Displaying publications 61 - 80 of 1422 in total

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  1. Vyshnevska IR, Kopytsya MP, Kutya IM, Protsenko OS
    Pol Merkur Lekarski, 2020 Oct 23;48(287):297-301.
    PMID: 33130786
    One of the problems of modern cardiology in Ukraine and the world is acute coronary syndrome (ACS), which results in high mortality and invalidation of patients. Recently, much attention is drawn to the growth differentiation factor 15 (GDF-15). A lot of studies provided, in which the role of GDF-15 in cardiovascular pathology proved.

    AIM: The aim of the study was to determine the predictive possibility of the GDF-15 marker in the stratification of the ACS complications risk within 5 years after the event.

    MATERIALS AND METHODS: 70 patients with ACS were involved. The mean age was (61.8 +/- 1.3) years, the following diagnosis was established in the patients: 76 patients had acute myocardial infarction with Q (AMI with Q), 28 - acute myocardial infarction without Q (AMI without Q) and 36 patients were diagnosed unstable angina (UA). During the follow-up period the endpoint was reached by 28 patients.

    RESULTS: A statistical relationship between the elevated level of GDF - 15 and the 5-year survival of these patients (χ2 = 4.75, p = 0.03) has been found. It was established that the level of the GDF-15 biomarker > 2350 pg/ml independently predicted the onset of adverse events with the sensitivity of 80% and the specificity of 60% (p = 0.006). To investigate the influence of the GDF-15 levels on mortality in the remote period, the Cox regression analysis was performed. It was revealed that the level of GDF-15 significantly predicted the onset of the primary endpoint within 5 years after ACS (p = 0.004).

    CONCLUSIONS: The increased level of GDF-15, determined in the first 24 hours after development of ACS, is highly associated with the adverse outcome within 5 years after the event.

    Matched MeSH terms: Biomarkers
  2. Abu N, Jamal R
    Front Physiol, 2016;7:355.
    PMID: 27588005 DOI: 10.3389/fphys.2016.00355
    The interest in circular RNAs has resurfaced in the past few years. What was considered as "junk" for nearly two decades is now one of the most interesting molecules. Circular RNAs are non-coding RNAs that are formed by back-splicing events and have covalently closed loops with no poly-adenylated tails. The regulation of circular RNAs is distinctive and they are selectively abundant in different types of tissues. Based on the current knowledge of circular RNAs, these molecules have the potential to be the "next big thing" especially as biomarkers for different diseases. This mini-review attempts to concisely look at the biology of circular RNAs, the putative functional activities, the prevalence of circular RNAs, and the possible role of circular RNA as biomarkers for diagnosis or measuring drug response.
    Matched MeSH terms: Biomarkers
  3. Wan Fadzlina Wan Muhd Shukeri, Azrina Md. Ralib, Ummu Khultum Jamaludin, Mohd Basri Mat-Nor
    MyJurnal
    Currently, it is almost impossible to diagnose a patient at the onset of
    sepsis due to the lack of real-time metrics with high sensitivity and specificity. The
    purpose of the present study is to determine the diagnostic value of model-based insulin
    sensitivity (SI) as a new sepsis biomarker in critically ill patients, and compare its
    performance to classical inflammatory parameters. (Copied from article).
    Matched MeSH terms: Biomarkers
  4. Hon KW, Abu N, Ab Mutalib NS, Jamal R
    Front Pharmacol, 2018;9:846.
    PMID: 30127741 DOI: 10.3389/fphar.2018.00846
    Chemotherapy is one of the options for cancer treatment. FOLFOX is one of the widely used chemotherapeutic regimens used to treat primarily colorectal cancer and other cancers as well. However, the emergence of chemo-resistance clones during cancer treatment has become a critical challenge in the clinical setting. It is crucial to identify the potential biomarkers and therapeutics targets which could lead to an improvement in the success rate of the proposed therapies. Since non-coding RNAs have been known to be important players in the cellular system, the interest in their functional roles has intensified. Non-coding RNAs (ncRNAs) as regulators at the post-transcriptional level could be very promising to provide insights in overcoming chemo-resistance to FOLFOX. Hence, this mini review attempts to summarize the potential of ncRNAs correlating with chemo-sensitivity/resistance to FOLFOX.
    Matched MeSH terms: Biomarkers
  5. Mayaki AM, Abdul Razak IS, Noraniza MA, Mazlina M, Rasedee A
    J Equine Vet Sci, 2020 03;86:102907.
    PMID: 32067661 DOI: 10.1016/j.jevs.2019.102907
    Neurological disorders (NDs) are often fatal to horses. Thus, symptoms of equine NDs commonly indicate euthanasia. Current diagnostic approaches for equine NDs is based on clinical signs, differential diagnoses, analysis of cerebrospinal fluid (CSF), assessment of histopathological lesions, and imaging. However, advances in biofluid biomarkers in the diagnosis of human neurological diseases can potentially be applied to equine NDs. In this review, we described the established human blood and CSF neurobiomarkers that could potentially be used to diagnose equine NDs.
    Matched MeSH terms: Biomarkers
  6. Zahari Sham SY, Ng CT, Azwar S, Yip WK, Abdullah M, Thevandran K, et al.
    Kidney Blood Press Res, 2022;47(2):81-93.
    PMID: 35158353 DOI: 10.1159/000518866
    INTRODUCTION: Diabetic kidney disease (DKD) remains the leading cause of chronic kidney disease. Dysregulation of circulating miRNAs has been reported, suggesting their pathological roles in DKD. This study aimed to investigate differentially expressed miRNAs in the sera of type 2 diabetes mellitus (T2DM) patients with and without albuminuria in a selected Malaysian population.

