| Literature DB >> 32727475 |
Sean Holden1,2,3, Rebekah Maksoud4,5,6, Natalie Eaton-Fitch1,3,7, Hélène Cabanas1,3, Donald Staines1,3, Sonya Marshall-Gradisnik1,3.
Abstract
BACKGROUND: Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) or Systemic Exertion Intolerance Disease (SEID) present with a constellation of symptoms including debilitating fatigue that is unrelieved by rest. The pathomechanisms underlying this illness are not fully understood and the search for a biomarker continues, mitochondrial aberrations have been suggested as a possible candidate. The aim of this systematic review is to collate and appraise current literature on mitochondrial changes in ME/CFS/SEID patients compared to healthy controls.Entities:
Keywords: Chronic Fatigue Syndrome; Energy metabolism; Mitochondria; Myalgic Encephalomyelitis; Systemic Exertion Intolerance Disease
Mesh:
Substances:
Year: 2020 PMID: 32727475 PMCID: PMC7392668 DOI: 10.1186/s12967-020-02452-3
Source DB: PubMed Journal: J Transl Med ISSN: 1479-5876 Impact factor: 5.531
Fig. 1PRISMA flow diagram of literature search for included studies in this review of mitochondria and ME/CFS/SEID
Title and abstract screening terms
| Mitochondrial search terms | ME/CFS/SEID search terms |
|---|---|
| Mitochondria | Chronic fatigue syndrome |
| Mitochondrion | Myalgic encephalomyelitis |
| Mitochondrial contraction | Encephalomyelitis, myalgic |
| Contraction, mitochondrial | Chronic fatigue syndromes |
| Contractions, mitochondrial | Fatigue syndromes, chronic |
| Mitochondrial contractions | Chronic fatigue-fibromyalgia syndrome |
| Mitochondri* | Chronic fatigue fibromyalgia syndrome |
| Energy metabolism | Chronic fatigue-fibromyalgia syndromes |
| Pyruvate dehydrogenase | Fatigue-fibromyalgia syndrome, chronic |
| Electron transport chain | Fatigue-fibromyalgia syndromes, chronic |
| ATP | Postviral fatigue syndrome |
| ADP | Infectious mononucleosis-like syndrome, chronic |
| TCA cycle | Infectious mononucleosis like syndrome, chronic |
| Citric acid cycle | Royal free disease |
| Chronic fatigue and immune dysfunction syndrome | |
| Chronic fatigue disorder | |
| Chronic fatigue disorders | |
| Fatigue disorder, chronic | |
| Fatigue disorders, chronic | |
| Systemic exertion intolerance | |
| Fatigue syndrome, postviral | |
| Fatigue syndromes, postviral | |
| Postviral fatigue syndromes |
Summary of study characteristics
| Author | Year | Study design | Dx | Sample sizes | Method of analysis | |
|---|---|---|---|---|---|---|
| ME/CFS/SEID | HCs | |||||
| Armstrong et al. | 2015 | Observational case–control | Canadian criteria | 34 | 25 | NMR spectroscopy |
| Billing-Ross et al. | 2016 | Observational case–control | Fukuda criteria | 193 | 196 | Illumina sequencing |
| Booth et al. | 2012 | Observational case–control | Fukuda criteria | 138 | 53 | ATP profile test |
| Castro-Marrero et al. | 2013 | Observational case–control | Fukuda criteria | 23 | 15 | Western blot bioluminescence assay |
| Germain et al. | 2017 | Observational case–control | Fukuda criteria IOM 2015 | 17 | 15 | Mass spectrometry |
| Light et al. | 2013 | Observational case–control | Fukuda criteria | 39 | 22 | Real time QPCR |
| Maes et al. | 2009 | Observational case–control | Fukuda criteria | 58 | 22 | High Performance Liquid Chromatography |
| Mandarano et al. | 2019 | Observational case–control | Canadian criteria | 53 | 45 | Seahorse XFe96, Flow cytometry, Confocal microscopy |
| Missailidis et al. | 2020A | Observational case–control | Canadian criteria | 51 | 22 | MitoTracker Green FM, Seahorse XFe24 (mitochondrial stress test) |
| Missailidis et al. | 2020B | Observational case–control | Canadian criteria | 51 | 22 | Seahorse XFe24 (mitochondrial stress test), XF Glycolysis stress test |
