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236 citation(s) found for "Xu, Xiong".

Abstract B041: A phase 1 study of DS-8201a in combination with olaparib in HER2-expressing malignancies (CTEP #10355): Results of module 1 dose escalation
Hendrickson, Andrea E. Wahner , Colón‐Otero, Gerardo , Pickett, Cheryl A., Xiong, Niya , Cheng, Su–Chun, Polak, Madeline , Sawyer, Hannah , Hayes, Martin , Matulonis, Ursula A. , Konstantinopoulos, Panagiotis A. , Konstantinopoulos, Panagiotis A , Lee, Elizabeth K. , Shapiro, Geoffrey I.

Molecular Cancer Therapeutics | December 1, 2023 | Volume: 22 | Issue: 12_Supplement | Pages: B041-B041

10.1158/1535-7163.targ-23-b041 Get It

Abstract Background: DS-8201a is a HER2-targeting antibody drug conjugate with a topoisomerase 1 (top1) inhibitor payload. Preclinical evidence suggests that inhibiting PARP can potentiate top1 inhibitor-induced DNA damage and cytotoxicity. However, the clinical activity of combined top1-inhibiting chemotherapy and PARP inhibition has been limited by toxicity. We hypothesized that targeted delivery of a top1 inhibitor via DS-8201a may reduce systemic toxicity while maintaining synergistic cytotoxic activity in combination with olaparib. This combination is being investigated in the ongoing phase 1 trial CTEP #10355 (NCT04585958) in patients (pts) with advanced solid tumors expressing HER2. We present the safety analysis of pts enrolled to Module 1 (Mod 1) of dose escalation (continuous olaparib). Preliminary efficacy results are explored. Methods: Accrual was limited to pts ≥18 years old with advanced or recurrent solid tumors expressing HER2, defined as HER2 IHC ≥1+ (local testing allowed) or amplification of ERBB2 by NGS or ISH. In Mod 1, pts received DS-8201a IV once every 3 weeks and olaparib twice daily (BID) continuously in a 3+3 dose escalation design. Dose Level 1 (DL1) of Mod 1 evaluated DS-8201a dosed at 4.4mg/kg with olaparib 100mg BID Days 1-21. Dose Level 2 (DL2) of Mod 1 evaluated DS-8201a dosed at 5.4mg/kg with olaparib 100mg BID Days 1-21. The primary objective was to evaluate the safety and tolerability of combined DS-8201a + olaparib as graded by CTCAE v5. Secondary objectives include assessment of clinical activity as measured by objective response rate (ORR), clinical benefit rate (CBR; partial response [PR] + complete response [CR] + stable disease [SD] ≥6 months [mo]), median progression-free survival (PFS), and duration of response (DOR). Results: As of 30-Nov-2022, 10 pts were treated in Mod 1, with median age of 62.5 years. 10% were Asian, 10% were African American, and 80% were white. 40% had endometrial cancer and 60% had ovarian cancer. 6 of 7 pts treated on DL1 were DLT-evaluable, of which 1 patient experienced a DLT of Grade (G) 4 neutropenia. All 3 pts in DL2 were DLT-evaluable, and each experienced a DLT (2 pts with G4 febrile neutropenia, 1 pt with G4 neutropenia). Most common TRAEs in Mod 1 included: ANC decrease (60% G4, 20% G3, 20% G1/2), platelet count decrease (20% G4, 20% G3, 40% G1/2), and anemia (70% G3, 20% G1/2). All Mod 1 pts required dose holds, dose reductions, and/or discontinuation of olaparib. Of the 10 pts in Mod 1, 40% achieved a RECIST response (1 CR, 3 PR). 40% had SD lasting ≥6 mo, for a CBR of 80%. Median PFS is estimated at 7.4 mo (95% CI 4.7mo-not reached), with 7 patients alive and progression-free at 6 mo. Conclusion: Continuous dosing of olaparib in combination with DS-8201a yielded an unacceptable safety profile and dose escalation in Mod 1 was not continued. An alternative dosing schedule was initiated in Module 2 (Mod 2) evaluating DS-8201a IV every 3 weeks and olaparib BID Days 8-14; accrual to Mod 2 is ongoing. There is preliminary evidence of clinical activity of this combination. Citation Format: Elizabeth K. Lee, Andrea E. Wahner Hendrickson, Gerardo Colon-Otero, Cheryl A. Pickett, Niya Xiong, Su-Chun Cheng, Madeline Polak, Hannah Sawyer, Martin Hayes, Ursula A. Matulonis, Geoffrey I. Shapiro, Panagiotis A. Konstantinopoulos. A phase 1 study of DS-8201a in combination with olaparib in HER2-expressing malignancies (CTEP #10355): Results of module 1 dose escalation [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr B041.
Genomic epidemiology reveals the dominance of Hennepin County in the transmission of SARS-CoV-2 in Minnesota from 2020 to 2022
Scotch, Matthew , Lauer, Kimberly P., Wieben, Eric D. , Cherukuri, Yesesri , Cunningham, Julie M. , Klee, Eric W. , Harrington, Jonathan J. , Lau, Julie S., McDonough, Samantha J., Mutawe, Mark M., Rentmeester, Chad E., Schlicher, Nicole R., White, Valerie T., Schneider, Susan K., Vedell, Peter T. , Wang, Xiong , Yao, Joseph D. , Pritt, Bobbi S. , Lauer, Kimberly, Pritt, Bobbi S , Norgan, Andrew P , O’Horo, John C. , Norgan, Andrew P.

