scholarly journals Cytokines as Biomarkers in Rheumatoid Arthritis

2014 ◽  
Vol 2014 ◽  
pp. 1-24 ◽  
Author(s):  
Agata Burska ◽  
Marjorie Boissinot ◽  
Frederique Ponchel
Keyword(s):  
Clinical Utility ◽  
Complex Disease ◽  
Personalised Medicine ◽  
Rapid Evolution ◽  
Predictive Biomarkers ◽  
Cardiovascular Complications ◽  
Heterogeneous Nature ◽  
Risk Biomarkers ◽  
New Biomarkers ◽  
The Individual

RA is a complex disease that develops as a series of events often referred to as disease continuum. RA would benefit from novel biomarker development for diagnosis where new biomarkers are still needed (even if progresses have been made with the inclusion of ACPA into the ACR/EULAR 2010 diagnostic criteria) and for prognostic notably in at risk of evolution patients with autoantibody-positive arthralgia. Risk biomarkers for rapid evolution or cardiovascular complications are also highly desirable. Monitoring biomarkers would be useful in predicting relapse. Finally, predictive biomarkers for therapy outcome would allow tailoring therapy to the individual. Increasing numbers of cytokines have been involved in RA pathology. Many have the potential as biomarkers in RA especially as their clinical utility is already established in other diseases and could be easily transferable to rheumatology. We will review the current knowledge’s relation to cytokine used as biomarker in RA. However, given the complexity and heterogeneous nature of RA, it is unlikely that a single cytokine may provide sufficient discrimination; therefore multiple biomarker signatures may represent more realistic approach for the future of personalised medicine in RA.

scholarly journals COPD stands for complex obstructive pulmonary disease

2018 ◽  
Vol 27 (148) ◽  
pp. 180027 ◽  
Author(s):  
Sarah Houben-Wilke ◽  
Ingrid M. Augustin ◽  
Jan H. Vercoulen ◽  
Dirk van Ranst ◽  
Eline bij de Vaate ◽  
...  
Keyword(s):  
Pulmonary Disease ◽  
Complex Disease ◽  
Personalised Medicine ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Holistic Approaches ◽  
Patient Profiling ◽  
Personalised Treatment ◽  
The Individual ◽  
The Right

Chronic obstructive pulmonary disease (COPD) has extensively been reported as a complex disease affecting patients' health beyond the lungs with a variety of intra- and extrapulmonary components and considerable variability between individuals. This review discusses the assessment of this complexity and underlines the importance of transdisciplinary management programmes addressing the physical, emotional and social health of the individual patient.COPD management is challenging and requires advanced, sophisticated strategies meeting the patient's individual needs. Due to the heterogeneity and complexity of the disease leading to non-linear and consequently poorly predictable treatment responses, multidimensional patient profiling is crucial to identify the right COPD patient for the right treatment. Current methods are often restricted to general, well-known and commonly used assessments neglecting potentially relevant (interactions between) individual, unique “traits” to finally ensure personalised treatment. Dynamic, personalised and holistic approaches are needed to tackle this multifaceted disease and to ensure personalised medicine and value-based healthcare.

scholarly journals The Potential Role of Exosomes in Child and Adolescent Obesity

Children ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 196
Author(s):  
Ioanna Maligianni ◽  
Christos Yapijakis ◽  
Flora Bacopoulou ◽  
George Chrousos
Keyword(s):  
Child And Adolescent ◽  
Cardiovascular Complications ◽  
Adolescent Obesity ◽  
Overweight And Obesity ◽  
Calorie Intake ◽  
Target Cells ◽  
Special Role ◽  
Exosomal Mirnas ◽  
Risk Biomarkers

