Literature DB >> 29990304

Personalized laboratory medicine: a patient-centered future approach.

Irena Prodan Žitnik1, Darko Černe1, Irene Mancini2, Lisa Simi2, Mario Pazzagli2, Chiara Di Resta3, Helena Podgornik4, Barbka Repič Lampret5, Katarina Trebušak Podkrajšek5,6, Csilla Sipeky7, Ron van Schaik8, Ivan Brandslund9, Pieter Vermeersch10, Matthias Schwab11,12,13, Janja Marc1.   

Abstract

In contrast to population-based medical decision making, which emphasizes the use of evidence-based treatment strategies for groups of patients, personalized medicine is based on optimizing treatment at the level of the individual patient. The creation of molecular profiles of individual patients was made possible by the advent of "omics" technologies, based on high throughput instrumental techniques in combination with biostatistics tools and artificial intelligence. The goal of personalized laboratory medicine is to use advanced technologies in the process of preventive, curative or palliative patient management. Personalized medicine does not rely on changes in concentration of a single molecular marker to make a therapeutic decision, but rather on changes of a profile of markers characterizing an individual patient's status, taking into account not only the expected response to treatment of the disease but also the expected response of the patient. Such medical approach promises a more effective diagnostics with more effective and safer treatment, as well as faster recovery and restoration of health and improved cost effectiveness. The laboratory medicine profession is aware of its key role in personalized medicine, but to empower the laboratories, at least an enhancement in cooperation between disciplines within laboratory medicine will be necessary.

Entities:  

Keywords:  advanced omics technologies; diagnostic marker; genome; metabolome; molecular profiling; proteome; transcriptome

Mesh:

Year:  2018        PMID: 29990304     DOI: 10.1515/cclm-2018-0181

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  9 in total

1.  ABCC4 single-nucleotide polymorphisms as markers of tenofovir disoproxil fumarate-induced kidney impairment.

Authors:  Stefania Cheli; Sara Baldelli; Annalisa De Silvestri; Marta Fusi; Davide Minisci; Cristina Gervasoni; Dario Cattaneo; Emilio Clementi; Paola Meraviglia; Cristina Montrasio
Journal:  Pharmacogenomics J       Date:  2021-04-13       Impact factor: 3.550

2.  Genetic testing in neurology exploiting next generation sequencing: state of art.

Authors:  Chiara Di Resta; Maurizio Ferrari
Journal:  Neural Regen Res       Date:  2020-02       Impact factor: 5.135

Review 3.  Laboratory-Based Resources for COVID-19 Diagnostics: Traditional Tools and Novel Technologies. A Perspective of Personalized Medicine.

Authors:  Boris G Andryukov; Natalya N Besednova; Tatyana A Kuznetsova; Ludmila N Fedyanina
Journal:  J Pers Med       Date:  2021-01-13

4.  Genomic Analysis of Korean Patient With Microcephaly.

Authors:  Jiwon Lee; Jong Eun Park; Chung Lee; Ah Reum Kim; Byung Joon Kim; Woong-Yang Park; Chang-Seok Ki; Jeehun Lee
Journal:  Front Genet       Date:  2021-01-28       Impact factor: 4.599

Review 5.  A New Look at Novel Cardiovascular Risk Biomarkers: The Role of Atherogenic Lipoproteins and Innovative Antidiabetic Therapies.

Authors:  Jelena Vekic; Aleksandra Zeljkovic; Khalid Al Rasadi; Mustafa Cesur; José Silva-Nunes; Anca Pantea Stoian; Manfredi Rizzo
Journal:  Metabolites       Date:  2022-01-24

6.  Identification of genes with high heterogeneity of expression as a predictor of different prognosis and therapeutic responses in colorectal cancer: a challenge and a strategy.

Authors:  Ebrahim Salehitabar; Mohammad Mahdevar; Ali Valipour Motlagh; Farzad Seyed Forootan; Sara Feizbakhshan; Dina Zohrabi; Maryam Peymani
Journal:  Cancer Cell Int       Date:  2022-09-05       Impact factor: 6.429

Review 7.  Clinlabomics: leveraging clinical laboratory data by data mining strategies.

Authors:  Xiaoxia Wen; Ping Leng; Jiasi Wang; Guishu Yang; Ruiling Zu; Xiaojiong Jia; Kaijiong Zhang; Birga Anteneh Mengesha; Jian Huang; Dongsheng Wang; Huaichao Luo
Journal:  BMC Bioinformatics       Date:  2022-09-24       Impact factor: 3.307

8.  Defining laboratory medicine: a circle cannot be squared.

Authors:  Giuseppe Lippi; Mario Plebani
Journal:  Biochem Med (Zagreb)       Date:  2021-06-15       Impact factor: 2.313

Review 9.  Current scenario of the genetic testing for rare neurological disorders exploiting next generation sequencing.

Authors:  Chiara Di Resta; Giovanni Battista Pipitone; Paola Carrera; Maurizio Ferrari
Journal:  Neural Regen Res       Date:  2021-03       Impact factor: 5.135

  9 in total

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