Design, cohort profile and comparison of the KTD-Innov study: a prospective multidimensional biomarker validation study in kidney allograft rejection

IF 7.7 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Valentin Goutaudier, Marta Sablik, Maud Racapé, Olivia Rousseau, Benoit Audry, Nassim Kamar, Marc Raynaud, Olivier Aubert, Béatrice Charreau, Emmanuelle Papuchon, Richard Danger, Laurence Letertre, Lionel Couzi, Emmanuel Morelon, Moglie Le Quintrec, Jean-Luc Taupin, Eric Vicaut, Christophe Legendre, Hoa Le Mai, Vishnu Potluri, Thi-Van-Ha Nguyen, Marie-Eliane Azoury, Alice Pinheiro, Georges Nouadje, Pierre Sonigo, Dany Anglicheau, Ineke Tieken, Serge Vogelaar, Christian Jacquelinet, Peter Reese, Pierre-Antoine Gourraud, Sophie Brouard, Carmen Lefaucheur, Alexandre Loupy
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引用次数: 0

Abstract

There is an unmet need for robust and clinically validated biomarkers of kidney allograft rejection. Here we present the KTD-Innov study (ClinicalTrials.gov, NCT03582436), an unselected deeply phenotyped cohort of kidney transplant recipients with a holistic approach to validate the clinical utility of precision diagnostic biomarkers. In 2018–2019, we prospectively enrolled consecutive adult patients who received a kidney allograft at seven French centers and followed them for a year. We performed multimodal phenotyping at follow-up visits, by collecting clinical, biological, immunological, and histological parameters, and analyzing a panel of 147 blood, urinary and kidney tissue biomarkers. The primary outcome was allograft rejection, assessed at each visit according to the international Banff 2019 classification. We evaluated the representativeness of participants by comparing them with patients from French, European, and American transplant programs transplanted during the same period. A total of 733 kidney transplant recipients (64.1% male and 35.9% female) were included during the study. The median follow-up after transplantation was 12.3 months (interquartile range, 11.9–13.1 months). The cumulative incidence of rejection was 9.7% at one year post-transplant. We developed a distributed and secured data repository in compliance with the general data protection regulation. We established a multimodal biomarker biobank of 16,736 samples, including 9331 blood, 4425 urinary and 2980 kidney tissue samples, managed and secured in a collaborative network involving 7 clinical centers, 4 analytical platforms and 2 industrial partners. Patients' characteristics, immune profiles and treatments closely resembled those of 41,238 French, European and American kidney transplant recipients. The KTD-Innov study is a unique holistic and multidimensional biomarker validation cohort of kidney transplant recipients representative of the real-world transplant population. Future findings from this cohort are likely to be robust and generalizable.

Abstract Image

KTD-Innov研究的设计、队列概况和比较:肾移植排斥反应的前瞻性多维生物标志物验证研究
肾移植排斥反应的生物标志物需要可靠且经过临床验证,但这一需求尚未得到满足。在此,我们介绍 KTD-Innov 研究(ClinicalTrials.gov,NCT03582436),这是一个未经筛选的肾移植受者深度表型队列,采用整体方法验证精准诊断生物标志物的临床效用。2018-2019 年,我们前瞻性地招募了在法国七家中心接受肾脏异体移植的连续成年患者,并对他们进行了为期一年的随访。我们在随访时进行了多模态表型分析,收集了临床、生物学、免疫学和组织学参数,并分析了147种血液、尿液和肾组织生物标志物。主要结果是异体移植排斥反应,根据国际班夫2019年分类法在每次就诊时进行评估。我们将参与者与同期接受移植手术的法国、欧洲和美国患者进行了比较,评估了参与者的代表性。研究期间共纳入了 733 名肾移植受者(64.1% 为男性,35.9% 为女性)。移植后随访时间的中位数为12.3个月(四分位间范围为11.9-13.1个月)。移植后一年的排斥反应累积发生率为 9.7%。我们开发了一个符合一般数据保护法规的分布式安全数据存储库。我们建立了一个多模态生物标记生物库,包含16736个样本,其中包括9331个血液样本、4425个尿液样本和2980个肾组织样本,由7个临床中心、4个分析平台和2个工业合作伙伴组成的合作网络进行管理和保护。患者的特征、免疫特征和治疗方法与 41238 名法国、欧洲和美国的肾移植受者非常相似。KTD-Innov 研究是一个独特的整体性多维生物标记物验证队列,其肾移植受者代表了现实世界中的移植人群。该队列的未来研究结果很可能是可靠和可推广的。
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来源期刊
European Journal of Epidemiology
European Journal of Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
21.40
自引率
1.50%
发文量
109
审稿时长
6-12 weeks
期刊介绍: The European Journal of Epidemiology, established in 1985, is a peer-reviewed publication that provides a platform for discussions on epidemiology in its broadest sense. It covers various aspects of epidemiologic research and statistical methods. The journal facilitates communication between researchers, educators, and practitioners in epidemiology, including those in clinical and community medicine. Contributions from diverse fields such as public health, preventive medicine, clinical medicine, health economics, and computational biology and data science, in relation to health and disease, are encouraged. While accepting submissions from all over the world, the journal particularly emphasizes European topics relevant to epidemiology. The published articles consist of empirical research findings, developments in methodology, and opinion pieces.
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