Child and adolescent obesity constitute one of the greatest contemporary public health menaces. The enduring disproportion between calorie intake and energy consumption, determined by a complex interaction of genetic, epigenetic, and environmental factors, finally leads to the development of overweight and obesity. Child and adolescent overweight/obesity promotes smoldering systemic inflammation (“para-inflammation”) and increases the likelihood of later metabolic and cardiovascular complications, including metabolic syndrome and its components, which progressively deteriorate during adulthood. Exosomes are endosome-derived extracellular vesicles that are secreted by a variety of cells, are naturally taken-up by target cells, and may be involved in many physiological and pathological processes. Over the last decade, intensive research has been conducted regarding the special role of exosomes and the non-coding (nc) RNAs they contain (primarily micro (mi) RNAs, long (l) non-coding RNAs, messenger (m) RNAs and other molecules) in inter-cellular communications. Through their action as communication mediators, exosomes may contribute to the pathogenesis of obesity and associated disorders. There is increasing evidence that exosomal miRNAs and lncRNAs are involved in pivotal processes of adipocyte biology and that, possibly, play important roles in gene regulation linked to human obesity. This review aims to improve our understanding of the roles of exosomes and their cargo in the development of obesity and related metabolic and inflammatory disorders. We examined their potential roles in adipose tissue physiology and reviewed the scarce data regarding the altered patterns of circulating miRNAs and lncRNAs observed in obese children and adolescents, compared them to the equivalent, more abundant existing findings of adult studies, and speculated on their proposed mechanisms of action. Exosomal miRNAs and lncRNAs could be applied as cardiometabolic risk biomarkers, useful in the early diagnosis and prevention of obesity. Furthermore, the targeting of crucial circulating exosomal cargo to tissues involved in the pathogenesis and maintenance of obesity could provide a novel therapeutic approach to this devastating and management-resistant pandemic.

scholarly journals Liquid Biopsy in Hepatocellular Carcinoma: Where Are We Now?

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2274
Author(s):  
Filippo Pelizzaro ◽  
Romilda Cardin ◽  
Barbara Penzo ◽  
Elisa Pinto ◽  
Alessandro Vitale ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liquid Biopsy ◽  
Predictive Biomarkers ◽  
Invasive Procedure ◽  
Therapeutic Monitoring ◽  
Comprehensive Overview ◽  
Improve Patient Survival ◽  
Prognostic Tests ◽  
Prognostic Stratification ◽  
New Biomarkers

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer related death worldwide. Diagnostic, prognostic, and predictive biomarkers are urgently needed in order to improve patient survival. Indeed, the most widely used biomarkers, such as alpha-fetoprotein (AFP), have limited accuracy as both diagnostic and prognostic tests. Liver biopsy provides an insight on the biology of the tumor, but it is an invasive procedure, not routinely used, and not representative of the whole neoplasia due to the demonstrated intra-tumoral heterogeneity. In recent years, liquid biopsy, defined as the molecular analysis of cancer by-products, released by the tumor in the bloodstream, emerged as an appealing source of new biomarkers. Several studies focused on evaluating extracellular vesicles, circulating tumor cells, cell-free DNA and non-coding RNA as novel reliable biomarkers. In this review, we aimed to provide a comprehensive overview on the most relevant available evidence on novel circulating biomarkers for early diagnosis, prognostic stratification, and therapeutic monitoring. Liquid biopsy seems to be a very promising instrument and, in the near future, some of these new non-invasive tools will probably change the clinical management of HCC patients.

scholarly journals The individual course of neuropsychiatric symptoms in people with Alzheimer's and Lewy body dementia: 12-year longitudinal cohort study

2019 ◽  
Vol 216 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Audun Osland Vik-Mo ◽  
Lasse Melvaer Giil ◽  
Miguel Germán Borda ◽  
Clive Ballard ◽  
Dag Aarsland
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neuropsychiatric Symptoms ◽  
Personalised Medicine ◽  
Lewy Bodies ◽  
Lewy Body Dementia ◽  
Psychotic Symptoms ◽  
Primary Inclusion ◽  
The Individual

