pathophysiological functions, which is extremely challenging due to their low abundance in some biological matrices, high hydrophilicity, and poor chromatographic behavior. Here, we developed a new method with ion-pair reversed-phase ultrahigh-performance liquid chromatography and mass spectrometry using BEH C18 columns modified with hybrid surface technology. This method demonstrated good performances for various phosphorylated metabolites, including phosphorylated sugars and amino acids, nucleotides, NAD-based cofactors, and acyl-CoAs in a single run using standard LC systems.

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Neurotensin (NTS) is a secretory peptide produced by lymphatic endothelial cells. Our previous study revealed that NTS suppressed the activity of brown adipose tissue via interactions with NTSR2. In the current study, we found that the depletion of Ntsr2 in white adipocytes upregulated food intake, while the local treatment of NTS suppressed food intake.

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Parkinson's disease (PD), characterized by progressive degeneration of dopaminergic neurons in substantia nigra, has no disease-modifying therapy. Mesenchymal stem cell (MSC) therapy has shown great promise as a disease-modifying solution for PD. Induced pluripotent stem cell-derived MSC (iMSC) not only has stronger neural repair function, but also helps solve the problem of MSC heterogeneity.

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Article Synopsis
  • Researchers examined metabolomic biomarkers as potential indicators of residual risk in patients with coronary atherosclerotic disease (CAD) undergoing moderate lipid-lowering therapy.
  • The study involved 2560 patients, analyzing their serum metabolomic profiles, linking specific metabolites to CAD severity measured by Gensini score and cardiac troponin T levels.
  • Key findings showed that certain metabolites, particularly triglycerides and apolipoprotein B, had stronger associations with CAD severity than traditional cholesterol markers, and a metabolomic index related to CAD severity was linked to a significantly higher risk of adverse cardiac events during follow-up.
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Background: The Cumberland Ankle Instability Tool (CAIT) is used to screen patients with chronic ankle instability (CAI) and to quantify the severity of ankle instability. Neuromuscular deficits are common in CAI, including proprioception, strength, and balance issues. The relationship between CAIT scores and neuromuscular factors is unclear.

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Context: Estrogen receptor α (ERα) is a key regulator of reproductive function, particularly in ovarian development and function, yet the specifics of its role at the molecular level remain unclear.

Aims: The study aims to elucidate the molecular mechanisms of ERα-regulated transcriptional dynamics in ovarian cells using ERα knockout (αERKO) mice created via CRISPR/Cas9.

Methods: Single-cell RNA sequencing (scRNA-seq) was used to compare transcriptomes from individual ovarian cells in both wild type and αERKO mice.

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The role of circulating metabolome in cognitive impairment is inconclusive, and whether the associations are in the severity-dependent manner remains unclear. We aimed to identify plasma metabolites associated with cognitive impairment and evaluate the added predictive capacity of metabolite biomarkers on incident cognitive impairment beyond traditional risk factors. In the Rugao Longevity and Ageing Study (RuLAS), plasma metabolome was profiled by nuclear magnetic resonance spectroscopy.

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Many chiral carboxylic acids with α-amino, α-hydroxyl, and α-methyl groups are concurrently present in mammals establishing unique molecular phenotypes and multiple biological functions, especially host-microbiota symbiotic interactions. Their chirality-resolved simultaneous quantification is essential to reveal the biochemical details of physiology and pathophysiology, though challenging with their low abundances in some biological matrices and difficulty in enantiomer resolution. Here, we developed a method of the chirality-resolved metabolomics with sensitivity-enhanced quantitation via probe-promotion (Met-SeqPro) for analyzing these chiral carboxylic acids.

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Article Synopsis
  • Metabolic dysfunction-associated steatohepatitis (MASH) significantly increases liver-related mortality, and a new prediction score derived from metabolites was developed to better identify individuals at risk for both MASH and mortality.
  • The score was created using a machine learning approach, analyzing various clinical parameters and plasma metabolites in Chinese adults, and validated in Finnish cohorts, showing strong predictive accuracy for MASH.
  • Participants identified at high or intermediate risk of MASH had significantly elevated mortality risks associated with the condition, indicating that the new score outperforms existing methods in predicting related outcomes across diverse populations.
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  • The study explores how different gut microbiota, or "enterotypes," affect blood glucose responses to whole grain rye in Chinese adults, with a focus on identifying a model linking enterotypes to metabolic outcomes.
  • Conducted over 12 weeks, the trial involved 156 participants consuming either fermented rye bran or refined wheat, revealing that those who responded positively to rye had different gut microbiota profiles compared to non-responders.
  • The findings emphasize the role of gut microbiota in nutrition interventions, suggesting that understanding these enterotypes can enhance the effectiveness of whole grain rye in lowering blood glucose levels and potentially preventing type 2 diabetes.
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Frailty, a multidimensional indicator of suboptimal aging, reflects cumulative declines across multiple physiological systems. Although age-related changes have been reported in gut microbiota, their role in healthy aging remains unclear. In this study, we calculated frailty index (FI) from 33 health-related items to reflect the overall health status of 1,821 older adults (62-96 years, 55% female) and conducted multi-omics analysis using gut metagenomic sequencing data and plasma metabolomic data.

