Literature DB >> 32727475

A systematic review of mitochondrial abnormalities in myalgic encephalomyelitis/chronic fatigue syndrome/systemic exertion intolerance disease.

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.
METHODS: Embase, PubMed, Scopus and Medline (EBSCO host) were systematically searched for articles assessing mitochondrial changes in ME/CFS/SEID patients compared to healthy controls published between January 1995 and February 2020. The list of articles was further refined using specific inclusion and exclusion criteria. Quality and bias were measured using the Joanna Briggs Institute Critical Appraisal Checklist for Case Control Studies.
RESULTS: Nineteen studies were included in this review. The included studies investigated mitochondrial structural and functional differences in ME/CFS/SEID patients compared with healthy controls. Outcomes addressed by the papers include changes in mitochondrial structure, deoxyribonucleic acid/ribonucleic acid, respiratory function, metabolites, and coenzymes.
CONCLUSION: Based on the included articles in the review it is difficult to establish the role of mitochondria in the pathomechanisms of ME/CFS/SEID due to inconsistencies across the studies. Future well-designed studies using the same ME/CFS/SEID diagnostic criteria and analysis methods are required to determine possible mitochondrial involvement in the pathomechanisms of ME/CFS/SEID.

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


Background

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), more recently termed Systemic Exertion Intolerance Disease (SEID) is a complex multidimensional illness where patients present with a variety of pathophysiological symptoms including immunological, endocrine and neurological disruption [1-4]. Symptom presentation is heterogeneous ranging from mild to severe, even leaving some patients bed bound [1]. The underlying pathomechanisms of ME/CFS/SEID are nebulous and the search for standardised biomarkers continues, so diagnosis entirely depends upon symptom specific case criteria following the exclusion of any other explanatory diagnosis [1-4]. There are four main criteria used to diagnose ME/CFS/SEID: the 1994 Fukuda Criteria (FC), 2003 Canadian Consensus Criteria (CCC), 2011 International Consensus Criteria (ICC), and 2015 Institute of Medicine Criteria (IOMC). The FC, CCC, ICC and IOMC all specify fatigue as the cardinal symptom [1-4]. As fatigue is a key diagnostic symptom for ME/CFS/SEID, energy metabolism may be a significant pathomechanistic factor. Mitochondrial function is an important aspect of energy metabolism and has been the focus of recent study [5-23]. Mitochondria are maternally inherited multifunctional organelles that play a critical role in energy harvesting, transformation and storage as well as other intracellular signaling processes [24]. Residing within the inner mitochondrial membrane is the electron transport chain (ETC). The ETC consists of five multi-subunit enzyme complexes (complexes I through V) and two electron carriers: coenzyme Q10 (CoQ10) and cytochrome c which are involved in oxidative phosphorylation and subsequent production of adenosine triphosphate (ATP) [24]. Mitochondria are also fundamental for immune processes such as inflammasome activation and general intracellular calcium signaling [25, 26]. Due to their physiological importance, mitochondria are implicated in a wide variety of pathological conditions including ME/CFS/SEID [5-23]. The aim of this systematic review is to present and appraise current research that has compared ME/CFS/SEID patient participants to healthy control (HC) participants and the role mitochondria may have in ME/CFS/SEID pathology. Foci include variations in mitochondrial deoxyribonucleic acid (mtDNA), messenger ribonucleic acid (mRNA), mitochondrial respiratory function, metabolites, and coenzymes. [5-23]. Literature on this topic will help guide prospective studies in the search for an appropriate biomarker for this debilitating illness.

Methods

Literature search

This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (Fig. 1) and Cochrane guidelines. PRISMA and Cochrane guidelines were used to ensure international standards were maintained and used for reporting information contained in this systematic review. The databases EMBASE, PubMed, Scopus and Medline (EBSCO host) were systematically searched using full-text and Medical Subject Headings (MeSH) terms. Mitochondrial search terms and ME/CFS/SEID search terms are presented in Table 1. Boolean operators ‘OR’ and ‘AND’ were used to expand the search to include all relevant key terms and to specify articles containing both a ME/CFS/SEID search term and a  mitochondrial search term. Full code can be found in Additional File 1. Literature searches were conducted independently by authors SH and RM on February 18th, 2020. Reference list checking and citation searching was carried out, no additional papers were found. Unpublished literature was not searched. No additional papers were identified in the final search or through alternative databases such as Griffith University institute library or Google Scholar.
Fig. 1

PRISMA flow diagram of literature search for included studies in this review of mitochondria and ME/CFS/SEID

Table 1

Title and abstract screening terms

Mitochondrial search terms(14 terms)ME/CFS/SEID search terms(23 terms)
MitochondriaChronic fatigue syndrome
MitochondrionMyalgic encephalomyelitis
Mitochondrial contractionEncephalomyelitis, myalgic
Contraction, mitochondrialChronic fatigue syndromes
Contractions, mitochondrialFatigue syndromes, chronic
Mitochondrial contractionsChronic fatigue-fibromyalgia syndrome
Mitochondri*Chronic fatigue fibromyalgia syndrome
Energy metabolismChronic fatigue-fibromyalgia syndromes
Pyruvate dehydrogenaseFatigue-fibromyalgia syndrome, chronic
Electron transport chainFatigue-fibromyalgia syndromes, chronic
ATPPostviral fatigue syndrome
ADPInfectious mononucleosis-like syndrome, chronic
TCA cycleInfectious mononucleosis like syndrome, chronic
Citric acid cycleRoyal 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
PRISMA flow diagram of literature search for included studies in this review of mitochondria and ME/CFS/SEID Title and abstract screening terms

