A Chronic Fatigue Syndrome - related proteome in human cerebrospinal fluid

James N Baraniuk, Begona Casado, Hilda Maibach, Daniel J Clauw, Lewis K Pannell, Sonja Hess S, James N Baraniuk, Begona Casado, Hilda Maibach, Daniel J Clauw, Lewis K Pannell, Sonja Hess S

Abstract

Background: Chronic Fatigue Syndrome (CFS), Persian Gulf War Illness (PGI), and fibromyalgia are overlapping symptom complexes without objective markers or known pathophysiology. Neurological dysfunction is common. We assessed cerebrospinal fluid to find proteins that were differentially expressed in this CFS-spectrum of illnesses compared to control subjects.

Methods: Cerebrospinal fluid specimens from 10 CFS, 10 PGI, and 10 control subjects (50 mul/subject) were pooled into one sample per group (cohort 1). Cohort 2 of 12 control and 9 CFS subjects had their fluids (200 mul/subject) assessed individually. After trypsin digestion, peptides were analyzed by capillary chromatography, quadrupole-time-of-flight mass spectrometry, peptide sequencing, bioinformatic protein identification, and statistical analysis.

Results: Pooled CFS and PGI samples shared 20 proteins that were not detectable in the pooled control sample (cohort 1 CFS-related proteome). Multilogistic regression analysis (GLM) of cohort 2 detected 10 proteins that were shared by CFS individuals and the cohort 1 CFS-related proteome, but were not detected in control samples. Detection of >or=1 of a select set of 5 CFS-related proteins predicted CFS status with 80% concordance (logistic model). The proteins were alpha-1-macroglobulin, amyloid precursor-like protein 1, keratin 16, orosomucoid 2 and pigment epithelium-derived factor. Overall, 62 of 115 proteins were newly described.

Conclusion: This pilot study detected an identical set of central nervous system, innate immune and amyloidogenic proteins in cerebrospinal fluids from two independent cohorts of subjects with overlapping CFS, PGI and fibromyalgia. Although syndrome names and definitions were different, the proteome and presumed pathological mechanism(s) may be shared.

Figures

Figure 1
Figure 1
Venn diagram of co-morbid, overlapping syndromes. The numbers of subjects satisfying the case designation criteria for CFS, PGI and FM in the Cohort 1 pooled CFS and pooled PGI groups, and Cohort 2 CFS group are shown. Each group had a highly unique combination of these syndromes.
Figure 2
Figure 2
SF-36 scores for each group (mean ± 95% C.I.). Physical Function (PF), Social Function (SF), Role Physical (RP), Role Emotional (RE), Mental Health (MH), Vitality (Vit), Pain, General Health Perception (GH-P) and General Health Change (GHΔ) were identical for the set of pooled (Cohort 1; yellow bars) and individual (Cohort 2; beige bars) HC subjects. These domains were also identical for the set of pooled CFS (light blue bars), pooled PGI (light purple bars) and CFS individuals (teal bars). Significant differences between these datasets were found for all indicators except RE, MH and GPΔ (p

Figure 3

Multidimensional fatigue inventory scores (mean…

Figure 3

Multidimensional fatigue inventory scores (mean ± 95% C.I.). The healthy control (HC) pooled…

Figure 3
Multidimensional fatigue inventory scores (mean ± 95% C.I.). The healthy control (HC) pooled group (yellow bars) and individuals (beige bars) had lower scores for all categories than the pooled CFS (light blue bars), pooled PGI (light purple bars), and CFS individuals (teal bars) (p

Figure 4

Ceruloplasmin (ferroxidase II) peptide mass…

Figure 4

Ceruloplasmin (ferroxidase II) peptide mass spectrogram. This sequencing data was shown for the…

Figure 4
Ceruloplasmin (ferroxidase II) peptide mass spectrogram. This sequencing data was shown for the time-of-flight mass spectrometer (ToF, 2nd MS). The relative signal intensities for each fragment of the ceruloplasmin peptide (y-axis) were plotted against mass/charge (m/z; x-axis). The peptide, GVYSSDVFDIFPGTYQTLEMFPR, was sequenced from the y-series (right to left; N-terminal to C-terminal). It had m/z = 890.41 and z = 3+, for a mass of 2671.23.

Figure 5

The correlation between the frequencies…

Figure 5

The correlation between the frequencies of protein detection in the CFS (black triangles)…

Figure 5
The correlation between the frequencies of protein detection in the CFS (black triangles) and HC (open circles) groups were shown. Nineteen proteins were detected significantly more frequently in the CFS than HC group (p ≤ 0.05 by ANOVA). These CFS – associated proteins were shifted away from the line of identity. This line demonstrated the high correlation of detection frequencies between the CFS and HC samples for the remaining 98 proteins (R2 = 0.70).

Figure 6

Distributions of proteins in healthy…

Figure 6

Distributions of proteins in healthy control (HC) and CFS samples. The frequency of…

Figure 6
Distributions of proteins in healthy control (HC) and CFS samples. The frequency of detection for each protein was determined for the HC (left axis) and CFS (right axis) groups. These axes were divided into "bins" of 0% (absent), 1 to 15%, 16 to 30%, 31 to 45%, 46 to 60%, 61 to 75%, and 76 to 100%. The vertical axis was the percentage of all proteins detected within each intersection of the CFS vs. HC matrix. Most of the proteins were detected in less than 30% of each group. Proteins detected in both groups with roughly equal frequencies of detection were near the line of identity (white bars). The grid region corresponding to the CFS – associated proteome was highlighted by black bars.

