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2251 citation(s) found for "La, Lisa".

Intensive Intraoperative Insulin Therapy versus Conventional Glucose Management during Cardiac Surgery
Gandhi, Gunjan Y. , Nuttall, Gregory A. , Mullany, Charles J., Schaff, Hartzell V. , O’Brien, Peter C. , Johnson, Matthew G. , Cutshall, Susanne M. , Rizza, Robert A., McMahon, M. Molly , Williams, Arthur Robin , Mundy, Lisa K. , Schaff, Hartzell

Annals of Internal Medicine | April 12, 2013 | Volume: 146 | Issue: 4 | Pages: 233-243

10.7326/0003-4819-146-4-200702200-00002 | PMID 17310047 Get It

The Timing of Exposure in Clinic-Based Treatment for Childhood Anxiety Disorders
Gryczkowski, Michelle R. , Tiede, Michael S. , Dammann, Julie E., Jacobsen, Amy Brown, Hale, Lisa R., Whiteside, Stephen P. H.

Behavior Modification | April 2, 2013 | Volume: 37 | Issue: 2 | Pages: 211-225

10.1177/0145445513482394 | PMID 23548341 Get It

The present study examines treatment length and timing of exposure from two child anxiety disorders clinics. Data regarding symptoms and treatment characteristics for 28 youth were prospectively obtained through self, parent, and therapist report at each session. Information regarding length of treatment, timing of exposure initiation, and drop-out rates were compared with those obtained through efficacy and effectiveness trials of manualized treatment for anxious youth. Findings from the authors’ clinical data revealed significantly shorter treatment duration with exposures implemented sooner than in the previous studies. Dropout rates were significantly higher than in the efficacy trial but comparable with the effectiveness trial. Outcome data from a subset of eight patients revealed large effect sizes. These findings suggest that effective treatment can be shorter and more focused on exposure than is often outlined in manuals and have important implications for outcome research and dissemination.
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.
Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity
Jahanshad, Neda , Rajagopalan, Priya , Hua, Xue , Hibar, Derrek P., Nir, Talia M. , Toga, Arthur W. , Jack, Clifford R., Saykin, Andrew J. , Weiner, Michael W. , Medland, Sarah E. , Montgomery, Grant W. , Hansell, Narelle K. , McMahon, Katie L. , Zubicaray, Greig I. de , Martin, Nicholas G. , Wright, Margaret J. , Thompson, Paul M. , Initiative, the Alzheimer’s Disease Neuroimaging, Aisen, Paul, Petersen, Ronald, Jagust, William J. , Trojanowski, John Q. , Toga, Arthur W., Green, Robert C., Liu, Enchi , Green, Robert C., Montine, Tom, Gamst, Anthony, Thomas, Ronald G. , Donohue, Michael, Walter, Sarah , Gessert, Devon, Sather, Tamie, Harvey, Danielle, Donohue, Michael, Kornak, John , Jack, Clifford R., Felmlee, Joel P. , Schuff, Norbert, Alexander, Gene, DeCarli, Charles , Bandy, Dan, Foster, Norm, Reiman, Eric M. , Mathis, Chet, Cairns, Nigel J. , Taylor‐Reinwald, Lisa, Trojanowki, John Q., Shaw, Les, Korecka, Magdalena , Toga, Arthur W., Crawford, Karen , Neu, Scott, Khachaturian, Zaven S., Frank, R.T., Molchan, Susan, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Heidebrink, Judith L. , Johnson, Kris , Doody, Rachelle S., Chowdhury, Munir , Bell, Karen L. , Carroll, Maria , Leon, Sue, Mintun, Mark A., Schneider, Stacy, Marson, Daniel , Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, Romirowsky, Aliza, deToledo‐Morrell, Leyla, Duara, Ranjan , Varon, Daniel, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie , Glodzik, Lidia , Santi, Susan De , Doraiswamy, P. Murali , Petrella, Jeffrey R. , Coleman, Robert