{"title":"Live donation of a deceased donor’s kidney","authors":"Jolie Shen, Jeffrey L. Veale","doi":"10.1016/j.ajt.2026.05.2286","DOIUrl":"10.1016/j.ajt.2026.05.2286","url":null,"abstract":"<div><div>Kidney retransplantation—the reuse of a previously transplanted allograft—is rare, although limited reports suggest clinical feasibility and an underrecognized opportunity within the existing donor pool. We present a novel case involving a living individual donating a previously transplanted deceased donor kidney after early graft failure from recurrent focal segmental glomerulosclerosis. Five days later, that kidney was transplanted into a second recipient, where it has continued to function for over 8 years. This case report also exposed structural barriers that limit broader adoption. The current system lacks standardized mechanisms to identify appropriate allografts for regifting. Even when identified, accurate characterization requires attributing the graft to the original donor’s profile rather than the interim recipient’s, while also accounting for cumulative calcineurin inhibitor exposure and the interim recipient’s clinical course. Most consequentially, the interim donor in this case report met criteria for neither living nor deceased donation, leaving him unclassifiable under either existing donor framework. These findings underscored gaps in donor classification, data capture, and organ allocation that constrain wider implementation of allograft reuse. Addressing these gaps represents a unique opportunity to expand the donor pool without requiring a single additional donor.</div></div>","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2403-2407"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148004075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eva M. Gillis Buck, Shreya R. Aghi, James M. Gardner
{"title":"Antibody-cytokine fusion enables spatially targeted modification of immune responses to tumors","authors":"Eva M. Gillis Buck, Shreya R. Aghi, James M. Gardner","doi":"10.1016/j.ajt.2026.08.001","DOIUrl":"10.1016/j.ajt.2026.08.001","url":null,"abstract":"","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2227-2229"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148696749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reply to “Comment on ‘Preoperative transjugular intrahepatic portosystemic shunt (TIPS)-guided portal flow modulation in resection and partial liver transplantation with delayed total hepatectomy (RAPID-LT): A new step-up approach supporting hyper-small graft’”","authors":"Florence Jeune, Olivier Scatton","doi":"10.1016/j.ajt.2026.06.014","DOIUrl":"10.1016/j.ajt.2026.06.014","url":null,"abstract":"","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2410-2411"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148306260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dieter C. Broering, Yasser Elsheikh, Luigi Rescigno, Sonia Takidou, Dimitri A. Raptis
{"title":"First clinical experience with single-port robotic living donor hepatectomy","authors":"Dieter C. Broering, Yasser Elsheikh, Luigi Rescigno, Sonia Takidou, Dimitri A. Raptis","doi":"10.1016/j.ajt.2026.05.2300","DOIUrl":"10.1016/j.ajt.2026.05.2300","url":null,"abstract":"<div><div>Living donor hepatectomy requires maximum safety while aiming to minimize surgical invasiveness. Single-port (SP) robotic platforms may offer the potential to reduce abdominal wall trauma and improve cosmesis compared with multiport robotic approaches; however, clinical experience in living liver donation is currently lacking. This report describes the first 3 consecutive living donor left lateral sectionectomies performed using a SP robotic system at a high-volume robotic donor hepatectomy center in 2026. All procedures were completed robotically without conversion, the operation duration decreased from 430 to 272 minutes, estimated blood loss was 25 mL in all cases, and no donor experienced complications, transfusion, reoperation, or readmission. The hospital stay was 2 to 3 days. All grafts were transplanted successfully without any biliary or major vascular complications. This initial experience suggests feasibility and identifies key technical challenges, including adaptation to SP instrument ergonomics, stapler insertion, and angulation constraints, as well as alternative hemostatic options in the absence of dedicated instruments. Further evaluation is required to determine whether fewer ports translate into measurable improvements in pain, cosmesis, or recovery in healthy liver donors.</div></div>","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2356-2364"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148209500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cole W. Myers, Cheyenna M. Espinoza, Scott H. Oppler, Westley Timmerman, Sydney N. Phu, Sierra D. Palmer, Lucas A. Mutch, Benjamin Langworthy, Laura L. Hocum Stone, Sabarinathan Ramachandran, Bernhard J. Hering, Andrew B. Adams, Melanie L. Graham
