Skip to main content

Advertisement

Log in

Is the clinical lipidomics a potential goldmine?

  • Short Communication
  • Published:
Cell Biology and Toxicology Aims and scope Submit manuscript

A Correction to this article was published on 29 August 2019

This article has been updated

Abstract

Clinical lipidomics is a new extension of lipidomics to study lipid profiles, pathways, and networks by characterizing and quantifying the complete lipid molecules in cells, biopsy, or body fluids of patients. It undoubtfully has more values if lipidomics can be integrated with the data of clinical proteomic, genomic, and phenomic profiles. A number of challenges, e.g., instability, specificity, and sensitivity, in lipidomics have to be faced and overcome before clinical application. The association of lipidomics data with gene expression and sequencing of lipid-specific proteins/enzymes should be furthermore clarified. Therefore, clinical lipidomics is expected to be more stable during handling, sensitive in response to changes, specific for diseases, efficient in data analyses, and standardized in measurements, in order to meet clinical needs. Clinical lipidomics will become a more important approach in clinical applications and will be the part of “natural” measures for early diagnosis and progress of disease. Thus, clinical lipidomics will be one of the most powerful approaches for disease-specific diagnosis and therapy, once the mystery of lipidomic profiles and metabolic enzymes is deciphered.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Change history

  • 29 August 2019

    The article Is the clinical lipidomics a potential goldmine?, written by Linlin Zhang, Xianlin Han and Xiangdong Wang, was originally published electronically on the publisher���s internet portal (currently SpringerLink) on 21 July 2018 with open access. With the author(s)��� decision to step

References

  • Han X. Lipidomics for studying metabolism. Nat Rev Endocrinol. 2016;12(11):668–79.

    Article  CAS  PubMed  Google Scholar 

  • Kim WS, Jary E, Pickford R, He Y, Ahmed RM, Piguet O, et al. Lipidomics analysis of behavioral variant frontotemporal dementia: a scope for biomarker development. Front Neurol. 2018;28(9):104.

    Article  Google Scholar 

  • Lv J, Zhang L, Yan F, Wang X. Clinical lipidomics: a new way to diagnose human diseases. Clin Transl Med. 2018;7(1):12.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lv J, Gao D, Zhang Y, Wu D, Shen L, Wang X. Heterogeneity of lipidomic profiles among lung cancer subtypes of patients. J Cell Mol Med. 2018. https://doi.org/10.1111/JCMM.13782.

  • Postle AD. Lipidomics. Curr Opin Clin Nutr Metab Care. 2012;15(2):127–33.

    CAS  PubMed  Google Scholar 

  • Vaz FM, Pras-Raves M, Bootsma AH, van Kampen AH. Principles and practice of lipidomics. J Inherit Metab Dis. 2015;38(1):41–52.

    Article  CAS  PubMed  Google Scholar 

  • Wang X. New biomarkers and therapeutics can be discovered during COPD-lung cancer transition. Cell Biol Toxicol. 2016;32(5):359–61.

    Article  PubMed  Google Scholar 

  • Wang X. Clinical trans-omics: an integration of clinical phenomes with molecular multiomics. Cell Biol Toxicol. 2018;34(3):163–6.

    Article  CAS  PubMed  Google Scholar 

  • Xu M, Wang X. Critical roles of mucin-1 in sensitivity of lung cancer cells to tumor necrosis factor-alpha and dexamethasone. Cell Biol Toxicol. 2017;33(4):361–71.

    Article  CAS  PubMed  Google Scholar 

  • Yang K, Han X. Lipidomics: techniques, applications, and outcomes related to biomedical sciences. Trends Biochem Sci. 2016;41(11):954–69.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Yang L, Li M, Shan Y, Shen S, Bai Y, Liu H. Recent advances in lipidomics for disease research. J Sep Sci. 2016;39(1):38–50.

    Article  CAS  PubMed  Google Scholar 

  • Zhu Z, Qiu S, Shao K, Hou Y. Progress and challenges of sequencing and analyzing circulating tumor cells. Cell Biol Toxicol. 2017; 22.

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Xianlin Han or Xiangdong Wang.

Additional information

The original version of this article was revised due to a retrospective Open Access cancellation.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, L., Han, X. & Wang, X. Is the clinical lipidomics a potential goldmine?. Cell Biol Toxicol 34, 421–423 (2018). https://doi.org/10.1007/s10565-018-9441-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10565-018-9441-1

Keywords

Navigation