    METHOD: Forty-one T2DM patients on follow-up at a community clinic were divided into normo-(NA), micro-(MIC), and macroalbuminuria (MAC) groups. Differential levels of miRNAs in 12 samples were determined using the pathway-focused (human fibrosis) miScript miRNA qPCR array and was validated in 33 samples, using the miScript custom qPCR array (CMIHS02742) (Qiagen GmbH, Hilden, Germany).

    RESULTS: Trends of upregulation of 3 miRNAs in the serum, namely, miR-874-3p, miR-101-3p, and miR-145-5p of T2DM patients with MAC compared to those with NA. Statistically significant upregulation of miR-874-3p (p = 0.04) and miR-101-3p (p = 0.01) was seen in validation cohort. Significant negative correlations between the estimated glomerular filtration rate (eGFR) and miR-874-3p (p = 0.05), miR-101-3p (p = 0.03), and miR-145-5p (p = 0.05) as well as positive correlation between miR-874-3p and age (p = 0.03) were shown by Pearson's correlation coefficient analysis.

    CONCLUSION: Upregulation of previously known miRNA, namely, miR-145-5p, and possibly novel ones, namely, miR-874-3p and miR-101-3p in the serum of T2DM patients, was found in this study. There was a significant correlation between the eGFR and these miRNAs. The findings of this study have provided encouraging evidence to further investigate the putative roles of these differentially expressed miRNAs in DKD.