| Naviaux et al. | 2016 | Observational case–control | Canadian criteria Fukuda criteria IOM 2015 | 45 | 39 | Hydrophilic interaction liquid chromatography, electrospray ionization, and tandem mass spectrometry |
| Nguyen et al. | 2016 | Observational case–control | Fukuda criteria | 17 | 19 | Flow cytometry |
| Nguyen et al. | 2019 | Observational case–control | Fukuda criteria International Consensus criteria | 6 | 6 | Seahorse XFp |
| Plioplys and Plioplys | 1995 | Observational case–control | Fukuda criteria | 15 | 15 | Electron microscopy |
| Shungu et al. | 2012 | Observational case–control | Fukuda criteria | 15 | 13 | Magnetic resonance spectroscopy |
| Sweetman et al. | 2019 | Observational case–control | Canadian criteria | 10 | 10 | RNA sequencing |
| Tomas et al. | 2017 | Observational case–control | Fukuda criteria | 52 | 35 | Seahorse XFp |
| Venter et al. | 2019 | Observational case–control | Fukuda criteria | UK: 89 moderate, 29 severe RSA: 143 moderate | UK: 64 RSA:98 | DNA sequencing |
| Yamano et al. | 2016 | Observational case–control | Fukuda criteria | Training: 47 Validation: 20 | Training: 46 Validation: 20 | Agilent CE capillary electrophoresis system |
ATP adenosine triphosphate, DNA deoxyribonucleic acid, HCs healthy controls, IOM Institute of Medicine, ME/CFS/SEID myalgic encephalomyelitis/chronic fatigue syndrome/systemic exertion intolerance disease, NMR nuclear magnetic resonance, QPCR quantitative polymerase chain reaction, RSA Republic of South Africa; RNA ribonucleic acid, UK United Kingdom
Summary of participant characteristics
| Reference | Dx | Sample (n) | Age (years, average (SD) | Sex, female (%) | Illness duration | Marker assessed | Sample source | |||
|---|---|---|---|---|---|---|---|---|---|---|
| ME/CFS/SEID | HC | ME/CFS/SEID | HC | ME/CFS/SEID | HC | |||||
| Armstrong et al. [ | Canadian Criteria | 34 | 25 | 34.9 (1.8 SE) | 33.0 (1.6 SE) | 100% | 100% | NR | Metabolites | Whole blood and urine |
| Billing-Ross et al. [ | Fukuda Criteria, Canadian Criteria | 193 | 196 | NR | NR | NR | NR | NR | mtDNA | DNA |
| Booth et al. [ | Fukuda Criteria | 138 | 53 | Cohort 1: 45.1 (11.8) Cohort 2: 41.1 (12.1) | 35.9 (13.4) | Cohort 1: 79% Cohort 2: 70% | 76% | NR | ATP | Neutrophils |
| Castro-Marrero et al. [ | Fukuda Criteria | 23 | 15 | 44.1 (3.8) | 43.5 (5.4) | 65.2% | 66.7% | 15.6 (10.8) | CoQ10, ATP, lipid peroxidation, Mitochondrial citrate synthase activity, mTDNA, Expression levels of peroxisome proliferator-activated receptor gamma-coactivator 1-alpha and transcription factor A | PBMCs |
| Germain et al. [ | Fukuda Criteria, IOM 2015 | 17 | 15 | 53.9 (6.2) | 51.9 (6.2) | 100% | 100% | NR | Metabolites | Whole blood |
| Light et al. [ | Fukuda criteria | 39 | 22 | 40–79 | 40–79 | NR | NR | NR | mRNA | Leukocytes |
| Maes et al. [ | Fukuda Criteria | 58 | 22 | 38.5 (13.9) | 45.4 (10.1) | 86.2% | 77.3% | NR | Coenzyme Q10 | Plasma |
| Mandarano et al. [ | Canadian Criteria | 53 | 45 | 50.8 (16.2) | 50.2 (17.5) | 58.5% | 57.8% | 21.7 | Mitochondria | T cells |
| Missailidis et al. [ | Canadian Criteria | 51 | 22 | 26–70 | 21–58 | 86% | 68% | NR | Mitochondria | Lymphoblasts |
| Missailidis et al. [ | Canadian Criteria | 51 | 22 | 26–70 | 21–58 | 86% | 68% | NR | Mitochondria | PBMCs Lymphoblasts |
| Naviaux et al. [ | Canadian Criteria, Fukuda Criteria, IOM 2015 | 45 | 39 | F: 52 (2.5) M: 53 (2.8) | F: 48 (2.8) M: 53 (3.5) | 51.1% | 53.8% | F: 17 (2.3) M: 21 (3.0) | Metabolites | Plasma |
| Nguyen et al. [ | Fukuda Criteria | 17 | 19 | 48.68 (1.06) | 46.48 (1.22) | 82.4% | 68.4% | 8.4 | TRPM3 surface expression | NK cells, B lymphocytes |
