Citations

Mayo Clinic

Clear

2153 citation(s) found for "Ma, Anna".

Analysis of Over 10,000 Cases Finds No Association between Previously Reported Candidate Polymorphisms and Ovarian Cancer Outcome
White, Kristin L., Vierkant, Robert A. , Fogarty, Zachary C. , Charbonneau, Bridget, Block, Matthew S. , Chenevix‐Trench, Georgia , group;, for AOCS/ACS, Rossing, Mary Anne, Pearce, Celeste Leigh, Schildkraut, Joellen M. , Menon, Usha , Kjær, Susanne K. , Levine, Douglas A. , Culver, Hoda Anton, Whittemore, Alice S. , Lambrechts, Diether , Wentzensen, Nicolas , Kupryjańczyk, Jolanta , Chang‐Claude, Jenny , Bandera, Elisa V. , Høgdall, Estrid , Heitz, Florian , Kaye, Stanley B., Fasching, Peter A. , Campbell, Ian , Goodman, Marc T. , Bean, Yukie T., Lurie, Galina, Eccles, Diana , Hein, Alexander , Beckmann, Matthias W. , Ekici, Arif B. , Brown, Robert , Flanagan, James M. , Harter, Philipp , Schwaab, Ira, Høgdall, Claus , Lundvall, Lene, Olson, Sara H. , Orlow, Irene , Paddock, Lisa E. , Rudolph, Anja , Eilber, Ursula, Dansonka‐Mieszkowska, Agnieszka , Rzepecka, Iwona K. , Ziółkowska-Seta, Izabela, Brinton, Louise A. , García‐Closas, Montserrat , Despierre, Evelyn, Lambrechts, Sandrina, Vergote, Ignace , Walsh, Christine , Lester, Jenny, Sieh, Weiva , McGuire, Valerie , Rothstein, Joseph H. , Lubiński, Jan , Menkiszak, Janusz , Jensen, Allan , Gayther, Simon A. , Ramus, Susan J. , Wu, Anna H. , Pike, Malcolm C. , DenBerg, David Van, Terry, Kathryn L. , Vitonis, Allison F., Johnatty, Sharon E., DeFazio, Anna , Song, Honglin , Sellers, Thomas A. , Phelan, Catherine M., Kalli, Kimberly R., Cunningham, Julie M. , Goode, Ellen L. , Lambrechts, Diether , Pharoah, Paul D.P. , group;, for AOCS/ACS, Cramer, Daniel W. , Gronwald, Jacek , Karlan, Beth Y. , Pejovic, Tanja B. , Paul, James , Bois, Andreas du , Yang, Hannah , Ziogas, Argyrios , Cybulski, Cezary , Gentry‐Maharaj, Aleksandra , Berchuck, Andrew , Doherty, Jennifer A. , Tyrer, Jonathan P. , Fridley, Brooke L. , Fazio, Anna de , Rudolph, Anja , Lambrechts, Diether , Kjaer, Susanne K , Ramus, Susan J , Hein, Alexander , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Orlow, Irene , Campbell, Ian G , Menkiszak, Janusz , Brown, Robert , Fogarty, Zachary C , Flanagan, James M , Heitz, Florian , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , García-Closas, Montserrat , Ekici, Arif B , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Lubinski, Jan , Goodman, Marc T , Bandera, Elisa V.

Cancer Epidemiology, Biomarkers & Prevention | March 19, 2013 | Volume: 22 | Issue: 5 | Pages: 987-992

10.1158/1055-9965.epi-13-0028 | PMID 23513043 Get It

Abstract Background: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed. Cancer Epidemiol Biomarkers Prev; 22(5); 987–. ©2013 AACR.
Schnitzler's syndrome: diagnosis, treatment, and follow‐up
Simon, Anna , Asli, Bouchra, Braun‐Falco, Markus, Koning, Heleen D. de, Fermand, Jean‐Paul , Grattan, C, Krause, Karoline , Lachmann, Helen J. , Lenormand, C. , Martínez-Taboada, V., Maurer, Marcus , Peters, Margot S. , Rizzi, Rita , Rongioletti, Franco , Ruzicka, Thomas , Schnitzler, L, Schubert, B , Sibilia, Jean , Lipsker, Dan , Krause, Karoline , Lachmann, Helen