Figure 7

Isoelectric point (pI) vs. logarithm…

Figure 7

Isoelectric point (pI) vs. logarithm of molecular weight. The frequencies of detection for…

Figure 7
Isoelectric point (pI) vs. logarithm of molecular weight. The frequencies of detection for proteins in the healthy control (HC) group were graded as 1 to 25% (small circles), 26 to 50% and 51 to 100% (large circles). Proteins detected in the CFS group (open squares) were similarly graded. The CFS – associated proteins detected in 26 to 50% and 51 to 100% of samples were depicted as smaller and larger grey squares, respectively.
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References
    1. Reeves WC, Lloyd A, Vernon SD, Klimas N, Jason LA, Bleijenberg G, Evengard B, White PD, Nisenbaum R, Unger ER, International Chronic Fatigue Syndrome Study Group Identification of ambiguities in the 1994 chronic fatigue syndrome research case definition and recommendations for resolution. BMC Health Serv Res. 2003;3:25. doi: 10.1186/1472-6963-3-25. - DOI - PMC - PubMed
    1. Fukuda K, Straus SE, Hickei I, Sharpe MC, Dobbins JC, Komaroff A. The chronic fatigue syndrome: a comprehensive approach to its definition and study. Ann Intern Med. 1994;121:953–959. - PubMed
    1. Clauw DJ, Engel CC, Jr, Aronowitz R, Jones E, Kipen HM, Kroenke K, Ratzan S, Sharpe M, Wessely S. Unexplained symptoms after terrorism and war: an expert consensus statement. J Occup Environ Med. 2003;45:1040–1048. - PubMed
    1. Fukuda K, Nisenbaum R, Stewart G, Thompson WT, 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. 1999;280:981–988. doi: 10.1001/jama.280.11.981. - DOI - PubMed
    1. Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg DL, Tugwell P, Campbell SM, Abeles M, Clark P. The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Report of the Multicenter Criteria Committee. Arthritis Rheum. 1990;33:160–72. - PubMed
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Figure 3
Figure 3
Multidimensional fatigue inventory scores (mean ± 95% C.I.). The healthy control (HC) pooled group (yellow bars) and individuals (beige bars) had lower scores for all categories than the pooled CFS (light blue bars), pooled PGI (light purple bars), and CFS individuals (teal bars) (p

Figure 4

Ceruloplasmin (ferroxidase II) peptide mass…

Figure 4

Ceruloplasmin (ferroxidase II) peptide mass spectrogram. This sequencing data was shown for the…

Figure 4
Ceruloplasmin (ferroxidase II) peptide mass spectrogram. This sequencing data was shown for the time-of-flight mass spectrometer (ToF, 2nd MS). The relative signal intensities for each fragment of the ceruloplasmin peptide (y-axis) were plotted against mass/charge (m/z; x-axis). The peptide, GVYSSDVFDIFPGTYQTLEMFPR, was sequenced from the y-series (right to left; N-terminal to C-terminal). It had m/z = 890.41 and z = 3+, for a mass of 2671.23.

Figure 5

The correlation between the frequencies…

Figure 5

The correlation between the frequencies of protein detection in the CFS (black triangles)…

Figure 5
The correlation between the frequencies of protein detection in the CFS (black triangles) and HC (open circles) groups were shown. Nineteen proteins were detected significantly more frequently in the CFS than HC group (p ≤ 0.05 by ANOVA). These CFS – associated proteins were shifted away from the line of identity. This line demonstrated the high correlation of detection frequencies between the CFS and HC samples for the remaining 98 proteins (R2 = 0.70).

Figure 6

Distributions of proteins in healthy…

Figure 6

Distributions of proteins in healthy control (HC) and CFS samples. The frequency of…

Figure 6
Distributions of proteins in healthy control (HC) and CFS samples. The frequency of detection for each protein was determined for the HC (left axis) and CFS (right axis) groups. These axes were divided into "bins" of 0% (absent), 1 to 15%, 16 to 30%, 31 to 45%, 46 to 60%, 61 to 75%, and 76 to 100%. The vertical axis was the percentage of all proteins detected within each intersection of the CFS vs. HC matrix. Most of the proteins were detected in less than 30% of each group. Proteins detected in both groups with roughly equal frequencies of detection were near the line of identity (white bars). The grid region corresponding to the CFS – associated proteome was highlighted by black bars.

