Phenomic Imaging

Author:

Lan LizhenORCID,Feng KaiORCID,Wu YudanORCID,Zhang WenboORCID,Wei LingORCID,Che HuitingORCID,Xue LeORCID,Gao YidanORCID,Tao JiORCID,Qian ShufangORCID,Cao WenzhaoORCID,Zhang JunORCID,Wang ChengyanORCID,Tian MeiORCID

Abstract

AbstractHuman phenomics is defined as the comprehensive collection of observable phenotypes and characteristics influenced by a complex interplay among factors at multiple scales. These factors include genes, epigenetics at the microscopic level, organs, microbiome at the mesoscopic level, and diet and environmental exposures at the macroscopic level. “Phenomic imaging” utilizes various imaging techniques to visualize and measure anatomical structures, biological functions, metabolic processes, and biochemical activities across different scales, both in vivo and ex vivo. Unlike conventional medical imaging focused on disease diagnosis, phenomic imaging captures both normal and abnormal traits, facilitating detailed correlations between macro- and micro-phenotypes. This approach plays a crucial role in deciphering phenomes. This review provides an overview of different phenomic imaging modalities and their applications in human phenomics. Additionally, it explores the associations between phenomic imaging and other omics disciplines, including genomics, transcriptomics, proteomics, immunomics, and metabolomics. By integrating phenomic imaging with other omics data, such as genomics and metabolomics, a comprehensive understanding of biological systems can be achieved. This integration paves the way for the development of new therapeutic approaches and diagnostic tools.

Funder

Shanghai Municipal Science and Technology Major Project

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference109 articles.

1. Ajoy R, Lo YC, Ho MH, Chen YY, Wang Y, Chen YH, Jing-Yuan C, Changou CA, Hsiung YC, Chen HM, Chang TH, Lee CY, Chiang YH, Chang WC, Hoffer B, Chou SY (2021) CCL5 promotion of bioenergy metabolism is crucial for hippocampal synapse complex and memory formation. Mol Psychiatry 26(11):6451–6468. https://doi.org/10.1038/s41380-021-01103-3

2. Akbari H, Bakas S, Pisapia JM, Nasrallah MP, Rozycki M, Martinez-Lage M, Morrissette JJD, Dahmane N, O’Rourke DM, Davatzikos C (2018) In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature. Neuro Oncol 20(8):1068–1079. https://doi.org/10.1093/neuonc/noy033

3. Aksoy O, Pencik J, Hartenbach M, Moazzami AA, Schlederer M, Balber T, Varady A, Philippe C, Baltzer PA, Mazumder B, Whitchurch JB, Roberts CJ, Haitel A, Herac M, Susani M, Mitterhauser M, Marculescu R, Stangl-Kremser J, Hassler MR, Kramer G, Shariat SF, Turner SD, Tichy B, Oppelt J, Pospisilova S, Hartenbach S, Tangermann S, Egger G, Neubauer HA, Moriggl R, Culig Z, Greiner G, Hoermann G, Hacker M, Heery DM, Merkel O, Kenner L (2021) Thyroid and androgen receptor signaling are antagonized by μ-Crystallin in prostate cancer. Int J Cancer 148(3):731–747. https://doi.org/10.1002/ijc.33332

4. Amini T, Jahangiri F, Ameri Z, Hemmatian MA (2021) A Review of Feasible Applications of THz Waves in Medical Diagnostics and Treatments. J Lasers Med Sci 12:e92. https://doi.org/10.34172/jlms.2021.92

5. Arita H, Kinoshita M, Kawaguchi A, Takahashi M, Narita Y, Terakawa Y, Tsuyuguchi N, Okita Y, Nonaka M, Moriuchi S, Takagaki M, Fujimoto Y, Fukai J, Izumoto S, Ishibashi K, Nakajima Y, Shofuda T, Kanematsu D, Yoshioka E, Kodama Y, Mano M, Mori K, Ichimura K, Kanemura Y (2018) Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas. Sci Rep 8(1):11773. https://doi.org/10.1038/s41598-018-30273-4

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