mSphere | October 26, 2023 | Volume: 8 | Issue: 6 | Pages: No page available

10.1128/msphere.00232-23 | PMID 37882516 Get It

ABSTRACT Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had an unprecedented impact on human health and highlights the need for genomic epidemiology studies to increase our understanding of virus evolution and spread and to inform policy decisions. We sequenced viral genomes from over 22,000 patient samples tested at Mayo Clinic Laboratories between 2020 and 2022 and used Bayesian phylodynamics to describe county and regional spread in Minnesota. The earliest calculated introduction into Minnesota was to Hennepin County from a domestic source around 22 January 2020; 6 weeks before the first confirmed case in the state. This led to the virus spreading to Northern Minnesota and, eventually, the rest of the state. International introductions were most abundant in Hennepin (home to the Minneapolis/St. Paul International Airport) totaling 45 (out of 107) over the 2-year period. Southern Minnesota counties were most common for domestic introductions, with 19 (out of 64), potentially driven by bordering states such as Iowa and Wisconsin as well as Illinois, which is nearby. Hennepin also was, by far, the most dominant source of in-state transmissions to other Minnesota locations ( n = 772) over the 2-year period. We also analyzed the diversity of the location source of SARS-CoV-2 viruses in each county and noted the timing of state-wide policies as well as trends in clinical cases. Neither the number of clinical cases nor the major policy decisions, such as the end of the lockdown period in 2020 or the end of all restrictions in 2021, appeared to have an impact on virus diversity across each individual county. IMPORTANCE We analyzed over 22,000 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes of patient samples tested at Mayo Clinic Laboratories during a 2-year period in the COVID-19 pandemic, which included Alpha, Delta, and Omicron variants of concern to examine the roles and relationships of Minnesota virus transmission. We found that Hennepin County, the most populous county, drove the transmission of SARS-CoV-2 viruses in the state after including the formation of earlier clades including 20A, 20C, and 20G, as well as variants of concern Alpha and Delta. We also found that Hennepin County was the source for most of the county-to-county introductions after an initial predicted introduction with the virus in early 2020 from an international source, while other counties acted as transmission “sinks.” In addition, major policies, such as the end of the lockdown period in 2020 or the end of all restrictions in 2021, did not appear to have an impact on virus diversity across individual counties.
T1 and FLAIR signal intensities are related to tau pathology in dominantly inherited Alzheimer disease
Brier, Matthew R. , Gordon, Brian A. , Flores, Shaney , Keefe, Sarah , Hornbeck, Russ C. , Ances, Beau M. , Xiong, Chengjie , Wang, Guoqiao , Raji, Cyrus A. , Libre‐Guerra, Jorge J., Perrin, Richard J. , Daniels, Alisha , Day, Gregory S. , Fulham, Michael , Jack, Clifford R. , Fougère, Christian la , Oh, Hwamee , Vöglein, Jonathan , Yakushev, Igor , Morris, John C. , (DIAN), For the Dominantly Inherited Alzheimer Network, Rahmani, Farzaneh , Cash, David M , Jack, Clifford R , Gordon, Brian A , Day, Gregory S , Vöglein, Jonathan , Xiong, Chengjie , Ances, Beau M , Morris, John C , McKay, Nicole S. , Joseph‐Mathurin, Nelly , Xiong, Chengjie , McDade, Eric , Karch, Celeste M. , Brickman, Adam M. , Reischl, Gerald , Schofield, Peter R. , Cash, David M. , Ikeuchi, Takeshi , Klunk, William E. , Bateman, Randall J. , Benzinger, Tammie L.S. , (DIAN), For the Dominantly Inherited Alzheimer Network

Human Brain Mapping | October 23, 2023 | Volume: 44 | Issue: 18 | Pages: 6375-6387

