Plasma neuropeptide Y: a biomarker for symptom severity in chronic fatigue syndrome
- Mary A Fletcher†1, 2, 3Email author,
- Martin Rosenthal1,
- Michael Antoni2,
- Gail Ironson2,
- Xiao R Zeng1, 3,
- Zachary Barnes1,
- Jeanna M Harvey1,
- Barry Hurwitz2,
- Silvina Levis1, 3,
- Gordon Broderick4 and
- Nancy G Klimas†1, 2, 3
© Fletcher et al; licensee BioMed Central Ltd. 2010
Received: 10 October 2010
Accepted: 29 December 2010
Published: 29 December 2010
Chronic fatigue syndrome (CFS) is a complex, multi-symptom illness with a multisystem pathogenesis involving alterations in the nervous, endocrine and immune systems.
Abnormalities in stress responses have been identified as potential triggers or mediators of CFS symptoms. This study focused on the stress mediator neuropeptide Y (NPY). We hypothesized that NPY would be a useful biomarker for CFS.
The CFS patients (n = 93) were from the Chronic Fatigue and Related Disorders Clinic at the University of Miami and met the 1994 case definition of Fukuda and colleagues. Healthy sedentary controls (n = 100)) were from NIH or VA funded studies. Another fatiguing, multi-symptom illness, Gulf War Illness (GWI), was also compared to CFS. We measured NPY in plasma using a radioimmunoassay (RIA). Psychometric measures, available for a subset of CFS patients included: Perceived Stress Scale, Profile of Mood States, ATQ Positive & Negative Self-Talk Scores, the COPE, the Beck Depression Inventory, Fatigue Symptom Inventory, Cognitive Capacity Screening Examination, Medical Outcomes Survey Short Form-36, and the Quality of Life Scale.
Plasma NPY was elevated in CFS subjects, compared to controls (p = .000) and to GWI cases (p = .000). Receiver operating characteristics (ROC) curve analyses indicated that the predictive ability of plasma NPY to distinguish CFS patients from healthy controls and from GWI was significantly better than chance alone. In 42 patients with CFS, plasma NPY had significant correlations (<0.05) with perceived stress, depression, anger/hostility, confusion, negative thoughts, positive thoughts, general health, and cognitive status. In each case the correlation (+ or -) was in the anticipated direction.
This study is the first in the CFS literature to report that plasma NPY is elevated compared to healthy controls and to a fatigued comparison group, GWI patients. The significant correlations of NPY with stress, negative mood, general health, depression and cognitive function strongly suggest that this peptide be considered as a biomarker to distinguish subsets of CFS.
According to the 1994 international research case definition , as modified according to Reeves, et al , chronic fatigue syndrome (CFS) is an illness characterized by 1) the presence of persisting, debilitating fatigue that does not resolve with bed rest, and lasts for at least six months resulting in severe impairment in daily function; 2) by symptoms and disability that cannot be ascribed to any other medical and psychiatric conditions. Diagnosis relies in large part on behavioral markers, either patients' self-reported symptoms or observations by clinicians. Laboratory diagnostic and screening tests are not widely available.
In 60 to 80% of published samples, CFS presented with acute onset of illness, with systemic symptoms similar to influenza infection that did not subside . The sudden onset, the symptoms of myalgia, arthralgia, sore throat and tender lymphadenopathy support theories of infection induced illness [3, 4]. Published reports both confirm and deny associated microbial infections, reactivation of latent herpes virus infections and/or retrovirus infections in CFS [5–14].
CFS is responsible for significant morbidity and occurs in an estimated 0.42% of people, predominately female, in the United States and worldwide [15, 16]. Prior work strongly suggests this complex, multi-symptom illness has a multi-system pathogenesis that involves the nervous, endocrine and immune systems [3, 17–21]. Abnormalities in stress responses have been identified as potential triggers or mediators of CFS symptoms [22–24].
Neuropeptide Y (NPY) is found in both the central and peripheral nervous systems. In the peripheral nervous system, NPY is concentrated in and released from sympathetic nerve endings, either alone or with catecholamines. Irwin reported NPY increased in depressed and stressed subjects, and suggested that "circulating levels of this neuropeptide serves as a tonic measure of sympathetic activity". NPY release follows stress such as strenuous exercise , panic disorders , and cold exposure . In the periphery, NPY is activating and stimulates the stress response, but in the brain, NPY is anxiolytic, inhibitory of sympathetic activity and causes lowering of blood pressure and heart rate [29, 30]. Concentrations of NPY in the brain are higher than other neuropeptides, particularly in the limbic system, including the amygdala and the hypothalamus, all areas of the brain involved with emotion [31, 32].
Plasma levels of NPY are reported to be elevated in other complex multi-symptom illnesses associated with immunologic dysfunction, including rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) . A recent study compared 51 fibromyalgia patients to 25 healthy controls and reported elevated plasma NPY . However, an earlier study found lower NPY in 12 fibromyalgia cases 
Given these reports, it seemed likely that plasma NPY would be elevated in CFS. Elevated NPY would be anticipated to correlate with psychological measures of stress and other aspects of CFS symptoms. However, we could find no such studies. There is a clear need for CFS biomarkers that are useful in diagnosis, in defining patient subgroups and in therapeutic trials. We tested and confirmed the hypotheses that elevation of peripheral NPY occurs in CFS and that elevation of NPY is associated with severity of stress, negative mood and clinical symptoms.
