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2815 citation(s) found for "Nuño, Laura".

Comprehensive analysis of prognostic factors in myelodysplastic syndromes with isolated deletion of chromosome 5q
Navarro, Vı́ctor , Haferlach, Claudia, Chan, Onyee , Schulz, Felicitas , Briski, Robert , Al-Ali, Najla, Xicoy, Blanca , Lopez-Cadenas, Felix, Bosch, Francesc, Aguilera, Anna, Meggendorfer, Manja , Eder, Lea Naomi, Jérez, Andrés, Betz, Beate, Kewan, Tariq, Zindel, C., Al‐Kali, Aref , Platzbecker, Uwe, Haase, Detlef Thomas, Zeidan, Amer M., Fenaux, Pierre, Garcia-Manero, Guillermo, Germing, Ulrich, Maciejewski, Jaroslaw P., Haferlach, T, Montoro, Maria Julia , Navarro, Víctor , Chan, Onyee , Kubota, Yasuo , Briski, Robert , Xicoy, Blanca , Romero, Anna Aguilera , Campagna, Alessia , Lanino, Luca , Santini, Valeria , Bernal, Teresa , Such, Esperanza , Platzbecker, Anne Sophie , Gurnari, Carmelo , Zindel, Carla , Kulasekararaj, Austin , Voso, Maria Teresa , Sekeres, Mikkael A , Venugopal, Sangeetha , Al-Kali, Aref , Diez-Campelo, Maria , Wiseman, Daniel H , Della Porta, Matteo Giovanni , Komrokji, Rami S , Solé, Francesc , Palomo, Laura , Valcárcel, David , Acha, Pamela , Haferlach, Claudia , Al‐Ali, Najla, Cadenas, Félix López , Bosch, Francesc, Jerez, Andrés , Wang, Y C , Campagna, Alessia , Lanino, Luca , Santini, Valeria , Gurnari, Carmelo , Kulasekararaj, Austin , Voso, Maria Teresa , Sekeres, Mikkael A. , Varela, Nicolas A Diaz , Platzbecker, Uwe , Haase, Detlef, Zeidan, Amer M. , Fenaux, Pierre , Díez‐Campelo, María , Garcia‐Manero, Guillermo , Wiseman, Daniel H. , Germing, Ulrich , Maciejewski, Jaroslaw P. , Komrokji, Rami S. , Solé, Françesc , Haferlach, Torsten , Valcárcel, David

Blood Advances | July 17, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1182/bloodadvances.2026020633 | PMID 42466989 Get It

Myelodysplastic syndromes with isolated deletion of chromosome 5q [MDS-del(5q)] constitute a distinct biological entity traditionally associated with favorable outcomes, although up to one quarter of patients progress to acute myeloid leukemia (AML). Existing prognostic models, developed in heterogeneous MDS populations, may not adequately capture risk within this subgroup. We assembled an international cohort of 682 patients with MDS-del(5q) to evaluate the performance of the IPSS-R and IPSS-M, identify prognostic variables, and develop a disease-specific prognostic tool, the IPSS-del(5q). Most patients were classified as lower-risk by IPSS-R (94.4%) and IPSS-M (85.5%), yet both systems showed limited discriminatory ability (C-indices ≈0.5). Independent adverse prognostic factors included age ≥70 years, male sex, anemia (hemoglobin ≤10 g/dL), thrombocytopenia (platelets ≤100×10⁹/L), the presence of one additional chromosomal abnormality, ≥2 gene mutations, SF3B1 mutations, and high-risk TP53 status. Six variables were included in the IPSS-del(5q), stratifying patients into standard-risk (74.3%) and high-risk (25.7%) groups with significantly different LFS (69.2 vs. 32.0 months; p<0.01). Moreover, this model reclassified 19.1% of lower-risk IPSS-R and 14.6% of lower-risk IPSS-M patients into the high-risk IPSS-del(5q) group. However, its discriminative power remained modest, with a C-index of 0.60. Overall, this study provides the most comprehensive prognostic evaluation of MDS-del(5q) to date, demonstrates the limited discriminatory capacity of existing MDS scores in this entity, and underscores the need to develop refined disease-specific prognostic approaches for this MDS subtype.
Impact of a Multi-pronged Antimicrobial Stewardship Intervention on Antibiotic Prescribing for Pediatric Acute Bacterial Rhinosinusitis
Dinnes, Laura, Rajapakse, Nipunie, Gault, Kourtney, Li, Guyu , Dinnes, Laura , Rajapakse, Nipunie

Antimicrobial Stewardship & Healthcare Epidemiology | July 17, 2026 | Volume: 6 | Issue: S1 | Pages: s49-s50