10.1002/hbm.26514 | PMID 37867465 Get It

AbstractCarriers of mutations responsible for dominantly inherited Alzheimer disease provide a unique opportunity to study potential imaging biomarkers. Biomarkers based on routinely acquired clinical MR images, could supplement the extant invasive or logistically challenging) biomarker studies. We used 1104 longitudinal MR, 324 amyloid beta, and 87 tau positron emission tomography imaging sessions from 525 participants enrolled in the Dominantly Inherited Alzheimer Network Observational Study to extract novel imaging metrics representing the mean (μ) and standard deviation (σ) of standardized image intensities of T1‐weighted and Fluid attenuated inversion recovery (FLAIR) MR scans. There was an exponential decrease in FLAIR‐μ in mutation carriers and an increase in FLAIR and T1 signal heterogeneity (T1‐σ and FLAIR‐σ) as participants approached the symptom onset in both supramarginal, the right postcentral and right superior temporal gyri as well as both caudate nuclei, putamina, thalami, and amygdalae. After controlling for the effect of regional atrophy, FLAIR‐μ decreased and T1‐σ and FLAIR‐σ increased with increasing amyloid beta and tau deposition in numerous cortical regions. In symptomatic mutation carriers and independent of the effect of regional atrophy, tau pathology demonstrated a stronger relationship with image intensity metrics, compared with amyloid pathology. We propose novel MR imaging intensity‐based metrics using standard clinical T1 and FLAIR images which strongly associates with the progression of pathology in dominantly inherited Alzheimer disease. We suggest that tau pathology may be a key driver of the observed changes in this cohort of patients.
The Human Phenotype Ontology in 2024: phenotypes around the world
Gargano, Michael , Matentzoglu, Nicolas , Coleman, Ben , Addo-Lartey, Eunice B, Anagnostopoulos, Anna V. , Anderton, Joel , Avillach, Paul , Bagley, Anita , Bakštein, Eduard , Balhoff, James P. , Baynam, Gareth , Bertram, Holli , Bishop, Somer , Bodenstein, David F. , Botas, Pablo , Cady, J , Cameron, Rhiannon , Castellanos, F , Chan, Lauren , Cruz-Rojo, Jaime , Dahan‐Oliel, Noémi , Davids, Jon R. , Dieuleveult, Maud de , Souza, Vinícius de , Vries, Bert B.A. de , Diaz‐Byrd, Claudia , Duyzend, Michael , Elfeky, Reem , Essaid, Shahim , Fabrizzi, Carolina , Freudenberg‐Hua, Yun , Gabriel, Davera , Moses, Rachel Gore , Green, Ian, Gu, Weihong, Guthrie, Julia, Hamosh, Ada , Hanauer, Marc , Hanušová, Kateřina , He, Yongqun , Helbig, Ingo , Huang, Shangzhi, Joseph, Lisa , Keramatian, Kamyar , King, Bryan , Knoflach, Katrin , Koolen, David A. , Kraus, Megan L , Kroll, Carlo , Kusters, Maaike , Ladewig, Markus S. , Lagorce, David , Laraway, Bryan , Li, Xiarong, Lucano, Caterina , Marazita, Mary L. , Martínez‐Glez, Víctor , McHenry, Toby H, McInnis, Melvin G. , Mihulová, Michaela , Millett, Caitlin E. , Moslerová, Veronika , Narutomi, Kenji, Nevado, Julián , Nierenberg, Andrew A. , Čajbiková, Nikola Novák , Ogishima, Soichi , Olson, Daniel , Ortiz, Abigail, Nanclares, Guiomar Pérez de , Peters, Amy T. , Rapp, Christina , Rath, Ana , Rekerle, Lauren , Roberts, Angharad M. , Roy, Suzy, Sanders, Stephan , Schuetz, Catharina , Schwarz, Martin , Scott, Katie , Seelow, Dominik , Seitz, Berthold , Shen, Yiping , Similuk, Morgan , Simon, Eric S. , Singh, Balwinder , Smith, Cynthia L. , Smolinsky, Jake T , Stafford, Elizabeth , Stefancsik, Ray , Steinhaus, Robin , Strawbridge, Rebecca , Sundaramurthi, Jagadish Chandrabose , Talapova, Polina , Castano, Jair A Tenorio , Tesner, Pavel , Thomas, Rhys H. , Turnovec, Marek , Gijn, Mariëlle van , Vlčková, Markéta , Walden, Anita , Ware, James S. , Wiafe, Addo A, Wiafe, Samuel Agyei , Wiggins, Lisa D. , Williams, Andrew E. , Wu, Chen , Xiong, Hui, Yalın, Nefize , Yamamoto, Yasunori , Yatham, Lakshmi N. , Yocum, Anastasia K. , Young, Allan H. , Yüksel, Zafer , Zandi, Peter P. , Zvolský, Miroslav , Carmody, Leigh , Harris, Nomi L. , Muñoz-Torres, Mónica , Daniš, Daniel , Mungall, Chris , Haendel, Melissa , Robinson, Peter N. , Gargano, Michael A , Bagley, Anita M , Bello, Susan M , Berk, Michael , Bertram, Holli , Bishop, Somer , Blau, Hannah , Bodenstein, David F , Botas, Pablo , Boztug, Kaan , Čady, Jolana , Callahan, Tiffany J , Cameron, Rhiannon , Carbon, Seth J , Castellanos, Francisco , Caufield, J Harry , Chan, Lauren E , Chute, Christopher G , Cruz-Rojo, Jaime , Dahan-Oliel, Noémi , Davids, Jon R , de Dieuleveult, Maud , de Vries, Bert B A , de Vries, Esther , DePaulo, J Raymond , Derfalvi, Beata , Dhombres, Ferdinand , Diaz-Byrd, Claudia , Dingemans, Alexander J M , Donadille, Bruno , Duyzend, Michael , Elfeky, Reem , Essaid, Shahim , Fabrizzi, Carolina , Fico, Giovanna , Firth, Helen V , Freudenberg-Hua, Yun , Fullerton, Janice M , Gilmour, Kimberly , Giordano, Jessica , Goes, Fernando , Moses, Rachel Gore , Griese, Matthias , Groza, Tudor , Guthrie, Julia , Gyori, Benjamin , Hamosh, Ada , Hanauer, Marc , Hanušová, Kateřina , He, Yongqun , Hegde, Harshad , Helbig, Ingo , Holasová, Kateřina , Hoyt, Charles Tapley , Hurwitz, Eric , Jacobsen, Julius O B , Joseph, Lisa , Keramatian, Kamyar , King, Bryan , Knoflach, Katrin , Koolen, David A , Kraus, Megan L , Kusters, Maaike , Ladewig, Markus S , Lagorce, David , Lai, Meng-Chuan , Lapunzina, Pablo , Laraway, Bryan , Lewis-Smith, David , Lucano, Caterina , Majd, Marzieh , Marazita, Mary L , Martinez-Glez, Victor , McInnis, Melvin G , McMurry, Julie A , Mihulová, Michaela , Millett, Caitlin E , Mitchell, Philip B , Moslerová, Veronika , Nematollahi, Shahrzad , Nevado, Julian , Nierenberg, Andrew A , Čajbiková, Nikola Novák , Nurnberger, John I , Ogishima, Soichi , Olson, Daniel , Ortiz, Abigail , Pachajoa, Harry , Perez de Nanclares, Guiomar , Peters, Amy T , Putman, Tim , Rath, Ana , Reese, Justin , Rekerle, Lauren , Sanders, Stephan J , Schuetz, Catharina , Schulte, Eva , Schulze, Thomas , Schwarz, Martin , Scott, Katie , Seelow, Dominik , Seitz, Berthold , Similuk, Morgan N , Simon, Eric S , Singh, Balwinder , Smedley, Damian , Smith, Cynthia L , Smolinsky, Jake T , Sperry, Sarah , Stafford, Elizabeth , Stefancsik, Ray , Steinhaus, Robin , Strawbridge, Rebecca , Sundaramurthi, Jagadish Chandrabose , Talapova, Polina , Tenorio Castano, Jair A , Tesner, Pavel , Thomas, Rhys H , Thurm, Audrey , Turnovec, Marek , van Gijn, Marielle E , Vasilevsky, Nicole A , Vlčková, Markéta , Walden, Anita , Wang, Kai , Wapner, Ron , Ware, James S , Wiafe, Samuel A , Wiggins, Lisa D , Williams, Andrew , Wyrwoll, Margot J , Yalin, Nefize , Yamamoto, Yasunori , Yatham, Lakshmi N , Yocum, Anastasia K , Young, Allan H , Yüksel, Zafer , Zandi, Peter P , Zankl, Andreas , Zarante, Ignacio , Zvolský, Miroslav , Toro, Sabrina , Carmody, Leigh C , Harris, Nomi L , Munoz-Torres, Monica C , Danis, Daniel , Mungall, Christopher J , Köhler, Sebastian , Haendel, Melissa , Robinson, Peter N , Berk, Michael , Chute, Christopher G. , Fico, Giovanna , Fullerton, Janice M. , Giordano, Jessica L. , Jiang, Xiaofeng , Lai, Meng‐Chuan , Schulte, Eva C. , Smedley, Damian , Sperry, Sarah H. , Xiong, Hui