    Matched MeSH terms: Biomarkers
  7. Chelliah SS, Bhuvanendran S, Magalingam KB, Kamarudin MNA, Radhakrishnan AK
    Ageing Res Rev, 2022 01;73:101514.
    PMID: 34798300 DOI: 10.1016/j.arr.2021.101514
    Parkinson's Disease (PD), a neurodegenerative disorder, is characterised by the loss of motor function and dopamine neurons. Therapeutic avenues remain a challenge due to lack of accuracy in early diagnosis, monitoring of disease progression and limited therapeutic options. Proteomic platforms have been utilised to discover biomarkers for numerous diseases, a tool that may benefit the diagnosis and monitoring of disease progression in PD patients. Therefore, this systematic review focuses on analysing blood-based candidate biomarkers (CB) identified via proteomics platforms for PD. This study systematically reviewed articles across six databases (EMBASE, Cochrane, Ovid Medline, Scopus, Science Direct and PubMed) published between 2010 and 2020. Of the 504 articles identified, 12 controlled-PD studies were selected for further analysis. A total of 115 candidate biomarkers (CB) were identified across selected 12-controlled studies, of which 23 CB were found to be replicable in more than two cohorts. Using the PANTHER Go-Slim classification system and STRING network, the gene function and protein interactions between biomarkers were analysed. Our analysis highlights Apolipoprotein A-I (ApoA-I), which is essential in lipid metabolism, oxidative stress, and neuroprotection demonstrates high replicability across five cohorts with consistent downregulation across four cohorts. Since ApoA-I was highly replicable across blood fractions, proteomic platforms and continents, its relationship with cholesterol, statin and oxidative stress as PD biomarker, its role in the pathogenesis of PD is discussed in this paper. The present study identified ApoA-I as a potential biomarker via proteomics analysis of PD for the early diagnosis and prediction of disease progression.
    Matched MeSH terms: Biomarkers
  8. Wu W, Xuan Y, Ge Y, Mu S, Hu C, Fan R
    Malays J Pathol, 2021 Aug;43(2):311-317.
    PMID: 34448795
    OBJECTIVE: To investigate the expression levels of micro-ribonucleic acid (miR)-146a and miR-365 in the plasma of osteoarthritis (OA) patients, to study their expression with the inflammatory factors and the severity of disease in patients and to analyse their diagnostic significance.

    MATERIALS AND METHODS: A total of 42 OA patients diagnosed with OA and treated in our hospital from January 2017 to January 2018 were selected as the subjects, and 28 healthy people were enrolled as controls. The expressions of interleukin-1 beta (IL-1β) and IL-6 in the plasma of OA patients were detected via immunohistochemical staining. Moreover, the knee joint function of OA patients was evaluated by Lysholm score, Western Ontario and McMaster Universities (WOMAC) score and Visual Analogue Scale (VAS) score. The expression levels of plasma miR-146a and miR-365 in OA patients were measured through RT-PCR. Besides, the significance of the expression levels of miR-146a and miR-365 for the diagnosis of OA was analysed by ROC curves.

    RESULTS: As compared with healthy people, OA patients had elevated expression levels of plasma IL-1β and IL-6, decreased Lysholm score, increased WOMAC and VAS scores as well as significantly up-regulated levels of plasma miR-146a and miR-365, which were of important significance for diagnosis.

    CONCLUSION: The expression levels of plasma miR-146a, miR-365 and inflammatory factors are notably higher, the disease is more severe, and the function of knee joint movement is weaker in OA patients than those in healthy controls. It can be concluded that the levels of both miR-146a and miR-365 can serve as biomarkers of OA diagnosis.