10.1017/ash.2026.10498 Get It

Background: Acute bacterial rhinosinusitis (ABRS) is a common, often self-limited condition that frequently leads to inappropriate antimicrobial prescribing in children. Continued reliance on the 2013 American Academy of Pediatrics (AAP) sinusitis guidelines and limited awareness of newer recommendations—particularly those supporting shorter treatment durations—have contributed to antibiotic overuse. As part of an enterprise-wide antimicrobial stewardship initiative, an intervention was implemented to support outpatient pediatric clinicians in identifying children most likely to benefit from antibiotics and in prescribing a 5-day course of guideline-concordant therapy consistent with the 2024-2027 AAP Red Book. We evaluated the impact of this intervention on prescribing practices and clinical outcomes. Methods A retrospective study was conducted among pediatric outpatients diagnosed with uncomplicated ABRS between January 1 and December 1, 2025 at an urban primary care pediatrics clinic within a large health system. The intervention consisted of a brief, targeted educational lecture delivered at a division meeting by pediatric antimicrobial stewardship leadership (pharmacist and physician), emphasizing updated guidance and promoting use of a sinusitis Epic order set. A one-page summary infographic was also distributed for reference. Data were extracted using Epic SlicerDicer and included patient demographics, clinical presentation, antibiotic selection and duration, use of the sinusitis order panel, and clinical outcomes. Outcomes before and after the intervention (May 14, 2025) were compared. Results A total of 99 pediatric patients with uncomplicated ABRS were included, with 55 treated before and 44 after the intervention. Use of the sinusitis order panel increased from 16% to 39% of encounters. The proportion of patients meeting diagnostic criteria for ABRS decreased slightly from 95% to 91%. Prescribing of 5-day antibiotic courses increased from 11% to 34%. There were no significant differences in prescribing provider type, antibiotic selection, or clinical outcomes—including Clostridioides difficile infection, return outpatient visits, or hospital admissions related to ABRS within 30 days—between patients receiving 5 versus <5 days of antibiotics (p<0.05). Conclusions A single, brief educational intervention paired with promotion of an Epic order set and summary infographic increased prescribing of shorter (5-day) antibiotic courses for pediatric ABRS without adversely affecting short-term clinical outcomes. Further studies are needed to assess the durability and long-term impact of this intervention on prescribing behavior.
Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed
Blackwell, Thomas W., Kachuri, Linda , Castaldi, Peter J. , Cho, Michael H. , Christenson, Stephanie A. , Durda, Peter , Gabriel, Stacey , Hersh, Craig P. , Huntsman, Scott , Hwang, S.-J., Joehanes, Roby, Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching‐Ti , Liu, Yongmei , Mak, Angel C. Y. , Manichaikul, Ani , Paik, David T. , Saferali, Aabida , Smith, Joshua D. , Taylor, Kent D. , Wang, Jiongming , Weinstock, Joshua S. , Weiss, Jeffrey, Wheeler, Heather E. , Zhou, Ying , Zoellner, Sebastian, Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R.G. , Ortega, Victor E. , Johnson, Craig , Gan, Weiniu , Abecasis, Gonçalo , Nickerson, Deborah A. , Ardlie, Kristin G., Woodruff, Prescott G. , Bowler, Russell P. , Meyers, Deborah A. , Reiner, Alex, Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S. , Silverman, Edwin K. , Rich, Stephen S., Heard‐Costa, Nancy L. , Tang, Hua, Rotter, Jerome I. , Smith, Albert V. , Aguet, François, Scott, Laura J. , Raffield, Laura M. , Parker, Stephen C.J. , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pankow, James, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric, Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Rich, Stephen S. , Pankow, James S. , Reiner, Alex P. , Aguet, François , Johnson, W. Craig , Ardlie, Kristin , Orchard, Peter , Kachuri, Linda , Castaldi, Peter J , Cho, Michael H , Christenson, Stephanie A , Durda, Peter , Hersh, Craig P , Huntsman, Scott , Hwang, Seungyong , Joehanes, Roby , Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching-Ti , Liu, Yongmei , Mak, Angel C Y , Manichaikul, Ani W , Paik, David T , Smith, Joshua D , Taylor, Kent D , Tracy, Russell P , Wang, Jiongming , Wang, Mingqiang , Weinstock, Joshua S , Weiss, Jeffrey , Wheeler, Heather E , Zhou, Ying , Zöllner, Sebastian , Wu, Joseph C , Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R G , Ortega, Victor E , Johnson, W Craig , Gan, Weiniu , Gupta, Namrata , Ardlie, Kristin , Woodruff, Prescott G , Bowler, Russell P , Reiner, Alexander P , Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S , Silverman, Edwin K , Rich, Stephen S , Heard-Costa, Nancy , Tang, Hua , Rotter, Jerome I , Smith, Albert V , Levy, Daniel , Aguet, François , Scott, Laura J , Raffield, Laura M , Parker, Stephen C J , Pankow, James S , Tracy, Russell P. , Wu, Joseph C. , Larson, Martin G. , Cupples, L. Adrienne , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan , Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric , Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng

Science | July 16, 2026 | Volume: 393 | Issue: 6808 | Pages: No page available

10.1126/science.adx2989 | PMID 42462027 Get It

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood ( n = 6454) and lung ( n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank–derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.
Comparing Regression Adjustment, Matching, and Inverse Probability Weights in Small Sub-Populations in the HIV SUCCESS Consortium: A Real-World Data Example
Kyle, Ryan P. , Heinke, Dominique, Napravnik, Sonia, Chander, Geetanjali, Baiers, Ross , Cachay, Edward, Kipke, Michele, Moore, Richard D., Mayer, Kenneth H., Parra, Luis, Fredericksen, Rob J., Reisner, Sari, Christopoulos, Katerina , Yendewa, George A., Baum, Marianna, Bamford, Laura, Kitahata, Mari M., Saag, Michael S. , Crane, Heidi M. , Whitney, Bridget M. , Baum, Marianna K. , Drumright, Lydia N , Delaney, Joseph A C , Baum, Marianna , Drumright, Lydia N. , Heinke, Dominique, Napravnik, Sonia , Chander, Geetanjali , Lesko, Catherine R. , Mustanski, Brian , Cachay, Edward R. , Kipke, Michele D. , Mayer, Kenneth, Parra, Luis, Reisner, Sari L. , Christopoulos, Katerina A. , Yendewa, George A. , Delaney, Joseph A.