Nucleic Acids Research | October 19, 2023 | Volume: 52 | Issue: D1 | Pages: D1333-D1346

10.1093/nar/gkad1005 | PMID 37953324 Get It

Abstract The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.
Longitudinal clinical, cognitive and biomarker profiles in dominantly inherited versus sporadic early-onset Alzheimer’s disease
Llibre‐Guerra, Jorge J. , Strom, Amelia , Gordon, Brian A. , Mundada, Nidhi S. , Tsoy, Elena , Ma, Yinjiao , Lu, Ruijin , Fagan, Anne M. , Soleimani‐Meigooni, David N. , Aschenbrenner, Andrew J. , Wang, Guoqiao , Kramer, Joel H. , Hassenstab, Jason , Rosen, Howard J. , Xiong, Chengjie , Perrin, Richard J. , Chrem, Patricio, Surace, Ezequiel , Berman, Sarah , Chhatwal, Jasmeer P. , Masters, Colin L. , Farlow, Martin R. , Xiong, Chengjie , Fox, Nick C. , Day, Gregory S. , Gorno‐Tempini, Maria Luisa , Boxer, Adam L. , Joie, Renaud La , Rabinovici, Gil D. , Morris, John C. , Gordon, Brian A , Soleimani-Meigooni, David , Aschenbrenner, Andrew J , Miller, Zachary , Schofield, Peter R , Chhatwal, Jasmeer , Masters, Colin L , Xiong, Chengjie , La Joie, Renaud , Bateman, Randall J , Day, Gregory S , Fox, Nick C , Hassenstab, Jason , Morris, John C , Llibre-Guerra, Jorge J , Rabinovici, Gil D , Berman, Sarah , Iaccarino, Leonardo , Coble, Dean, Edwards, Lauren , Li, Yán , McDade, Eric , Schindler, Suzanne E. , Benzinger, Tammie L.S. , Miller, Zachary , Miller, Bruce L. , Xiong, Chengjie , Allegri, Ricardo , Jucker, Mathias , Bateman, Randall J.

Brain Communications | October 18, 2023 | Volume: 5 | Issue: 6 | Pages: No page available