Abnormalities in stress responses have been identified as potential triggers or mediators of CFS symptoms. This study focused on the stress mediator neuropeptide Y (NPY). The aim was to examine the potential of plasma NPY as a biomarker for stress and symptom severity in CFS.
All subjects were participants in research studies taking place between 2002 to 2010 at the University of Miami or the Miami Veterans Administration Health Care Center (funded by NIH, VA, Chronic Fatigue and Immunodeficiency Syndrome Association or the University of Miami).
Chronic fatigue syndrome patients (n = 93; age 18 to 60, mean age 44 +/- 9 S.D.; median age 46, 25 percentile 38, 75 percentile 50; 83% female) were drawn from the University of Miami Miller School of Medicine CFS and Immunodeficiency Clinic after they were diagnosed with CFS, using the 1994 international research case definition , as modified according to Reeves, et al . This requires 4 of 8 symptoms including exercise induced relapse, myalgia, arthralgia, headache of a new and different type, nonrestorative sleep, cognitive complaints, sore throat and tender lymph nodes. Exclusion criteria included any active medical condition that could explain the presence of chronic fatigue, including diabetes, the current use of immunomodulatory or antibiotic medications, and a past or present psychiatric diagnosis of psychosis (e.g., schizophrenia), dementia, major depressive disorder with psychotic or melancholic features, bipolar disorder, anorexia or bulimia nervosa, or alcohol/substance abuse disorder within two years of the onset of the fatigue or anytime thereafter. In agreement with published samples, the majority of CFS cases presented with a history of acute onset of illness, with systemic symptoms similar to influenza infection that did not subside .
Sedentary healthy controls, with no active medical or psychiatric conditions, immunomodulating medications or alcohol/substance abuse, (n = 100; 84% female; mean age 41 +/- 10 S.D.; median age 41, 25 percentile 35, 75 percentile 49) were from NIH or VA funded studies conducted by one or more of the investigators in this study.
A comparison group of patients with a fatiguing, multi-symptom illness, GWI, was also included in the study (N = 37; 29% female, mean age 44 +/- 7; median age 42, 25 percentile 38, 75 percentile 48). The inclusion criteria for GWI, derived from the case definition by Fukuda et al , was: a veteran deployed to the theater of operations for Operation Desert Storm between August 8, 1990 and July 31, 1991 with one or more symptoms present greater than 6 months from at least 2 of the following: fatigue; mood and cognitive complaints; and musculoskeletal complaints (joint pain, stiffness or muscle pain). These subjects had no active medical or psychiatric conditions, immunomodulating medications or alcohol/substance abuse.
Morning, non-fasting blood samples were collected, prior to the collection of clinical or and psychometric data. The blood was collected into ethylenediaminetetraacetic acid and all of the samples for this study were delivered to University of Miami clinical immunology laboratory within 2 hours. The laboratory received and assayed the samples in a blinded fashion. Plasma was separated from cells within 2 hours of collection, aliquoted into cryovials and stored at - 80°C until assayed. The length of time of storage at -80°C varied from 6 months to 5 years for the samples in this study. Samples were thawed only one time.
Assay of NPY
Plasma NPY was measured by direct assay without extraction using a competitive radioimmunoassay (RIA) from ALPCO Diagnostics (Salem, NH). The antiserum was raised against synthetic NPY conjugated to bovine thyroglobulin and cross-reacted less than 2.0% with human peptide YY. The NPY in standards and samples competed with 125I-labeled NPY in binding to the antibody. 125I-NPY bound in reverse proportion to the concentration of NPY in standards and samples. Antibody-bound 125I-NPY was separated from the unbound fraction with a double antibody coupled to the solid phase. The radioactivity of the antibody-bound 125I-NPY was then determined. The measurable range of the assay was 9.4 - 300 pmol/L and sensitivity was 3 pmol/L. The manufacturer reported a mean value of 74 pmol/L (SD = ± 15) and a range of 36-120 pmol/L for 109 healthy controls (ages 20-60 years). The intra assay coefficient of variation (CV%) was 4.75%. The inter assay CV% was 8.4%. All samples were assayed in duplicate. All assays were done in the same laboratory. Individual runs were mixtures of samples from the 3 cohorts in the study. A set of control samples were included in each assay.
Self report measures of clinical symptoms
On a subset of 42 CFS cases in this study, perceptions of general health and well-being, severity of clinical symptoms of fatigue, stress, cognitive difficulties, psychological distress and maladaptive coping were assessed using the following self-report measures:
The Medical Outcomes Survey Short Form-36 (SF-36) assessed health-related quality of life including: limitations in social activities, emotional problems and general health .
The Perceived Stress Scale (PSS) was used as a measure of stress .
The Fatigue Severity Inventory (FSI) was designed for measuring fatigue severity. Items in the inventory are statements related to fatigue perceptions .
The COPE, a multidimensional coping inventory, was used to assess the different ways in which people respond to stress . Subscales for denial, behavioral disengagement and self-blame were used.
The Quality of Life Scale (QOL) total score measured general well-being, cognitive functioning, affective status, physical health status and social activity .
The Profile of Mood States (POMS) a measure of psychological distress consists of 65 adjectives rated on a 0-4 scale that are comprised of subscales measuring 'depression-dejection', 'tension-anxiety', 'anger-hostility', 'confusion-bewilderment', 'vigor-activity' and 'fatigue-inertia' .
The Adult Temperament Questionnaire (ATQ) is a 77-item self-report instrument used for assessment of positive and negative thoughts and is a measure of stre ss that is possibly predictive of stress-related health problems .