{"title":"Trajectory-based weight modeling distinguishes pathologic weight loss and predicts adverse events in nonhuman primate allogeneic kidney transplantation","authors":"Cole W. Myers, Cheyenna M. Espinoza, Scott H. Oppler, Westley Timmerman, Sydney N. Phu, Sierra D. Palmer, Lucas A. Mutch, Benjamin Langworthy, Laura L. Hocum Stone, Sabarinathan Ramachandran, Bernhard J. Hering, Andrew B. Adams, Melanie L. Graham","doi":"10.1016/j.ajt.2026.06.006","DOIUrl":"10.1016/j.ajt.2026.06.006","url":null,"abstract":"<div><div>Weight change predicts mortality and graft loss in human kidney transplant recipients, yet posttransplant weight dynamics in nonhuman primate transplant models remain poorly characterized despite their importance in preclinical immunosuppression and tolerance studies. By failing to account for demographic characteristic-specific growth patterns, static weight thresholds reduce interpretability and mask early biological signals of posttransplant morbidity. We analyzed 879 weights from 40 nonhuman primates undergoing allogeneic kidney transplantation, with follow-up censored at 1-year posttransplant. Expected posttransplant trajectories were estimated using demographic-stratified linear mixed-effects models with natural splines. Deviations from predicted trajectories defined pathologic weight loss. Associations with adverse events (AEs) were evaluated using time-dependent cause-specific Cox regression. Expected trajectories differed significantly by age and species, with greater anticipated weight gain among younger animals. Each 1-standard deviation decrease below predicted weight was associated with a 2-fold increased hazard of AEs. The model predicted pathologic deviations before symptom onset and humane endpoints. Longitudinal weight trajectory modeling represents a computational modeling-based new approach methodology that improves interpretability of preclinical weight endpoints. Defining risk relative to expected trends enables earlier and more precise prediction of AEs, supports adaptive intervention, including immunosuppression de-escalation and infection-directed management.</div></div><div>Weight change predicts mortality and graft loss in human kidney transplant recipients, yet posttransplant weight dynamics in nonhuman primate transplant models remain poorly characterized despite their importance in preclinical immunosuppression and tolerance studies. By failing to account for demographic characteristic-specific growth patterns, static weight thresholds reduce interpretability and mask early biological signals of posttransplant morbidity. We analyzed 879 weights from 40 nonhuman primates undergoing allogeneic kidney transplantation, with follow-up censored at 1-year posttransplant. Expected posttransplant trajectories were estimated using demographic-stratified linear mixed-effects models with natural splines. Deviations from predicted trajectories defined pathologic weight loss. Associations with adverse events (AEs) were evaluated using time-dependent cause-specific Cox regression. Expected trajectories differed significantly by age and species, with greater anticipated weight gain among younger animals. Each 1-standard deviation decrease below predicted weight was associated with a 2-fold increased hazard of AEs. The model predicted pathologic deviations before symptom onset and humane endpoints. Longitudinal weight trajectory modeling represents a computational modeling-based new approach methodology that improves interpr","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2291-2301"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13377579/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148222200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neeraj Singh, Sandesh Parajuli, Swati Rao, Tarek Alhamad, Silke Niederhaus, Francheska Nieves, Amer Diab, Meaghan Stumpf, Melissa Albritton, Ayush Singh, Ronald Pelletier, Advaith Bongu, Ronald F. Parsons, Robert J. Stratta
{"title":"Hyperglycemia following pancreas transplantation: Rethinking graft function and metabolic control","authors":"Neeraj Singh, Sandesh Parajuli, Swati Rao, Tarek Alhamad, Silke Niederhaus, Francheska Nieves, Amer Diab, Meaghan Stumpf, Melissa Albritton, Ayush Singh, Ronald Pelletier, Advaith Bongu, Ronald F. Parsons, Robert J. Stratta","doi":"10.1016/j.ajt.2026.05.714","DOIUrl":"10.1016/j.ajt.2026.05.714","url":null,"abstract":"<div><div>Pancreas transplantation (PTX) is the single most effective therapeutic option to restore sustained euglycemia and insulin independence in patients with insulin-requiring diabetes mellitus; however, recurrence of hyperglycemia and diabetes mellitus after PTX may occur. In this personal viewpoint, we propose a practical diagnostic and management framework for posttransplant diabetes mellitus (PTDM) and its distinction from pancreas graft failure (PGF) and other causes of hyperglycemia after PTX. PTDM after PTX is a distinct clinical entity from PGF, defined as persistent hyperglycemia in recipients with a functioning pancreas graft in the absence of rejection, infection, or technical complication. Diagnosis should be made after stabilization of immunosuppressive therapy and excludes transient posttransplant hyperglycemia. Risk factors for PTDM include older donor age, recipient obesity, high pretransplant insulin usage, posttransplant weight gain, and use of immunosuppressive agents such as tacrolimus and glucocorticoids. PTDM can mimic PGF and may be associated with adverse outcomes. Pharmacologic management includes metformin, sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide-1 receptor agonists, dipeptidyl peptidase-4 inhibitors, or insulin. Multidisciplinary care, including endocrinology support, is essential. Weight management strategies, including bariatric surgery in some cases, may benefit select patients.