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Journal articles on the topic 'Potential biomaker'

Author: Grafiati

Published: 6 September 2023

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1

Pavoni-Ferreira, P. C., A. S. Petrilli, M. T. Alves, R. Jesus-Garcia Filho, and S. R. Toledo. "Angiogenic biomaker study in osteosarcoma." Journal of Clinical Oncology 27, no. 15_suppl (2009): e21507-e21507. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.e21507.

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e21507 Background: This study represents a prospective assessment of angiogenesis genes mRNA expression in tumors and blood from patients treated with pre- and post-operative Brazilian osteosarcoma protocol (GCBTO 2006) that introduce metronomic chemotherapy (anti-angiogenic) in order to try to increase survival of osteosarcoma patients. Methods: Tumor samples from 27 patients were analyzed before and after chemotherapy to determine VEGFA, VEGFR1, VEGFR2, PDGFC, SDF1 and TSP1 genes expression profile by Quantitative Real Time PCR. Also, blood samples of these patients were investigated pre- an

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Hashimoto, T., T. Hata, Y. Mori, et al. "P17-3 Evaluating event-related potential P50 suppression for diagnostic biomaker for psychiatric disorders." Clinical Neurophysiology 121 (October 2010): S203—S204. http://dx.doi.org/10.1016/s1388-2457(10)60836-x.

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Li, Chen, Hui Geng, Linhua Ji, Xiaojing Ma, Qichao Yin, and Hua Xiong. "ESM-1: A Novel Tumor Biomaker and its Research Advances." Anti-Cancer Agents in Medicinal Chemistry 19, no. 14 (2019): 1687–94. http://dx.doi.org/10.2174/1871520619666190705151542.

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Background:Cancer kills nearly 9,000,000 people worldwide, and its mortality was reported up to 28% in the past decade. Few available tumor markers have been known to help early stage diagnosis. In this study, Endocan was taken as a novel tumor marker, which has been found in many cancers related to cancer cell proliferation, neoangiogenesis, etc.Methods:Studies on Endocan and its correlation with cancer were reviewed, and key points of meaningful studies on the structure, pathways and targeted agents of Endocan were drawn.Results:Endocan leads to tumorigenesis and promotes tumor cells prolife

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Nafi’u, S. A., K. Suleiman, M. K. Ahmad, and M. Zakariyya. "Effect of Paraquat Herbicide on Oxidative Stress Biomaker Enzyme Activities in C. Gariepinus." Dutse Journal of Pure and Applied Sciences 7, no. 3b (2022): 48–59. http://dx.doi.org/10.4314/dujopas.v7i3b.6.

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Toxicity assessment was conducted for 96hr exposure duration using synthetic herbicide (paraquat dichloride 276g/L) on Claris gariepinus with mean weight range of 27.2 - 29.7g and mean length 10.95 -15.5cm. They were exposed to varying herbicide concentrations of 0.0, 3.45, 6.90, 10.35 and 13.5mg/L with 5-levels exposure concentrations in a Completely Randomized Design (CRD). Liver, gills and kidney tissues were analyzed for oxidative stress enzymes activities using Solarbio science assay kit (BC1170, 0170 and 0020). Four days lethal concentration (LC50) value for 96hr was found to be 7.298mg/

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Liu, Tianju, Andrew E. Rinke, Kevin Flaherty, and Sem Hin Phan. "Soluble B7H3 induction in pulmonary fibrosis is associated with disease severity." Journal of Immunology 204, no. 1_Supplement (2020): 146.9. http://dx.doi.org/10.4049/jimmunol.204.supp.146.9.

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Abstract Idiopathic pulmonary fibrosis (IPF) is a progressive disease with limited therapeutic options. Both innate and adaptive immune mechanisms contribute to fibrogenesis. B7 family member B7H3, identified as important regulator of the immune system, has been implicated in cancer, graft-versus host disease, and allergy-related disease. Increased soluble B7H3 (sB7H3) was associated with enhanced lung fibrosis in mice receiving BLM-primed BM. Elevated sB7H3 in bronchoalveolar lavage fluid was associated with acute exacerbation IPF. To investigate whether induced sB7H3 could be used as a bioma

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B. Veena, B. Veena. "Bioinformatics Analysis of Mirna Data for Potential Biomarker Discovery." International Journal of Scientific Research 2, no. 8 (2012): 45–47. http://dx.doi.org/10.15373/22778179/aug2013/16.

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McNamara, Aoife E., and Lorraine Brennan. "Potential of food intake biomarkers in nutrition research." Proceedings of the Nutrition Society 79, no. 4 (2020): 487–97. http://dx.doi.org/10.1017/s0029665120007053.

