7 research outputs found
Multiple Univariate Data Analysis Reveals the Inulin Effects on the High-Fat-Diet Induced Metabolic Alterations in Rat Myocardium and Testicles in the Preobesity State
Obesity
is a worldwide epidemic and a well-known risk factor for
many diseases affecting billions of people’s health and well-being.
However, little information is available for metabolic changes associated
with the effects of obesity development and interventions on cardiovascular
and reproduction systems. Here, we systematically analyzed the effects
of high-fat diet (HFD) and inulin intake on the metabolite compositions
of myocardium and testicle using NMR spectroscopy. We developed a
useful high-throughput method based on multiple univariate data analysis
(MUDA) to visualize and efficiently extract information on metabolites
significantly affected by an intervention. We found that HFD caused
widespread metabolic changes in both rat myocardium and testicles
involving fatty acid β-oxidation together with the metabolisms
of choline, amino acids, purines and pyrimidines even before HFD caused
significant body-weight increases. Inulin intake ameliorated some
of the HFD-induced metabolic changes in both myocardium (3-HB, lactate
and guanosine) and testicle tissues (3-HB, inosine and betaine). A
remarkable elevation of <i>scyllo</i>-inositol was also
observable with inulin intake in both tissues. These findings offered
essential information for the inulin effects on the HFD-induced metabolic
changes and demonstrated this MUDA method as a powerful alternative
to traditionally used multivariate data analysis for metabonomics
Antagonist of Prostaglandin E<sub>2</sub> Receptor 4 Induces Metabolic Alterations in Liver of Mice
Prostaglandin E<sub>2</sub> receptor 4 (EP4) is one of the receptors
for prostaglandin E<sub>2</sub> and plays important roles in various
biological functions. EP4 antagonists have been used as anti-inflammatory
drugs. To investigate the effects of an EP4 antagonist (L-161982)
on the endogenous metabolism in a holistic manner, we employed a mouse
model, and obtained metabolic and transcriptomic profiles of multiple
biological matrixes, including serum, liver, and urine of mice with
and without EP4 antagonist (L-161982) exposure. We found that this
EP4 antagonist caused significant changes in fatty acid metabolism,
choline metabolism, and nucleotide metabolism. EP4 antagonist exposure
also induced oxidative stress to mice. Our research is the first of
its kind to report information on the alteration of metabolism associated
with an EP4 antagonist. This information could further our understanding
of current and new biological functions of EP4
Antagonist of Prostaglandin E<sub>2</sub> Receptor 4 Induces Metabolic Alterations in Liver of Mice
Prostaglandin E<sub>2</sub> receptor 4 (EP4) is one of the receptors
for prostaglandin E<sub>2</sub> and plays important roles in various
biological functions. EP4 antagonists have been used as anti-inflammatory
drugs. To investigate the effects of an EP4 antagonist (L-161982)
on the endogenous metabolism in a holistic manner, we employed a mouse
model, and obtained metabolic and transcriptomic profiles of multiple
biological matrixes, including serum, liver, and urine of mice with
and without EP4 antagonist (L-161982) exposure. We found that this
EP4 antagonist caused significant changes in fatty acid metabolism,
choline metabolism, and nucleotide metabolism. EP4 antagonist exposure
also induced oxidative stress to mice. Our research is the first of
its kind to report information on the alteration of metabolism associated
with an EP4 antagonist. This information could further our understanding
of current and new biological functions of EP4
Antagonist of Prostaglandin E<sub>2</sub> Receptor 4 Induces Metabolic Alterations in Liver of Mice
Prostaglandin E<sub>2</sub> receptor 4 (EP4) is one of the receptors
for prostaglandin E<sub>2</sub> and plays important roles in various
biological functions. EP4 antagonists have been used as anti-inflammatory
drugs. To investigate the effects of an EP4 antagonist (L-161982)
on the endogenous metabolism in a holistic manner, we employed a mouse
model, and obtained metabolic and transcriptomic profiles of multiple
biological matrixes, including serum, liver, and urine of mice with
and without EP4 antagonist (L-161982) exposure. We found that this
EP4 antagonist caused significant changes in fatty acid metabolism,
choline metabolism, and nucleotide metabolism. EP4 antagonist exposure
also induced oxidative stress to mice. Our research is the first of
its kind to report information on the alteration of metabolism associated
with an EP4 antagonist. This information could further our understanding
of current and new biological functions of EP4
Combined NMR and GC–MS Analyses Revealed Dynamic Metabolic Changes Associated with the Carrageenan-Induced Rat Pleurisy
Inflammation
is closely associated with pathogenesis of various
metabolic disorders, cardiovascular diseases, and cancers. To understand
the systems responses to localized inflammation, we analyzed the dynamic
metabolic changes in rat plasma and urine associated with the carrageenan-induced
