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Pyoderma Gangrenosum Phenotype Classification
Gaurav, Ahana , Gregoire, Samantha, Xia, Eric, McIntosh, Basil Alex, Alavi, Afsaneh, Bolognia, Jean, Cowen, Edward, Dominguez, Arturo R., Fivenson, David, Heffernan, Michael, Huang, William, Madigan, Lauren, Mauskar, Melissa, Nelson, Caroline, Patsatsi, Aikaterini , Pugliese, Douglas, Rojek, Nathan W. , Rosenbach, M., Shaigany, Sheila, Shinkai, Kanade , Smith, Gideon, SWERLICK, ROBERT, Ortega-Loayza, Alex, Gregoire, Samantha , Xia, Eric , Fernandez, Anthony P , Fivenson, David , Kaffenberger, B , Madigan, Lauren M. , Mauskar, Melissa , Means, Alexander D. , Pugliese, Douglas J., Rosenbach, Misha , Shaigany, Sheila , Smith, Gideon Piers , Swerlick, Robert A. , Ortega‐Loayza, Alex G. , Mostaghimi, Arash

JAMA Dermatology | August 5, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jamadermatol.2026.2285 | PMID 42555014 Get It

Importance Pyoderma gangrenosum (PG) is a rare neutrophilic dermatosis characterized by sterile ulcerative skin lesions. Multiple comorbidities and clinical features have been associated with PG, but no standardized guidelines exist for classifying PG phenotypes. Objective To develop an expert-established classification framework for PG phenotypes to inform treatment guidelines and future research endeavors. Evidence Review In this modified Delphi consensus study that included 23 board-certified dermatologists and Medical Dermatology Society members with expertise in PG, panelists completed 5 rounds of anonymous, iterative online surveys that were administered from December 2023 through July 2025. Before the beginning of the consensus exercise, a literature review was performed by nonvoting researchers to summarize existing data on PG clinical associations and comorbidities. A PubMed search from inception to September 2023 identified observational studies, narrative reviews, systematic reviews, and meta-analyses describing PG clinical associations and comorbidities that were published in English. Experts indicated their agreement with proposed PG phenotypes and disease modifiers with a consensus threshold of 70% or greater. Anonymous comments and aggregated results were presented in each subsequent round. In the final round, a framework of PG phenotypes and disease modifiers was proposed for agreement. Findings Twenty-three board-certified dermatologists and Medical Dermatology Society members with expertise in PG completed 5 rounds of iterative surveys. Consensus was reached on the final set of PG phenotypes and disease modifiers, with 83% of experts in agreement. PG phenotypes were overall classified into 2 major groups: PG with autoinflammatory syndromes and nonsyndromic PG. Nonsyndromic PG included 4 phenotypes: inflammatory bowel disease–associated PG, PG in association with hematologic cancers and blood dyscrasias, drug-induced PG, and other (including idiopathic) PG. Disease modifiers of PG phenotype presentations included involvement of special sites (head/neck, genitals, or peristomal skin) and extracutaneous manifestations. Conclusions and Relevance This expert-established, descriptive framework provides a standardized classification system for distinct PG phenotypes and its modifiers. This nomenclature may inform upcoming clinical guidelines and allow for consistency in reporting epidemiological research and outcomes among patients with PG.
Computable phenotypes for research using real-world data: experiences from the NIH pragmatic trials collaboratory
Conte, Marisa , Fiol, Guilherme Del , Campbell, James R, Marsolo, Keith, Ezenwa, Miriam O. , Darby, Juanita E. , Matthie, Nadine , Ho, P Michael, Pressman, Alice, Justice, Morgan, Fist, Alex , Staman, Karen, Wu, Hulin, Conte, Marisa L , Del Fiol, Guilherme , Stephens, Kari A , Darby, Juanita E , Reynolds Geary, Carol , Faurot, Keturah R , Schlaeger, Judith M. , Campbell, James R., Cheville, Andrea , Stephens, Kari A. , Boyd, Andrew D. , Ho, P. Michael , Pressman, Alice , Geary, Carol , Faurot, Keturah R. , Staman, Karen L. , Wu, Hulin, Richesson, Rachel