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The influence of dietary habits on health/disease is well-established. Accurate dietary assessment is essential to understand metabolic pathways/processes involved in this relationship. In recent years, biomarker discovery has become a major area of interest for improving dietary assessment. Well-established nutrient intake biomarkers exist; however, there is growing interest in identifying and using biomarkers for more accurate and objective measurements of food intake. Metabolomics has emerged as a key tool used for biomarker discovery, employing techniques such as NMR spectroscopy, or MS. T

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K. Mohammed, Lona, and Sarhang S. Gul. "Diagnostic Potential of Salivary Biomarker Profiles in Epidemiological Survey of Periodontitis." Sulaimani dental journal 7, no. 2 (2020): 36–44. http://dx.doi.org/10.17656/sdj.10114.

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Priya, Shalini, Alina Peluso, Mayanka Chandra Shekhar, Ioana Danciu, Jordan Miller, and Heidi A. Hanson. "Abstract 4191: Assessing performance of biomarker extraction from electronic health records: Data augmentation methods for a hierarchical self-attention network (HiSAN)." Cancer Research 83, no. 7_Supplement (2023): 4191. http://dx.doi.org/10.1158/1538-7445.am2023-4191.

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Abstract Background: Extraction of HER2 status from electronic health records (EHR) may expedite clinical trials matching and be used for survivorship research. Deep learning (DL) algorithms have potential to extract this data; however, inherent class imbalance leads to reduced model performance. We compare state of the art strategies to handle class imbalance in models trained to extract HER2 status. This comparative analysis may be used as a guideline for HER2 extraction. Methods: 680,117 pathology reports collected from 2017-2021 by the National Cancer Institutes’ Surveillance, Epidemiology

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Ebadi, Maryam, and Vera C. Mazurak. "Potential Biomarkers of Fat Loss as a Feature of Cancer Cachexia." Mediators of Inflammation 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/820934.

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Fat loss is associated with shorter survival and reduced quality of life in cancer patients. Effective intervention for fat loss in cachexia requires identification of the condition using prognostic biomarkers for early detection and prevention of further depletion. No biomarkers of fat mass alterations have been defined for application to the neoplastic state. Several inflammatory cytokines have been implicated in mediating fat loss associated with cachexia; however, plasma levels may not relate to adipose atrophy. Zinc-α2-glycoprotein may be a local catabolic mediator within adipose tissue r

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P, Gupta. "Role of Bioinformatics in Identifying Potential Biomarkers of Cervical Cancer." Open Access Journal of Microbiology & Biotechnology 8, no. 1 (2023): 1–8. http://dx.doi.org/10.23880/oajmb-16000252.

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Cervical cancer is the one of the leading causes of death among women worldwide. The cancer evolves over a longer period of time and can be screened by different laboratory tests. In developed countries although the rate of incidence and mortality has been reduced, in developing countries the incidence rate still remains high. A large number of factors have been reported that promote the risk of cervical cancer. Some host factors play crucial role in the induction of the malignant transformation. These include micro RNAs that have known to act as oncogenes or tumor suppressor genes in tumors o

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Prentice, Ross L. "Criteria for Acceptable Dietary Intake Biomarkers." Cancer Epidemiology, Biomarkers & Prevention 31, no. 6 (2022): 1151–53. http://dx.doi.org/10.1158/1055-9965.epi-22-0180.

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Abstract Dietary intake biomarkers that can be written as actual intake, plus ‘error’ that is independent of actual intake and confounding factors can substitute for actual intake in disease association analyses. Also, such biomarkers can be used to develop calibration equations using self-reported diet and participant measures, and biomarker-calibrated intakes can be calculated in larger cohorts for use in disease association analyses. Criteria for biomarkers, and for biomarker-calibrated intakes, arise by working back from properties needed for valid disease association analyses. Accordingly

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Gautam, Shailendra K., Parvez Khan, Gopalakrishnan Natarajan, et al. "Mucins as Potential Biomarkers for Early Detection of Cancer." Cancers 15, no. 6 (2023): 1640. http://dx.doi.org/10.3390/cancers15061640.

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Early detection significantly correlates with improved survival in cancer patients. So far, a limited number of biomarkers have been validated to diagnose cancers at an early stage. Considering the leading cancer types that contribute to more than 50% of deaths in the USA, we discuss the ongoing endeavors toward early detection of lung, breast, ovarian, colon, prostate, liver, and pancreatic cancers to highlight the significance of mucin glycoproteins in cancer diagnosis. As mucin deregulation is one of the earliest events in most epithelial malignancies following oncogenic transformation, the

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Feng, Ziding, Jacob Kagan, Margaret Pepe, et al. "The Early Detection Research Network's Specimen Reference Sets: Paving the Way for Rapid Evaluation of Potential Biomarkers." Clinical Chemistry 59, no. 1 (2013): 68–74. http://dx.doi.org/10.1373/clinchem.2012.185140.

