|
1
|
Fukuda K, Straus SE, Hickie I, Sharpe MC,
Dobbins JG and Komaroff A: The chronic fatigue syndrome: A
comprehensive approach to its definition and study. International
chronic fatigue syndrome study group. Ann Intern Med. 121:953–959.
1994. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Bested AC, Logan AC and Howe R: Hope and
Help for Chronic Fatigue Syndrome and Fibromyalgia. Cumberland
House; Nashville, TN: 2008
|
|
3
|
Jason LA, Richman JA, Rademaker AW, Jordan
KM, Plioplys AV, Taylor RR, McCready W, Huang CF and Plioplys S: A
community-based study of chronic fatigue syndrome. Arch Intern Med.
159:2129–2137. 1999. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Kuratsune H: Overview of chronic fatigue
syndrome focusing on prevalence and diagnostic criteria. Nihon
Rinsho. 65:983–990. 2007.In Japanese. PubMed/NCBI
|
|
5
|
Reynolds KJ, Vernon SD, Bouchery E and
Reeves WC: The economic impact of chronic fatigue syndrome. Cost
Eff Resour Alloc. 2:42004. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Reyes M, Nisenbaum R, Hoaglin DC, Unger
ER, Emmons C, Randall B, Stewart JA, Abbey S, Jones JF, Gantz N, et
al: Prevalence and incidence of chronic fatigue syndrome in
Wichita, Kansas. Arch Intern Med. 163:1530–1536. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Vernon SD, Whistler T, Aslakson E,
Rajeevan M and Reeves WC: Challenges for molecular profiling of
chronic fatigue syndrome. Pharmacogenomics. 7:211–218. 2006.
View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Wold S: Pattern Recognition by means of
disjoint principal components models. Pattern Recognition.
8:127–139. 1976. View Article : Google Scholar
|
|
9
|
Coomans D, Broeckaert I, Derde MP, Tassin
A, Massart DL and Wold S: Use of a microcomputer for the definition
of multivariate confidence regions in medical diagnosis based on
clinical laboratory profiles. Comput Biomed Res. 17:1–14. 1984.
View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Sakudo A, Kuratsune H, Kobayashi T, Tajima
S, Watanabe Y and Ikuta K: Spectroscopic diagnosis of chronic
fatigue syndrome by visible and near-infrared spectroscopy in serum
samples. Biochem Biophys Res Commun. 345:1513–1516. 2006.
View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Sakudo A, Kuratsune H, Kato YH and Ikuta
K: Visible and near-infrared spectra collected from the thumbs of
patients with chronic fatigue syndrome for diagnosis. Clin Chim
Acta. 413:1629–1632. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Sakudo A, Hakariya Y, Kobayashi T,
Sugimoto A and Ikuta K: Possible application of visible and
near-infrared spectral patterns in serum to provide emerging clue
to biomarkers for chronic fatigue syndrome. J IiME. 2:4–7.
2008.
|
|
13
|
Patarca R: Cytokines and chronic fatigue
syndrome. Ann NY Acad Sci. 933:185–200. 2001. View Article : Google Scholar
|
|
14
|
Vernon SD and Reeves WC: Evaluation of
autoantibodies to common and neuronal cell antigens in Chronic
Fatigue Syndrome. J Autoimmune Dis. 2:52005. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Nijs J and De Meirleir K: Impairments of
the 2-5A synthetase/RNase L pathway in chronic fatigue syndrome. In
vivo. 19:1013–1021. 2005.PubMed/NCBI
|
|
16
|
Cleare AJ: The neuroendocrinology of
chronic fatigue syndrome. Endocr Rev. 24:236–252. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Allain TJ, Bearn JA, Coskeran P, Jones J,
Checkley A, Butler J, Wessely S and Miell JP: Changes in growth
hormone, insulin, insulinlike growth factors (IGFs), and
IGF-binding protein-1 in chronic fatigue syndrome. Biol Psychiatry.
41:567–573. 1997. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Kuratsune H, Yamaguti K, Takahashi M,
Misaki H, Tagawa S and Kitani T: Acylcarnitine deficiency in
chronic fatigue syndrome. Clin Infect Dis. 18(Suppl 1): S62–S67.
1994. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Jacobson W, Saich T, Borysiewicz LK, Behan
WM, Behan PO and Wreghitt TG: Serum folate and chronic fatigue
syndrome. Neurology. 43:2645–2647. 1993. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Werbach MR: Nutritional strategies for
treating chronic fatigue syndrome. Altern Med Rev. 5:93–108.
2000.PubMed/NCBI
|
|
21
|
Maes M, Mihaylova I and De Ruyter M: Lower
serum zinc in Chronic Fatigue Syndrome (CFS): Relationships to
immune dysfunctions and relevance for the oxidative stress status
in CFS. J Affect Disord. 90:141–147. 2006. View Article : Google Scholar
|
|
22
|
Whiteside TL and Friberg D: Natural killer
cells and natural killer cell activity in chronic fatigue syndrome.
Am J Med. 105(Suppl): 27S–34S. 1998. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Curriu M, Carrillo J, Massanella M, Rigau
J, Alegre J, Puig J, Garcia-Quintana AM, Castro-Marrero J, Negredo
E, Clotet B, et al: Screening NK-, B- and T-cell phenotype and
function in patients suffering from Chronic Fatigue Syndrome. J
Transl Med. 11:682013. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Parker AJ, Wessely S and Cleare AJ: The
neuroendocrinology of chronic fatigue syndrome and fibromyalgia.