Inclusion and exclusion criteria

Studies were included for review if at least one mitochondrial search term AND at least one ME/CFS/SEID search term (Table 1) were found in the title or abstract and the study complied with the following inclusion criteria: (i) published after 1994 (ii) research conducted on human participants only, aged 18 years or older; (iii) full- text article was available in the English language; (iv) original research only was reported; (v) ME/CFS/SEID was diagnosed using: FC (1994), CCC (2003), ICC (2011) or IOMC (2015); (vi) investigation was conducted on mitochondrial aberrations in ME/CFS/SEID patients compared to a HC group. Articles that did not contain at least one mitochondrial search term AND at least one ME/CFS/SEID search term in the title or abstract were excluded from the review (Table 1). Articles were excluded if any of the following applied: (i) written prior to the introduction of the FC on December 15th 1994 (all studies 1994 or earlier were excluded considering time was required to be aware of the FC); (ii) conducted in non-human participants or those under the age of 18; (iii) articles not written in English or not available as full-text; (iv) studies that reported on non-original data including: duplicate studies, case reports or review articles; (v) use of criteria other than FC, CCC, ICC or IOMC; (vi) Comparison with a patient group (e.g.,) fibromyalgia or depression, without comparison to HC participants; (vii) studies that were not within the scope of this review.

Selection of studies

Following retrieval of articles from the databases all articles were stored in the reference management software package Endnote X9.2. Duplicates were manually removed and all articles that did not contain the listed key words in title or abstract were omitted. The remaining articles were reviewed and those that followed the eligibility criteria were selected. This process was conducted by authors SH and RM independently. Final papers to be included in this review were then reassessed by all other listed authors. During title and abstract screening, we performed manual and automated screening. The automated screening was achieved by building an algorithm in Endnote 9.2 using the grouping function with AND/OR logic gates. When we compared the manual screening result to automated screening, one article was retained by automated screening which manual screening had excluded, that article was included in final analysis. Two articles were found by manual screening which automated screening had excluded, both of which were included in final analysis. Authors SH and RM then checked discrepancies, the final list of articles retained after screening was deemed accordant and correct by both authors.

Data extraction

Following selection of papers, data was extracted including: (i) study design; (ii) diagnostic criteria used; (iii) sample size; (iv) method of analysis.

Quality assessment

The Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Case Control Studies (CACCCS) checklist was used to evaluate quality and bias (Additional File 2). CACCCS checklist was selected based on it being an internationally recognized, validated, rigorous process to evaluate study quality and bias. Quality assessment was conducted by authors SH and RM independently. Each checklist item assesses the following: [1] group matching, [2] source population, [3] criteria, [4] method of exposure, [5] assessment of exposure, [6] confounding variables identification, [7] mitigation of confounding variables, [8] measurement of outcomes, [9] exposure period selection, [10] statistical analysis. Items four, five and nine of the JBI CACCCS were not assessed as intervention-based studies were excluded from analysis.

Results

A total of 3772 papers were identified from Medline (EBSCOhost) (201), Embase (382), PubMed (94) and Scopus (3095). All duplicates were removed, and the remaining papers were screened according to inclusion and exclusion criteria. Following this process, the total number of articles were refined to 19 [5-23]. The selection process as conducted by PRISMA guidelines has been summarized in Fig. 1.

Overview of papers

The study characteristics of the 19 papers included in this review are summarized in Table 2. All papers in this review were observational case control studies that examined mitochondria in ME/CFS/SEID patients compared with HC participants [5-23]. No potentially relevant papers were excluded from this review.
Table 2

Summary of study characteristics

AuthorYearStudy designDxSample sizesMethod of analysis
ME/CFS/SEIDHCs
Armstrong et al.2015Observational case–controlCanadian criteria3425NMR spectroscopy
Billing-Ross et al.2016Observational case–controlFukuda criteria193196Illumina sequencing
Booth et al.2012Observational case–controlFukuda criteria13853ATP profile test
Castro-Marrero et al.2013Observational case–controlFukuda criteria2315

Western blot bioluminescence

assay

Germain et al.2017Observational case–control

Fukuda criteria

IOM 2015

1715Mass spectrometry
Light et al.2013Observational case–controlFukuda criteria3922Real time QPCR
Maes et al.2009Observational case–controlFukuda criteria5822High Performance Liquid Chromatography
Mandarano et al.2019Observational case–controlCanadian criteria5345

Seahorse XFe96,

Flow cytometry,

Confocal microscopy

Missailidis et al.2020AObservational case–controlCanadian criteria5122

MitoTracker Green FM,

Seahorse XFe24 (mitochondrial stress test)

Missailidis et al.2020BObservational case–controlCanadian criteria5122

Seahorse XFe24 (mitochondrial stress test),

XF Glycolysis stress test

Naviaux et al.2016Observational case–control

Canadian criteria

Fukuda criteria

IOM 2015

4539Hydrophilic interaction liquid chromatography, electrospray ionization, and tandem mass spectrometry
Nguyen et al.2016Observational case–controlFukuda criteria1719Flow cytometry
Nguyen et al.2019Observational case–control

Fukuda criteria

International Consensus

criteria

66Seahorse XFp
Plioplys and Plioplys1995Observational case–controlFukuda criteria1515Electron microscopy
Shungu et al.2012Observational case–controlFukuda criteria1513Magnetic resonance spectroscopy
Sweetman et al.2019Observational case–controlCanadian criteria1010RNA sequencing
Tomas et al.2017Observational case–controlFukuda criteria5235Seahorse XFp
Venter et al.2019Observational case–controlFukuda criteria

UK: 89 moderate, 29 severe

RSA: 143 moderate

UK: 64

RSA:98

DNA sequencing
Yamano et al.2016Observational case–controlFukuda 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 study characteristics Western blot bioluminescence assay Fukuda criteria IOM 2015 Seahorse XFe96, Flow cytometry, Confocal microscopy MitoTracker Green FM, Seahorse XFe24 (mitochondrial stress test) Seahorse XFe24 (mitochondrial stress test), XF Glycolysis stress test Canadian criteria Fukuda criteria IOM 2015 Fukuda criteria International Consensus criteria UK: 89 moderate, 29 severe RSA: 143 moderate UK: 64 RSA:98 Training: 47 Validation: 20 Training: 46 Validation: 20 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