    Matched MeSH terms: Biomarkers
  9. Syed NH, Zunaina E, Wan-Nazatul Shima S, Sharma M, Shatriah I
    Korean J Ophthalmol, 2022 Oct;36(5):452-462.
    PMID: 35989077 DOI: 10.3341/kjo.2022.0010
    MicroRNAs (miRNAs) are the small noncoding RNA molecules which regulate target gene expression posttranscriptionally. They are known to regulate key cellular processes like inflammation, cell differentiation, cell proliferation, and cell apoptosis across various ocular diseases. Due to their easier access, recent focus has been laid on the investigation of miRNA expression and their involvement in several conjunctival diseases. The aim of this narrative review is to provide understanding of the miRNAs and describe the current role of miRNAs as the mediators of the various conjunctival diseases. A literature search was made using PubMed, Scopus, and Web of Science databases for studies involving miRNAs in the conjunctival pathological conditions. Original articles in the last 10 years involving both human and animal models were included. Literature search retrieved 27 studies matching our criteria. Pertaining to the numerous literatures, there is a strong correlation between miRNA and the various pathological conditions that occur in the conjunctiva. miRNAs are involved in various physiological processes such as cell differentiation, proliferation, apoptosis, development, and inflammation by regulating various signaling pathways, genes, proteins, and mediators. Pterygium was the most studied conjunctival disease for miRNA involvement, whereas miRNA research in allergic conjunctivitis is still in its early stages. Our review provides deep insights into the various miRNAs playing an important role in the various conjunctival diseases. miRNAs do have the potential to serve as noninvasive biomarkers with diagnostic, prognostic, and therapeutic implications. However, multitudinous studies are required to validate miRNAs as the reliable biomarkers in conjunctival pathologies and its targeted therapy.
    Matched MeSH terms: Biomarkers
  10. Alharbi KS, Singh Y, Hassan Almalki W, Rawat S, Afzal O, Alfawaz Altamimi AS, et al.
    Chem Biol Interact, 2022 May 01;358:109898.
    PMID: 35331679 DOI: 10.1016/j.cbi.2022.109898
    Coronavirus disease (COVID-19), a coronavirus-induced illness attributed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission, is thought to have first emerged on November 17, 2019. According to World Health Organization (WHO). COVID-19 has been linked to 379,223,560 documented occurrences and 5,693,245 fatalities globally as of 1st Feb 2022. Influenza A virus that has also been discovered diarrhea and gastrointestinal discomfort was found in the infected person, highlighting the need of monitoring them for gastro intestinal tract (GIT) symptoms regardless of whether the sickness is respiration related. The majority of the microbiome in the intestines is Firmicutes and Bacteroidetes, while Bacteroidetes, Proteobacteria, and Firmicutes are found in the lungs. Although most people overcome SARS-CoV-2 infections, many people continue to have symptoms months after the original sickness, called Long-COVID or Post COVID. The term "post-COVID-19 symptoms" refers to those that occur with or after COVID-19 and last for more than 12 weeks (long-COVID-19). The possible understanding of biological components such as inflammatory, immunological, metabolic activity biomarkers in peripheral blood is needed to evaluate the study. Therefore, this article aims to review the informative data that supports the idea underlying the disruption mechanisms of the microbiome of the gastrointestinal tract in the acute COVID-19 or post-COVID-mediated elevation of severity biomarkers.