Allergy | March 12, 2013 | Volume: 68 | Issue: 5 | Pages: 562-568

10.1111/all.12129 | PMID 23480774 Get It

AbstractSchnitzler's syndrome is characterized by recurrent urticarial rash and monoclonal gammopathy, associated with clinical and biological signs of inflammation and a long‐term risk of AA amyloidosis and overt lymphoproliferation. An extensive literature review was performed, and the following questions were addressed during an expert meeting: In whom should Schnitzler's syndrome be suspected? How should the diagnosis of Schnitzler's syndrome be established? How should a patient with Schnitzler's syndrome be treated? How should a patient with Schnitzler's syndrome be followed up?. A diagnosis of Schnitzler's syndrome is considered definite in any patient with two obligate criteria: a recurrent urticarial rash and a monoclonal IgM gammopathy, and two of the following minor criteria: recurrent fever, objective signs of abnormal bone remodeling, elevated CRP level or leukocytosis, and a neutrophilic infiltrate on skin biopsy. It is considered probable, if only 1 minor criterion is present. In patients with monoclonal IgG gammopathies, diagnosis is definite if three minor criteria are present and possible if two are present. First‐line treatment in patients with significant alteration of quality of life or persistent elevation of markers of inflammation should be anakinra. Follow‐up should include clinical evaluation, CBC and CRP every 3 months and MGUS as usually recommended.
Combined and Interactive Effects of Environmental and GWAS-Identified Risk Factors in Ovarian Cancer
Pearce, Celeste Leigh, Rossing, Mary Anne, Lee, Alice W. , Ness, Roberta B., Webb, Penelope M. , Cancer), for Australian Cancer Study (Ovarian, Group, and Australian Ovarian Cancer Study, Chenevix‐Trench, Georgia , Jordan, Susan M., Stram, Douglas, Chang‐Claude, Jenny, Hein, Rebecca, Nickels, Stefan , Lurie, Galina, Thompson, Pamela J., Carney, Michael E., Goodman, Marc T. , Moysich, Kirsten B., Høgdall, Estrid , Jensen, Allan , Goode, Ellen L. , Cunningham, Julie M. , Vierkant, Robert A. , Gayther, Simon A. , Menon, Usha , Ramus, Susan J. , Brinton, Louise A. , Wentzensen, Nicolas , Lissowska, Jolanta , García‐Closas, Montserrat , Massuger, Leon F.A.G. , Kiemeney, Lambertus A. , Altena, Anne M. van , Aben, Katja K.H. , Iversen, Edwin S., McGuire, Valerie, Moorman, Patricia G. , Pike, Malcolm C. , Sieh, Weiva , Terry, Kathryn L. , Whittemore, Alice S. , Wu, Anna H. , Schildkraut, Joellen M. , Kjær, Susanne K. , Jordan, Susan J. , Cancer), for Australian Cancer Study (Ovarian, Group, and Australian Ovarian Cancer Study, Jordan, Susan M., Fridley, Brooke L. , Weber, Rachel Palmieri , Ziogas, Argyrios , Anton‐Culver, Hoda , Gentry‐Maharaj, Aleksandra , Berchuck, Andrew , Doherty, Jennifer A. , Pharoah, Paul D.P. , Risch, Harvey A. , Stram, Daniel O. , Kiemeney, Lambertus A , Kjaer, Susanne K , Ramus, Susan J , Webb, Penelope M , Jensen, Allan , Vierkant, Robert A , Menon, Usha , Moysich, Kirsten , Lissowska, Jolanta , Sieh, Weiva , García-Closas, Montserrat , Chenevix-Trench, Georgia , Høgdall, Estrid , Goodman, Marc T

