# Tenascin-C as a predictor of delayed graft function after kidney transplantation

**Authors:** Ziyan Yan, Yibin Wang, Yuchen Wang, Shengquan Wu, Wenli Zeng, Jialiang Hui, Jian Xu, Renfei Xia, Yun Miao

PMC · DOI: 10.3389/fimmu.2026.1682962 · Frontiers in Immunology · 2026-02-17

## TL;DR

This study explores how Tenascin-C levels in kidney transplant patients can predict delayed graft function.

## Contribution

The study identifies Tenascin-C as a potential biomarker for predicting delayed graft function after kidney transplantation.

## Key findings

- sTNC levels peaked on postoperative day 4 in recipients with DGF.
- Incorporating sTNC and TNC staining scores improved DGF prediction accuracy significantly.
- uTNC levels were higher in recipients without DGF, peaking at 8 hours postoperatively.

## Abstract

Incidence of delayed graft function (DGF) increases due to the decline in donor kidney quality and the increased use of marginal allografts, while the promising biomarkers for early DGF prediction are lacking. Previous analyses showed that Tenascin-C (TNC) was associated with acute kidney injury; however, its correlation with DGF is unclear. This study aimed to evaluate the ability of TNC to predict DGF.

This prospective study included 36 perioperative kidney transplant recipients. Serum and urine samples were collected at regular intervals before and during the 10 days after transplantation to measure TNC and other conventional biomarkers. Pre-implantation graft renal biopsies were analyzed using Remuzzi and TNC staining scores. These data were then combined with clinical risk factors to construct a DGF prediction model.

In recipients with DGF, sTNC levels peaked on postoperative day 4, and were associated with increased risk of composite events (DGF and rehospitalization). uTNC levels were significantly higher in recipients without DGF, peaking at 8 hours postoperatively. sTNC levels at postoperative day 4 and TNC immunohistochemical scores were identified as independent risk factors for DGF. Incorporating the above two factors into a model comprising recipient age, cholesterol levels, donor cold ischemia time, and surgery duration significantly improved its ability to predict DGF, with the area under the curve increasing from 0.6790 to 0.9321.

This study highlights the TNC levels in perioperative kidney transplant recipients and their correlation with DGF. sTNC levels and TNC immunohistochemical staining scores may serve as potential biomarker predicting DGF.

## Linked entities

- **Proteins:** Tnc (tenascin C)
- **Diseases:** acute kidney injury (MONDO:0002492)

## Full-text entities

- **Genes:** HLA-DRB1 (major histocompatibility complex, class II, DR beta 1) [NCBI Gene 3123] {aka DRB1, HLA-DR1B, HLA-DRB, SS1}, HLA-DQB1 (major histocompatibility complex, class II, DQ beta 1) [NCBI Gene 3119] {aka CELIAC1, HLA-DQB, IDDM1}, CST3 (cystatin C) [NCBI Gene 1471] {aka ADLDWA, ARMD11, HEL-S-2}, CAV1 (caveolin 1) [NCBI Gene 857] {aka BSCL3, CGL3, LCCNS, MSTP085, PPH3, VIP21}, TNC (tenascin C) [NCBI Gene 3371] {aka 150-225, DFNA56, GMEM, GP, HXB, JI}, HLA-A (major histocompatibility complex, class I, A) [NCBI Gene 3105] {aka HLAA}, HLA-DPB1 (major histocompatibility complex, class II, DP beta 1) [NCBI Gene 3115] {aka DPB1, HLA-DP, HLA-DP1B, HLA-DPB}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, CTNNB1 (catenin beta 1) [NCBI Gene 1499] {aka CTNNB, EVR7, MRD19, NEDSDV, armadillo}
- **Diseases:** AKI (MESH:D058186), tubular cell injury (MESH:D000236), brain death (MESH:D001926), proteinuria (MESH:D011507), ischemia (MESH:D007511), fibrosis (MESH:D005355), injury (MESH:D014947), circulatory death (MESH:D012769), inflammation (MESH:D007249), chronic kidney disease (MESH:D051436), hepatitis B (MESH:D006509), atrophy (MESH:D001284), diabetes (MESH:D003920), tumors (MESH:D009369), tubular damage (MESH:D000230), acute tubular necrosis (MESH:D007683), dysfunction (MESH:D006331), glomerular sclerosis (MESH:D007674), tissue injury (MESH:D017695), necrosis (MESH:D009336), graft injury (MESH:D055589), hypertension (MESH:D006973), cardiac death (MESH:D003643), IRI (MESH:D015427), DGF (MESH:D051799), glomerulosclerosis (MESH:D005921), urinary tract infection (MESH:D014552)
- **Chemicals:** vancomycin (MESH:D014640), methylprednisolone (MESH:D008775), aspirin (MESH:D001241), cholesterol (MESH:D002784), aminoglycoside (MESH:D000617), mycophenolate mofetil (MESH:D009173), Paraffin (MESH:D010232), MP (MESH:C063925), UA (MESH:D014527), carbon dioxide (MESH:D002245), TCO2 (MESH:C561418), creatinine (MESH:D003404), sodium (MESH:D012964), Hematoxylin (MESH:D006416), tacrolimus (MESH:D016559), potassium (MESH:D011188), prednisolone (MESH:D011239), Scr (-), Basiliximab (MESH:D000077552), urea (MESH:D014508)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12953092/full.md

## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC12953092/full.md

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Source: https://tomesphere.com/paper/PMC12953092