The Cognitive Capacity Screening Examination (CCSE) was used to quantify the general cognitive status of subjects .
The Beck Depression Inventory (BDI) is a 21-question multiple-choice self-report inventory used to measure severity of depression .
These instruments were completed by the CFS patients on the same visit as the blood draw.
This study was approved by the University of Miami Institutional Review Board. All subjects signed a written informed consent approved by the University of Miami Institutional Review Board. All consented to blood draw and to the availability of the stored samples for additional bioassays. Participants were English speaking with at least an 8th grade education to ensure they were able to comprehend the informed consent as well as read and complete the questionnaires.
The Mann-Whitney U test was used to determine the magnitudes of between-group (case-control) differences. Pearson correlations were calculated for the psychosocial measures of disease severity and plasma NPY in 42 CFS cases. Values of p < 0.05 were considered statistically significant. The diagnostic accuracy of NPY was assessed in terms of true positive (sensitivity) versus true negative (1-specificity) using nonparametric receiver operating characteristics (ROC) analyses  available in the Statistical Package for Social Sciences (SPSS) software for Windows (SPSS Inc, Chicago, IL). The nonparametric ROC plot uses all of the data, makes no parametric assumptions and provides unbiased estimates of sensitivity and specificity, indicating the ability of a test to discriminate between two alternate states of health, in this case, CFS cases and healthy controls and CFS cases and GWI cases. The calculation of the area under the curve (AUC) provided a convenient way to determine the ability of the NPY assay to distinguish these groups. An AUC = 0.5 indicates that the test shows no difference between the two groups while AUC = 1.0 is found if the test gives a perfect separation between groups.
Area Under the Curve (AUC): NPY in Plasma Comparing CFS and HC
p < .000
Area Under the Curve (AUC): NPY in Plasma Comparing CFS and GWI
p < .003
Pearson Correlations (with p < 0.1) of Measurements Reflective of Symptom Severity and Plasma Neuropeptide Y in CFS cases
BECK Depression Inventory
FSI Disruption Rating
POMS Anger/Hostility Subscale
POMS Confusion Subscale
POMS Depression/Dejection Subscale
POMS Friendly Subscale
POMS Vigor Subscale
Cope: Behavioral Disengagement
Cope: Self Blame
ATQ Negative Self-Talk Score
ATQ Positive Self-Talk Score
Perceived Stress Scale Total Score
Quality of Life Total Score
SF-36 General Health
SF-36 Emotional Well-Being
SF-36 Social Functioning
CCSE-R Total Score
Description of CFS Cases in Table 3
Time since onset
Time since onset of
Sudden onset of
NPY(mean pmol/L +/- SD)
of symptoms (range)
symptoms (mean +/- SD)
97.4 +/- 31.2
23 - 60 years
1 - 38 years
12 +/- 8 years
In this study, we found that the stress hormone, NPY, was statistically elevated in plasma from CFS cases compared to healthy controls - and to a group of patients with another fatiguing, multi-symptom illness, GWI. This later finding was unexpected. However, it might be explained by gender distribution, which was very different between CFS and GWI. ROC analysis indicated that plasma NPY has promise as a biomarker for distinguishing CFS both from healthy controls and .from related fatiguing illnesses. Our finding that NPY positively correlated with perceived stress, anger, depression, negative thoughts and maladaptive coping in patients with CFS suggests that NPY will be useful in defining subsets of patients for clinical trials and as a measure of therapeutic effects.
Abnormalities of the stress response are potential triggers or mediators of CFS symptoms . Acute stress induces a fight-and-flight response that prepares the organism for coping with environmental challenge . Sympathoadrenal activation during the stress response results in increased release of epinephrine (E) and norepinephrine (NE) from the adrenal medulla, increased NE and NPY release from the sympathetic nerve endings and changes in blood flow to a variety of organs . Activation of the hypothalamic-pituitary-adrenal (HPA) axis results in increased secretion of glucocorticoids from the adrenal cortex .
Glucocorticoids regulate immune cell reactions to the stressor. In the brain, stress responsive neurotransmitter systems, in interaction with glucocorticoids, modulate affect, cognition and anxiety, and suppress behaviors that are inadequate for the situation, such as eating and reproduction. Increased noradrenergic activity in the brainstem increases vigilance and alertness and promotes memory for threatening stimuli . These acute stress responses represent regulatory mechanisms that are critical to survival and adaptation of the species. Dysfunction in the regulatory capacity or interplay of these systems, as a potential consequence of dispositional risk or physical, chemical or emotional challenges, might plausibly exacerbate symptoms of CFS.
Immune activation and inflammation are postulated to be principle components in the pathophysiology of CFS [19, 20, 51]. Inflammatory responses are controlled by the HPA axis network that involves corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH) and cortisol. Normally cortisol induces a down-regulation of inflammation. However, this mechanism is disrupted in the typically hypocortisolic CFS patient . Broderick and colleagues propose that this disruption results not only from the possible failure of individual neuro-immune components but also involves a spontaneous restructuring of the control network . Van Houdenhove and co-workers have formulated the hypothesis that the HPA axis hypofunction in CFS reflects a fundamental and persistent dysregulation of the neurobiological stress system . Dysautonomic conditions (e.g., neurally mediated hypotension or orthostatic intolerance) have been reported in CFS patients as well as the related syndrome, GWI [54, 55].