Cancer Epidemiology, Biomarkers & Prevention | March 6, 2013 | Volume: 22 | Issue: 5 | Pages: 880-890

10.1158/1055-9965.epi-12-1030-t | PMID 23462924 Get It

Abstract Background: There are several well-established environmental risk factors for ovarian cancer, and recent genome-wide association studies have also identified six variants that influence disease risk. However, the interplay between such risk factors and susceptibility loci has not been studied. Methods: Data from 14 ovarian cancer case–control studies were pooled, and stratified analyses by each environmental risk factor with tests for heterogeneity were conducted to determine the presence of interactions for all histologic subtypes. A genetic “risk score” was created to consider the effects of all six variants simultaneously. A multivariate model was fit to examine the association between all environmental risk factors and genetic risk score on ovarian cancer risk. Results: Among 7,374 controls and 5,566 cases, there was no statistical evidence of interaction between the six SNPs or genetic risk score and the environmental risk factors on ovarian cancer risk. In a main effects model, women in the highest genetic risk score quartile had a 65% increased risk of ovarian cancer compared with women in the lowest [95% confidence interval (CI), 1.48–1.84]. Analyses by histologic subtype yielded risk differences across subtype for endometriosis (Phet < 0.001), parity (Phet < 0.01), and tubal ligation (Phet = 0.041). Conclusions: The lack of interactions suggests that a multiplicative model is the best fit for these data. Under such a model, we provide a robust estimate of the effect of each risk factor that sets the stage for absolute risk prediction modeling that considers both environmental and genetic risk factors. Further research into the observed differences in risk across histologic subtype is warranted. Cancer Epidemiol Biomarkers Prev; 22(5); 880–90. ©2013 AACR.
Biomarkers in bipolar disorder: A positional paper from the International Society for Bipolar Disorders Biomarkers Task Force
Frey, Benício N. , Andreazza, Ana C. , Houenou, Josselin , Jamain, Stéphane , Goldstein, Benjamin I. , Frye, Mark A. , Leboyer, Marion , Berk, Michael , Malhi, Gin S. , López‐Jaramillo, Carlos , Taylor, Valerie H. , Frangou, Sophia , Hall, Geoffrey B. , Fernandes, Brisa S. , Kauer‐Sant’Anna, Marcia , Yatham, Lakshmi N. , Kapczinski, Flávio , Young, L. Trevor , Dodd, Seetal , Andreazza, Ana C , Frangou, Sophia , López-Jaramillo, Carlos , Yatham, Lakshmi N , Jamain, Stéphane , Leboyer, Marion , Berk, Michael , Malhi, Gin S , Goldstein, Benjamin I

Australian & New Zealand Journal of Psychiatry | February 15, 2013 | Volume: 47 | Issue: 4 | Pages: 321-332

10.1177/0004867413478217 | PMID 23411094 Get It

Although the etiology of bipolar disorder remains uncertain, multiple studies examining neuroimaging, peripheral markers and genetics have provided important insights into the pathophysiologic processes underlying bipolar disorder. Neuroimaging studies have consistently demonstrated loss of gray matter, as well as altered activation of subcortical, anterior temporal and ventral prefrontal regions in response to emotional stimuli in bipolar disorder. Genetics studies have identified several potential candidate genes associated with increased risk for developing bipolar disorder that involve circadian rhythm, neuronal development and calcium metabolism. Notably, several groups have found decreased levels of neurotrophic factors and increased pro-inflammatory cytokines and oxidative stress markers. Together these findings provide the background for the identification of potential biomarkers for vulnerability, disease expression and to help understand the course of illness and treatment response. In other areas of medicine, validated biomarkers now inform clinical decision-making. Although the findings reviewed herein hold promise, further research involving large collaborative studies is needed to validate these potential biomarkers prior to employing them for clinical purposes. Therefore, in this positional paper from the ISBD-BIONET (biomarkers network from the International Society for Bipolar Disorders), we will discuss our view of biomarkers for these three areas: neuroimaging, peripheral measurements and genetics; and conclude the paper with our position for the next steps in the search for biomarkers for bipolar disorder.
Sildenafil and Diastolic Dysfunction After Acute Myocardial Infarction in Patients With Preserved Ejection Fraction
Ersbøll, Mads , Raja, Anna Axelsson , Gustafsson, Finn , Hassager, Christian , Køber, Lars , Boesgaard, Søren, Skovgaard, Lene Theil , Møller, Jacob Eifer , Andersen, Mads J. , Borlaug, Barry A. , Hassager, Christian , Gustafsson, Finn , Køber, Lars

