Literature DB >> 27836780

Oxidative stress leads to reduction of plasmalogen serving as a novel biomarker for systemic lupus erythematosus.

Changfeng Hu1, Jia Zhou1, Shasha Yang1, Haichang Li1, Chunyan Wang2, Xiaoling Fang2, Yongsheng Fan1, Jida Zhang1, Xianlin Han3, Chengping Wen4.   

Abstract

Oxidative stress is elevated in systemic lupus erythematosus (SLE) patients, and associated extensively with SLE pathogenesis. However, no common indicators of oxidative stress are yet in routine clinical use because of their instability, nonspecificity, and non-representation of all SLE symptoms. Moreover, the method for reproducible analysis of reactive oxygen species is still lacking. Lipids and their metabolites are essential components of biological systems, many of which serve as molecular targets of oxidative stress and play crucial roles in signaling, inflammation, and immune responses. Thus, determining the changed levels of lipids and their metabolites may serve the needs for SLE research. In the pilot study, shotgun lipidomics of sera from 30 SLE patients and 30 controls was performed and revealed a marked reduction of ethanolamine plasmalogen (pPE) species from 85.03±3.06 to 62.39±4.34 nmol/mL serum in controls and patients, respectively, accompanying significant increases in lysoPE (LPE) content (~46mol%) and 4-hydroxynonenal (an indictor of oxidative stress) in patients. Representative proinflammatory cytokines were also determined, revealing significant elevation of IL-6, IL-10, and TNF-α in SLE patients. Multivariate and multiple regression analyses showed for the first time that significant correlation among the SLE disease activity index, IL-10 levels, and pPE content exists, providing insights into SLE pathogenesis. The study also indicates that the changes of pPE (molecular targets of oxidative stress) and their peroxidation products may serve as novel biomarkers for diagnosis of SLE.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  4-Hydroxyalkenals; Oxidative stress; Plasmenylethanolamine; SLE pathogenesis; Shotgun lipidomics

Mesh:

Substances:

Year:  2016        PMID: 27836780     DOI: 10.1016/j.freeradbiomed.2016.11.006

Source DB:  PubMed          Journal:  Free Radic Biol Med        ISSN: 0891-5849            Impact factor:   7.376


  19 in total

1.  Cytochrome P450 2E1-deficient MRL+/+ mice are less susceptible to trichloroethene-mediated autoimmunity: Involvement of oxidative stress-responsive signaling pathways.

Authors:  Gangduo Wang; Maki Wakamiya; Jianling Wang; G A Shakeel Ansari; M Firoze Khan
Journal:  Free Radic Biol Med       Date:  2019-08-22       Impact factor: 7.376

Review 2.  Strategies to Improve/Eliminate the Limitations in Shotgun Lipidomics.

Authors:  Changfeng Hu; Qiao Duan; Xianlin Han
Journal:  Proteomics       Date:  2019-08-08       Impact factor: 3.984

3.  Novel strategies for enhancing shotgun lipidomics for comprehensive analysis of cellular lipidomes.

Authors:  Changfeng Hu; Chunyan Wang; Lijiao He; Xianlin Han
Journal:  Trends Analyt Chem       Date:  2018-11-27       Impact factor: 12.296

4.  Lipid Metabolism and Lipidomics Applications in Cancer Research.

Authors:  Meixia Pan; Chao Qin; Xianlin Han
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 5.  Lipidome Abnormalities and Cardiovascular Disease Risk in HIV Infection.

Authors:  Emily Bowman; Nicholas T Funderburg
Journal:  Curr HIV/AIDS Rep       Date:  2019-06       Impact factor: 5.071

6.  Baseline Elevations of Leukotriene Metabolites and Altered Plasmalogens Are Prognostic Biomarkers of Plaque Progression in Systemic Lupus Erythematosus.

Authors:  Sahar Baig; Kamala Vanarsa; Huihua Ding; Anto Sam Crosslee Louis Sam Titus; Maureen McMahon; Chandra Mohan
Journal:  Front Cardiovasc Med       Date:  2022-05-16

7.  Plasmalogen Loss in Sepsis and SARS-CoV-2 Infection.

Authors:  Daniel P Pike; Reagan M McGuffee; Elizabeth Geerling; Carolyn J Albert; Daniel F Hoft; Michael G S Shashaty; Nuala J Meyer; Amelia K Pinto; David A Ford
Journal:  Front Cell Dev Biol       Date:  2022-06-06

Review 8.  Biomarkers in Stress Related Diseases/Disorders: Diagnostic, Prognostic, and Therapeutic Values.

Authors:  Kuldeep Dhama; Shyma K Latheef; Maryam Dadar; Hari Abdul Samad; Ashok Munjal; Rekha Khandia; Kumaragurubaran Karthik; Ruchi Tiwari; Mohd Iqbal Yatoo; Prakash Bhatt; Sandip Chakraborty; Karam Pal Singh; Hafiz M N Iqbal; Wanpen Chaicumpa; Sunil Kumar Joshi
Journal:  Front Mol Biosci       Date:  2019-10-18

Review 9.  RECOGNITION AND AVOIDANCE OF ION SOURCE-GENERATED ARTIFACTS IN LIPIDOMICS ANALYSIS.

Authors:  Changfeng Hu; Wenqing Luo; Jie Xu; Xianlin Han
Journal:  Mass Spectrom Rev       Date:  2020-09-30       Impact factor: 10.946

Review 10.  Lipidomics unveils the complexity of the lipidome in metabolic diseases.

Authors:  Todd A Lydic; Young-Hwa Goo
Journal:  Clin Transl Med       Date:  2018-01-26
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