Citations

Mayo Clinic

Clear

635 citation(s) found for "Xu, Hannah".

Endocrine Conditions and COVID-19
Shekhar, Skand , Wurth, Rachel , Kamilaris, Crystal , Eisenhofer, Graeme , Barrera, Francisco J. , Hajdenberg, Michelle , Tonleu, Joselyne, Schiffrin, Ernesto L. , Porter, Forbes D. , Hannah‐Shmouni, Fady , Schiffrin, Ernesto L , Hannah-Shmouni, Fady , Tonleu, Joselyne Tessa , Hall, Janet Elizabeth , Stratakis, Constantine A.

Hormone and Metabolic Research | June 8, 2020 | Volume: 52 | Issue: 07 | Pages: 471-484

10.1055/a-1172-1352 | PMID 32512611 Get It

AbstractCOVID-19 was declared a global pandemic by the WHO and has affected millions of patients around the world. COVID-19 disproportionately affects persons with endocrine conditions, thus putting them at an increased risk for severe disease. We discuss the mechanisms that place persons with endocrine conditions at an additional risk for severe COVID-19 and review the evidence. We also suggest precautions and management of endocrine conditions in the setting of global curfews being imposed and offer practical tips for uninterrupted endocrine care.
Methylated DNA markers for plasma detection of ovarian cancer: Discovery, validation, and clinical feasibility.
Marinelli, Lisa M. , Ahlquist, David A. , Burger, Kelli N. , Lemens, Maureen A. , Shridhar, Viji , Allawi, Hatim T. , Berg, Hannah, Giakoumopoulos, Maria , Kaiser, Michael W., Schoolmeester, J. Kenneth , Kerr, Sarah E. , Bakkum‐Gamez, Jamie N. , Slettedahl, Seth W. , Mahoney, Douglas W. , Taylor, William R. , Berger, Calise K. , Doering, Karen A. , Sherman, Mark E. , Kisiel, John B.

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 6072-6072

10.1200/jco.2020.38.15_suppl.6072 Get It

6072 Background: Effective screening tests for ovarian cancer (OC) are lacking; most cases present at advanced stage and portend poor prognosis. DNA methylation is an early event in carcinogenesis and can be detected in blood plasma samples from cancer patients. In DNA extracted from tissues, we first discovered, then validated discriminant methylated DNA marker (MDM) candidates for OC and subsequently tested independent plasma from women with and without OC. Methods: For discovery, DNA from 67 frozen tissues (18 high grade serous (HGS), 18 endometrioid, 15 clear cell (CC), 6 mucinous OCs; 10 benign fallopian tube epithelium (FT); and 19 buffy coats from cancer-free women underwent reduced representation bisulfite sequencing (RRBS) to identify MDMs associated with OC. Candidate MDM selection was based on receiver operating characteristic (ROC) discrimination, methylation fold change, and low background methylation among controls. Blinded biological validation was performed using methylated specific PCR on DNA extracted from independent FFPE tissues from OCs (36 HGS, 22 endometrioid, 21 CC, and 14 mucinous) and 29 FT. Top performing MDMs in tissue were tested using long-probe quantitative amplified signal assays in independent pre-treatment plasma samples from women newly-diagnosed with OC and population-sampled healthy women. A random forest modeling analysis was performed to generate predictive probability of disease; results were 500-fold in silico cross-validated. Results: After RRBS discovery and biological validation, 33 MDMs showed marked methylation fold changes (10 to > 1000) across all OC histologies vs FT. The top 11 MDMs ( GPRIN1, CDO1, SRC, SIM2, AGRN, FAIM2, CELF2, DSCR6, GYPC, CAPN2, BCAT1) were tested on plasma from 91 women with OC (76 (84%) HGS) and 91 without OC; the cross-validated 11-MDM panel highly discriminated OC from controls (96% (95%CI 89-99%) specificity; 79% (69-87%) sensitivity, and AUC 0.91 (0.86 - 0.96)). Among HGS, the panel correctly identified 83%, including 5/6 stage I/II, and the majority of other subtypes (Table). Conclusions: Whole methylome sequencing, stringent filtering criteria, and biological validation yielded outstanding candidate MDMs for OC that performed with promisingly high sensitivity and specificity in plasma. Larger plasma-based OC MDM testing studies, with larger numbers of non-HGS histologies are warranted. [Table: see text]
Yeast Beta-Glucan Supplementation Downregulates Markers of Systemic Inflammation after Heated Treadmill Exercise
Zabriskie, Hannah A. , Blumkaitis, Julia C., Moon, Jessica M. , Currier, Brad S. , Stefan, Riley R., Ratliff, Kayla M., Stecker, Richard A., Rudnicka, Karolina , Jäger, Ralf , Roberts, Michael D. , Young, Kaelin C. , Jagim, Andrew R. , Kerksick, Chad M. , Harty, Patrick S , Roberts, Michael D , Jagim, Andrew R , Kerksick, Chad M , Zabriskie, Hannah A , Currier, Bradley S , Harty, Patrick S.