JAMIA Open | July 29, 2026 | Volume: 9 | Issue: 4 | Pages: No page available

10.1093/jamiaopen/ooag158 | PMID 42559354 Get It

Abstract Objectives Embedded pragmatic clinical trials (ePCTs) are conducted as part of routine clinical care and therefore use data collected from real-world data sources, such as electronic health record systems and administrative claims. A common approach for using these types of data across all phases of trial conduct is to create a computable phenotype (an explicitly defined data query data, including specified data types, data codes, and logical parameters) to capture patients with a clinical condition, exposure, symptom, characteristic, treatment, or outcome of interest. Materials and Methods The Electronic Health Record (EHR) Core Working Group of the NIH Pragmatic Trials Collaboratory captured the experiences of investigators in developing, adapting, and applying computable phenotype definitions in their studies. Results Four case studies describe different approaches to developing and using computable phenotypes in pragmatic trials. Discussion We recommend: (1) developing computable phenotypes as part of a team with multiple areas of expertise; (2) appropriate validation; (3) dissemination of salient details regarding phenotype creation; and (4) capturing and reporting any modifications made to phenotypes during the conduct of the trial. Conclusion A range of issues and decisions influence how computable phenotypes are developed and used in pragmatic clinical trials. Multidisciplinary teams that understand the context of the data, including the reason the data are collected and potential sources of bias, are best suited for the development and validation of phenotypes for ePCTs.
A cross model single-cell atlas reveals conserved involvement of osteopontin in polycystic kidney disease
Miller, Sarah J. , Wu, Weidong, Cordova, Audrey M. , Yashchenko, Morgan E. , Yashchenko, Alex , Li, Zhang , Jafree, Daniyal J. , Zimmerman, Chelsea N., DeVette, Christa I., Do, Vicki , Hignite, Maya E., Park, Yohan, Nusrat, Fariha , Maryam, Dr Bibi, Li, Xiaoyan, Gipson, Jenny, Yoder, Bradley K. , Cowley, Benjamin D. , Ma, Anjun , Zimmerman, Kurt A. , Yoder, Bradley K , Miller, Sarah Jane , Zhong, Hua , DeVette, Christa I. , Hignite, Maya, Park, Yohan , Lu, Sizhao , Li, Xiaogang , Long, David A. , Weiser‐Evans, Mary C.M. , Hopp, Katharina , Stubbs, Jason R. , Ma, Qin

JCI Insight | July 28, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1172/jci.insight.207157 | PMID 42518278 Get It

