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Publisher: Biomed Central Ltd.   (Total: 295 journals)

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Showing 1 - 200 of 295 Journals sorted alphabetically
Acta Neuropathologica Communications     Open Access   (Followers: 1, SJR: 2.683, CiteScore: 5)
Acta Veterinaria Scandinavica     Open Access   (Followers: 2, SJR: 0.655, CiteScore: 1)
Addiction Science & Clinical Practice     Open Access   (Followers: 7, SJR: 1.224, CiteScore: 3)
Advances in Simulation     Open Access   (Followers: 4)
Agriculture & Food Security     Open Access   (Followers: 15, SJR: 0.575, CiteScore: 2)
AIDS Research and Therapy     Open Access   (Followers: 14, SJR: 1.08, CiteScore: 2)
Algorithms for Molecular Biology     Open Access   (Followers: 4, SJR: 1.333, CiteScore: 2)
Allergy, Asthma and Clinical Immunology     Open Access   (Followers: 26, SJR: 0.732, CiteScore: 2)
Alzheimer's Research & Therapy     Open Access   (Followers: 3, SJR: 2.449, CiteScore: 6)
Animal Biotelemetry     Open Access   (Followers: 1, SJR: 1.067, CiteScore: 2)
Annals of Clinical Microbiology and Antimicrobials     Open Access   (Followers: 11, SJR: 1.104, CiteScore: 3)
Annals of General Psychiatry     Open Access   (Followers: 24, SJR: 0.784, CiteScore: 2)
Annals of Occupational and Environmental Medicine     Open Access   (Followers: 10, SJR: 0.452, CiteScore: 1)
Annals of Surgical Innovation and Research     Open Access   (Followers: 3, SJR: 0.328, CiteScore: 1)
Antimicrobial Resistance and Infection Control     Open Access   (Followers: 8, SJR: 1.573, CiteScore: 3)
Archives of Physiotherapy     Open Access   (Followers: 11)
Archives of Public Health     Open Access   (Followers: 12, SJR: 1.244, CiteScore: 3)
Arthritis Research & Therapy     Open Access   (Followers: 14, SJR: 2.154, CiteScore: 4)
Asia Pacific Family Medicine     Open Access   (Followers: 1, SJR: 0.538, CiteScore: 1)
Asthma Research and Practice     Open Access   (Followers: 1)
Basic and Clinical Andrology     Open Access   (SJR: 0.564, CiteScore: 2)
Behavioral and Brain Functions     Open Access   (Followers: 3, SJR: 0.986, CiteScore: 3)
Big Data Analytics     Open Access   (Followers: 26)
BioData Mining     Open Access   (Followers: 5, SJR: 0.982, CiteScore: 2)
Bioelectronic Medicine     Open Access  
Biological Procedures Online     Open Access   (SJR: 1.352, CiteScore: 4)
Biological Research     Open Access   (SJR: 0.654, CiteScore: 2)
Biology Direct     Open Access   (Followers: 7, SJR: 1.694, CiteScore: 3)
Biology of Mood & Anxiety Disorders     Open Access   (Followers: 5)
Biology of Sex Differences     Open Access   (Followers: 2, SJR: 1.902, CiteScore: 4)
Biomarker Research     Open Access   (Followers: 2)
Biomaterials Research     Open Access   (Followers: 4, SJR: 0.735, CiteScore: 3)
BioMedical Engineering OnLine     Open Access   (Followers: 7, SJR: 0.542, CiteScore: 2)
BioPsychoSocial Medicine     Open Access   (Followers: 7, SJR: 0.416, CiteScore: 1)
Biotechnology for Biofuels     Open Access   (Followers: 10, SJR: 1.899, CiteScore: 6)
BMC Anesthesiology     Open Access   (Followers: 17, SJR: 0.807, CiteScore: 2)
BMC Biochemistry     Open Access   (Followers: 14, SJR: 0.708, CiteScore: 2)
BMC Bioinformatics     Open Access   (Followers: 137, SJR: 1.479, CiteScore: 2)
BMC Biology     Open Access   (Followers: 63, SJR: 3.842, CiteScore: 5)
BMC Biophysics     Open Access   (Followers: 3, SJR: 0.682, CiteScore: 2)
BMC Biotechnology     Open Access   (Followers: 16, SJR: 1.012, CiteScore: 3)
BMC Cancer     Open Access   (Followers: 29, SJR: 1.464, CiteScore: 3)
BMC Cardiovascular Disorders     Open Access   (Followers: 21, SJR: 0.909, CiteScore: 2)
BMC Cell Biology     Open Access   (Followers: 49, SJR: 1.277, CiteScore: 3)
BMC Clinical Pathology     Open Access   (Followers: 7, SJR: 1.141, CiteScore: 3)
BMC Complementary and Alternative Medicine     Open Access   (Followers: 14, SJR: 0.858, CiteScore: 3)
BMC Dermatology     Open Access   (Followers: 13, SJR: 0.796, CiteScore: 2)
BMC Developmental Biology     Open Access   (Followers: 13, SJR: 1.43, CiteScore: 2)
BMC Ear, Nose and Throat Disorders     Open Access   (Followers: 1, SJR: 0.653, CiteScore: 2)
BMC Ecology     Open Access   (Followers: 20, SJR: 1.076, CiteScore: 2)
BMC Emergency Medicine     Open Access   (Followers: 17, SJR: 0.572, CiteScore: 1)
BMC Endocrine Disorders     Open Access   (Followers: 8, SJR: 0.965, CiteScore: 2)
BMC Evolutionary Biology     Open Access   (Followers: 72, SJR: 1.656, CiteScore: 3)
BMC Family Practice     Open Access   (Followers: 13, SJR: 1.137, CiteScore: 2)
BMC Gastroenterology     Open Access   (Followers: 15, SJR: 1.231, CiteScore: 3)
BMC Genetics     Open Access   (Followers: 25, SJR: 1.16, CiteScore: 3)
BMC Genomics     Open Access   (Followers: 88, SJR: 2.11, CiteScore: 4)
BMC Geriatrics     Open Access   (Followers: 14, SJR: 1.257, CiteScore: 3)
BMC Health Services Research     Open Access   (Followers: 16, SJR: 1.151, CiteScore: 2)
BMC Hematology     Open Access   (Followers: 3, SJR: 0.545, CiteScore: 1)
BMC Immunology     Open Access   (Followers: 10, SJR: 0.993, CiteScore: 3)
BMC Infectious Diseases     Open Access   (Followers: 18, SJR: 1.576, CiteScore: 3)
BMC Intl. Health and Human Rights     Open Access   (Followers: 6, SJR: 1.006, CiteScore: 2)