Nutrients | April 21, 2020 | Volume: 12 | Issue: 4 | Pages: 1144

10.3390/nu12041144 | PMID 32325856 Get It

Aerobic exercise and thermal stress instigate robust challenges to the immune system. Various attempts to modify or supplement the diet have been proposed to bolster the immune system responses. The purpose of this study was to identify the impact of yeast beta-glucan (Saccharomyces cerevisiae) supplementation on exercise-induced muscle damage and inflammation. Healthy, active men (29.6 ± 6.7 years, 178.1 ± 7.2 cm, 83.2 ± 11.2 kg, 49.6 ± 5.1 mL/kg/min, n = 16) and women (30.1 ± 8.9 years, 165.6 ± 4.1 cm, 66.7 ± 10.0 kg, 38.7 ± 5.8 mL/kg/min, n = 15) were randomly assigned in a double-blind and cross-over fashion to supplement for 13 days with either 250 mg/day of yeast beta-glucan (YBG) or a maltodextrin placebo (PLA). Participants arrived fasted and completed a bout of treadmill exercise at 55% peak aerobic capacity (VO2Peak) in a hot (37.2 ± 1.8 °C) and humid (45.2 ± 8.8%) environment. Prior to and 0, 2, and 72 h after completing exercise, changes in white blood cell counts, pro- and anti-inflammatory cytokines, markers of muscle damage, markers of muscle function, soreness, and profile of mood states (POMS) were assessed. In response to exercise and heat, both groups experienced significant increases in white blood cell counts, plasma creatine kinase and myoglobin, and soreness along with reductions in peak torque and total work with no between-group differences. Concentrations of serum pro-inflammatory cytokines in YBG were lower than PLA for macrophage inflammatory protein 1β (MIP-1β) (p = 0.044) and tended to be lower for interleukin 8 (IL-8) (p = 0.079), monocyte chemoattractment protein 1 (MCP-1) (p = 0.095), and tumor necrosis factor α (TNF-α) (p = 0.085). Paired samples t-tests using delta values between baseline and 72 h post-exercise revealed significant differences between groups for IL-8 (p = 0.044, 95% Confidence Interval (CI): (0.013, 0.938, d = −0.34), MCP-1 (p = 0.038, 95% CI: 0.087, 2.942, d = −0.33), and MIP-1β (p = 0.010, 95% CI: 0.13, 0.85, d = −0.33). POMS outcomes changed across time with anger scores in PLA exhibiting a sharper decline than YBG (p = 0.04). Vigor scores (p = 0.04) in YBG remained stable while scores in PLA were significantly reduced 72 h after exercise. In conclusion, a 13-day prophylactic period of supplementation with 250 mg of yeast-derived beta-glucans invoked favorable changes in cytokine markers of inflammation after completing a prolonged bout of heated treadmill exercise.
Phase 1 study of lenzilumab, a recombinant anti–human GM-CSF antibody, for chronic myelomonocytic leukemia
Patnaik, Mrinal M. , Sallman, David A. , Mangaonkar, Abhishek A. , Heuer, Rachel, Hirvela, Jeffery, Zblewski, Darci, Al‐Kali, Aref , Binder, Moritz , Balasis, Maria E. , Newman, Hannah , Letson, Christopher T. , Gangat, Naseema , Komrokji, Rami S. , Tefferi, Ayalew , Lo, Adrian , Shih, Ted, Durrant, Cameron, Padron, Eric , Binder, Moritz , Komrokji, Rami S , Balasis, Maria , Newman, Hannah , Kruer, Traci , List, Alan F.

Blood | April 15, 2020 | Volume: 136 | Issue: 7 | Pages: 909-913

10.1182/blood.2019004352 | PMID 32294158 Get It

In this phase 1 trial, inhibition of granulocyte-macrophage colony-stimulating factor (GM-CSF) was associated with clinically meaningful responses in 5 of 15 patients with relapsed or refractory chronic myelomonocytic leukemia (CMML). Preliminary data suggest that this approach may be tractable in CMML bearing activating NRAS mutations.
Hypochlorous acid-generating electrochemical scaffold eliminates Candida albicans biofilms
Zmuda, Hannah , Mohamed, Abdelrhman , Raval, Yash S. , Call, Douglas R. , Patel, Robin , Beyenal, Haluk , Zmuda, H M , Mohamed, A , Beyenal, H , Patel, Robin , Schuetz, Audrey N. , Raval, Yash S.

Journal of Applied Microbiology | April 6, 2020 | Volume: 129 | Issue: 4 | Pages: 776-786

10.1111/jam.14656 | PMID 32249986 Get It

Abstract Aims Wound infections involving Candida albicans can be challenging to treat because of the fungus’ ability to penetrate wound tissue and form biofilms. The goal of this study was to assess the activity of a hypochlorous acid (HOCl)-generating electrochemical scaffold (e-scaffold) against C. albicans biofilms in vitro and on porcine dermal explants (ex vivo). Methods and Results C. albicans biofilms were grown either on acrylic-bottom six-well plates (in vitro) or on skin tissue excised from porcine ears (ex vivo), and the polarized e-scaffold was used to generate a continuous supply of low concentration HOCl near biofilm surfaces. C. albicans biofilms grown in vitro were reduced to undetectable amounts within 24 h of e-scaffold exposure, unlike control biofilms (5·28 ± 0·034 log10 (CFU cm-2); P < 0·0001). C. albicans biofilms grown on porcine dermal explants were also reduced to undetectable amounts in 24 h, unlike control explant biofilms (4·29 ± 0·057 log10 (CFU cm-2); P < 0·0001). There was a decrease in the number of viable mammalian cells (35·6 ± 6·4%) in uninfected porcine dermal explants exposed to continuous HOCl-generating e-scaffolds for 24 h compared to explants exposed to nonpolarized e-scaffolds (not generating HOCl) (P < 0·05). Conclusions Our HOCl-generating e-scaffold is a potential antifungal-free strategy to treat C. albicans biofilms in chronic wounds. Significance and Impact of the Study Wound infections caused by C. albicans are difficult to treat due to presence of biofilms in wound beds. Our HOCl producing e-scaffold provides a promising novel approach to treat wound infections caused by C. albicans.
Abstract PD5-01: Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays in triple negative breast cancer
Reisenbichler, Emily , Bossuyt, Veerle , Brock, Jane, Cole, Kimberly, Fadare, Oluwole , Hameed, Omar , Hanley, Krisztina , Harrison, Beth , Kuba, M. Gabriela , Miller, Dylan V. , Podoll, Mirna, Roden, Anja C. , Wei, Shi , Wen, Hannah Y. , Han, Gang , Pelekanou, Vasiliki , Yaghoobi, Vesal , Ahmed, Fahad Shabbir , Bellizzi, Andrew M. , Ly, Amy , Sanders, Mary Ann , Singh, Kamaljeet , Pusztai, Lajos , Rimm, David L.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: PD5-01-PD5-01