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Objective: Improved understanding of metabolic obesity phenotypes holds great promise for personalized strategies to combat obesity and its co-morbidities. Such investigation is however lacking in Tibetans with unique living environments and lifestyle in the highlands. Effects of altitude on heterogeneous metabolic obesity phenotypes remain unexplored.

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The low-carbohydrate ketogenic diet (KD) has long been practiced for weight loss, but the underlying mechanisms remain elusive. Gut microbiota and metabolites have been suggested to mediate the metabolic changes caused by KD consumption, although the particular gut microbes or metabolites involved are unclear. Here, we show that KD consumption enhances serum levels of taurodeoxycholic acid (TDCA) and tauroursodeoxycholic acid (TUDCA) in mice to decrease body weight and fasting glucose levels.

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Macrophages are critical to turn noninflamed "cold tumors" into inflamed "hot tumors". Emerging evidence indicates abnormal cholesterol metabolites in the tumor microenvironment (TME) with unclear function. Here, we uncovered the inducible expression of cholesterol-25-hydroxylase (Ch25h) by interleukin-4 (IL-4) and interleukin-13 (IL-13) via the transcription factor STAT6, causing 25-hydroxycholesterol (25HC) accumulation.

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Unlabelled: Cardiovascular health metrics are now widely recognized as modifiable risk factors for cognitive decline and dementia. Metabolic perturbations might play roles in the linkage of cardiovascular diseases and dementia. Circulating metabolites profiling by metabolomics may improve understanding of the potential mechanism by which cardiovascular risk factors contribute to cognitive decline.

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Efficient quantification of fatty-acid (FA) composition (fatty-acidome) in biological samples is crucial for understanding physiology and pathophysiology in large population cohorts. Here, we report a rapid GC-FID/MS method for simultaneous quantification of all FAs in numerous biological matrices. Within eight minutes, this method enabled simultaneous quantification of 50 FAs as fatty-acid methyl esters (FAMEs) in femtomole levels following the efficient transformation of FAs in all lipids including FFAs, cholesterol-esters, glycerides, phospholipids and sphingolipids.

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Background: The relationship between circulating bile acids (BAs) and kidney function among patients with type 2 diabetes is unclear. We aimed to investigate the associations of circulating concentrations of BAs, particularly individual BA subtypes, with chronic kidney disease (CKD) in patients of newly diagnosed type 2 diabetes.

Methods: In this cross-sectional study, we included 1234 newly diagnosed type 2 diabetes who participated in an ongoing prospective study, the Dongfeng-Tongji cohort.

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Acylcarnitines are metabolic intermediates of fatty acids and branched-chain amino acids having vital biofunctions and pathophysiological significances. Here, we developed a high-throughput method for quantifying hundreds of acylcarnitines in one run using ultrahigh performance liquid chromatography and tandem mass spectrometry (UPLC-MS/MS). This enabled simultaneous quantification of 1136 acylcarnitines (C0-C26) within 10-min with good sensitivity (limit of detection < 0.

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Background: Secondary bile acids (SBAs), the products of bacterial metabolism, are ligands of the nuclear farnesoid X receptor (FXR) and have been implicated in cardiovascular health. Diet can modulate gut microbiota composition and bile acid metabolism.

Objectives: We aimed to examine the associations of circulating SBAs and their receptor polymorphisms with the risk of incident cardiovascular disease (CVD) among people with type 2 diabetes (T2D).

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The extra copy of the methyl-CpG-binding protein 2 (MeCp2) gene causes MeCP2 duplication syndrome (MDS), a neurodevelopmental disorder characterized by intellectual disability and autistic phenotypes. However, the disturbed microbiome and metabolic profiling underlying the autistic-like behavioral deficits of MDS are rarely investigated. Here we aimed to understand the contributions of microbiome disruption and associated metabolic alterations, especially the disturbed neurotransmitters in MDS employing a transgenic mouse model with MeCP2 overexpression.

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Introduction: Previous lipidomics studies have identified various lipid predictors for cardiovascular risk, however, with limited predictive increment, sometimes using too many predictor variables at the expense of practical efficiency.

Objectives: To search for lipid predictors of future coronary heart disease (CHD) with stronger predictive power and efficiency to guide primary intervention.

Methods: We conducted a prospective nested case-control study involving 1,621 incident CHD cases and 1:1 matched controls.

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Strategies for patient stratification and early intervention are required to improve clinical benefits for patients with prostate cancer. Here, we found that active DHEA utilization in the prostate gland correlated with tumor aggressiveness at early disease stages, and 3βHSD1 inhibitors were promising for early intervention. [3H]-labeled DHEA consumption was traced in fresh prostatic biopsies ex vivo.

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Amino compounds are widely present in complex mixtures in chemistry, biology, medicine, food, and environmental sciences involving drug impurities and metabolisms of proteins, biogenic amines, neurotransmitters, and pyrimidine in biological systems. Nuclear magnetic resonance (NMR) spectroscopy is an excellent tool for simultaneously identifying and quantifying these in-mixture compounds but has a limit-of-detection (LOD) over several micromolarities (>5 μM). To break such a sensitivity barrier, we developed a sensitive and rapid method by combining the probe-induced sensitivity enhancement and nonuniform-sampling-based H-C HSQC 2D-NMR (PRISE-NUS-HSQC).

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