BMC Medical Education     Open Access   (Followers: 42, SJR: 0.765, CiteScore: 2)
BMC Medical Ethics     Open Access   (Followers: 21, SJR: 1.016, CiteScore: 2)
BMC Medical Genetics     Open Access   (Followers: 7, SJR: 1.109, CiteScore: 2)
BMC Medical Genomics     Open Access   (Followers: 4, SJR: 1.688, CiteScore: 3)
BMC Medical Imaging     Open Access   (Followers: 9, SJR: 0.536, CiteScore: 2)
BMC Medical Informatics and Decision Making     Open Access   (Followers: 23, SJR: 0.812, CiteScore: 2)
BMC Medical Physics     Open Access   (Followers: 6)
BMC Medical Research Methodology     Open Access   (Followers: 9, SJR: 2.221, CiteScore: 3)
BMC Medicine     Open Access   (Followers: 13, SJR: 4.219, CiteScore: 7)
BMC Microbiology     Open Access   (Followers: 14, SJR: 1.242, CiteScore: 3)
BMC Molecular Biology     Open Access   (Followers: 142, SJR: 1.216, CiteScore: 2)
BMC Musculoskeletal Disorders     Open Access   (Followers: 22, SJR: 0.951, CiteScore: 2)
BMC Nephrology     Open Access   (Followers: 9, SJR: 1.098, CiteScore: 3)
BMC Neurology     Open Access   (Followers: 21, SJR: 1.006, CiteScore: 2)
BMC Neuroscience     Open Access   (Followers: 15, SJR: 1.12, CiteScore: 2)
BMC Nuclear Medicine     Open Access   (Followers: 5)
BMC Nursing     Open Access   (Followers: 23, SJR: 0.766, CiteScore: 2)
BMC Nutrition     Open Access   (Followers: 8)
BMC Obesity     Open Access   (Followers: 6)
BMC Ophthalmology     Open Access   (Followers: 15, SJR: 0.921, CiteScore: 2)
BMC Oral Health     Open Access   (Followers: 6, SJR: 0.867, CiteScore: 2)
BMC Palliative Care     Open Access   (Followers: 29, SJR: 1.105, CiteScore: 2)
BMC Pediatrics     Open Access   (Followers: 17, SJR: 1.278, CiteScore: 2)
BMC Pharmacology     Open Access   (Followers: 2)
BMC Pharmacology & Toxicology     Open Access   (Followers: 6, SJR: 0.785, CiteScore: 2)
BMC Physiology     Open Access   (Followers: 4, SJR: 0.936, CiteScore: 2)
BMC Plant Biology     Open Access   (Followers: 15, SJR: 1.887, CiteScore: 4)
BMC Pregnancy and Childbirth     Open Access   (Followers: 21, SJR: 1.427, CiteScore: 3)
BMC Proceedings     Full-text available via subscription   (Followers: 1, SJR: 0.302, CiteScore: 1)
BMC Psychiatry     Open Access   (Followers: 32, SJR: 1.346, CiteScore: 3)
BMC Psychology     Open Access   (Followers: 18, SJR: 0.817, CiteScore: 2)
BMC Public Health     Open Access   (Followers: 158, SJR: 1.337, CiteScore: 3)
BMC Pulmonary Medicine     Open Access   (Followers: 4, SJR: 1.373, CiteScore: 3)
BMC Research Notes     Open Access   (Followers: 4, SJR: 0.691, CiteScore: 2)
BMC Rheumatology     Open Access   (Followers: 1)
BMC Sports Science, Medicine and Rehabilitation     Open Access   (Followers: 28, SJR: 0.926, CiteScore: 2)
BMC Structural Biology     Open Access   (Followers: 8, SJR: 1.024, CiteScore: 2)
BMC Surgery     Open Access   (Followers: 10, SJR: 0.693, CiteScore: 2)
BMC Systems Biology     Open Access   (Followers: 12, SJR: 1.109, CiteScore: 2)
BMC Urology     Open Access   (Followers: 14, SJR: 0.853, CiteScore: 2)
BMC Veterinary Research     Open Access   (Followers: 16, SJR: 0.934, CiteScore: 2)
BMC Women's Health     Open Access   (Followers: 11, SJR: 0.931, CiteScore: 2)
BMC Zoology     Open Access   (Followers: 1)
Borderline Personality Disorder and Emotion Dysregulation     Open Access   (Followers: 10)
Breast Cancer Research     Open Access   (Followers: 15, SJR: 3.026, CiteScore: 6)
Burns & Trauma     Open Access   (Followers: 2)
Burns & Trauma     Open Access   (Followers: 10)
Cancer & Metabolism     Open Access   (Followers: 6)
Cancer Cell Intl.     Open Access   (Followers: 6, SJR: 1.13, CiteScore: 3)
Cancer Imaging     Open Access   (Followers: 2, SJR: 1.012, CiteScore: 3)
Cancers of the Head & Neck     Open Access   (Followers: 2)
Canine Genetics and Epidemiology     Open Access   (Followers: 1)
Cardio-Oncology     Open Access  
Cardiovascular Diabetology     Open Access   (Followers: 10, SJR: 2.157, CiteScore: 5)
Cardiovascular Ultrasound     Open Access   (Followers: 4, SJR: 0.812, CiteScore: 2)
Cell Communication and Signaling     Open Access   (Followers: 2, SJR: 2.211, CiteScore: 4)
Cell Division     Open Access   (Followers: 1, SJR: 2.445, CiteScore: 4)
Cellular & Molecular Biology Letters     Hybrid Journal   (Followers: 3)
Cerebellum & Ataxias     Open Access   (Followers: 1)
Child and Adolescent Psychiatry and Mental Health     Open Access   (Followers: 22, SJR: 0.901, CiteScore: 2)
Chinese Medicine     Open Access   (Followers: 2, SJR: 0.57, CiteScore: 2)
Chinese Neurosurgical J.     Open Access  
Chiropractic & Manual Therapies     Open Access   (Followers: 5, SJR: 0.599, CiteScore: 2)
Cilia     Open Access   (SJR: 0.732, CiteScore: 1)
Clinical and Molecular Allergy     Open Access   (Followers: 5, SJR: 0.933, CiteScore: 3)
Clinical and Translational Allergy     Open Access   (Followers: 2, SJR: 1.425, CiteScore: 4)
Clinical Diabetes and Endocrinology     Open Access   (Followers: 20)
Clinical Sarcoma Research     Open Access  
Conflict and Health     Open Access   (Followers: 7, SJR: 1.851, CiteScore: 3)
Contraception and Reproductive Medicine     Open Access  
COPD Research and Practice     Open Access   (SJR: 0.755, CiteScore: 2)
Cost Effectiveness and Resource Allocation     Open Access   (Followers: 4, SJR: 0.888, CiteScore: 2)
