Literature DB >> 31737933

MULTIOMIC PATTERNS IN BODY FLUIDS: TECHNOLOGICAL CHALLENGE WITH A GREAT POTENTIAL TO IMPLEMENT THE ADVANCED PARADIGM OF 3P MEDICINE.

Christopher Gerner1,2, Vincenzo Costigliola2,3, Olga Golubnitschaja2,4,5,6.   

Abstract

Liquid biopsy (LB) is defined as a sample of any of body fluids (blood, saliva, tear fluid, urine, sweat, amniotic, cerebrospinal and pleural fluids, cervicovaginal secretion, and wound efflux, amongst others), which can be ex vivo analysed to detect and quantity the target(s) of interest. LB represents diagnostic approach relevant for organ-specific changes and systemic health conditions including both manifested diseases and their prestages such as suboptimal health. Further, experts emphasise that DNA-based analysis alone does not provide sufficient information for optimal diagnostics and effective treatments. Consequently, of great scientific and clinical utility are molecular patterns detected by hybrid technologies such as metabolomic tools and molecular imaging. Future proposed strategies utilise multiomic pillars (generally genome, tanscriptome, proteome, metabolome, epigenome, radiome, and microbiome), system-biological approach, and multivariable algorithms for diagnostic, prognostic, and therapeutic purposes. Current article analyses pros and cons of the mass spectrometry-based technologies, provides eminent examples of a success story "from discovery to clinical application," and demonstrates a "road-map" for the technology-driven paradigm change from reactive to predictive, preventive and personalised medical services as the medicine of the future benefiting the patient and healthcare at large.
© 2019 The Authors. Mass Spectrometry Reviews published by John Wiley & Sons Ltd. Mass Spec Rev. © 2019 The Authors. Mass Spectrometry Reviews published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Flammer syndrome; biomarker pattern; body fluids; cancer; cardiovascular; glaucoma; individualised patient profile; innovative strategy; liquid biopsy; mass spectrometry; multiomics; phenotyping; predictive preventive personalised medicine; wound healing

Year:  2019        PMID: 31737933     DOI: 10.1002/mas.21612

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  19 in total

1.  Urinary Exosomal MicroRNAs as Potential Non-invasive Biomarkers in Breast Cancer Detection.

Authors:  Marc Hirschfeld; Gerta Rücker; Daniela Weiß; Kai Berner; Andrea Ritter; Markus Jäger; Thalia Erbes
Journal:  Mol Diagn Ther       Date:  2020-04       Impact factor: 4.074

Review 2.  Coffee Consumption and Cancer Risk: An Assessment of the Health Implications Based on Recent Knowledge.

Authors:  Ernest K J Pauwels; Duccio Volterrani
Journal:  Med Princ Pract       Date:  2021-03-24       Impact factor: 1.927

3.  Surrogate Cerebrospinal Fluid Biomarkers for Assessing the Efficacy of Gene Therapy in Hurler Syndrome.

Authors:  Reiner F Haseloff; Stephanie Trudel; Ramona Birke; Michael Schümann; Eberhard Krause; Cathy Gomila; Jean-Michel Heard; Ingolf E Blasig; Jérôme Ausseil
Journal:  Front Neurol       Date:  2021-05-13       Impact factor: 4.003

4.  Blood transcriptome profiling as potential biomarkers of suboptimal health status: potential utility of novel biomarkers for predictive, preventive, and personalized medicine strategy.

Authors:  Hao Wang; Qiuyue Tian; Jie Zhang; Hongqi Liu; Jinxia Zhang; Weijie Cao; Xiaoyu Zhang; Xingang Li; Lijuan Wu; Manshu Song; Yuanyuan Kong; Wei Wang; Youxin Wang
Journal:  EPMA J       Date:  2021-04-20       Impact factor: 8.836

5.  Metabo-tip: a metabolomics platform for lifestyle monitoring supporting the development of novel strategies in predictive, preventive and personalised medicine.

Authors:  Julia Brunmair; Andrea Bileck; Thomas Stimpfl; Florian Raible; Giorgia Del Favero; Samuel M Meier-Menches; Christopher Gerner
Journal:  EPMA J       Date:  2021-05-04       Impact factor: 6.543

Review 6.  Mining the Biomarker Potential of the Urine Peptidome: From Amino Acids Properties to Proteases.

Authors:  Fábio Trindade; António S Barros; Jéssica Silva; Antonia Vlahou; Inês Falcão-Pires; Sofia Guedes; Carla Vitorino; Rita Ferreira; Adelino Leite-Moreira; Francisco Amado; Rui Vitorino
Journal:  Int J Mol Sci       Date:  2021-05-31       Impact factor: 5.923

Review 7.  The interplay between the vaginal microbiome and innate immunity in the focus of predictive, preventive, and personalized medical approach to combat HPV-induced cervical cancer.

Authors:  Erik Kudela; Alena Liskova; Marek Samec; Lenka Koklesova; Veronika Holubekova; Tomas Rokos; Erik Kozubik; Terezia Pribulova; Kevin Zhai; Dietrich Busselberg; Peter Kubatka; Kamil Biringer
Journal:  EPMA J       Date:  2021-05-18       Impact factor: 8.836

8.  Microbial and metabolomic analysis of gingival crevicular fluid in general chronic periodontitis patients: lessons for a predictive, preventive, and personalized medical approach.

Authors:  Jun Pei; Fei Li; Youhua Xie; Jing Liu; Tian Yu; Xiping Feng
Journal:  EPMA J       Date:  2020-04-16       Impact factor: 6.543

9.  Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3 PM recommendations.

Authors:  Elisha Goldstein; Kristina Yeghiazaryan; Ashar Ahmad; Frank A Giordano; Holger Fröhlich; Olga Golubnitschaja
Journal:  EPMA J       Date:  2020-08-10       Impact factor: 6.543

10.  Label-free quantitative identification of abnormally ubiquitinated proteins as useful biomarkers for human lung squamous cell carcinomas.

Authors:  Miaolong Lu; Wei Chen; Wei Zhuang; Xianquan Zhan
Journal:  EPMA J       Date:  2020-01-04       Impact factor: 6.543

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