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BACKGROUND The mission of the National Cancer Institute's Early Detection Research Network (EDRN) is to identify and validate cancer biomarkers for clinical use. Since its inception, EDRN investigators have learned a great deal about the process of validating biomarkers for clinical use. Translational research requires a broad spectrum of research expertise, and coordinating collaborative activities can be challenging. The EDRN has developed a robust triage and validation system that serves the roles of both “facilitator” and “brake.” CONTENT The system consists of (a) establishing a reference

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Gromova, Mariya, Annegret Vaggelas, Gabriele Dallmann, and Diane Seimetz. "Biomarkers: Opportunities and Challenges for Drug Development in the Current Regulatory Landscape." Biomarker Insights 15 (January 2020): 117727192097465. http://dx.doi.org/10.1177/1177271920974652.

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Biomarkers are widely used at every stage of drug discovery and development. Utilisation of biomarkers has a potential to make drug discovery, development and approval processes more efficient. An overview of the current global regulatory landscape is presented in this article with particular emphasis on the validation and qualification of biomarkers, as well as legal framework for companion diagnostics. Furthermore, this article shows how the number of approved drugs with at least 1 biomarker used during development (biomarker acceptance) is affected by the recent advances in the biomarker re

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Adki, Kaveri M., and Yogesh A. Kulkarni. "Potential Biomarkers in Diabetic Retinopathy." Current Diabetes Reviews 16, no. 9 (2020): 971–83. http://dx.doi.org/10.2174/1573399816666200217092022.

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Background: Diabetic retinopathy is one of the important complications of diabetes. In major cases, diabetic retinopathy is unnoticed until the irreversible damage to eye occurs and leads to blurred vision and, eventually, blindness. Objective: The pathogenesis and diagnosis of diabetic retinopathy are very complex and not fully understood. Currently, well-established laser techniques and medications are available, but these treatment options have their own shortcomings on biological systems. Biomarkers can help to overcome this problem due to easy, fast and economical options for diagnosis of

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Li, Yuanzhang, Robert Yolken, David N. Cowan, Michael R. Boivin, and David W. Niebuhr. "Potential Biomarkers Selection for Bipolar Disorder Identification." Research in Health Science 2, no. 3 (2017): 262. http://dx.doi.org/10.22158/rhs.v2n3p262.

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<p><em>A biomarker is a measurable indicator of the severity or presence of some disease. A biomarker is anything that can be used as an indicator of a particular disease state or some other physiological state of an organism. The space Decomposition-Gradient-Regression (DGR) method has been developed (Li et al., 2012; Li et al., 2015) to select biomarkers for schizophrenia. This study performs the DGR approach on data for bipolar disorder patients, which contains 56 biomarkers and 8 infectious agent’s antibodies. Serum specimens were collected from 132 United States military servi

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Mesarcova, L., J. Kottferova, L. Skurkova, L. Leskova, and N. Kmecova. "Analysis of cortisol in dog hair - a potential biomarker of chronic stress: a review." Veterinární Medicína 62, No. 7 (2017): 363–76. http://dx.doi.org/10.17221/19/2017-vetmed.

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Cortisol, which is produced in the adrenal glands, is an endogenous glucocorticoid hormone that delivers its hormonal message to cells by acting on glucocorticoid receptors. It is one of the main stress hormones responsible for stress responses in animals and humans, and its overproduction is characteristic of certain diseases. While acute stress disorder can be evaluated by means of measuring the cortisol concentration in blood and urine, chronic stress disorder can be detected by monitoring the cortisol concentration in fur or hair. Hair collection is simple, inexpensive and non-invasive, an

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Considine, Elizabeth C., Ali S. Khashan, and Louise C. Kenny. "Screening for Preterm Birth: Potential for a Metabolomics Biomarker Panel." Metabolites 9, no. 5 (2019): 90. http://dx.doi.org/10.3390/metabo9050090.

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The aim of this preliminary study was to investigate the potential of maternal serum to provide metabolomic biomarker candidates for the prediction of spontaneous preterm birth (SPTB) in asymptomatic pregnant women at 15 and/or 20 weeks’ gestation. Metabolomics LC-MS datasets from serum samples at 15- and 20-weeks’ gestation from a cohort of approximately 50 cases (GA < 37 weeks) and 55 controls (GA > 41weeks) were analysed for candidate biomarkers predictive of SPTB. Lists of the top ranked candidate biomarkers from both multivariate and univariate analyses were produced. At the 20 week

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Santri, Ichtiarini Nurullita, Lalu Muhammad Irham, Gina Noor Djalilah, et al. "Identification of Hub Genes and Potential Biomarkers for Childhood Asthma by Utilizing an Established Bioinformatic Analysis Approach." Biomedicines 10, no. 9 (2022): 2311. http://dx.doi.org/10.3390/biomedicines10092311.

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Childhood asthma represents a heterogeneous disease resulting from the interaction between genetic factors and environmental exposures. Currently, finding reliable biomarkers is necessary for the clinical management of childhood asthma. However, only a few biomarkers are being used in clinical practice in the pediatric population. In the long run, new biomarkers for asthma in children are required and would help direct therapy approaches. This study aims to identify potential childhood asthma biomarkers using a genetic-driven biomarkers approach. Herein, childhood asthma-associated Single Nucl

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Hariadi, Hariadi, Maia Thalia Giani, and Silvia Handika Anggraeni. "Potential Biomarkers as Early Detection of Diabetic Cardiomyopathy." Cardiovascular and Cardiometabolic Journal (CCJ) 2, no. 2 (2021): 95. http://dx.doi.org/10.20473/ccj.v2i2.2021.95-109.