10.1093/braincomms/fcad280 | PMID 37942088 Get It

Abstract Approximately 5% of Alzheimer’s disease cases have an early age at onset (<65 years), with 5–10% of these cases attributed to dominantly inherited mutations and the remainder considered as sporadic. The extent to which dominantly inherited and sporadic early-onset Alzheimer’s disease overlap is unknown. In this study, we explored the clinical, cognitive and biomarker profiles of early-onset Alzheimer’s disease, focusing on commonalities and distinctions between dominantly inherited and sporadic cases. Our analysis included 117 participants with dominantly inherited Alzheimer’s disease enrolled in the Dominantly Inherited Alzheimer Network and 118 individuals with sporadic early-onset Alzheimer’s disease enrolled at the University of California San Francisco Alzheimer’s Disease Research Center. Baseline differences in clinical and biomarker profiles between both groups were compared using t-tests. Differences in the rates of decline were compared using linear mixed-effects models. Individuals with dominantly inherited Alzheimer’s disease exhibited an earlier age-at-symptom onset compared with the sporadic group [43.4 (SD ± 8.5) years versus 54.8 (SD ± 5.0) years, respectively, P < 0.001]. Sporadic cases showed a higher frequency of atypical clinical presentations relative to dominantly inherited (56.8% versus 8.5%, respectively) and a higher frequency of APOE-ε4 (50.0% versus 28.2%, P = 0.001). Compared with sporadic early onset, motor manifestations were higher in the dominantly inherited cohort [32.5% versus 16.9% at baseline (P = 0.006) and 46.1% versus 25.4% at last visit (P = 0.001)]. At baseline, the sporadic early-onset group performed worse on category fluency (P < 0.001), Trail Making Test Part B (P < 0.001) and digit span (P < 0.001). Longitudinally, both groups demonstrated similar rates of cognitive and functional decline in the early stages. After 10 years from symptom onset, dominantly inherited participants experienced a greater decline as measured by Clinical Dementia Rating Sum of Boxes [3.63 versus 1.82 points (P = 0.035)]. CSF amyloid beta-42 levels were comparable [244 (SD ± 39.3) pg/ml dominantly inherited versus 296 (SD ± 24.8) pg/ml sporadic early onset, P = 0.06]. CSF phosphorylated tau at threonine 181 levels were higher in the dominantly inherited Alzheimer’s disease cohort (87.3 versus 59.7 pg/ml, P = 0.005), but no significant differences were found for t-tau levels (P = 0.35). In summary, sporadic and inherited Alzheimer’s disease differed in baseline profiles; sporadic early onset is best distinguished from dominantly inherited by later age at onset, high frequency of atypical clinical presentations and worse executive performance at baseline. Despite these differences, shared pathways in longitudinal clinical decline and CSF biomarkers suggest potential common therapeutic targets for both populations, offering valuable insights for future research and clinical trial design.
Etiology of White Matter Hyperintensities in Autosomal Dominant and Sporadic Alzheimer Disease
Shirzadi, Zahra , Schultz, Stephanie A. , Yau, Wai‐Ying Wendy , Fitzpatrick, Colleen , Levin, Raina, Kantarci, Kejal , Preboske, Gregory M., Jack, Clifford R. , Farlow, Martin R. , Hassenstab, Jason , Morris, John C. , Xiong, Chengjie , Levey, Allan I. , Gordon, Brian A. , Salloway, Stephen , Perrin, Richard J. , Xiong, Chengjie , Fox, Nick C. , Goate, Alison , Day, Gregory S. , Chui, Helena C., Berman, Sarah , Mori, Hiroshi , Ruthirakuhan, Myuri , Wu, Che‐Yuan , Sohrabi, Hamid R. , Martins, Ralph N. , Johnson, Keith A. , Greenberg, Steven M. , Chhatwal, Jasmeer P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Weiner, Michael W. , Aisen, Paul, Petersen, Ronald , Jack, Clifford R., Jagust, William J. , Trojanowki, John Q., Morris, John C., Shaw, Leslie M. , Khachaturian, Zaven S., Carrillo, Maria, Potter, William Z., Bernard, Marie , Jackson, Jonathan , Masliah, Eliezer , Masterman, Donna, Okonkwo, Ozioma C. , Ryan, Laurie, Silverberg, Nina, Fleisher, Adam , Sacrey, Diana Truran, Fockler, Juliet , Conti, Cat, Jin, Chengshi , Nosheny, Rachel L. , Ashford, Miriam T. , Flenniken, Derek , Kormos, Adrienne, Montine, Tom, Raman, Rema , Jiménez, Gustavo , Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah , Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth , Sloan, Brittany, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Gunter, Jeff, Jahanshad, Neda , DeCarli, Charles, Knaack, Alexander , Chen, Stephanie Rossi, Choe, Mark, Crawford, Karen , Reiman, Eric M. , Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Franklin, Erin , Bernhardt, Haley, Taylor‐Reinwald, Lisa, Korecka, Magdalena , Figurski, Michael, Neu, Scott, Apostolova, Liana G. , Foroud, Tatiana M., Faber, Kelley, Wilmes, Kristi, Thal, Leon J., Lind, Betty, Crissey, Rachel, Carter, Raina, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Becerra, Mauricio, Teodoro, Liberty, Dagerman, Karen, Spann, Bryan M., Brewer, James B., Vanderswag, Helen, Ziolkowski, Jaimie, Heidebrink, Judith L. , Zbizek-Nulph, Lisa, Mason, Sara S., Albers, Colleen S., Johnson, Kris , Villaneuva-Meyer, Javier, Pavlik, Valory , Pacini, Nathaniel, Lamb, Ashley, Kass, Joseph S. , Doody, Rachelle S., Shibley, Victoria, Chowdhury, Munir , Rountree, Susan, Dang, Mimi, Mintz, Akiva , Winkfield, David, Carroll, Maria , Stobbs-Cucchi, Georgia , Oliver, Angela , Creech, Mary L., Mintun, Mark A., Schneider, Stacy, Geldmacher, David , Love, Marissa Natelson , Griffith, Randall, Clark, David, Brockington, John, Marson, Daniel , Grossman, Hillel, Goldstein, Martin , Mitsis, Effie, Samuels, Patricia, Duara, Ranjan , Greig‐Custo, Maria T., Rodriguez, Rosemarie, Albert, Marilyn, Onyike, Chiadi, Farrington, Leonie, Rudow, Scott, Brichko, Rottislav, Kielb, Stephanie , Smith, Amanda , Raj, Balebail Ashok, Fargher, Kristin, Shulman, Melanie , Faustin, Arline , Rao, Julia, Castro, Karen M. , Ulysse, Anaztasia, Chen, Shannon, Sheikh, Mohammed O., Singleton-Garvin, Jamika, Doraiswamy, P. Murali , Petrella, Jeffrey R. , James, Olga, Borges‐Neto, Salvador , Karlawish, Jason , Vaishnavi, Sanjeev , Clark, Christopher M. , Arnold, Steven E. , Smith, Charles D. , Khouli, Riham El , Raslau, Flavius D., Oakley, MaryAnn, Simpson, Donna M., Martin, Kim, Kowalski, Nancy, Keltz, Melanie, Goldstein, Bonnie S., Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Thai, Gaby , Pierce, Aimee, Witbracht, Megan , Mathews, Dana, Quiceno, Mary , Hajjar, Ihab , Cellar, Janet S., Swerdlow, Russell H. , Kremen, Sarah , Tingus, Kathleen, Lu, Po H. , Bartzokis, George, Woo, Ellen, Graff‐Radford, Neill R. , Parfitt, Francine, Poki-Walker, Kim, Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Mecca, Adam P. , Good, Susan P., MacAvoy, Martha G., Carson, Richard E. , Varma, Pradeep, Chertkow, Howard , Vaitekunis, Susan, Hosein, Chris, Mudge, Benita, Assaly, Michele, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Rogers, John, Grant, Ian , Muse, Brittanie, Rogalskı, Emily , Robson, Jordan, Mesulam, M.