Substance Use: Research and Treatment | July 16, 2026 | Volume: 20 | Issue: No issue available | Pages: No page available

10.1177/29768357261469399 | PMID 42491262 Get It

Objectives To understand the trade-offs between different statistical modeling approaches, using real world data with small sub-populations, with rare exposures and increasingly rare outcomes. In particular, to compare adjusted regression, inverse probability weighting, and matching. Methods Data for these analyses came from the RADAR (N=1,134) and combined CNICS/JHHCC (N=14,434) cohorts. We estimated prevalence ratios (PRs) for self-reported use of specific substances comparing subpopulations (SP), SP-1 vs SP-3 and SP-2 vs SP-3, where SP-1 was the largest proportion (92% in RADAR, 81% in CNICS/JHHCC), SP2 was moderate proportion (18% in CNICS/JHHCC) and SP-3 was the smallest proportion (8% in RADAR, 1% in CNICS/JHHCC) of the population. We calculated PRs using 1) unadjusted relative risk regression (RR); and adjusted estimates controlling for age, race/ethnicity, study site, and year of interview using: 2) standard adjustment in RR; 3) stabilized inverse probability of treatment weighting (IPTW); and 4) matching with up to 3 matches from SP-1 or SP-2 per SP-3 participant. Results For most substances, all methods yielded consistent estimates. There were large weights in some of the IPTW analyses and in three cases these resulted in substantially divergent estimates. For the comparison between SP-1 and SP-3, the estimate for smoking was 1.3-fold greater in the matched analysis (PR=1.33, 95% CI: 1.02-1.75) than in IPTW (PR=1.03, 95% CI: 0.78-1.37 ATE and PR=1.05, 95% CI: 0.88-1.26 ATT). Even more extreme divergence in estimates was observed for differences between SP-2 and SP-3 with respect to methamphetamine/amphetamine, (IPTW-ATE: PR=1.51, 95% CI: 0.79-2.89; IPTW-ATT: PR=2.36, 95% CI: 1.36-4.12); vs Matching: PR=2.71, 95%CI: 1.47-4.99) and cocaine (IPTW-ATE: PR=1.15, 95% CI: 0.55-2.38; IPTW-ATT: PR=1.81, 95% CI: 1.03-3.18); vs Matching: PR=1.38, 95%CI: 0.76-2.53). Conclusion The combination of a rare exposure and a rare outcome can produce challenges for commonly used confounding adjustment strategies, and it is often best to compare different modeling approaches to gain greater insight.
PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups
Levi, Hagai, Wang, Qin, Bolla, Manjeet K. , Dennis, Joe, Andrulis, Irene L., Antonenkova, Natalia, Au, Chun Hang, Freeman, Laura E. Beane, Bermisheva, Marina, Bodelon, Clara, Bojesen, Stig E., Brenner, Hermann, Brock, Ian W., Brüning, Thomas, Byers, Helen, Camp, Nicola J., Castelao, Jose E., Choi, Ji-Yeob, Chung, Wendy K., Collaborators, NBCS, Colonna, Sarah, Couch, Fergus J., Daly, Mary B., Devilee, Peter, Dörk, Thilo, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Faw, Kierstin, García-Closas, Montserrat, Haiman, Christopher A., Hamann, Ute, Hartman, Mikael, Hooning, Maartje J., Hoppe, Reiner , Howell, Sacha J., Investigators, ABCTB, Investigators, SGBCC, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Jernström, Helena, Joseph, Vijai, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K., Kiprijanovska, Sanja , Koutros, Stella, Kristensen, Vessela N., Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Nicole L. , Marchand, Loic Le, Li, Shuai, Li, Jingmei, Lophatananon, Artitaya, Mannermaa, Arto, Matsuo, Keitaro, Maxwell, Whitney, Muir, Kenneth, Nevelsteen, Ines, Obi, Nadia, O’Brien, Katie M., Ofit, Kenneth, Ottewell, Penelope D., Patel, Alpa V., Plaseska-Karanfilska, Dijana, Prajzendanc, Karolina , Ramachandran, Dhanya, Rashid, Muhammad U., Saloustros, Emmanouil, Sandler, Dale P., Schöttker, Ben, Simard, Jacques, Southey, Melissa C., Stone, Jennifer, Teras, Lauren R., Truong, Thérèse, Weinberg, Clarice R., Yamaji, Taiki , Zheng, Wei, Easton, Douglas F., Elkon, Ran , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W. , Li, Shuai , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W , Li, Shuai , Levi, Hagai , Au, Chun , Augustinsson, Annelie , Freeman, Laura E. Beane , Behrens, Sabine , Bermisheva, Marina , Bodelón, Clara , Bogdanova, Natalia , Brenner, Hermann , Brock, Ian W., Brüning, Thomas , Byers, Helen, Camp, Nicola J. , Castelao, Jose E. , Choi, Ji-Yeob , Chung, Wendy K. , Colonna, Sarah V. , Couch, Fergus J. , Czene, Kamila , Daly, Mary B., Devilee, Peter , Dörk, Thilo, Evans, D. Gareth , Fasching, Peter A., Faw, Kierstin, Gago-Domínguez, Manuela , García‐Closas, Montserrat , Haiman, Christopher A. , Hartman, Mikael , Ho, Vikki , Ho, Peh Joo , Hooning, Maartje J. , Investigators, S On Behalf Of The Chlovis Study, Iwasaki, Motoki , Jakubowska, Anna, Jernström, Helena , Joseph, Vijai, Kaaks, Rudolf , Хуснутдинова, Э. К. , Koutros, Stella , Kristensen, Vessela N., Kwong, Ava , Marchand, Loı̈c Le , Li, Jingmei, Lophatananon, Artitaya , Mannermaa, Arto , Nevelsteen, Ines , Obi, Nadia , O’Brien, Katie M. , Ottewell, Penelope Dawn , Peterlongo, Paolo , Plaseska‐Karanfilska, Dijana , Radice, Paolo , Ramachandran, Dhanya , Romero, Atocha , Saloustros, Emmanouil , Sandler, Dale P. , Schöttker, Ben , Simard, Jacques , Southey, Melissa C. , Sugier, Pierre‐Emmanuel , Taylor, Jack A. , Teras, Lauren R. , Truong, Thérèse , Weinberg, Clarice R. , Yadav, Siddhartha , Dunning, Alison M. , Mavaddat, Nasim , Easton, Douglas F. , Michailidou, Kyriaki , Shamir, Ron

