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332 citation(s) found for "Jacobs, C".

Feed-forward, feed-back, and distributed feature representation during visual word recognition revealed by human intracranial neurophysiology
Long, Laura, Yang, Minda, Kriegeskorte, Nikolaus , Jacobs, Joshua , Sperling, Michael R. , Sharan, Ashwini , Burks, Alexis, Gross, Robert A. , Sheth, Sameer A. , Gorniak, Richard , Wanda, Paul A., Kahana, Michael J. , Mesgarani, Nima , Sperling, Michael R , Long, Laura, Remez, Robert E. , Lega, Bradley Charles , Burks, Alexis, Worrell, Gregory A. , Jobst, Barbara C. , Davis, Kathryn A. , Zaghloul, Kareem A. , Stein, Joel M. , Das, Sandhitsu R.

No container title available | October 26, 2020 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-95141/v1 Get It

Abstract Scientists debate where, when, and how different visual, orthographic, lexical, and semantic features are involved in visual word recognition. In this study, we investigate intracranial neurophysiology data from 151 patients engaged in reading single words. Using representational similarity analysis, we characterize the neural representation of a hierarchy of word features across the entire cerebral cortex. We find evidence of both feed-forward and feedback processing, with early representation of visual and lexical information in lingual gyrus followed by lexical representation in fusiform gyrus and semantic sensitivity in inferior frontal gyrus, with letter representation emerging later in fusiform gyrus. Furthermore, we observed a variety of anatomically heterogeneous temporal response shapes, and these functional populations had significant feature sensitivity. Taken together, our results demonstrate the early influence of lexical, phonological, and semantic features in visual word recognition and reveal feed-forward, feed-back, and anatomically distributed processing mechanisms that contribute to visual word recognition.
Mendelian Randomization Analysis of n-6 Polyunsaturated Fatty Acid Levels and Pancreatic Cancer Risk
Ghoneim, Dalia, Zhu, Jingjing , Murff, Harvey J. , Ye, Fei , Khankari, Nikhil K. , Haycock, Philip , Antwi, Samuel O. , Yang, Yaohua , Arslan, Alan A. , Bracci, Paige M. , Du, Mengmeng , Gallinger, Steven , Goodman, Phyllis J. , Scélo, Ghislaine , Visvanathan, Kala , Andreotti, Gabriella , Babić, Ana , Berndt, Sonja I. , Brennan, Paul , Bueno‐de‐Mesquita, Bas , Buring, Julie E. , Rabe, Kari G. , Duggal, Priya , Fuchs, Charles S. , Gaziano, J. Michael , Hackert, Thilo , Hassan, Manal M. , Helzlsouer, Kathy J. , Holly, Elizabeth A. , Hoover, Robert N. , Katske, Verena, Kurtz, Robert C. , Lee, I‐Min , Murphy, Neil , Oberg, Ann L. , Porta, Miquel , Rothman, Nathaniel , Sesso, Howard D. , Wactawski‐Wende, Jean , Wentzensen, Nicolas , Wolpin, Brian M. , Jacobs, Eric J. , Petersen, Gloria M. , Stolzenberg-Solomon, Rachel Z., Wu, Lang , Haycock, Philip , Arslan, Alan A , Canzian, Federico , Giles, Graham G , Visvanathan, Kala , Bamlet, William R , Brennan, Paul , Chaffee, Kari G. , Hackert, Thilo , Katzke, Verena , Malats, Nuria , Milne, Roger L , Oberg, Ann L , Sesso, Howard D , Wactawski-Wende, Jean , Yu, Herbert , Duell, Eric J , Amundadottir, Laufey , Klein, Alison P , Antwi, Samuel O , Murphy, Neil , Porta, Miquel , Duggal, Priya , Zheng, Wei , Long, Jirong , Setiawan, Veronica Wendy , Wilkens, Lynne R. , Freeman, Laura E. Beane , Canzian, Federico , Giles, Graham G. , Kooperberg, Charles , Marchand, Loı̈c Le , Neale, Rachel Ε. , White, Emily , Albanes, Demetrius , Amiano, Pilar , Bamlet, William R. , Brais, Lauren K , Campbell, Peter T. , Chanock, Stephen Jacob , Goggins, Michael , Malats, Núria , Milne, Roger L. , Rothman, Nathaniel , Silverman, Debra T. , Thompson, Ian M. , Wang, Xiaoliang , Yu, Kai , Zeleniuch‐Jacquotte, Anne , Duell, Eric J. , Risch, Harvey A. , Ámundadóttir, Laufey T. , Kraft, Peter , Klein, Alison P. , Shu, Xiao‐Ou , Yang, Yaohua