Psychol Med. 31:1331–1345. 2001. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Morris G, Anderson G, Galecki P, Berk M
and Maes M: A narrative review on the similarities and
dissimilarities between myalgic encephalomyelitis/chronic fatigue
syndrome (ME/CFS) and sickness behavior. BMC Med. 11:642013.
View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Morris G, Berk M, Galecki P, Walder K and
Maes M: The neuro-immune pathophysiology of central and peripheral
fatigue in systemic immune-inflammatory and neuro-immune diseases.
Mol Neurobiol. 53:1195–1219. 2016. View Article : Google Scholar
|
|
27
|
Dell'Osso L, Bazzichi L, Baroni S,
Falaschi V, Conversano C, Carmassi C and Marazziti D: The
inflammatory hypothesis of mood spectrum broadened to fibromyalgia
and chronic fatigue syndrome. Clin Exp Rheumatol. 33(1 Suppl 88):
S109–S116. 2015.PubMed/NCBI
|
|
28
|
Nijs J, Nees A, Paul L, De Kooning M,
Ickmans K, Meeus M and Van Oosterwijck J: Altered immune response
to exercise in patients with chronic fatigue syndrome/myalgic
encephalomyelitis: A systematic literature review. Exerc Immunol
Rev. 20:94–116. 2014.PubMed/NCBI
|
|
29
|
Sakudo A, Hakariya Y, Kobayashi T and
Ikuta K: Visible and near-infrared (Vis-NIR) spectroscopy:
Introduction and perspectives for diagnosis of chronic fatigue
syndrome. J IiME. 1:8–18. 2007.
|
|
30
|
Heise HM: Applications of near-infrared
spectroscopy in medical sciences. Near-infrared Spectroscopy:
Principles, Instruments, Applications. Siesler HW, Ozaki Y, Kawata
S and Heise HM: Wiley-VCH; Weinheim: pp. 289–333. 2002
|
|
31
|
Matsunaga A, Nomura Y, Kuroda S, Tamura M,
Nishihira J and Yoshimura N: Energy-dependent redox state of heme a
+ a3 and copper of cytochrome oxidase in perfused rat brain in
situ. Am J Physiol. 275:C1022–C1030. 1998.PubMed/NCBI
|
|
32
|
Hoshi Y, Hazeki O and Tamura M: The oxygen
dependency of the redox state of heme and copper in cytochrome
oxidase in vitro. Adv Exp Med Biol. 248:71–76. 1989. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Sakudo A, Kato YH, Tajima S, Kuratsune H
and Ikuta K: Visible and near-infrared spectral changes in the
thumb of patients with chronic fatigue syndrome. Clin Chim Acta.
403:163–166. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Stuart B: Biological Applications of
Infrared Spectroscopy. John Wiley & Sons Ltd; New York:
1997
|
|
35
|
Sakudo A, Kuratsune H, Kato YH and Ikuta
K: Secondary structural changes of proteins in fingernails of
chronic fatigue syndrome patients from Fourier-transform infrared
spectra. Clin Chim Acta. 402:75–78. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Simick MK, Jong R, Wilson B and Lilge L:
Non-ionizing near-infrared radiation transillumination spectroscopy
for breast tissue density and assessment of breast cancer risk. J
Biomed Opt. 9:794–803. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Liu KZ, Shi M, Man A, Dembinski TC and
Shaw AR: Quantitative determination of serum LDL cholesterol by
near-infrared spectroscopy. Vib Spectrosc. 38:203–208. 2005.
View Article : Google Scholar
|
|
38
|
Robinson MR, Eaton RP, Haaland DM, Koepp
GW, Thomas EV, Stallard BR and Robinson PL: Noninvasive glucose
monitoring in diabetic patients: A preliminary evaluation. Clin
Chem. 38:1618–1622. 1992.PubMed/NCBI
|
|
39
|
Gabriely I, Wozniak R, Mevorach M, Kaplan
J, Aharon Y and Shamoon H: Transcutaneous glucose measurement using
near-infrared spectroscopy during hypoglycemia. Diabetes Care.
22:2026–2032. 1999. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Hock C, Villringer K, Müller-Spahn F,
Hofmann M, Schuh-Hofer S, Heekeren H, Wenzel R, Dirnagl U and
Villringer A: Near infrared spectroscopy in the diagnosis of
Alzheimer's disease. Ann N Y Acad Sci. 777:22–29. 1996. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Watanabe E, Nagahori Y and Mayanagi Y:
Focus diagnosis of epilepsy using near-infrared spectroscopy.
Epilepsia. 43(Suppl 9): 50–55. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Sokol DK, Markand ON, Daly EC, Luerssen TG
and Malkoff MD: Near infrared spectroscopy (NIRS) distinguishes
seizure types. Seizure. 9:323–327. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Hazen KH, Arnold MA and Small GW:
Measurement of glucose and other analytes in undiluted human serum
with near-infrared transmission spectroscopy. Anal Chim Acta.
371:255–267. 1998. View Article : Google Scholar
|
|
44
|
Kobayashi T, Kato YH, Tsukamoto M, Ikuta K
and Sakudo A: Portable visible and near-infrared spectrophotometer
for triglyceride measurements. Int J Mol Med. 23:75–79. 2009.
|
|
45
|
Sakudo A, Kato YH, Kuratsune H and Ikuta
K: Non-invasive prediction of hematocrit levels by portable visible
and near-infrared spectrophotometer. Clin Chim Acta. 408:123–127.
2009. View Article : Google Scholar : PubMed/NCBI
|