No container title available | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.12.26357860 | PMID 42523604 Get It

Abstract Polygenic risk scores (PRSs), which quantify inherited susceptibility to complex traits and diseases, have emerged as valuable tools for risk stratification and precision medicine. Despite their promise, PRS developed on European cohorts often demonstrate substantially reduced predictive accuracy in non-European populations, due to differences in genetic architecture. The disproportionate representation of European ancestry cohorts in genome-wide association studies (GWAS) leads to inequitable deployment of PRS technologies across diverse populations. Here, we introduce PRANA (Polygenic Risk Adaptation via Neural-network Architecture), a deep learning framework that adapts an existing PRS developed on one population to other ancestries. Unlike methods that require large-scale GWAS in the target population, PRANA leverages pre-trained PRS models derived from European cohorts and adapts them using modestly sized cohorts from the target population. We evaluated PRANA on seven complex traits in South Asian, East Asian and Ashkenazi Jewish populations, as well as in selected smaller East Asian subpopulations where the scarcity of training data poses a particular challenge. PRANA mostly improved predictive performance of the baseline PRS models by 5%-20% in terms of effect size (β) and Nagelkerke’s R², and, in most cases, outperformed existing cross-ancestry multi-PRS approaches. These results highlight PRANA as a scalable and practical strategy to reduce disparities in genomic risk prediction and advance the equitable application of PRS in diverse populations.
Developmental Control of DNA Damage Responses in α- and β-Cells Shapes the Selective β-Cell Susceptibility in Diabetes
Varghese, Sneha S., Peña, Alessandro Giovanni Hernandez-De La, Wang, Liu, Ruiz, Victor, Tixi, Wilma, Pandey, Aparamita, Anchondo, Laura, Chiu, Amy, Wu, Xiwei, Georgia, Senta K. , Shih, Hung-Ping, Bhattacharya, Supriyo, Dhawan, Sangeeta , Wang, Liu , Wei, Zong , Dhawan, Sangeeta , Varghese, Sneha S., Peña, Alessandro Giovanni Hernandez-De La , Ruiz, Victor, Tixi, Wilma, Pandey, Aparamita, Anchondo, Laura M. , Chiu, Amy, Wu, Xiwei, Georgia, Senta K. , Shih, Hung-Ping, Bhattacharya, Supriyo

Diabetes | July 15, 2026 | Volume: 75 | Issue: 9 | Pages: 1612-1628

10.2337/db25-1027 | PMID 42455072 Get It

Accumulation of DNA damage drives β-cell dysfunction, senescence, and death in type 1 and type 2 diabetes. Although α-cell dysfunction also contributes to disease pathology, α-cells remain remarkably resistant to senescence and increased cell death under diabetogenic stress. The mechanisms underlying these differential responses to diabetogenic stress, particularly differences in their DNA damage vulnerability, remain unclear. We demonstrate that replication introduces a window of genomic vulnerability in both α- and β-cells during neonatal growth, with α-cells exhibiting higher replication rates and DNA damage. We show that neonatal β-cells resolve DNA damage more efficiently during mitosis and favor error-free repair, whereas α-cells compensate for their greater DNA-damage vulnerability through increased cellular turnover. Using mouse models of overnutrition and diabetes, we show that β-cells exhibit greater vulnerability to terminal DNA damage and impaired repair capacity under diabetogenic stress, with compensatory replication amplifying this vulnerability. We demonstrate that developmental and postnatal epigenetic programs shape the differential DNA damage vulnerability of postnatal β- and α-cells. Loss of de novo DNA methyltransferase Dnmt3a in pancreatic progenitors selectively increases the DNA damage vulnerability of β-cells from neonatal growth through adulthood. Complementing this developmental process, enhancer analyses reveal lineage-specific DNA damage response regulatory landscapes that are remodeled in β-cells under metabolic stress. Collectively, our findings uncover novel developmental mechanisms that shape the distinct DNA damage responses of postnatal β- and α-cells during growth and diabetes. Article Highlights Mechanisms underlying the differential susceptibility of pancreatic β- and α-cells to diabetogenic stress remain unclear. We investigated whether replication, repair fidelity, and developmental epigenetic programs determine the vulnerability of postnatal β- and α-cells to DNA damage, a key driver of β-cell failure in diabetes. Replication introduces DNA damage vulnerability in both neonatal β- and α-cells, yet β-cells resolve damage more efficiently. Loss of DNA methyltransferase 3a in pancreatic progenitors selectively heightens β-cell DNA damage vulnerability that persists into adulthood. Moreover, diabetogenic stress preferentially compromises β-cell repair fidelity. These findings reveal how developmental programs shape β-cell resilience and may influence lifelong diabetes risk.
Sleeping Beauty mutagenesis identifies BACH2 and other regulators of CD8 + T-cell exhaustion, persistence in vivo, and CAR-T cell f
Lee, Chungchi , Larsson, Alex T, Jubenville, Tyler A, Hudson, Wendy A, Seeman, Zach J, Stewart, Carli M. , Tsai, Alexander K. , Burrack, Adam, Kimball, Brooke L, Siegler, Elizabeth L, Vianzon, Vianca , Nolan, Erin E, Yang, Yu-Ling, Stehn, Christopher M, Gohl, Daryl M, Donovan, Margaret, Temiz, Nuri A, Popescu, Flavia E, Warming, Søren, Seshagiri, Somasekar, You, Yun, Riordan, Jesse D, Dupuy, Adam, Moriarity, Branden, Stromnes, Ingunn M. , Kenderian, Saad, Largaespada, David A. , Gohl, Daryl M. , Lee, Chang-Jung , Stewart, Carli , Vianzon, Vianca V , Rogers, Laura M , Stromnes, Ingunn M , Largaespada, David A. , Tsai, Alexander K , Larsson, Alex T. , Jubenville, Tyler , Hudson, Wendy A. , Seeman, Zachary J. , Burrack, Adam L. , Kimball, Brooke , Siegler, Elizabeth L. , Nolan, Erin E. , Stehn, Christopher M. , Donovan, Margaret , Temiz, Nuri A. , Popescu, Flavia E., Seshagiri, Somasekar , Riordan, Jesse D. , Dupuy, Adam J. , Moriarity, Branden S. , Rogers, Laura M. , Kenderian, Saad