A recent study from our group demonstrated reduced stroke volume and cardiac output in more severely afflicted CFS patients . Although we did not measure cortisol in the present study, we and others reported that moderate hypocortisolism occurs in CFS, and that it is of clinical relevance [57, 58]. For example, CFS cases with low cortisol have a poorer response of CFS cases to cognitive behavioral stress management . Of interest is the finding of Kempna, et al. , that NPY inhibits the production of cortisol in human adrenal H295R cells via the Y1 receptor. Antonijevic and colleagues showed that administration of NPY reduced cortisol secretion during night hours in healthy subjects . In contrast, a series of experiments by Morgan, et al. demonstrated that acute, uncontrollable psychological stress elevated plasma NPY as well as plasma cortisol in healthy subjects [61, 62].
Recently, our group reported that soluble as well as cell surface associated dipeptidyl peptidase IV (DPPIV) is decreased in CFS cases relative to controls . NPY's biologic effects require interaction with its receptors. Native NPY 1-36 in the periphery is a major mediator of stress, responsible for prolonged vasoconstriction via Y1 receptors . By cleaving the N-terminal Tyr-Pro dipeptide from NPY, DPPIV generates the Y2/Y5 receptor agonist NPY 3-36, that loses its affinity for the Y1 receptor and is angiogenic and inhibitory of NE release [30, 63]. The low DPPIV observed in CFS coupled with high NPY would favor the Y1 receptor agonist form of NPY.
Another consideration of interest regarding NPY and CFS is the possibility of chronic viral infection in some patients. Du, et al , recently described increased NPY expression in the central nervous system (CNS) of mice following infection with a neurovirulent polytropic retrovirus. This virus infects macrophages and microglial cells resulting in production of proinflammatory cytokines , including interleukin 1 alpha (IL-1α), IL-β, and Il-6 known to be elevated in CFS . Viral triggers such as EBV and HHV6 have long been suspected of involvement in the onset and persistence of CFS [3, 5, 6]. Evidence of xenotropic murine leukemia virus - related virus (XMRV) in peripheral blood mononuclear cells (PBMCs) in the majority of CFS cases, but not controls, supported the viral infection hypothesis . This report by Lombardi, et al was followed by 4 subsequent reports of failure to detect any murine leukemia virus (MLV)-related virus gene sequences in blood from CFS patients [12, 14, 66, 67] and one report of MLV-like virus gag gene sequences, but not XMRV, in 86.5% CFS cases compared with only 6.8% of healthy volunteer blood donors .
An obvious limitation of this study is that the samples represent a single point in time. We are presently conducting longitudinal studies. As Broderick and colleagues have pointed out, biomarkers measured in human subjects tend to be highly variable. These indicators are parts of a complex and integrated system and their inter-dependency must be addressed. The effect of medications such as cholesterol lowering, pain or anti-depression on plasma NPY is not known. However, cholesterol-lowering drugs are not well tolerated in CFS patients. Patients on opioid pain medications were excluded from the study. The effect storage of plasma for up to 5 years at -80°C on RIA detectible NPY is not known.
This study is the first in the CFS literature to report that plasma NPY is significantly elevated over healthy controls and also over a comparision group, patients with GWI. The elevation of NPY in CFS cases is associated with severity of stress, negative mood and clinical symptoms. The pattern, in some CFS cases, of high NPY noted here, along with previously observed low DPPIV and hypocortisolism [20, 57, 58] supports the hypothesis of HPA axis dysregulation in CFS. Duration of this illness typically exceeds 10 years. Persistence is likely to involve complex interaction of immune, autonomic and neuroendocrine regulation and remains poorly understood. Investigation of CFS biology has focused on the detailed characterization of individual neuroendocrine and immune components taken in isolation. Current CFS treatments are directed at reducing symptom severity but no cure exists for this condition. In a review of CFS, published in Lancet, Prins, et al. stated: "Techniques such as bioimaging and proteomic strategies, and perhaps a systems biology approach, should be applied to try to elucidate such complicated interactions". It is clear that further understanding of disease mechanisms and development of effective treatments will require more than a list of the abundance of gene products, proteins or cells. These various cellular and molecular components are highly inter-dependent. Our research group has undertaken a systems biology approach . We are presently incorporating data from plasma NPY measurements, along with other plasma and cellular biomarkers into a network analysis.
The renewed interest in viral infections in CFS suggests further studies. It is possible that NPY is induced by such infections. As reliable assays become available it will be important to determine the relationship of plasma NPY to potential pathogens.