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Abstract: Diabetes mellitus (DM) is one of the most prevalent and burdensome among chronic disease worldwide. Its complications accelerate mortality rate within population. Diabetic cardiomyopathy (DCM) is one of diabetes macrovascular complications, which symptoms are frequently unforeseen. Advances in pathogenesis understanding DCM underlying mechanisms remain not fully perceived. Current diagnostic approach of DCM can hardly determine diabetic patients with asymptomatic cardiomyopathy. Previous studies suggested biomarkers might detect early stage DCM. There are numerous selective biomarker

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Galen, Gaby van, Emil Olsen, and Natalia Siwinska. "Biomarkers of Kidney Disease in Horses: A Review of the Current Literature." Animals 12, no. 19 (2022): 2678. http://dx.doi.org/10.3390/ani12192678.

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Creatinine only allows detection of kidney disease when 60 to 75% of the glomerular function is lost and is therefore not an ideal marker of disease. Additional biomarkers could be beneficial to assess kidney function and disease. The objectives are to describe new equine kidney biomarkers. This systematic review assesses the available literature, including the validation process and reference values, following which the authors suggest recommendations for clinical use. SDMA may have some potential as equine kidney biomarker, but there is currently a lack of evidence that SDMA offers any advan

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Leung, Jason Hongting, Benjamin Ng, and Wei-Wen Lim. "Interleukin-11: A Potential Biomarker and Molecular Therapeutic Target in Non-Small Cell Lung Cancer." Cells 11, no. 14 (2022): 2257. http://dx.doi.org/10.3390/cells11142257.

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Non-small cell lung cancer (NSCLC) accounts for 85% of lung cancer and is a fast progressive disease when left untreated. Identification of potential biomarkers in NSCLC is an ongoing area of research that aims to detect, diagnose, and prognosticate patients early to optimize treatment. We review the role of interleukin-11 (IL11), a stromal-cell derived pleiotropic cytokine with profibrotic and cellular remodeling properties, as a potential biomarker in NSCLC. This review identifies the need for biomarkers in NSCLC, the potential sources of IL11, and summarizes the available information levera

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Thorsen, Stine, Irina Gromova, Ib Christensen, et al. "Gel-Based Proteomics of Clinical Samples Identifies Potential Serological Biomarkers for Early Detection of Colorectal Cancer." International Journal of Molecular Sciences 20, no. 23 (2019): 6082. http://dx.doi.org/10.3390/ijms20236082.

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The burden of colorectal cancer (CRC) is considerable—approximately 1.8 million people are diagnosed each year with CRC and of these about half will succumb to the disease. In the case of CRC, there is strong evidence that an early diagnosis leads to a better prognosis, with metastatic CRC having a 5-year survival that is only slightly greater than 10% compared with up to 90% for stage I CRC. Clearly, biomarkers for the early detection of CRC would have a major clinical impact. We implemented a coherent gel-based proteomics biomarker discovery platform for the identification of clinically usef

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Hermann, Stefanie, Christian Grätz, Benedikt Kirchner, and Michael W. Pfaffl. "Extracellular vesicle-derived microRNA biomarkers: goals and pitfalls." Extracellular vesicles as biomarkers – in pathophysiology, physical education and home office? 2, no. 1 (2020): 42–47. http://dx.doi.org/10.47184/tev.2020.01.04.

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Liquid biopsy-derived extracellular vesicles (EVs) are an auspicious source for transcriptomic biomarker studies. Here, we review the potential of EV microRNAs (miRNAs) biomarkers, exemplary outline commonly used methods to elucidate new biomarker signatures, and pivotally discuss their applicability at present. Keywords: extracellular vesicles, liquid biopsies, transcriptomic biomarkers, microRNAs

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Mathur, Deepali, Bikash Kumar Mishra, Soumyashree Rout, et al. "Potential Biomarkers Associated with Multiple Sclerosis Pathology." International Journal of Molecular Sciences 22, no. 19 (2021): 10323. http://dx.doi.org/10.3390/ijms221910323.

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Multiple sclerosis (MS) is a complex disease of the central nervous system (CNS) that involves an intricate and aberrant interaction of immune cells leading to inflammation, demyelination, and neurodegeneration. Due to the heterogeneity of clinical subtypes, their diagnosis becomes challenging and the best treatment cannot be easily provided to patients. Biomarkers have been used to simplify the diagnosis and prognosis of MS, as well as to evaluate the results of clinical treatments. In recent years, research on biomarkers has advanced rapidly due to their ability to be easily and promptly mea

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Neuhaus, Jochen, and Bo Yang. "Liquid Biopsy Potential Biomarkers in Prostate Cancer." Diagnostics 8, no. 4 (2018): 68. http://dx.doi.org/10.3390/diagnostics8040068.