Circulation | February 14, 2013 | Volume: 127 | Issue: 11 | Pages: 1200-1208

10.1161/circulationaha.112.000056 | PMID 23406672 Get It

Background— Diastolic dysfunction is frequently seen after myocardial infarction and is characterized by a disproportionate increase in filling pressure during exercise to maintain stroke volume. We hypothesized that sildenafil would reduce filling pressure during exercise in patients with diastolic dysfunction after myocardial infarction. Methods and Results— Seventy patients with diastolic dysfunction and near normal left ventricular ejection fraction on echocardiography were randomly assigned sildenafil 40 mg thrice daily or matching placebo for 9 weeks. Before randomization and after 9 weeks of treatment patients underwent simultaneous echocardiography and right heart catheterization at rest and during exercise. Primary end point was pulmonary capillary wedge pressure, and secondary end points comprised cardiac index and pulmonary arterial pressure at rest and during exercise after 9 weeks. After 9 weeks there were no differences in pulmonary capillary wedge pressure at rest (13±4 versus 13±3 mm Hg, P =0.25) or at peak exercise (35±8 mm Hg versus 31±7 mm Hg, P =0.07). However, with treatment cardiac index increased at rest ( P =0.006) and peak exercise ( P =0.02) in the sildenafil group, and systemic vascular resistance index (resting, P =0.0002; peak exercise, P =0.007) and diastolic blood pressure (resting, P =0.005; peak exercise, P =0.02) were lower in the sildenafil group. Resting left ventricular end-diastolic volume index increased ( P =0.001) within the sildenafil group but was unchanged in the placebo group. Conclusions— Sildenafil did not decrease filling pressure at rest or during exercise in post–myocardial infarction patients with diastolic dysfunction. However, there were effects on secondary end points, which require further studies. Clinical Trial Registration— URL: http://www.clinicaltrials.gov/ct2/show/NCT01046838 . Unique identifier: NCT01046838.
Intra-articular nuclear factor-κB blockade ameliorates collagen-induced arthritis in mice by eliciting regulatory T cells and macrophages
Min, S-Y, Yan, Mei , Du, Yong , Wu, Tianfu , Khobahy, Elhaum, Kwon, S-R, Taneja, Veena , Bashmakov, Anna, Nukala, S, Ye, Yujia , Orme, Jacob J. , Sajitharan, Deena, Kim, H-Y, Mohan, Chandra , Taneja, Veena

Clinical and Experimental Immunology | January 18, 2013 | Volume: 172 | Issue: 2 | Pages: 217-227

10.1111/cei.12054 | PMID 23574318 Get It

SummaryNuclear factor (NF)-κB is a transcription factor implicated in the pathogenesis of autoimmune disorders such as rheumatoid arthritis (RA). Here we have examined the effect of intra-articular administration of the IKK inhibitor, NEMO-binding domain peptide (NBD), on the severity of collagen-induced arthritis (CIA). NBD peptides were injected intra-articularly into the knee joints of DBA/1J mice after the onset of disease. Collagen-injected mice given a scrambled peptide served as controls. Arthritis severity was determined by visual examination of paws. Intra-articular NBD injection reduced the arthritis score and ameliorated morphological signs of bone destruction compared to the controls. Serum levels of type-II collagen-specific immunoglobulin (Ig)G2a antibodies were lower in NBD-treated mice versus the control mice, whereas the levels of type-II collagen-specific IgG1 antibodies were increased by NBD treatment. NBD treatment diminished the proinflammatory cytokines interleukin (IL)-17 and interferon (IFN)-γ in serum, but increased the regulatory cytokine IL-10. NBD-treated CIA mice exhibited significantly higher percentages and numbers of forkhead box protein 3 (FoxP3+)CD4+CD25+ regulatory T cells than controls. Immunofluorescence analysis of NBD-treated mice revealed that FoxP3 and Ym1, a marker of alternatively activated macrophages, were juxtaposed to each other within draining inguinal lymph nodes. Intra-articular administration of NBD peptide is effective as an experimental therapy in a murine model of RA. Nevertheless, the intra-articular treatment modality is still associated with systemic effects on the immune system.
ANNA‐1 (anti‐Hu) associated sensory neuronopathy with malignant mixed mullerian tumor
Fournier, Christina , Kalra, Aarti, Zarwan, Corinne, Srinivasan, Jayashri, Lachance, Daniel Honore

