scholarly journals Proteomic Biomarkers of Atherosclerosis

2008 ◽  
Vol 3 ◽  
pp. BMI.S488 ◽  
Author(s):  
F. Vivanco ◽  
L.R. Padial ◽  
V.M. Darde ◽  
F. De La Cuesta ◽  
G. Alvarez-Llamas ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Vascular Tissue ◽  
Careful Analysis ◽  
Diagnostic Tools ◽  
Atherosclerotic Plaques ◽  
Novel Proteins ◽  
Diagnosis And Prognosis ◽  
Novel Biomarkers ◽  
Definition Of ◽  
New Biomarkers

Biomarkers provide a powerful approach to understanding the spectrum of cardiovascular diseases. They have application in screening, diagnostic, prognostication, prediction of recurrences and monitoring of therapy. The “omics” tool are becoming very useful in the development of new biomarkers in cardiovascular diseases. Among them, proteomics is especially fitted to look for new proteins in health and disease and is playing a significant role in the development of new diagnostic tools in cardiovascular diagnosis and prognosis. This review provides an overview of progress in applying proteomics to atherosclerosis. First, we describe novel proteins identified analysing atherosclerotic plaques directly. Careful analysis of proteins within the atherosclerotic vascular tissue can provide a repertoire of proteins involved in vascular remodelling and atherogenesis. Second, we discuss recent data concerning proteins secreted by atherosclerotic plaques. The definition of the atheroma plaque secretome resides in that proteins secreted by arteries can be very good candidates of novel biomarkers. Finally we describe proteins that have been differentially expressed (versus controls) by individual cells which constitute atheroma plaques (endothelial cells, vascular smooth muscle cells, macrophages and foam cells) as well as by circulating cells (monocytes, platelets) or novel biomarkers present in plasma.

scholarly journals Cytokine signature and COVID-19 prediction models in the two waves of pandemics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Serena Cabaro ◽  
Vittoria D’Esposito ◽  
Tiziana Di Matola ◽  
Silvia Sale ◽  
Michele Cennamo ◽  
...  
Keyword(s):  
Prediction Models ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Diagnostic Tools ◽  
Linear Discriminant ◽  
Diagnosis And Prognosis ◽  
Machine Learning Approach ◽  
Set Up ◽  
Definition Of ◽  
Second Wave

AbstractIn Europe, multiple waves of infections with SARS-CoV-2 (COVID-19) have been observed. Here, we have investigated whether common patterns of cytokines could be detected in individuals with mild and severe forms of COVID-19 in two pandemic waves, and whether machine learning approach could be useful to identify the best predictors. An increasing trend of multiple cytokines was observed in patients with mild or severe/critical symptoms of COVID-19, compared with healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized the three groups based on cytokine patterns. Classification and Regression Tree (CART) further indicated that IL-6 discriminated controls and COVID-19 patients, whilst IL-8 defined disease severity. During the second wave of pandemics, a less intense cytokine storm was observed, as compared with the first. IL-6 was the most robust predictor of infection and discriminated moderate COVID-19 patients from healthy controls, regardless of epidemic peak curve. Thus, serum cytokine patterns provide biomarkers useful for COVID-19 diagnosis and prognosis. Further definition of individual cytokines may allow to envision novel therapeutic options and pave the way to set up innovative diagnostic tools.

CircRNAs in lung adenocarcinoma: diagnosis and therapy

2021 ◽  
Vol 21 ◽  
Author(s):  
Lijia Su ◽  
Jinying Zhao ◽  
Huahua Su ◽  
Yanhua Wang ◽  
Wenfeng Huang ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Biomedical Application ◽  
Small Cell Lung Carcinoma ◽  
Disease Diagnosis ◽  
Circular Rnas ◽  
Cell Lung Carcinoma ◽  
Diagnosis And Therapy ◽  
Diagnosis And Prognosis ◽  
Novel Biomarkers ◽  
New Biomarkers

: Lung adenocarcinoma (LUAD) is the common histological subtype of non-small-cell lung carcinoma (NSCLC). Circular RNAs (circRNAs) represent a new class of non-coding RNAs (ncRNAs) involved in the development of cancer. Accumulating evidence indicated that a large number of circular RNAs were found to be involved in many biological processes, including tumor initiation, proliferation and progression. These circRNAs present great potentials as new biomarkers and vital targets for disease diagnosis and prognosis. In this review, we mainly focus on the differentially expressed circRNAs and their functions in the pathogenesis of LUAD, which makes it possible for the utility of circRNAs as novel biomarkers for early diagnosis and therapy. Especially, it is helpful to develop circRNAs as crucial therapeutic targets, thus providing a promising biomedical application in the field of cancer gene therapy.