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Prostate cancer (PCa) is the second most common cancer in men worldwide with an incidence of 14.8% and a mortality of 6.6%. Shortcomings in comprehensive medical check-ups in low- and middle-income countries lead to delayed detection of PCa and are causative of high numbers of advanced PCa cases at first diagnosis. The performance of available biomarkers is still insufficient and limited applicability, including logistical and financial burdens, impedes comprehensive implementation into health care systems. There is broad agreement on the need of new biomarkers to improve (i) early detection o

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Morris, Adam D., Anthony W. Rowbottom, Francis L. Martin, Alexander Woywodt, and Ajay P. Dhaygude. "Biomarkers in ANCA-Associated Vasculitis: Potential Pitfalls and Future Prospects." Kidney360 2, no. 3 (2021): 586–97. http://dx.doi.org/10.34067/kid.0006432020.

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Over the past 3 decades, significant advancements in the understanding of the pathophysiology of ANCA-associated vasculitis has led to the development of a multitude of potential candidate biomarkers. Accompanied by the advent of increasingly effective therapeutic strategies, the need for a dependable biomarker to help determine the extent of disease activity and risk of relapse is ever present. Implementation of such a biomarker would enable tailored therapy, optimizing disease control while helping to mitigate unnecessary exposure to therapy and potential treatment-related damage. Although f

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Beattie, Erin, Jeffery Edmiston, Patrudu Makena, Elizabeth Mason, Mike McEwan, and Krishna Prasad. "Review of recent lung biomarkers of potential harm/effect for tobacco research." F1000Research 10 (December 17, 2021): 1293. http://dx.doi.org/10.12688/f1000research.55411.1.

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Biomarkers of potential harm (BoPH) are indicators of biological perturbations which may contribute to the pathophysiology of disease. In this review, we critically assessed the published data on lung-related BoPH in human lung disease for potential use in evaluating the effects of tobacco and nicotine products. A Scopus literature search was conducted on lung disease biomarkers used in a clinical setting over the last 10 years. We identified 1171 papers which were further screened using commercial software (Sciome SWIFT-Active Screener) giving 68 publications that met our inclusion criteria (

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Zainal, N. H. M., R. Abas, and S. F. Mohamad Asri. "Childhood Allergy Disease, Early Diagnosis, and the Potential of Salivary Protein Biomarkers." Mediators of Inflammation 2021 (October 8, 2021): 1–12. http://dx.doi.org/10.1155/2021/9198249.

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Allergic disease has risen to epidemic proportions since the last decade and is among the most common noncommunicable, chronic diseases in children and adolescents worldwide. Allergic disease usually occurs in early life; thus, early biomarkers of allergic susceptibility are required for preventive measures to high-risk infants which enable early interventions to decrease allergic severity. However, to date, there is no reliable general or specific allergy phenotype detection method that is easy and noninvasive for children. Most reported allergic phenotype detection methods are invasive, such

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Wang, Li, and Jing Sun. "ASPN Is a Potential Biomarker and Associated with Immune Infiltration in Endometriosis." Genes 13, no. 8 (2022): 1352. http://dx.doi.org/10.3390/genes13081352.

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Objective: Endometriosis is a benign gynecological disease characterized by distant metastasis. Previous studies have discovered abnormal numbers and function of immune cells in endometriotic lesions. We aimed to find potential biomarkers of endometriosis and to explore the relationship between ASPN and the immune microenvironment of endometriosis. Methods: We obtained the GSE141549 and GSE7305 datasets containing endometriosis and normal endometrial samples from the Gene Expression Omnibus database (GEO). In the GSE141549 dataset, differentially expressed genes (DEGs) were found. The Least Ab

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Kovač, Valerija, and Vladka Čurin Šerbec. "Prion Proteins Without the Glycophosphatidylinositol Anchor: Potential Biomarkers in Neurodegenerative Diseases." Biomarker Insights 13 (January 1, 2018): 117727191875664. http://dx.doi.org/10.1177/1177271918756648.

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Prion protein (PrP) is a biomolecule that is involved in neuronal signaling, myelinization, and the development of neurodegenerative diseases. In the cell, PrP is shed by the ADAM10 protease. This process generates PrP molecules that lack glycophosphatidylinositol anchor, and these molecules incorporate into toxic aggregates and neutralize toxic oligomers. Due to this dual role, these molecules are important biomarkers for neurodegenerative diseases. In this review, we present shed PrP as a potential biomarker, with a focus on PrP226*, which may be the main biomarker for predicting neurodegene

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Salas, Maribel, Maxine Gossell-Williams, Priyanka Yalamanchili, et al. "The Use of Biomarkers in Pharmacovigilance: A Systematic Review of the Literature." Biomarker Insights 18 (January 2023): 117727192311645. http://dx.doi.org/10.1177/11772719231164528.