‐Marsel, Kerwin, Diana , Wu, Chuang‐Kuo, Johnson, Nancy E., Lipowski, Kristine, Weıntraub, Sandra , Bonakdarpour, Borna , Hernando, Raymundo, Sarrael, Antero, Rosen, Howard J., Johnson, Kathleen, Reynolds, Brigid, Poe, Jessica, Sperling, Reisa A., Marshall, Gad A. , Yesavage, Jerome A. , Taylor, Joy L. , Chao, Steven, Coleman, Jaila, White, Jessica D. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Belden, Christine M. , Clark, Kelly, Zamrini, Edward , Sabbagh, Marwan, Kowall, Neil W. , Budson, Andrew E. , Ntekim, Oyonumo, Wolday, Saba, Khan, Javed , Nwulia, Evaristus , Nadarajah, Sheeba , Lerner, Alan J. , Ogrocki, Paula, Tatsuoka, Curtis , Fatica, Parianne, Olichney, John , Bates, Vernice, Capote, Horacio, Rainka, Michelle, Borrie, Michael, Lee, T‐Y, Asthana, Sanjay , Carlsson, Cynthia M., Perrin, Allison, Burke, Anna , Kataki, Maria , Hart, David , Zimmerman, Earl A. , Celmins, Dzintra, Smith, Karen Ekstam, Shim, Hyungsub , Nam, Ki Won , Schtulz, Susan K., Williamson, Jeff D. , Craft, Suzanne , Cleveland, Jo, Ott, Brian R. , Drake, Jonathan, Tremont, Geoffrey , Daiello, Lori A. , Ritter, Aaron, Bernick, Charles , Munic, Donna, O’Connell, Abigail, Mintzer, Jacobo , Wiliams, Arthur, Masdeu, Joseph C. , Shi, Jiong , Garcia, Angelica, Newhouse, Paul , Salloway, Steven, Malloy, Paul, Correia, Stephen , Kittur, Smita, Blank, Karen, Anderson, Karen, Flashman, Laura A. , Seltzer, Marc, Hynes, Mary L. , Santulli, Robert B. , Relkin, Norman , Chiang, Gloria, Lee, Athena, Lin, Michael, Ravdin, Lisa , Sood, Ajay, Blanchard, Kimberly S., Fleischman, Debra , Varon, Daniel, Greig, Maria T., Martin, Kimberly S., Reist, Christopher , Sadowsky, Carl, Villena, Teresa, Rosen, Howard, Peskind, Elaine R. , Li, Gail, Vöglein, Jonathan , Méndez, Patricio Chrem, Ikonomović, Snežana, Nadkarni, Neelesh K. , Ramírez, Laura, Leon, Yudy Milena, Ramos, Cláudia , Alzate, Diana, Baena, Ana , Londono, Natalia, Laske, Christoph , Kuder-Buletta, Elke, Gräber‐Sultan, Susanne, Preische, Oliver, Hofmann, Anna, Ishii, Kenji , Senda, Michio , Riddle, Meghan C., Menard, William, Bodge, Courtney, Surti, Mustafa, Sanchez-Gonzalez, VJ, Orozco-Barajas, Maribel, Esposito, Bianca, Fernanadez, Victoria, Jerome, Gina, Herries, Elizabeth, Seyfried, Nicholas T. , Bechara, Jacob , Chen, Allison , Hantler, Nancy, Hornbeck, Russ C. , Jarman, Steve, Keefe, Sarah , Koudelis, Deborah, Massoumzadeh, Parinaz , Nicklaus, Joyce , Pulizos, Christine, Mishall, Sheetal, Sabaredzovic, Edita, Deng, Emily , Candela, Madison, Smith, Hunter , Scott, Jalen , Gremminger, Emily, Ma, Yinjiao , Bui, Ryan , Lu, Ruijin , Daniels, Alisha , Courtney, Laura, Supnet, Charlene , Xu, Jinbin , Ringman, John M. , Barthélemy, Nicolas R. , Jack, Clifford R , Gordon, Brian A , Kantarci, Kejal , Day, Gregory S , Vöglein, Jonathan , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Supnet-Bell, Charlene , Berman, Sarah , Levey, Allan I , Kremen, Sarah , Joseph‐Mathurin, Nelly , Jucker, Mathias , Xiong, Chengjie , Karch, Celeste M. , Schofield, Peter R. , McDade, Eric , Cruchaga, Carlos , Allegri, Ricardo , Koeppe, Robert A. , Chui, Helena C. , Sánchez‐Valle, Raquel , Lee, Jae‐Hong , Rosa-Neto, Pedro , Swardfager, Walter , Benzinger, Tammie L.S. , Bateman, Randall J. , Sperling, Reisa Anne , Schultz, Aaron P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Jack, Clifford R., Toga, Arthur W. , Beckett, Laurel , Green, Robert C. , Saykin, Andrew J. , Morris, John C., Barnes, Lisa L. , González, Hector, Ho, Carole , Hsiao, John , Veitch, Dallas P. , Neuhaus, John M , Rafii, Michael S. , Donohue, Michael , Smith, Stephanie R. , Harvey, Danielle , Arani, Arvin , Schwarz, Christopher G. , Jones, David T. , Senjem, Matthew L. , Vemuri, Prashanthi , Reid, Robert I. , Malone, Ian B. , Thompson, Paul M. , Thomopoulos, Sophia I. , Nir, Talia M. , Fletcher, Evan M. , Tosun, Duygu , Yushkevich, Paul A. , Das, Sandhitsu R. , Chen, Kewei , Mathis, Chet, Nho, Kwangsik T. , Risacher, Shannon L. , Shen, Li , Nudelman, Kelly , Silbert, Lisa C. , Kaye, Jeffrey , Carter, Raina, Quinn, Joseph F. , Lord, Joanne L. , Knopman, David S. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Goldstein, Martin A., Greenberg, Jonathan, Shah, Raj C. , Lamar, Melissa , Duara, Ranjan , Sadowski, Martin , Wısnıewskı, Thomas , Wong, Terence Z. , Wolk, David A. , Jicha, Gregory A. , López, Oscar L. , Porsteinsson, Anton P. , Yanez, Beatriz, Sosa, Elizabeth M. , Kelley, Brendan , Nguyen, Trung Dung , Womack, Kyle , Lah, James J. , Burns, Jeffrey M. , Brooks, William Miles , Silverman, Daniel H.S. , Teng, Edmond , Brosch, Jared R. , Black, Sandra E. , Stefanovic, Bojana , Heyn, Chris , Hsiung, Ging‐Yuek Robin , Kim, Ellen , Sossi, Vesna , Feldman, Howard , Finger, Elizabeth C. , Pasternak, Stephen , Miller, Bruce L. , Perry, David C. , Turner, Raymond Scott , MCCann, Kelly, Sperling, Reisa A., Atri, Alireza , Killiany, Ronald , Stern, Robert A. , Mez, Jesse , Obisesan, Thomas O. , Maillard, Pauline , Carmichael, Owen , Bartha, Robert , Johnson, Sterling C. , Carlsson, Cynthia M. , Scharre, Douglas W. , Tarawneh, Rawan M. , Miller, Del D. , Ponto, Laura L. Boles , Koleva, Hristina , Yang, Mia , Sink, Kaycee M. , Masdeu, Joseph C , Potkin, Steven G. , Salloway, Steve , Pearlson, Godfrey D. , Sood, Ajay, Arfanakis, Konstantinos , Varón, Daniel , Martínez, Walter Fabián , Petrie, Eric C. , Noble, James M. , Surace, Ezequiel , Lopera, Francisco Javier , Aguillon, David , Londono, Natalia, Moreno, Sonia, Ikeuchi, Takeshi , Kasuga, Kensaku , Niimi, Yoshiki , Cash, David M. , Roh, Jee Hoon , Takada, Leonel Tadao , Renton, Alan , Marsh, Jacob A. , Llibre‐Guerra, Jorge J. , Johnson, Erik C. B. , Brooks, William S. , Chen, Charles , Flores, Shaney , McCullough, Austin , McKay, Nicole S. , Wáng, Qīng , Candela, Madison, Hobbs, Diana A. , Wang, Peter , Xu, Xiong, Li, Yan , Sosa, Ana Luisa , Smith, Jennifer A.