Journal for ImmunoTherapy of Cancer | July 15, 2026 | Volume: 14 | Issue: 7 | Pages: e013536

10.1136/jitc-2025-013536 | PMID 42457339 Get It

Background Genes that enhance T-cell function represent promising targets for improving engineered T-cell therapies for cancer. While extensive CRISPR knockout screens have identified key genes enhancing T-cell persistence, employing Sleeping Beauty ( SB ) insertional mutagenesis, which induces both gain-of-function (GOF) and loss-of-function (LOF) mutations via the generation of fusion transcripts with endogenous genes, may uncover additional critical factors that previous approaches have overlooked. Methods We developed transgenic mice carrying D oxycycline (Dox)- i nducible SB mutag e nesis s y stem (DiSBey) in primary T cells. Using DiSBey, we conducted screens for genetic alterations enhancing T-cell persistence under chronic antigen exposure. Specifically, CD8 + T cells from Dox-fed DiSBey mice were subjected to repeated anti-CD3 stimulation over 18 days to mimic chronic antigenic stimulation. We then identified SB transposon genomic insertion sites and corresponding fusion transcripts from the persistent DiSBey CD8 + T cells using enhanced-specificity tagmentation sequencing and RNA sequencing, respectively. Results Under chronic stimulation, SB -mutagenized CD8 + T cells exhibited improved persistence and reduced terminal exhaustion phenotype. Across six independent screens, we identified 38 genes that were recurrently targeted by the SB transposon T2/Onc2 and differentially expressed under chronic anti-CD3 stimulation. T2/Onc2 insertions into Bach2 and Elmo1 were recurrently identified at the genomic level and were associated with altered nascent transcript expression. Bach2 , known as a key regulator of T-cell memory formation and resistance to chronic viral infection-induced exhaustion but less characterized in engineered T cells for cancer therapy, was found to counteract exhaustion in vitro and enhance in vivo tumor persistence in the B16-Ova tumor model. Further, we showed that ectopic Bach2 expression levels influence engineered T-cell differentiation lineage, as low Bach2 overexpression retained more functional progenitor exhausted T cells and exhibited improved therapeutic efficacy. Finally, in human CART19-28ζ cells, BACH2 overexpression enhanced cytotoxicity and tumor control following chronic cancer stimulation. Conclusions Controllable SB mutagenesis using DiSBey mice provides a novel platform for functional screening of genes that improve T-cell phenotypes important for their use as therapies. Our findings highlight a dose-dependent role of BACH2 in enhancing the function of engineered T cells under conditions of chronic antigenic stimulation.
Plasma Phosphorylated Tau 217 in Participants at Risk for Chronic Traumatic Encephalopathy