This work was supported by grants from the NIAAA: R21AA016635 (PI MA Fletcher); NIAID: R01AI065723 (PI MA Fletcher); CFIDS Assoc. of America: (PI N Klimas); VA merit awards (PI N Klimas); NIAID: UO1 AI459940 (PI N Klimas); NIAMS AR048932 (PI S Levis); NHLBI: RO1 HL65668 (PI B Hurwitz)
- Fukuda K, Straus SE, Hickie I, Sharpe MC, Dobbins JG, Komaroff A: The chronic fatigue syndrome: a comprehensive approach to its definition and study. International Chronic Fatigue Syndrome Study Group. Ann Intern Med. 1994, 121: 953-959.View ArticlePubMedGoogle Scholar
- Reeves WC, Lloyd A, Vernon SD, Klimas N, Jason LA, Bleijenberg G, Evengard B, White PD, Nisenbaum R, Unger ER: Identification of ambiguities in the 1994 chronic fatigue syndrome research case definition and recommendations for resolution. BMC Health Serv Res. 2003, 3: 25-10.1186/1472-6963-3-25.PubMed CentralView ArticlePubMedGoogle Scholar
- Evengård B, Jonzon E, Sandberg A, Theorell T, Lindh G: Differences between patients with chronic fatigue syndrome and with chronic fatigue at an infectious disease clinic in Stockholm, Sweden. Psychiatry Clin Neurosci. 2003, 57: 361-368.View ArticlePubMedGoogle Scholar
- Klimas NG, Morgan R, Salvado F, Fletcher MA: Immunologic abnormalities of chronic fatigue syndrome. J Clin Microbiol. 1990, 28: 1403-1410.PubMed CentralPubMedGoogle Scholar
- Kogelnik AM, Loomis K, Hoegh-Petersen M, Rosso F, Hischier C, Montoya JG: Use of valganciclovir in patients with elevated antibody titers against Human Herpesvirus-6 (HHV-6) and Epstein-Barr Virus (EBV) who were experiencing central nervous system dysfunction including long-standing fatigue. J Clin Virol. 2006, 37 (Suppl 1): S33-38. 10.1016/S1386-6532(06)70009-9.View ArticlePubMedGoogle Scholar
- Glaser R, Padgett DA, Litsky ML, Baiocchi RA, Yang EV, Chen M, Yeh PE, Klimas NG, Marshall GD, Whiteside T, Herberman R, Kiecolt-Glaser J, Williams MV: Stress-associated changes in the steady-state expression of latent Epstein-Barr virus: implications for chronic fatigue syndrome and cancer. Brain Behav Immun. 2005, 19: 91-103. 10.1016/j.bbi.2004.09.001.View ArticlePubMedGoogle Scholar
- Ledina D, Bradarić N, Milas I, Ivić I, Brncić N, Kuzmicić N: Chronic fatigue syndrome after Q fever. Med Sci Monit. 2007, 13: CS88-92.PubMedGoogle Scholar
- DeFreitas E, Hilliard B, Cheney PR, Bell DS, Kiggundu E, Sankey D, Wroblewska Z, Palladino M, Woodward JP, Koprowski H: Retroviral sequences related to human T-lymphotropic virus type II in patients with chronic fatigue immune dysfunction syndrome. Proc Natl Acad Sci USA. 1991, 88: 2922-6. 10.1073/pnas.88.7.2922.PubMed CentralView ArticlePubMedGoogle Scholar
- Khan AS, Heneine WM, Chapman LE, Gary HE, Woods TC, Folks TM, Schonberger LB: Assessment of a retrovirus sequence and other possible risk factors for the chronic fatigue syndrome in adults. Ann Intern Med. 1993, 118: 241-5.View ArticlePubMedGoogle Scholar
- Holmes MJ, Diack DS, Easingwood RA, Cross JP, Carlisle B: Electron microscopic immunocytological profiles in chronic fatigue syndrome. J Psychiatr Res. 1997, 31: 115-2. 10.1016/S0022-3956(96)00048-9.View ArticlePubMedGoogle Scholar
- Lombardi VC, Ruscetti FW, Das Gupta J, Pfost MA, Hagen KS, Peterson DL, Ruscetti SK, Bagni RK, Petrow-Sadowski C, Gold B, Dean M, Silverman RH, Mikovits JA: Detection of infectious retrovirus, XMRV, in blood cells of patients with chronic fatigue syndrome. Science. 2009, 326: 585-589. 10.1126/science.1179052.View ArticlePubMedGoogle Scholar
- Erlwein O, Kaye S, McClure MO, Weber J, Wills G, Collier D, Wessely S, Cleare A: Failure to Detect the Novel Retrovirus XMRV in Chronic Fatigue Syndrome. PLoS One. 2010, 5 (1): e8519-10.1371/journal.pone.0008519.PubMed CentralView ArticlePubMedGoogle Scholar
- Lo SC, Pripuzova N, Li B, Komaroff AL, Hung GC, Wang R, Alter HJ: Detection of MLV-related virus gene sequences in blood of patients with chronic fatigue syndrome and healthy blood donors. Proc Natl Acad Sci USA. 2010, 107: 15874-9. 10.1073/pnas.1006901107.PubMed CentralView ArticlePubMedGoogle Scholar
- Switzer WM, Jia H, Hohn O, Zheng H, Tang S, Shankar A, Bannert N, Simmons G, Hendry RM, Falkenberg VR, Reeves WC, Heneine W: Absence of evidence of x enotropic murine leukemia virus-related virus infection in persons with chronic fatigue syndrome and healthy controls in the United States. Retrovirology. 2010, 7: 57-10.1186/1742-4690-7-57.PubMed CentralView ArticlePubMedGoogle Scholar