Cancer Epidemiology, Biomarkers & Prevention | September 23, 2020 | Volume: 29 | Issue: 12 | Pages: 2735-2739

10.1158/1055-9965.epi-20-0651 | PMID 32967863 Get It

Abstract Background: Whether circulating polyunsaturated fatty acid (PUFA) levels are associated with pancreatic cancer risk is uncertain. Mendelian randomization (MR) represents a study design using genetic instruments to better characterize the relationship between exposure and outcome. Methods: We utilized data from genome-wide association studies within the Pancreatic Cancer Cohort Consortium and Pancreatic Cancer Case–Control Consortium, involving approximately 9,269 cases and 12,530 controls of European descent, to evaluate associations between pancreatic cancer risk and genetically predicted plasma n-6 PUFA levels. Conventional MR analyses were performed using individual-level and summary-level data. Results: Using genetic instruments, we did not find evidence of associations between genetically predicted plasma n-6 PUFA levels and pancreatic cancer risk [estimates per one SD increase in each PUFA-specific weighted genetic score using summary statistics: linoleic acid odds ratio (OR) = 1.00, 95% confidence interval (CI) = 0.98–1.02; arachidonic acid OR = 1.00, 95% CI = 0.99–1.01; and dihomo-gamma-linolenic acid OR = 0.95, 95% CI = 0.87–1.02]. The OR estimates remained virtually unchanged after adjustment for covariates, using individual-level data or summary statistics, or stratification by age and sex. Conclusions: Our results suggest that variations of genetically determined plasma n-6 PUFA levels are not associated with pancreatic cancer risk. Impact: These results suggest that modifying n-6 PUFA levels through food sources or supplementation may not influence risk of pancreatic cancer.
Abstract CT160: The integration of PD1 blockade with epigenetic therapy is highly active and safe in heavily treated patients with T-cell lymphoma
Marchi, Enrica , Sawas, Ahmed , Deng, Changchun , Whitfield, Kareema T., Klein, Sandra E. , Matthew, Matthew V., Loffredo, Freedy J., Scotto, Luigi , Lee, Hye‐Jung , Kim, Hye A., Jacobs, Alice T., Rada, Aishling M., Khan, Karen, Salvia, Salvia, Lister, John , Benanni, Nora N, Francescone, Mark A., Kim, Won-Seog, O’Connor, Owen A. , Ma, Helen , Montanari, Francesca , Lue, Jennifer Kimberly , Klein, Sandra, Salvia, Salvia, Zinzani, Pier Luigi

Cancer Research | September 4, 2020 | Volume: 80 | Issue: 16_Supplement | Pages: CT160-CT160