IntroductionUnderstanding the natural course of neuropsychiatric symptoms (NPS) in dementia is important for planning patient care and trial design, but few studies have described the long-term course of NPS in individuals.MethodPrimary inclusion of 223 patients with suspected mild dementia from general practice were followed by annual assessment, including the Neuropsychiatric Inventory (NPI), for up to 12 years. Total and item NPI scores were classified as stable, relapsing, single episodic or not present based on 4.96 (s.d. 2.3) observations (98% completeness of longitudinal data) for 113 patients with Alzheimer's disease and 84 patients with LBD (68 dementia with Lewy bodies and 16 Parkinson's disease dementia).ResultsWe found that 80% had stable NPI total ≥1, 50% had stable modest NPI total ≥12 and 25% had stable NPI total ≥24 scores. Very severe NPS (≥48) were mostly single episodes, but 8% of patients with Alzheimer's disease had stable severe NPS. Patients with Alzheimer's disease and the highest 20% NPI total scores had a more stable or relapsing course of four key symptoms: aberrant motor behaviour, aggression/agitation, delusions and irritability (odds ratio 55, P < 0.001). This was not seen in LBD. Finally, 57% of patients with Alzheimer's disease and 84% of patients with LBD had reoccurring psychotic symptoms.ConclusionsWe observed a highly individual course of NPS, with most presenting as a single episode or relapsing; a stable course was less common, especially in LBD. These findings demonstrate the importance of an individualised approach (i.e. personalised medicine) in dementia care.

Perceived Causal Problem Networks: Reliability, Central Problems, and Clinical Utility for Depression

Assessment ◽  
2021 ◽  
pp. 107319112110392
Author(s):  
Lars Klintwall ◽  
Martin Bellander ◽  
Matti Cervin
Keyword(s):  
Clinical Utility ◽  
Treatment Success ◽  
Centrality Measures ◽  
Retest Reliability ◽  
Causal Relations ◽  
Future Studies ◽  
Causal Networks ◽  
Novel Method ◽  
The Individual ◽  
Test Retest Reliability

Personalized case conceptualization is often regarded as a prerequisite for treatment success in psychotherapy for patients with comorbidity. This article presents Perceived Causal Networks, a novel method in which patients rate perceived causal relations among behavioral and emotional problems. First, 231 respondents screening positive for depression completed an online Perceived Causal Networks questionnaire. Median completion time (including repeat items to assess immediate test–retest reliability) was 22.7 minutes, and centrality measures showed excellent immediate test–retest reliability. Networks were highly idiosyncratic, but worrying and ruminating were the most central items for a third of respondents. Second, 50 psychotherapists rated the clinical utility of Perceived Causal Networks visualizations. Ninety-six percent rated the networks as clinically useful, and the information in the individual visualizations was judged to contain 47% of the information typically collected during a psychotherapy assessment phase. Future studies should individualize networks further and evaluate the validity of perceived causal relations.

Systematic review: predictive biomarkers of therapeutic response in inflammatory bowel disease-personalised medicine in its infancy

2018 ◽  
Vol 48 (11-12) ◽  
pp. 1213-1231 ◽  
Author(s):  
Toer W. Stevens ◽  
Mijntje Matheeuwsen ◽  
Maria H. Lönnkvist ◽  
Claire E. Parker ◽  
Manon E. Wildenberg ◽  
...  
Keyword(s):  
Systematic Review ◽  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Therapeutic Response ◽  
Personalised Medicine ◽  
Predictive Biomarkers ◽  
Inflammatory Bowel

scholarly journals Integrative biochemical, proteomics, and metabolomics cerebrospinal fluid biomarkers predict clinical conversion to multiple sclerosis

2021 ◽  
Author(s):  
Fay Probert ◽  
Tianrong Yeo ◽  
Yifan Zhou ◽  
Megan Sealey ◽  
Siddharth Arora ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cerebrospinal Fluid ◽  
Predictive Accuracy ◽  
Personalised Medicine ◽  
Clinically Isolated Syndrome ◽  
Oligoclonal Bands ◽  
Protein Biomarkers ◽  
Glucose Levels ◽  
Prognostic Accuracy ◽  
New Biomarkers

