near-infrared spectroscopy – American ME and CFS Society

Near-Infrared Spectroscopy Screening to Allow Detection of Pathogenic Mitochondrial DNA Variants in Individuals with Unexplained Abnormal Fatigue: A Preliminary Study

Abstract:

Unexplained abnormal fatigue is characterized by chronic fatigue persisting for at least six months and not sufficiently explained by any recognized medical condition. In this pilot study, twelve individuals with abnormal fatigue remaining unexplained after thorough screening were investigated using a near-infrared (NIR) spectroscopy handgrip test.

Four of them were found to have an abnormal oxygen extraction pattern similar to participants with documented mitochondrial myopathy. In three of the four individuals, diverse mitochondrial abnormalities were documented by spectrophotometric, immunocytological, fluorescent, and morphological analyses performed in skeletal muscle and in cultured skin fibroblasts. Three of the four participants with decreased muscular oxygen extraction were each shown to harbor a different homoplasmic pathogenic mitochondrial DNA point mutation (m.961T > C, m.1555A > G, m.14484T > C). In the fourth participant, the presence of multiple large mitochondrial DNA deletions was suspected in muscle tissue. In contrast, none of the eight abnormally fatigued participants with normal NIR spectroscopy results harbored either a pathogenic mitochondrial DNA point mutation or large deletions ( P < 0.001).

This pilot study shows that NIR spectroscopy may serve as a noninvasive screening tool to delineate a subgroup (of participants) with mitochondrial dysfunction among the large group of individuals with unexplained abnormal fatigue.

Source: Celie BM, Mariman A, Boone J, Delesie L, Tobback E, Seneca S, De Paepe B, Vogelaers D, Van Coster RN, Bourgois JG. Near-Infrared Spectroscopy Screening to Allow Detection of Pathogenic Mitochondrial DNA Variants in Individuals with Unexplained Abnormal Fatigue: A Preliminary Study. Appl Spectrosc. 2018 May;72(5):715-724. doi: 10.1177/0003702818756647. Epub 2018 Feb 13. https://www.ncbi.nlm.nih.gov/pubmed/29336589

Potential use of visible and near-infrared spectroscopy for the analysis and diagnosis of chronic fatigue syndrome (Review)

Abstract:

At present, chronic fatigue syndrome (CFS) is diagnosed on the basis of clinical symptoms. Although various psychological, endocrinological and immunological abnormalities of patients with CFS have been reported, no clear consensus exists regarding the symptoms for this disorder. Thus, an objective diagnostic method for CFS is urgently required.

The present study investigated the diagnosis and analysis of CFS using visible and near infrared (Vis NIR) spectroscopy. Previous studies have demonstrated the potential of Vis-NIR spectroscopy for diagnosing CFS by analyzing either serum samples as an invasive approach or thumbs as a non invasive approach.

Analysis of the Vis NIR spectra of blood and thumbs suggested that factors absorbing in this spectral region are altered in patients with CFS compared with healthy individuals. These findings are likely to facilitate the search for biomarkers associated with CFS and to increase our understanding of the pathophysiology of the disorder. The current review aimed to outline the latest studies and discuss the future perspectives for CFS made possible by Vis-NIR spectroscopy.

Source: Sakudo A. Potential use of visible and near-infrared spectroscopy for the analysis and diagnosis of chronic fatigue syndrome (Review). Mol Med Rep. 2016 Sep;14(3):1875-9. doi: 10.3892/mmr.2016.5476. Epub 2016 Jul 7. https://www.ncbi.nlm.nih.gov/pubmed/27430297

Submaximal exercise testing with near-infrared spectroscopy in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome patients compared to healthy controls: a case-control study

Abstract:

BACKGROUND: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating illness. Symptoms include profound fatigue and distinctive post-exertional malaise (PEM). We asked whether a submaximal exercise test would prove useful for identifying different patterns of tissue oxygen utilization in individuals with ME/CFS versus healthy subjects. Such a test has potential to aid with ME/CFS diagnosis, or to characterize patients’ illness.

METHODS: A case-control study of 16 patients with ME/CFS compared to 16 healthy controls completing a 3-min handgrip protocol was performed. Response was measured using near-infrared spectroscopy, resulting in measurements of oxygenated (O2Hb) and deoxygenated hemoglobin (HHb) over wrist extensors and flexors. Changes in O2Hb (delta (d)O2Hb) and HHb (dHHb) absorbance between the first and last contraction were calculated, as were the force-time product of all contractions, measured as tension-time index (TTI), and ratings of perceived exertion (RPE).

RESULTS: Individuals with ME/CFS demonstrated smaller dO2Hb and dHHb than controls. However, after adjusting for TTI and change in total hemoglobin (delta (d)tHb), differences in dO2Hb and dHHb were reduced, with large overlapping variances. RPE was significantly higher for cases than controls, particularly at rest.

CONCLUSIONS: Relative to controls, participants with ME/CFS demonstrated higher RPE, lower TTI, and reduced dO2Hb and dHHb during repetitive handgrip exercise, although considerable variance was observed. With further study, submaximal exercise testing may prove useful for stratifying patients with a lower propensity for inducing PEM, and have the ability to establish baseline intensities for exercise prescription.