10.1158/1538-7445.sabcs19-pd5-01 Get It

Abstract Background: The IMpassion130 study demonstrated prolonged overall survival when atezolizumab, a PD-L1 inhibitor, was added to nab-paclitaxel in PD-L1 positive patients with advanced triple negative breast cancer (TNBC). Approximately 40% of tumors were PD-L1 positive, utilizing a cutoff of ≥ 1% immune cell (IC) staining with the Ventana SP142 immunohistochemical (IHC) assay. The Food and Drug Administration (FDA) approved this assay as a companion test to determine patient eligibility for atezolizumab therapy. However, literature in lung cancer shows that pathologists have a high discordance in assessing PD-L1 on IC. The FDA companion test documentation for SP142 shows high inter-laboratory reproducibility with nearly 95% overall percent agreement (OPA) between 2 readers for 2 category scoring of IC (positive versus negative) in TNBC in a central laboratory. PD-L1 testing for breast cancer is now becoming widespread in pathology laboratories. The goal of this study was to assess concordance in PD-L1 scoring between 19 pathologists from 14 institutions examining the same 86 TNBC tissues stained with the SP142 and SP263 antibodies. We also present a new method to determine the minimum number for evaluators needed to estimate concordance between large numbers of readers as occurs in real life setting. Methods: Full tissue sections were stained exactly as prescribed on the label on the Ventana Benchmark with the SP142 and SP263 PD-L1 assays. Sixty-eight and 76 cases were evaluable respectively. Stained slides were scanned and digital files distributed to pathologists who independently scored cases as either negative (< 1% IC staining) or positive (≥ 1% IC staining) and estimated the % of IC staining for positive cases. We applied a method that we call Observers Needed to Evaluate Subjective Tests (ONEST). For any combination of pathologists, we can quantify the degree of overall agreement using the proportion of tissue samples upon which all selected pathologists agreed, which can lead to a plot of non-increasing trajectory of agreement as the number of pathologists increases. We computed and plotted the empirical estimate of the overall agreement with the 95% confidence interval (CI) from 1000 randomly selected permutations of the pathologists. Results: PD-L1 was interpreted as positive with SP263 in an average of 78% of cases compared to 58% with the SP142 assay (p<.0001). IC positive continuous scores ranged from 1-95% (mean=20%) and 1-90% (mean=10%) for SP263 and SP142. Complete 2 category (positive vs negative) scoring concordance across all observers was achieved in 38 cases (50%) with SP263 and 26 cases (38%) with SP142. The intraclass correlation coefficient (ICC) for 2 category scoring of SP263 and SP142 was 0.513 and 0.560 respectively. ONEST plots made for each assay for 19 pathologists showed a decrease in OPA as number of observers increased, reaching a low plateau of approximately 0.46 at 10 observers for SP263 and 0.42 at 8 observers for SP142. Conclusions: Utilizing the FDA approved SP142 assay, we found a higher prevalence of PD-L1 positive tumors than published in the IMpassion130 trial but lower prevalence than seen with the SP263 assay. The different proportion of positive cases seen with two different assays highlights the need to establish cutoffs for each assay to correspond with clinical benefit. The ICC of scoring immune cells with both PD-L1 assays showed poor reproducibility across multiple pathologists. The ONEST analysis finds a plateau with 10 pathologists, only reaching an OPA of 0.4 for immune cell assessment. This suggests that more than half of the pathologists in real world situations may mis-assign patient IC scores. This could lead to a high percentage of patients either receiving atezolizumab, when they are unlikely to benefit or not receiving atezolizumab when they may benefit. Citation Format: Emily Suzanne Reisenbichler, Gang Han, Vasiliki Pelekanou, Vesal Yaghoobi, Fahad S Ahmed, Andrew Bellizzi, Veerle Bossuyt, Jane Brock, Kimberly Cole, Oluwole Fadare, Omar Hameed, Krisztina Hanley, Beth T Harrison, M G Kuba, Amy Ly, Dylan Miller, Mirna Podoll, Anja C Roden, Mary A Sanders, Kamaljeet Singh, Shi Wei, Hannah Wen, Lajos Pusztai, David L Rimm. Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays in triple negative breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr PD5-01.
The genetic architecture of the human cerebral cortex