| Nguyen et al. [ | Fukuda Criteria, International Consensus Criteria | 6 | 6 | 50.33 (4.95) | 50.00 (5.04) | 83.3% | 83.3% | NR | Mitochondria | NK cells |
| Plioplys and Plioplys [ | Fukuda Criteria | 15 | 15 | 18–58 | 19–58 | 53.3% | 53.3% | 8 months–20 years | Mitochondria | Percutaneous needle muscle biopsies |
| Shungu et al. [ | Fukuda Criteria | 15 | 13 | 32.7 (8.6) | 27.6 (7.4) | 80% | 53.8% | 9.7 (9.1) | Metabolites | Cerebrospinal fluid |
| Sweetman et al. [ | Canadian Criteria | 10 | 10 | 36.4 | 38.8 | 60% | 60% | 12.6 | RNA | PBMCs |
| Tomas et al. [ | Fukuda Criteria | 52 | 35 | 42.8 (13.7) | 36.6 (12.0) | 84.6% | 77.1% | NR | Mitochondria | PBMCs |
| Venter et al. [ | Fukuda Criteria | UK: 89 moderate, 29 severe RSA: 143 moderate | UK: 64 RSA:98 | NR | NR | NR | NR | NR | mtDNA | mtDNA |
| Yamano et al. [ | Fukuda Criteria | Training: 47 Validation: 20 | Training: 46 Validation: 20 | Training: 38.08 (6.57) Validation: 36.15 (8.14) | Training: 38.78 (9.71) Validation: 36.10 (8.35) | Training: 87.2% Validation: 100% | Training: 89.1% Validation: 100% | NR | Metabolites | Plasma |
ATP adenosine triphosphate, CoQ10 Coenzyme Q10, DNA deoxyribonucleic acid, Dx diagnostic criteria, F female, HC healthy control, IOM Institute of Medicine, M male, mtDNA mitochondrial deoxyribonucleic acid, ME/CFS/SEID myalgic encephalomyelitis/chronic fatigue syndrome/systemic exertion intolerance disease, NK natural killer, NR not recorded, N number, PBMCs peripheral blood mononuclear cells, RSA Republic of South Africa, RNA ribonucleic acid, SD standard deviation, TRPM3 transient receptor potential melastatin 3, UK United Kingdom
Summary of primary outcome results
| Author (date) | Technique | Sample | Findings |
|---|---|---|---|
| Armstrong et al. 2015 | NMR spectroscopy | Whole blood, urine | Twenty-nine metabolites in blood and thirty metabolites in urine were identified. The absolute concentrations of six blood metabolites were significantly different following NMR analysis. Glucose levels were increased (p = 0.011) in ME/CFS/SEID patients compared with HC. Whereas acetate (p = 0 = 0.04), glutamate (p = 0.029), hypoxanthine (p = 0.001), lactate (p = 0.006) and phenylalanine (p = 0.001) were decreased in ME/CFS/SEID patients compared with HC. Metabolites analysed as a function of total metabolite concentrations reported six metabolites that were significantly different. For this analysis aspartate (p = 0.049) and glucose (p = 0.002) were increased whereas glutamate (p = 0.036), hypoxanthine (p = 0.003), lactate (p = 0.004) and phenylalanine (p = 0.003) were decreased. The absolute concentrations of five urinary metabolites were significantly different in ME/CFS/SEID patients compared with non-ME/CFS/SEID controls using NMR analysis. All urinary absolute concentration metabolites were decreased: acetate (p = 0.003); alanine (p = 0.049); formate (p = 0.002); pyruvate (p = 0.034) and serine (p = 0.034). Eight metabolites were significantly different within relative abundance data. These metabolites were decreased in ME/CFS/SEID patients compared with HC: acetate (p = 0.025); alanine (p = 0.008); formate (p = 0.026); pyruvate (p = 0.001); serine (p = 0.008); valine (p = 0.026). While allantoin (p = 0.011) and creatinine (p = 0.025) were increased |
| Billing-Ross et al. 2016 | Illumina sequencing | DNA | No significant association between mtDNA SNPs and ME/CFS/SEID status compared to HC participants were found. Haplogroups J, U and H (p < 0.01) in addition to eight other SNPs (p < 0.05) were positively correlated with symptoms, symptom clusters or symptom severity in ME/CFS/SEID patients. Overall, heteroplasmy frequency was low in both groups |