Participant and study characteristics

Participant characteristics are summarized in Table 3. The average number of ME/CFS/SEID patients across all papers was 57.8 and the average number of HC participants was 40.75. Most participants were female (77%). Six of the studies reported race, wherein the largest proportion of participants were Caucasian [6, 8, 12–14, 17]. The average ages across all studies were 43.7 for ME/CFS/SEID patients and 42.4 for HC participants. Six of the studies included ME/CFS/SEID patients that met the CCC [5, 12, 13, 18, 22, 23], 13 studies used the FC as a minimum requirement for inclusion [6–9, 11, 13–17, 19–21], one study used FC and IOMC [9] and another study used the FC and ICC [15]. The remaining study used a combination of the FC, CCC and IOMC [13]. The average illness duration for ME/CFS/SEID patients was 15.1 years.
Table 3

Summary of participant characteristics

ReferenceDxSample (n)Age (years, average (SD)Sex, female (%)Illness durationMarker assessedSample source
ME/CFS/SEIDHCME/CFS/SEIDHCME/CFS/SEIDHC
Armstrong et al. [5]Canadian Criteria342534.9 (1.8 SE)33.0 (1.6 SE)100%100%NRMetabolitesWhole blood and urine
Billing-Ross et al. [6]

Fukuda Criteria,

Canadian Criteria

193196NRNRNRNRNRmtDNADNA
Booth et al. [7]Fukuda Criteria13853

Cohort 1: 45.1 (11.8)

Cohort 2: 41.1 (12.1)

35.9 (13.4)

Cohort 1: 79%

Cohort 2: 70%

76%NRATPNeutrophils
Castro-Marrero et al. [8]Fukuda Criteria231544.1 (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. [9]

Fukuda Criteria,

IOM 2015

171553.9 (6.2)51.9 (6.2)100%100%NRMetabolitesWhole blood
Light et al. [10]Fukuda criteria392240–7940–79NRNRNRmRNALeukocytes
Maes et al. [11]Fukuda Criteria582238.5 (13.9)45.4 (10.1)86.2%77.3%NRCoenzyme Q10Plasma
Mandarano et al. [12]Canadian Criteria534550.8 (16.2)50.2 (17.5)58.5%57.8%21.7MitochondriaT cells
Missailidis et al. [22]Canadian Criteria512226–7021–5886%68%NRMitochondriaLymphoblasts
Missailidis et al. [23]Canadian Criteria512226–7021–5886%68%NRMitochondria

PBMCs

Lymphoblasts

Naviaux et al. [13]

Canadian Criteria,

Fukuda Criteria,

IOM 2015

4539

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)

MetabolitesPlasma
Nguyen et al. [14]Fukuda Criteria171948.68 (1.06)46.48 (1.22)82.4%68.4%8.4TRPM3 surface expressionNK cells, B lymphocytes
Nguyen et al. [15]

Fukuda Criteria,

International Consensus

Criteria

6650.33 (4.95)50.00 (5.04)83.3%83.3%NRMitochondriaNK cells
Plioplys and Plioplys [16]Fukuda Criteria151518–5819–5853.3%53.3%8 months–20 yearsMitochondriaPercutaneous needle muscle biopsies
Shungu et al. [17]Fukuda Criteria151332.7 (8.6)27.6 (7.4)80%53.8%9.7 (9.1)MetabolitesCerebrospinal fluid
Sweetman et al. [18]Canadian Criteria101036.438.860%60%12.6RNAPBMCs
Tomas et al. [19]Fukuda Criteria523542.8 (13.7)36.6 (12.0)84.6%77.1%NRMitochondriaPBMCs
Venter et al. [20]Fukuda Criteria

UK: 89 moderate, 29 severe

RSA: 143 moderate

UK: 64

RSA:98

NRNRNRNRNRmtDNAmtDNA
Yamano et al. [21]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%

NRMetabolitesPlasma

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 participant characteristics Fukuda Criteria, Canadian Criteria Cohort 1: 45.1 (11.8) Cohort 2: 41.1 (12.1) Cohort 1: 79% Cohort 2: 70% CoQ10, ATP, lipid peroxidation, Mitochondrial citrate synthase activity, mTDNA, Expression levels of peroxisome proliferator-activated receptor gamma-coactivator 1-alpha and transcription factor A Fukuda Criteria, IOM 2015 PBMCs Lymphoblasts Canadian Criteria, Fukuda Criteria, IOM 2015 F: 52 (2.5) M: 53 (2.8) F: 48 (2.8) M: 53 (3.5) F: 17 (2.3) M: 21 (3.0) Fukuda Criteria, International Consensus Criteria UK: 89 moderate, 29 severe RSA: 143 moderate UK: 64 RSA:98 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% 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 Different sample types were sourced across the studies; four studies used peripheral blood mononuclear cells (PBMCs) [8, 18, 19, 23], three studies used plasma [11, 13, 21], two studies used Natural Killer (NK) cells [14, 15], two studies used lymphoblasts [22, 23], two studies used mtDNA [6, 20], two studies used whole blood [5, 9], one study used cerebrospinal fluid [17], one study used neutrophils [7], one study used urine [5] and one study used percutaneous needle muscle biopsies [16]. From these samples, a variety of different markers were assessed including: metabolites [5, 9, 13, 21], mtDNA [6, 20], Messenger ribonucleic acid (mRNA) [10, 18], ATP, CoQ10 [8, 11] or mitochondria directly [12, 15, 16, 19, 22, 23]. Primary outcomes of these studies have been summarized in Table 4.
Table 4