Miner, A, Zetterberg, Henrik, Blennow, Kaj, Groh, Jenna R., Singh, Alpana, Dieckhoff, Kari, Tripodis, Yorghos, Adler, Charles H., Balcer, Laura J. , Bernick, C L, Peskind, Elaine, Asken, Breton M., Tanner, Jeremy A., Rabinovici, Gil D., Banks, Sarah J., Barr, William B., Wethe, Jennifer V., Cantu, Robert C., Dodick, David W., Mez, Jesse, Palmisano, J, Martin, Brett, Stein, Thor D., McKee, Ann C., Cummings, Jeffrey L., Shenton, Martha E., Reiman, E Bieto, Rc, Stern, Ashton, Nicholas J., Alosco, Michael L., Chen, Kewei, Protas, Hillary, Su, Yi, Boker, Connie, Au, Rhoda, Farrer, Lindsay, Helm, Robert, Kowall, Neil, Mercier, Gustavo, Otis, James, Weller, Jason, Bragg, Tahlia, Simkin, Irene, Trujillo-Rodriguez, Diana, Amerongen, Suzan van , Andino, Alondra, Conneely, Shannon, Diamond, Courtney, Fagle, Tessa, Haller, Olivia, Hunt, Tennyson, Gullotti, Nicole, Kossow, Bailey, Kugelmass, Carrie, Mariani, Megan, Mayville, Brian, McLaughlin, Kathleen, Nanna, Mary, DiPopolo, Marty, Platt, Taylor, Rice, Fiona, Sestak, Madison, McClean, Michael, Annis, Douglas, Chaisson, Christine, Dixon, Diane, Finney, Carolyn, Gallagher, Kerrin, Hartlage, Kaitlin , Lu, Jun, Ojo, E O, Pine, Brittany, Ramachandran, Janani, Baucom, Zachary, Tuz‐Zahra, Fatima , Yhang, Eukyung , Bouix, Sylvain, Fitzsimmons, Jennifer, Lin, Alexander P., Koerte, Inga K., Pasternak, Ofer, Arciniega, Hector , Billah, Tashrif , Bonke, Elena, Breedlove, Katherine M. , Carrington, Holly, Coello, Eduardo , Coleman, Michael J., John, Omar , Jung, Leonard, Liao, Huijun, Loy, Maria, Rizzoni, Elizabeth, Schulz, V. D., Silva, Annelise, Vessey, Brynn, Wiegand, Tim L.T, Miller, Jason, Ritter, Aaron , Sabbagh, Marwan, Cruz, Raelynn de la, Durant, Jan, Golceker, Morgan, Harmon, Nicolette, Kaylegian, Jaeson, Long, Rachelle, Nance, Christine, Sandoval, Priscilla, Staples, Miranda, Clark, Emma F., Serrano, Andrew, Geda, Yonas, Duffy, Amy, Falk, Bryce, Howard, Marci, Montague, Michelle , Osgood, Thomas, Babcock, Debra, Bellgowan, Patrick, GOLDBERG, JUDITH, Joseph, Binu , Kirov, Ivan, Lui, Yvonne, Marmar, Charles, Wisniewski, T R, Al-Kharafi, Alhassan, George, Allan, Hasanaj, Lisena, Martin, Sammie, Riley, Edward, Runge, William, Serrano, Liliana , Iliff, Jeffrey, Li, Gail, Janssen, D, Meabon, James, Piantino, Juan, Schindler, Abigail, Thomas, Ronald, Colasurdo, Elizabeth , Shofer, Jane, Marcus, Daniel S., Gurney, Jenny , Greenwald, Richard, Johnson, Keith A., Singh, Alpana , Singh, Alpana , Miner, Annalise E., Zetterberg, Henrik , Blennow, Kaj , Groh, Jenna R. , Singh, Alpana, Tripodis, Yorghos , Adler, Charles H. , Bernick, Charles , Peskind, Elaine R. , Asken, Breton M. , Rabinovici, Gil D. , Banks, Sarah J. , Barr, William , Wethe, Jennifer V. , Cantu, Robert C. , Dodick, David W. , Mez, Jesse , Stein, Thor D. , McKee, Ann C. , Cummings, Jeffrey L. , Shenton, Martha E. , Reiman, Eric M. , Ashton, Nicholas J. , Alosco, Michael L. , Protas, Hillary , Au, Rhoda, Weller, Jason , Trujillo‐Rodriguez, Diana , Fagle, Tessa, Mariani, Megan, McLaughlin, Kathleen , Pulukuri, Surya Vamsi , Sestak, Madison, McClean, Michael D , Annis, Douglas, Finney, Carolyn, Lu, Jun, Pine, Brittany, Ramachandran, Janani , Baucom, Zachary, Bouix, Sylvain , Koerte, Inga K , Pasternak, Ofer , Bonke, Elena M. , Carrington, Holly , Coleman, Michael J. , Liao, Huijun, Schulz, Vivian, Wiegand, Tim L. T. , II, Robert W. Turner , Marek, Kenneth , Geda, Yonas E. , Howard, Marci, Montague, Michelle, Babcock, Debra, Bellgowan, Patrick S.F. , Kirov, Ivan, George, Allan, Meabon, James S. , Piantino, Juan , Thomas, Ronald G. , Colasurdo, Elizabeth A. , Shofer, Jane, Marcus, Daniel S., Johnson, Keith A.