Abstract Eighty-five percent of multiple sclerosis cases begin with a discrete attack termed clinically isolated syndrome, but 37% of clinically isolated syndrome patients do not experience a relapse within 20 years of onset. Thus, the identification of biomarkers able to differentiate between individuals who are most likely to have a second clinical attack from those who remain in the clinically isolated syndrome stage is essential to apply a personalised medicine approach. We sought to identify biomarkers from biochemical, metabolic, and proteomic screens that predict clinically defined conversion from clinically isolated syndrome to multiple sclerosis and generate a multi-omics-based algorithm with higher prognostic accuracy than any currently available test. An integrative multi-variate approach was applied to the analysis of cerebrospinal fluid samples taken from 54 individuals at the point of clinically isolated syndrome with 2–10 years of subsequent follow-up enabling stratification into clinical converters and non-converters. Leukocyte counts were significantly elevated at onset in the clinical converters and predict occurrence of a second attack with 70% accuracy. Myo-inositol levels were significantly increased in clinical converters while glucose levels were decreased, predicting transition to multiple sclerosis with accuracies of 72% and 63%, respectively. Proteomics analysis identified 89 novel gene products related to conversion. The identified biochemical and protein biomarkers were combined to produce an algorithm with predictive accuracy of 83% for the transition to clinically defined multiple sclerosis, outperforming any individual biomarker in isolation including oligoclonal bands. The identified protein biomarkers are consistent with an exaggerated immune response, perturbed energy metabolism, and multiple sclerosis pathology in the clinical converter group. The new biomarkers presented provide novel insight into the molecular pathways promoting disease while the multi-omics algorithm provides a means to more accurately predict whether an individual is likely to convert to clinically defined multiple sclerosis.

scholarly journals The clinical assessment of acts of violence: mental mechanisms and subjectivity

2019 ◽  
Vol 26 (3) ◽  
pp. 135-144 ◽  
Author(s):  
Rajan Nathan ◽  
Peter Wilson
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Clinical Practice ◽  
Clinical Assessment ◽  
Clinical Utility ◽  
Individual Case ◽  
Evidence Base ◽  
Routine Clinical Practice ◽  
Factors Associated ◽  
The Individual

SUMMARYApproaches to assessing violence in clinical practice have been influenced by developments in the field of risk assessment. As a result, there has been a focus on identifying and describing factors associated with violence. However, a factor-based approach to assessing violence in individual cases has limited clinical utility. In response, the benefits of a formulation-based approach have been promoted. This approach is enhanced by an understanding of the specific mental mechanisms that increase the likelihood of violence in the individual case. Although there is an empirical evidence base for mental mechanisms associated with violence, this literature has not been distilled and synthesised in a way that informs routine clinical practice. In this article the authors present the key mechanisms that are known to be associated with violence in a way that is relevant to the clinical assessment of violence and, in turn, can inform clinical and risk management.

scholarly journals Circulating Tumour Cell Biomarkers in Head and Neck Cancer: Current Progress and Future Prospects

Cancers ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1115 ◽  
Author(s):  
Karl Payne ◽  
Jill Brooks ◽  
Rachel Spruce ◽  
Nikolaos Batis ◽  
Graham Taylor ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Dynamic Assessment ◽  
Personalised Medicine ◽  
Selection Marker ◽  
Clinical Implementation ◽  
Novel Technologies ◽  
Isolation Systems ◽  
The Individual

Head and neck cancer (HNC) continues to carry a significant burden of disease both for patients and health services. Facilitating biomarker-led treatment decisions is critical to improve outcomes in this group and deliver therapy tailored to the individual tumour biological profile. One solution to develop such biomarkers is a liquid biopsy analysing circulating tumour cells (CTCs)—providing a non-invasive and dynamic assessment of tumour specific alterations in ‘real-time’. A major obstacle to implementing such a test is the standardisation of CTC isolation methods and subsequent down-stream analysis. Several options are available, with a recent shift in vogue from positive-selection marker-dependent isolation systems to marker-independent negative-selection techniques. HNC single-CTC characterisation, including single-cell sequencing, to identify actionable mutations and gene-expression signatures has the potential to both guide the understanding of patient tumour heterogeneity and support the adoption of personalised medicine strategies. Microfluidic approaches for isolating CTCs and cell clusters are emerging as novel technologies which can be incorporated with computational platforms to complement current diagnostic and prognostic strategies. We review the current literature to assess progress regarding CTC biomarkers in HNC and potential avenues for future translational research and clinical implementation.

Sign in / Sign up

Export Citation Format

Share Document