Critical Care     Open Access   (Followers: 56, SJR: 2.48, CiteScore: 5)
Current Opinion in Molecular Therapeutics     Full-text available via subscription   (Followers: 14)
Diabetology & Metabolic Syndrome     Open Access   (Followers: 7, SJR: 0.943, CiteScore: 2)
Diagnostic and Prognostic Research     Open Access  
Diagnostic Pathology     Open Access   (Followers: 8, SJR: 0.818, CiteScore: 2)
Disaster and Military Medicine     Open Access   (Followers: 4)
Emerging Themes in Epidemiology     Open Access   (Followers: 13, SJR: 1.003, CiteScore: 2)
Environmental Health     Open Access   (Followers: 11, SJR: 1.662, CiteScore: 4)
Environmental Health and Preventive Medicine     Open Access   (Followers: 3, SJR: 0.5, CiteScore: 1)
Epigenetics & Chromatin     Open Access   (Followers: 8, SJR: 3.767, CiteScore: 5)
European J. of Medical Research     Open Access   (Followers: 1, SJR: 0.55, CiteScore: 1)
European Review of Aging and Physical Activity     Open Access   (Followers: 9, SJR: 1.308, CiteScore: 4)
Experimental & Translational Stroke Medicine     Open Access   (Followers: 8, SJR: 0.98, CiteScore: 3)
Experimental Hematology & Oncology     Open Access   (Followers: 3, SJR: 0.842, CiteScore: 2)
Eye and Vision     Open Access   (Followers: 1)
Fertility Research and Practice     Open Access   (Followers: 2)
Fibrogenesis & Tissue Repair     Open Access   (SJR: 1.531, CiteScore: 4)
Fisheries and Aquatic Sciences     Open Access   (Followers: 2, SJR: 0.199, CiteScore: 0)
Flavour     Open Access   (Followers: 3)
Fluids and Barriers of the CNS     Open Access   (Followers: 2, SJR: 2.054, CiteScore: 5)
Frontiers in Zoology     Open Access   (Followers: 6, SJR: 1.597, CiteScore: 3)
Genes and Environment     Open Access   (Followers: 1, SJR: 0.516, CiteScore: 1)
Genetics Selection Evolution     Open Access   (Followers: 7, SJR: 1.745, CiteScore: 4)
Genome Biology     Open Access   (Followers: 31)
Genome Medicine     Open Access   (Followers: 5, SJR: 4.537, CiteScore: 7)
Global Health Research and Policy     Open Access   (Followers: 4)
Globalization and Health     Open Access   (Followers: 5, SJR: 1.262, CiteScore: 2)
Gut Pathogens     Full-text available via subscription   (Followers: 5, SJR: 1.066, CiteScore: 3)
Gynecologic Oncology Research and Practice     Open Access   (Followers: 1)
Harm Reduction J.     Open Access   (SJR: 1.445, CiteScore: 3)
Head & Face Medicine     Open Access   (Followers: 1, SJR: 0.62, CiteScore: 2)
Health and Quality of Life Outcomes     Open Access   (Followers: 14, SJR: 1.069, CiteScore: 3)
Health Research Policy and Systems     Open Access   (Followers: 14, SJR: 1.11, CiteScore: 2)
Hereditary Cancer in Clinical Practice     Open Access   (SJR: 0.848, CiteScore: 2)
Hereditas     Open Access   (Followers: 1, SJR: 0.278, CiteScore: 1)
Human Genomics     Open Access   (Followers: 3, SJR: 1.501, CiteScore: 3)
Human Resources for Health     Open Access   (Followers: 9, SJR: 1.301, CiteScore: 2)
Immunity & Ageing     Open Access   (Followers: 10, SJR: 1.218, CiteScore: 3)
Implementation Science     Open Access   (Followers: 18, SJR: 2.443, CiteScore: 4)
Infectious Agents and Cancer     Open Access   (SJR: 0.855, CiteScore: 2)
Infectious Diseases of Poverty     Open Access   (Followers: 1, SJR: 1.212, CiteScore: 3)
Inflammation and Regeneration     Open Access   (Followers: 1)
Intl. Breastfeeding J.     Open Access   (Followers: 23, SJR: 0.913, CiteScore: 3)
Intl. J. for Equity in Health     Open Access   (Followers: 6, SJR: 1.04, CiteScore: 2)
Intl. J. of Behavioral Nutrition and Physical Activity     Open Access   (Followers: 24, SJR: 2.626, CiteScore: 6)
Intl. J. of Health Geographics     Open Access   (Followers: 6, SJR: 1.385, CiteScore: 3)
Intl. J. of Mental Health Systems     Open Access   (Followers: 7, SJR: 0.721, CiteScore: 2)
Intl. J. of Pediatric Endocrinology     Open Access   (Followers: 10)
Intl. J. of Retina and Vitreous     Open Access   (Followers: 2)
Investigative Genetics     Open Access   (Followers: 1, SJR: 1.809, CiteScore: 3)
Irish Veterinary J.     Open Access   (Followers: 5, SJR: 0.657, CiteScore: 1)
Israel J. of Health Policy Research     Open Access   (SJR: 0.488, CiteScore: 1)
Italian J. of Pediatrics     Open Access   (Followers: 1, SJR: 0.685, CiteScore: 2)
J. for ImmunoTherapy of Cancer     Open Access   (Followers: 5, SJR: 2.798, CiteScore: 6)
J. of Angiogenesis Research     Open Access   (Followers: 2)
J. of Animal Science and Biotechnology     Open Access   (Followers: 4, SJR: 1.228, CiteScore: 3)
J. of Animal Science and Technology     Open Access   (Followers: 2)
J. of Biological Engineering     Open Access   (Followers: 3, SJR: 1.34, CiteScore: 4)
J. of Biological Research - Thessaloniki     Open Access   (SJR: 0.32, CiteScore: 2)
J. of Biomedical Semantics     Open Access   (Followers: 2, SJR: 0.952, CiteScore: 2)
J. of Cardiothoracic Surgery     Open Access   (Followers: 5, SJR: 0.607, CiteScore: 1)
J. of Cardiovascular Magnetic Resonance     Open Access   (Followers: 1, SJR: 2.292, CiteScore: 5)
J. of Clinical Movement Disorders     Open Access   (Followers: 3)
J. of Congenital Cardiology     Open Access   (Followers: 4)
J. of Diabetes and Metabolic Disorders     Open Access   (Followers: 8, SJR: 0.818, CiteScore: 2)