    Matched MeSH terms: Biomarkers
  11. Haarindraprasad R, Gopinath SCB, Veeradassan P
    Biotechnol Appl Biochem, 2022 Dec;69(6):2698-2712.
    PMID: 34997977 DOI: 10.1002/bab.2316
    A "Janus particle" refers to the production of two materials in a single system and shows a difference in physical characteristics, and two surfaces participate in the formation with different chemistries. This research generated the Janus using a hybrid of zinc oxide (ZnO) and gold (Au) on the sensor surface toward making high-performance DNA sensors. The Janus ZnO/Au-textured film was synthesized via the one-step sol-gel method, which involves a suitable ratio of a mixture of ZnO sol seed solution. The synthesized Janus ZnO/Au-textured film undergoes a low-temperature aqueous hydrothermal route to synthesize quasi-one-dimensional nanowires. The average grain size in the Janus ZnO/Au nanotextured wire was 41.60 nm. The fabricated nanotextured wire was further optimized by tuning the thickness and characterized by XRD and high-resolution microscopy. Electrical characterization was conducted on the Janus ZnO/Au nanotextured wire coupled with an interdigitated electrode sensor to detect the specific leptospirosis DNA strand. The generated device is capable of detecting lower DNA concentration at 1 × 10-13 M with a sensitivity of 8.54 MΩ M-1 cm-2 . The high performance is attained on linear concentrations of 10-6 -10-13 M with the determination coefficient, "I = 135437.63C-3609.07" R2 = 0.9551. A potential strategy is proposed as a base for developing different high-performance sensors.
    Matched MeSH terms: Biomarkers
  12. Goh ZNL, Teo RYL, Chung BK, Wong AC, Seak CJ
    Medicine (Baltimore), 2022 Aug 05;101(31):e29951.
    PMID: 35945724 DOI: 10.1097/MD.0000000000029951
    Heart failure leading to cardiac ascites is an extremely rare and underrecognized entity in clinical practice. Recognizing cardiac ascites can be difficult, especially since patients presenting with ascites may have more than 1 etiology. Various biomarkers are available to aid in the diagnosis of cardiac ascites, though with differing sensitivities and specificities. Such biomarkers include serum albumin, ascitic albumin and protein, as well as serum N-terminal pro-brain natriuretic peptide (NT-proBNP). While serum NT-proBNP is a powerful biomarker in distinguishing the etiology of ascites and monitoring treatment progression, its cost can be prohibitive in low-resource settings. Clinicians practicing under these circumstances may opt to rely on other parameters to manage their patients. We go on further to report a series of 3 patients with cardiac ascites to illustrate how these biomarkers may be employed in the management of this patient population. Clinicians should always keep in mind the differential diagnosis of cardiac failure as a cause of ascites. The resolution of cardiac ascites may serve as a surrogate clinical marker for response to antifailure therapy in lieu of NT-proBNP at resource-scarce centers.
    Matched MeSH terms: Biomarkers
  13. Al-Mhanna SB, Wan Ghazali WS, Mohamed M, Rabaan AA, Santali EY, H Alestad J, et al.
    PeerJ, 2022;10:e13664.
    PMID: 35935260 DOI: 10.7717/peerj.13664
    BACKGROUND: Cancer is a huge group of diseases that can affect various body parts of humans but also has a psychological, societal, and economic impact. Physical activity can improve the quality of life (QOL) and immunity, while moderate intensity exercise can reduce the probability of this lethal disease. The current study aimed to determine the effect of physical activity on immune markers and QOL in cancer patients as well as to evaluate cancer-related fatigue (CRF) and its association with physical activity.