Grasby, Katrina L. , Jahanshad, Neda , Painter, Jodie N. , Colodro‐Conde, Lucía , Bralten, Janita , Hibar, Derrek P. , Lind, Penelope A. , Pizzagalli, Fabrizio , Ching, Christopher R. K. , McMahon, Mary , Shatokhina, Natalia , Zsembik, Leo , Thomopoulos, Sophia I. , Zhu, Alyssa H. , Strike, Lachlan T. , Alhusaini, Saud , Almeida, Marcio , Amlien, Inge K. , Andersson, Micael , Ard, Tyler , Armstrong, Nicola J. , Bernard, Manon , Brouwer, Rachel M. , Buimer, Elizabeth E.L. , Bürger, Christian, Cannon, Dara M. , Chen, Qiang , Cheung, J. , Couvy‐Duchesne, Baptiste , Dale, Anders M. , Dalvie, Shareefa , Araujo, Tânia Kawasaki de , Zubicaray, Greig I. de , Zwarte, Sonja M. C. de , Braber, Anouk den , Doan, Nhat Trung , Dohm, Katharina , Ehrlich, Stefan , Engelbrecht, Hannah-Ruth , Erk, Susanne , Fan, Chun Chieh , Fedko, Iryna O. , Foley, Sonya , Fukunaga, Masaki , Ge, Tian , Giddaluru, Sudheer, Goldman, Aaron L. , Green, Melissa J. , Groenewold, Nynke A. , Grotegerd, Dominik , Gurholt, Tiril P. , Hansell, Narelle K. , Harris, Mathew A., Harrison, Marc , Haswell, Courtney C. , Hauser, Michael A. , Heslenfeld, Dirk J., Ho, New Fei , Hoehn, David , Holleran, Laurena , Hottenga, Jouke‐Jan , Jansen, Iris E. , Jockwitz, Christiane , Karama, Sherif , Kasperavičiūtė, Dalia , Kaufmann, Tobias , Kelly, Sinéad, Kikuchi, Masataka , Klein, Marieke , Knapp, Michael , Knodt, Annchen R. , Krämer, Bernd , Lancaster, T. , Lewis, Lindsay B. , Mathias, Samuel R. , Melzer, Tracy R. , Milaneschi, Yuri , Mirza‐Schreiber, Nazanin , Moreira, José C.V. , Mühleisen, Thomas W. , Müller‐Myhsok, Bertram , Najt, Pablo , Nakahara, Soichiro , Orfanos, Dimitri Papadopoulos , Pitcher, Toni L. , Quidé, Yann , Ragothaman, Anjanibhargavi , Reay, William R. , Redlich, Ronny , Repple, Jonathan , Riedel, Brandalyn C. , Risacher, Shannon L. , Rocha, Cristiane S. , Salminen, Lauren E. , Saremi, Arvin , Schlag, Fenja, Schmaal, Lianne , Secolin, Rodrigo , Shapland, Chin Yang , Shumskaya, Elena , Sønderby, Ida E. , Sprooten, Emma , Tansey, Katherine E. , Teumer, Alexander , Thalamuthu, Anbupalam , Tordesillas‐Gutiérrez, Diana , Turner, Jessica A. , Uhlmann, Anne , Meer, Dennis van der , Donkelaar, Marjolein M. J. van , Eijk, Liza van , Haren, Neeltje E.M. van , Tol, Marie‐José van , Walton, Esther , Wang, Mingyuan, Wardlaw, Joanna M. , Wen, Wei , Whelan, Christopher D. , Wittfeld, Katharina , Wolf, Christiane , Wolfers, Thomas , Wu, Jing , Yasuda, Clarissa Lin , Zaremba, Dario , Zhang, Zuo , Zwiers, Marcel P. , Artiges, Éric , Assareh, Amelia A., Ayesa‐Arriola, Rosa , Belger, Ayşenil , Brandt, Christine L., Brown, Gregory G. , Cichon, Sven , Curran, Joanne E. , Davies, Gareth E., Degenhardt, Franziska , Dennis, Michelle F. , Dietsche, Bruno, Doherty, Colin P. , Espiritu, Ryan, Gowland, Penny , Häusler, Alexander N. , Heindel, Walter , Ho, Beng‐Choon , Holsboer, Florian , Hosten, Norbert , Jang, MiHyun , Jansen, Andreas , Koops, Sanne, Krug, Axel , Lim, Kelvin O. , Luykx, Jurjen J. , Mather, Karen A. , Mattay, Venkata S. , Son, Jacqueline Mayoral-van , McEwen, Sarah , Melle, Ingrid , Morris, Derek W. , Nöthen, Markus M. , OʼLeary, Daniel S. , Martinot, Marie‐Laure Paillère , Preda, Adrian , Quinlan, Erin Burke , Rasser, Paul E. , Reppermund, Simone , Steen, Vidar M. , Tooney, Paul A. , Torres, Fábio R. , Veltman, Dick J. , Voyvodic, James , White, Tonya , Yamamori, Hidenaga , Adams, Hieab H.H. , Bis, Joshua C. , Debette, Stéphanie , DeCarli, Charles , Fornage, Myriam , Guðnason, Vilmundur , Hofer, Edith , Ikram, M. Arfan , Longstreth, W.T. , Roshchupkin, Gennady V. , Satizábal, Claudia L. , Schmidt, Reinhold, Initiative¶, Alzheimer’s Disease Neuroimaging, Initiative¶, Parkinson’s Progression Markers, Alvim, Marina K. M. , Ames, David, Anderson, Tim , Blangero, John , Brodaty, Henry , Brunner, Han G. , Buckner, Randy L. , Buitelaar, Jan K. , Cairns, Murray J. , Calhoun, Vince D. , Caseras, Xavier , Caspers, Svenja , Cavalleri, Gianpiero L. , Cendes, Fernando , Corvin, Aiden , Crespo‐Facorro, Benedicto , Dalrymple‐Alford, John C. , Geus, Eco J. C. de , Deary, Ian J. , Delanty, Norman, Depondt, Chantal, Desrivières, Sylvane , Donohoe, Gary , Fisher, Simon E. , Flor, Herta , Forstner, Andreas J. , Francks, Clyde , Franke, Barbara , Glahn, David C., Gruber, Oliver , Hariri, Ahmad R. , Hartman, Catharina A. , Hashimoto, Ryota , Heinz, Andreas , Hillegers, Manon H. J. , Hoekstra, Pieter J. , Hong, L. Elliot , Pol, Hilleke E. Hulshoff , Jönsson, Erik G. , Kahn, René S. , Kennedy, Martin A. , Kircher, Tilo , Hellard, Stéphanie Le , Loughland, Carmel M. , Martinot, Jean‐Luc , McMahon, Katie L. , Meyer‐Lindenberg, Andreas , Michie, Patricia T. , Morey, Rajendra A. , Mowry, Bryan , Nyberg, Lars , Oosterlaan, Jaap , Pantelis, Christos , Pausová, Zdenka , Penninx, Brenda W.J.H. , Polderman, Tinca J. C. , Posthuma, Daniëlle , Rowland, Laura M. , Sachdev, Perminder S. , Sämann, Philipp G. , Schall, Ulrich , Schumann, Günter , Scott, Rodney J. , Sim, Kang , Smoller, Jordan W., Sommer, Iris E. , Pourcain, Beaté St , Stein, Dan J. , Ent, Dennis van ‘t , Völzke, Henry , Weber, Bernd , Weinberger, Daniel R. , Wright, Margaret J. , Zhou, Juan , Thompson, Paul M. , Medland, Sarah E. , Seppi, Klaus , Duijn, Cornelia M. van , Jicha, Gregory A. , Vernooij, Meike W. , Mishra, Aniket , Saba, Yasaman , Shenkman, Elizabeth , Ghanbari, Mohsen , Knol, Maria J. , Witte, A. Veronica , Kremen, Sarah , DeCarli, Charles , McMahon, Mary Agnes B , Zsembik, Leo C P , Agartz, Ingrid , Almeida, Marcio A A , Amlien, Inge K , Andersson, Micael , Ard, Tyler , Armstrong, Nicola J , Atkins, Joshua R , Bernard, Manon , Brouwer, Rachel M , Buimer, Elizabeth E L , Chen, Qiang , Cheung, Joshua W , Couvy-Duchesne, Baptiste , Dale, Anders M , de Araujo, Tânia K , de Zubicaray, Greig I , Dohm, Katharina , Ehrlich, Stefan , Engelbrecht, Hannah-Ruth , Fedko, Iryna O , Ford, Judith M , Fukunaga, Masaki , Garrett, Melanie E , Green, Melissa J , Grotegerd, Dominik , Gurholt, Tiril P , Gutman, Boris A , Hansell, Narelle K , Harris, Mathew A , Harrison, Marc B , Haswell, Courtney C , Hauser, Michael , Herms, Stefan , Hoehn, David , Hoffmann, Per , Holleran, Laurena , Hoogman, Martine , Hottenga, Jouke-Jan , Ikeda, Masashi , Janowitz, Deborah , Jansen, Iris E , Jia, Tianye , Jockwitz, Christiane , Kanai, Ryota , Karama, Sherif , Kaufmann, Tobias , Kikuchi, Masataka , Klein, Marieke , Knodt, Annchen R , Krämer, Bernd , Lee, Phil H , Lewis, Lindsay B , Lopes-Cendes, Iscia , Luciano, Michelle , Macciardi, Fabio , Marquand, Andre F , Melzer, Tracy R , Mirza-Schreiber, Nazanin , Moreira, Jose C V , Mühleisen, Thomas W , Najt, Pablo , Olde Loohuis, Loes M , Orfanos, Dimitri Papadopoulos , Pearson, John F , Pitcher, Toni L , Quidé, Yann , Ragothaman, Anjanibhargavi , Reay, William R , Reinbold, Céline S , Repple, Jonathan , Richard, Geneviève , Riedel, Brandalyn C , Rocha, Cristiane S , Mota, Nina Roth , Salminen, Lauren , Saremi, Arvin , Saykin, Andrew J , Schlag, Fenja , Schofield, Peter R , Secolin, Rodrigo , Shapland, Chin Yang , Shen, Li , Shin, Jean , Shumskaya, Elena , Sprooten, Emma , Thalamuthu, Anbupalam , Turner, Jessica A , Vallerga, Costanza Ludovica , van Eijk, Liza , van Erp, Theo G M , van Haren, Neeltje E M , van Rooij, Daan , van Tol, Marie-José , Veldink, Jan H , Verhoef, Ellen , Walton, Esther , Wang, Mingyuan , Wang, Yunpeng , Wardlaw, Joanna Marguerite , Wen, Wei , Westlye, Lars T , Witt, Stephanie H , Wittfeld, Katharina , Wolf, Christiane , Wolfers, Thomas , Wu, Jing Qin , Yasuda, Clarissa L , Zhang, Zuo , Artiges, Eric , Ayesa-Arriola, Rosa , Belger, Aysenil , Cichon, Sven , Curran, Joanne E , Dennis, Michelle F , Djurovic, Srdjan , Doherty, Colin P , Garijo, Daniel , Gowland, Penny A , Green, Robert C. , Häusler, Alexander N , Ho, Beng-Choon , Hoffmann, Wolfgang U , Holsboer, Florian , Homuth, Georg , Hosten, Norbert , Jack, Clifford R , Jang, MiHyun , Jansen, Andreas , Krug, Axel , Lim, Kelvin O , Luykx, Jurjen J , Mathalon, Daniel H , Mattay, Venkata S , McEwen, Sarah C , Melle, Ingrid , Morris, Derek W , Mueller, Bryon A. , Nordvik, Jan E , Nöthen, Markus M , O'Leary, Daniel S , Preda, Adrian , Rasser, Paul E , Ratnakar, Varun , Steen, Vidar M , Torres, Fábio R , Veltman, Dick J , Voyvodic, James T , Whelan, Robert , Yamamori, Hidenaga , Adams, Hieab H H , López, Oscar L. , Mazoyer, Bernard , Mosley, Thomas H. , Satizabal, Claudia L , Seshadri, Sudha , Alvim, Marina K M , Anderson, Tim J , Andreassen, Ole A , Bastin, Mark E , Beckham, Jean C , Boomsma, Dorret I , Brodaty, Henry , Buitelaar, Jan K , Bustillo, Juan R , Cahn, Wiepke , Cairns, Murray J , Calhoun, Vince D. , Carr, Vaughan J , Cavalleri, Gianpiero L , Corvin, Aiden , Crespo-Facorro, Benedicto , Dalrymple-Alford, John C , Dannlowski, Udo , de Geus, Eco J C , Depondt, Chantal , Desrivières, Sylvane , Donohoe, Gary , Espeseth, Thomas , Fisher, Simon E , Flor, Herta , Francks, Clyde , Franke, Barbara , Gollub, Randy L , Håberg, Asta K , Hartman, Catharina A , Henskens, Frans A , Hillegers, Manon H J , Hoekstra, Pieter J , Holmes, Avram J , Hulshoff Pol, Hilleke E , Jönsson, Erik G , Kennedy, Martin A , Kircher, Tilo T J , Kwok, John B J , Le Hellard, Stephanie , Martin, Nicholas G , McMahon, Katie L , Meyer-Lindenberg, Andreas , Michie, Patricia T , Morey, Rajendra A , Mowry, Bryan , Oosterlaan, Jaap , Ophoff, Roel A , Pantelis, Christos , Pausova, Zdenka , Penninx, Brenda W J H , Polderman, Tinca J C , Posthuma, Danielle , Rietschel, Marcella , Roffman, Joshua L , Sachdev, Perminder S , Schall, Ulrich , Sim, Kang , Sommer, Iris E , St Pourcain, Beate , Stein, Dan J , Toga, Arthur W , Trollor, Julian N , Van der Wee, Nic J A , van 't Ent, Dennis , Walter, Henrik , Weber, Bernd , Weinberger, Daniel R , Wright, Margaret J , Zhou, Juan , Stein, Jason L , Thompson, Paul M , Medland, Sarah E , de Zwarte, Sonja M C , Ching, Christopher R K , Thomopoulos, Sophia I , Cendes, Fernando , Teumer, Alexander , van Duijn, Cornelia M , Debette, Stephanie , Seppi, Klaus , Hashimoto, Ryota , Jicha, Gregory A , Ge, Tian , Kremen, Sarah , Agartz, Ingrid , Alnæs, Dag , Ashley‐Koch, Allison E. , Bülow, Robin , Bürger, Christian, Chakravarty, M. Mallar , Dohm, Katharina , Lam, Max , Lett, Tristram A. P. , Lopes‐Cendes, Íscia , Nho, Kwangsik T. , Pütz, Benno , Rashid, Faisal M. , Saykin, Andrew J. , Schofield, Peter R. , Shen, Li , Veldink, Jan H. , Witt, Stephanie H. , Gil, Yolanda , Jack, Clifford R. , Kimbrel, Nathan A. , Kolskår, Knut K. , Matthews, Sarah , Nauck, Matthias A. , Opel, Nils , Pike, G. Bruce , Launer, Lenore J. , Mosley, Thomas H. , Seshadri, Sudha , Yang, Qiong , Initiative¶, Alzheimer’s Disease Neuroimaging, Initiative¶, Parkinson’s Progression Markers, Andreassen, Ole A. , Vásquez, Alejandro Arias , Bastin, Mark E. , Baune, Bernhard , Fernández, Guillén , Grabe, Hans Jörgen , Hopkins, William Donald , Jernigan, Terry L. , Kochunov, Peter V , Kwok, John B. , Martin, Nicholas G. , McDonald, Colm , Ophoff, Roel A. , Paus, Tomáš , Sisodiya, Sanjay , Smoller, Jordan W. , Toga, Arthur W. , Walter, Henrik , Stein, Jason L.