E. , Arnold, Steven E. , Karlawish, Jason H., Smith, Charles D., Jicha, Gregory A. , Hardy, Peter , Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Mulnard, Ruth A., Thai, Gaby , Mc-Adams-Ortiz, Catherine, Mathews, Dana, Quiceno, Mary , King, Richard, Martin-Cook, Kristen, Devous, Michael D. , Cellar, Janet S., Anderson, Heather S., Swerdlow, Russell H. , Apostolova, Liana , Lu, Po H. , Bartzokis, George, Graff‐Radford, Neill R. , Parfitt, Francine, Farlow, Martin R. , Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Carson, Richard E. , MacAvoy, Martha G., Chertkow, Howard , Bergman, Howard , Hosein, Chris, Caldwell, Curtis, Hsiung, Ging‐Yuek Robin , Feldman, Howard J., Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles , Munic, Donna, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang‐Kuo, Johnson, Nancy E., Sadowsky, Carl, Villena, Teresa, Johnson, Kathleen, Reynolds, Brigid, Marshall, Gad A. , Frey, Meghan , Yesavage, Jerome A. , Taylor, Joy L. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Sabbagh, Marwan, Belden, Christine M. , Jacobson, Sandra A. , Kowall, Neil W. , Budson, Andrew E. , Johnson, Patricia Lynn, Wolday, Saba, Bwayo, Salome K., Lerner, Alan J. , Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Olichney, John , Kittur, Smita, Borrie, Michael, Lee, T.-Y., Bartha, Robert , Asthana, Sanjay , Carlsson, Cynthia M., Preda, Adrian , Tariot, Pierre N. , Fleisher, Adam , Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Kataki, Maria , Zimmerman, Earl A. , Celmins, Dzintra, Brown, Alice D., Blank, Karen, Anderson, Karen, Santulli, Robert B. , Schwartz, Eben S., Williamson, Jeff D. , Garg, Pradeep , Watkins, Franklin, Ott, Brian R. , Querfurth, Henry, Tremont, Geoffrey , Salloway, Stephen , Malloy, Paul, Correia, Stephen , Rosen, Howard J., Mintzer, Jacobo , Longmire, Crystal Flynn, Spicer, Kenneth, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Lee, Ting‐Yim , Jack, Clifford R., Green, Robert C. , Initiative, the Alzheimer’s Disease Neuroimaging, Jack, Clifford R. , Toga, Arthur W., Beckett, Laurel , Green, Robert C., Morris, John C. , Green, Robert C., Donohue, Michael, Sather, Tamie, Donohue, Michael, Jack, Clifford R., Dale, Anders M. , Bernstein, Matt A. , Fox, Nick C. , Koeppe, Robert A. , Chen, Kewei , Mathis, Chet, Lee, Virginia M.‐Y. , Toga, Arthur W., Foroud, Tatiana , Potkin, Steven G. , Shen, Li , Snyder, Peter J. , Kaye, Jeffrey , Lord, Joanne L. , Villanueva-Meyer, Javier E. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Grossman, Hillel, Shah, Raj C. , Duara, Ranjan , Varón, Daniel , Rusinek, Henry , Leon, Mony J. de , Karlawish, Jason , Wolk, David A. , Porsteinsson, Anton P. , Womack, Kyle , Diaz‐Arrastia, Ramon , Weiner, Myron , Levey, Allan I. , Lah, James J. , Burns, Jeffrey M. , Silverman, Daniel H.S. , Johnson, Heather M. , Black, Sandra E. , Stefanovic, Bojana , Kertesz, Andrew, Kerwin, Diana , Martínez, Walter Fabián , Turner, Raymond Scott , Sperling, Reisa Anne , Johnson, Keith A. , Killiany, Ronald , Norbash, Alexander , Obisesan, Thomas O. , Carmichael, Owen , Johnson, Sterling C. , Nguyen, Dana R. , Reeder, Stephanie, Scharre, Douglas W. , Pearlson, Godfrey D. , Sink, Kaycee M. , Miller, Bruce L. , Finger, Elizabeth C. , Kertesz, Andrew, de Zubicaray, Greig I , Hansell, Narelle K , Saykin, Andrew J , Preda, Adrian , Martin, Nicholas G , Toga, Arthur W , Wright, Margaret J , Thompson, Paul M , Medland, Sarah E , Hsiung, Gink-Yuek , Jicha, Gregory A

Proceedings of the National Academy of Sciences | March 5, 2013 | Volume: 110 | Issue: 12 | Pages: 4768-4773