JAMA Network Open | July 13, 2026 | Volume: 9 | Issue: 7 | Pages: e2622966

10.1001/jamanetworkopen.2026.22966 | PMID 42440317 Get It

Importance In vivo biomarkers for detecting neuropathologies from repetitive head impacts (RHI), including chronic traumatic encephalopathy (CTE), are needed. Objective To evaluate the utility of plasma phosphorylated tau 217 (p-tau217), assess its performance as a beta-amyloid (Aβ) biomarker in participants with RHI exposure at risk for CTE, and explore concordance with CTE neuropathology in a postmortem subsample. Design, Setting, and Participants This longitudinal, multicenter, case-control study used data from the Diagnostics, Imaging, and Genetics Network for the Objective Study and Evaluation of CTE (DIAGNOSE CTE) Research Project, collected from September 2016 to October 2023. Participants were former American football players (case participants) and asymptomatic men unexposed to RHI (control participants). A subsample had available neuropathologic data. Exposures RHI, traumatic encephalopathy syndrome (TES) diagnoses, and levels of CTE certainty. Main Outcomes and Measures Plasma p-tau217 (classified as positive [≥0.63 pg/mL], intermediate [0.40-0.62 pg/mL], and negative [&amp;lt;0.40 pg/mL]), Aβ–positron emission tomography (PET; 18 F-florbetapir; with Aβ-positive defined as a standardized uptake value ratio [SUVR] ≥1.10), and tau-PET ( 18 F-flortaucipir). TES diagnoses were assigned by multidisciplinary consensus conference. Analyses of postmortem brains controlled for age, race, and APOE ε4 status. Results Among 231 participants (mean [SD] age, 57.75 [8.25] years), 177 were former football players (117 professional and 60 college) and 54 were unexposed participants. Former football players had higher baseline mean (SD) p-tau217 concentrations than unexposed participants (0.35 [0.26] pg/mL vs 0.27 [0.14] pg/mL; P = .008), although this was driven by a higher proportion of Aβ-PET–positive participants among former players. Plasma p-tau217 increased over time across the sample (B = 0.207 [95% CI, 0.117-0.298]; P &amp;lt; .001), with no significant time × exposure group interactions. Among football players, p-tau217 showed no time × group interactions with TES diagnosis, TES-CTE certainty, or RHI metrics. Higher p-tau217 concentration correlated with higher global Aβ-PET SUVR (B = 0.058 [95% CI, 0.053-3.501; P = .01), with a few discordant cases (5 participants were p-tau217–negative and Aβ-PET–positive; 7 participants were p-tau217–positive and Aβ-PET–negative). P-tau217 had similar areas under the curve for projecting Aβ-PET positivity as cerebrospinal fluid (CSF) p-tau181/Aβ42 and CSF Aβ40/42 measures (p-tau217: AUC, 0.88 [95% CI, 0.80-0.96]; CSF p-tau181/Aβ42: AUC, 0.89 [95% CI, 0.79-1.00]; CSF Aβ40/42: AUC, 0.85 [95% CI, 0.72-0.98]). Among 9 brain donors, 6 had CTE (stages II-IV; none with Alzheimer disease). Seven had negative or intermediate p-tau217, concordant with Aβ-PET. Two p-tau217 outliers with stage III CTE had normal concentrations upon additional testing. Conclusions and Relevance The findings of this study suggest that plasma p-tau217 concentration is unlikely to be useful for the detection of CTE, but it does show utility for ruling out Aβ pathology in participants at risk for CTE.
Interleukin 6 Receptor Blockade for Relapse Prevention in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease
A, Prera Vilaseca, Bilodeau, Philippe, Gakis, Georgios , Savransky, Andrea, Oliveira, Joao Mahler Ferreira, Nguyen, Linda, Hooshmand, Sam I., Satyanarayan, Sammita , Moseley, Carson E., Haley, Leah , Roy-Hewitson, Chantal, Marrodan, M, Casallas, Adriana, Manín, Analisa , Chen, H, Grzezulkowska, Aniela, Contentti, Edgar Carnero, Galleguillos, Lorna, Upchurch, Margaret, Jackson-Tarlton, Caitlin S. , Guo, Joanne Chu-Yueh, Fabian, Michelle, Caparó-Zamalloa, César, Paterno, R, Waubant, Emmanuelle, Boschetti, Laura Ordoñez, Correale, Jorge, Villa, Andrés M., Banwell, Brenda, Marignier, Romain, Pittock, Sean J., Greenberg, Benjamin , Bennett, Jeffrey L., Cho, Tracey, Clardy, Stacey, Solomon, Andrew J., Ja, Gelfand, Obeidat, Ahmed Z., Blackburn, Kyle, Tenembaum, Silvia , Chen, John J., Sotirchos, Elias S., Levy, Michael, Flanagan, Eoin P., Group, and The Americas MOGAD Treatment, Murillo, Fabian, Syc-Mazurzek, Stephanie B., Jiang, Mulan , Rezende, N, Wingerchuk, D M, Horsman, Susan E. , Bilodeau, Philippe‐Antoine , Bilodeau, Philippe A , Vilaseca, Andreu , Hooshmand, Sam , Moseley, Carson E. , Marrodán, Mariano , Vanegas, Adriana Casallas , Hoshina, Yoji , Contentti, Edgar Carnero , Galleguillos, Lorna , Virupakshaiah, Akash , Arrambide, Georgina , Caparó‐Zamalloa, César , Waubant, Emmanuelle L. , Ordóñez-Boschetti, Laura, Villa, Andres Maria , Marignier, Romain , Pittock, Sean J. , Bennett, Jeffrey L. , Cho, Tracey , Clardy, Stacey , Solomon, Andrew , Kister, Ilya , Zamvil, Scott S. , Gelfand, Jeffrey M. , Repovic, Pavle , Obeidat, Ahmed Zayed , Blackburn, Kyle , Chen, John J., Sotirchos, Elias S. , Levy, Michael , Flanagan, Eoin P. , Syc‐Mazurek, Stephanie B. , Cacciaguerra, Laura , Rezende, Nathane Braga da Silva, Wingerchuk, Dean M.

JAMA Neurology | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jamaneurol.2026.2220 | PMID 42440328 Get It

