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Phenomic Imaging.

作者信息

Lan Lizhen, Feng Kai, Wu Yudan, Zhang Wenbo, Wei Ling, Che Huiting, Xue Le, Gao Yidan, Tao Ji, Qian Shufang, Cao Wenzhao, Zhang Jun, Wang Chengyan, Tian Mei

机构信息

Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.

Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang China.

出版信息

Phenomics. 2023 Nov 3;3(6):597-612. doi: 10.1007/s43657-023-00128-8. eCollection 2023 Dec.


DOI:10.1007/s43657-023-00128-8
PMID:38223684
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10781914/
Abstract

Human 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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0591/10781914/9c2d6cc83aa6/43657_2023_128_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0591/10781914/46416802d35e/43657_2023_128_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0591/10781914/9c2d6cc83aa6/43657_2023_128_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0591/10781914/46416802d35e/43657_2023_128_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0591/10781914/9c2d6cc83aa6/43657_2023_128_Fig2_HTML.jpg

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[1]
Welcome to the Journal.

Phenomics. 2021-1-11

[2]
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Front Physiol. 2022-12-8

[3]
EANM practice guideline for quantitative SPECT-CT.

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[4]
PET molecular imaging for pathophysiological visualization in Alzheimer's disease.

Eur J Nucl Med Mol Imaging. 2023-2

[5]
Enhanced Therapeutic Efficacy of Combining Losartan and Chemo-Immunotherapy for Triple Negative Breast Cancer.

Front Immunol. 2022

[6]
Spatiotemporal dynamics of brain function during the natural course in a dental pulp injury model.

Eur J Nucl Med Mol Imaging. 2022-7

[7]
Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.

AJR Am J Roentgenol. 2022-8

[8]
Coronary CT Angiography with Photon-counting CT: First-In-Human Results.

Radiology. 2022-5

[9]
A Review of Feasible Applications of THz Waves in Medical Diagnostics and Treatments.

J Lasers Med Sci. 2021-12-30

[10]
Imaging transcriptomics: Convergent cellular, transcriptomic, and molecular neuroimaging signatures in the healthy adult human brain.

Cell Rep. 2021-12-28

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