</div></div>","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2254-2264"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147961479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Javier Sanchez-Maldonado, Eber Adrian Guajardo-Garcia, Marco Alejandro Arizmendi-Villarreal, Allina Primavera Flores-Mendoza, Homero Arturo Zapata-Chavira, Miguel Mariano Escobedo-Villarreal, Edelmiro Perez-Rodriguez, Francisco Javier Reyna-Sepulveda
{"title":"Structural disparities in deceased donor kidney transplantation: A nationwide analysis of Mexico’s decentralized organ distribution and allocation system","authors":"Javier Sanchez-Maldonado, Eber Adrian Guajardo-Garcia, Marco Alejandro Arizmendi-Villarreal, Allina Primavera Flores-Mendoza, Homero Arturo Zapata-Chavira, Miguel Mariano Escobedo-Villarreal, Edelmiro Perez-Rodriguez, Francisco Javier Reyna-Sepulveda","doi":"10.1016/j.ajt.2026.05.2298","DOIUrl":"10.1016/j.ajt.2026.05.2298","url":null,"abstract":"<div><div>Although disparities in access to kidney transplantation are well-documented, the impact of decentralized, institution-specific allocation systems remains understudied. This study evaluates how structural fragmentation shapes access to deceased donor kidney transplantation among candidates who remained alive and active on the waitlist in Mexico. We conducted a period-prevalent time-to-event analysis using National Transplant Registry data (2014-2024) encompassing 24 698 deceased donor kidney transplant candidates. Access disparities were evaluated across health care sectors (social security, public health, and private) and states using rate-based metrics, Kaplan-Meier, and time-stratified Cox proportional hazards models. Overall, 34.1% of candidates were transplanted. The median waiting time for social security candidates was statistically not reached (<50% transplanted), compared with 21.6 months for public health and 15.4 months for private candidates (<em>P</em> < .001). Time-stratified multivariable analysis revealed substantially higher early transplant hazards for private (adjusted hazard ratio, 6.95; 95% confidence interval, 6.29-7.68) and public health candidates (adjusted hazard ratio, 3.47; 95% confidence interval, 3.22-3.75) versus social security. Organ flow analysis exposed institutional segmentation. Access to deceased donor kidney transplantation in Mexico is profoundly shaped by a decentralized allocation framework that enforces institutional segmentation. These findings underscore the need for standardized national allocation and distribution criteria and enhanced systemic coordination to ensure medical utility and distributive justice.</div></div>","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2302-2314"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148160850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rocio Lopez, Sumit Mohan, Emily A. Vail, James R. Rodrigue, Susana Arrigain, Deena Brosi, Ryan LaVanchy, Trevor Nydam, Jesse D. Schold
{"title":"Contribution of donor hospital characteristics to deceased donor organ recovery rates","authors":"Rocio Lopez, Sumit Mohan, Emily A. Vail, James R. Rodrigue, Susana Arrigain, Deena Brosi, Ryan LaVanchy, Trevor Nydam, Jesse D. Schold","doi":"10.1016/j.ajt.2026.05.2285","DOIUrl":"10.1016/j.ajt.2026.05.2285","url":null,"abstract":"<div><div>The Centers for Medicare and Medicaid Services evaluates Organ Procurement Organizations (OPOs) based on donation and transplant rates within their donation service area, but individual hospital-level characteristics may also significantly impact organ recovery. We examined how hospital-level factors influence recovery rates using 2023 data from the Scientific Registry of Transplant Recipients database, the Centers for Medicare and Medicaid Services Hospital Provider Data, and Cost Reports. A hierarchical negative binomial model with OPO random intercepts was used to evaluate hospital-level organ recovery (organs recovered/total discharges). In 2023, OPOs recovered organs for transplant at 1,776 hospitals. Compared with private hospitals, recovery rates were higher in government-owned (incidence rate ratio [IRR], 1.24; 95% confidence interval [CI], 1.08-1.42) and nonprofit hospitals (IRR, 1.19; 95% CI, 1.05-1.35). Hospitals located in the most distressed areas (IRR, 1.18; 95% CI, 1.03-1.35), transplant centers (IRR, 1.19; 95% CI, 1.05-1.33), and trauma levels I (IRR, 2.21; 95% CI, 1.98-2.47) and II (IRR, 1.86; 95% CI, 1.69-2.05) centers had higher rates. Higher patient experience/trust scores were associated with lower recovery rates (IRR, 0.89; 95% CI, 0.85-0.93), whereas mortality/acuity was positively associated (IRR, 1.15; 95% CI, 1.10-1.21). Recovery rates were higher for hospitals linked to OPOs with transfer models (IRR, 1.37; 95% CI, 1.06-1.78) or freestanding donor care units (IRR, 1.17; 95% CI, 1.02-1.34). Interventions at specific donor hospitals may significantly improve organ recovery rates, and prospective OPO performance measures may need to account for hospital-level factors, recognizing their substantial influence on the organ donation process.