- Jason LA, Richman JA, Rademaker AW, Jordan KM, Plioplys AV, Taylor RR, McCready W, Huang CF, Plioplys S: A community-based study of chronic fatigue syndrome. Arch Intern Med. 1999, 159: 2129-2137. 10.1001/archinte.159.18.2129.View ArticlePubMedGoogle Scholar
- Carlo-Stella N, Cuccia M: Demographic and clinical aspects of an Italian patient population with chronic fatigue syndrome. Reumatismo. 2009, 61: 285-9.PubMedGoogle Scholar
- Van Den Eede F, Moorkens G, Van Houdenhove B, Cosyns P, Claes SJ: Hypothalamic-pituitary-adrenal axis function in chronic fatigue syndrome. Neuropsychobiology. 2007, 55: 112-20. 10.1159/000104468.View ArticlePubMedGoogle Scholar
- Fuite J, Vernon SD, Broderick G: Neuroendocrine and immune network re-modeling in chronic fatigue syndrome: an exploratory analysis. Genomics. 2008, 92: 393-399. 10.1016/j.ygeno.2008.08.008.View ArticlePubMedGoogle Scholar
- Fletcher MA, Zeng XR, Barnes Z, Levis S, Klimas NG: Plasma cytokines in women with chronic fatigue syndrome. J Transl Med. 2009, 7: 96-10.1186/1479-5876-7-96.PubMed CentralView ArticlePubMedGoogle Scholar
- Fletcher MA, Zeng XR, Maher K, Levis S, Hurwitz B, Antoni M, Broderick G, Klimas NG: Biomarkers in chronic fatigue syndrome: Evaluation of natural killer cell function and dipeptyl peptidase IV. PLoS ONE. 2010, 5 (5): e10817-10.1371/journal.pone.0010817.PubMed CentralView ArticlePubMedGoogle Scholar
- Ben-Zvi A, Vernon SD, Broderick G: Model-based therapeutic correction of hypothalamic-pituitary-adrenal axis dysfunction. PLoS Comput Biol. 2009, 5 (1): e1000273-10.1371/journal.pcbi.1000273. Epub 2009 Jan 23PubMed CentralView ArticlePubMedGoogle Scholar
- Glaser R, Padgett DA, Litsky ML, Baiocchi RA, Yang EV, Chen M, Yeh PE, Klimas NG, Marshall GD, Whiteside T, Herberman R, Kiecolt-Glaser J, Williams MV: Stress-associated changes in the steady-state expression of latent Epstein-Barr virus: implications for chronic fatigue syndrome and cancer. Brain Behav Immun. 2005, 19: 91-103. 10.1016/j.bbi.2004.09.001.View ArticlePubMedGoogle Scholar
- Kato K, Sullivan PF, Evengård B, Pedersen NL: Permorbid predictors of chronic fatigue. Arch Gen Psychiatry. 2006, 63: 1267-1272. 10.1001/archpsyc.63.11.1267.View ArticlePubMedGoogle Scholar
- Wyller V, Eriksen HR, Malterud K: Can sustained arousal explain the Chronic Fatigue Syndrome?. Behav Brain Func. 2009, 5: 10-10.1186/1744-9081-5-10.View ArticleGoogle Scholar
- Irwin MR: Human psychoneuroimmunology: 20 years of discovery. Brain Behav Immun. 2008, 22: 129-39. 10.1016/j.bbi.2007.07.013.View ArticlePubMedGoogle Scholar
- Karamouzis I, Karamouzis M, Vrabas IS, Christoulas K, Kyriazis N, Giannoulis E, Mandroukas K: The effects of marathon swimming on serum leptin and plasma neuropeptide Y levels. Clin Chem Lab Med. 2002, 40: 132-6. 10.1515/CCLM.2002.023.View ArticlePubMedGoogle Scholar
- Boulenger JP, Jerabek I, Jolicoeur FB, Lavallée YJ, Leduc R, Cadieux A: Elevated plasma levels of neuropeptide Y in patients with panic disorder. Am J Psychiatry. 1996, 153: 114-6.View ArticlePubMedGoogle Scholar
- Kellogg DL: In vivo mechanisms of cutaneous vasodilation and vasoconstriction in humans during thermoregulatory challenges. J Appl Physiol. 2006, 100: 1709-18. 10.1152/japplphysiol.01071.2005.View ArticlePubMedGoogle Scholar
- Kuo L, Zukowska Z: Stress, NPY and vascular remodeling: Implications for stress-related diseases. Peptides. 2007, 28: 435-440. 10.1016/j.peptides.2006.08.035.PubMed CentralView ArticlePubMedGoogle Scholar
- Kuo LE, Kitlinska JB, Tilan JU, Li L, Baker SB, Johnson MD, Lee EW, Burnett MS, Fricke ST, Kvetnansky R, Herzog H, Zukowska Z: Neuropeptide Y acts directly in the periphery on fat tissue and mediates stress-induced obesity and metabolic syndrome. Nat Med. 2007, 13: 803-11. 10.1038/nm1611.View ArticlePubMedGoogle Scholar
- Smiaowska M, Wieroska JM, Domin H, Zieba B: The effect of intrahippocampal injection of group II and III metobotropic glutamate receptor agonists on anxiety; the role of neuropeptide Y. Neuropsychopharmacology. 2007, 32: 1242-50. 10.1038/sj.npp.1301258.View ArticleGoogle Scholar
- Zhou Z, Zhu G, Hariri AR, Enoch MA, Scott D, Sinha R, Virkkunen M, Mash DC, Lipsky RH, Hu XZ, Hodgkinson CA, Xu K, Buzas B, Yuan Q, Shen PH, Ferrell RE, Manuck SB, Brown SM, Hauger RL, Stohler CS, Zubieta JK, Goldman D: Genetic variation in human NPY expression affects stress response and emotion. Nature. 2008, 452: 997-1001. 10.1038/nature06858.PubMed CentralView ArticlePubMedGoogle Scholar
