hydrogen carbonate and interleukin-8

hydrogen carbonate has been researched along with interleukin-8 in 4 studies

Research

Studies (4)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's1 (25.00)18.2507
2000's2 (50.00)29.6817
2010's0 (0.00)24.3611
2020's1 (25.00)2.80

Authors

AuthorsStudies
Grabensee, B; Lordnejad, MR; Plum, J1
Coakley, RJ; Greene, C; McElvaney, NG; O'Neill, SJ; Taggart, C1
Cooker, L; Dawnay, A; Faict, D; Holmes, CJ; Millar, DJ; Skoufos, L; Topley, N1
Calfee, CS; Churpek, MM; Sinha, P1

Other Studies

4 other study(ies) available for hydrogen carbonate and interleukin-8

ArticleYear
Effect of alternative peritoneal dialysis solutions on cell viability, apoptosis/necrosis and cytokine expression in human monocytes.
    Kidney international, 1998, Volume: 54, Issue:1

    Topics: Actins; Apoptosis; Bicarbonates; Buffers; Cell Survival; Dialysis Solutions; Flow Cytometry; Gene Expression Regulation, Enzymologic; Glucose; Glyceraldehyde-3-Phosphate Dehydrogenases; Humans; In Vitro Techniques; Interleukin-6; Interleukin-8; Lactic Acid; Lipopolysaccharides; Mitochondria; Monocytes; Necrosis; Osmosis; Peritoneal Dialysis; RNA, Messenger; Transcription, Genetic

1998
Ambient pCO2 modulates intracellular pH, intracellular oxidant generation, and interleukin-8 secretion in human neutrophils.
    Journal of leukocyte biology, 2002, Volume: 71, Issue:4

    Topics: Acetazolamide; Bicarbonates; Carbon Dioxide; Carbonic Anhydrases; Cells, Cultured; Chlorides; Humans; Hydrogen-Ion Concentration; Interleukin-8; Neutrophils; Oxidants

2002
The in vitro biocompatibility performance of a 25 mmol/L bicarbonate/10 mmol/L lactate-buffered peritoneal dialysis fluid.
    Kidney international. Supplement, 2003, Issue:88

    Topics: Adenosine Triphosphate; Animals; Bicarbonates; Biocompatible Materials; Cell Survival; Dialysis Solutions; Epithelial Cells; Fibroblasts; Glycation End Products, Advanced; Humans; Interleukin-8; Lactic Acid; Materials Testing; Mice; Neutrophils; Organic Chemicals; Peritoneum; Respiratory Burst

2003
Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.
    American journal of respiratory and critical care medicine, 2020, 10-01, Volume: 202, Issue:7

    Topics: Age Factors; Area Under Curve; Bicarbonates; Bilirubin; Biomarkers, Tumor; Blood Pressure; Carbon Dioxide; Creatinine; Humans; Inflammation; Intercellular Adhesion Molecule-1; Interleukin-6; Interleukin-8; Latent Class Analysis; Leukocyte Count; Machine Learning; Mortality; Oxygen; Partial Pressure; Phenotype; Plasminogen Activator Inhibitor 1; Platelet Count; Prognosis; Protein C; Pulmonary Ventilation; Randomized Controlled Trials as Topic; Receptors, Tumor Necrosis Factor, Type I; Respiratory Distress Syndrome; Serum Albumin; Tidal Volume; Vasoconstrictor Agents; Vital Signs

2020