</div></div><div>The Centers for Medicare and Medicaid Services evaluates Organ Procurement Organizations (OPOs) based on donation and transplant rates within their donation service area, but individual hospital-level characteristics may also significantly impact organ recovery. We examined how hospital-level factors influence recovery rates using 2023 data from the Scientific Registry of Transplant Recipients database, the Centers for Medicare and Medicaid Services Hospital Provider Data, and Cost Reports. A hierarchical negative binomial model with OPO random intercepts was used to evaluate hospital-level organ recovery (organs recovered/total discharges). In 2023, OPOs recovered organs for transplant at 1,776 hospitals. Compared with private hospitals, recovery rates were higher in government-owned (incidence rate ratio [IRR], 1.24; 95% confidence interval [CI], 1.08-1.42) and nonprofit hospitals (IRR, 1.19; 95% CI, 1.05-1.35). Hospitals located in the most distressed areas (IRR, 1.18; 95% CI, 1.03-1.35), transplant centers (IRR, 1.19; 95% CI, 1.05-1.33), and trauma levels I (IRR, 2.21; 95% CI, 1.98-2.47) and II (IRR, 1.86; 95% CI, 1.69-2.05) centers had higher rates. Higher pa","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2315-2326"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148003992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elizabeth C. Lorenz, Valen Keefer, Goni Katz-Greenberg, Arpita Basu
{"title":"Viewpoint regarding the importance of patient-centered frailty research in kidney transplantation","authors":"Elizabeth C. Lorenz, Valen Keefer, Goni Katz-Greenberg, Arpita Basu","doi":"10.1016/j.ajt.2026.05.2287","DOIUrl":"10.1016/j.ajt.2026.05.2287","url":null,"abstract":"<div><div>Frailty has emerged as a powerful risk stratification tool in kidney transplantation. Frail kidney transplant candidates are significantly more likely to experience posttransplant complications, including delayed graft function, rehospitalizations, and death. Although the transplant community’s understanding of the relationship between frailty and clinical variables has exploded over the past several decades, our understanding of patient perspectives regarding frailty lags behind. Lack of knowledge regarding patient perspectives regarding frailty can limit the successful integration of clinical research findings into clinical practice. In this viewpoint, we summarized data regarding patients’ perspectives on frailty and suggested how to better incorporate patients’ viewpoints regarding frailty into kidney transplant care and research.</div></div>","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2248-2253"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148004047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Toshihiro Nakayama, Daniel J. Ahn, Antony Attia, Kliment K. Bozhilov, Varvara A. Kirchner, Kazunari Sasaki, Stephan Busque, Marc L. Melcher, Thomas A. Pham
{"title":"Highly sensitized pediatric kidney candidates have reduced access to kidney transplant in the United States","authors":"Toshihiro Nakayama, Daniel J. Ahn, Antony Attia, Kliment K. Bozhilov, Varvara A. Kirchner, Kazunari Sasaki, Stephan Busque, Marc L. Melcher, Thomas A. Pham","doi":"10.1016/j.ajt.2026.05.008","DOIUrl":"10.1016/j.ajt.2026.05.008","url":null,"abstract":"<div><div>Kidney transplantation is prioritized for children in the United States, yet equity for highly sensitized pediatric candidates remains uncertain. Using Organ Procurement and Transplantation Network data, we examined kidney-only candidates aged 0 to 17 years listed between December 4, 2014, and December 31, 2024, who were ever activated, comparing the Kidney Allocation System (KAS; Era 1) and the 2021 circle-based revision (KAS250; Era 2). Candidates were stratified by calculated panel-reactive antibody (cPRA) at first activation (0%-20%, 21%-79%, 80%-99%, 100%). The primary outcome was the 3-year cumulative incidence of deceased-donor kidney transplant (DDKT) in competing-risk analysis. Among 7215 activated pediatric candidates, highly sensitized candidates accepted organs from greater distances. In both eras, candidates with cPRA 80% to 99% (Era 1: subdistribution hazard ratio [SHR] 0.46, 95%CI 0.36-0.59; Era 2: SHR 0.53, 95%CI 0.42-0.67) and cPRA 100% (Era 1: SHR 0.28, 95%CI 0.16-0.48; Era 2: SHR 0.28, 95%CI 0.18-0.43) had persistently reduced access to DDKT (all <em>P</em> < .001). While nonsensitized candidates had higher DDKT rates than adults, those with cPRA 80% to 99% or 100% had similar rates to adults. Findings suggest that pediatric prioritization does not fully extend to highly sensitized children, supporting the need for broader sharing.</div></div>","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"26 10","pages":"Pages 2336-2344"},"PeriodicalIF":8.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147959498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}