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1787 citation(s) found for "Ma, Stephanie".

477: SYSTEMATIC REVIEW AND META-ANALYSIS OF MORTALITY IN CANCER PATIENTS TREATED IN INTENSIVE CARE UNITS
Nazer, Lama , Sirimaturos, Michael , Habash, Khader , Al‐Qadheeb, Nada S. , Milano, Victoria, Nates, Joseph, Brown, Anne Rain , Cuenca, John A. , López-Olivo, María A. , May, Heather P. , Taylor, Amy Grace Stephanie , Nates, Joseph L.

Critical Care Medicine | December 16, 2021 | Volume: 50 | Issue: 1 | Pages: 229-229

10.1097/01.ccm.0000808232.23200.d0 Get It

1212: FAST-TRACK EXTUBATION FOR LIVER TRANSPLANT PATIENTS ADMITTED TO ICU POSTOPERATIVELY
Villar, Dolores, Carmon, Stephanie, Lowman, Philip, Santos, Christan

Critical Care Medicine | December 16, 2021 | Volume: 50 | Issue: 1 | Pages: 606-606

10.1097/01.ccm.0000811172.56986.4e Get It

1026: PROSPECTIVE STUDY COMPARING VIRTUAL REALITY TO LIVE DEMONSTRATION FOR NEONATAL INTUBATION EDUCATION
O’Sullivan, Donnchadh , Bosley, Christopher, Stetson, Raymond C. , Mavis, Stephanie C. , Bellamkonda, Venkatesh R. , Colby, Christopher E. , Pickering, Brian, Barwise, Amelia , Dong, Yue , Pickering, Brian

Critical Care Medicine | December 16, 2021 | Volume: 50 | Issue: 1 | Pages: 511-511

10.1097/01.ccm.0000810428.57493.2b Get It

197: ESTRADIOL AND DIHYDROTESTOSTERONE LEVELS IN COVID-19 PATIENTS
Goswami, Julie , Price-Troska, Tammy, Lundell, Kaitlin, Ballinger, Beth A. , Loomis, Erica, Heller, Stephanie F. , Stephens, Daniel , Spears, Grant M. , Bailey, Kent R. , Chaudry, Irshad H. , Park, Myung, MacArthur, Taleen A. , Stephens, Daniel

Critical Care Medicine | December 16, 2021 | Volume: 50 | Issue: 1 | Pages: 82-82

10.1097/01.ccm.0000807112.17716.4d Get It

Molecular characterization of Novel ATM fusions in chronic lymphocytic leukemia and T-cell prolymphocytic leukemia
Kanagal‐Shamanna, Rashmi , Bao, Haiyan, Kearney, Hutton M. , Smoley, Stephanie A., Luthra, Rajyalakshmi , Yang, Hui , Zhang, Shanshan , Lu, Xinyan , Kearney, Hutton, Smoley, Stephanie , Kanagal-Shamanna, Rashmi , Tang, Zhenya , Lin, Pei , Wu, Depei , Medeiros, L. Jeffrey

Leukemia & Lymphoma | December 13, 2021 | Volume: 63 | Issue: 4 | Pages: 865-875

10.1080/10428194.2021.2010061 | PMID 34898335 Get It

Interactions Between Folate Intake and Genetic Predictors of Gene Expression Levels Associated with Colorectal Cancer Risk
Petersen, Paneen S., Weinstein, Stephanie J. , Figueiredo, Jane C. , Casey, Graham , Peters, Ulrike , Slattery, Martha L. , Li, Li , Gruber, Stephen B. , Woods, Michael O. , Gallinger, Steven , Berndt, Sonja I. , Nan, Hongmei , Nassir, Rami , Lindor, Noralane M. , Kim, Andrew E, Gauderman, W. James, Nassir, Rami , Nan, Hongmei , Haas, Cameron B. , Su, Yu-Ru , Wang, Xiaoliang , Bien, Stephanie A. , Lin, Yi , Albanes, Demetrius , Jenkins, Mark A. , Newcomb, Polly A. , Marchand, Loı̈c Le , Campbell, Peter T. , Moreno, Vı́ctor , Potter, John D. , Sakoda, Lori C. , Chan, Andrew T. , Giles, Graham G. , Milne, Roger L. , Rennert, Gad , Hayes, Richard B. , Huang, Wen‐Yi , Wolk, Alicja , White, Emily , Lewinger, Juan Pablo , Conti, David V. , Buchanan, Daniel D.

No container title available | December 9, 2021 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-1097039/v1 Get It

Abstract Background Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene-environment (GxE) interactions and may provide information on the underlying biological pathway. Objective We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. Methods We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based GxE approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case-control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4,839 genes with available genetically predicted expression. We meta-analyzed results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. Results We found suggestive evidence of interaction with folate intake for genes including glutathione S-Transferase Alpha 1 (GSTA1; p=4.3E-4), Tonsuko Like, DNA Repair Protein (TONSL; p=4.3E-4), and Aspartylglucosaminidase (AGA: p=4.5E-4). Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein. Conclusion We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk.
Osteogenesis Imperfecta: Primary Care
Starr, Stephanie R. , Roberts, Timothy T. , Fischer, Philip R.