scholarly journals The Clinical Potential of Circulating miRNAs as Biomarkers: Present and Future Applications for Diagnosis and Prognosis of Age-Associated Bone Diseases

Biomolecules ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 589 ◽  
Author(s):  
Michela Bottani ◽  
Giuseppe Banfi ◽  
Giovanni Lombardi
Keyword(s):  
Sensitivity And Specificity ◽  
Biological Fluids ◽  
Bone Diseases ◽  
Diagnostic Tools ◽  
Bone Homeostasis ◽  
Circulating Biomarkers ◽  
Circulating Mirnas ◽  
Diagnosis And Prognosis ◽  
Age Related ◽  
New Biomarkers

Osteoporosis, related fracture/fragility, and osteoarthritis are age-related pathologies that, over recent years, have seen increasing incidence and prevalence due to population ageing. The diagnostic approaches to these pathologies suffer from limited sensitivity and specificity, also in monitoring the disease progression or treatment. For this reason, new biomarkers are desirable for improving the management of osteoporosis and osteoarthritis patients. The non-coding RNAs, called miRNAs, are key post-transcriptional factors in bone homeostasis, and promising circulating biomarkers for pathological conditions in which to perform a biopsy can be problematic. In fact, miRNAs can easily be detected in biological fluids (i.e., blood, serum, plasma) using methods with elevated sensitivity and specificity (RT-qPCR, microarray, and NGS). However, the analytical phases required for miRNAs’ evaluation still present some practical issues that limit their use in clinical practice. This review reveals miRNAs’ potential as circulating biomarkers for evaluating predisposition, diagnosis, and prognosis of osteoporosis (postmenopausal or idiopathic), bone fracture/fragility, and osteoarthritis, with a focus on pre-analytical, analytical, and post-analytical protocols used for their validation and thus on their clinical applicability. These evidences may support the definition of early diagnostic tools based on circulating miRNAs for bone diseases and osteoarthritis as well as for monitoring the effects of specific treatments.

scholarly journals Copeptin - is There a Role for Another Cardiac Biomarker?

2011 ◽  
Vol 30 (3) ◽  
pp. 224-229 ◽  
Author(s):  
Adriana Unić ◽  
Dunja Rogić ◽  
Gordana Rajsman
Keyword(s):  
Cardiovascular Diseases ◽  
Clinical Laboratory ◽  
Surrogate Marker ◽  
Developed Countries ◽  
Cardiac Biomarker ◽  
Precursor Peptide ◽  
Novel Biomarkers ◽  
The Developed Countries ◽  
Routine Clinical Laboratory ◽  
New Biomarkers

Copeptin - is There a Role for Another Cardiac Biomarker?The discovery and development of new biomarkers continues to be a promising field. Since cardiovascular disease remains the principal cause of death in the developed countries, this is the area in which novel biomarkers have been most extensively evaluated. Arginine vasopressin (AVP or antidiuretic hormone) is one of the key hormones in the human body involved in cardiovascular homeostasis. It has so far escaped introduction into the routine clinical laboratory due to technical difficulties and pre-analytical errors. Copeptin, the C-terminal part of the AVP precursor peptide, was found to be a stable and sensitive surrogate marker for AVP release. During the past years, copeptin measurement has been shown to be of interest in a variety of clinical indications, including cardiovascular diseases such as heart failure, myocardial infarction, and stroke. This review summarizes the recent progress in the diagnostic use of plasma copeptin in cardiovascular diseases.

scholarly journals Cytokine Signature and COVID-19 Prediction Models in the Two Waves of Pandemics.

2021 ◽  
Author(s):  
Serena Cabaro ◽  
Vittoria D'Esposito ◽  
Tiziana Di Matola ◽  
Silvia Sale ◽  
Michele Cennamo ◽  
...  
Keyword(s):  
Prediction Models ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Diagnostic Tools ◽  
Linear Discriminant ◽  
Cart Analysis ◽  
Diagnosis And Prognosis ◽  
Machine Learning Approach ◽  
Set Up ◽  
Definition Of

Abstract In Europe, two waves of infections with SARS-CoV-2 (COVID-19) have been observed to date. Here, we have investigated whether common patterns of cytokines could be detected in individuals with mild and severe forms of COVID-19 in the two pandemic waves, and whether machine learning approach could be useful to identify the best predictors. An increasing trend of multiple cytokines was observed in patients with mild or severe/critical symptoms of COVID-19, compared with healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized the three groups based on cytokine patterns. Classification and Regression Tree (CART) further indicated that IL-6 discriminated controls and COVID-19 patients, whilst IL-8 defined disease severity. During the second wave of pandemics, a less intense cytokine storm was observed. CART analysis revealed that IL-6 was the most robust predictor of infection and discriminated moderate COVID-19 patients from healthy controls, regardless of epidemic peak curve. Thus, serum cytokine patterns provide non-invasive biomarkers useful for COVID-19 diagnosis and prognosis. Further definition of individual cytokines may allow to envision novel therapeutic options and pave the way to set up innovative diagnostic tools.