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Background: The use of biomarkers varies from disease etiognosis and diagnosis to signal detection, risk prediction, and management. Biomarker use has expanded in recent years, however, there are limited reviews on the use of biomarkers in pharmacovigilance and specifically in the monitoring and management of adverse drug reactions (ADRs). Objective: The objective of this manuscript is to identify the multiple uses of biomarkers in pharmacovigilance irrespective of the therapeutic area. Design: This is a systematic review of the literature. Data Sources and Methods: Embase and MEDLINE database

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Vrba, Lukas, and Bernard W. Futscher. "DNA methylation changes in biomarker loci occur early in cancer progression." F1000Research 8 (December 16, 2019): 2106. http://dx.doi.org/10.12688/f1000research.21584.1.

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Tumor-specific DNA methylation can be used for cancer diagnostics and monitoring. We have recently reported a set of DNA methylation biomarkers that can distinguish plasma samples from lung cancer patients versus healthy controls with high sensitivity and specificity. Furthermore, the DNA methylation signal from the biomarker loci detected in plasma samples correlated with tumor size and decreased after surgical resection of lung tumors. In order to determine the timing of DNA methylation of these loci during carcinogenesis and thus the potential of the biomarkers to detect early stages of the

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Vrba, Lukas, and Bernard W. Futscher. "DNA methylation changes in biomarker loci occur early in cancer progression." F1000Research 8 (February 14, 2020): 2106. http://dx.doi.org/10.12688/f1000research.21584.2.

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Tumor-specific DNA methylation can be used for cancer diagnostics and monitoring. We have recently reported a set of DNA methylation biomarkers that can distinguish plasma samples from lung cancer patients versus healthy controls with high sensitivity and specificity. Furthermore, the DNA methylation signal from the biomarker loci detected in plasma samples correlated with tumor size and decreased after surgical resection of lung tumors. In order to determine the timing of DNA methylation of these loci during carcinogenesis and thus the potential of the biomarkers to detect early stages of the

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Wallace, Robert G., Laura C. Twomey, Marc-Antoine Custaud, et al. "Potential Diagnostic and Prognostic Biomarkers of Epigenetic Drift within the Cardiovascular Compartment." BioMed Research International 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/2465763.

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Biomarkers encompass a wide range of different measurable indicators, representing a tangible link to physiological changes occurring within the body. Accessibility, sensitivity, and specificity are significant factors in biomarker suitability. New biomarkers continue to be discovered, and questions over appropriate selection and assessment of their usefulness remain. If traditional markers of inflammation are not sufficiently robust in their specificity, then perhaps alternative means of detection may provide more information. Epigenetic drift (epigenetic modifications as they occur as a dire

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Zhang, Zhen, Dai Zhang, Yaping Cui, Yongsheng Qiu, Changhong Miao, and Xihua Lu. "Identification of microRNA-451a as a Novel Circulating Biomarker for Colorectal Cancer Diagnosis." BioMed Research International 2020 (August 27, 2020): 1–18. http://dx.doi.org/10.1155/2020/5236236.

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Background. Colorectal cancer (CRC) is one of the leading causes of cancer death worldwide. Successful treatment of CRC relies on accurate early diagnosis, which is currently a challenge due to its complexity and personalized pathologies. Thus, novel molecular biomarkers are needed for early CRC detection. Methods. Gene and microRNA microarray profiling of CRC tissues and miRNA-seq data were analyzed. Candidate microRNA biomarkers were predicted using both CRC-specific network and miRNA-BD tool. Validation analyses were carried out to interrogate the identified candidate CRC biomarkers. Result

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Bieniaś, Beata, and Przemysław Sikora. "Potential Novel Biomarkers of Obstructive Nephropathy in Children with Hydronephrosis." Disease Markers 2018 (September 13, 2018): 1–9. http://dx.doi.org/10.1155/2018/1015726.

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Obstructive nephropathy (ON) secondary to the congenital hydronephrosis (HN) is one of the most common causes of chronic kidney disease in children. Neither currently used imaging techniques nor conventional laboratory parameters are sufficient to assess the onset and outcome of this condition; hence, there is a need to prove the usefulness of newly discovered biomarkers of kidney injury in this respect. The purpose of the study was to assess the urinary excretion of alpha-GST, pi-GST, NGAL, and KIM-1 and the serum level of NGAL in children with congenital unilateral hydronephrosis secondary t

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Sims, Tasha Nicholle, Bo Gao, Robert Phillips, and Israel Lowy. "Potential predictive and prognostic biomarkers identified in baseline plasma samples from the VELOUR trial." Journal of Clinical Oncology 33, no. 3_suppl (2015): 638. http://dx.doi.org/10.1200/jco.2015.33.3_suppl.638.