Science | March 19, 2020 | Volume: 367 | Issue: 6484 | Pages: No page available

10.1126/science.aay6690 | PMID 32193296 Get It

INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 369 nominally genome-wide significant loci ( P < 5 × 10 −8 ) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 360 loci for which replication data were available, 241 loci influencing surface area and 66 influencing thickness remained significant after replication, with 237 loci passing multiple testing correction ( P < 8.3 × 10 −10 ; 187 influencing surface area and 50 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation ( r G = −0.32, SE = 0.05, P = 6.5 × 10 −12 ), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When considered together, these results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness. To identify specific genetic influences on individual cortical regions, we controlled for global measures (total surface area or average thickness) in the regional analyses. After multiple testing correction, we identified 175 loci that influence regional surface area and 46 that influence regional thickness. Loci that affect regional surface area cluster near genes involved in the Wnt signaling pathway, which is known to influence areal identity. We observed significant positive genetic correlations and evidence of bidirectional causation of total surface area with both general cognitive functioning and educational attainment. We found additional positive genetic correlations between total surface area and Parkinson’s disease but did not find evidence of causation. Negative genetic correlations were evident between total surface area and insomnia, attention deficit hyperactivity disorder, depressive symptoms, major depressive disorder, and neuroticism. CONCLUSION This large-scale collaborative work enhances our understanding of the genetic architecture of the human cerebral cortex and its regional patterning. The highly polygenic architecture of the cortex suggests that distinct genes are involved in the development of specific cortical areas. Moreover, we find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function. Identifying genetic influences on human cortical structure. ( A ) Measurement of cortical surface area and thickness from MRI. ( B ) Genomic locations of common genetic variants that influence global and regional cortical structure. ( C ) Our results support the radial unit hypothesis that the expansion of cortical surface area is driven by proliferating neural progenitor cells. ( D ) Cortical surface area shows genetic correlation with psychiatric and cognitive traits. Error bars indicate SE. IMAGE CREDITS: (A) K. COURTNEY; (C) M. R. GLASS
Etirinotecan pegol (EP) target-specific pharmacodynamic (PD) biomarkers measured in circulating tumor cells (CTCs) from patients in the phase III BEACON study in patients with metastatic breast cancer (mBC).
Hoch, Ute , Fry, Dennis G., Chia, Yen Lin , Caygill, Katie, Hannah, Alison L., Perez, Edith A. , Cortéz, Javier, O’Shaughnessy, Joyce , Twelves, Christopher , Anderes, Kenna , Davis, Darren W. , Cortez, Javier, Awada, Ahmad , Rugo, Hope S. , Im, Seock‐Ah , Xu, Binghe

