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个性化医疗的伦理:多学科方法在肾脏信号项目中的重要性。

Ethics of Personalised Medicine: Importance of the Multidisciplinary Approach in KidneySign Project.

作者信息

Azéma Delphine, Duranton Flore, Argilés Àngel, Rial-Sebbag Emmanuelle

机构信息

Laboratoire CERPOP, équipe BIOETHICS, UMR 1295, Centre d'Epidémiologie et de Recherche en santé des POPulations, Toulouse, France.

RD Néphrologie SAS, Montpellier, France.

出版信息

Proteomics. 2025 Jun;25(11-12):e202400176. doi: 10.1002/pmic.202400176. Epub 2025 Apr 2.

DOI:10.1002/pmic.202400176
PMID:40171759
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12205288/
Abstract

This article explores the ethical and societal issues in developing personalised medicine (PM) as part of the KidneySign project, which aims to mobilise translational big data to validate a proteomic signature of renal fibrosis with prognostic value. This research offers hope for improved management of chronic kidney disease, including diagnosis and treatment. This article examines how the human and social sciences can be mobilised within a biomedical research project to identify and prevent concomitant ethical, legal and social issues. This point of view defends a multidisciplinary approach to PM and artificial intelligence in medicine. Presenting theoretical and methodological contributions of social sciences in the case of KidneySign offers an opportunity to better understand the integration of these disciplines in biomedical research. It allows us to question the study protocol itself and to frame it through legal obligations, as well as potential legal consequences and challenges. Moreover, sociological assessments help identify key points and highlight the limits of the technophilic fantasy in the representations of patients and health professionals. The introduction of new technologies into medical research and practice requires special attention to ethics.

摘要

本文探讨了作为“肾脏信号”(KidneySign)项目一部分的个性化医疗(PM)发展过程中的伦理和社会问题。该项目旨在调动转化大数据,以验证具有预后价值的肾纤维化蛋白质组学特征。这项研究为改善慢性肾脏病的管理(包括诊断和治疗)带来了希望。本文考察了如何在生物医学研究项目中调动人文和社会科学,以识别和预防随之而来的伦理、法律和社会问题。这一观点捍卫了医学中个性化医疗和人工智能的多学科方法。介绍社会科学在“肾脏信号”案例中的理论和方法贡献,为更好地理解这些学科在生物医学研究中的整合提供了契机。这使我们能够质疑研究方案本身,并通过法律义务以及潜在的法律后果和挑战来对其进行界定。此外,社会学评估有助于确定关键点,并突出患者和卫生专业人员观念中技术偏好幻想的局限性。将新技术引入医学研究和实践需要特别关注伦理问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e111/12205288/a04ff87d0420/PMIC-25-e202400176-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e111/12205288/a04ff87d0420/PMIC-25-e202400176-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e111/12205288/a04ff87d0420/PMIC-25-e202400176-g001.jpg

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本文引用的文献

1
Mind the gap in kidney care: translating what we know into what we do.注意肾脏护理中的差距:将我们所知转化为我们所做。
Nephrol Ther. 2024 Jun;20(3):164-175. doi: 10.1684/ndt.2024.80. Epub 2024 Jun 13.
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Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers.利用非侵入性生物标志物评估和预测慢性肾脏病及肾脏纤维化。
Int J Mol Sci. 2024 Mar 26;25(7):3678. doi: 10.3390/ijms25073678.
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An update on the global disparities in kidney disease burden and care across world countries and regions.
全球各国和地区肾脏疾病负担和护理的全球差异更新。
Lancet Glob Health. 2024 Mar;12(3):e382-e395. doi: 10.1016/S2214-109X(23)00570-3.
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[Dialysis and quality of life: results of a national survey of patients on dialysis or with experience of dialysis].[透析与生活质量:一项针对透析患者或有透析经历患者的全国性调查结果]
Nephrol Ther. 2023 Apr 26;19(2):145-151. doi: 10.1684/ndt.2023.18.
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Representations of personalised medicine in family medicine: a qualitative analysis.家庭医学中个性化医疗的呈现:一项定性分析。
BMC Prim Care. 2022 Mar 1;23(1):37. doi: 10.1186/s12875-022-01650-w.
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A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease.一种用于慢性肾脏病间质纤维化和肾小管萎缩无创评估的新型尿液蛋白质组学分类器
Proteomes. 2021 Jul 13;9(3):32. doi: 10.3390/proteomes9030032.
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Multi-assignment clustering: Machine learning from a biological perspective.多分配聚类:从生物学角度看机器学习。
J Biotechnol. 2021 Jan 20;326:1-10. doi: 10.1016/j.jbiotec.2020.12.002. Epub 2020 Dec 4.
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Sci Rep. 2020 Nov 12;10(1):19743. doi: 10.1038/s41598-020-76773-0.