Summary of primary outcome results

Author (date)TechniqueSampleFindings
Armstrong et al. 2015NMR spectroscopyWhole 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. 2016Illumina sequencingDNANo 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. 2012ATP profile testNeutrophilsUsing 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. 2013Western blot bioluminescence assayPBMCsME/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. 2017Mass spectrometryWhole blood74 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. 2013Real time QPCRLeukocytesME/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. 2009High performance liquid chromatographyPlasmaCompared 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 cellsCD8+ 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)

LymphoblastsME/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. 2016Hydrophilic interaction liquid chromatography, electrospray ionization, and tandem mass spectrometryPlasmaAbnormalities 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. 2016Flow cytometryNK cells, B lymphocytesCompared 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. 2019Seahorse XFpNK cellsCompared 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 1995Electron microscopyPercutaneous needle muscle biopsiesThere 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. 2012Magnetic resonance spectroscopyCerebrospinal fluidNo 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. 2019RNA sequencingPBMCsSignificantly increased gene transcripts important for mitochondrial function, including PMAIP1, PMPCB and JUN, were found in ME/CFS/SEID patients compared to HC participants (p < 0.001)
Tomas et al. 2017Seahorse XFpPBMCsME/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. 2019DNA sequencingmtDNAMajority 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. 2016Agilent CE capillary electrophoresis systemPlasmaCompared 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

Summary of primary outcome results 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 Seahorse XFe96 Flow cytometry Confocal microscopy MitoTracker Green FM Seahorse XFe24 (mitochondrial stress test) Seahorse XFe24 (mitochondrial stress test) XF glycolysis stress test PBMCs, Lymphoblasts 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

Literature reporting changes in mitochondrial deoxyribonucleic acid (DNA)/ribonucleic acid (RNA)

One study found no significant single nucleotide polymorphisms (SNPs) between ME/CFS/SEID patients and HC participants. There, however, was a positive correlation between haplotypes J, U and H as well as eight other SNPs and symptoms, symptom clusters or symptom severity in ME/CFS/SEID patients. Heteroplasmy frequency was low [6]. Another study assessed DNA variants in patient groups and HC participants from two distinct locations: South Africa and the United Kingdom. Similarly, most patients with severe or moderate ME/CFS did not have a mildly deleterious population variant [20]. A study on RNA from PBMCs found that there were significantly increased gene transcripts important for mitochondrial function in ME/CFS/SEID patients compared with HC participants including PMAIP1, PMPCB and JUN [18].

Literature Reporting structural changes in mitochondria

Structural abnormalities relating to mitochondria in ME/CFS/SEID patients including sub-sarcolemmal mitochondrial aggregates, intermyofibrillar mitochondrial aggregates, mitochondrial circumference, mitochondrial area, mitochondrial pleomorphism, or compartmentalization of the inner mitochondrial membrane were examined in one of the studies included in this review. That study did not identify any significant structural changes in ME/CFS/SEID patient mitochondria compared with HC participants [16].

Literature reporting changes in mitochondrial respiratory function

Mitochondrial respiratory function was investigated in five of the included studies. There were four studies that identified significant differences in mitochondrial respiratory function between ME/CFS/SEID patients and HC participants. One of these studies found that there was lower mitochondrial membrane potential, lower proton leak (oligomycin, ATP synthase inhibitor, resulting in the depletion of proton motive force), lower ATP production in CD8+ T cells from ME/CFS/SEID patients compared with HC participants, also lower glycolysis at rest in both CD8+ and CD4+ cells from ME/CFS/SEID patients [12, 27]. Another study [22] examining lymphoblasts also showed lower mitochondrial membrane potential in ME/CFS/SEID patients compared to HC participants. There was also lowered activation of ATP synthesis by complex V and hyperactivated target of rapamycin (TOR) complex 1 stress signaling. In contrast to the aforementioned study, in Mandarano et al’s study there was greater proton leak, greater complex 1 oxygen consumption rate (OCR), greater maximum OCR (OCR is an indicator of cellular metabolism and fitness) and greater spare respiratory capacity (excess respiratory electron transport chain capacity not being used in basal respiration) [12, 22, 28]. Additionally, in Mandarano et al’s study there was also greater nonmitochondrial OCR (oxygen consuming process) activity, greater number of enzymes of β-oxidation and greater tricarboxylic acid cycle (TCA) activity [12]. The Missailidis et al. study also found no difference in mitochondrial mass, genome copy number, glycolytic rates, or steady state ATP levels between ME/CFS/SEID patients and HC participants [22]. These findings were validated in an associated study that found cells belonging to ME/CFS/SEID patients can be differentiated from HC participant cells based on respiratory function parameters [23]. One study examining PBMCs [19] found all oxidative phosphorylation parameters including basal respiration, ATP production, proton leak, maximal respiration, reserve capacity, non-mitochondrial respiration, and coupling efficiency were significantly lower in ME/CFS/SEID patients compared to HC participants. Similarly to the Missailidis et al. study there was no significant difference in glycolytic activity between both groups [22]. One study contrasted this by finding no difference in mitochondrial respiration in NK cells, however, glycolytic function was significantly lower in ME/CFS/SEID patients compared to HC participants [15].