10.1158/1538-7445.am2020-ct160 Get It

Abstract Our group has demonstrated that combinations of epigenetic modifiers produce potent synergy in pre-clinical models of PTCL, and has confirmed this data in early phase clinical studies. We showed that the combination of romidepsin and hypomethylating agents, decitabine or azacytidine, uniquely induces the expression of genes, including cancer testis antigens, gamma interferon and endogenous retrovirus. We are conducting a phase 1 study of pembrolizumab combined with pralatrexate alone (Arm A), with pralatrexate + decitabine (Arm B), or decitabine alone (Arm C) in patients with peripheral T-cell lymphoma (PTCL) and cutaneous T-cell lymphoma. In addition, we are conducting a Phase 1/2A study of durvalumab combined with oral 5-azacitidine + romidepsin (Arm A), pralatrexate + romidepsin (Arm B), romidepsin (Arm C), or oral 5-azacitidine (Arm D) in patients with PTCL. Patient characteristics are listed in Table 1. We have treated a total of 12 patients across the 2 trials and 4 different Arms including pralatrexate plus pembrolizumab (3 patients), pralatrexate, decitabine and pembrolizumab (3 patients), decitabine and pembrolizumab (3 patients) and azacytidine, romidepsin and durvalumab (3 patients). Twelve patients out of 12 received at least one dose of drug and were evaluable for toxicity. There was a dose limiting toxicity (DLT) for each arm including prolonged grade 3 thrombocytopenia, febrile neutropenia, grade 3 hyponatremia and rash, and cytokine release syndrome, respectively. There were no treatment-related deaths. Eight patients out of 12 are evaluable for response at the time of this analysis. Three out of 8 patients achieved a complete remission, 3 out of 8 patients had a partial remission, and 2 out of 8 patients experienced progression of disease. Interestingly, all of the responses were seen in the triple combination of pralatrexate, decitabine, pembrolizumab and azacytidine, romidepsin and durvalumab. These preliminary clinical data suggest that the addition of immune-checkpoint inhibitors on an epigenetic backbone is safe and demonstrates encouraging responses in patient with PTCL and CTCL. These trials are registered at www.clinicaltrials.gov (NCT03240211, NCT03161223). Patient characteristics (n=12)Median age (range)68 (26-77)Sex, n (%) Male Female6 (50) 6 (50)Race, n (%)White/Non-Hispanic White/Hispanic Black Asian Unknown5 (42) 1 (8) 3 (25) 1 (8) 2 (17)Histology, n (%) PTCL, NOS AITL Mycosis Fungoides PTCL, NOS TFH ATLL Sezary Syndrome ALCL, ALK+2 (17) 2 (17) 2 (17) 1 (8) 1 (8) 1 (8) 1 (8)Stage at diagnosis IB II III IV Unknown1 (8) 2 (17) 3 (25) 4 (33) 2 (17)Median number of prior therapies (range) **2 unknown3 (0-5) Citation Format: Enrica Marchi, Helen Ma, Francesca Montanari, Ahmed Sawas, Jennifer K. Lue, Changchun Deng, Kareema T. Whitfield, Sandra Klein, Matthew V. Matthew, Freedy J. Loffredo, Luigi Scotto, Hyejung Lee, Hye A. Kim, Alice T. Jacobs, Aishling M. Rada, Karen A. Khan, Salvia Salvia, John Lister, Nora N. Benanni, Mark A. Francescone, Pier Luigi Zinzani, Wonseog Kim, Owen A. O'Connor. The integration of PD1 blockade with epigenetic therapy is highly active and safe in heavily treated patients with T-cell lymphoma [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT160.
Abstract 1213: Genome-wide interaction scan identifies gene by smoking interaction at 2q21.3 for pancreatic cancer risk
Kundu, Prosenjit , Wheeler, William , Li, Donghui , Jacobs, Eric J. , Petersen, Gloria M. , Wolpin, Brian M. , Chatterjee, Nilanjan , consortia, The PanScan and Panc4, Mocci, Evelina , Ámundadóttir, Laufey T. , Risch, Harvey A. , Kraft, Peter , Klein, Alison P. , Stolzenberg‐Solomon, Rachael Z. , consortia, The PanScan and Panc4

Cancer Research | September 3, 2020 | Volume: 80 | Issue: 16_Supplement | Pages: 1213-1213