Pediatrics In Review | December 9, 2021 | Volume: 31 | Issue: 8 | Pages: e54-e64

10.1542/pir.31.8.e54 Get It

Gene-mapping study of extremes of cerebral small vessel disease reveals TRIM47 as a strong candidate
Mishra, Aniket , Duplàa, Cécile , Suzuki, Hideaki , Li, Shuo , Bartz, Traci M. , Jian, Xueqiu , Zhao, Wei , Hofer, Edith , Wittfeld, Katharina , Bis, Joshua C, Adams, Hieab H.H. , Satizábal, Claudia L. , Gottesman, Rebecca F., Gampawar, Piyush , Weiß, Stefan , Yu, Miao , Lopez, Oscar L., Vernooij, Meike W. , Soumaré, Aïcha , Smith, Jennifer A. , Zhu, Yi‐Cheng , Rotter, Jerome I. , Dufouil, Carole , Maniega, Susana Muñoz , Lathrop, Mark, Boerwinkle, Erik, Schmidt, Reinhold, Ihara, Masafumi , Joutel, Anne , Tournier‐Lasserve, Elisabeth , Mosley, Thomas H. , DeCarli, Charles , Tzourio, Christophe , Kardia, Sharon L. R., Teumer, Alexander , Schmidt, Helena , Wardlaw, Joanna M. , Fornage, Myriam , Guðnason, Vilmundur , Longstreth, W.T. , Couffinhal, Thierry , Debette, Stéphanie , Zhao, Wei , Sargurupremraj, Muralidharan , DeCarli, Charles , Suzuki, Hideaki , Sargurupremraj, Muralidharan , Bülow, Robin , Weiss, Stefan , Völker, Uwe , Smith, Jennifer A , Yang, Qiong , Amouyel, Philippe , Tzourio, Christophe , Teumer, Alexander , van Duijn, Cornelia M , Matthews, Paul M , Debette, Stephanie , Wardlaw, Joanna Marguerite , Adams, Hieab H H , Satizabal, Claudia L , Rotter, Jerome I , Vojinović, Dina , Zilhäo, Nuno R. , Harris, Sarah , Auwera, Sandra Van der , Luciano, Michelle , Bis, Joshua C, Bastin, Mark E. , Beiser, Alexa , Völker, Uwe , Kacprowski, Tim , Knopman, David S. , Morris, Zoë , Hernández, Maria del Carmen Valdés , Mazoyer, Bernard , Launer, Lenore J. , Deary, Ian J. , Amouyel, Philippe , Psaty, Bruce M. , Grabe, Hans Jörgen , Duijn, Cornelia M. van , Ikram, M. Arfan , Seshadri, Sudha , Matthews, Paul M.

Brain | December 8, 2021 | Volume: 145 | Issue: 6 | Pages: 1992-2007

10.1093/brain/awab432 | PMID 35511193 Get It

Abstract Cerebral small vessel disease is a leading cause of stroke and a major contributor to cognitive decline and dementia, but our understanding of specific genes underlying the cause of sporadic cerebral small vessel disease is limited. We report a genome-wide association study and a whole-exome association study on a composite extreme phenotype of cerebral small vessel disease derived from its most common MRI features: white matter hyperintensities and lacunes. Seventeen population-based cohorts of older persons with MRI measurements and genome-wide genotyping (n = 41 326), whole-exome sequencing (n = 15 965), or exome chip (n = 5249) data contributed 13 776 and 7079 extreme small vessel disease samples for the genome-wide association study and whole-exome association study, respectively. The genome-wide association study identified significant association of common variants in 11 loci with extreme small vessel disease, of which the chr12q24.11 locus was not previously reported to be associated with any MRI marker of cerebral small vessel disease. The whole-exome association study identified significant associations of extreme small vessel disease with common variants in the 5′ UTR region of EFEMP1 (chr2p16.1) and one probably damaging common missense variant in TRIM47 (chr17q25.1). Mendelian randomization supports the causal association of extensive small vessel disease severity with increased risk of stroke and Alzheimer’s disease. Combined evidence from summary-based Mendelian randomization studies and profiling of human loss-of-function allele carriers showed an inverse relation between TRIM47 expression in the brain and blood vessels and extensive small vessel disease severity. We observed significant enrichment of Trim47 in isolated brain vessel preparations compared to total brain fraction in mice, in line with the literature showing Trim47 enrichment in brain endothelial cells at single cell level. Functional evaluation of TRIM47 by small interfering RNAs-mediated knockdown in human brain endothelial cells showed increased endothelial permeability, an important hallmark of cerebral small vessel disease pathology. Overall, our comprehensive gene-mapping study and preliminary functional evaluation suggests a putative role of TRIM47 in the pathophysiology of cerebral small vessel disease, making it an important candidate for extensive in vivo explorations and future translational work.