The purpose of this study was to determine if mitochondrial dysfunction plays a role in diabetic nephropathy (DN), a kidney disease which affects > 100 million people worldwide and is a leading cause of renal failure despite therapy. A cross-sectional study comparing DN with diabetes patients without kidney disease (DC) and healthy controls (HCs); and renal mesangial cells (HMCs) grown in normal and high glucose, was carried out. Patients with diabetes (DC) had increased circulating mitochondrial DNA (MtDNA), and HMCs increased their MtDNA within 24 h of hyperglycaemia. The increased MtDNA content in DCs and HMCs was not functional as transcription was unaltered/down-regulated, and MtDNA damage was present. MtDNA was increased in DC compared to HC, conversely, patients with DN had lower MtDNA than DC. Hyperglycaemic HMCs had fragmented mitochondria and TLR9 pathway activation, and in diabetic patients, mitophagy was reduced. Despite MtDNA content and integrity changing within 4 days, hyperglycaemic HMCs had a normal bio-energetic profile until 8 days, after which mitochondrial metabolism was progressively impaired. Peripheral blood mononuclear cells (PBMCs) from DN patients had reduced reserve capacity and maximal respiration, loss of metabolic flexibility and reduced Bioenergetic Health Index (BHI) compared to DC. Our data show that MtDNA changes precede bioenergetic dysfunction and that patients with DN have impaired mitochondrial metabolism compared to DC, leading us to propose that systemic mitochondrial dysfunction initiated by glucose induced MtDNA damage may be involved in the development of DN. Longitudinal studies are needed to define a potential cause–effect relationship between changes in MtDNA and bioenergetics in DN.

The COVID-19 pandemic has been the primary global health issue since its outbreak in December 2019. Patients with metabolic syndrome suffer from severe complications and a higher mortality rate due to SARS-CoV-2 infection. We recently proposed that SARS-CoV-2 can hijack host mitochondrial function and manipulate metabolic pathways for their own advantage. The aim of the current study was to investigate functional mitochondrial changes in live peripheral blood mononuclear cells (PBMCs) from COVID-19 patients, decipher the pathways of substrate utilization in these cells and corresponding changes in the inflammatory pathways. We demonstrate mitochondrial dysfunction, metabolic alterations with an increase in glycolysis and high levels of mitokine in PBMCs from COVID-19 patients. Interestingly, we found that levels of FGF-21 mitokine correlate with COVID-19 disease severity and mortality. These data suggest that COVID-19 patients have compromised mitochondrial function and an energy deficit which is compensated by a metabolic switch to glycolysis. This metabolic manipulation by SARS-CoV-2 triggers an enhanced inflammatory response which contributes to severity of symptoms in COVID-19. Targeting mitochondrial metabolic pathway(s) can help define novel strategies for COVID-19.

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We describe a protocol to accurately measure the amount of human mitochondrial DNA (MtDNA) in peripheral blood samples which can be modified to quantify MtDNA from other body fluids, human cells, and tissues. This protocol is based on the use of real-time quantitative PCR (qPCR) to quantify the amount of MtDNA relative to nuclear DNA (designated the Mt/N ratio). In the last decade, there have been increasing numbers of studies describing altered MtDNA or Mt/N in circulation in common nongenetic diseases where mitochondrial dysfunction may play a role (for review see Malik and Czajka, Mitochondrion 13:481-492, 2013). These studies are distinct from those looking at genetic mitochondrial disease and are attempting to identify acquired changes in circulating MtDNA content as an indicator of mitochondrial function. However, the methodology being used is not always specific and reproducible. As more than 95 % of the human mitochondrial genome is duplicated in the human nuclear genome, it is important to avoid co-amplification of nuclear pseudogenes. Furthermore, template preparation protocols can also affect the results because of the size and structural differences between the mitochondrial and nuclear genomes. Here we describe how to (1) prepare DNA from blood samples; (2) pretreat the DNA to prevent dilution bias; (3) prepare dilution standards for absolute quantification using the unique primers human mitochondrial genome forward primer (hMitoF3) and human mitochondrial genome reverse primer(hMitoR3) for the mitochondrial genome, and human nuclear genome forward primer (hB2MF1) and human nuclear genome reverse primer (hB2MR1) primers for the human nuclear genome; (4) carry out qPCR for either relative or absolute quantification from test samples; (5) analyze qPCR data; and (6) calculate the sample size to adequately power studies. The protocol presented here is suitable for high-throughput use.

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