10.1158/1538-7445.am2020-1213 Get It

Abstract Introduction: Pancreatic cancer is the seventh leading cause of cancer death worldwide with pancreatic ductal adenocarcinoma (PDAC) being the most common subtype (>90%). Inherited genetic changes and cigarette smoking are established independent risk factors of PDAC. Methods: We conducted a genome-wide gene by smoking interaction analysis of PDAC risk among 7,937 PDAC cases and 12,389 controls of European ancestry from the Pancreatic Cancer Cohort (PanScan) and Pancreatic Cancer Case-Control Consortia (PanC4) with complete genotyping and smoking data. Over 6,769,447 SNPs met our inclusion criteria of imputation score >0.5 and MAF >0.05 after imputation to phase 3 1000G and were included in our analysis. We evaluated the gene-environment interactions using the empirical Bayes method which allows data-adaptive relaxation of the gene-environment independence assumption. The logistic regression model was adjusted for age, sex, top principal components for each phase, study and study region (PanScan only). The analysis was conducted separately for the PanScan and PanC4 GWAS studies, using a score test to efficiently incorporate expected SNP dosages. The estimates were then combined using a fixed-effect meta-analysis. We examined expression quantitative trait locus using data from the NIH Genotype-Tissue Expression (GTEx) database. We considered a P-value < 5.0 × 10−8 statistically significant. Results: We found a genome-wide significant qualitative interaction with the SNP rs1818613 by smoking status (P-value <5 × 10−9) where, compared to the G allele, the T allele was associated with a reduced risk PDAC in never smokers (per T allele OR, 0.87; 95% CI, 0.82-0.93), had no association in former smokers (OR, 1.00; 95% CI, 0.91-1.07) and was associated with an increased risk in current smokers (OR, 1.25; 95% CI, 1.12-1.40). This SNP is located on chromosome 2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) gene and upstream of the cyclin T2 (CCNT2) gene. More than 40 additional SNPs within 100Kbp and in high LD (r2 > 0.8) with rs1818613 provided significant evidence of interaction by smoking status for PDAC risk. rs1818613 was associated with differential expression of TMEM163 in several tissues: for T allele compared with the G allele there was increased expression in the heart, pituitary, whole blood, and esophagus-muscularis and decreased expression in the testis tissues (P-value < 3 × 10−11). It was also associated with decreased CCNT2 expression in the tibial nerve tissue (P-value = 1.9 × 10−9). Conclusions: Our work supports that the genetic variation in the region, in conjunction with cigarette smoking, influences PDAC risk. Future studies are needed to explore this association in other smoking-related cancers and to understand the biological mechanism of such association. Citation Format: Prosenjit Kundu, Evelina Mocci, William Wheeler, Laufey T. Amundadottir, Donghui Li, Eric J. Jacobs, Gloria M. Petersen, Brian M. Wolpin, Harvey A. Risch, Peter Kraft, Nilanjan Chatterjee, Alison P. Klein, Rachael Z. Stolzenberg-Solomon, The PanScan and Panc4 consortia. Genome-wide interaction scan identifies gene by smoking interaction at 2q21.3 for pancreatic cancer risk [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1213.
Early Impact of the COVID-19 Pandemic on Congenital Heart Surgery Programs Across the World: Assessment by a Global Multi-Societal Consortium
Protopapas, Eleftherios , Rito, Mauro Lo , Vida, Vladimiro L. , Sarris, George E. , Tchervenkov, Christo I., Tobota, Zdzisław, Zheleva, Bistra , Jacobs, Jeffrey P. , Stephens, Elizabeth H. , Tweddell, James S., Sandoval, Néstor , Bacha, Emile , Austin, Erle H. , Sakamoto, Kisaburo , Kurosawa, Hiromi, Halees, Zohair Y. Al, Jatene, Marcelo Biscegli , Lee, Cheul , Sharma, Rajesh , Hirata, Yasutaka , Cervantes, Jorge , O’Brien, James E. , Louis, James St., Taskforce, The COVID-19 International Congenital Heart Surgery, Jacobs, Jeffery P , Sandoval, Nestor F , Talwar, Sachin , Zheleva, Bistra , Maruszewski, Bohdan , Zhang, Hao , Dearani, Joseph A. , Iyer, Krishna Subramony , Edwin, Frank , Cervantes, Jorge L., Kirklin, James K. , Taskforce, The COVID-19 International Congenital Heart Surgery

World Journal for Pediatric and Congenital Heart Surgery | August 26, 2020 | Volume: 11 | Issue: 6 | Pages: 689-696