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638 Background: Biomarkers of resistance or susceptibility to vascular endothelial growth factor (VEGF) inhibition have not been validated. Ziv-aflibercept (ZALTRAP), a fusion protein that binds and neutralizes ligands of VEGFR1 and VEGFR2 (e.g., VEGFA, PLGF, and VEGFB), is approved for the treatment of metastatic colorectal cancer (mCRC) in combination with FOLFIRI in patients who have progressed after oxaliplatin therapy. We are currently analyzing plasma samples from VELOUR, the registration trial of FOLFIRI +/- ziv-aflibercept, in an effort to identify prognostic and predictive factors. Me

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De Jesus, J. R., and Marco Arruda. "Human disease biomarkers: challenges, advances, and trends in their validation." Journal of Integrated OMICS 11, no. 2 (2021): 16–28. http://dx.doi.org/10.5584/jiomics.v11i2.207.

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Biomarkers are important tools in the medical field, once they allow better prediction, characterization, and treatment of diseases. In this scenario, it is essential that biomarkers are highly accurate. Thus, biomarker validation is an essential part of ensuring the effectiveness of a biomarker. Validation of biomarkers is the process by which biomarkers are evaluated for accuracy and consistency, as well as their ability to inform the condition of health or disease. Although, there is no unique measure that can be used to determine the validity for all biomarkers, there are general criteria

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Lineham, B., A. Altaie, P. Harwood, D. McGonagle, H. Pandit, and E. Jones. "A SYSTEMATIC REVIEW OF THE POTENTIAL VALUE OF SYNOVIAL FLUID BIOMARKERS TO PREDICT CLINICAL OUTCOMES IN CARTILAGE REPAIR TREATMENTS." Orthopaedic Proceedings 105-B, SUPP_8 (2023): 144. http://dx.doi.org/10.1302/1358-992x.2023.8.144.

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Multiple biochemical biomarkers have been previously investigated for the diagnosis, prognosis and response to treatment of articular cartilage damage, including osteoarthritis (OA). Synovial fluid (SF) biomarker measurement is a potential method to predict treatment response and effectiveness. However, the significance of different biomarkers and their correlation to clinical outcomes remains unclear. This systematic review evaluated current SF biomarkers used in investigation of cartilage degeneration or regeneration in the knee joint and correlated these biomarkers with clinical outcomes fo

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Zhang, Xueli, Hong Zhang, Chuanwen Fan, Camilla Hildesjö, Bairong Shen, and Xiao-Feng Sun. "Loss of CHGA Protein as a Potential Biomarker for Colon Cancer Diagnosis: A Study on Biomarker Discovery by Machine Learning and Confirmation by Immunohistochemistry in Colorectal Cancer Tissue Microarrays." Cancers 14, no. 11 (2022): 2664. http://dx.doi.org/10.3390/cancers14112664.

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Background. The incidence of colorectal cancers has been constantly increasing. Although the mortality has slightly decreased, it is far from satisfaction. Precise early diagnosis for colorectal cancer has been a great challenge in order to improve patient survival. Patients and Methods. We started with searching for protein biomarkers based on our colorectal cancer biomarker database (CBD), finding differential expressed genes (GEGs) and non-DEGs from RNA sequencing (RNA-seq) data, and further predicted new biomarkers of protein–protein interaction (PPI) networks by machine learning (ML) meth

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Xu, Hong, Jinwei Xie, Shaoyun Zhang, Duan Wang, Zeyu Huang, and Zongke Zhou. "Potential Blood Biomarkers for Diagnosing Periprosthetic Joint Infection: A Single-Center, Retrospective Study." Antibiotics 11, no. 4 (2022): 505. http://dx.doi.org/10.3390/antibiotics11040505.

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Background: Blood biomarkers are first-line tools for identifying periprosthetic joint infection (PJI). C-reactive protein (CRP) is currently recognized as the standard biomarker for PJI diagnosis. Other recently reported novel biomarkers, including plasma fibrinogen, platelet count, monocyte/lymphocyte ratio (MLR), neutrophil/lymphocyte ratio (NLR), and platelet count/lymphocyte ratio (PLR), have also shown promise in diagnosing PJI. This study aimed to evaluate whether these biomarkers were superior to CRP for identifying PJI. Methods: Patients who underwent revision hip or knee arthroplasty

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Casey, David A. "Event-related Potentials and the Diagnosis of Alzheimer’s Disease— The COGNISION™ System." US Neurology 06, no. 02 (2010): 34. http://dx.doi.org/10.17925/usn.2010.06.02.34.

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Alzheimer’s disease is a major cause of cognitive decline among older people. Current diagnostic approaches rely primarily on cognitive symptoms. Recently proposed changes in the definition of the disease place more emphasis on the use of biomarkers (such as neuroimaging or cerebrospinal fluid markers) in the hope of allowing earlier and more definitive diagnosis for research and, eventually, clinical purposes. Event-related potentials (ERP) represent another promising biomarker approach. Alzheimer’s disease has been demonstrated to have a recognizable ERP signature. Recent advances in ERP tec

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Jung, Chan-Young, and Tae-Hyun Yoo. "Pathophysiologic Mechanisms and Potential Biomarkers in Diabetic Kidney Disease." Diabetes & Metabolism Journal 46, no. 2 (2022): 181–97. http://dx.doi.org/10.4093/dmj.2021.0329.