    METHODOLOGY: Before starting the study, the study protocol was registered in PROSPERO (registration number CRD42021273292). An electronic literature search was performed by combining MeSH terminology and keywords used with the Boolean operators "OR" and "AND" to find relevant published studies on PubMed, Scopus, Cochrane, and ScienceDirect databases. The Joanna Briggs Institute (JBI) critical evaluation checklist was used to assess the quality of selected studies, while the GRADE approach was used to see the quality of evidence.

    RESULTS: A total of 13,931 studies were retrieved after the search on databases. After the scrutiny of studies by reading the title of articles and the inclusion/exclusion criteria, a total of 54 studies were selected for further screening by reading the full texts. In the final, a total of nine studies were selected for the current systematic review and proceeded for data extraction. The patients who were doing different exercises showed improvements in immunity, QOL, and reduction in CRF. A significant reduction in tumour necrosis factor-α (TNF-α), C reactive protein (CRP), interleukin-8 (IL-8), IL-6, and an increase in natural killer (NK) cells levels was also observed.

    CONCLUSIONS: The exercise program is safe and beneficial to improve the quality of life and immunity markers before, during, and after cancer treatment. Physical exercise may also help patients to overcome the adverse effects of the treatment and to reduce the chance of developing new tumours in the future.

    Matched MeSH terms: Biomarkers
  14. Abu Bakar SA, Syed Mohamed Shahruddin SNS, Ismail N, Wan Md Adnan WAH
    PeerJ, 2022;10:e13694.
    PMID: 35935256 DOI: 10.7717/peerj.13694
    The estimation of biological age (BA) is an important asymptomatic measure that can be used to understand the physical changes and the aging process of a living being. Factors that contribute towards profiling the human biological age can be diverse. Therefore, this study focuses on developing a BA model for patients with Chronic Kidney Disease (CKD). The procedure commences with the selection of significant biomarkers using a correlation test. Appropriate weighting is then assigned to each selected biomarker using the indexing method to produce a BA index. The BA index is matched to the age variation within the sample to acquire additional terms for the chronological age leading ultimately to the estimated BA. From a sample of 190 patients (133 trained data and 57 testing data) obtained from the University of Malaya Medical Centre (UMMC), Malaysia, the intensity of the BA is found to be between three to nine years from the chronological age. Visual observations further validate the high similarities between the training and testing data sets.
    Matched MeSH terms: Biomarkers
  15. Low TY, Chen YJ, Ishihama Y, Chung MCM, Cordwell S, Poon TCW, et al.
    Mol Cell Proteomics, 2022 Dec;21(12):100436.
    PMID: 36309314 DOI: 10.1016/j.mcpro.2022.100436
    In 2021, the Asia-Oceania Human Proteome Organization (AOHUPO) initiated a new endeavor named the AOHUPO Online Education Series with the aim to promote scientific education and collaboration, exchange of ideas and culture among the young scientists in the AO region. Following the warm participation, the AOHUPO organized the second series in 2022, with the theme "The Renaissance of Clinical Proteomics: Biomarkers, Imaging and Therapeutics". This time, the second AOHUPO Online Education Series was hosted by the UKM Medical Molecular Biology Institute (UMBI) affiliated to the National University of Malaysia (UKM) in Kuala Lumpur, Malaysia on three consecutive Fridays (11th, 18th and 25th of March). More than 300 participants coming from 29 countries/regions registered for this 3-days event. This event provided an amalgamation of six prominent speakers and all participants whose interests lay mainly in applying MS-based and non-MS-based proteomics for clinical investigation.
    Matched MeSH terms: Biomarkers
  16. Balachandran K, Ramli R, Karsani SA, Abdul Rahman M
    Int J Mol Sci, 2023 May 11;24(10).
    PMID: 37239981 DOI: 10.3390/ijms24108635
    This study aimed to identify potential molecular mechanisms and therapeutic targets for bisphosphonate-related osteonecrosis of the jaw (BRONJ), a rare but serious side effect of bisphosphonate therapy. This study analyzed a microarray dataset (GSE7116) of multiple myeloma patients with BRONJ (n = 11) and controls (n = 10), and performed gene ontology, a pathway enrichment analysis, and a protein-protein interaction network analysis. A total of 1481 differentially expressed genes were identified, including 381 upregulated and 1100 downregulated genes, with enriched functions and pathways related to apoptosis, RNA splicing, signaling pathways, and lipid metabolism. Seven hub genes (FN1, TNF, JUN, STAT3, ACTB, GAPDH, and PTPRC) were also identified using the cytoHubba plugin in Cytoscape. This study further screened small-molecule drugs using CMap and verified the results using molecular docking methods. This study identified 3-(5-(4-(Cyclopentyloxy)-2-hydroxybenzoyl)-2-((3-hydroxybenzo[d]isoxazol-6-yl) methoxy) phenyl) propanoic acid as a potential drug treatment and prognostic marker for BRONJ. The findings of this study provide reliable molecular insight for biomarker validation and potential drug development for the screening, diagnosis, and treatment of BRONJ. Further research is needed to validate these findings and develop an effective biomarker for BRONJ.