10.1177/2150135120949462 | PMID 32844725 Get It

The coronavirus disease 2019 (COVID-19) pandemic currently gripping the globe is impacting the entire health care system with rapidly escalating morbidities and mortality. Although the infectious risk to the pediatric population appears low, the effects on children with congenital heart disease (CHD) remain poorly understood. The closure of congenital heart surgery programs worldwide to address the growing number of infected individuals could have an unintended impact on future health for COVID-19-negative patients with CHD. Pediatric and congenital heart surgeons, given their small numbers and close relationships, are uniquely positioned to collectively assess the impact of the pandemic on surgical practice and care of children with CHD. We present the results of an international survey sent to pediatric and congenital heart surgeons characterizing the early impact of COVID-19 on the care of patients with CHD.
Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk
Petersen, Paneen S., Schmit, Stephanie L. , Drew, David A. , Berndt, Sonja I. , Brenner, Hermann , Casey, Graham , Chang‐Claude, Jenny , Gallinger, Steven , Gruber, Stephen B. , Haile, Robert W. , Harrison, Tabitha A. , Hoffmeister, Michael , Jacobs, Eric J. , Joshi, Amit D. , Li, Li , Lindor, Noralane M. , Martín, Vicente , Maclnnis, Robert J., Moreno, Vı́ctor , Nan, Hongmei , Rennert, Gad , Slattery, Martha L. , Thibodeau, S. N., Weinstein, Stephanie J. , Woods, Michael O. , Peters, Ulrike , Brenner, Hermann , Rennert, Gad , Drew, David A , Brenner, Hermann , Gruber, Stephen B , Haile, Robert W , Harrison, Tabitha A , Hoffmeister, Michael , Martín, Vicente , Milne, Roger L , Maclnnis, Robert , Moreno, Victor , Potter, John D , Rennert, Gad , Slattery, Martha L , Thibodeau, Steve N, Weinstein, Stephanie J , Rennert, Gad , Brenner, Hermann , Nan, Hongmei , Wang, Xiaoliang , Su, Yu-Ru , Bien, Stephanie A. , Albanes, Demetrius , Campbell, Peter T. , Jenkins, Mark A. , Lin, Yi , Marchand, Loı̈c Le , Milne, Roger L. , Newcomb, Polly A. , Potter, John D. , Chan, Andrew T. , White, Emily , Hsu, Li

Cancer Epidemiology, Biomarkers & Prevention | July 10, 2020 | Volume: 29 | Issue: 9 | Pages: 1800-1808

10.1158/1055-9965.epi-19-1018 | PMID 32651213 Get It

Abstract Background: Regular use of nonsteroidal anti-inflammatory drugs (NSAID) is associated with lower risk of colorectal cancer. Genome-wide interaction analysis on single variants (G × E) has identified several SNPs that may interact with NSAIDs to confer colorectal cancer risk, but variations in gene expression levels may also modify the effect of NSAID use. Therefore, we tested interactions between NSAID use and predicted gene expression levels in relation to colorectal cancer risk. Methods: Genetically predicted gene expressions were tested for interaction with NSAID use on colorectal cancer risk among 19,258 colorectal cancer cases and 18,597 controls from 21 observational studies. A Mixed Score Test for Interactions (MiSTi) approach was used to jointly assess G × E effects which are modeled via fixed interaction effects of the weighted burden within each gene set (burden) and residual G × E effects (variance). A false discovery rate (FDR) at 0.2 was applied to correct for multiple testing. Results: Among the 4,840 genes tested, genetically predicted expression levels of four genes modified the effect of any NSAID use on colorectal cancer risk, including DPP10 (PG×E = 1.96 × 10−4), KRT16 (PG×E = 2.3 × 10−4), CD14 (PG×E = 9.38 × 10−4), and CYP27A1 (PG×E = 1.44 × 10−3). There was a significant interaction between expression level of RP11-89N17 and regular use of aspirin only on colorectal cancer risk (PG×E = 3.23 × 10−5). No interactions were observed between predicted gene expression and nonaspirin NSAID use at FDR < 0.2. Conclusions: By incorporating functional information, we discovered several novel genes that interacted with NSAID use. Impact: These findings provide preliminary support that could help understand the chemopreventive mechanisms of NSAIDs on colorectal cancer.
Chronic fluoxetine or ketamine treatment differentially affects brain energy homeostasis which is not exacerbated in mice with trait suboptimal mitochondrial function
Emmerzaal, Tim L. , Jacobs, Leah, Geenen, Bram , Verweij, Viviènne, Kozicz, Tamás , Kozicz, Tamas , Morava, Éva , Rodenburg, Richard

