Urine proteomics for discovery of improved diagnostic markers of Kawasaki disease

Kawasaki disease (KD) is a systemic vasculitis of unknown etiology. Absence of definitive diagnostic markers limits the accuracy of clinical evaluations of suspected KD with significant increases in morbidity. In turn, incomplete understanding of its molecular pathogenesis hinders the identification of rational targets needed to improve therapy. We used high-accuracy mass spectrometry proteomics to analyse over 2000 unique proteins in clinical urine specimens of patients with KD. We discovered that urine proteomes of patients with KD, but not those with mimicking conditions, were enriched for markers of cellular injury such as filamin and talin, immune regulators such as complement regulator CSMD3, immune pattern recognition receptor muclin, and immune cytokine protease meprin A. Significant elevations of filamin C and meprin A were detected in both the serum and urine in two independent cohorts of patients with KD, comprised of a total of 236 patients. Meprin A and filamin C exhibited superior diagnostic performance as compared to currently used markers of disease in a blinded case-control study of 107 patients with suspected KD, with receiver operating characteristic areas under the curve of 0.98 (95% confidence intervals [CI] of 0.97–1 and 0.95–1, respectively). Notably, meprin A was enriched in the coronary artery lesions of a mouse model of KD. In all, urine proteome profiles revealed novel candidate molecular markers of KD, including filamin C and meprin A that exhibit excellent diagnostic performance. These disease markers may improve the diagnostic accuracy of clinical evaluations of children with suspected KD, lead to the identification of novel therapeutic targets, and allow the development of a biological classification of Kawasaki disease

Linking mental and primary health care in rural areas

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44091/1/10488_2005_Article_BF02254827.pd

Importance du profil clinique dans le dépistage de l'ostéoporose postménopausique par densitométrie. [Importance of the clinical profile in the postmenopausal osteoporosis screening by densitometry]

In order to test the impact of a given risk profile on the incidence of osteoporosis which could justify BMD measurement, and that of a low risk profile which could render it unnecessary, BMD was measured in 217 women under 72 in whom menopause had occurred at least 6 years previously and who corresponded to one of the two following profiles: high risk (A, n = 102) = BMI < 27 kg/m2, with no estrogen replacement treatment, and with at least one of the following risk factors: BMI < 20, early menopause, positive family history, no dairy products associated with tobacco consumption (> 10 cigarettes/day for > 20 years and/or alcohol consumption of > 0.5 l wine/day during > 10 years, corticotherapy of > 6 months, rickets, anorexia nervosa. Low risk (B, n = 115) = absence of characteristics of group A, BMI > 27 kg/m2 with (B+, n = 24) or without estrogen therapy (B-, n = 91). BMD was measured by DXA in 4 centers using Lunar or Hologic equipment. Results were expressed in % of the mean of the respective young adult control groups. As expected, BMD was significantly different in these two subgroups of the population. Osteoporosis was diagnosed (BMD < 75% = < -2.5 SD, according to WHO) in 72% of group A, and in 17% (B+) and 19% (B-) respectively of group B. There was no difference between the various risk factors in group A concerning their impact on BMD, but concerning incidence, low BMI and early menopause were the most frequent. The high risk profile of group A seems to justify densitometry, since it leads to the diagnosis of osteoporosis in over 70%. However, the protective profile of group B does not exclude osteoporosis (risk still 20%); only in severe obesity (BMI > 33) does it drop to 1%

Comparison of three bone ultrasounds for the discrimination of subjects with and without osteoporotic fractures among 7562 elderly women.

Bone ultrasound measures (QUSs) can assess fracture risk in the elderly. We compared three QUSs and their association with nonvertebral fracture history in 7562 Swiss women 70-80 years of age. The association between nonvertebral fracture was higher for heel than phalangeal QUS. INTRODUCTION: Because of the high morbidity and mortality associated with osteoporotic fractures, it is essential to detect subjects at risk for such fractures with screening methods. Because quantitative bone ultrasound (QUS) discriminated subjects with osteoporotic fractures from controls in several cross-sectional studies and predicted fractures in prospective studies, QUS could be more practical than DXA for screening. MATERIAL AND METHODS: This cross-sectional and retrospective multicenter (10 centers) study was performed to compare three QUSs (two heel ultrasounds: Achilles+ [GE-Lunar] and Sahara [Hologic]; the phalanges: ultrasound DBM sonic 1200 [IGEA]) for determining by logistic regression nonvertebral fracture odds ratio (OR) in a sample of 7562 Swiss women, 75.3 +/- 3.1 years of age. The two heel QUSs measured the broadband ultrasound attenuation (BUA) and the speed of sound (SOS). In addition, Achilles+ calculated the stiffness index (SI) and the Sahara calculated the quantitative ultrasound index (QUI) from BUA and SOS. The DBM sonic 1200 measured the amplitude-dependent SOS (AD-SOS). RESULTS: Eighty-six women had a history of a traumatic hip fracture after the age of 50, 1594 had a history of forearm fracture, and 2016 had other nonvertebral fractures. No fracture history was reported by 3866 women. Discrimination for hip fracture was higher than for the other nonvertebral fractures. The two heel QUSs had a significantly higher discrimination power than the QUSs of the phalanges, with standardized ORs, adjusted for age and body mass index, ranging from 2.1 to 2.7 (95% CI = 1.6, 3.5) compared with 1.4 (95% CI = 1.1, 1.7) for the AD-SOS of DBM sonic 1200. CONCLUSION: This study showed a high association between heel QUS and hip fracture history in elderly Swiss women. This could justify integration of QUS among screening strategies for identifying elderly women at risk for osteoporotic fractures