NPJ Systems Biology and Applications最新文献

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Unraveling regulatory feedback mechanisms in adult neurogenesis through mathematical modelling. 通过数学模型揭示成人神经发生中的调节反馈机制。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-26 DOI: 10.1038/s41540-025-00563-5
Diana-Patricia Danciu, Filip Z Klawe, Alexey Kazarnikov, Laura Femmer, Ekaterina Kostina, Ana Martin-Villalba, Anna Marciniak-Czochra
{"title":"Unraveling regulatory feedback mechanisms in adult neurogenesis through mathematical modelling.","authors":"Diana-Patricia Danciu, Filip Z Klawe, Alexey Kazarnikov, Laura Femmer, Ekaterina Kostina, Ana Martin-Villalba, Anna Marciniak-Czochra","doi":"10.1038/s41540-025-00563-5","DOIUrl":"https://doi.org/10.1038/s41540-025-00563-5","url":null,"abstract":"<p><p>Adult neurogenesis is defined as the process by which new neurons are produced from neural stem cells in the adult brain. A comprehensive understanding of the mechanisms that regulate this process is essential for the development of effective interventions aimed at decelerating the decline of adult neurogenesis associated with ageing. Mathematical models provide a valuable tool for studying the dynamics of neural stem cells and their lineage, and have revealed alterations in these processes during the ageing process. The present study draws upon experimental data to explore how these processes are modulated by investigating regulatory feedback mechanisms among neural populations through the lens of nonlinear differential equations models. Our observations indicate that the time evolution of the neural lineage is predominantly regulated by neural stem cells, with more differentiated neural populations exerting a comparatively weaker influence. Furthermore, we shed light on the manner in which different subpopulations govern these regulations and gain insights into the impact of specific perturbations on the system.</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"82"},"PeriodicalIF":3.5,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144718180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Complex-mediated evasion: modeling defense against antimicrobial peptides with application to human-pathogenic fungus Candida albicans. 复合物介导的逃避:模拟抗微生物肽的防御与应用于人类致病真菌白色念珠菌。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-22 DOI: 10.1038/s41540-025-00559-1
Yann Bachelot, Anastasia Solomatina, Marc Thilo Figge
{"title":"Complex-mediated evasion: modeling defense against antimicrobial peptides with application to human-pathogenic fungus Candida albicans.","authors":"Yann Bachelot, Anastasia Solomatina, Marc Thilo Figge","doi":"10.1038/s41540-025-00559-1","DOIUrl":"https://doi.org/10.1038/s41540-025-00559-1","url":null,"abstract":"<p><p>Understanding the complex interplay between host and pathogen during infection is critical for developing diagnostics and improving therapeutic interventions. Among the diverse arsenal employed by the host, antimicrobial peptides (AMP) play a key role in the defense against pathogens. We propose an immune evasion mechanism termed \"Complex-mediated evasion\" (CME), that allows pathogens to protect themselves against AMP and investigate it through mathematical modeling and computer simulations. To achieve CME, we hypothesize that the pathogen secretes defense molecules that bind AMP. When bound within the complex, AMP are unable to harm the pathogen. Due to molecular gradients, complexes may diffuse away from the pathogen, enhancing the protective effect of the mechanism by decreasing the concentration of AMP in the vicinity of the pathogen. We establish a mathematical model to (i) explore the sensitivity of the mechanism to various parameters and (ii) simulate the immune evasion of the human-pathogenic fungus Candida albicans.</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"81"},"PeriodicalIF":3.5,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144691076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A systems biology approach to understand temporal evolution of silver nanoparticle toxicity. 用系统生物学的方法来理解银纳米颗粒毒性的时间演化。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-19 DOI: 10.1038/s41540-025-00561-7
Seung-Geun Park, Eunseo Lee, Hyun-Yi Kim, Tae Hyun Yoon
{"title":"A systems biology approach to understand temporal evolution of silver nanoparticle toxicity.","authors":"Seung-Geun Park, Eunseo Lee, Hyun-Yi Kim, Tae Hyun Yoon","doi":"10.1038/s41540-025-00561-7","DOIUrl":"10.1038/s41540-025-00561-7","url":null,"abstract":"<p><p>Silver nanoparticles (AgNPs) are widely used in industrial and biomedical applications, however, their toxicity mechanisms at the molecular level are not completely understood. To address this gap, we investigate the temporal dynamics of gene expression in human lung epithelial cells exposed to AgNPs, integrating transcriptomic analysis, gene ontology (GO) enrichment, protein-protein interaction (PPI) networks, and dynamic simulations. GO analysis highlights early activation of ribosomal biogenesis and stress pathways, transitioning DNA repair and cell cycle regulation at later stages. PPI networks identify ribosomal proteins and DNA damage regulators as key hub genes. Dynamic simulations modeled gene expression changes over 48 hours, uncovering sequential activation of stress response genes, followed by DNA repair attempts and apoptotic signaling as cellular damage persisted. Through modeling the interplay between molecular responses and cell viability, the simulations provided a predictive temporal framework for advancing nanotoxicology research, providing insights into AgNPs-induced molecular disturbances, contributing to safety assessments.</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"80"},"PeriodicalIF":3.5,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12274429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144668104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy. 脑网络的几何表征可以预测颞叶癫痫的手术结果。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-16 DOI: 10.1038/s41540-025-00562-6