Importance Myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) lacks proven relapse-preventive therapies. While clinical trials are ongoing, safety data may be limited and approved drugs are costly. Studies of interleukin 6 receptor blocker (IL-6RB) in MOGAD are limited by small numbers and no comparative studies, contributing to low use. Objective To evaluate the impact of IL-6RB therapy on relapse rates in MOGAD and compare relapse frequency with intravenous immunoglobulin (IVIG). Design, Setting, and Participants This international, multicenter, retrospective cohort study (January 1, 2015, through December 31, 2025) included a historical IVIG-treated cohort of varying doses. The study took place across sites in North and South America (US, Canada, Mexico, Argentina, Brazil, Chile, Colombia, and Peru). Patients with MOGAD (n = 116, no excluded patients) who received at least 1 dose of an IL-6RB were included. These data were analyzed in January 2026. Exposures Tocilizumab or satralizumab. Main Outcomes and Measures Annualized relapse rate (ARR) during IL-6RB therapy, time to next relapse after treatment initiation, and adverse events. Outcomes were compared with the IVIG cohort using inverse probability of treatment weighting (IPTW) adjusted for age, sex, prior ARR, and concomitant therapies. Results A total of 116 patients with MOGAD (89% relapsing) receiving IL-6RB (tocilizumab, 104 [90%] and satralizumab, 12 [10%]) were included; overall, 60.3% were female, 39.7% were male, and 18% were younger than 18 years. The median (IQR) IL-6RB treatment follow-up was 1.4 (0.7-2.5) years and 23 relapses occurred during 241.8 person-years of IL-6RB therapy. The ARR decreased from 0.64 (95% CI, 0.58-0.70) for relapsing MOGAD before IL-6RB to 0.09 (95% CI, 0.06-0.14) during IL-6RB treatment (incidence rate ratio, 0.08; 95% CI, 0.04-0.16). Adverse events occurred in 58 patients (50%), most commonly mild infections, although 10 (9%) had severe infections. In the IVIG cohort (n = 59), 30 relapses occurred over 133.8 person-years (ARR, 0.22; 95% CI, 0.15-0.32). After IPTW, IL-6RB was associated with a lower hazard ratio (HR) than the group who underwent IVIG therapy less than 1 g/kg every 4 weeks (HR, 4.5; 95% CI, 2.0-9.8), with no significant difference vs the group who underwent IVIG 1 g/kg or more every 4 weeks (HR, 2.0; 95% CI, 0.8-4.5). Conclusions and Relevance In this multicenter observational cohort, IL-6RB use in MOGAD was associated with low relapse rates and a favorable safety profile, though severe infections occurred occasionally. Relapse rates were lower than the group who underwent IVIG less than 1 g/kg every 4 weeks but not significantly different from the group who underwent IVIG 1 g/kg or more every 4 weeks. This supports IL-6RB as a potential relapse-prevention therapy in MOGAD; the wide availability and relative affordability of tocilizumab may enable broad global use.
Age, Multidomain Lifestyle Intervention, and White Matter Integrity
Maillard, P, Vemuri, Prashanthi, Harvey, Danielle J., Harrison, Theresa M., Reddy, Ashritha L., Oh, Hwamee, Salloway, Stephen, Holland, Thomas M., Rw, Whitmer, Espeland, M A, Baker, Laura D. , Landau, Susan M., DeCarli, Charles, Harvey, Danielle , Harvey, Danielle J , Maillard, Pauline , Vemuri, Prashanthi , Harrison, Theresa M. , Oh, Hwamee , Salloway, Stephen , Mahinrad, Simin , Holland, Thomas Monroe , Whitmer, Rachel A. , Landau, Susan , DeCarli, Charles

JAMA Network Open | July 13, 2026 | Volume: 9 | Issue: 7 | Pages: e2620353

10.1001/jamanetworkopen.2026.20353 | PMID 42438415 Get It

Importance Multidomain lifestyle interventions slow cognitive decline in at-risk older adults, but effects on cerebrovascular injury and whether any effect differs by age or across magnetic resonance imaging (MRI) markers remain unclear. Objectives To test whether a structured multidomain lifestyle intervention, vs a self-guided program, alters trajectories of cerebrovascular MRI markers and whether baseline diffusion MRI estimates subsequent vascular injury. Design, Setting, and Participants POINTER Imaging was a prespecified secondary imaging analysis of the US POINTER (US Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk) randomized clinical trial conducted at multiple US sites. Starting August 1, 2020, and continuing until March 1, 2023, all newly enrolled US POINTER trial participants who met criteria, including being 60 to 79 years of age and at increased risk for cognitive decline, were given the opportunity to enroll in POINTER Imaging. Annual MRIs were performed at baseline and up to 2 follow-up visits at 12 and 24 months. The imaging study ended May 14, 2025. Interventions Structured multidomain lifestyle arm (supervised exercise, dietary counseling, cognitive and social engagement, and health coaching) vs self-guided educational arm. Main Outcomes and Measures Primary outcomes were cerebrovascular MRI markers of global white matter free water (FW), fractional anisotropy (FA), peak width of skeletonized mean diffusivity (PSMD), analysis along the perivascular space (ALPS) index, white matter hyperintensity (WMH) volume, and incident cerebral microbleeds (CMBs). Age-group analyses (&amp;lt;70 vs ≥70 years) were prespecified. Linear mixed-effects models tested time, intervention arm, age group, and interactions for continuous outcomes; logistic regression evaluated incident CMBs. All analyses were adjusted for sex, hypertension, diabetes, and smoking and were conducted for the evaluable population. Data were analyzed September 5 to December 11, 2025. Results For 959 participants included in the analysis, the mean (SD) age was 68 (5) years, and 594 (61.9%) were female. A significant time × arm × age group interaction was observed for FW (β = 0.050; SE = 0.018; P = .006). In participants younger than 70 years, the structured intervention, compared with the self-guided intervention, attenuated the FW increase over time (β = −0.031; SE = 0.012; P = .009); no intervention arm difference was observed in participants aged 70 years or older (β = 0.019; SE = 0.014; P = .18). No intervention-related interactions were detected (eg, time × intervention arm interaction) for WMH (β = 0.002; SE = 0.016; P = .90), FA (β = 0.016; SE = 0.016; P = .30), PSMD (β = −0.011; SE = 0.021; P = .60), or ALPS (β = 0.006; SE = 0.021; P = .79). Overall, greater odds of incident CMBs were associated with higher baseline FW (odds ratio, 1.63 [95% CI, 1.24-2.14]; P &amp;lt; .001) and PSMD (odds ratio, 1.40 [95% CI, 1.08-1.81]; P &amp;lt; .001). Greater WMH progression was associated with higher baseline FW (β = 0.014; SE = 0.006; P = .02) and lower baseline FA (β = −0.018; SE = 0.006; P = .004). Conclusions and Relevance In this secondary imaging analysis of a randomized clinical trial, FW was the cerebrovascular MRI marker most responsive to lifestyle intervention in adults 60 to 70 years of age, showing attenuated small-vessel disease–related injury. Findings suggested greater microvascular benefit when intensive lifestyle intervention is implemented earlier in late life. Trial Registration ClinicalTrials.gov Identifier: NCT03688126