Literature Reporting Changes in metabolites

From the 19 studies, 12 investigated metabolic changes in ME/CFS/SEID patients compared to HC participants [5, 7–9, 12, 13, 15, 17, 19, 21–23]. One study investigating metabolic changes in cerebral spinal fluid found no differences in levels of high energy phosphate metabolites including ATP, creatine phosphate, and inorganic phosphate between ME/CFS/SEID patients and HC participants. This study used arterial spin labelling reporting higher ventricular lactate and lower glutathione in the ME/CFS/SEID patient group [17]. As previously mentioned, mitochondrial respiratory tests found that there was lower ATP production in three of the studies [8, 12, 19]. One study, however, reported that there was no difference in steady state ATP levels between groups [22]. An ATP profile study found that there was reduced ATP availability in neutrophils from ME/CFS/SEID patients in comparison to HC participant neutrophils [7]. This finding was supported by another study conducted on PBMCs [8]. A study investigating metabolite concentrations in tricarboxylic acid (TCA) and urea cycles found: ornithine, citrulline, pyruvate and isocitrate ratios were significantly higher in ME/CFS/SEID patients compared to HC participants [21]. Another study found that ME/CFS/SEID patients had higher blood glucose levels and lower blood lactate, urine pyruvate and urine alanine compared to HC participants [5]. In plasma, abnormalities in 20 out of 63 metabolic pathways were found in ME/CFS/SEID patients compared to HC participants: this includes purine, cholesterol, pyrroline-5-carboxylate, riboflavin, and branch chain amino acid [13].

Literature reporting changes in coenzymes

One study found significantly lower levels of CoQ10 in PBMCs from ME/CFS/SEID patients compared to HC participants [8]. Another study supported this, finding FibroFatigue scale scores, fatigue, and autonomic symptoms negatively correlated with CoQ10 levels [11].

Literature reporting changes in mitochondrial signaling pathways

One study investigated cytosol and mitochondrial calcium (Ca2+) influx following stimulation with 2-aminoethoxydiphenyl borate (2-APB), and thapsigargin in ME/CFS/SEID patients compared to HC participants. There was significantly lower cytosolic Ca2+ ion concentration in CD19+ B lymphocytes and CD56bright NK cells in ME/CFS patients compared to HC participants. In ME/CFS/SEID patients, however, there was no significant difference in mitochondrial Ca2+ concentration compared to HC participants [14]. The JBI CACCCS checklist was used to assess each article for quality and bias (Additional File 2). Items four, five and nine were omitted due to exclusion of interventional studies from this review. Item eight was the most addressed item where 19 (100%) of included studies assessed outcomes in a standard, valid, reliable way. Secondly, 15 (78.9%) of included studies selected appropriate criteria for ME/CFS/SEID and HC participants. From all included studies, 14 (73.7%) appropriately matched patient and HC groups (item one), identified confounding factors (item six), and utilized appropriate statistical tests (item 10). Identified confounding factors were effectively controlled for in 11 (57.9%) of the studies. Checklist item two was least addressed, only 10 studies (52.6%) adequately matched source population.