Figure 7

Isoelectric point (pI) vs. logarithm…

Figure 7

Isoelectric point (pI) vs. logarithm of molecular weight. The frequencies of detection for…

Figure 7
Isoelectric point (pI) vs. logarithm of molecular weight. The frequencies of detection for proteins in the healthy control (HC) group were graded as 1 to 25% (small circles), 26 to 50% and 51 to 100% (large circles). Proteins detected in the CFS group (open squares) were similarly graded. The CFS – associated proteins detected in 26 to 50% and 51 to 100% of samples were depicted as smaller and larger grey squares, respectively.
All figures (7)
Figure 4
Figure 4
Ceruloplasmin (ferroxidase II) peptide mass spectrogram. This sequencing data was shown for the time-of-flight mass spectrometer (ToF, 2nd MS). The relative signal intensities for each fragment of the ceruloplasmin peptide (y-axis) were plotted against mass/charge (m/z; x-axis). The peptide, GVYSSDVFDIFPGTYQTLEMFPR, was sequenced from the y-series (right to left; N-terminal to C-terminal). It had m/z = 890.41 and z = 3+, for a mass of 2671.23.
Figure 5
Figure 5
The correlation between the frequencies of protein detection in the CFS (black triangles) and HC (open circles) groups were shown. Nineteen proteins were detected significantly more frequently in the CFS than HC group (p ≤ 0.05 by ANOVA). These CFS – associated proteins were shifted away from the line of identity. This line demonstrated the high correlation of detection frequencies between the CFS and HC samples for the remaining 98 proteins (R2 = 0.70).
Figure 6
Figure 6
Distributions of proteins in healthy control (HC) and CFS samples. The frequency of detection for each protein was determined for the HC (left axis) and CFS (right axis) groups. These axes were divided into "bins" of 0% (absent), 1 to 15%, 16 to 30%, 31 to 45%, 46 to 60%, 61 to 75%, and 76 to 100%. The vertical axis was the percentage of all proteins detected within each intersection of the CFS vs. HC matrix. Most of the proteins were detected in less than 30% of each group. Proteins detected in both groups with roughly equal frequencies of detection were near the line of identity (white bars). The grid region corresponding to the CFS – associated proteome was highlighted by black bars.
Figure 7
Figure 7
Isoelectric point (pI) vs. logarithm of molecular weight. The frequencies of detection for proteins in the healthy control (HC) group were graded as 1 to 25% (small circles), 26 to 50% and 51 to 100% (large circles). Proteins detected in the CFS group (open squares) were similarly graded. The CFS – associated proteins detected in 26 to 50% and 51 to 100% of samples were depicted as smaller and larger grey squares, respectively.