Muscle & Nerve | December 24, 2012 | Volume: 47 | Issue: 5 | Pages: 776-777

10.1002/mus.23764 | PMID 23536385 Get It

A novel role of BMP4 in adult hematopoietic stem and progenitor cell homing via Smad independent regulation of integrin-α4 expression
Khurana, Satish , Buckley, Shannon M. , Schouteden, Sarah, Ekker, Stephen C. , Petryk, Anna , Delforge, Michel, Zwijsen, An , Verfaillie, Catherine M. , Ekker, Stephen C , Verfaillie, Catherine

Blood | December 14, 2012 | Volume: 121 | Issue: 5 | Pages: 781-790

10.1182/blood-2012-07-446443 | PMID 23243277 Get It

Key PointsCytokine-induced loss of murine as well as human HSPC homing during ex vivo culture can be prevented by addition of BMP4. In HSPCs, BMP4 directly regulates Integrin-α4 expression through SMAD-independent p38 MAPK-mediated signaling.
Short- and Long-term Individual Variation in Cardiac Troponin in Patients with Stable Coronary Artery Disease
Nordenskjöld, Anna M. , Fröbert, Ole , Jaffe, Allan S. , Venge, Per , Ahlström, Håkan K. , Eggers, Kai M. , Jaffe, Allan S. , Lindahl, Bertil

Clinical Chemistry | November 11, 2012 | Volume: 59 | Issue: 2 | Pages: 401-409

10.1373/clinchem.2012.191700 | PMID 23143329 Get It

BACKGROUND A rise or fall of cardiac troponin is a prerequisite for the diagnosis of acute myocardial infarction. Defining significant changes requires knowledge of both biological and analytical variation. The short-term biological variation of cardiac troponin in healthy individuals is 3%–48%. However, healthy individuals may not be representative for patients in whom cardiac troponin measurement is often of clinical importance. Therefore, we studied the individual variation of cardiac troponin in patients with symptoms of stable coronary artery disease. METHODS Twenty-four patients scheduled for elective coronary angiography were included. Blood samples were drawn once at enrollment and serially at six 4-h intervals on the day before coronary angiography. Cardiac troponin was measured with hs-cTn assays from Abbott Laboratories (premarket cTnI assay) and Roche Diagnostics (Elecsys® cTnT assay with two different lots). RESULTS The short-term individual variation in cardiac troponin I (cTnI) was 14%, the reference change value (RCV) 49%, and RCV-log-normal (rise/fall) 54%/−35%. The corresponding values for cTnT were 7%, 23%, and 26%/−21%. The long-term variation for cTnI was 24%, RCV 69%, and RCV-log-normal (rise/fall) 97%/−49%. The corresponding values for cTnT were 11%, 32%, and 37%/−27%. CONCLUSIONS The short-term individual variation of cardiac troponin in patients with symptoms of stable coronary artery disease is similar to the biological variation previously demonstrated in healthy individuals. Our results suggest that a change in cardiac troponin concentrations of >50% can be used in attempting to diagnose acute myocardial injury. To detect significant long-term changes in cardiac troponin concentrations, larger changes will be required.