- Härle P, Straub RH, Wiest R, Mayer A, Schölmerich J, Atzeni F, Carrabba M, Cutolo M, Sarzi-Puttini P: Increase of sympathetic outflow measured by neuropeptide Y and decrease of the hypothalamic-pituitary-adrenal axis tone in patients with systemic lupus erythematosus and rheumatoid arthritis: another example of uncoupling of response systems. Ann Rheum Dis. 2006, 65: 51-6.PubMed CentralView ArticlePubMedGoogle Scholar
- Di Franco M, Iannuccelli C, Alessandri C, Paradiso M, Riccieri V, Libri F, Valesini G: Autonomic dysfunction and neuropeptide Y in fibromyalgia. Clin Exp Rheumatol. 2009, 27: S75-8.PubMedGoogle Scholar
- Crofford LJ, Pillemer SR, Kalogeras KT, Cash JM, Michelson D, Kling MA, Sternberg EM, Gold PW, Chrousos GP, Wilder RL: Hypothalamic-pituitary-adrenal axis perturbations in patients with fibromyalgia. Arthritis Rheum. 1994, 37: 1583-92. 10.1002/art.1780371105.View ArticlePubMedGoogle Scholar
- Fukuda K, Nisenbaum R, Stewart G, Thompson WW, Robin L, Washko RM, Noah DL, Barrett DH, Randall B, Herwaldt BL, Mawle AC, Reeves WC: Chronic multisymptom illness affecting Air Force veterans of the Gulf War. JAMA. 1998, 280: 981-988. 10.1001/jama.280.11.981.View ArticlePubMedGoogle Scholar
- Ware JE, Sherbourne CD: The MOS 36-Item Short Form Health Survey (SF-36), I: conceptual framework and item selection. Med Care. 1992, 30: 473-483. 10.1097/00005650-199206000-00002.View ArticlePubMedGoogle Scholar
- Cohen S, Kamarck T, Mermelstein R: A global measure of perceived stress. J Health Soc Behav. 1983, 24: 385-396. 10.2307/2136404.View ArticlePubMedGoogle Scholar
- Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD: The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol. 1989, 46: 1121-1123.View ArticlePubMedGoogle Scholar
- Carver CS, Scheier MF, Weintraub JK: Assessing coping strategies: A theoretically based approach. J Pers Social Psychol. 1989, 56: 267-283. 10.1037/0022-35188.8.131.527.View ArticleGoogle Scholar
- Croog SH, Levine S, Testa MA, Brown B, Bulpitt CJ, Jenkins CD, Klerman GL, Williams GH: The effects of antihypertensive therapy on quality of life. N Eng J Med. 1986, 314: 1657-1664. 10.1056/NEJM198606263142602.View ArticleGoogle Scholar
- McNair DM, Lorr M, Droppleman LF: Manual for the Profile of Mood States. 1971, San Diego, CA: Educational and Industrial Testing ServiceGoogle Scholar
- Clements AD, Bailey BA: The relationship between temperament and anxiety: phase I in the development of a risk screening model to predict stress-related health problems. J Health Psychol. 2010, 15: 515-25. 10.1177/1359105309355340.View ArticlePubMedGoogle Scholar
- Anderson DA, Burton DB, Parker JD, Godding PR: A confirmatory factor analysis of the cognitive capacity screening examination in a clinical sample. Int J Neurosci. 2001, 111: 221-33. 10.3109/00207450108994233.View ArticlePubMedGoogle Scholar
- Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J: An inventory for measuring depression. Archs Gen Psych. 1961, 4: 551-571.Google Scholar
- Zweig MH, Campbell G: Receiver-Operating Characteristic (ROC) plots: A fundamental evaluation tool. Clin Med Clin Chem. 1993, 39: 561-577.Google Scholar
- Cannon WB: Bodily changes in pain, hunger, fear, and rage. 1929, New York: Appleton-Century-CroftsGoogle Scholar
- Morris MJ, Russell AE, Kapoor V, Cain MD, Elliott JM, West MJ, Wing LM, Chalmers JP: Increases in plasma neuropeptide Y concentrations during sympathetic activation in man. J Auton Nerv Syst. 1986, 17: 143-9. 10.1016/0165-1838(86)90089-5.View ArticlePubMedGoogle Scholar
- Ginsberg AB, Campeau S, Day HE, Spencer RL: Acute glucocorticoid pretreatment suppresses stress-induced hypothalamic-pituitary-adrenal axis hormone secretion and expression of corticotropin-releasing hormone hnRNA but does not affect c-fos mRNA or fos protein expression in the paraventricular nucleus of the hypothalamus. J Neuroendocrinol. 2003, 15: 1075-83. 10.1046/j.1365-2826.2003.01100.x.View ArticlePubMedGoogle Scholar
- Smith LA, Tel BC, Jackson MJ, Hansard MJ, Braceras R, Bonhomme C, Chezaubernard C, Del Signore S, Rose S, Jenner P: Repeated administration of piribedil induces less dyskinesia than L-dopa in MPTP-treated common marmosets: a behavioural and biochemical investigation. Mov Disord. 2002, 17: 887-901. 10.1002/mds.10200.View ArticlePubMedGoogle Scholar
- Aspler AL, Bolshin C, Vernon SD, Broderick G: Evidence of inflammatory immune signaling in chronic fatigue syndrome: A pilot study of gene expression in peripheral blood. Behav Brain Funct. 2008, 4: 44-10.1186/1744-9081-4-44.PubMed CentralView ArticlePubMedGoogle Scholar
- Gupta S, Aslakson E, Gurbaxani BM, Vernon SD: Inclusion of the glucocorticoid receptor in a hypothalamic pituitary adrenal axis model reveals bistability. Theor Biol Med Model. 2007, 4: 8-10.1186/1742-4682-4-8.PubMed CentralView ArticlePubMedGoogle Scholar
