On Blurry Boundaries When Defining Digital Biomarkers: How Much Biology Needs to Be in a Digital Biomarker?
On Blurry Boundaries When Defining Digital Biomarkers: How Much Biology Needs to Be in a Digital Biomarker?
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DOI：
10.3389/fpsyt.2021.740292
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发表时间：
2021
影响因子：
4.7
通讯作者：
Dagum P
中科院分区：
文献类型：
--
作者：
Montag C;Elhai JD;Dagum P
近年来，所谓的“数字生物标志物”代表了焦点研究兴趣的研究有所增加。许多研究人员都知道，数字生物标志物描述了数字足迹，为健康和病理人类（神经）生物学提供了见解。除此之外，数字生物标志物一词有时也用于描述更一般的概念，例如将数字足迹与人类行为联系起来（其本身可以被描述为生物系统的结果）。鉴于对如何定义数字生物标志物缺乏共识，本简短的小型综述提供了i）各种定义的概述和ii）数字生物标志物的直接（狭义）或间接（广义）概念之间的区别。从我们的角度来看，数字生物标志物是一个更直接（或狭义）的概念，描述了与生物变量直接相关的数字足迹，例如来自分子遗传学，表观遗传学，内分泌学，免疫学或脑成像等。数字生物标志物的更多间接概念包括与人类行为相关的数字足迹，其可以充当与生物变量间接相关的潜在变量。
Recent years have seen a rise in research where so called “digital biomarkers” represent the focal study interest. Many researchers understand that digital biomarkers describe digital footprints providing insights into healthy and pathological human (neuro-)biology. Beyond that the term digital biomarker is also used at times to describe more general concepts such as linking digital footprints to human behavior (which itself can be described as the result of a biological system). Given the lack of consensus on how to define a digital biomarker, the present short mini-review provides i) an overview on various definitions and ii) distinguishes between direct (narrow) or indirect (broad) concepts of digital biomarkers. From our perspective, digital biomarkers meant as a more direct (or narrow) concept describe digital footprints being directly linked to biological variables, such as stemming from molecular genetics, epigenetics, endocrinology, immunology or brain imaging, to name a few. More indirect concepts of digital biomarkers encompass digital footprints being linked to human behavior that may act as latent variables indirectly linked to biological variables.
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DOI：
10.1186/1742-5573-7-2
发表时间：
2010-01-20
期刊：
Epidemiologic perspectives & innovations : EP+I
影响因子：
--
作者：
Freedman LS;Kipnis V;Schatzkin A;Tasevska N;Potischman N
通讯作者：
Potischman N
DOI：
10.1073/pnas.1710966114
发表时间：
2017-11-28
影响因子：
11.1
作者：
Matz SC;Kosinski M;Nave G;Stillwell DJ
通讯作者：
Stillwell DJ
影响因子：
82.9
作者：
Avram R;Olgin JE;Kuhar P;Hughes JW;Marcus GM;Pletcher MJ;Aschbacher K;Tison GH
通讯作者：
Tison GH
影响因子：
6.9
作者：
Fan, L. -Y.;Gau, S. S. -F.;Chou, T. -L.
通讯作者：
Chou, T. -L.
影响因子：
4.3
作者：
Huckins, Jeremy F.;daSilva, Alex W.;Campbell, Andrew T.
通讯作者：
Campbell, Andrew T.