Assessment of risk factors for multifocal atherosclerosis in the workers of the main professions of coal enterprises in the South of Kuzbass

2020 ◽  
pp. 157-161
Author(s):  
E. S. Filimonov ◽  
O. Yu. Korotenko ◽  
O. A. Rumpel ◽  
O. N. Blazhina
Keyword(s):  
Risk Factors ◽  
Cardiovascular Diseases ◽  
Arterial Hypertension ◽  
Glycated Hemoglobin ◽  
Significant Risk ◽  
Coal Industry ◽  
Atherosclerotic Plaques ◽  
The South ◽  
Coal Miners ◽  
Coal Enterprises

Introduction. The problem of high mortality from cardiovascular diseases is caused, among other things, by asymptomatic atherosclerosis, which proceeds latently for a long time and manifests itself as a serious vascular catastrophe, which is of particular importance for people working at production facilities with difficult and dangerous working conditions.The aim of the study was to assess the risk factors for atherosclerosis and the state of the vascular wall in the workers of the main professions of coal enterprises in the South of Kuzbass.Material and methods. In total, the study included 384 people (men), of whom 266 were the workers in coal mines in the South of Kuzbass and 118 people who were not employed in the coal industry, aged 40 to 55 years. The diagnosis of atherosclerosis was carried out on the ultrasound system “Vivid E9” of the manufacturing company GE using a linear sensor for measuring the thickness of the intima-media complex and visualization of atherosclerotic plaques. To identify significant risk factors, anthropometric, anamnestic data, indices of lipid and carbohydrate metabolism, and the presence of arterial hypertension were studied.Results. Significant differences in the frequency of asymptomatic atherosclerosis in the form of an increase in intima-media thickness by more than 1 mm and / or the presence of atherosclerotic plaques in both groups were not found: 60.2% among the miners and 62.3% among non-coal mining workers (p=0.703); at the same time, the percentage of detection of atherosclerotic plaques in arteries was significantly lower among coal workers — 46.9% versus 60.5% among people in the comparison group (p=0.016). The common risk factors for all examined subjects were arterial hypertension and increased level of glycated hemoglobin; in turn, in coal miners additional risk factors were increased values of low density lipoproteins and waist-hip index, as well as burdened heredity for cardiovascular diseases, and among the individuals not employed in the coal industry it was smoking.Conclusions. The most significant risk factors for atherosclerosis in coal industry workers were arterial hypertension, raised values of glycated hemoglobin, low density lipoproteins and waist-hip index, as well as burdened heredity for cardiovascular diseases. Significant differences in the frequency of asymptomatic atherosclerosis in the form of an increase in the thickness of the intima-media complex of the main arteries and the presence of atherosclerotic plaques in both groups were not established, but the percentage of the detection of atherosclerotic plaques was lower among coal miners.The authors declare no conflict of interests.

Exosome: An Emerging Source of Biomarkers for Human Diseases

2019 ◽  
Vol 19 (6) ◽  
pp. 387-394 ◽  
Author(s):  
Li Xu ◽  
Long-Fei Wu ◽  
Fei-Yan Deng
Keyword(s):  
Breast Milk ◽  
Intercellular Communication ◽  
Translational Medicine ◽  
Disease Diagnosis ◽  
Human Diseases ◽  
Isolation And Identification ◽  
Biomarker Identification ◽  
Biological Features ◽  
Diagnosis And Prognosis ◽  
Novel Biomarkers

Exosomes are 30-120nm long endocytic membrane-derived vesicles, which are secreted by various types of cells and stably present in body fluids, such as plasma, urine, saliva and breast milk. Exosomes participate in intercellular communication. Recently accumulative studies have suggested that exosomes may serve as novel biomarkers for disease diagnosis and prognosis. Herein, we reviewed the biological features of exosomes, technologies for exosome isolation and identification, as well as progress in exosomal biomarker identification, highlighting the relevance of exosome to human diseases and significance and great potential in translational medicine.

scholarly journals The Evolving Landscape of the Molecular Epidemiology of Malignant Pleural Mesothelioma

2021 ◽  
Vol 10 (5) ◽  
pp. 1034
Author(s):  
Sara Lettieri ◽  
Chandra Bortolotto ◽  
Francesco Agustoni ◽  
Filippo Lococo ◽  
Andrea Lancia ◽  
...  
Keyword(s):  
Molecular Epidemiology ◽  
Malignant Pleural Mesothelioma ◽  
Strong Association ◽  
Pleural Mesothelioma ◽  
The European Union ◽  
Long Latency ◽  
Substantial Risk ◽  
Novel Biomarkers ◽  
Definition Of ◽  
Novel Concept

Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy that most commonly affects the pleural lining of the lungs. It has a strong association with exposure to biopersistent fibers, mainly asbestos (80% of cases) and—in specific geographic regions—erionite, zeolites, ophiolites, and fluoro-edenite. Individuals with a chronic exposure to asbestos generally have a long latency with no or few symptoms. Then, when patients do become symptomatic, they present with advanced disease and a worse overall survival (about 13/15 months). The fibers from industrial production not only pose a substantial risk to workers, but also to their relatives and to the surrounding community. Modern targeted therapies that have shown benefit in other human tumors have thus far failed in MPM. Overall, MPM has been listed as orphan disease by the European Union. However, molecular high-throughput profiling is currently unveiling novel biomarkers and actionable targets. We here discuss the natural evolution, mainly focusing on the novel concept of molecular epidemiology. The application of innovative endpoints, quantification of genetic damages, and definition of genetic susceptibility are reviewed, with the ultimate goal to point out new tools for screening of exposed subject and for designing more efficient diagnostic and therapeutic strategies.

scholarly journals Recent Discoveries of Macromolecule- and Cell-Based Biomarkers and Therapeutic Implications in Breast Cancer

2021 ◽  
Vol 22 (2) ◽  
pp. 636
Author(s):  
Hsing-Ju Wu ◽  
Pei-Yi Chu
Keyword(s):  
Breast Cancer ◽  
Normal Breast ◽  
New Drugs ◽  
Cancer Type ◽  
Luminal A ◽  
Luminal B ◽  
Therapeutic Implications ◽  
Whole Cells ◽  
Diagnosis And Prognosis ◽  
Novel Biomarkers

Breast cancer is the most commonly diagnosed cancer type and the leading cause of cancer-related mortality in women worldwide. Breast cancer is fairly heterogeneous and reveals six molecular subtypes: luminal A, luminal B, HER2+, basal-like subtype (ER−, PR−, and HER2−), normal breast-like, and claudin-low. Breast cancer screening and early diagnosis play critical roles in improving therapeutic outcomes and prognosis. Mammography is currently the main commercially available detection method for breast cancer; however, it has numerous limitations. Therefore, reliable noninvasive diagnostic and prognostic biomarkers are required. Biomarkers used in cancer range from macromolecules, such as DNA, RNA, and proteins, to whole cells. Biomarkers for cancer risk, diagnosis, proliferation, metastasis, drug resistance, and prognosis have been identified in breast cancer. In addition, there is currently a greater demand for personalized or precise treatments; moreover, the identification of novel biomarkers to further the development of new drugs is urgently needed. In this review, we summarize and focus on the recent discoveries of promising macromolecules and cell-based biomarkers for the diagnosis and prognosis of breast cancer and provide implications for therapeutic strategies.

scholarly journals Circulating Biomarkers of Colorectal Cancer (CRC)—Their Utility in Diagnosis and Prognosis

2021 ◽  
Vol 10 (11) ◽  
pp. 2391
Author(s):  
Marta Łukaszewicz-Zając ◽  
Barbara Mroczko
Keyword(s):  
Colorectal Cancer ◽  
Inflammatory Mediators ◽  
Colorectal Adenomas ◽  
Global Burden ◽  
Circulating Biomarkers ◽  
Specific Nature ◽  
Diagnosis And Prognosis ◽  
Specific Proteins ◽  
Novel Biomarkers ◽  
Number Of Publications

The global burden of colorectal cancer (CRC) is expected to increase, with 2.2 million new cases and 1.1 million annual deaths by 2030. Therefore, the establishment of novel biomarkers useful in the early diagnosis of CRC is of utmost importance. A number of publications have documented the significance of the overexpression of several specific proteins, such as inflammatory mediators, in CRC progression. However, little is known about the potential utility of these proteins as circulating blood tumor biomarkers of CRC. Therefore, in the present review we report the results of our previous original studies as well as the findings of other authors who investigated whether inflammatory mediators might be used as novel biomarkers in the diagnosis and prognosis of CRC. Our study revealed that among all of the tested proteins, serum M-CSF, CXCL-8, IL-6 and TIMP-1 have the greatest value in the diagnosis and progression of CRC. Serum TIMP-1 is useful in differentiating between CRC and colorectal adenomas, whereas M-CSF and CRP are independent prognostic factors for the survival of patients with CRC. This review confirms the promising significance of these proteins as circulating biomarkers for CRC. However, due to their non-specific nature, further validation of their sensitivity and specificity is required.

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