Polycystic kidney disease (PKD) arises from mutations in cilia-associated genes, such as PKD1 and PKD2 , expressed in renal epithelial cells, leading to progressive kidney dysfunction and end-stage kidney disease (ESKD). PKD patients exhibit significant heterogeneity in disease progression, largely due to genetic and environmental modifiers. Like patients, mouse models of PKD also exhibit significant heterogeneity with regards to the gene mutated, age of disease onset, and rate of disease progression. To elucidate the cellular and molecular consequences of these variables, we constructed an integrated single-cell RNA sequencing atlas across mouse models of PKD, mapping changes in cell type composition, gene expression, and intercellular signaling networks across the whole atlas and within individual models. Across models, single cell RNA sequencing (scRNAseq) data revealed increased Spp1 (osteopontin) expression and signaling from PKD-enriched clusters. Global deletion of Spp1 in Pkd1 RC/RC mice resulted in a modest reduction in cyst severity and improved kidney function. From these studies, we created a freely available, searchable website (https://bmblx.bmi.osumc.edu/scPKD/) that can be used to identify cross- and intra-model changes in gene expression, guiding researchers to new therapeutic targets for treating PKD.
Advancing Prostate Cancer Survivorship Through Transatlantic Consortium Science: The iCCaRE Initiative
Odedina, Folakemi T. , Dronca, Roxana , Ashing, Kimlin , Kaninjing, Ernest , Rotimi, Solomon O. , Ngufor, Che , Merriweather, Arnold , Gordon, Vinessa , Asto-Flores, Emelina , Adeniji, Kayode, Agboola, Emmanuel, Aliche, Uju, Aliyu, Usman M., Ashing, Kimlin Tam, Asiedu, Gladys, Badejo, Paul, Johnson, Kim Barbel, Beckford, Patrick , Blocker, Renaldo, Bolajoko, Opeyemi, Bonner, Timethia J, Breland, Ivey, Caballero, Amanda , Carter, Rickey, Cattnell, Alex, COBRAN, Ewan, Colon-Otero, Gerardo, Copland, John A., Phd, Getachew Dagne, Campos, Opeyemi C. De, Doty, Melissa, Dronca, Roxana, Erefah, Ebenezer, Falzon, Kaila, Francis, Damian, Fudge, Michelle, Fullwood, Dottington , Gainer, Jeffery, Glaser-Boivin, Dee, Hill, Antony, Hinsom, Rakenya, Iweala, Emeka J., Kaninjing, Ernie, Kase, Adam, Knutsen, Keith, Lee, Daniel, Leyva, Sandra Casanova, Lindeman, Carolyn R., Mahin, Collisa, Maniaci, Michael, Hew, Trevanne Matthews, Hew, Trevanne R. Matthews, Melton, Jada K., Merriweather, Arnold, Mitchell, Luisa, Moore, Cassandra, Ngufor, Che, Nolan, Lucia, Odedina, Abimbola, Odedina, Folakemi, Oladoyinbo, Catherine, Olasehinde, Esther, Onyia, Abimbola F., Popoola, Ademoola, Rotimi, Solomon O., Scales, Tracie, Sledge, Hanna, Thompson-Reeves, Jade, Toye, Oluwaseyi, Duarte, Claudia Valles, Voorhis, Kaitlin Van, Waldon, Charles F., Walsh-Childers, Kim , Williams, Christopher, Willis, Floyd , Wimberly, Quincy , Yahaya, Ayinde, Yates, PhD Clayton, Yost, Kathleen, Young, Mary Ellen , Zou, Tingyu, Ashing, Kimlin Tam , Rotimi, Solomon , Odedina, Folakemi , Kaninjing, Ernest T , Ngufor, Che G , Aliche, Uju, Badejo, Paul, Blocker, Renaldo, Bolajoko, Opeyemi , Cattnell, Alex, Cobran, Ewan K. , Colon-Otero, Gerardo, Copland, John A., Francis, Damian, Fudge, Michelle , Gainer, Jeffery, Gokara, Mahesh , Hinsom, Rakenya, Iweala, Emeka J., Knutsen, Keith, Lee, Daniel, Lindeman, Carolyn R., McCall, John , Melton, Jada K., Mitchell, Luisa, Olasehinde, Esther, Popoola, Ademoola, Reynolds, Jordan , Scales, Tracie, Sledge, Hanna, Thompson-Reeves, Jade, Toye, Oluwaseyi, Duarte, Claudia Valles, Voorhis, Kaitlin Van, Waldon, Charles F., Williams, Christopher, Yost, Kathleen, Zou, Tingyu

Cancer Research Communications | July 24, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1158/2767-9764.crc-26-0165 | PMID 42497456 Get It