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Journal Cover
Biomarker Research
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2050-7771
Published by Biomed Central Ltd. Homepage  [295 journals]
  • PI3K, p38 and JAK/STAT signalling in bronchial tissue from patients with
           asthma following allergen challenge

    • Abstract: Background Inhaled allergen challenges are often used to evaluate novel asthma treatments in early phase clinical trials. Current novel therapeutic targets in asthma include phosphoinositide 3-kinases (PI3K) delta and gamma, p38 mitogen-activated protein kinase (p38) and Janus kinase/Signal Transducer and Activator of Transcription (JAK/STAT) signalling pathways. The activation of these pathways following allergen exposure in atopic asthma patients it is not known. Methods We collected bronchial biopsies from 11 atopic asthma patients at baseline and after allergen challenge to investigate biomarkers of PI3K, p38 MAPK and JAK/STAT activation by immunohistochemistry. Cell counts and levels of eosinophil cationic protein and interleukin-5 were also assessed in sputum and bronchoalvelar lavage. Results Biopsies collected post-allergen had an increased percentage of epithelial cells expressing phospho-p38 (17.5 vs 25.6%, p = 0.04), and increased numbers of sub-epithelial cells expressing phospho-STAT5 (122.2 vs 540.6 cells/mm2, p = 0.01) and the PI3K marker phospho-ribosomal protein S6 (180.7 vs 777.3 cells/mm2, p = 0.005). Type 2 inflammation was increased in the airways post allergen, with elevated levels of eosinophils, interleukin-5 and eosinophil cationic protein. Conclusions Future clinical trials of novel kinase inhibitors could use the allergen challenge model in proof of concept studies, while employing these biomarkers to investigate pharmacological inhibition in the lungs.
      PubDate: 2018-04-11
  • Diagnosis of GATA2 haplo-insufficiency in a young woman prompted by
           pancytopenia with deficiencies of B-cell and dendritic cell development

    • Abstract: Background GATA2 deficiency presents with a spectrum of phenotypes including increased susceptibility to viral and bacterial infections, multi-lineage cytopenias, aplastic anemia, leukemic transformation and lymphedema. Allogeneic transplantation is only curative therapy for GATA2 deficiency, but is associated with significant treatment related morbidity and mortality. Given the spectrum of clinical presentation, accurate diagnosis of GATA2 deficiency is necessary to identify patients early in their disease course when allogeneic bone marrow transplantation may be of clinical benefit. Case presentation In this report, we present a GATA2 mutation diagnosed in 23-year-old woman presenting with pancytopenia, recurring oral blisters, fatigue and chronic pain. We describe markedly low levels of mature B-cells in the blood and bone marrow and the absence of detectable blood dendritic cells with normal serum immunoglobulin levels and normal numbers of marrow plasma cells. She was ultimately diagnosed with GATA2 haplo-insufficiency due to a GATA2 germ-line mutation and underwent a successful allogeneic bone marrow transplant from a 10/10 HLA matched unrelated donor. Conclusions The case illustrates the diagnostic difficulties in identifying GATA2 deficiencies and the importance of family history and genetic testing. GATA2 plays an important role in B-cell and dendritic cell development, and decreased numbers of those cells is a characteristic feature that should prompt consideration of GATA2 deficiency in a patient with pancytopenia. Maturation of B-cells to long-lived plasma cells is relatively unaffected in GATA2 deficiency. Allogeneic stem cell transplantation can correct immune-deficiencies and prevent leukemic transformation in patients with GATA2 deficiency.
      PubDate: 2018-03-21
  • Erythrocyte fatty acid profiles in children are not predictive of autism
           spectrum disorder status: a case control study