Source: Miller RR, Reid WD, Mattman A, Yamabayashi C, Steiner T, Parker S, Gardy J, Tang P, Patrick DM. Submaximal exercise testing with near-infrared spectroscopy in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome patients compared to healthy controls: a case-control study. J Transl Med. 2015 May 20;13:159. doi: 10.1186/s12967-015-0527-8. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438583/ (Full article)

Visible and near-infrared spectra collected from the thumbs of patients with chronic fatigue syndrome for diagnosis

Abstract:

BACKGROUND: Currently, diagnosis of chronic fatigue syndrome (CFS) is based on clinical symptoms and therefore relies on the experience and skill of the doctors. Here, we have examined the possible diagnosis of CFS based on spectral information and chemometrics analysis, such as principal component analysis (PCA) and soft modeling of class analogy (SIMCA).

METHODS: Visible and near-infrared (Vis-NIR) spectroscopy was used to examine possible changes in the region of 600-1100 nm in thumbs and assessed.

RESULTS: The Vis-NIR spectra of thumbs from 57 CFS patients and 74 healthy volunteers were subjected to PCA and SIMCA to develop multivariate models to discriminate between CFS patients and healthy individuals. The model was further assessed by the prediction of 120 determinations (60 in the healthy group and 60 in the CFS patient group). The PCA model predicted a discrimination of the masked samples; specifically the SIMCA model correctly predicted 51 of 60 (83.3%) healthy volunteers and 42 of 60 (70%) CFS patients.

CONCLUSIONS: Despite the relatively small number of subjects involved in this trial, who were exclusively Japanese, our results imply that Vis-NIR spectroscopy of the thumb combined with chemometrics analysis may provide a valuable tool for diagnosing CFS.

Source: Sakudo A, Kuratsune H, Kato YH, Ikuta K. Visible and near-infrared spectra collected from the thumbs of patients with chronic fatigue syndrome for diagnosis. Clin Chim Acta. 2012 Oct 9;413(19-20):1629-32. doi: 10.1016/j.cca.2012.05.004. Epub 2012 May 11. https://www.ncbi.nlm.nih.gov/pubmed/22583968

Visible and near-infrared spectral changes in the thumb of patients with chronic fatigue syndrome

Abstract:

BACKGROUND: Chronic fatigue syndrome (CFS) patients show a persistent fatigue condition with muscle pain and impairment of concentration, memory, and sleep. Presently, the physiological basis of CFS remains unclear. In this study, spectroscopic differences in the thumb were compared between 103 CFS patients and 122 healthy controls to examine possible changes of levels of oxygenated or deoxygenated hemoglobin.

METHODS: Visible and near-infrared (Vis-NIR) spectroscopy was used to examine possible changes in the region of 600-1100 nm.

RESULTS: Vis-NIR spectra showed sharp peaks at 694, 970 and 1060 nm and broad peaks in the regions of 740-760 and 830-850 nm. As these peaks are possibly related to oxyhemoglobin, cytochrome c oxidase and water, levels of these factors were compared between the two groups. Statistical analysis of the absorbance of Vis-NIR spectra showed a significant decrease in water content, a significant increase in oxyhemoglobin content, and a significant increase in the oxidation of heme a+a(3) and copper in cytochrome c oxidase in CFS patients.

CONCLUSIONS: These changes imply accelerated blood flow and energy metabolism in the thumbs of CFS patients.

Source: Sakudo A, Kato YH, Tajima S, Kuratsune H, Ikuta K. Visible and near-infrared spectral changes in the thumb of patients with chronic fatigue syndrome. Clin Chim Acta. 2009 May;403(1-2):163-6. doi: 10.1016/j.cca.2009.02.010. Epub 2009 Feb 25. https://www.ncbi.nlm.nih.gov/pubmed/19248775

Spectroscopic diagnosis of chronic fatigue syndrome by multivariate analysis of visible and near-infrared spectra

Abstract:

We have recently evaluated the possibility of visible and near-infrared (Vis-NIR) spectroscopy for diagnosis of chronic fatigue syndrome(CFS). Vis-NIR spectra in the 600-1,100 nm region for sera from CFS patients and healthy donors were subjected to principal component analysis (PCA) and soft independent modeling of class analogy (SIMCA) to develop multivariate models to discriminate between CFS patients and healthy donors. The PCA and SIMCA model predicted successful prediction of the masked samples. Furthermore, taking advantage of Vis-NIR spectroscopy to enable noninvasive analysis, our preliminary results have shown that SIMCA model from Vis-NIR spectra of thumb has achieved 70-80% correct determinations. In this review, we will introduce the potential of the Vis-NIR spectroscopy for CFS diagnosis.

Source: Sakudo A, Kuratsune H, Hakariya Y, Kobayashi T, Ikuta K. Spectroscopic diagnosis of chronic fatigue syndrome by multivariate analysis of visible and near-infrared spectra. Nihon Rinsho. 2007 Jun;65(6):1051-6. [Article in Japanese] https://www.ncbi.nlm.nih.gov/pubmed/17561696