| Booth et al. 2012 | ATP profile test | Neutrophils | Using the ATP profile test ME/CFS/SEID patients were found to have measurable mitochondrial disfunction including: ATP availability and oxidative stress efficiency compared to HC participants. No p- value provided |
| Castro-Marrero et al. 2013 | Western blot bioluminescence assay | PBMCs | ME/CFS/SEID patients had significantly lower levels of CoQ10 (p < 0.001) and ATP (p < 0.001) and higher levels of lipid peroxidation (p < 0.001) compared to HC participants. Mitochondrial citrate synthase activity and expression levels of mitochondrial DNA content, peroxisome proliferator-activated receptor gamma-coactivator 1-alpha and transcription factor A were not significantly different between the two groups |
| Germain et al. 2017 | Mass spectrometry | Whole blood | 74 out of 361 metabolites including energy- related compounds, glucose and oxaloacetate were differentially accumulated in ME/CFS/SEID patients compared to HC participants (p < 0.05). Purines such as ADP and ATP, pyrimidines and many amino acid metabolic pathways were not significantly different between the groups |
| Light et al. 2013 | Real time QPCR | Leukocytes | ME/CFS/SEID patients presented with higher P2X purinoceptor 7 (p = 0.007) and lower Heat Shock Protein Family A (p = 0.032) compared to HC participants. Diazepam binding inhibitor, the gamma-aminobutyric acid A receptor modulator correlated with disease severity for ME/CFS/SEID patients (r = − 0.34, p < 0.05) |
| Maes et al. 2009 | High performance liquid chromatography | Plasma | Compared to HC participants, ME/CFS/SEID patients had significantly lower plasma CoQ10 (p < 0.001). There was a negative correlation between CoQ10 levels and total scores on the FF scale (r = − 0.28, p = 0.03), fatigue (r = − 0.86, p < 0.001) and autonomic symptoms (r = − 0.36, p = 0.005) |
| Mandarano et al. 2019 | Seahorse XFe96 Flow cytometry Confocal microscopy | T cells | CD8+ T cells belonging to ME/CFS/SEID patients had lower mitochondrial membrane potential (p < 0.01), proton leak (p < 0.05) and ATP production (p < 0.05) compared to HC participants. Glycolysis at rest was lower in CD8+ and CD4+ cells from ME/CFS/SEID patients (p < 0.05) |
| Missailidis et al. 2020A | MitoTracker Green FM Seahorse XFe24 (mitochondrial stress test) | Lymphoblasts | ME/CFS/SEID lymphoblasts showed significantly less activation of ATP synthesis by complex V (p = 0.004), mitochondrial membrane potential (p = 0.024), hyperactivated TOR complex 1 stress signalling (p < 0.001) and greater activation of Complex 1 OCR (p = 0.005), maximum OCR (p = 0.002), spare respiratory capacity (p = 0.024), nonmitochondrial OCR (p = 0.002), enzymes of β-oxidation (p < 0.001) and TCA cycles (p = 0.004) as well as proton leak (p = 0.006) compared to HC participants. There was no difference in mitochondrial mass, genome copy number, glycolytic rates and steady state ATP levels between the two groups |
| Missailidis et al. 2020B | Seahorse XFe24 (mitochondrial stress test) XF glycolysis stress test | PBMCs, Lymphoblasts | Recovered lymphocytes from frozen storage death rate, mitochondrial respiratory function and TORC1 activity can be used as an effective biomarker for ME/CFS/SEID with 90% sensitivity. ME/CFS/SEID patients had a greater lymphocyte death rate compared to HC participants (p < 0.001). Mitochondrial membrane potential, the rate of O2 consumption (OCR) by ATP synthesis and the proton leak, the maximum OCR by uncoupled mitochondria, the uncoupled activity of Complex I and the non-mitochondrial OCR values were effectively able to discriminate ME/CFS/SEID patients to HC participants (p < 0.001). The phosphorylation state of TORC1 Kinase Substrate, 4E-BP1can also be used to differentiate between patient and HC groups (p < 0.001) |