References

    1. Reeves WC, Lloyd A, Vernon SD, Klimas N, Jason LA, Bleijenberg G, Evengard B, White PD, Nisenbaum R, Unger ER, International Chronic Fatigue Syndrome Study Group Identification of ambiguities in the 1994 chronic fatigue syndrome research case definition and recommendations for resolution. BMC Health Serv Res. 2003;3:25. doi: 10.1186/1472-6963-3-25.
    1. Fukuda K, Straus SE, Hickei I, Sharpe MC, Dobbins JC, Komaroff A. The chronic fatigue syndrome: a comprehensive approach to its definition and study. Ann Intern Med. 1994;121:953–959.
    1. Clauw DJ, Engel CC, Jr, Aronowitz R, Jones E, Kipen HM, Kroenke K, Ratzan S, Sharpe M, Wessely S. Unexplained symptoms after terrorism and war: an expert consensus statement. J Occup Environ Med. 2003;45:1040–1048.
    1. Fukuda K, Nisenbaum R, Stewart G, Thompson WT, 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. 1999;280:981–988. doi: 10.1001/jama.280.11.981.
    1. Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg DL, Tugwell P, Campbell SM, Abeles M, Clark P. The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Report of the Multicenter Criteria Committee. Arthritis Rheum. 1990;33:160–72.
    1. Wolfe F. The relation between tender points and fibromyalgia symptom variables: evidence that fibromyalgia is not a discrete disorder in the clinic. Ann Rheum Dis. 1997;56:268–271.
    1. Littlejohn GO. Balanced treatments for fibromyalgia. Arthritis & Rheumatism. 2004;50:2725–2729. doi: 10.1002/art.20486.
    1. 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;840:684–697.
    1. Adam G. Visceral Perception: Understanding Internal Organs. New York. Plenum Press; 1998.
    1. Naranch K, Park Y-J, Repka-Ramirez SM, Velarde A, Clauw D, Baraniuk JN. A tender sinus does not always mean sinusitis. Otolaryngol Head Neck Surg. 2002;127:387–397. doi: 10.1067/mhn.2002.129038.
    1. Cleveland CH, Jr, Fisher RH, Brestel EP, Esinhart JD, Metzger WJ. Chronic rhinitis: an underrecognized association with fibromyalgia. Allergy Proc. 1993;13:263–267.
    1. Repka-Ramirez MS, Naranch K, Park Y-J, Velarde A, Clauw D, Baraniuk JN. IgE levels are the same in Chronic Fatigue Syndrome (CFS) and control subjects when stratified by allergy skin test results and rhinitis types. Annals Allergy Asthma Immunol. 2001;87:218–221.
    1. Baraniuk JN, Petrie KN, Le U, Tai C-F, Park Y-J, Yuta A, Ali M, Vandernbussche CJ, Nelson B. Neuropathology in rhinosinusitis. Am J Respir Crit Care Med. 2005;171:5–11. doi: 10.1164/rccm.200403-357OC.
    1. Carrette O, Demalte I, Scherl A, Yalkinoglu O, Corthals G, Burkhard P, Hochstrasser DF, Sanchez JC. A panel of cerebrospinal fluid potential biomarkers for the diagnosis of Alzheimer's disease. Proteomics. 2003;3:1486–1494. doi: 10.1002/pmic.200300470.
    1. Izumihara A, Ishihara T, Hoshii Y, Ito H. Cerebral amyloid angiopathy associated with hemorrhage: immunohistochemical study of 41 biopsy cases. Neurol Med Chir (Tokyo) 2001;41:471–477. doi: 10.2176/nmc.41.471.
    1. Steinhoff BJ, Tumani H, Otto M, Mursch K, Wiltfang J, Herrendorf G, Bittermann HJ, Felgenhauer K, Paulus W, Markakis E. Cisternal S100 protein and neuron-specific enolase are elevated and site-specific markers in intractable temporal lobe epilepsy. Epilepsy Res. 1999;36:75–82. doi: 10.1016/S0920-1211(99)00026-1.
    1. Conti A, Sanchez-Ruiz Y, Bachi A, Beretta L, Grandi E, Beltramo M, Alessio M. Proteome study of human cerebrospinal fluid following traumatic brain injury indicates fibrin(ogen) degradation products as trauma-associated markers. J Neurotrauma. 2004;21:854–863. doi: 10.1089/0897715041526212.
    1. McIntosh MW, Pepe MS. Combining several screening tests: optimality of the risk score. Biometrics. 2002;58:657–664. doi: 10.1111/j.0006-341X.2002.00657.x.
    1. Petricoin EF, Ardekani AM, Hitt BA, Levine PJ, Fusaro VA, Steinberg SM, Mills GB, Simone C, Fishman DA, Kohn EC, Liotta LA. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002;359:572–577. doi: 10.1016/S0140-6736(02)07746-2.
    1. Liotta LA, Petricoin EF, 3rd, Ardekani AM, Hitt BA, Levine PJ, Fusaro VA, Steinberg SM, Mills GB, Simone C, Fishman DA, Kohn EC. General keynote: proteomic patterns in sera serve as biomarkers of ovarian cancer. Gynecol Oncol. 2003;88:S25–S28. doi: 10.1006/gyno.2002.6679.
    1. Casado B, Pannell LK, Viglio S, Iadarola P, Baraniuk JN. Analysis of the sinusitis nasal lavage fluid proteome using capillary liquid chromatography interfaced to electrospray ionization quadrupole-time of flight tandem mass spectrometry. Electrophoresis. 2004;25:1386–1393. doi: 10.1002/elps.200305862.
