Network-based precision medicine and systems pharmacology.

IF 7.7 2区医学 Q1 PHARMACOLOGY & PHARMACY

British Journal of Pharmacology Pub Date : 2025-09-01 DOI:10.1111/bph.70184

Arvind K Pandey, Susan Dina Ghiassian, Joseph Loscalzo

{"title":"Network-based precision medicine and systems pharmacology.","authors":"Arvind K Pandey, Susan Dina Ghiassian, Joseph Loscalzo","doi":"10.1111/bph.70184","DOIUrl":null,"url":null,"abstract":"<p><p>The growth in detailed multi-omic profiling has created new opportunities to tailor clinical care and therapy to patient-level variations in disease phenotype. However, efforts towards precision medicine and personalised therapeutics are hampered by limitations in identifying biologically relevant signals that correlate with and underlie disease activity and therapeutic response from these growing arrays of data. These complexities are accentuated further when attempting to translate the new insights in disease pathobiology into new drug targets for treatment. Additionally, understanding how best to reposition existing drugs in the context of new data on disease pathogenesis remains a challenge. Network medicine provides one approach to comprehend these large data sets and identify better the key molecular and phenotypic signals that can function as disease and treatment biomarkers and that can be targeted for therapy. In this review, we discuss basic concepts in the application of network science to biological systems and then build on these concepts to discuss network-based approaches for identifying novel disease biomarkers, elucidating new drug targets and repositioning existing drugs for new indications.</p>","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":" ","pages":""},"PeriodicalIF":7.7000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/bph.70184","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}

引用次数: 0

Abstract

The growth in detailed multi-omic profiling has created new opportunities to tailor clinical care and therapy to patient-level variations in disease phenotype. However, efforts towards precision medicine and personalised therapeutics are hampered by limitations in identifying biologically relevant signals that correlate with and underlie disease activity and therapeutic response from these growing arrays of data. These complexities are accentuated further when attempting to translate the new insights in disease pathobiology into new drug targets for treatment. Additionally, understanding how best to reposition existing drugs in the context of new data on disease pathogenesis remains a challenge. Network medicine provides one approach to comprehend these large data sets and identify better the key molecular and phenotypic signals that can function as disease and treatment biomarkers and that can be targeted for therapy. In this review, we discuss basic concepts in the application of network science to biological systems and then build on these concepts to discuss network-based approaches for identifying novel disease biomarkers, elucidating new drug targets and repositioning existing drugs for new indications.

查看原文本刊更多论文

基于网络的精准医学和系统药理学。

详细的多组学分析的增长为根据疾病表型的患者水平变化量身定制临床护理和治疗创造了新的机会。然而，在从这些不断增长的数据阵列中识别与疾病活动和治疗反应相关的生物学相关信号方面存在局限性，阻碍了精准医学和个性化治疗的努力。当试图将疾病病理生物学的新见解转化为新的药物治疗靶点时，这些复杂性进一步加剧。此外，了解如何在疾病发病机制的新数据背景下最好地重新定位现有药物仍然是一个挑战。网络医学提供了一种方法来理解这些大型数据集，并更好地识别关键的分子和表型信号，这些信号可以作为疾病和治疗的生物标志物，并可以作为治疗的目标。在这篇综述中，我们讨论了网络科学在生物系统中应用的基本概念，然后在这些概念的基础上讨论了基于网络的方法来识别新的疾病生物标志物，阐明新的药物靶点和重新定位现有药物的新适应症。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

British Journal of Pharmacology 医学-药学

CiteScore

15.40

自引率

12.30%

发文量

270

审稿时长

2.0 months

期刊介绍： The British Journal of Pharmacology (BJP) is a biomedical science journal offering comprehensive international coverage of experimental and translational pharmacology. It publishes original research, authoritative reviews, mini reviews, systematic reviews, meta-analyses, databases, letters to the Editor, and commentaries. Review articles, databases, systematic reviews, and meta-analyses are typically commissioned, but unsolicited contributions are also considered, either as standalone papers or part of themed issues. In addition to basic science research, BJP features translational pharmacology research, including proof-of-concept and early mechanistic studies in humans. While it generally does not publish first-in-man phase I studies or phase IIb, III, or IV studies, exceptions may be made under certain circumstances, particularly if results are combined with preclinical studies.