| Naviaux et al. 2016 | Hydrophilic interaction liquid chromatography, electrospray ionization, and tandem mass spectrometry | Plasma | Abnormalities in 20 metabolic pathways out of 63 were found in ME/CFS/SEID patients compared to HC participants; this includes, purine (p = 0.044), cholesterol (p = 0.035), pyrroline-5-carboxylate (p = 0.014), riboflavin (p = 0.005) and branch chain amino acid (p = 0.023) metabolism. No p value was recorded |
| Nguyen et al. 2016 | Flow cytometry | NK cells, B lymphocytes | Compared to HC participants, ME/CFS/SEID patients were found to have reduced TRPM3 surface expression on CD19+ B cells and CD56bright NK cells (p < 0.05). CD56bright NK cells exposed to 2-APB and thapsigargin had significantly decreased cytoplasmic calcium (p < 0.05) |
| Nguyen et al. 2019 | Seahorse XFp | NK cells | Compared to HC participants, glycolytic reserve in resting NK cells were significantly lower in ME/CFS/SEID patients (p < 0.05). There was no difference in mitochondrial respiration between the two groups |
| Plioplys and Plioplys 1995 | Electron microscopy | Percutaneous needle muscle biopsies | There were no significant mitochondrial abnormalities found between ME/CFS/SEID patients and HC participants including: subsar- colemmal mitochondrial aggregates, intermyofibrillar mitochondrial aggregates, mitochondrial circumference, area, pleomorphism or compartmentalization of the inner mitochondrial membrane |
| Shungu et al. 2012 | Magnetic resonance spectroscopy | Cerebrospinal fluid | No significant differences in high energy phosphate metabolites including, ATP, creatine phosphate (PCr) and inorganic phosphate (Pi), were found between ME/CFS/SEID patients and HC participants |
| Sweetman et al. 2019 | RNA sequencing | PBMCs | Significantly increased gene transcripts important for mitochondrial function, including |
| Tomas et al. 2017 | Seahorse XFp | PBMCs | ME/CFS/SEID patients had significantly lower oxidative phosphorylation parameters including: basal respiration (p ≤ 0.005), ATP production (p ≤ 0.005), proton leak (p ≤ 0.005), maximal respiration (p ≤ 0.05), reserve capacity (p ≤ 0.005), non-mitochondrial respiration (p ≤ 0.005), and coupling efficiency (p ≤ 0.005). Glycolytic activity did not significantly differ between the two groups. |
| Venter et al. 2019 | DNA sequencing | mtDNA | Majority of the severely affected and moderately affected patient groups from South Africa and the United Kingdom did not have a mildly deleterious population variant. Haplogroup distributions and heteroplasmy analysis did not detect any variations of significance between ME/CFS/SEID patients and HC participants across both population groups |
| Yamano et al. 2016 | Agilent CE capillary electrophoresis system | Plasma | Compared to HC participants, ME/CFS/SEID patients exhibited significantly higher intermediate metabolite concentrations including: ornithine/citrulline, pyruvate/isocitrate ratios in the tricarboxylic acid (TCA) and urea cycles (p < 0.001) |
ADP adenosine diphosphate, ATP adenosine triphosphate, CoQ10 Coenzyme Q10, DNA deoxyribonucleic acid, HC healthy control, mtDNA mitochondrial deoxyribonucleic acid, ME/CFS/SEID myalgic encephalomyelitis/chronic fatigue syndrome/systemic exertion intolerance disorder, NK natural killer, NMR nuclear magnetic resonance, OCR oxygen consumption rate, PBMCs peripheral blood mononuclear cells; RNA ribonucleic acid, SNPs single nucleotide polymorphisms, TRPM3 transient receptor potential melastatin 3, TCA tricarboxylic acid, 2-APB 2-aminoethoxydiphenyl borate