    1. Casado B, Pannell KL, Iadarola P, Baraniuk J. Identification of human nasal mucus proteins using proteomics. Proteomics. 2005;5:2949–2959. doi: 10.1002/pmic.200401172.
    1. Casado B, Pannell LK, Whalen G, Clauw DJ, Baraniuk JN. Human neuroglobin protein in cerebrospinal fluid. BMC Proteome Science. 2005;3:2. doi: 10.1186/1477-5956-3-2.
    1. Lea R, Hopkins V, Hastleton J, Houghton LA, Whorwell PJ. Diagnostic criteria for irritable bowel syndrome: utility and applicability in clinical practice. Digestion. 2004;70:210–213. doi: 10.1159/000082891.
    1. Baraniuk JN, Clauw JD, Gaumond E. Rhinitis symptoms in chronic fatigue syndrome. Annals Allergy Asthma Immunol. 1998;81:359–365.
    1. Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care. 1995;30:473–483.
    1. Ware JE, Kosinski M, Keller SD. Physical and mental health summary scales: a user's manual. Boston: The Health Institute; 1994.
    1. Smets EM, Garssen B, Bonke B, De Haes JC. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995;39:315–325. doi: 10.1016/0022-3999(94)00125-O.
    1. Melzack R. The short-form mcgill pain questionnaire. Pain. 1987;30:191–197. doi: 10.1016/0304-3959(87)91074-8.
    1. Radloff LS. The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement. 1977;1:385–401.
    1. Geisser ME, Roth RS, Robinson ME. Assessing depression among persons with chronic pain using the Center for Epidemiological Studies-Depression Scale and the Beck Depression Inventory: a comparative analysis. Clin J Pain. 1997;13:163–170. doi: 10.1097/00002508-199706000-00011.
    1. Baraniuk JN, Maibach H, Whalen G, Clauw DJ. Covariates of corticotropin releasing hormone (CRH) concentrations in cerebrospinal fluid (CSF) from healthy humans. BMC Neurosci. 2004;5:58. doi: 10.1186/1471-2202-5-58.
    1. Baraniuk JN, Whalen G, Cunningham J, Clauw DJ. Cerebrospinal fluid levels of opioid peptides in fibromyalgia and chronic low back pain. BMC Musculoskelet Disord. 2004;5:48. doi: 10.1186/1471-2474-5-48.
    1. Baraniuk JN, Okayama M, Lundgren JD, Mullol M, Merida M, Shelhamer JH, Kaliner MA. Vasoactive intestinal peptide (VIP) in human nasal mucosa. J Clin Invest. 1990;86:825–831.
    1. Hines WM, Parker K, Peltier J, Patterson DH, Vestal ML, Martin SA. Protein identification and protein characterization by high-performance time-of-flight mass spectrometry. J Protein Chem. 1998;17:525–526.
    1. Andersen JS, Küster B, Podtelejnikov A, Moertz E, Mann M. The 47th ASMS Conference on Mass Spectrometry and Allied Topics, Dallas TX TPG poster 285
    1. Omenn GS. The Human Proteome Organization Plasma Proteome Project pilot phase: reference specimens, technology platform comparisons, and standardized data submissions and analyses. Proteomics. 2004;4:1235–1240. doi: 10.1002/pmic.200300686.
    1. Marchler-Bauer A, Anderson JB, DeWeese-Scott C, Fedorova ND, Geer LY, He S, Hurwitz DI, Jackson JD, Jacobs AR, Lanczycki CJ, Liebert CA, Liu C, Madej T, Marchler GH, Mazumder R, Nikolskaya AN, Panchenko AR, Rao BS, Shoemaker BA, Simonyan V, Song JS, Thiessen PA, Vasudevan S, Wang Y, Yamashita RA, Yin JJ, Bryant SH. CDD: a curated Entrez database of conserved domain alignments. Nucleic Acids Res. 2003;31:383–387. doi: 10.1093/nar/gkg087.
    1. Huang H, Barker WC, Chen Y, Wu C. iProclass: an integrated database of protein family classification, function and structure information. Nucleic Acids Res. 2003;31:390–392. doi: 10.1093/nar/gkg044.
    1. Bairoch A, Apweiler R, Wu CH, Barker WC, Boeckmann B, Ferro S, Gasteiger E, Huang H, Lopez R, Magrane M, Martin MJ, Natale DA, O'Donovan C, Redaschi N, Yeh LS. The Universal Protein Resource (UniProt) Nucleic Acids Res. 2005:D154–D159.
    1. Swinscow TDV, Campbell MJ. Statistics at Square One. BMJ Books London. 2002. pp. 44–51.
    1. Gardner MJ, Altman DG, editors Statistics With Confidence – Confidence intervals and
    1. Speake T, Whitwell C, Kajita H, Majid A, Brown PD. Mechanisms of CSF secretion by the choroid plexus. Microsc Res Tech. 2001;52:49–59. doi: 10.1002/1097-0029(20010101)52:1<49::AID-JEMT7>;2-C.
    1. Reiber H. Proteins in cerebrospinal fluid and blood: barriers, CSF flow rate and source-related dynamics. Restor Neurol Neurosci. 2003;21:79–96.
    1. Johnston M, Zakharov A, Papaiconomou C, Salmasi G, Armstrong D. Evidence of connections between cerebrospinal fluid and nasal lymphatic vessels in humans, non-human primates and other mammalian species. Cerebrospinal Fluid Res. 2004;1:2. doi: 10.1186/1743-8454-1-2.
    1. Reiber H. Proteins in cerebrospinal fluid and blood: barriers, CSF flow rate and source-related dynamics. Restor Neurol Neurosci. 2003;21:79–96.
