| Literature DB >> 31273236 |
W Brad Hubbard1,2,3, Christopher L Harwood1,2, Paresh Prajapati1,2, Joe E Springer1,2, Kathryn E Saatman1,3, Patrick G Sullivan4,5,6.
Abstract
While mitochondria maintain essential cellular functions, such as energy production, calcium homeostasis, and regulating programmed cellular death, they also play a major role in pathophysiology of many neurological disorders. Furthermore, several neurodegenerative diseases are closely linked with synaptic damage and synaptic mitochondrial dysfunction. Unfortunately, the ability to assess mitochondrial dysfunction and the efficacy of mitochondrial-targeted therapies in experimental models of neurodegenerative disease and CNS injury is limited by current mitochondrial isolation techniques. Density gradient ultracentrifugation (UC) is currently the only technique that can separate synaptic and non-synaptic mitochondrial sub-populations, though small brain regions cannot be assayed due to low mitochondrial yield. To address this limitation, we used fractionated mitochondrial magnetic separation (FMMS), employing magnetic anti-Tom22 antibodies, to develop a novel strategy for isolation of functional synaptic and non-synaptic mitochondria from mouse cortex and hippocampus without the usage of UC. We compared the yield and functionality of mitochondria derived using FMMS to those derived by UC. FMMS produced 3x more synaptic mitochondrial protein yield compared to UC from the same amount of tissue, a mouse hippocampus. FMMS also has increased sensitivity, compared to UC separation, to measure decreased mitochondrial respiration, demonstrated in a paradigm of mild closed head injury. Taken together, FMMS enables improved brain-derived mitochondrial yield for mitochondrial assessments and better detection of mitochondrial impairment in CNS injury and neurodegenerative disease.Entities:
Mesh:
Year: 2019 PMID: 31273236 PMCID: PMC6609636 DOI: 10.1038/s41598-019-45568-3
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Advantages and disadvantages of each technique described in this manuscript: differential centrifugation (DC), density gradient ultracentrifugation (UC), and fractionated mitochondrial magnetic separation (FMMS).
| DC | UC | FMMS | |
|---|---|---|---|
| Yield | ++ | − | ++ |
| Purity | − | + | ++ |
| Function | + | + | + |
| Sub-Population Separation | − | + | + |
| Expense | ++ | − | + |
| Sensitivity | + | − | + |
(−) technique does not have the capability or is a disadvantage. (+) technique has the capability, can perform well, or is an advantage. (++) technique has superior capability or has greater advantage compared to other methods. Sensitivity refers to detection of mitochondrial impairment.
Figure 1Schematic of mitochondrial isolation techniques. (Top) Workflow of differential centrifugation (DC) to isolate total mitochondria from mouse brain samples. (Middle) Workflow of density gradient ultracentrifugation (UC) to isolate synaptic and non-synaptic mitochondrial fractions from mouse brain samples. (Bottom) Workflow of fractionated mitochondrial magnetic separation (FMMS) technique to isolate synaptic and non-synaptic mitochondrial fractions from mouse brain samples. Illustration by Matt Hazzard, University of Kentucky, Information Technology.
Figure 2Non-synaptic fraction optimization (a) Cortical brain homogenates were centrifuged at low speed (1300 × g) and the supernatant was collected (procedure performed twice). This combined supernatant containing cortical non-synaptic mitochondria was incubated with 1, 1.5, 2, 3, and 4 µL antibody/mg tissue and total protein yield was calculated. (b) Hippocampal brain homogenates were centrifuged at low speed (1300 × g) and the supernatant was collected (procedure performed twice). This combined supernatant containing hippocampal non-synaptic mitochondria was incubated with 1, 3, 4 and 6 µL antibody/mg tissue and total protein yield was calculated. (c) Non-synaptic mitochondrial fractions were obtained from mouse hippocampus using the UC protocol and FMMS protocol. Mitochondrial yield (µg) was normalized to initial brain tissue amount (mg). (d) Non-synaptic mitochondrial fractions were obtained using the UC protocol and FMMS protocol. The Seahorse XFe24 Flux Analyzer was utilized to measure oxygen consumption rates (OCR) from these samples. Respiratory control ratio (RCR) was calculated by dividing State III OCR respiration values by State IV OCR respiration values. No significant difference was observed. N = 3–6/group. Bars + error bars correspond to Mean ± SEM.
Figure 3Synaptic fraction optimization. (a) Hippocampal and cortical synaptic mitochondrial fraction were separately saturated with 4 µL antibody/mg tissue and pulled through the magnetic column. The resulting eluate containing synaptoneurosomes was nitrogen bombed to release synaptic mitochondria. The supernatant containing hippocampal or cortical synaptic mitochondria was incubated with 0.2 or 1 µL antibody/mg tissue and total protein yield was calculated. (b) Synaptic mitochondrial fractions were obtained from mouse hippocampus using the UC protocol and FMMS protocol. Mitochondrial yield (µg) was normalized to initial brain tissue amount (mg). FMMS technique produced significantly higher (p < 0.01) levels of mitochondrial protein compared to UC methods. (c) Synaptic mitochondrial fractions were obtained using the UC protocol and FMMS protocol. The Seahorse XFe24 Flux Analyzer was utilized to measure oxygen consumption rates (OCR) from these samples. Respiratory control ratio (RCR) was calculated by dividing State III OCR respiration values by State IV OCR respiration values. No significant difference was observed. N = 3–6/group. Bars + error bars correspond to Mean ± SEM.
Figure 4Markers of mitochondrial fraction purity after either UC or FMMS procedures. (Left) Protein levels, obtained by western blot, were normalized to UC values. While NDUAF9 and calnexin levels were not significantly different between the groups, tubulin levels were significantly lower after FMMS methods compared to UC methods. (Right) Representative western blot for all markers. These blots were cropped from different parts of the same gel for clarity. Full-lengths blots are provided in the Supplementary material (Fig. S1). N = 5–7/group. *p < 0.05 compared to UC. Bars + error bars correspond to Mean ± SEM.
Figure 5Application of FMMS in a model of repeated closed head injury. Mice were given either a repeated CHI (rCHI) at a 48 h interval or sham procedure. At 48 h after the final CHI, bilateral hippocampus was extracted and homogenized for mitochondrial respiration assessment. (Left) Total mitochondria obtained through DC methods demonstrated a State III OCR decrease in the repeated CHI group compared to Sham. This data was modified from previously published work[31]. (Middle) Non-synaptic and synaptic fractions were obtained by UC procedures. Neither fraction showed any significant differences between repeated CHI and Sham groups. (Right) Non-synaptic and synaptic fractions were obtained by FMMS. While the synaptic fraction did not show any significant differences between repeated CHI and Sham groups, State III OCR was lower in the non-synaptic fraction of the repeated CHI group compared to Sham. N = 6/group. *p < 0.05 compared to Sham. Bars + error bars correspond to Mean ± SEM.