JAMA Neurology | October 16, 2023 | Volume: 80 | Issue: 12 | Pages: 1353

10.1001/jamaneurol.2023.3618 | PMID 37843849 Get It

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P < .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P < .001]; ADNI: t = 9.1 [P < .001]; HABS: t = 5.4 [P < .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P < .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.
Investigation of sex differences in mutation carriers of the Dominantly Inherited Alzheimer Network
Wagemann, Olivia , Li, Yan , Hassenstab, Jason , Aschenbrenner, Andrew J. , Gordon, Brian A. , Xiong, Chengjie , Perrin, Richard J. , Berman, Sarah , Chhatwal, Jasmeer P. , Farlow, Martin R. , Day, Gregory S. , Mori, Hiroshi , Noble, James M. , Morris, John C. , Daniels, Alisha , Xiong, Chengjie , Network, the Dominantly Inherited Alzheimer, Vöglein, Jonathan , Gordon, Brian A , Day, Gregory S , Vöglein, Jonathan , Xiong, Chengjie , Hassenstab, Jason , Morris, John C , Aschenbrenner, Andrew J , Daniels, Alisha , Berman, Sarah , Noble, James M , McKay, Nicole S. , Benzinger, Tammie L.S. , Xiong, Chengjie , Cruchaga, Carlos , Renton, Alan , Ikeuchi, Takeshi , Jucker, Mathias , Lopera, Francisco Javier , Sánchez‐Valle, Raquel , Schofield, Peter R. , Bateman, Randall J. , McDade, Eric , Llibre‐Guerra, Jorge J. , Network, the Dominantly Inherited Alzheimer

Alzheimer's & Dementia | September 23, 2023 | Volume: 20 | Issue: 1 | Pages: 47-62

10.1002/alz.13460 | PMID 37740921 Get It

AbstractINTRODUCTIONStudies suggest distinct differences in the development, presentation, progression, and response to treatment of Alzheimer's disease (AD) between females and males. We investigated sex differences in cognition, neuroimaging, and fluid biomarkers in dominantly inherited AD (DIAD).METHODSThree hundred twenty‐five mutation carriers (55% female) and one hundred eighty‐six non‐carriers (58% female) of the Dominantly Inherited Alzheimer Network Observational Study were analyzed. Linear mixed models and Spearman's correlation explored cross‐sectional sex differences in cognition, cerebrospinal fluid (CSF) biomarkers, Pittsburgh compound B positron emission tomography (11C‐PiB PET) and structural magnetic resonance imaging (MRI).RESULTSFemale carriers performed better than males on delayed recall and processing speed despite similar hippocampal volumes. As the disease progressed, symptomatic females revealed higher increases in MRI markers of neurodegeneration and memory impairment. PiB PET and established CSF AD markers revealed no sex differences.DISCUSSIONOur findings suggest an initial cognitive reserve in female carriers followed by a pronounced increase in neurodegeneration coupled with worse performance on delayed recall at later stages of DIAD.
TP63 fusions drive multicomplex enhancer rewiring, lymphomagenesis, and EZH2 dependence
Wu, Gongwei , Yoshida, Noriaki , Liu, Jihe , Xiong, Yuan , Heavican‐Foral, Tayla B. , Mandato, Elisa , Nelson, Geoffrey M. , Yang, Lu , Chen, Renee , Jones, M. , Roshal, Mikhail , Zhang, Yanming , Xu, Ran , Jain, Salvia , Leahy, Catharine, Jones, Kristen L. , Stevenson, Kristen E. , Galasso, Natasha, Ganesan, Nivetha , Chang, Tiffany , Wu, Wenchao, Louissaint, Abner , Debaize, Lydie , Cin, Paola Dal , Chan, Wing C. , Sui, Shannan J. Ho , Ng, Samuel Y., Chen, Chun‐Wei , Weinstock, David M. , Zhang, Xiaoyang , Xiong, Yuan , Nelson, Geoffrey M , Yang, Lu , Donovan, Katherine A , Jones, Marcus K , Zhang, Yanming , Xu, Ran , Nirmal, Ajit J , Jain, Salvia , Ganesan, Nivetha , Chang, Tiffany , Dal Cin, Paola , Ho Sui, Shannan J , Feldman, Andrew L , Horwitz, Steven M , Adelman, Karen , Fischer, Eric S , Chen, Chun-Wei , Weinstock, David M , Brown, Myles , Heavican, Tayla B., Liu, Huiyun , Yoon, Hojong , Feldman, Andrew L. , Horwitz, Steven M. , Brown, Myles

Science Translational Medicine | September 20, 2023 | Volume: 15 | Issue: 714 | Pages: No page available