    • Abstract: Biomarkers promise biomolecular explanations as well as reliable diagnostics, stratification, and treatment strategies that have the potential to help mitigate the effects of disorders. While no reliable biomarker has yet been found for autism spectrum disorder (ASD), fatty acids have been investigated as potential biomarkers because of their association with brain development and neural functions. However, the ability of fatty acids to classify individuals with ASD from age/gender-matched neurotypical (NEU) peers has largely been ignored in favor of investigating population-level differences. Contrary to existing work, this classification task between ASD and NEU cohorts is the main focus of this work. The data presented herein suggest that fatty acids do not allow for classification at the individual level.
      PubDate: 2018-03-14
  • Suitability of Yin Yang 1 transcript and protein levels for biomarker
           studies in B cell non-Hodgkin lymphoma

    • Abstract: Background Yin Yang 1 (YY1) is a transcription factor that plays an important role during all stages of B cell differentiation. Several studies reported upregulation of YY1 in B cell derived lymphoma, indicating that it might act as an oncogene. Furthermore, aberrant YY1 expression has been associated with survival in some entities of B cell non-Hodgkin lymphoma (B-NHL), suggesting that YY1 could be a valuable biomarker in B-NHL. However, studies are controversial and methodologically disparate, partially because some studies are based on transcript levels while others rely on YY1 protein data. Therefore, we aimed to investigate the dependence of YY1 protein levels on YY1 transcription. Methods A panel of human cell lines representing different B-NHL subtypes was used to test for the correlation of YY1 mRNA and protein levels which were determined by quantitative PCR and immunoblotting. To analyze YY1 mRNA and YY1 protein stability cells were treated with actinomycin-D and cycloheximide, respectively. siRNAs were transfected to knockdown YY1. Kaplan-Meier survival analyses were performed with data from published patient cohorts. Pearson’s correlation analyses were assessed and statistical power was examined by Student’s t-test. Results In the analyzed panel of B-NHL cell lines YY1 transcript levels do not correlate with their cellular protein amounts. YY1 protein levels were unaffected by transient block of transcription or by targeting YY1 mRNA using siRNA. Additionally, global inhibition of translation up to 48 h did not alter protein levels of YY1, indicating that YY1 is a highly stable protein in B-NHL. Furthermore, in a retrospective analysis of two different B-NHL cohorts, YY1 transcript levels had no impact on patients’ survival probabilities. Conclusions Our results point out the necessity to focus on YY1 protein expression to understand the potential role of YY1 as an oncogene and to unravel its suitability as clinical biomarker in B-NHL.
      PubDate: 2018-03-13
  • Epigenetic regulation of cancer progression by EZH2: from biological
           insights to therapeutic potential

    • Abstract: Enhancer of zeste homolog 2 (EZH2), a histone methyltransferase and a catalytic component of PRC2, catalyzes tri-methylation of histone H3 at Lys 27 (H3K27me3) to regulate gene expression through epigenetic machinery. EZH2 also functions both as a transcriptional suppressor and a transcriptional co-activator, depending on H3K27me3 or not and on the different cellular contexts. Unsurprisingly, numerous studies have highlighted the role of EZH2 in cancer development and progression. Through modulating critical gene expression, EZH2 promotes cell survival, proliferation, epithelial to mesenchymal, invasion, and drug resistance of cancer cells. The tumor suppressive effects of EZH2 are also identified. What is more, EZH2 has decisive roles in immune cells (for example, T cells, NK cells, dendritic cells and macrophages), which are essential components in tumor microenvironment. In this review, we aim to discuss the molecular functions of EZH2, highlight recent findings regarding the physiological functions and related regulation of EZH2 in cancer pathogenesis. Furthermore, we summarized and updated the emerging roles of EZH2 in tumor immunity, and current pre-clinical and clinical trials of EZH2 inhibitors in cancer therapy.
      PubDate: 2018-03-09
  • Correction to: Circulating tumor cell clusters-associated gene plakoglobin
           is a significant prognostic predictor in patients with breast cancer

    • Abstract: The original article [1] contains an error in Fig. 3 whereby the trend lines denoting Low & High E-cadherin were mistakenly labelled the opposite way around.
      PubDate: 2018-03-07
  • Protein kinase inhibitors for acute leukemia

    • Abstract: Conventional treatments for acute leukemia include chemotherapy, radiation therapy, and intensive combined treatments (including bone marrow transplant or stem cell transplants). Novel treatment approaches are in active development. Recently, protein kinase inhibitors are on clinical trials and offer hope as new drugs for acute leukemia treatment. This review will provide a brief summary of the protein kinase inhibitors in clinical applications for acute leukemia treatment.
      PubDate: 2018-02-13
  • Acute myeloid leukemia in a father and son with a germline mutation of