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: 1087-1087

10.1200/jco.2013.31.15_suppl.1087 Get It

1087 Background: EP is a unique topoisomerase 1 inhibitor that provides continuous exposure to SN38. EP demonstrated a 29% overall response rate in patients with mBC, leading to a phase III global BEACON study in patients with mBC. CTCs in patient blood samples provide a minimally invasive approach to detect PD markers of drug activity. We developed quantitative multiplex immunofluorescent assays to measure target-specific PD biomarkers for EP in CTCs isolated pre- and post-treatment. Methods: Assays for Top1, Top2, g-H2Ax, Rad51, ABCG2, and Ki-67 were developed using control (0.1% DMSO) and drug-treated (SN38, 10 uM) tumor cell lines (HCT116, MCF7, A549, SKBr3) and PBMCs from healthy donors. The optimal antibody for each biomarker was then multiplexed in a panel with antibodies against cytokeratin, CD45 and DAPI for phenotypic identification of CTCs. For analysis of BEACON pts, serial 7.5 mL whole blood samples were drawn and shipped ambient to Apocell (Houston, TX) for further processing. PBMCs were separated and CTCs were isolated using ApoStream technology. CTCs were stained for PD markers and analyzed using an iCys laser scanning cytometer equipped with image analysis software. Results: Antibodies bound to tumor cells showed staining confined to the nucleus (Top1, Top2, g-H2AX, Ki-67) or membrane (ABCG2), exhibited defined peak separation from their isotype controls, and signal strength correlated with cellular expression of high and low levels of markers. To date, ~ 80% of BEACON pts consent to participate in the CTC sub-study. As of 30 Oct 2012, data from 167 pre-dose blood samples from BEACON pts were available. 99% of blood samples were successfully processed. 93% had detectable CTCs, yielding a median of 216 CTCs (range: 7.5-14816). Staining was positive for Top1, Top2, g-H2Ax, Rad51, ABCG2, and Ki-67 in 82%, 89%, 16%, 53%, 31%, 52% of samples, respectively. Conclusions: EP target-specific pharmacodynamic biomarkers can be reliably measured in CTCs isolated from patients participating in BEACON. Sample collection and analysis of pre- and post-treatment samples is ongoing. Clinical trial information: NCT01492101.
Enhancing the patient and family experience during pediatric sleep studies
Baughn, Julie , Lechner, Hannah G., Herold, Daniel L. , Brown, Virginia , Moore, Wendy , Harris, Cameron, Stehr, Heidi I., Sorensen, Channing, Cleveland, Eric J., Akason, James D., Lloyd, Robin M. , Baughn, Julie M, Brown, Virginia A, Moore, Wendy R, Harris, Cameron D, Sorensen, Channing M, Morgenthaler, Timothy I.

Journal of Clinical Sleep Medicine | February 17, 2020 | Volume: 16 | Issue: 7 | Pages: 1037-1043

10.5664/jcsm.8386 | PMID 32065112 Get It

The MAGIC Algorithm Probability (MAP): A Novel Laboratory Biomarker for the Response to Treatment of Acute Graft-Versus-Host Disease
Özbek, Umut , Kapoor, Urvi , Ayuk, Francis , Aziz, Mina, Ben-David, Kaitlyn , Choe, Hannah , DeFilipp, Zachariah , Etra, Aaron , Hartwell, Matthew J. , Kowalyk, Steven, Lin, Jung-Yi, Major-Monfried, Hannah , Mielke, Stephan , Morales, George , Ordemann, Rainer, Reddy, Pavan, Roesler, Wolf, Sandhu, Karamjeet , Schechter‐Finkelstein, Tal, Weber, Daniela , Wölfl, Matthias , Young, Rachel , Ferrara, James L.M. , Mielke, Stephan , Srinagesh, Hrishikesh K. , Grupp, Stephan A. , Hexner, Elizabeth O. , Hogan, William J. , Kitko, Carrie L. , Merli, Pietro , Pulsipher, Michael A. , Qayed, Muna , Reshef, Ran , Shah, Jay, Sigel, Keith Magnus , Wudhikarn, Kitsada , Levine, John E.