- Van Houdenhove B, Van Den Eede F, Luyten P: Does hypothalamic -pituitary-adrenal axis hypofunction in chronic fatigue syndrome reflect a 'crash' in the stress system?. Med Hypotheses. 2009, 72: 701-5. 10.1016/j.mehy.2008.11.044.View ArticlePubMedGoogle Scholar
- Demitrack MA, Crofford LJ: Evidence for and pathophysiologic implications of hypothalamic-pituitary-adrenal axis dysregulation in fibromyalgia and chronic fatigue syndrome. Ann N Y Acad Sci. 1998, 840: 684-97. 10.1111/j.1749-6632.1998.tb09607.x. ReviewView ArticlePubMedGoogle Scholar
- Davis SD, Kator SF, Wonnett JA, Pappas BL, Sall JL: Neurally mediated hypotension in fatigued Gulf War veterans: a preliminary report. Am J Med Sci. 2000, 319: 89-95. 10.1097/00000441-200002000-00004.View ArticlePubMedGoogle Scholar
- Hurwitz BE, Coryell VT, Parker M, Martin P, Laperriere A, Klimas NG, Sfakianakis GN, Bilsker MS: Chronic fatigue syndrome: illness severity, sedentary lifestyle, blood volume and evidence of diminished cardiac function. Clin Sci (Lond). 2009, 118: 125-35. 10.1042/CS20090055.View ArticleGoogle Scholar
- Torres-Harding S, Sorenson M, Jason L, Maher K, Fletcher MA, Reynolds N, Brown M: The associations between basal salivary cortisol and illness symptomatology in chronic fatigue syndrome. J Appl Biobehav Res. 2008, 13: 157-180. 10.1111/j.1751-9861.2008.00033.x.PubMed CentralView ArticlePubMedGoogle Scholar
- Roberts AD, Charler ML, Papadopoulos A, Wessely S, Chalder T: Does hypocortisolism predict a poor response to cognitive behavioural therapy in chronic fatigue syndrome?. Psychol Med. 2010, 40: 515-22. 10.1017/S0033291709990390.View ArticlePubMedGoogle Scholar
- Kempná P, Körner M, Waser B, Hofer G, Nuoffer J-M, Reubi J, Flück CE: Neuropeptide Y modulates steroid production of human adrenal H295R cells through Y1 receptors. Mol Cell Endocrinol. 2010, 314: 101-109.View ArticlePubMedGoogle Scholar
- Antonijevic IA, Murck H, Bohlhalter S, Frieboes RM, Holsboer F, Steiger A: Neuropeptide Y promotes sleep and inhibits ACTH and cortisol release in young men. Neuropharmacology. 2000, 8: 391474-81.Google Scholar
- Morgan C, Wang S, Rasmusson A, Hazlett G, Anderson G, Charney D: Relationship among plasma cortisol, catecholamines, neuropeptide Y, and human performance during exposure to uncontrollable stress. Psychosomatic Med. 2001, 63: 412-422.View ArticleGoogle Scholar
- Morgan CA, Rasmusson A, Wang S, Hoyt G, Hauger R, Hazlett G: Neuropeptide-Y, cortisol, and subjective distress in humans exposed to acute stress: Replication and extension of previous report. Biol Psych. 2002, 52: 136-142. 10.1016/S0006-3223(02)01319-7.View ArticleGoogle Scholar
- Zukowska Z, Pons J, Lee EW, Li L: Neuropeptide Y: a new mediator linking sympathetic nerves, blood vessels and immune system?. Can J Physiol Pharmacol. 2003, 81: 89-94. 10.1139/y03-006.View ArticlePubMedGoogle Scholar
- Du M, Butchi N, Woods T, Morgan T, Peterson KE: Neuropeptide Y has a protective role during murine retrovirus-induced neurological disease. J Virol. 2010, 84: 11076-11088. 10.1128/JVI.01022-10. Immunol Res. 2009, 43(1-3):149-59PubMed CentralView ArticlePubMedGoogle Scholar
- Peterson KE, Du M: Innate immunity in the pathogenesis of polytropic retrovirus infection in the central nervous system. Immunol Res. 2009, 43: 149-59. 10.1007/s12026-008-8060-y. ReviewView ArticlePubMedGoogle Scholar
- Groom HC, Boucherit VC, Makinson K, Randal E, Baptista S, Hagan S, Gow JW, Mattes FM, Breuer J, Kerr JR, Stoye JP, Bishop KN: Absence of xenotropic murine leukaemia virus-related virus in UK patients with chronic fatigue syndrome. Retrovirology. 2010, 15: 7-10.Google Scholar
- van Kuppeveld FJ, de Jong AS, Lanke KH, Verhaegh GW, Melchers WJ, Swanink CM, Bleijenberg G, Netea MG, Galama JM, van der Meer JW: Prevalence of xenotropic murine leukaemia virus-related virus in patients with chronic fatigue syndrome in the Netherlands: retrospective analysis of samples from an established cohort. BMJ. 2010, 340: c1018-10.1136/bmj.c1018.PubMed CentralView ArticlePubMedGoogle Scholar
- Prins J, van der Meer J, Bleijenberg G: Chronic Fatigue Syndrome. Lancet. 2006, 367 (9507): 346-55. 10.1016/S0140-6736(06)68073-2.View ArticlePubMedGoogle Scholar
- Broderick G, Fuite J, Kreitz A, Vernon SD, Klimas N, Fletcher MA: A formal analysis of cytokine networks in Chronic Fatigue Syndrome. Brain Behav Immun. 2010, 24: 1209-17. 10.1016/j.bbi.2010.04.012.PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.