Discussion

The aim of this systematic review was to collect and analyze current research on the role of mitochondria in ME/CFS/SEID pathomechanisms. A total of 19 studies met the inclusion criteria and were included in this review. Changes in mitochondrial structure, DNA/RNA, respiratory function, metabolites, and coenzymes have been reported. The results from this systematic review indicate a significant amount of variability across all studies, where in many cases standardized protocols were not apparent or similar outcomes were not assessed, thus making comparisons between studies difficult and ultimately providing little consistency for the analysis of ME/CFS/SEID pathomechanisms. A systematic review on mitochondrial dysfunction and fatigue was previously published by Filler et al. (2014). That paper used the keyword “fatigue”, however most of the included articles were reporting on ME/CFS/SEID. Since then, numerous papers have been published in the ME/CFS/SEID field. The Filler et al. paper also had less stringent exclusion criteria than this review, included articles that did not have HC participants, had participants under the age of 18 and used criteria beyond the three main established FC, CCC and ICC [29]. The IOMC was not yet established when Filler et al. published in 2014 and has been incorporated to this review. To ensure comparability of the studies examined in this review, stricter exclusion criteria were put in place. This systematic review was the first to assess mitochondrial changes in case control cohorts. A novel computerized title and abstract screening filter was programmed and implemented in this study by SH. The process of title and abstract screening was made more robust by comparing the automated output against the result from manual title and abstract screening as an additional process verification step, incorporating the advantages of computer processing in a way which did not compromise manual screening. A logically correct computerized title and abstract filter might provide an additional verification layer to reduce human error during title and abstract screening in future studies. Computerized screening may be ideal if the screening process exclusively consists of predefined logical steps without interim decision making, provided the computing architecture is properly designed and operates without error. In this review, the average ages for ME/CFS/SEID patients and HC participants were 43.7 and 42.4, respectively. Most of the participants were female (77%), this is consistent with literature stating the illness most commonly affects females aged between 35 and 45 [15, 30, 31]. Selected studies matched participants by age and sex [5, 6, 8, 9, 11–13, 15–18, 22, 23]. Matching these characteristics in mitochondrial studies is essential to account for age-related mitochondrial decline and sex-associated differences including uncoupled respiration, citrate synthase activity and ATP levels [32]. Six of the studies included data on race or ethnicity, reporting the majority of participants as Caucasian; this feature is also consistent with literature [15, 30, 31]. The predominant use of the FC across the studies is a significant limitation considering the broad nature of this criteria and considerable overlap with other illnesses [3]. This may explain some inconsistencies found between studies. With the more recent publications, a greater number of papers incorporated the later, more stringent CCC, ICC or IOMC into their recruitment decisions [5, 9, 12, 13, 15, 18, 22, 23]. The inclusion of more stringent criteria allows for a more homogenous subset of patients [3]. Analysis was conducted on samples from a variety of different sources including urine, whole blood, plasma, PBMCs, NK cells, B cells, and T cells. The selection of immune cells resulted from published data demonstrating immune involvement in ME/CFS/SEID pathology [12]. The different cell types make it difficult to establish comparisons between the studies. Cells were from different sources (frozen and fresh), further complicating comparison. For experiments such as measuring mitochondrial respiration, the cellular stress arising from the freezing process significantly impacted cellular bioenergetics including ATP production, maximal respiration, and reserve capacity of the PBMCs in both groups [19]. Only one study included in this review reported on ultrastructural aberrations. These included: extramitochondrial aggregates, mitochondrial circumference, mitochondrial area, and mitochondrial pleomorphism in ME/CFS/SEID patients compared to HC participants [16]. Reports not included in this review described mitochondrial changes in 70% of ME/CFS/SEID patients, involving changes in mitochondrial size as well as cristae branching and cristae fusion resulting in a compartmentalized appearance [33, 34]. Plioplys and Plioplys used similar protocol, differing by criteria used to define ME/CFS/SEID patients, yet reported contradictory findings. This difference may have arisen as a result of inconsistencies in quantification methods [16]. All included DNA studies in this review suggested that ME/CFS/SEID patients do not exhibit disease causing variants [20]. This finding was consistent across both moderately and severely affected ME/CFS patient groups. Additionally, there was no difference found in DNA copy number. A limitation to our search strategy was that some potentially relevant articles were excluded based on not having a HC group. Further analysis of those excluded articles supported these findings (e.g., [35]). These findings suggest that ME/CFS/SEID is not a primary mitochondrial disorder. Altered leukocyte gene expression levels have been identified in fatigue-related pathways [10]. Transcriptome analyses found significantly increased transcription of three genes in ME/CFS/SEID patients: PMAIP1, PMPCB and JUN [18]. These genes have an important role in mitochondrial function and apoptosis, and may contribute to the neuroinflammatory processes, oxidative stress, increased ventricular lactate, imbalanced metabolites, disrupted circadian rhythm, and impaired respiratory function described across multiple studies [5, 12, 13, 17, 18, 21–23, 35]. Results from respiratory function and glycolysis studies lacked consistency. Interestingly, two papers reported decreased proton leak with decreased mitochondrial efficiency parameters in ME/CFS/SEID patients [12, 19]. An increase in proton leak would usually correspond to decreased mitochondrial efficiency, as observed in two other studies by Missailidis et al. [12, 22, 23, 36]. Missailidis et al. showed that respiratory function parameters can be part of an effective method to distinguish between ME/CFS/SEID and HC participant cells, however these findings require further validation in a larger cohort [23]. It is difficult to make reliable conclusions based on the glycolytic activity and respiratory function described in these featured studies, further research is required. Nguyen et al. found no significant mitochondrial Ca2+ concentration changes in the presence of stimulants [14]. That study, however, reported a reduction of cytoplasmic Ca2+ concentration in CD19+ B lymphocytes and CD56bright NK cells in the presence of stimulants. Mitochondrial processes including respiratory function are Ca2+-dependent, cytosolic Ca2+ levels influence uptake by mitochondria through Ca2+-dependent channels [37, 38]. Disruption of Ca2+ channel function, specifically transient receptor potential melastatin 3, has been implicated in ME/CFS/SEID patient NK cell pathology resulting in decreased Ca2+ mobilization [39, 40]. As Ca2+ is fundamental for many NK cell processes including cytotoxicity, NK cell function is consequently impaired [39, 40]. This impairment may aggravate the production of reactive oxygen species and contribute to the decline of mitochondrial processes, both observed in other studies [41]. Impaired NK cell cytotoxicity is the most consistently described feature in ME/CFS/SEID [42]. Mitochondrial dysfunction may therefore be a consequence, rather than a primary causative factor, in ME/CFS/SEID [44]. Twelve of the studies investigated changes in metabolites including ATP, TCA, and urea cycles [5, 7–9, 12, 13, 15, 17, 19, 21–23]. In this review, discrepancies were observed in ATP levels. The reduction of ATP levels was observed in three studies [8, 12, 19]. Three studies reported no changes in ATP levels [9, 17, 22]. Another study not included in the final review found an increase in externally-derived mitochondria [43]. Missailidis et al. reported that ATP levels were able to be maintained despite inefficiency of Complex V, due to signaling networks being able to homeostatically respond to cellular stresses [17]. Conditions might account for varied results, for example cellular glucose levels [19]. Citrulline, pyruvate, and isocitrate ratios were significantly higher in ME/CFS/SEID patients compared to HC participants. Succinate (which is downstream of the other metabolites) does not significantly differ in level between ME/CFS/SEID patients and HC participants. Disruption of early stages of the TCA cycle is suggested to be present in ME/CFS/SEID patients [21]. Abnormalities in 20 out of 63 metabolic pathways that were tested included: purine, cholesterol, and pyrroline-5-carboxylate. It has been described that these differences make ME/CFS/SEID patients chemically distinguishable from respective HC participants [13]. This is only a small representation of available metabolite studies, a detailed investigation on metabolomic dysregulation in ME/CFS/SEID patients compared to healthy controls has been conducted by Huth et al. [44]. The two studies that investigated CoQ10 found a decrease of this compound in ME/CFS/SEID patients compared to HC participants [8, 11]. This reduction could result in an upregulation of nuclear factor kappa-light-chain-enhancer in activated B cells (NFκB) and also induction of oxidative and nitrosative stress pathways [11]. An interventional study has shown potential benefits of CoQ10 plus nicotinamide adenine dinucleotide supplementation, finding reduced maximum heart rate and perceptions of fatigue post exercise testing in ME/CFS/SEID patients [45]. Interventional studies, however, were not in the scope of this review. An article published by Gorman et al. identified overlapping features in classic forms of mitochondrial disease and ME/CFS/SEID, perceived fatigue was a particular feature [46]. Molecular analysis of mitochondrial dysfunction in ME/CFS/SEID has not identified any characteristic mitochondrial gene variants in mitochondrial disease [20]. Smits et al. compared mitochondrial respiratory chain complex activity between ME/CFS/SEID, known mitochondrial disorder and HC participants [47]. Due to the inclusion of inappropriate HC participants, that paper was not included in the final review, it identified distinct differences in ATP production rate and respiratory chain complex activity between ME/CFS/SEID and known mitochondrial disorder participants [47]. An additional study investigating the presence of autoreactive antibodies in ME/CFS/SEID patients has been released. That article, though following all our inclusion criteria, was not included in the final analysis because it was published after we screened for papers. Only one out of 161 ME/CFS/SEID patients were positive for anti-pyruvate dehydrogenase complex antibodies. Anti-mitochondrial antibodies in general were negative in ME/CFS/SEID populations. This research suggests that mitochondrial dysfunction in ME/CFS/SEID patients cannot be explained by the presence of circulating anti-mitochondrial autoantibodies [48]. All included studies, while evidence of mitochondrial pathway disruption is present, are limited by small sample sizes and experiments are not standardized, having low reproducibility. Deriving appropriate conclusions is therefore difficult. Additionally, these studies are case-controlled so only reflect singular points in time. Longitudinal study design may be an important consideration for future studies as differences in mitochondrial function over time may relate to changes in disease activity, symptom presentation, and symptom severity [35]. Quality levels varied across studies. All studies assessed outcomes in a standard, valid and reliable way (JBI CACCCS item eight) for ME/CFS/SEID and HC participants using a variety of different methods such as Seahorse, MitoTracker, nuclear magnetic resonance (NMR) spectroscopy, magnetic resonance spectroscopy, DNA/RNA sequencing and electron microscopy. JBI CACCCS item three was the second-most addressed checklist item, selection criteria used to define ME/CFS/SEID and HC cohorts were provided and consistent between both groups. Absent criteria for HC participants was the main reason why some studies did not adhere to this item. JBI CACCCS items one, six and 10 followed. Groups were comparable (other than the presence of disease in ME/CFS/SEID participants and absence of disease in HC participants) through age and sex matching. Identified confounding factors included obesity, sampling time, medication and/or dietary supplements, smoking status, and shift work. Studies that adhered to JBI CACCCS item 10 conducted appropriate statistical analyses including adjusting for multiple comparisons where required and performing normality checks. Mitigation of confounding factors was variously achieved by inclusion of a sampling time range, exclusion criteria (such as shift work, obesity, and smoking status) and ceasing medications and/or dietary supplements for an advised duration prior to study participation. In some cases, studies identified confounding factors but did not adequately control for them. JBI CACCCS item two was least addressed, involving appropriate matching of ME/CFS/SEID patient source population to HC participants included in the study. In all these cases, source population information was not provided. Recommendations for future studies include stricter selection criteria, exclusion based on smoking status, sociodemographic matching, and age and sex matching ME/CFS/SEID patients to HC participants.