Abstract Black/African American populations, globally, bear the greatest prostate cancer (CaP) burden compared to other racial/ethnic groups. Addressing CaP disparities in Black men is complex, requiring a patient-centered, community-centric and comprehensive approach. This study integrates iCCaRE Consortium findings and broader literature to address unmet needs in survivorship care. The iCCaRE Consortium implemented five complementary pilot studies using mixed-methods designs, including feasibility trials, qualitative research, and observational analyses across the United States and sub-Saharan Africa. Descriptive statistics, subgroup analyses, and qualitative thematic analyses were performed across these studies. Collectively, projects addressed multilevel determinants including social, behavioral, and biological drivers of disparities. Project 1 implemented a Virtual Reality Assistant (ViRA) across clinical and community settings, with ongoing evaluation in pragmatic trials. Project 2 showed strong patient preference for home-based cancer care. Project 3 enrolled demonstrated trends toward improved health-related quality of life. Project 4 identified key themes influencing survivorship experiences. Project 5 identified biological mechanisms linking stress, immune modulation, and symptom burden. The iCCaRE pilot projects demonstrate the feasibility and early impact of a consortium-based, transdisciplinary approach to addressing CaP disparities in Black men. These findings highlight the importance of integrating patient-centered interventions, community engagement, and biological insights to inform scalable strategies aimed at improving survivorship outcomes and advancing health equity. The iCCaRE Consortium demonstrates that a transatlantic, patient-centered, and multidisciplinary approach integrating social, clinical, and biological factors can generate scalable strategies to improve survivorship outcomes and advance equity in CaP care for Black men.
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.
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.
Single-cell transcriptomic atlas of frontoinsular cortex reveals molecular correlates of selective neuronal vulnerability in FTD
Breevoort, Arnar , Ivanov, Dimitar, Horan-Portelance, Liam , Nana, Alissa , Vatsavayai, Sarat, Miravet, Alex Tudoras, Wallace, Jenelle L., Ding, Jingwen W., Pereira, Felipe L., Fernhoff, Kristen, Gorno-Tempini, Maria Luisa, Spina, Salvatore, Yokoyama, Jennifer S., Rosen, Howard J., Grinberg, Lea T., Jacobs, Frank M. J., Miller, Bruce L., Seeley, William , Pollen, Alex A , Nana, Alissa L , Breevoort, Arnar , Horan-Portelance, Liam , Vatsavayai, Sarat C. , Tudoras, Àlex, Wallace, Jenelle L. , Ding, Jingwen W, Pereira, Felipe L., Fernhoff, Kristen, Gorno‐Tempini, Maria Luisa , Spina, Salvatore , Yokoyama, Jennifer S. , Rosen, Howard J. , Grinberg, Lea T. , Jacobs, Frank M. J. , Seeley, William W.

No container title available | July 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.13.738307 | PMID 42523377 Get It

Abstract Frontotemporal dementia (FTD) is characterized by selective neuronal vulnerability, yet the features that predispose specific neuron types to degeneration remain unclear. We performed single-nucleus RNA sequencing of frontoinsular cortex, a region affected early in behavioral variant FTD, across individuals with C9orf72 -associated and sporadic FTD-MND spectrum disease. By enriching for large projection neurons, we resolved molecular subtypes of layer 5 extratelencephalic neurons, including von Economo neurons, and identified selective depletion of specific layer 2/3 and layer 5 neuron subtypes, convergent across genotypes. Despite selective neuronal loss, disease-associated transcriptional changes were convergent across excitatory neuron populations, suggesting that they reflect upstream pathophysiology or shared responses to local neurodegeneration. By relating neighborhood-level depletion in disease to gene expression in controls, we found that baseline cellular respiration and ATP synthesis predict neuronal vulnerability in disease. These findings define molecular correlates of selective neuronal vulnerability in FTD and provide a framework linking cell type and state to neurodegeneration.
The conducting airways before and after gender‐affirming hormone therapy in transgender individuals
Kipp, Shalaya , Ramsook, Andrew H. , Miller, Alex J., Bustos, Samyd S., Martinez‐Jorge, Jorys, Welch, Brian T., Ripoll, Juan G., Miller, Alex J. , Joyner, Michael J , Ramsook, Andrew H , Kipp, Shalaya , Bustos, Samyd S. , Martinez‐Jorge, Jorys, Welch, Brian T. , Ripoll, Juan G. , Joyner, Michael J.

Experimental Physiology | July 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1113/ep093927 | PMID 42446094 Get It

