Cargando…

Noninvasive NMR/MRS Metabolic Parameters to Evaluate Metabolic Syndrome in Rats

(1) Background: Ectopic fat deposition and its effects, metabolic syndrome, have been significantly correlated to lifestyle and caloric consumption. There is no specific noninvasive evaluation tool being used in order to establish clinical markers for tracing the metabolic pathway implicated in obes...

Descripción completa

Detalles Bibliográficos
Autores principales: Htun, Khin Thandar, Jaikumkao, Krit, Pan, Jie, Moe Moe, Aye Thidar, Intachai, Nuttawadee, Promsan, Sasivimon, Lungkaphin, Anusorn, Tapanya, Monruedee, Pasanta, Duanghathai, Tungjai, Montree, Kaewjaeng, Siriprapa, Kim, Hong Joo, Kaewkhao, Jakrapong, Lai, Christopher, Kothan, Suchart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323612/
https://www.ncbi.nlm.nih.gov/pubmed/35885526
http://dx.doi.org/10.3390/diagnostics12071621
_version_ 1784756594519572480
author Htun, Khin Thandar
Jaikumkao, Krit
Pan, Jie
Moe Moe, Aye Thidar
Intachai, Nuttawadee
Promsan, Sasivimon
Lungkaphin, Anusorn
Tapanya, Monruedee
Pasanta, Duanghathai
Tungjai, Montree
Kaewjaeng, Siriprapa
Kim, Hong Joo
Kaewkhao, Jakrapong
Lai, Christopher
Kothan, Suchart
author_facet Htun, Khin Thandar
Jaikumkao, Krit
Pan, Jie
Moe Moe, Aye Thidar
Intachai, Nuttawadee
Promsan, Sasivimon
Lungkaphin, Anusorn
Tapanya, Monruedee
Pasanta, Duanghathai
Tungjai, Montree
Kaewjaeng, Siriprapa
Kim, Hong Joo
Kaewkhao, Jakrapong
Lai, Christopher
Kothan, Suchart
author_sort Htun, Khin Thandar
collection PubMed
description (1) Background: Ectopic fat deposition and its effects, metabolic syndrome, have been significantly correlated to lifestyle and caloric consumption. There is no specific noninvasive evaluation tool being used in order to establish clinical markers for tracing the metabolic pathway implicated in obesity-related abnormalities that occur in the body as a result of a high-fat diet (HFD). The purpose of this work is to investigate in vivo ectopic fat distribution and in vitro metabolite profiles given by HFDs, as well as how they are inter-related, in order to find surrogate metabolic biomarkers in the development of metabolic syndrome utilizing noninvasive approaches. (2) Methods: Male Wistar rats were divided into a standard normal chow diet, ND group, and HFD group. After 16 weeks of different diet administration, blood samples were collected for proton nuclear magnetic resonance ((1)H NMR) and biochemical analysis. Magnetic resonance imaging/proton magnetic resonance spectroscopy (MRI/(1)H MRS) was performed on the abdomen, liver, and psoas muscle of the rats. (3) Results: Visceral fat showed the strongest relationship with blood cholesterol. Although liver fat content (LFC) was not associated with any biophysical profiles, it had the highest correlation with metabolites such as (-CH(2))(n) very-low-density lipoprotein/low-density lipoprotein (VLDL/LDL), lactate, and N-acetyl glycoprotein of serum (1)H NMR. HFD showed no obvious influence on muscle fat accumulation. Acetoacetate, N-acetyl glycoprotein, lactate, (-CH(2))(n) VLDL/LDL, and valine were the five possible metabolic biomarkers used to differentiate HFD from ND in the present study. (4) Conclusions: Our study has validated the influence of long-term HFD-induced ectopic fat on body metabolism as well as the metabolic profile deterioration both in vivo and in vitro.
format Online
Article
Text
id pubmed-9323612