    • Abstract: Background Myelodysplastic syndromes and acute myeloid leukemia usually occur sporadically in older adults. More recently cases of familial acute myeloid leukemia and/or myelodysplastic syndrome have been reported. Case presentation Currently we report a father and son who both developed myelodysplastic syndrome that progressed to acute myeloid leukemia. Both patients were found to have the identical mutation of ASXL1 on nextgen sequencing of both hematologic and nonhematologic tissues. Conclusions These cases support the diagnosis of a germline mutation of ASXL1.
      PubDate: 2018-02-13
  • Sphingosine kinase 2 supports the development of BCR/ABL-independent acute
           lymphoblastic leukemia in mice

    • Abstract: Background Sphingosine kinase (SphK) 2 has been implicated in the development of a range of cancers and inhibitors of this enzyme are currently in clinical trial. We have previously demonstrated a role for SphK2 in the development of acute lymphoblastic leukemia (ALL). Methods In this and our previous study we use mouse models: in the previous study the disease was driven by the proto-oncogene BCR/ABL1, while in this study cancer risk was elevated by deletion of the tumor suppressor ARF. Results Mice lacking ARF and SphK2 had a significantly reduced incidence of ALL compared mice with wild type SphK2. Conclusions These results show that the role of SphK2 in ALL development is not limited to BCR/ABL1 driven disease extending the potential use of inhibitors of this enzyme to ALL patients whose disease have driver mutations other than BCR/ABL1.
      PubDate: 2018-02-05
  • Biomarkers of cytokine release syndrome and neurotoxicity related to CAR-T
           cell therapy

    • Abstract: Severe cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T cell (CAR-T) therapy can be life-threatening in some cases, and management of those toxicities is still a great challenge for physicians. Researchers hope to understand the pathophysiology of CRS and neurotoxicity, and identify predictive biomarkers that can forecast those toxicities in advance. Some risk factors for severe CRS and/or neurotoxicity including patient and treatment characteristics have been identified in multiple clinical trials of CAR-T cell therapy. Moreover, several groups have identified some predictive biomarkers that are able to determine beforehand which patients may suffer severe CRS and/or neurotoxicity during CAR-T cell therapy, facilitating testing of early intervention strategies for those toxicities. However, further studies are needed to better understand the biology and related risk factors for CRS and/or neurotoxicity, and determine if those identified predictors can be extrapolated to other series. Herein, we review the pathophysiology of CRS and neurotoxicity, and summarize the progress of predictive biomarkers to improve CAR-T cell therapy in cancer.
      PubDate: 2018-01-22
  • Comparative analysis of cerebrospinal fluid metabolites in Alzheimer’s

    • Abstract: Background Alzheimer’s disease (AD) is a most common dementia in elderly people. Since AD symptoms resemble those of other neurodegenerative diseases, including idiopathic normal pressure hydrocephalus (iNPH), it is difficult to distinguish AD from iNPH for a precise and early diagnosis. iNPH is caused by the accumulation of cerebrospinal fluid (CSF) and involves gait disturbance, urinary incontinence, and dementia. iNPH is treatable with shunt operation which removes accumulated CSF from the brain ventricles. Methods We performed metabolomic analysis in the CSF of patients with AD and iNPH with capillary electrophoresis-mass spectrometry. We assessed metabolites to discriminate between AD and iNPH with Welch’s t-test, receiver operating characteristic (ROC) curve analysis, and multiple logistic regression analysis. Results We found significant increased levels of glycerate and N-acetylneuraminate and significant decreased levels of serine and 2-hydroxybutyrate in the CSF of patients with AD compared to the CSF of patients with iNPH. The ROC curve analysis with these four metabolites showed that the area under the ROC curve was 0.90, indicating good discrimination between AD and iNPH. Conclusions This study identified four metabolites that could possibly discriminate between AD and iNPH, which previous research has shown are closely related to the risk factors, pathogenesis, and symptoms of AD. Analyzing pathway-specific metabolites in the CSF of patients with AD may further elucidate the mechanism and pathogenesis of AD.
      PubDate: 2018-01-22
  • Platelet protein biomarker panel for ovarian cancer diagnosis

    • Abstract: Background Platelets support cancer growth and spread making platelet proteins candidates in the search for biomarkers. Methods Two-dimensional (2D) gel electrophoresis, Partial Least Squares Discriminant Analysis (PLS-DA), Western blot, DigiWest. Results PLS-DA of platelet protein expression in 2D gels suggested differences between the International Federation of Gynaecology and Obstetrics (FIGO) stages III-IV of ovarian cancer, compared to benign adnexal lesions with a sensitivity of 96% and a specificity of 88%. A PLS-DA-based model correctly predicted 7 out of 8 cases of FIGO stages I-II of ovarian cancer after verification by western blot. Receiver-operator curve (ROC) analysis indicated a sensitivity of 83% and specificity of 76% at cut-off >0.5 (area under the curve (AUC) = 0.831, p < 0.0001) for detecting these cases. Validation on an independent set of samples by DigiWest with PLS-DA differentiated benign adnexal lesions and ovarian cancer, FIGO stages III-IV, with a sensitivity of 70% and a specificity of 83%. Conclusion We identified a group of platelet protein biomarker candidates that can quantify the differential expression between ovarian cancer cases as compared to benign adnexal lesions.
      PubDate: 2018-01-12
  • Development of biomarker combinations for postoperative acute kidney
           injury via Bayesian model selection in a multicenter cohort study