10.1073/pnas.1216206110 | PMID 23471985 Get It

Aberrant connectivity is implicated in many neurological and psychiatric disorders, including Alzheimer’s disease and schizophrenia. However, other than a few disease-associated candidate genes, we know little about the degree to which genetics play a role in the brain networks; we know even less about specific genes that influence brain connections. Twin and family-based studies can generate estimates of overall genetic influences on a trait, but genome-wide association scans (GWASs) can screen the genome for specific variants influencing the brain or risk for disease. To identify the heritability of various brain connections, we scanned healthy young adult twins with high-field, high-angular resolution diffusion MRI. We adapted GWASs to screen the brain’s connectivity pattern, allowing us to discover genetic variants that affect the human brain’s wiring. The association of connectivity with the SPON1 variant at rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringent statistical corrections were enforced, and it was replicated in an independent subsample. rs2618516 was shown to affect brain structure in an elderly population with varying degrees of dementia. Older people who carried the connectivity variant had significantly milder clinical dementia scores and lower risk of Alzheimer’s disease. As a posthoc analysis, we conducted GWASs on several organizational and topological network measures derived from the matrices to discover variants in and around genes associated with autism ( MACROD2 ), development ( NEDD4 ), and mental retardation ( UBE2A ) significantly associated with connectivity. Connectome-wide, genome-wide screening offers substantial promise to discover genes affecting brain connectivity and risk for brain diseases.
Spillover of Fatty Acids During Dietary Fat Storage in Type 2 Diabetes
Almandoz, Jaime P. , Howell, Lisa , Grothe, Karen, Vlazny, Danielle T. , Smailovic, Almira, Irving, Brian A. , Miles, John M., Singh, Ekta , Nelson, Robert H. , Miles, John M.

Diabetes | January 25, 2013 | Volume: 62 | Issue: 6 | Pages: 1897-1903

10.2337/db12-1407 | PMID 23349503 Get It

Spillover of lipoprotein lipase-generated fatty acids from chylomicrons into the plasma free fatty acid (FFA) pool is an important source of FFA and reflects inefficiency in dietary fat storage. We measured spillover in 13 people with type 2 diabetes using infusions of a [3H]triolein-labeled lipid emulsion and [U-13C]oleate during continuous feeding, before and after weight loss. Body fat was measured with dual energy X-ray absorptiometry and computed tomography. Participants lost ∼14% of body weight. There was an ∼38% decrease in meal-suppressed FFA concentration (P < 0.0001) and an ∼23% decrease in oleate flux (P = 0.007). Fractional spillover did not change (P = NS). At baseline, there was a strong negative correlation between spillover and leg fat (r = −0.79, P = 0.001) and a positive correlation with the trunk-to-leg fat ratio (R = 0.56, P = 0.047). These correlations disappeared after weight loss. Baseline leg fat (R = −0.61, P = 0.027) but not trunk fat (R = −0.27, P = 0.38) negatively predicted decreases in spillover with weight loss. These results indicate that spillover, a measure of inefficiency in dietary fat storage, is inversely associated with lower body fat in type 2 diabetes.
Deletions in 16q24.2 are associated with autism spectrum disorder, intellectual disability and congenital renal malformation
Handrigan, Gregory R., Lionel, Anath C. , Pinsk, Maury , Vaags, Andrea K., Marshall, Christian R. , Dyack, Sarah , Fernandez, Bridget A. , Stegman, Joseph C., Shaffer, Lisa G. , Goodenberger, McKinsey L. , Hodge, Jennelle C. , Cain, Jason E. , Babul‐Hirji, Riyana, Stavropoulos, Dimitri J. , Yiu, Verna, Scherer, Stephen W. , Rosenblum, Norman D. , Chitayat, David A. , Escobar, Luis Fernando , Rosenfeld, Jill A. , Scherer, Stephen W , Goodenberger, McKinsey

Journal of Medical Genetics | January 18, 2013 | Volume: 50 | Issue: 3 | Pages: 163-173