Abstract On average, females have smaller airways than males. The largest discrepancy in airway size occurs during puberty, when endogenous sex hormone concentrations diverge between males and females. Transgender individuals often use gender‐affirming hormone therapy (GAHT) to align physical characteristics with gender identity. It is unknown whether GAHT influences airway size (luminal area and length). We evaluated the large conducting airways before starting GAHT and while undergoing years of GAHT. This retrospective within‐subject study included 12 adult transgender individuals who underwent CT scanning before starting GAHT and again after ≥1 year of GAHT. For each transgender individual, we identified two matched cisgender controls (one male and one female) who also underwent two CT scans over a comparable time interval for longitudinal comparison. We used a three‐dimensional reconstruction of CT imaging to measure luminal areas. Within‐subject changes in airway size between scans were assessed using Student's paired t ‐tests in transgender individuals undergoing feminizing hormone therapy. Variance between scans was assessed using Levene's test. Pre‐scans occurred an average of 2.0 ± 3.1 years before beginning GAHT. Transgender persons were on GAHT for an average of 3.3 ± 1.7 years (range, 1.0 – 6.7 years) at their second scan. We found no significant differences in airway luminal cross‐sectional areas for transgender persons on feminizing hormone therapy. The variance in airway size change between scans was not statistically different between transgender individuals and control subjects. Our findings suggest that the size of large conducting airways might remain unchanged after a period (>1 year) on GAHT.
Community-informed development of an in-person forum to promote breast cancer screening and research preparedness in rural and low-socioeconomic status women
Sharma, Pravesh , Imsande, Kaylynn G., Vitriago, Anni, Seibel, Maria, Pritchett, Josh, Rudder, B. de, Tran, Linh T., Larson, Stephanie L., Flock, Carolyn, Murphy, Crystal, Asiedu, Gladys B. , Odedina, Folakemi T., Lynch, Brian, Haddad, Tufia C. , Pritchett, Joshua , Rudder, Bongi, Larson, Stephanie, Patten, Christi , Asiedu, Gladys B , Haddad, Tufia, Sharma, Pravesh , Imsande, Kaylynn G, Larson, Stephanie, Flock, Carolyn R., Murphy, Crystal, Patten, Christi A. , Odedina, Folakemi

Journal of Clinical and Translational Science | July 13, 2026 | Volume: 10 | Issue: 1 | Pages: No page available

10.1017/cts.2026.10788 | PMID 42534402 Get It

Abstract Rural and low-socioeconomic status women face social determinants of health barriers leading to disproportionately low rates of breast cancer screening and markedly reduced participation in clinical trials. To address this gap, we developed the WeCARE (Women’s Engagement for Cancer Awareness, Resources, and Education) intervention using a community-engaged approach. This paper describes how Community Advisory Board feedback informed the development of Mayo Clinic Health System’s WeCARE intervention components. Their input was systematically analyzed using the Consolidated Framework for Implementation Research (CFIR 2.0) to identify determinants of acceptability, appropriateness, and feasibility and to guide actionable refinements to intervention content and delivery.
Pulmonary Developmental Disorders in Adults
Ghosh, Subha, Sykes, Anne-Marie , Ferreira, Allison, Kruger, L, Hahn, Lewis D. , Bratt, Alexander K., Vora, Neel, Singh, Isha, Kruger, Livia Frota, Kruger, Livia F., Bratt, Alex , Saeedan, Mnahi Bin , Deshwal, Himanshu

Journal of Thoracic Imaging | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1097/rti.0000000000000895 | PMID 42438382 Get It

Pulmonary developmental disorders comprise a heterogeneous group of congenital abnormalities involving the airways, lung parenchyma, pulmonary vasculature, or overlapping developmental pathways. Although these conditions commonly present during infancy or childhood, many remain clinically silent until adulthood, when they are discovered incidentally or manifest with recurrent respiratory symptoms such as infection, hemoptysis, or progressive dyspnea. These abnormalities may be broadly categorized into airway, vascular, parenchymal, and mixed developmental anomalies. Airway abnormalities include congenital tracheobronchomegaly, branching anomalies of the tracheobronchial tree, bronchial atresia, bronchogenic cysts, congenital pulmonary airway malformations (CPAM), and bronchopulmonary sequestration (BPS). Vascular anomalies include pulmonary artery sling, proximal interruption of the pulmonary artery, Scimitar syndrome, and meandering pulmonary veins. Parenchymal disorders encompass congenital lobar overinflation and pulmonary hypoplasia. Increasing recognition of overlapping lesions, particularly combinations of CPAM, sequestration, and bronchial atresia, has challenged traditional compartmental classification systems and supports a developmental spectrum model. This review synthesizes contemporary concepts regarding embryologic mechanisms, pathogenesis, imaging findings, and management of these entities in adults. Particular emphasis is placed on imaging evaluation with CT and MRI, updated terminology, evolving molecular understanding of CPAMs, including lesions with malignant potential, and distinctions between congenital sequestration and pseudosequestration. Recognition of these disorders and their associated anomalies is essential for accurate diagnosis, appropriate management, and surgical planning in adult patients.