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-93236122022-07-27 Noninvasive NMR/MRS Metabolic Parameters to Evaluate Metabolic Syndrome in Rats Htun, Khin Thandar Jaikumkao, Krit Pan, Jie Moe Moe, Aye Thidar Intachai, Nuttawadee Promsan, Sasivimon Lungkaphin, Anusorn Tapanya, Monruedee Pasanta, Duanghathai Tungjai, Montree Kaewjaeng, Siriprapa Kim, Hong Joo Kaewkhao, Jakrapong Lai, Christopher Kothan, Suchart Diagnostics (Basel) Article (1) Background: Ectopic fat deposition and its effects, metabolic syndrome, have been significantly correlated to lifestyle and caloric consumption. There is no specific noninvasive evaluation tool being used in order to establish clinical markers for tracing the metabolic pathway implicated in obesity-related abnormalities that occur in the body as a result of a high-fat diet (HFD). The purpose of this work is to investigate in vivo ectopic fat distribution and in vitro metabolite profiles given by HFDs, as well as how they are inter-related, in order to find surrogate metabolic biomarkers in the development of metabolic syndrome utilizing noninvasive approaches. (2) Methods: Male Wistar rats were divided into a standard normal chow diet, ND group, and HFD group. After 16 weeks of different diet administration, blood samples were collected for proton nuclear magnetic resonance ((1)H NMR) and biochemical analysis. Magnetic resonance imaging/proton magnetic resonance spectroscopy (MRI/(1)H MRS) was performed on the abdomen, liver, and psoas muscle of the rats. (3) Results: Visceral fat showed the strongest relationship with blood cholesterol. Although liver fat content (LFC) was not associated with any biophysical profiles, it had the highest correlation with metabolites such as (-CH(2))(n) very-low-density lipoprotein/low-density lipoprotein (VLDL/LDL), lactate, and N-acetyl glycoprotein of serum (1)H NMR. HFD showed no obvious influence on muscle fat accumulation. Acetoacetate, N-acetyl glycoprotein, lactate, (-CH(2))(n) VLDL/LDL, and valine were the five possible metabolic biomarkers used to differentiate HFD from ND in the present study. (4) Conclusions: Our study has validated the influence of long-term HFD-induced ectopic fat on body metabolism as well as the metabolic profile deterioration both in vivo and in vitro. MDPI 2022-07-04 /pmc/articles/PMC9323612/ /pubmed/35885526 http://dx.doi.org/10.3390/diagnostics12071621 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Htun, Khin Thandar
Jaikumkao, Krit
Pan, Jie
Moe Moe, Aye Thidar
Intachai, Nuttawadee
Promsan, Sasivimon
Lungkaphin, Anusorn
Tapanya, Monruedee
Pasanta, Duanghathai
Tungjai, Montree
Kaewjaeng, Siriprapa
Kim, Hong Joo
Kaewkhao, Jakrapong
Lai, Christopher
Kothan, Suchart
Noninvasive NMR/MRS Metabolic Parameters to Evaluate Metabolic Syndrome in Rats
title Noninvasive NMR/MRS Metabolic Parameters to Evaluate Metabolic Syndrome in Rats
title_full Noninvasive NMR/MRS Metabolic Parameters to Evaluate Metabolic Syndrome in Rats
title_fullStr Noninvasive NMR/MRS Metabolic Parameters to Evaluate Metabolic Syndrome in Rats
title_full_unstemmed Noninvasive NMR/MRS Metabolic Parameters to Evaluate Metabolic Syndrome in Rats
title_short Noninvasive NMR/MRS Metabolic Parameters to Evaluate Metabolic Syndrome in Rats
title_sort noninvasive nmr/mrs metabolic parameters to evaluate metabolic syndrome in rats
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323612/
https://www.ncbi.nlm.nih.gov/pubmed/35885526
http://dx.doi.org/10.3390/diagnostics12071621
work_keys_str_mv AT htunkhinthandar noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT jaikumkaokrit noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT panjie noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT moemoeayethidar noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT intachainuttawadee noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT promsansasivimon noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT lungkaphinanusorn noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT tapanyamonruedee noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT pasantaduanghathai noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT tungjaimontree noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT kaewjaengsiriprapa noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT kimhongjoo noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT kaewkhaojakrapong noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT laichristopher noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats
AT kothansuchart noninvasivenmrmrsmetabolicparameterstoevaluatemetabolicsyndromeinrats