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Although diabetic kidney disease (DKD) remains the leading cause of end-stage kidney disease eventually requiring chronic kidney replacement therapy, the prevalence of DKD has failed to decline over the past 30 years. In order to reduce disease prevalence, extensive research has been ongoing to improve prediction of DKD onset and progression. Although the most commonly used markers of DKD are albuminuria and estimated glomerular filtration rate, their limitations have encouraged researchers to search for novel biomarkers that could improve risk stratification. Considering that DKD is a complex

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Li, Zhuoyuan, Hua Lin, Qi Zhang, et al. "Individual Proportion Loss of Functional Connectivity Strength: A Novel Individual Functional Connectivity Biomarker for Subjective Cognitive Decline Populations." Biology 12, no. 4 (2023): 564. http://dx.doi.org/10.3390/biology12040564.

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High individual variation in the subjective cognitive decline (SCD) population makes functional connectivity (FC) biomarkers unstable. This study proposed a novel individual FC index, named individual proportion loss of functional connectivity strength (IPLFCS), and explored potential biomarkers for SCD using this new index. We proposed an IPLFCS analysis framework and compared it with traditional FC in Chinese and Western cohorts. Post hoc tests were used to determine biomarkers. Pearson’s correlation analysis was used to investigate the correlation between neuropsychological scores or cortic

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Chai, Hwa Chia, and Kek Heng Chua. "The Potential Use of Volatile Biomarkers for Malaria Diagnosis." Diagnostics 11, no. 12 (2021): 2244. http://dx.doi.org/10.3390/diagnostics11122244.

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Pathogens may change the odor and odor-related biting behavior of the vector and host to enhance pathogen transmission. In recent years, volatile biomarker investigations have emerged to identify odors that are differentially and specifically released by pathogens and plants, or the pathogen-infected or even cancer patients. Several studies have reported odors or volatile biomarkers specifically detected from the breath and skin of malaria-infected individuals. This review will discuss the potential use of these odors or volatile biomarkers for the diagnosis of malaria. This approach not only

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Liu, Yan-Yan, Zhong-Xian Yang, Li-Min Ma, Xu-Qing Wen, Huan-Lin Ji, and Ke Li. "1H-NMR spectroscopy identifies potential biomarkers in serum metabolomic signatures for early stage esophageal squamous cell carcinoma." PeerJ 7 (November 29, 2019): e8151. http://dx.doi.org/10.7717/peerj.8151.

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Background Esophageal squamous cell carcinoma (ESCC) is one of the most prevalent types of upper gastrointestinal malignancies. Here, we used 1H nuclear magnetic resonance spectroscopy (1H-NMR) to identify potential serum biomarkers in patients with early stage ESCC. Methods Sixty-five serum samples from early stage ESCC patients (n = 25) and healthy controls (n = 40) were analysed using 1H-NMR spectroscopy. We distinguished between different metabolites through principal component analysis, partial least squares-discriminant analysis, and orthogonal partial least squares-discriminant analysis

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Fathi, Parinaz, Maria Karkanitsa, Adam Rupert, Emily Ricotta, Irini Sereti, and Kaitlyn Sadtler. "Identifying immune biomarkers associated with human trauma as potential therapeutic targets." Journal of Immunology 210, no. 1_Supplement (2023): 229.19. http://dx.doi.org/10.4049/jimmunol.210.supp.229.19.

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Abstract Severe trauma can induce systemic immunosuppression, which makes understanding the biomarker profiles of trauma patients critical for therapeutic development and for predicting potential immune responses to treatments such as biomedical implants. Our goal was to establish a data set containing levels of a large array of biomarkers measured in blood from human trauma patients. Multiplex electrochemiluminescence assays were conducted to measure the levels of 59 biomarkers in 1000 blood samples collected from patients at the time of admission to trauma centers. Injury types were categori

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Nafar, Mohsen, Shiva Samavat, Nooshin Dalili, et al. "Identification of Potential Predictive and Diagnostic Urinary Biomarkers for Acute Rejection in Renal Transplant Recipients: A Proteomics Study." OBM Transplantation 07, no. 03 (2023): 1–33. http://dx.doi.org/10.21926/obm.transplant.2303191.

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Acute rejection (AR) is one of the main predictors of long-term survival of allograft. The development of noninvasive diagnostic biomarkers of AR is an unmet need for the timely detection. This study aimed to identify novel detective biomarkers of AR by analyzing the urine proteome profile of transplant patients. Forty-two transplant patients including 30 biopsy-proven AR patients (including antibody and T-cell mediated rejection) and 12 transplant patients with stable renal function (control group) were enrolled. Label-free quantification (LFQ) proteomics technique was performed on urine samp

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