European Journal of Neuroscience | July 9, 2020 | Volume: 53 | Issue: 9 | Pages: 2986-3001

10.1111/ejn.14901 | PMID 32644274 Get It

Abstract Antidepressants have been shown to influence mitochondrial function directly, and suboptimal mitochondrial function (SMF) has been implicated in complex psychiatric disorders. In the current study, we used a mouse model for trait SMF to test the hypothesis that chronic fluoxetine treatment in mice subjected to chronic stress would negatively impact brain bioenergetics, a response that would be more pronounced in mice with trait SMF. In contrast, we hypothesized that chronic ketamine treatment would positively impact mitochondrial function in both WT and mice with SMF. We used an animal model for trait SMF, the Ndufs4 GT/GT mice, which exhibit 25% lower mitochondrial complex I activity. In addition to antidepressant treatment, mice were subjected to chronic unpredictable stress (CUS). This paradigm is widely used to model complex behaviours expressed in various psychiatric disorders. We assayed several physiological indices as proxies for the impact of chronic stress and antidepressant treatment. Furthermore, we measured brain mitochondrial complex activities using clinically validated assays as well as established metabolic signatures using targeted metabolomics. As hypothesized, we found evidence that chronic fluoxetine treatment negatively impacted brain bioenergetics. This phenotype was, however, not further exacerbated in mice with trait SMF. Ketamine did not have a significant influence on brain mitochondrial function in either genotype. Here we report that trait SMF could be a moderator for an individual's response to antidepressant treatment. Based on these results, we propose that in individuals with SMF and comorbid psychopathology, fluoxetine should be avoided, whereas ketamine could be a safer choice of treatment.
Sex effects across the lifespan in women with multiple sclerosis
Krysko, Kristen M. , Bernard, Jacqueline , Bonavita, Simona , Bove, Riley , Clerico, Marinella , Corona, Teresa , Doshi, Anisha , Jacobs, Dina , Landi, Doriana , Llamosa, Gloria , Longbrake, Erin E. , Marta, Mónica , Shah, Suma , Walt, Anneke van der , Voskuhl, Rhonda R. , Wang, Yujie , Zabad, Rana , Zeydan, Burcu , Houtchens, Maria K. , van der Walt, Anneke , Hellwig, Kerstin , Zeydan, Burcu , Longbrake, Erin E , Krysko, Kristen M , Graves, Jennifer , Dobson, Ruth , Altıntaş, Ayşe , Amato, Maria Pia , Cavalla, Paola , Fragoso, Yára Dadalti , Jokubaitis, Vilija , Maillart, Elisabeth , Midaglia, Luciana Soledad , Tintoré, Mar

Therapeutic Advances in Neurological Disorders | July 1, 2020 | Volume: 13 | Issue: No issue available | Pages: No page available

10.1177/1756286420936166 | PMID 32655689 Get It

Multiple sclerosis (MS) is an autoimmune inflammatory demyelinating central nervous system disorder that is more common in women, with onset often during reproductive years. The female:male sex ratio of MS rose in several regions over the last century, suggesting a possible sex by environmental interaction increasing MS risk in women. Since many with MS are in their childbearing years, family planning, including contraceptive and disease-modifying therapy (DMT) counselling, are important aspects of MS care in women. While some DMTs are likely harmful to the developing fetus, others can be used shortly before or until pregnancy is confirmed. Overall, pregnancy decreases risk of MS relapses, whereas relapse risk may increase postpartum, although pregnancy does not appear to be harmful for long-term prognosis of MS. However, ovarian aging may contribute to disability progression in women with MS. Here, we review sex effects across the lifespan in women with MS, including the effect of sex on MS susceptibility, effects of pregnancy on MS disease activity, and management strategies around pregnancy, including risks associated with DMT use before and during pregnancy, and while breastfeeding. We also review reproductive aging and sexual dysfunction in women with MS.