| Literature DB >> 24747339 |
Philip A Kramer1, Balu K Chacko1, Saranya Ravi1, Michelle S Johnson1, Tanecia Mitchell1, Victor M Darley-Usmar2.
Abstract
Mitochondrial dysfunction is known to play a significant role in a number of pathological conditions such as atherosclerosis, diabetes, septic shock, and neurodegenerative diseases but assessing changes in bioenergetic function in patients is challenging. Although diseases such as diabetes or atherosclerosis present clinically with specific organ impairment, the systemic components of the pathology, such as hyperglycemia or inflammation, can alter bioenergetic function in circulating leukocytes or platelets. This concept has been recognized for some time but its widespread application has been constrained by the large number of primary cells needed for bioenergetic analysis. This technical limitation has been overcome by combining the specificity of the magnetic bead isolation techniques, cell adhesion techniques, which allow cells to be attached without activation to microplates, and the sensitivity of new technologies designed for high throughput microplate respirometry. An example of this equipment is the extracellular flux analyzer. Such instrumentation typically uses oxygen and pH sensitive probes to measure rates of change in these parameters in adherent cells, which can then be related to metabolism. Here we detail the methods for the isolation and plating of monocytes, lymphocytes, neutrophils and platelets, without activation, from human blood and the analysis of mitochondrial bioenergetic function in these cells. In addition, we demonstrate how the oxidative burst in monocytes and neutrophils can also be measured in the same samples. Since these methods use only 8-20 ml human blood they have potential for monitoring reactive oxygen species generation and bioenergetics in a clinical setting.Entities:
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Year: 2014 PMID: 24747339 PMCID: PMC4089433 DOI: 10.3791/51301
Source DB: PubMed Journal: J Vis Exp ISSN: 1940-087X Impact factor: 1.355
| Optimal Seeding Density | Avg. Basal OCR (pmol O2/min) | Avg. Oxidative Burst OCR (pmol O2/min) | Avg. protein (µg)/well | |
| Monocytes | 250k cells / well | 83.9 ( ± 13.0) | 300.3 ( ± 58.8) | 19.0 ( ± 2.4) |
| Neutrophils | 250k cells / well | 6.1 ( ± 2.2) | 1411.8 ( ± 233.3) | 20.6 ( ± 2.7) |
| Lymphocytes | 250k cells / well | 52.9 ( ± 7.7) | 15 ( ± 4.1) | 13.2 ( ± 2.1) |
| Platelets | 25 x 106 cells / well | 199.4 ( ± 20.3) | 24 ( ± 2.7) | 47.5 ( ± 3.1) |
| Step | Problem | Possible reason | Solution |
| 1.2 | clear plasma | platelets pelleted during centrifugation | decrease centrifugation time to 10 min or slow to 400 x g |
| milky plasma | excess lipids | avoid postprandial collection | |
| 1.6 | incomplete cell bands formed | improper gradient preparation, cold reagent | avoid disrupting gradient during pipetting, use room temperature reagent |
| clumps in cell bands | clotting of blood may have occurred | Collect blood using anticoagulants such as ACD or EDTA | |
| 1.10 | no cell pellet | see step 1.6 | If supernatant hazy see below |
| hazy supernatant | Heavy Ficoll gradient contamination, platelet contamination | Increase centrifugation speed to 900 x g, dilute with more RPMI | |
| 1.16, 1.17 | low yield of leukocytes | heavy RBC contamination, not enough whole blood, clotting | Double antibody and RPMI-BSA volumes, collect more blood, add anticoagulant |
| 1.19 | platelet aggregation | PGI2 omitted, exposure to cold media, prolonged storage in plasma | add PGI2 to platelet wash buffer, use room temperature reagents |
| 1.20 | low platelet count | loss during primary centrifugation, platelet aggregation | See steps 1.2 and 1.19 |
| 2.3 | RBC contamination | Repeat MACS separation |