    1. Esposito P, Chandler N, Kandere K, Basu S, Jacobson S, Connolly R, Tutor D, Theoharides TC. Corticotropin-releasing hormone and brain mast cells regulate blood-brain-barrier permeability induced by acute stress. J Pharmacol Exp Ther. 2002;303:1061–1066. doi: 10.1124/jpet.102.038497.
    1. Simons FE. Advances in H1-antihistamines. N Engl J Med. 2004;351:2203–2217. doi: 10.1056/NEJMra033121.
    1. Steinberg P, McNutt BE, Marshall P, Schenck C, Lurie N, Pheley A, Peterson PK. Double-blind placebo-controlled study of the efficacy of oral terfenadine in the treatment of chronic fatigue syndrome. J Allergy Clin Immunol. 1996;97:119–126. doi: 10.1016/S0091-6749(96)70290-7.
    1. Saunders AJ, Bertram L, Mullin K, Sampson AJ, Latifzai K, Basu S, Jones J, Kinney SD, MacKenzie-Ingano L, Yu S, Albert MS, Moscarillo TJ, Go RC, Bassett SS, Daly MJ, Laird NM, Wang X, Velicelebi G, Wagner SL, Becker DK, Tanzi RE, Blacker D. Genetic association of Alzheimer's disease with multiple polymorphisms in alpha-2-macroglobulin. Hum Mol Genet. 2003;12:2765–2776. doi: 10.1093/hmg/ddg310.
    1. Nakamura H, Yuasa I, Umetsu K, Nakagawa M, Nanba E, Kimura K. The rearrangement of the human alpha(1)-acid glycoprotein/orosomucoid gene: evidence for tandemly triplicated genes consisting of two AGP1 and one AGP2. Biochem Biophys Res Commun. 2000;276:779–784. doi: 10.1006/bbrc.2000.3522.
    1. Sun YX, Minthon L, Wallmark A, Warkentin S, Blennow K, Janciauskiene S. Inflammatory markers in matched plasma and cerebrospinal fluid from patients with Alzheimer's disease. Dement Geriatr Cogn Disord. 2003;16:136. doi: 10.1159/000071001.
    1. Kask L, Trouw LA, Dahlback B, Blom AM. The C4b-binding protein-protein S complex inhibits the phagocytosis of apoptotic cells. J Biol Chem. 2004;279:23869–23873. doi: 10.1074/jbc.C400159200.
    1. Kang JH, Kim KS, Choi SY, Kwon HY, Won MH, Kang TC. Carnosine and related dipeptides protect human ceruloplasmin against peroxyl radical-mediated modification. Mol Cells. 2002;13:498–502.
    1. Simonovic M, Gettins PG, Volz K. Crystal structure of human PEDF, a potent anti-angiogenic and neurite growth-promoting factor. Proc Natl Acad Sci USA. 2001;98:11131–11135. doi: 10.1073/pnas.211268598.
    1. Murata J, Lee HY, Clair T, Krutzsch HC, Arestad AA, Sobel ME, Liotta LA, Stracke ML. Cloning of the human tumor motility-stimulating protein, autotaxin, reveals a homology with phosphodiesterases. J Biol Chem. 1994;269:30479–30484.
    1. Taheri S, Cogswell LP, 3rd, Gent A, Strichartz GR. Hydrophobic and ionic factors in the binding of local anesthetics to the major variant of human alpha1-acid glycoprotein. J Pharmacol Exp Ther. 2003;304:71–80. doi: 10.1124/jpet.102.042028.
    1. Atemezem A, Mbemba E, Vassy R, Slimani H, Saffar L, Gattegno L. Human alpha1-acid glycoprotein binds to CCR5 expressed on the plasma membrane of human primary macrophages. Biochem J. 2001;356:121–128. doi: 10.1042/0264-6021:3560121.
    1. Lockhart A, Davis B, Matthews JC, Rahmoune H, Hong G, Gee A, Earnshaw D, Brown J. The peripheral benzodiazepine receptor ligand PK11195 binds with high affinity to the acute phase reactant alpha1-acid glycoprotein: implications for the use of the ligand as a CNS inflammatory marker. Nucl Med Biol. 2003;30:199–206. doi: 10.1016/S0969-8051(02)00410-9.
    1. Sadrzadeh SM, Bozorgmehr J. Haptoglobin phenotypes in health and disorders. Am J Clin Pathol. 2004;121:S97–104.
    1. Morris CM, Candy JM, Edwardson JA, Bloxham CA, Smith A. Evidence for the localization of haemopexin immunoreactivity in neurones in the human brain. Neurosci Lett. 1993;149:141–144. doi: 10.1016/0304-3940(93)90756-B.
    1. Nelson AL, Barasch JM, Bunte RM, Weiser JN. Bacterial colonization of nasal mucosa induces expression of siderocalin, an iron-sequestering component of innate immunity. Cell Microbiol. 2005;7:1404–1417. doi: 10.1111/j.1462-5822.2005.00566.x.
    1. Yerbury JJ, Rybchyn MS, Easterbrook-Smith SB, Henriques C, Wilson MR. The acute phase protein haptoglobin is a mammalian extracellular chaperone with an action similar to clusterin. Biochemistry. 2005;44:10914–10925. doi: 10.1021/bi050764x.
    1. Na N, Ouyang J, Taes YE, Delanghe JR. Serum free hemoglobin concentrations in healthy individuals are related to haptoglobin type. Clin Chem. 2005;51:1754–1755. doi: 10.1373/clinchem.2005.055657.
    1. Osman I, Gaillard O, Meillet D, Bordas-Fonfrede M, Gervais A, Schuller E, Delattre J, Legrand A. A sensitive time-resolved immunofluorometric assay for the measurement of apolipoprotein B in cerebrospinal fluid. Application to multiple sclerosis and other neurological diseases. Eur J Clin Chem Clin Biochem. 1995;33:53–58.