    • Abstract: Background Acute kidney injury (AKI) is a frequent complication of cardiac surgery. We sought prognostic combinations of postoperative biomarkers measured within 6 h of surgery, potentially in combination with cardiopulmonary bypass time (to account for the degree of insult to the kidney). We used data from a large cohort of patients and adapted methods for developing biomarker combinations to account for the multicenter design of the study. Methods The primary endpoint was sustained mild AKI, defined as an increase of 50% or more in serum creatinine over preoperative levels lasting at least 2 days during the hospital stay. Severe AKI (secondary endpoint) was defined as a serum creatinine increase of 100% or more or dialysis during hospitalization. Data were from a cohort of 1219 adults undergoing cardiac surgery at 6 medical centers; among these, 117 developed sustained mild AKI and 60 developed severe AKI. We considered cardiopulmonary bypass time and 22 biomarkers as candidate predictors. We adapted Bayesian model averaging methods to develop center-adjusted combinations for sustained mild AKI by (1) maximizing the posterior model probability and (2) retaining predictors with posterior variable probabilities above 0.5. We used resampling-based methods to avoid optimistic bias in evaluating the biomarker combinations. Results The maximum posterior model probability combination included plasma N-terminal-pro-B-type natriuretic peptide, plasma heart-type fatty acid binding protein, and change in serum creatinine from before to 0–6 h after surgery; the median probability combination additionally included plasma interleukin-6. The center-adjusted, optimism-corrected AUCs for these combinations were 0.80 (95% CI: 0.78, 0.87) and 0.81 (0.78, 0.87), respectively, for predicting sustained mild AKI, and 0.81 (0.76, 0.90) and 0.83 (0.76, 0.90), respectively, for predicting severe AKI. For these data, the Bayesian model averaging methods yielded combinations with prognostic capacity comparable to that achieved by standard frequentist methods but with more parsimonious models. Conclusions Pending external validation, the identified combinations could be used to identify individuals at high risk of AKI immediately after cardiac surgery and could facilitate clinical trials of renoprotective agents.
      PubDate: 2018-01-12
  • SALL4 as a transcriptional and epigenetic regulator in normal and leukemic

    • Abstract: In recent years, there has been substantial progress in our knowledge of the molecular pathways by which stem cell factor SALL4 regulates the embryonic stem cell (ESC) properties, developmental events, and human cancers. This review summarizes recent advances in the biology of SALL4 with a focus on its regulatory functions in normal and leukemic hematopoiesis. In the normal hematopoietic system, expression of SALL4 is mainly enriched in the bone marrow hematopoietic stem/progenitor cells (HSCs/HPCs), but is rapidly silenced following lineage differentiation. In hematopoietic malignancies, however, SALL4 expression is abnormally re-activated and linked with deteriorated disease status in patients. Further, SALL4 activation participates in the pathogenesis of tumor initiation and disease progression. Thus, a better understanding of SALL4’s biologic functions and mechanisms will facilitate development of advanced targeted anti-leukemia approaches in future.
      PubDate: 2018-01-03
  • Interleukin-10 and soluble tumor necrosis factor receptor II are potential
           biomarkers of Plasmodium falciparum infections in pregnant women: a
           case-control study from Nanoro, Burkina Faso

    • Abstract: Background Diagnosis of malaria in pregnancy is problematic due to the low sensitivity of conventional diagnostic tests (rapid diagnostic test and microscopy), which is exacerbated due to low peripheral parasite densities, and lack of clinical symptoms. In this study, six potential biomarkers to support malaria diagnosis in pregnancy were evaluated. Methods Blood samples were collected from pregnant women at antenatal clinic visits and at delivery. Microscopy and real-time PCR were performed for malaria diagnosis and biomarker analyses were performed by ELISA (interleukin 10, IL-10; tumor necrosis factor-α, TNF-α; soluble tumor necrosis factor receptor II, sTNF-RII; soluble fms-like tyrosine kinase 1, sFlt-1; leptin and apolipoprotein B, Apo-B). A placental biopsy was collected at delivery to determine placental malaria. Results IL-10 and sTNF-RII were significantly higher at all time-points in malaria-infected women (p < 0.001). Both markers were also positively associated with parasite density (p < 0.001 and p = 0.003 for IL-10 and sTNF-RII respectively). IL-10 levels at delivery, but not during pregnancy, were negatively associated with birth weight. A prediction model was created using IL-10 and sTNF-RII cut-off points. For primigravidae the model had a sensitivity of 88.9% (95%CI 45.7–98.7%) and specificity of 83.3% (95% CI 57.1–94.9%) for diagnosing malaria during pregnancy. For secundi- and multigravidae the sensitivity (81.8% and 56.5% respectively) was lower, while specificity (100.0% and 94.3% respectively) was relatively high. Sub-microscopic infections were detected in 2 out of 3 secundi- and 5 out of 12 multigravidae. Conclusions The combination of biomarkers IL-10 and sTNF-RII have the potential to support malaria diagnosis in pregnancy. Additional markers may be needed to increase sensitivity and specificity, this is of particular importance in populations with sub-microscopic infections or in whom other inflammatory diseases are prevalent.
      PubDate: 2017-12-13
  • SETBP1 mutations as a biomarker for myelodysplasia /myeloproliferative
           neoplasm overlap syndrome

    • Abstract: Myelodysplasia (MDS) /myeloproliferative neoplasm (MPN) overlap syndrome has been described since the 2001 WHO classification as disorders that have both proliferative and dysplastic changes simultaneously. Specific disorders include chronic myelomonocytic leukemia (CMML), juvenile myelomonocytic leukemia (JMML), BCR-ABL negative atypical chronic myeloid leukemia (aCML) and unclassifiable MDS/MPN (MPN/MDS-U). Recurrent gene mutations in these conditions have been described. Among them, SETBP1 mutations have been identified in up to 32% of aCML, 24% of JMML, 18% of CMML and 10% of MDS/MPN-U patients. The mutation hotspot lies in the amino acid residues 858–871 in the SETBP1 protein. SETBP1 mutations in MDS/MPN overlap syndrome is associated with accelerated transformation to leukemia and poor prognosis. In this review, we summarized the latest data on the role of SETBP1 mutations in the overlap syndrome. SETBP1 mutations may serve as a biomarker for the diagnosis and poor prognosis of the overlap syndrome.
      PubDate: 2017-12-06
  • Evaluation of two high-throughput proteomic technologies for plasma
           biomarker discovery in immunotherapy-treated melanoma patients

