{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T08:43:30Z","timestamp":1790757810153,"version":"4.1.0"},"reference-count":43,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T00:00:00Z","timestamp":1686873600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JPM"],"abstract":"<jats:p>Donor\u2013recipient matching is a highly individualized and complex component of solid organ transplantation. Flowcytometry crossmatching (FC-XM) is an integral step in the matching process that is used to detect pre-formed deleterious anti-donor immunoglobulin. Despite high sensitivity in detecting cell-bound immunoglobulin, FC-XM is not able to determine the source or function of immunoglobulins detected. Monoclonal antibody therapeutic agents used in a clinic can interfere with the interpretation of FC-XM. We combined data from the prospectively maintained Antibody Society database and Human Protein Atlas with a comprehensive literature review of PubMed to summarize known FC-XM-interfering antibody therapeutics and identify potential interferers. We identified eight unique FC-XM-interfering antibody therapeutics. Rituximab (anti-CD20) was the most-cited agent. Daratumuab (anti-CD38) was the newest reported agent. We identified 43 unreported antibody therapeutics that may interfere with FC-XM. As antibody therapeutic agents become more common, identifying and mitigating FC-XM interference will likely become an increased focus for transplant centers.<\/jats:p>","DOI":"10.3390\/jpm13061005","type":"journal-article","created":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T01:31:31Z","timestamp":1686879091000},"page":"1005","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Antibody Therapeutics as Interfering Agents in Flow Cytometry Crossmatch for Organ Transplantation"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2509-0877","authenticated-orcid":false,"given":"Michael L.","family":"Kueht","sequence":"first","affiliation":[{"name":"Department of Surgery, Multiorgan Transplant and Hepatobiliary Surgery, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laxmi Priya","family":"Dongur","sequence":"additional","affiliation":[{"name":"Department of Surgery, Multiorgan Transplant and Hepatobiliary Surgery, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9426-4290","authenticated-orcid":false,"given":"Muhammad A.","family":"Mujtaba","sequence":"additional","affiliation":[{"name":"Department of Medicine, Transplant Nephrology, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0383-9747","authenticated-orcid":false,"given":"Matthew F.","family":"Cusick","sequence":"additional","affiliation":[{"name":"Department of Pathology, Division of Histocompatibility and Immunogenetics, University of Michigan Medicine, 2800 Plymouth Rd., Building 36, Ann Arbor, MI 48109, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1111\/j.1600-6143.2004.00360.x","article-title":"Predicting kidney graft failure by, HLA antibodies: A prospective trial","volume":"44","author":"Terasaki","year":"2004","journal-title":"Am. 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