10.1136/jmedgenet-2012-101288 | PMID 23335808 Get It

Background The contribution of copy-number variation (CNV) to disease has been highlighted with the widespread adoption of array-based comparative genomic hybridisation (aCGH) and microarray technology. Contiguous gene deletions involving ANKRD11 in 16q24.3 are associated with autism spectrum disorder (ASD) and intellectual disability (ID), while 16q24.1 deletions affecting FOXF1 are associated with congenital renal malformations, alveolar capillary dysplasia, and various other abnormalities. The disease associations of deletions in the intervening region, 16q24.2, have only been defined to a limited extent. Aim To determine whether deletions affecting 16q24.2 are correlated with congenital anomalies. Methods 35 individuals, each having a deletion in 16q24.2, were characterised clinically and by aCGH and/or SNP-genotyping microarray. Results Several of the 35 16q24.2 deletions identified here closely abut or overlap the coding regions of FOXF1 and ANKRD11, two genes that have been previously associated with the disease. 25 patients were reported to have ASD/ID, and three were found to have bilateral hydronephrosis. 14 of the deletions associated with ASD/ID overlap the coding regions of FBXO31 and MAP1LC3B. These same genes and two others, C16orf95 and ZCCHC14, are also included in the area of minimal overlap of the three deletions associated with hydronephrosis. Conclusions Our data highlight 16q24.2 as a region of interest for ASD, ID and congenital renal malformations. These conditions are associated, albeit without complete penetrance, with deletions affecting C16orf95, ZCCHC14, MAP1LC3B and FBXO31. The function of each gene in development and disease warrants further investigation.
Shining a light on posterior cortical atrophy
Crutch, Sebastian J. , Schott, Jonathan M. , Rabinovici, Gil D. , Cappa, Stefano F. , Dubois, Bruno , Graff‐Radford, Neill R., Krolak‐Salmon, Pierre , Lehmann, Manja , Mendez, Mario F. , Pijnenburg, Yolande A.L. , Ryan, Natalie S. , Scheltens, Philip , Shakespeare, Timothy J. , Tang‐Wai, David F. , Flier, Wiesje M. van der , Bain, Lisa J. , Carrillo, María C. , Fox, Nick C. , Boeve, Bradley F. , Dickerson, Bradford Clark , Graff‐Radford, Neill R., van der Flier, Wiesje M , Scheltens, Philip , Fox, Nick C , Rabinovici, Gil D , Schott, Jonathan M , Pijnenburg, Yolande A L

Alzheimer's & Dementia | December 28, 2012 | Volume: 9 | Issue: 4 | Pages: 463-465

10.1016/j.jalz.2012.11.004 | PMID 23274153 Get It

Abstract Posterior cortical atrophy (PCA) is a clinicoradiologic syndrome characterized by progressive decline in visual processing skills, relatively intact memory and language in the early stages, and atrophy of posterior brain regions. Misdiagnosis of PCA is common, owing not only to its relative rarity and unusual and variable presentation, but also because patients frequently first seek the opinion of an ophthalmologist, who may note normal eye examinations by their usual tests but may not appreciate cortical brain dysfunction. Seeking to raise awareness of the disease, stimulate research, and promote collaboration, a multidisciplinary group of PCA research clinicians formed an international working party, which had its first face‐to‐face meeting on July 13, 2012 in Vancouver, Canada, prior to the Alzheimer's Association International Conference.
A Highly Accessible Classroom Aquaculture Rig
Panetta, Magdalena R., Thammavong, Lisa, Fredricksen, Hannah, Jama, Mohamed , Yenew, Kiara, Goodnow, Greg, Kulzer, James, Sonju, James D., Pierret, Chris

Zebrafish | December 17, 2012 | Volume: 9 | Issue: 4 | Pages: 195-199

10.1089/zeb.2012.0763 | PMID 23244691 Get It

Abstract Embryology can be a rich component of early scientific experiences, and the zebrafish ( Danio rerio ) is an outstanding model for the study of life science. Most often, the production and maintenance of embryos is left to professional scientists. In this work, we describe a set of experiments performed together by all of the students of Lincoln K–8 Choice School in Rochester, MN. The experimental hypothesis is that larger aquarium volumes will yield higher reproductive success for zebrafish. Over 5 weeks of experiments, students demonstrated that larger clutch sizes were produced by zebrafish in 29-gallon tanks than 20-gallon tanks. Moreover, the experiment addressed the safety concerns and preparation necessary to do zebrafish science in K–8 classrooms.
Reporting the results of diagnostic neuromuscular ultrasound: An educational report
Hobson‐Webb, Lisa D., Boon, Andrea J.

Muscle & Nerve | November 30, 2012 | Volume: 47 | Issue: 4 | Pages: 608-610

10.1002/mus.23742 | PMID 23381947 Get It

ABSTRACTIntroduction: Neuromuscular ultrasound (NMUS), an emerging diagnostic subspecialty field, has become an important extension of the electrodiagnostic examination. However, there are no formal guidelines on how to appropriately report NMUS results. Methods: The AANEM convened an expert panel to develop recommendations for reporting NMUS findings. Results: Providers should describe the reason for referral, the nerves or muscles studied, and normal values as well as numerical values for the results of imaging. Muscle imaging reports should also include a description of how gray‐scale values were calculated. NMUS‐guided needle placement reports should include a description of the length and gauge of needle, the type of probe used, and an indication of how well the patient tolerated the procedure. All reports should clearly state whether the findings were normal or abnormal and include a definitive diagnosis. Conclusions: NMUS reports should provide comprehensive information along with a succinct conclusion, mirroring guidelines for electrodiagnostic reports. Muscle Nerve, 2013