    • Abstract: Background Selective kinase and immune checkpoint inhibitors, and their combinations, have significantly improved the survival of patients with advanced metastatic melanoma. Not all patients will respond to treatment however, and some patients will present with significant toxicities. Hence, the identification of biomarkers is critical for the selection and management of patients receiving treatment. Biomarker discovery often involves proteomic techniques that simultaneously profile multiple proteins but few studies have compared these platforms. Methods In this study, we used the multiplex bead-based Eve Technologies Discovery assay and the aptamer-based SomaLogic SOMAscan assay to identify circulating proteins predictive of response to immunotherapy in melanoma patients treated with combination immune checkpoint inhibitors. Expression of four plasma proteins were further validated using the bead-based Millipore Milliplex assay. Results Both the Discovery and the SOMAscan assays detected circulating plasma proteins in immunotherapy-treated melanoma patients. However, these widely used assays showed limited correlation in relative protein quantification, due to differences in specificity and the dynamic range of protein detection. Protein data derived from the Discovery and Milliplex bead-based assays were highly correlated. Conclusions Our study highlights significant limitations imposed by inconsistent sensitivity and specificity due to differences in the detection antibodies or aptamers of these widespread biomarker discovery approaches. Our findings emphasize the need to improve these technologies for the accurate identification of biomarkers.
      PubDate: 2017-11-10
  • Critical appraisal of the role of serum albumin in cardiovascular disease

    • Abstract: Concentration of serum albumin (SA), a multifunctional circulatory protein, is influenced by several factors, including its synthesis rate, catabolism rate, extravascular distribution, and exogenous loss. Moreover, both nutritional status and systemic inflammation affect the synthesis of SA. Determining SA concentration aids in risk prediction in various clinical settings. It is of interest to understand the prognostic value of SA in the full spectrum of cardiovascular disease (CVD) in the era of newly developed pharmacological and interventional treatments. Proper interpretation of SA in addition to established risk factors potentially provides a better risk discrimination and thereby presents an option to modify therapeutic strategies accordingly. In this narrative review, we summarize the basic features of SA and its associated physiological functions contributing to its prognostic impacts on CVD. Finally, we discuss the prognostic role of SA in CVDs based on existing evidence.
      PubDate: 2017-11-10
  • Assessing biological and technological variability in protein levels
           measured in pre-diagnostic plasma samples of women with breast cancer

    • Abstract: Background Quantitative proteomics allows for the discovery and functional investigation of blood-based pre-diagnostic biomarkers for early cancer detection. However, a major limitation of proteomic investigations in biomarker studies remains the biological and technical variability in the analysis of complex clinical samples. Moreover, unlike ‘omics analogues such as genomics and transcriptomics, proteomics has yet to achieve reproducibility and long-term stability on a unified technological platform. Few studies have thoroughly investigated protein variability in pre-diagnostic samples of cancer patients across multiple platforms. Methods We obtained ten blood plasma “case” samples collected up to 2 years prior to breast cancer diagnosis. Each case sample was paired with a matched control plasma from a full biological sister without breast cancer. We measured protein levels using both mass-spectrometry and antibody-based technologies to: (1) assess the technical considerations in different protein assays when analyzing limited clinical samples, and (2) evaluate the statistical power of potential diagnostic analytes. Results Although we found inherent technical variation in the three assays used, we detected protein dependent biological signal from the limited samples. The three assay types yielded 32 proteins with statistically significantly (p < 1E-01) altered expression levels between cases and controls, with no proteins retaining statistical significance after false discovery correction. Conclusions Technical, practical, and study design considerations are essential to maximize information obtained in limited pre-diagnostic samples of cancer patients. This study provides a framework that estimates biological effect sizes critical for consideration in designing studies for pre-diagnostic blood-based biomarker detection.
      PubDate: 2017-10-17
  • Development of a fully automated chemiluminescence immunoassay for urine
           monomeric laminin-γ2 as a promising diagnostic tool of non-muscle
           invasive bladder cancer

    • Abstract: Background Monomeric laminin-γ2 in urine is a potential biomarker for bladder cancer. However, the current detection system uses an antibody that cannot discriminate between monomeric laminin-γ2 and the heterotrimeric γ2 chain of laminin-332, which may cause false-positive reactions. The present study aimed to develop a fully automated chemiluminescence immunoassay system using a specific monoclonal antibody against monomeric laminin-γ2. Methods In total, 237 urine specimens (84 from patients with bladder cancer, 48 from patients with benign urological disease, and 105 from healthy donors) were collected, and monomeric laminin-γ2 values in the urine were measured using a fully automated chemiluminescence immunoassay. Results The results revealed that laminin-γ2 values in patients with benign urological disease were comparable to those of healthy donors and that the chemiluminescence immunoassay’s lower limit of detection was 10 pg/mL (approximately 20-fold better than the sandwich enzyme-linked immunosorbent assay’s limit of 200 pg/mL). Moreover, the chemiluminescence immunoassay demonstrated that patients with bladder cancer, including non-muscle invasive bladder cancer (≤pT1), had higher laminin-γ2 values than patients with benign urological disease or healthy donors. Conclusions These results suggest that urine monomeric laminin-γ2 may be a promising biomarker to diagnose cases of non-muscle invasive bladder cancer using a fully automated chemiluminescence immunoassay system.
      PubDate: 2017-10-13
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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Fax: +00 44 (0)131 4513327
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