    1. Rensink AA, de Waal RM, Kremer B, Verbeek MM. Pathogenesis of cerebral amyloid angiopathy. Brain Res Brain Res Rev. 2003;43:207–223. doi: 10.1016/j.brainresrev.2003.08.001.
    1. Sun HQ, Yamamoto M, Mejellano M, Yin HL. Gelsolin, a multifunctional actin regulatory protein. J Biol Chem. 1999;274:33179–33182. doi: 10.1074/jbc.274.47.33179.
    1. Liepina I, Janmey P, Czaplewski C, Liwo A. Towards gelsolin amyloid formation. Biopolymers. 2004;76:543–548. doi: 10.1002/bip.20175.
    1. Herzig MC, Winkler DT, Burgermeister P, Pfeifer M, Kohler E, Schmidt SD, Danner S, Abramowski D, Sturchler-Pierrat C, Burki K, van Duinen SG, Maat-Schieman ML, Staufenbiel M, Mathews PM, Jucker M. Abeta is targeted to the vasculature in a mouse model of hereditary cerebral hemorrhage with amyloidosis. Nat Neurosci. 2004;7:954–960. doi: 10.1038/nn1302.
    1. Bergen HR, 3rd, Abraham RS, Johnson KL, Bradwell AR, Naylor S. Characterization of amyloidogenic immunoglobulin light chains directly from serum by on-line immunoaffinity isolation. Biomed Chromatogr. 2004;18:191–201. doi: 10.1002/bmc.323.
    1. Galuske RA, Drach LM, Nichtweiss M, Marquardt G, Franz K, Bohl J, Schlote W. Colocalization of different types of amyloid in the walls of cerebral blood vessels of patients suffering from cerebral amyloid angiopathy and spontaneous intracranial hemorrhage: a report of 5 cases. Clin Neuropathol. 2004;23:113–119.
    1. Dealwis C, Wall J. Towards understanding the structure-function relationship of human amyloid disease. Curr Drug Targets. 2004;5:159–171. doi: 10.2174/1389450043490550.
    1. Janowski R, Abrahamson M, Grubb A, Jaskolski M. Domain swapping in N-truncated human cystatin C. J Mol Biol. 2004;341:151–160. doi: 10.1016/j.jmb.2004.06.013.
    1. Armen RS, DeMarco ML, Alonso DO, Daggett V. Pauling and Corey's alpha-pleated sheet structure may define the prefibrillar amyloidogenic intermediate in amyloid disease. Proc Natl Acad Sci USA. 2004;101:11622–11627. doi: 10.1073/pnas.0401781101.
    1. Gerhartz B, Ekiel I, Abrahamson M. Two stable unfolding intermediates of the disease-causing L68Q variant of human cystatin C. Biochemistry. 1998;37:17309–17317. doi: 10.1021/bi980873u.
    1. Ringelstein EB, Nabavi DG. Cerebral small vessel diseases: cerebral microangiopathies. Curr Opin Neurol. 2005;18:179–188. doi: 10.1097/01.wco.0000162861.26971.03.
    1. Yamada M. Cerebral amyloid angiopathy and gene polymorphisms. J Neurol Sci. 2004;226:41–44. doi: 10.1016/j.jns.2004.09.009.
    1. Schmidt H, Fazekas F, Schmidt R. Microangiopathy-related cerebral damage and angiotensinogen gene: from epidemiology to biology. J Neural Transm Suppl. 2002;62:53–59.
    1. Rostagno A, Revesz T, Lashley T, Tomidokoro Y, Magnotti L, Braendgaard H, Plant G, Bojsen-Moller M, Holton J, Frangione B, Ghiso J. Complement activation in chromosome 13 dementias. Similarities with Alzheimer's disease. J Biol Chem. 2002;277:49782–19790. doi: 10.1074/jbc.M206448200.
    1. Navarro A, Del Valle E, Astudillo A, Gonzalez del Rey C, Tolivia J. Immunohistochemical study of distribution of apolipoproteins E and D in human cerebral beta amyloid deposits. Exp Neurol. 2003;184:697–704. doi: 10.1016/S0014-4886(03)00315-7.
    1. Lechner T, Adlassnig C, Humpel C, Kaufmann WA, Maier H, Reinstadler-Kramer K, Hinterholzl J, Mahata SK, Jellinger KA, Marksteiner J. Chromogranin peptides in Alzheimer's disease. Lechner T, Adlassnig C, Humpel C, Kaufmann WA, Maier H, Reinstadler-Kramer K, Hinterholzl J, Mahata SK, Jellinger KA, Marksteiner J. Chromogranin peptides in Alzheimer's disease. Exp Gerontol. 2004;39:101–113. doi: 10.1016/j.exger.2003.09.018.
    1. Rangon CM, Haik S, Faucheux BA, Metz-Boutigue MH, Fierville F, Fuchs JP, Hauw JJ, Aunis D. Different chromogranin immunoreactivity between prion and a-beta amyloid plaque. Neuroreport. 2003;14:755–758. doi: 10.1097/00001756-200304150-00019.
    1. Thrower EC, Choe CU, So SH, Jeon SH, Ehrlich BE, Yoo SH. A functional interaction between chromogranin B and the inositol 1,4,5-trisphosphate receptor/Ca2+ channel. J Biol Chem. 2003;278:49699–49706. doi: 10.1074/jbc.M309307200.
    1. Tasiemski A, Hammad H, Vandenbulcke F, Breton C, Bilfinger TJ, Pestel J, Salzet M. Presence of chromogranin-derived antimicrobial peptides in plasma during coronary artery bypass surgery and evidence of an immune origin of these peptides. Blood. 2002;100:553–559. doi: 10.1182/blood.V100.2.553.
    1. Ren JG, Jie C, Talbot C. How PEDF prevents angiogenesis: a hypothesized pathway. Med Hypotheses. 2005;64:74–78. doi: 10.1016/j.mehy.2004.05.016.
