Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders
Aging that refers the accumulation of genetic and physiology changes in cells and tissues over a lifetime has been shown a high risk of developing various complex diseases, such as neurodegenerative disease, cardiovascular disease and cancer. Over the past several decades, natural products have been...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-10-01
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| Series: | Frontiers in Pharmacology |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fphar.2017.00747/full |
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| author | Jiansong Fang Li Gao Huili Ma Qihui Wu Tian Wu Jun Wu Qi Wang Feixiong Cheng Feixiong Cheng |
| author_facet | Jiansong Fang Li Gao Huili Ma Qihui Wu Tian Wu Jun Wu Qi Wang Feixiong Cheng Feixiong Cheng |
| author_sort | Jiansong Fang |
| collection | DOAJ |
| description | Aging that refers the accumulation of genetic and physiology changes in cells and tissues over a lifetime has been shown a high risk of developing various complex diseases, such as neurodegenerative disease, cardiovascular disease and cancer. Over the past several decades, natural products have been demonstrated as anti-aging interveners via extending lifespan and preventing aging-associated disorders. In this study, we developed an integrated systems pharmacology infrastructure to uncover new indications for aging-associated disorders by natural products. Specifically, we incorporated 411 high-quality aging-associated human genes or human-orthologous genes from mus musculus (MM), saccharomyces cerevisiae (SC), caenorhabditis elegans (CE), and drosophila melanogaster (DM). We constructed a global drug-target network of natural products by integrating both experimental and computationally predicted drug-target interactions (DTI). We further built the statistical network models for identification of new anti-aging indications of natural products through integration of the curated aging-associated genes and drug-target network of natural products. High accuracy was achieved on the network models. We showcased several network-predicted anti-aging indications of four typical natural products (caffeic acid, metformin, myricetin, and resveratrol) with new mechanism-of-actions. In summary, this study offers a powerful systems pharmacology infrastructure to identify natural products for treatment of aging-associated disorders. |
| first_indexed | 2024-12-22T21:56:38Z |
| format | Article |
| id | doaj.art-f150393198c64870b6c8eef353044ab0 |
| institution | Directory Open Access Journal |
| issn | 1663-9812 |
| language | English |
| last_indexed | 2024-12-22T21:56:38Z |
| publishDate | 2017-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pharmacology |
| spelling | doaj.art-f150393198c64870b6c8eef353044ab02022-12-21T18:11:14ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122017-10-01810.3389/fphar.2017.00747305394Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated DisordersJiansong Fang0Li Gao1Huili Ma2Qihui Wu3Tian Wu4Jun Wu5Qi Wang6Feixiong Cheng7Feixiong Cheng8Institute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou, ChinaModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, ChinaInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou, ChinaInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou, ChinaInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou, ChinaInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou, ChinaInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Cancer Biology, Center for Cancer Systems Biology, Harvard Medical School, Dana-Farber Cancer Institute, Boston, MA, United StatesCenter for Complex Networks Research, Northeastern University, Boston, MA, United StatesAging that refers the accumulation of genetic and physiology changes in cells and tissues over a lifetime has been shown a high risk of developing various complex diseases, such as neurodegenerative disease, cardiovascular disease and cancer. Over the past several decades, natural products have been demonstrated as anti-aging interveners via extending lifespan and preventing aging-associated disorders. In this study, we developed an integrated systems pharmacology infrastructure to uncover new indications for aging-associated disorders by natural products. Specifically, we incorporated 411 high-quality aging-associated human genes or human-orthologous genes from mus musculus (MM), saccharomyces cerevisiae (SC), caenorhabditis elegans (CE), and drosophila melanogaster (DM). We constructed a global drug-target network of natural products by integrating both experimental and computationally predicted drug-target interactions (DTI). We further built the statistical network models for identification of new anti-aging indications of natural products through integration of the curated aging-associated genes and drug-target network of natural products. High accuracy was achieved on the network models. We showcased several network-predicted anti-aging indications of four typical natural products (caffeic acid, metformin, myricetin, and resveratrol) with new mechanism-of-actions. In summary, this study offers a powerful systems pharmacology infrastructure to identify natural products for treatment of aging-associated disorders.http://journal.frontiersin.org/article/10.3389/fphar.2017.00747/fullquantitative and systems pharmacologynatural productstarget identificationagingnetwork-based |
| spellingShingle | Jiansong Fang Li Gao Huili Ma Qihui Wu Tian Wu Jun Wu Qi Wang Feixiong Cheng Feixiong Cheng Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders Frontiers in Pharmacology quantitative and systems pharmacology natural products target identification aging network-based |
| title | Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders |
| title_full | Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders |
| title_fullStr | Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders |
| title_full_unstemmed | Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders |
| title_short | Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders |
| title_sort | quantitative and systems pharmacology 3 network based identification of new targets for natural products enables potential uses in aging associated disorders |
| topic | quantitative and systems pharmacology natural products target identification aging network-based |
| url | http://journal.frontiersin.org/article/10.3389/fphar.2017.00747/full |
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