Conclusion

Evidence of potentially disrupted mitochondrial pathways is difficult to establish with certainty due to the use of different sampling methodology. There is consistent genomic research suggesting that ME/CFS/SEID is not a primary mitochondrial disorder, however, mitochondrial decline might occur due to secondary effects of other disrupted pathways. Additionally, findings across the studies were inconsistent. As population samples were small, these results should be interpreted cautiously. The cause of ME/CFS/SEID remains unknown and future studies using the same ME/CFS/SEID diagnostic criteria and analysis methods are required to  determine mitochondrial contribution to ME/CFS/SEID pathomechanisms. Additional File 1. Raw search code. Additional File 2. JBI quality assessment table and descriptions.
  44 in total

1.  Mitochondrial enzymes discriminate between mitochondrial disorders and chronic fatigue syndrome.

Authors:  Bart Smits; Lambert van den Heuvel; Hans Knoop; Benno Küsters; Antoon Janssen; George Borm; Gijs Bleijenberg; Richard Rodenburg; Baziel van Engelen
Journal:  Mitochondrion       Date:  2011-06-02       Impact factor: 4.160

2.  Could mitochondrial dysfunction be a differentiating marker between chronic fatigue syndrome and fibromyalgia?

Authors:  Jesús Castro-Marrero; Mario D Cordero; Naia Sáez-Francas; Conxita Jimenez-Gutierrez; Francisco J Aguilar-Montilla; Luisa Aliste; José Alegre-Martin
Journal:  Antioxid Redox Signal       Date:  2013-05-29       Impact factor: 8.401

3.  Reduced glycolytic reserve in isolated natural killer cells from Myalgic encephalomyelitis/ chronic fatigue syndrome patients: A preliminary investigation

Authors:  Thao Nguyen; Donald Staines; Samantha Johnston; Sonya Marshall-Gradisnik
Journal:  Asian Pac J Allergy Immunol       Date:  2019-06       Impact factor: 2.310

Review 4.  Calcium-dependent mitochondrial function and dysfunction in neurons.

Authors:  Natalia B Pivovarova; S Brian Andrews
Journal:  FEBS J       Date:  2010-07-26       Impact factor: 5.542

5.  Metabolic profiling of a myalgic encephalomyelitis/chronic fatigue syndrome discovery cohort reveals disturbances in fatty acid and lipid metabolism.

Authors:  Arnaud Germain; David Ruppert; Susan M Levine; Maureen R Hanson
Journal:  Mol Biosyst       Date:  2017-01-31

6.  Mitochondrial dysfunction and the pathophysiology of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

Authors:  Norman E Booth; Sarah Myhill; John McLaren-Howard
Journal:  Int J Clin Exp Med       Date:  2012-06-15

Review 7.  The role of mitochondria in NLRP3 inflammasome activation.

