Novel biomarkers of hyperlipidemic acute pancreatitis

Metabolomic identification

Yan Zhao, Wei Jia, Mingming Su, Yunping Qiu, Xingpeng Wang

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: Recognition of hypertriglyceridemia is critical for the diagnosis of hyperlipidemic pancreatitis (HLP) and the selection and evaluation of therapy. Objective: Investigate metabolic profiling technologies for identifying novel biomarkers and pathways activated in HLP. Methods: Blood and urine samples were obtained from 24 patients and 39 healthy people. A gas chromatography and mass spectrometry was employed to study the metabolic profile in HLP and healthy groups. Functional pathway trend analysis using multivariate statistical analysis was performed. Results: HLP patients could be precisely distinguished from the healthy controls. In the patient, levels of aconitate, citrate, hippurate, p-hydroxyphenylacetate and p-hydroxyphenylpopionic acid were decreased, while levels of tryptophan, tyrosine, tyramine,16-hexadecanoic acid, and 18-octadecanoic acid were increased. The change of energy metabolism-related mechanisms, fatty acid metabolism, gut microbiota metabolism, and metabolism of tyrosine could be used to distinguish HLP patients. Conclusions: Novel biomarkers could be identified by application of metabolomics. Metabolic profiling was useful for studies of pathogenesis of HLP.

Original languageEnglish (US)
Pages (from-to)765-769
Number of pages5
JournalAsian Biomedicine
Volume6
Issue number5
DOIs
StatePublished - Oct 2012
Externally publishedYes

Fingerprint

Metabolomics
Biomarkers
Metabolism
Pancreatitis
Tyrosine
Aconitic Acid
Tyramine
Palmitic Acid
Citric Acid
Tryptophan
Gas chromatography
Mass spectrometry
Statistical methods
Blood
Fatty Acids
Acids
Metabolome
Hypertriglyceridemia
Gas Chromatography-Mass Spectrometry
Energy Metabolism

Keywords

  • Blood
  • Hyperlipidemic pancreatitis
  • Metabolism
  • Urine

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Novel biomarkers of hyperlipidemic acute pancreatitis : Metabolomic identification. / Zhao, Yan; Jia, Wei; Su, Mingming; Qiu, Yunping; Wang, Xingpeng.

In: Asian Biomedicine, Vol. 6, No. 5, 10.2012, p. 765-769.

Research output: Contribution to journalArticle

Zhao, Yan ; Jia, Wei ; Su, Mingming ; Qiu, Yunping ; Wang, Xingpeng. / Novel biomarkers of hyperlipidemic acute pancreatitis : Metabolomic identification. In: Asian Biomedicine. 2012 ; Vol. 6, No. 5. pp. 765-769.
@article{7007e262757b4b7f9a1eaa5c68426d76,
title = "Novel biomarkers of hyperlipidemic acute pancreatitis: Metabolomic identification",
abstract = "Background: Recognition of hypertriglyceridemia is critical for the diagnosis of hyperlipidemic pancreatitis (HLP) and the selection and evaluation of therapy. Objective: Investigate metabolic profiling technologies for identifying novel biomarkers and pathways activated in HLP. Methods: Blood and urine samples were obtained from 24 patients and 39 healthy people. A gas chromatography and mass spectrometry was employed to study the metabolic profile in HLP and healthy groups. Functional pathway trend analysis using multivariate statistical analysis was performed. Results: HLP patients could be precisely distinguished from the healthy controls. In the patient, levels of aconitate, citrate, hippurate, p-hydroxyphenylacetate and p-hydroxyphenylpopionic acid were decreased, while levels of tryptophan, tyrosine, tyramine,16-hexadecanoic acid, and 18-octadecanoic acid were increased. The change of energy metabolism-related mechanisms, fatty acid metabolism, gut microbiota metabolism, and metabolism of tyrosine could be used to distinguish HLP patients. Conclusions: Novel biomarkers could be identified by application of metabolomics. Metabolic profiling was useful for studies of pathogenesis of HLP.",
keywords = "Blood, Hyperlipidemic pancreatitis, Metabolism, Urine",
author = "Yan Zhao and Wei Jia and Mingming Su and Yunping Qiu and Xingpeng Wang",
year = "2012",
month = "10",
doi = "10.5372/1905-7415.0605.119",
language = "English (US)",
volume = "6",
pages = "765--769",
journal = "Asian Biomedicine",
issn = "1905-7415",
publisher = "IOS Press",
number = "5",

}

TY - JOUR

T1 - Novel biomarkers of hyperlipidemic acute pancreatitis

T2 - Metabolomic identification

AU - Zhao, Yan

AU - Jia, Wei

AU - Su, Mingming

AU - Qiu, Yunping

AU - Wang, Xingpeng

PY - 2012/10

Y1 - 2012/10

N2 - Background: Recognition of hypertriglyceridemia is critical for the diagnosis of hyperlipidemic pancreatitis (HLP) and the selection and evaluation of therapy. Objective: Investigate metabolic profiling technologies for identifying novel biomarkers and pathways activated in HLP. Methods: Blood and urine samples were obtained from 24 patients and 39 healthy people. A gas chromatography and mass spectrometry was employed to study the metabolic profile in HLP and healthy groups. Functional pathway trend analysis using multivariate statistical analysis was performed. Results: HLP patients could be precisely distinguished from the healthy controls. In the patient, levels of aconitate, citrate, hippurate, p-hydroxyphenylacetate and p-hydroxyphenylpopionic acid were decreased, while levels of tryptophan, tyrosine, tyramine,16-hexadecanoic acid, and 18-octadecanoic acid were increased. The change of energy metabolism-related mechanisms, fatty acid metabolism, gut microbiota metabolism, and metabolism of tyrosine could be used to distinguish HLP patients. Conclusions: Novel biomarkers could be identified by application of metabolomics. Metabolic profiling was useful for studies of pathogenesis of HLP.

AB - Background: Recognition of hypertriglyceridemia is critical for the diagnosis of hyperlipidemic pancreatitis (HLP) and the selection and evaluation of therapy. Objective: Investigate metabolic profiling technologies for identifying novel biomarkers and pathways activated in HLP. Methods: Blood and urine samples were obtained from 24 patients and 39 healthy people. A gas chromatography and mass spectrometry was employed to study the metabolic profile in HLP and healthy groups. Functional pathway trend analysis using multivariate statistical analysis was performed. Results: HLP patients could be precisely distinguished from the healthy controls. In the patient, levels of aconitate, citrate, hippurate, p-hydroxyphenylacetate and p-hydroxyphenylpopionic acid were decreased, while levels of tryptophan, tyrosine, tyramine,16-hexadecanoic acid, and 18-octadecanoic acid were increased. The change of energy metabolism-related mechanisms, fatty acid metabolism, gut microbiota metabolism, and metabolism of tyrosine could be used to distinguish HLP patients. Conclusions: Novel biomarkers could be identified by application of metabolomics. Metabolic profiling was useful for studies of pathogenesis of HLP.

KW - Blood

KW - Hyperlipidemic pancreatitis

KW - Metabolism

KW - Urine

UR - http://www.scopus.com/inward/record.url?scp=84874610222&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874610222&partnerID=8YFLogxK

U2 - 10.5372/1905-7415.0605.119

DO - 10.5372/1905-7415.0605.119

M3 - Article

VL - 6

SP - 765

EP - 769

JO - Asian Biomedicine

JF - Asian Biomedicine

SN - 1905-7415

IS - 5

ER -