Application of “Omics” Technologies for Diagnosis and Pathogenesis of Neurological Infections

Noorbakhsh, Farshid; Aminian, Atefeh; Power, Christopher

doi:10.1007/s11910-015-0580-y

Cited by 4 publications

(2 citation statements)

References 115 publications

(110 reference statements)

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“…Patients who were on anti-inflammatory analgesics and steroids were excluded because immune and inflammatory pathways are linked to mood disorders, , and those who were undergoing intensive psychotherapy were excluded to confine treatment influences to psychotropic medications. Most of the other exclusion criteria were based on previous studies of certain diseases and conditions and their association with altered protein expression. − …”

Section: Methodsmentioning

confidence: 99%

Quantitative Proteomic Approach for Discriminating Major Depressive Disorder and Bipolar Disorder by Multiple Reaction Monitoring-Mass Spectrometry

et al. 2021

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Because major depressive disorder (MDD) and bipolar disorder (BD) manifest with similar symptoms, misdiagnosis is a persistent issue, necessitating their differentiation through objective methods. This study was aimed to differentiate between these disorders using a targeted proteomic approach. Multiple reaction monitoring-mass spectrometry (MRM-MS) analysis was performed to quantify protein targets regarding the two disorders in plasma samples of 270 individuals (90 MDD, 90 BD, and 90 healthy controls (HCs)). In the training set (72 MDD and 72 BD), a generalizable model comprising nine proteins was developed. The model was evaluated in the test set (18 MDD and 18 BD). The model demonstrated a good performance (area under the curve (AUC) >0.8) in discriminating MDD from BD in the training (AUC = 0.84) and test sets (AUC = 0.81) and in distinguishing MDD from BD without current hypomanic/manic/mixed symptoms (90 MDD and 75 BD) (AUC = 0.83). Subsequently, the model demonstrated excellent performance for drug-free MDD versus BD (11 MDD and 10 BD) (AUC = 0.96) and good performance for MDD versus HC (AUC = 0.87) and BD versus HC (AUC = 0.86). Furthermore, the nine proteins were associated with neuro, oxidative/nitrosative stress, and immunity/inflammation-related biological functions. This proof-of-concept study introduces a potential model for distinguishing between the two disorders.

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Section: Methodsmentioning

confidence: 99%

Quantitative Proteomic Approach for Discriminating Major Depressive Disorder and Bipolar Disorder by Multiple Reaction Monitoring-Mass Spectrometry

et al. 2021

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“…genomics, transcriptomics, proteomics, lipidomics, metabolomics, epigenomics, microbiomics, etc. [3,4]. One individual omics field studies one specific group of molecules.…”

Section: Postgenome Era and Advanced Omics Technologiesmentioning

confidence: 99%

Personalized laboratory medicine: a patient-centered future approach

Žitnik

Černe

Mancini

et al. 2018

Clinical Chemistry and Laboratory Medicine (CCLM)

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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.

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Multi-omics methods and tools in dissecting the oncovirus behavior in human host

Ahmed¹,

Veerabathiran²,

Sudhan³

et al. 2023

Oncogenic Viruses

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Application of “Omics” Technologies for Diagnosis and Pathogenesis of Neurological Infections

Cited by 4 publications

References 115 publications

Quantitative Proteomic Approach for Discriminating Major Depressive Disorder and Bipolar Disorder by Multiple Reaction Monitoring-Mass Spectrometry

Quantitative Proteomic Approach for Discriminating Major Depressive Disorder and Bipolar Disorder by Multiple Reaction Monitoring-Mass Spectrometry

Personalized laboratory medicine: a patient-centered future approach

Multi-omics methods and tools in dissecting the oncovirus behavior in human host

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