Authors:  Qiuyun Liu; Danyan Zhang; Diyu Hu; Xiangmei Zhou; Yang Zhou
Journal:  Mol Immunol       Date:  2018-09-21       Impact factor: 4.407

8.  Index markers of chronic fatigue syndrome with dysfunction of TCA and urea cycles.

Authors:  Emi Yamano; Masahiro Sugimoto; Akiyoshi Hirayama; Satoshi Kume; Masanori Yamato; Guanghua Jin; Seiki Tajima; Nobuhito Goda; Kazuhiro Iwai; Sanae Fukuda; Kouzi Yamaguti; Hirohiko Kuratsune; Tomoyoshi Soga; Yasuyoshi Watanabe; Yosky Kataoka
Journal:  Sci Rep       Date:  2016-10-11       Impact factor: 4.379

9.  Impaired calcium mobilization in natural killer cells from chronic fatigue syndrome/myalgic encephalomyelitis patients is associated with transient receptor potential melastatin 3 ion channels.

Authors:  T Nguyen; S Johnston; L Clarke; P Smith; D Staines; S Marshall-Gradisnik
Journal:  Clin Exp Immunol       Date:  2016-11-23       Impact factor: 4.330

10.  Oxygen Consumption Rate Analysis of Mitochondrial Dysfunction Caused by Bacillus cereus Cereulide in Caco-2 and HepG2 Cells.

Authors:  Marlies Decleer; Jelena Jovanovic; Anita Vakula; Bozidar Udovicki; Rock-Seth E K Agoua; Annemieke Madder; Sarah De Saeger; Andreja Rajkovic
Journal:  Toxins (Basel)       Date:  2018-07-02       Impact factor: 4.546

View more
  12 in total

Review 1.  Analysis of post COVID-19 condition and its overlap with myalgic encephalomyelitis/chronic fatigue syndrome.

Authors:  Olga A Sukocheva; Rebekah Maksoud; Narasimha M Beeraka; SabbaRao V Madhunapantula; Mikhail Sinelnikov; Vladimir N Nikolenko; Margarita E Neganova; Sergey G Klochkov; Mohammad Amjad Kamal; Donald R Staines; Sonya Marshall-Gradisnik
Journal:  J Adv Res       Date:  2021-11-26       Impact factor: 12.822

Review 2.  Role of mitochondria, oxidative stress and the response to antioxidants in myalgic encephalomyelitis/chronic fatigue syndrome: A possible approach to SARS-CoV-2 'long-haulers'?

Authors:  Emily Wood; Katherine H Hall; Warren Tate
Journal:  Chronic Dis Transl Med       Date:  2020-11-21

Review 3.  A systematic review of nutraceutical interventions for mitochondrial dysfunctions in myalgic encephalomyelitis/chronic fatigue syndrome.

Authors:  Rebekah Maksoud; Cassandra Balinas; Sean Holden; Hélène Cabanas; Donald Staines; Sonya Marshall-Gradisnik
Journal:  J Transl Med       Date:  2021-02-17       Impact factor: 5.531

Review 4.  Potential Implications of Mammalian Transient Receptor Potential Melastatin 7 in the Pathophysiology of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Review.

Authors:  Stanley Du Preez; Helene Cabanas; Donald Staines; Sonya Marshall-Gradisnik
Journal:  Int J Environ Res Public Health       Date:  2021-10-12       Impact factor: 3.390

5.  Impaired TRPM3-dependent calcium influx and restoration using Naltrexone in natural killer cells of myalgic encephalomyelitis/chronic fatigue syndrome patients.

Authors:  Natalie Eaton-Fitch; Stanley Du Preez; Hélène Cabanas; Katsuhiko Muraki; Donald Staines; Sonya Marshall-Gradisnik
Journal:  J Transl Med       Date:  2022-02-16       Impact factor: 5.531

Review 6.  Molecular Hydrogen as a Medical Gas for the Treatment of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Possible Efficacy Based on a Literature Review.

Authors:  Shin-Ichi Hirano; Yusuke Ichikawa; Bunpei Sato; Yoshiyasu Takefuji; Fumitake Satoh
Journal:  Front Neurol       Date:  2022-04-11       Impact factor: 4.086

7.  Phenotypic characteristics of peripheral immune cells of Myalgic encephalomyelitis/chronic fatigue syndrome via transmission electron microscopy: A pilot study.

Authors:  Fereshteh Jahanbani; Rajan D Maynard; Justin Cyril Sing; Shaghayegh Jahanbani; John J Perrino; Damek V Spacek; Ronald W Davis; Michael P Snyder
Journal:  PLoS One       Date:  2022-08-09       Impact factor: 3.752

8.  Changes in DNA methylation profiles of myalgic encephalomyelitis/chronic fatigue syndrome patients reflect systemic dysfunctions.

Authors:  A M Helliwell; E C Sweetman; P A Stockwell; C D Edgar; A Chatterjee; W P Tate
Journal:  Clin Epigenetics       Date:  2020-11-04       Impact factor: 6.551

Review 9.  Commonalities in the Features of Cancer and Chronic Fatigue Syndrome (CFS): Evidence for Stress-Induced Phenotype Instability?

Authors:  Andrej Rusin; Colin Seymour; Alan Cocchetto; Carmel Mothersill
Journal:  Int J Mol Sci       Date:  2022-01-08       Impact factor: 5.923

10.  A map of metabolic phenotypes in patients with myalgic encephalomyelitis/chronic fatigue syndrome.

Authors:  Fredrik Hoel; August Hoel; Ina Kn Pettersen; Ingrid G Rekeland; Kristin Risa; Kine Alme; Kari Sørland; Alexander Fosså; Katarina Lien; Ingrid Herder; Hanne L Thürmer; Merete E Gotaas; Christoph Schäfer; Rolf K Berge; Kristian Sommerfelt; Hans-Peter Marti; Olav Dahl; Olav Mella; Øystein Fluge; Karl J Tronstad
Journal:  JCI Insight       Date:  2021-08-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.