    Matched MeSH terms: Biomarkers
  17. Lebedeva A, Timokhin G, Ignatova E, Kavun A, Veselovsky E, Sharova M, et al.
    Clin Exp Med, 2023 Oct;23(6):2663-2674.
    PMID: 36752890 DOI: 10.1007/s10238-023-01011-6
    With the growing use of comprehensive tumor molecular profiling (CTMP), the therapeutic landscape of cancer is rapidly evolving. NGS produces large amounts of genomic data requiring complex analysis and subsequent interpretation. We sought to determine the utility of publicly available knowledge bases (KB) for the interpretation of the cancer mutational profile in clinical practice. Analysis was performed across patients who previously underwent CTMP. Independent interpretation of the CTMP was performed manually, and then, the recommendations were compared to ones present in KBs (OncoKB, CIViC, CGI, CGA, VICC, MolecularMatch). A total of 222 CTMP reports from 222 patients with 932 genomic alterations (GA) were identified. For 368 targetable GA identified in 171 (77%) of the patients, 1381 therapy recommendations were compiled. Except for CGA, therapy ESCAT LOE I, II, IIIA and IIIB therapy options were equally represented in the majority of KB. Personalized treatment options with ESCAT LOE I-II were provided for 35 patients (16%); MolecularMatch/CIViC allowed to collect ESCAT I-II treatment options for 34 of them (97%), OncoKB/CGI-for 33 of them (94%). Employing VICC and CGA 6 (17%) and 20 (57%) of patients were left without ESCAT I or II treatment options. For 88 patients with ESCAT level III-B therapy recommendations: only 2 (2%), 3 (3%), 4 (5%) and 6 (7%) of patients were left without options with CIViC, MolecularMatch, CGI and OncoKB, and with VICC-12 (14%). Highest overlap ratio was observed for IIIA (0.81) biomarkers, with the comparable results for LOE I-II. Meanwhile, overlap ratio for ESCAT LOE IV was 0.22. Public KBs provide substantial information on ESCAT-I/R1 biomarkers, but the information on ESCAT II-IV and resistance biomarkers is underrepresented. Manual curation should be considered the gold standard for the CTMP interpretation.
    Matched MeSH terms: Biomarkers
  18. Sharaev MG, Malashenkova IK, Maslennikova AV, Zakharova NV, Bernstein AV, Burnaev EV, et al.
    Sovrem Tekhnologii Med, 2022;14(5):53-75.
    PMID: 37181835 DOI: 10.17691/stm2022.14.5.06
    Schizophrenia is a socially significant mental disorder resulting frequently in severe forms of disability. Diagnosis, choice of treatment tactics, and rehabilitation in clinical psychiatry are mainly based on the assessment of behavioral patterns, socio-demographic data, and other investigations such as clinical observations and neuropsychological testing including examination of patients by the psychiatrist, self-reports, and questionnaires. In many respects, these data are subjective and therefore a large number of works have appeared in recent years devoted to the search for objective characteristics (indices, biomarkers) of the processes going on in the human body and reflected in the behavioral and psychoneurological patterns of patients. Such biomarkers are based on the results of instrumental and laboratory studies (neuroimaging, electro-physiological, biochemical, immunological, genetic, and others) and are successfully being used in neurosciences for understanding the mechanisms of the emergence and development of nervous system pathologies. Presently, with the advent of new effective neuroimaging, laboratory, and other methods of investigation and also with the development of modern methods of data analysis, machine learning, and artificial intelligence, a great number of scientific and clinical studies is being conducted devoted to the search for the markers which have diagnostic and prognostic value and may be used in clinical practice to objectivize the processes of establishing and clarifying the diagnosis, choosing and optimizing treatment and rehabilitation tactics, predicting the course and outcome of the disease. This review presents the analysis of the works which describe the correlates between the diagnosis of schizophrenia, established by health professionals, various manifestations of the psychiatric disorder (its subtype, variant of the course, severity degree, observed symptoms, etc.), and objectively measured characteristics/quantitative indicators (anatomical, functional, immunological, genetic, and others) obtained during instrumental and laboratory examinations of patients. A considerable part of these works has been devoted to correlates/biomarkers of schizophrenia based on the data of structural and functional (at rest and under cognitive load) MRI, EEG, tractography, and immunological data. The found correlates/biomarkers reflect anatomic disorders in the specific brain regions, impairment of functional activity of brain regions and their interconnections, specific microstructure of the brain white matter and the levels of connectivity between the tracts of various structures, alterations of electrical activity in various parts of the brain in different EEG spectral ranges, as well as changes in the innate and adaptive links of immunity. Current methods of data analysis and machine learning to search for schizophrenia biomarkers using the data of diverse modalities and their application during building and interpretation of predictive diagnostic models of schizophrenia have been considered in the present review.
    Matched MeSH terms: Biomarkers
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