self-limiting pleurisy using NMR spectroscopy in conjunction with
multivariate data analysis. Fatty acids in plasma were also analyzed
using GC–FID/MS with the data from clinical chemistry and histopathology
as complementary information. We found that in the acute phase of
inflammation rats with pleurisy had significantly lower levels in
serum albumin, fatty acids, and lipoproteins but higher globulin level
and larger quantity of pleural exudate than controls. The carrageenan-induced
inflammation was accompanied by significant metabolic alterations
involving TCA cycle, glycolysis, biosyntheses of acute phase proteins,
and metabolisms of amino acids, fatty acids, ketone bodies, and choline
in acute phase. The resolution process of pleurisy was heterogeneous,
and two subgroups were observed for the inflammatory rats at day-6
post treatment with different metabolic features together with the
quantity of pleural exudate and weights of thymus and spleen. The
metabolic differences between these subgroups were reflected in the
levels of albumin and acute-phase proteins, the degree of returning
to normality for multiple metabolic pathways including glycolysis,
TCA cycle, gut microbiota functions, and metabolisms of lipids, choline
and vitamin B<sub>3</sub>. These findings provided some essential
details for the dynamic metabolic changes associated with the carrageenan-induced
self-limiting inflammation and demonstrated the combined NMR and GC–FID/MS
analysis as a powerful approach for understanding biochemical aspects
of inflammation
Streptozotocin-Induced Dynamic Metabonomic Changes in Rat Biofluids
Diabetes mellitus is a complex polygenic disease caused
by gene-environment
interactions with multiple complications, and metabonomic analysis
is crucial for pathogenesis, early diagnosis, and timely interventions.
Here, we comprehensively analyzed the dynamic metabolic changes in
rat urine and plasma, which were induced by the well-known diabetogenic
chemical streptozotocin (STZ), using <sup>1</sup>H NMR spectroscopy
in conjunction with multivariate data analysis. The results showed
that a single intraperitoneal injection of STZ with a moderate dosage
(55 mg/kg) induced significant urinary metabonomic changes within
24 h. These changes showed time-dependence and heterogeneity among
the treated animals with an animal recovered within 11 days. STZ-induced
metabonomic alterations were related to suppression of glycolysis
and TCA cycle, promotion of gluconeogenesis and oxidation of amino
acids, alterations in metabolisms of basic amino acids associated
with diabetic complications, and disruption of lipid metabolism and
gut microbiota functions. With diffusion-edited NMR spectral data,
we further observed the STZ-induced significant elevation of monounsaturated
fatty acids and total unsaturated fatty acids together with reductions
in PUFA-to-MUFA ratio in the blood plasma. These findings provided
details of the time-dependent metabonomic changes in the progressive
development of the STZ-induced diabetes mellitus and showed the possibility
of detecting the biochemical changes in the early stage of type 1
diabetic genesis
High-Fat Diet Induces Dynamic Metabolic Alterations in Multiple Biological Matrices of Rats
Obesity
is a condition resulting from the interactions of individual
biology and environmental factors causing multiple complications.
To understand the system’s metabolic changes associated with
the obesity development and progression, we systematically analyzed
the dynamic metabonomic changes induced by a high-fat diet (HFD) in
multiple biological matrices of rats using NMR and GC-FID/MS techniques.
Clinical chemistry and histopathological data were obtained as complementary
information. We found that HFD intakes caused systematic metabolic
changes in blood plasma, liver, and urine samples involving multiple
metabolic pathways including glycolysis, TCA cycle, and gut microbiota
functions together with the metabolisms of fatty acids, amino acids,
choline, B-vitamins, purines, and pyrimidines. The HFD-induced metabolic
variations were detectable in rat urine a week after HFD intake and
showed clear dependence on the intake duration. B-vitamins and gut
microbiota played important roles in the obesity development and progression
together with changes in TCA cycle intermediates (citrate, α-ketoglutarate,
succinate, and fumarate). 83-day HFD intakes caused significant metabolic
alterations in rat liver highlighted with the enhancements in lipogenesis,
lipid accumulation and lipid oxidation, suppression of glycolysis,
up-regulation of gluconeogenesis and glycogenesis together with altered
metabolisms of choline, amino acids and nucleotides. HFD intakes reduced
the PUFA-to-MUFA ratio in both plasma and liver, indicating the HFD-induced
oxidative stress. These findings provided essential biochemistry information
about the dynamic metabolic responses to the development and progression
of HFD-induced obesity. This study also demonstrated the combined
metabonomic analysis of multiple biological matrices as a powerful
approach for understanding the molecular basis of pathogenesis and
disease progression