10.1126/scitranslmed.adi7244 | PMID 37729434 Get It

Gene fusions involving tumor protein p63 gene (TP63) occur in multiple T and B cell lymphomas and portend a dismal prognosis for patients. The function and mechanisms of TP63 fusions remain unclear, and there is no target therapy for patients with lymphoma harboring TP63 fusions. Here, we show that TP63 fusions act as bona fide oncogenes and are essential for fusion-positive lymphomas. Transgenic mice expressing TBL1XR1::TP63, the most common TP63 fusion, develop diverse lymphomas that recapitulate multiple human T and B cell lymphomas. Here, we identify that TP63 fusions coordinate the recruitment of two epigenetic modifying complexes, the nuclear receptor corepressor (NCoR)—histone deacetylase 3 (HDAC3) by the N-terminal TP63 fusion partner and the lysine methyltransferase 2D (KMT2D) by the C-terminal TP63 component, which are both required for fusion-dependent survival. TBL1XR1::TP63 localization at enhancers drives a unique cell state that involves up-regulation of MYC and the polycomb repressor complex 2 (PRC2) components EED and EZH2. Inhibiting EZH2 with the therapeutic agent valemetostat is highly effective at treating transgenic lymphoma murine models, xenografts, and patient-derived xenografts harboring TP63 fusions. One patient with TP63 -rearranged lymphoma showed a rapid response to valemetostat treatment. In summary, TP63 fusions link partner components that, together, coordinate multiple epigenetic complexes, resulting in therapeutic vulnerability to EZH2 inhibition.
Location of pathogenic variants in PSEN1 impacts progression of cognitive, clinical, and neurodegenerative measures in autosomal‐dominant Alzheimer's disease
Schultz, Stephanie A. , Shirzadi, Zahra , Liu, Lei , Fitzpatrick, Colleen , Barthélemy, Nicolas R. , Esposito, Bianca, Chen, Charles D., Goate, Alison , Berman, Sarah , Chui, Helena C., Fagan, Anne M. , Farlow, Martin R. , Fox, Nick C. , Gordon, Brian A. , Day, Gregory S. , Graff‐Radford, Neill R. , Hassenstab, Jason , Hanseeuw, Bernard , Hofmann, Anna, Levey, Allan I. , Xiong, Chengjie , Mori, Hiroshi , Morris, John C. , Perrin, Richard J. , Salloway, Stephen , Johnson, Keith A. , Chhatwal, Jasmeer P. , Investigators, the Dominantly Inherited Alzheimer Network, Vöglein, Jonathan , Liu, Lei , Gordon, Brian A , Day, Gregory S , Vöglein, Jonathan , Xiong, Chengjie , Chen, Charles D , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Berman, Sarah , Levey, Allan I , Schultz, Aaron P. , McDade, Eric , Renton, Alan , Joseph‐Mathurin, Nelly , Cruchaga, Carlos , Allegri, Ricardo , Benzinger, Tammie L.S. , Chui, Helena C. , Jack, Clifford R. , Jucker, Mathias , Karch, Celeste M. , Koeppe, Robert A. , Lee, Jae‐Hong , Martins, Ralph N. , Noble, James M. , Rosa-Neto, Pedro , Sánchez‐Valle, Raquel , Schofield, Peter R. , Xiong, Chengjie , Bateman, Randall J. , Sperling, Reisa Anne , Investigators, the Dominantly Inherited Alzheimer Network

Aging Cell | June 9, 2023 | Volume: 22 | Issue: 8 | Pages: No page available

10.1111/acel.13871 | PMID 37291760 Get It

AbstractAlthough pathogenic variants in PSEN1 leading to autosomal‐dominant Alzheimer disease (ADAD) are highly penetrant, substantial interindividual variability in the rates of cognitive decline and biomarker change are observed in ADAD. We hypothesized that this interindividual variability may be associated with the location of the pathogenic variant within PSEN1. PSEN1 pathogenic variant carriers participating in the Dominantly Inherited Alzheimer Network (DIAN) observational study were grouped based on whether the underlying variant affects a transmembrane (TM) or cytoplasmic (CY) protein domain within PSEN1. CY and TM carriers and variant non‐carriers (NC) who completed clinical evaluation, multimodal neuroimaging, and lumbar puncture for collection of cerebrospinal fluid (CSF) as part of their participation in DIAN were included in this study. Linear mixed effects models were used to determine differences in clinical, cognitive, and biomarker measures between the NC, TM, and CY groups. While both the CY and TM groups were found to have similarly elevated Aβ compared to NC, TM carriers had greater cognitive impairment, smaller hippocampal volume, and elevated phosphorylated tau levels across the spectrum of pre‐symptomatic and symptomatic phases of disease as compared to CY, using both cross‐sectional and longitudinal data. As distinct portions of PSEN1 are differentially involved in APP processing by γ‐secretase and the generation of toxic β‐amyloid species, these results have important implications for understanding the pathobiology of ADAD and accounting for a substantial portion of the interindividual heterogeneity in ongoing ADAD clinical trials.
Hypomethylation and Overexpression of Th17-Associated Genes is a Hallmark of Intestinal CD4+ Lymphocytes in Crohn’s Disease
Neto, Manuel B. Braga , Xiong, Yuning, Bhagwate, Adytia V, Gibbons, Hunter R. , Sagstetter, Mary R., Hamdan, Feda H. , Baheti, Saurabh , Friton, Jessica, Nair, Asha, Ye, Zhenqing, Faubion, William A. , Braga Neto, Manuel B , Sun, Zhifu

Journal of Crohn's and Colitis | June 8, 2023 | Volume: 17 | Issue: 11 | Pages: 1847-1857

10.1093/ecco-jcc/jjad093 | PMID 37280154 Get It

Abstract Background The development of Crohn’s disease [CD] involves immune cell signalling pathways regulated by epigenetic modifications. Aberrant DNA methylation has been identified in peripheral blood and bulk intestinal tissue from CD patients. However, the DNA methylome of disease-associated intestinal CD4+ lymphocytes has not been evaluated. Materials and Methods Genome-wide DNA methylation sequencing was performed from terminal ileum CD4+ cells from 21 CD patients and 12 age- and sex-matched controls. Data were analysed for differentially methylated CpGs [DMCs] and methylated regions [DMRs]. Integration was performed with RNA-sequencing data to evaluate the functional impact of DNA methylation changes on gene expression. DMRs were overlapped with regions of differentially open chromatin [by ATAC-seq] and CCCTC-binding factor [CTCF] binding sites [by ChIP-seq] between peripherally derived Th17 and Treg cells. Results CD4+ cells in CD patients had significantly increased DNA methylation compared to those from the controls. A total of 119 051 DMCs and 8113 DMRs were detected. While hypermethylated genes were mostly related to cell metabolism and homeostasis, hypomethylated genes were significantly enriched within the Th17 signalling pathway. The differentially enriched ATAC regions in Th17 cells [compared to Tregs] were hypomethylated in CD patients, suggesting heightened Th17 activity. There was significant overlap between hypomethylated DNA regions and CTCF-associated binding sites. Conclusions The methylome of CD patients shows an overall dominant hypermethylation yet hypomethylation is more concentrated in proinflammatory pathways, including Th17 differentiation. Hypomethylation of Th17-related genes associated with areas of open chromatin and CTCF binding sites constitutes a hallmark of CD-associated intestinal CD4+ cells.