Blood | February 14, 2020 | Volume: 134 | Issue: Supplement_1 | Pages: 367-367

10.1182/blood-2019-122011 Get It

Systemic glucocorticoids are the principal treatment for acute graft-versus-host disease (GVHD), which remains the major cause of non-relapse mortality (NRM) after allogeneic hematopoietic cell transplantation (HCT). However, there are no validated biomarkers that measure a patient's response to glucocorticoid therapy, and thus response is evaluated by the change in clinical symptom severity. A major weakness in the predictive power of clinical responses is that changes to all organs are weighted equally even though the major driver of NRM is irreversible damage to the crypts of the GI tract. Recent studies from the Mount Sinai Acute GVHD International Consortium (MAGIC) have validated an algorithm probability (MAP) that combines serum concentrations of two biomarkers of GVHD (REG3α and ST2) to generate an estimated probability of 6 month NRM for individual patients. The MAP has been considered a "liquid biopsy" that estimates the damage caused by GVHD to crypts throughout the lower GI tract (Hartwell et al., JCI Insight, 2017; Major-Monfried et al., Blood, 2018). We hypothesized that the change in MAP between start of treatment and 28 days later could serve as a response biomarker for GVHD and might compare favorably to the change in clinical symptoms that measures response to GVHD treatment, which is widely used as a surrogate for long term survival and is the primary endpoint in most GVHD treatment trials (Martin et al., BBMT, 2009; MacMillan et al., Blood, 2010). We prospectively collected serum samples and clinical staging from 368 sequential HCT patients who received systemic treatment for acute GVHD in one of 20 MAGIC centers between January 2016 and February 2018. We measured the serum concentrations of REG3α and ST2 before and after systemic therapy for acute GVHD and computed MAPs, the changes in MAPs, and clinical responses for each patient. MAPs of patients who experienced 6 month NRM showed significantly greater increases than MAPs of patients who survived (p=0.0004). In patients whose MAPs at the start of treatment were low (Ann Arbor 1, MAP &lt; 0.141) or intermediate (Ann Arbor 2, 0.141 ≤ MAP ≤ 0.290), 6 month NRM clustered among those who had the greatest increases in MAP after 28 days (Fig 1A,B). In patients with high MAPs at the start of treatment (Ann Arbor 3, MAP &gt; 0.290), those who survived tended to have the largest decreases in MAP (Fig 1C). These changes in MAP suggested crossing a single threshold could predict risk of mortality. We found that patients whose MAPs rose above a threshold MAP of 0.290 (5% of Ann Arbor 1, 27% of Ann Arbor 2) had significantly worse survival compared to those who remained below it, whereas the large number patients with initially high MAPs that remained above the threshold (66% of Ann Arbor 3) had a large increases in mortality (Fig 2). When measured at day 28, the MAP was significantly more accurate in predicting NRM than the gold standard of the clinical response, with areas under the receiver operating characteristic curve (AUC) of 0.86 and 0.70, respectively (p&lt;0.0001). An algorithm that combined clinical response with biomarkers generated the same AUC as the MAP alone (0.83 v 0.86, p = NS). We next tested whether the same MAP threshold of 0.290 could predict risk within clinical response subsets. A significant minority (10%) of clinical responders had high MAPs and experienced three-fold greater NRM than those with low MAPs (40% v 12%, p&lt;0.0001) whereas the majority (57%) of non-responders had low MAPs and experienced almost three-fold lower NRM than those with high MAPs (24% v 65%, p&lt;0.0001) (Fig 3). Thus the MAP provides important prognostic information over and above the change in clinical symptoms, further stratifying both responders and non-responders at four weeks of treatment. The MAP threshold classified patients both with and without significant lower GI symptoms because the MAP is a more specific measure of irreversible cryptic damage in patients with copious diarrhea and more sensitive in patients with less than 0.5 liters of daily diarrhea (Fig 4). We conclude that the MAP is, to our knowledge, the first validated laboratory test to serve as response biomarker for the treatment for acute GVHD and a more accurate predictor of survival than clinical response after four weeks of treatment. The MAP may serve as a novel endpoint and an important complement to changes in clinical symptom severity in future trials of GVHD treatment. Disclosures Srinagesh: National Institutes of Health: Research Funding. Ozbek:Viracor: Patents & Royalties: Biomarker Patent. Ayuk:Novartis: Honoraria, Other: Advisory Board, Research Funding. Aziz:Doris Duke Charitable Foundation: Research Funding. Defilipp:Incyte: Research Funding. Grupp:Novartis: Consultancy, Research Funding; Roche: Consultancy; GSK: Consultancy; CBMG: Consultancy; Novartis: Research Funding; Kite: Research Funding; Servier: Research Funding; Jazz: Other: study steering committees or scientific advisory boards; Adaptimmune: Other: study steering committees or scientific advisory boards; Cure Genetics: Consultancy; Humanigen: Consultancy. Hexner:novartis: Research Funding. Kitko:Mallinckrodt: Honoraria; Novartis: Consultancy, Honoraria. Mielke:EBMT/EHA: Other: Travel support; ISCT: Other: Travel support; Miltenyi: Consultancy, Honoraria, Other: Travel and speakers fee (via institution), Speakers Bureau; Jazz Pharma: Honoraria, Other: Travel support, Speakers Bureau; IACH: Other: Travel support; Kiadis Pharma: Consultancy, Honoraria, Other: Travel support (via institution), Speakers Bureau; DGHO: Other: Travel support; Bellicum: Consultancy, Honoraria, Other: Travel (via institution); GILEAD: Consultancy, Honoraria, Other: travel (via institution), Speakers Bureau; Celgene: Honoraria, Other: Travel support (via institution), Speakers Bureau. Merli:Sobi: Consultancy; Amgen: Honoraria; Novartis: Honoraria; Bellicum: Consultancy. Pulsipher:Amgen: Other: Lecture; Miltenyi: Research Funding; Bellicum: Consultancy; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Other: Education for employees; CSL Behring: Membership on an entity's Board of Directors or advisory committees; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Medac: Honoraria. Qayed:Bristol-Myers Squibb: Honoraria. Reshef:Pfizer: Consultancy; Magenta: Consultancy; Kite: Consultancy, Research Funding; Atara: Consultancy, Research Funding; BMS: Consultancy; Pharmacyclics: Consultancy, Research Funding; Incyte: Consultancy, Research Funding; Celgene: Research Funding; Shire: Research Funding. Levine:Incyte: Consultancy, Research Funding; Biogen: Other: non-financial support; Viracor: Patents & Royalties: biomarker patent; Ironwood: Honoraria; bluebird bio: Consultancy; National Cancer Institute: Research Funding; Novartis: Honoraria; Kamada: Research Funding. Ferrara:National Institutes of Health: Research Funding; ViraCor: Consultancy; Incyte: Consultancy; Kamada: Consultancy; Mallinckrodt: Consultancy; Enlivex: Consultancy; Xenikos: Consultancy; CSL Behring: Consultancy.