    1. Liu H, Ren JG, Cooper WL, Hawkins CE, Cowan MR, Tong PY. Identification of the antivasopermeability effect of pigment epithelium-derived factor and its active site. Proc Natl Acad Sci USA. 2004;101:6605–6610. doi: 10.1073/pnas.0308342101.
    1. Tombran-Tink J, Barnstable CJ. PEDF: a multifaceted neurotrophic factor. Nat Rev Neurosci. 2003;4:628–636. doi: 10.1038/nrn1176.
    1. Casado B, Pannell L, Whalen G, Clauw DJ, Baraniuk JN. The first report of DICKKOPF-3 in cerebrospinal fluid. Proceedings 13th Annual Frederick Conference on Capillary Electrophoresis Oct 21–23, 2002 Ft Detrick, MD.
    1. Kawagoe H, Soma O, Goji J, Nishimura N, Narita M, Inazawa J, Nakamura H, Sano K. Molecular cloning and chromosomal assignment of the human brain-type phosphodiesterase I/nucleotide pyrophosphatase gene (PDNP2) Genomics. 1995;30:380–384. doi: 10.1006/geno.1995.0036.
    1. Jansen S, Stefan C, Creemers JW, Waelkens E, Van Eynde A, Stalmans W, Bollen M. Proteolytic maturation and activation of autotaxin (NPP2), a secreted metastasis-enhancing lysophospholipase D. J Cell Sci Epub. 2005;118:3081–3019. doi: 10.1242/jcs.02438. Epub 2005 Jun 28.
    1. Koh E, Clair T, Woodhouse EC, Schiffmann E, Liotta L, Stracke M. Site-directed mutations in the tumor-associated cytokine, autotaxin, eliminate nucleotide phosphodiesterase, lysophospholipase D, and mitogenic activities. Cancer Res. 2003;63:2042–2045.
    1. Jensen PE, Humle-Jorgensen S, Datta P, Sorensen PS. Significantly increased fractions of transformed to total alpha2-macroglobulin concentrations in plasma from patients with multiple sclerosis. Biochim Biophys Acta. 2004;1690:203–207.
    1. McGeer PL, McGeer EG. Inflammation, autotoxicity and Alzheimer disease. Neurobiol Aging. 2001;22:799–809. doi: 10.1016/S0197-4580(01)00289-5.
    1. McKinley MJ, Albiston AL, Allen AM, Mathai ML, May CN, McAllen RM, Oldfield BJ, Mendelsohn FA, Chai SY. The brain renin-angiotensin system: location and physiological roles. Int J Biochem Cell Biol. 2003;35:901–918. doi: 10.1016/S1357-2725(02)00306-0.
    1. Corvol P, Lamande N, Cruz A, Celerier J, Gasc JM. Inhibition of angiogenesis: a new function for angiotensinogen and des(angiotensin I)angiotensinogen. Curr Hypertens Rep. 2003;5:149–154.
    1. Frank EH, Burge BW, Liwnicz BH, Lotspeich LJ, White JC, Wechsler SL, Mayfield FH, Keller JT. Cytokeratin provides a specific marker for human arachnoid cells grown in vitro. Exp Cell Res. 1983;146:371–376. doi: 10.1016/0014-4827(83)90138-6.
    1. Miettinen M, Clark R, Virtanen I. Intermediate filament proteins in choroid plexus and ependyma and their tumors. Am J Pathol. 1986;123:231–240.
    1. Kasper M, Goertchen R, Stosiek P, Perry G, Karsten U. Coexistence of cytokeratin, vimentin and neurofilament protein in human choroid plexus. An immunohistochemical study of intermediate filaments in neuroepithelial tissues. Virchows Arch A Pathol Anat Histopathol. 1986;410:173–177. doi: 10.1007/BF00710822.
    1. Wang YN, Chang WC. Induction of disease-associated keratin 16 gene expression by epidermal growth factor is regulated through cooperation of transcription factors Sp1 and c-Jun. J Biol Chem. 2003;278:45848–45857. doi: 10.1074/jbc.M302630200.
    1. Gary SC, Zerillo CA, Chiang VL, Gaw JU, Gray G, Hockfield S. cDNA cloning, chromosomal localization, and expression analysis of human BEHAB/brevican, a brain specific proteoglycan regulated during cortical development and in glioma. Gene. 2000;256:139–147. doi: 10.1016/S0378-1119(00)00362-0.
    1. Miller G. The dark side of glia. Science. 2005;308:778–781. doi: 10.1126/science.308.5723.778.
    1. Mukhopadhyay M, Pelka P, DeSousa D, Kablar B, Schindler A, Rudnicki MA, Campos AR. Cloning, genomic organization and expression pattern of a novel Drosophila gene, the disco-interacting protein 2 (dip2), and its murine homolog. Gene. 2002;293:59–65. doi: 10.1016/S0378-1119(02)00694-7.
    1. Johansson C, Willeit M, Smedh C, Ekholm J, Paunio T, Kieseppa T, Lichtermann D, Praschak-Rieder N, Neumeister A, Nilsson LG, Kasper S, Peltonen L, Adolfsson R, Schalling M, Partonen T. Circadian clock-related polymorphisms in seasonal affective disorder and their relevance to diurnal preference. Neuropsychopharmacology. 2003;28:734–739. doi: 10.1038/sj.npp.1300121.
    1. Fisher CL, Berger J, Randazzo F, Brock HW. A human homolog of Additional sex combs, ADDITIONAL SEX COMBS-LIKE 1, maps to chromosome 20q11. Gene. 2003;306:115–126. doi: 10.1016/S0378-1119(03)00430-X.

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