EventsThe 5th International Electronic Conference on Metabolomics
Published
This submission belongs to the session S4. Clinical Metabolomics and Drug Metabolism of the event The 5th International Electronic Conference on Metabolomics
Published date
09 Oct, 2026
Academic Editor
author-avatarYunping Qiu
Citation
Luis Ramalhete, Rúben Araújo, Miguel Bigote Vierira, Emanuel Vigia, Ana Pena, Sofia Carrelha, Cristiana Teixeira, Anibal Ferreira, Cecilia RC Calado, PRESERVATION FLUID FTIR FINGERPRINTING AS A PRE-IMPLANT READOUT OF EARLY KIDNEY GRAFT FUNCTION, in Proceedings of The 5th International Electronic Conference on Metabolomics, 14 October–16 October 2026, MDPI: Basel, Switzerland
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PRESERVATION FLUID FTIR FINGERPRINTING AS A PRE-IMPLANT READOUT OF EARLY KIDNEY GRAFT FUNCTION

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Ana Pena 7
Sofia Carrelha 7
Cristiana Teixeira 8
Anibal Ferreira 2,3,5,6
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1. Instituto Português do Sangue e da Transplantação - Centro de Sangue e da Transplantação de Lisboa – Área Funcional da Transplantação, Lisbon, Portugal
2. NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisbon, Portugal
3. iNOVA4Health—Advancing Precision Medicine, Núcleo de Investigação em Doenças Renais, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisbon, 1169-056, Portugal
4. LBS - Lisbon Business & Government School, Lisbon, Portugal
5. Nephrology, Hospital Curry Cabral, Unidade Local de Saúde de São José, Lisbon, Portugal
6. Centro Clínico Académico de Lisboa, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisbon, Portugal
7. Hepatobiliopancreatic and Transplantation Center, Curry Cabral Hospital, Unidade Local de Saúde de São José, Lisbon, Portugal
8. Blood and Transplantation Center of Lisbon, Instituto Português do Sangue e da Transplantação, Alamedadas Linhas de Torres, n◦ 117, Lisbon, 1769-001, Portugal
9. ISEL—Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal
10. Institute for Bioengineering and Biosciences (iBB), The Associate Laboratory Institute for Health and Bioe-conomy-i4HB, Instituto Superior Técnico (IST), Universidade de Lisboa (UL), Lisbon, Portugal
Abstract

Introduction: Delayed graft function remains a clinically relevant early complication after kidney transplantation and reflects, at least in part, the cumulative biological stress experienced by the graft before implantation. Current risk assessment relies mainly on donor, recipient and perioperative variables, but these parameters may not fully capture the biochemical status of the organ at the end of static cold storage.

Objectives: To investigate whether Fourier-transform infrared spectroscopy (FTIR) of kidney preservation fluid can provide a rapid pre-implant biochemical fingerprint associated with delayed graft function.

Methods: In this retrospective proof-of-concept study, preservation fluid samples from 56 kidney transplants were analyzed using a dried-film FTIR workflow. Spectral modelling focused on the 900–1800 cm⁻¹ fingerprint region, including phosphate- and carbohydrate-associated signals within approximately 900–1200 cm⁻¹ and the amide II and amide I domains at approximately 1500–1600 cm⁻¹ and 1600–1700 cm⁻¹, respectively. Spectral variables were selected independently within each donor-blinded training fold rather than from a fixed preselected band panel. Three predictive strategies were compared: a clinical model based on conventional variables, an FTIR-only model, and a combined clinical-plus-FTIR model.

Results: Delayed graft function occurred in 14 of 56 transplants. The FTIR-only model achieved the highest discrimination, with an area under the receiver operating characteristic curve of 0.814. The clinical model reached an AUC of 0.775, while the combined model reached an AUC of 0.796. These findings suggest that preservation fluid contains measurable biochemical information related to early graft function, not fully captured by standard clinical variables alone.

Conclusions: FTIR fingerprinting of kidney preservation fluid may offer a fast, low-volume and scalable approach for pre-implant graft assessment. Although exploratory, these results support further multicenter validation and recalibration before clinical implementation.

Keywords
kidney transplantation
delayed graft function
preservation fluid
FTIR spectroscopy
machine learning
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