{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T03:15:30Z","timestamp":1788318930553,"version":"build-2803163510"},"reference-count":43,"publisher":"Baishideng Publishing Group Inc.","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["World J Transplant"],"abstract":"<jats:p>BACKGROUND<\/jats:p>\n                  <jats:p>Early allograft dysfunction (EAD) contributes to significant morbidity and mortality. Although EAD can occur after any preservation method, the risk is higher with static cold storage (SCS) - still the predominant modality worldwide - given its longer ischemia time. We hypothesize specific peri-implantation alterations in serum cytokine and transcription factor levels are associated with EAD in recipients of allografts preserved using SCS.<\/jats:p>\n                  <jats:p>AIM<\/jats:p>\n                  <jats:p>To identify peri-implantation predictive biomarkers of EAD in SCS recipients.<\/jats:p>\n                  <jats:p>METHODS<\/jats:p>\n                  <jats:p>We conducted a prospective single-center pilot study of adult deceased donor SCS-preserved liver transplant recipients from August 2023 to July 2024. EAD was defined by the Olthoff criteria. Arterial serum was obtained pre-implantation (timepoint, T1) and 2 (T2) and 48 hours (T3) post-implantation to measure biomarker levels by multiplex immunoassay. Biomarker levels between non-EAD and EAD groups, and their associations with clinical outcomes, were compared using Mann-Whitney U , \u03c7 2 or Fisher\u2019s exact, Friedman, Wilcoxon Z , and Spearman correlation tests.<\/jats:p>\n                  <jats:p>RESULTS<\/jats:p>\n                  <jats:p>EAD occurred in 8 of 24 SCS recipients (33.3%). Compared with non-EAD recipients, those with EAD had lower interleukin-6 (IL-6) levels at T1 [6.3 pg\/mL interquartile ranges (IQR): 3.7, 12.9 vs  15.4 pg\/mL IQR: 8.7, 24.9, P  = 0.0433], greater peri-implantation increases in induced protein 10 (IP-10) (T2-T1) [386.7 pg\/mL (IQR: -26.7, 1280.7) vs  -181.5 pg\/mL (IQR: -452.4, 145.9), P  = 0.02], and higher 48-hour post-implantation hypoxia inducible factor-1 alpha (HIF-1\u03b1) levels at T3 [611.2 pg\/mL (IQR: 384.7, 869.9) vs  157.9 pg\/mL (IQR: 110, 273), P  = 0.0095]. Discriminatory performance was moderate-to-strong for pre-implantation IL-6 [area under the curve (AUC) = 0.7578], peri-implantation IP-10 (AUC = 0.7969), and 48-hour post-implantation HIF-1\u03b1 (AUC = 0.8889).<\/jats:p>\n                  <jats:p>CONCLUSION<\/jats:p>\n                  <jats:p>When integrated with established risk factors and pending external validation, these biomarkers may predict EAD and enhance early risk stratification in SCS recipients.<\/jats:p>","DOI":"10.5500\/wjt.121567","type":"journal-article","created":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T15:38:43Z","timestamp":1780414723000},"source":"Crossref","is-referenced-by-count":0,"title":["Predictive biomarkers of early allograft dysfunction after liver transplantation: A prospective pilot study"],"prefix":"10.5500","volume":"16","author":[{"given":"Elizabeth A","family":"Wilson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ammar","family":"Rashied","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jamie R","family":"Privratsky","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mara","family":"Serbanescu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew S","family":"Barbas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kirsten M","family":"Williams","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Craig M","family":"Coopersmith","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2060","published-online":{"date-parts":[[2026,9,18]]},"reference":[{"key":"B1","unstructured":"Network, O.P.a.T., National Data Report. 2024, Organ Procurement and Transplantation Network: Richmond, VA. 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