Martin Guillemaud, Alice Longhena, Louis Cousyn, Valerio Frazzini, Bertrand Mathon, Vincent Navarro, Mario Chavez
{"title":"Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy.","authors":"Martin Guillemaud, Alice Longhena, Louis Cousyn, Valerio Frazzini, Bertrand Mathon, Vincent Navarro, Mario Chavez","doi":"10.1038/s41540-025-00562-6","DOIUrl":"10.1038/s41540-025-00562-6","url":null,"abstract":"<p><p>Epilepsy surgery, particularly for temporal lobe epilepsy (TLE), remains a vital treatment option for patients with drug-resistant seizures. However, accurately predicting surgical outcomes remains a significant challenge. This study introduces a novel biomarker derived from brain connectivity, analyzed using non-Euclidean network geometry, to predict the surgery outcome in TLE. Using structural and diffusion magnetic resonance imaging (MRI) data from 51 patients, we examined differences in structural connectivity networks associated with surgical outcomes. Our approach uniquely utilized hyperbolic embeddings of pre- and post-surgery brain networks, successfully distinguishing patients with favorable outcomes from those with poor outcomes. Notably, the method identified regions in the contralateral hemisphere relative to the epileptogenic zone, whose connectivity patterns emerged as a potential biomarker for favorable surgical outcomes. The prediction model achieves an area under the curve (AUC) of 0.87 and a balanced accuracy of 0.81. These results underscore the predictive capability of our model and its effectiveness in individual outcome forecasting based on structural network changes. Our findings highlight the value of non-Euclidean representation of brain networks in gaining deeper insights into connectivity alterations in epilepsy and advancing personalized prediction of surgical outcomes in TLE.</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"79"},"PeriodicalIF":3.5,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12267629/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144649945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The effect of stochastic noise on antibiotic resistance in intestinal flora. 随机噪声对肠道菌群抗生素耐药性的影响。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-15 DOI: 10.1038/s41540-025-00548-4
Aofei Hu, Ling Yang, Jie Yan
{"title":"The effect of stochastic noise on antibiotic resistance in intestinal flora.","authors":"Aofei Hu, Ling Yang, Jie Yan","doi":"10.1038/s41540-025-00548-4","DOIUrl":"10.1038/s41540-025-00548-4","url":null,"abstract":"<p><p>Antibiotic treatment is widely used for gastrointestinal diseases, often leading to drug resistance. However, the underlying mechanisms of drug resistance remain unclear. Mathematical modeling provides a powerful tool to explore the dynamics of antibiotic resistance, yet few models have considered the effect of biological noise, which originates from microscopic interactions between bacteria. In this study, we constructed a stochastic model based on the chemical master equations to investigate how stochastic noise influences the development of antibiotic resistance. Our simulations demonstrated that antibiotic resistance developed stepwise: while effective antibiotic treatments maintained the host's total pathogen numbers at healthy levels, the compositional balance shifted significantly through progressive increases in resistant pathogen proportions. Stochastic noise further amplified this shift and accelerated resistance by exacerbating post-treatment changes in the sensitive-to-resistant pathogen ratio. Finally, we found that the presence of coupling between different microbial communities can delay the onset of resistance and might even prevent its development. These results highlight noise's critical role in resistance development and suggest enhancing microbial interactions as a potential mitigation strategy.</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"77"},"PeriodicalIF":3.5,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12264058/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144643046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of resource packaging on the adaptative and pleiotropic consequences of evolution. 资源包装对进化的适应性和多效性的影响。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-15 DOI: 10.1038/s41540-025-00558-2
Neetika Ahlawat, Pavithra Venkataraman, Raman Gulab Brajesh, Supreet Saini
{"title":"Effects of resource packaging on the adaptative and pleiotropic consequences of evolution.","authors":"Neetika Ahlawat, Pavithra Venkataraman, Raman Gulab Brajesh, Supreet Saini","doi":"10.1038/s41540-025-00558-2","DOIUrl":"10.1038/s41540-025-00558-2","url":null,"abstract":"<p><p>Adaptation to an environment is enabled by the accumulation of beneficial mutations. How do adaptive trajectories and pleiotropic effects of adaptation change in response to \"subtle\" changes in the environment? Since there exists no molecular framework to quantify \"subtle\" environmental change, designing experiments to answer this question has been challenging. In this work, we address this question by studying the effects of evolution in environments which differ solely in the way sugars are presented to a bacterial population. Specifically, we focus on glucose and galactose, which can be supplied to an E. coli population as a mixture of glucose and galactose, lactose, or melibiose. We evolve six replicate populations of E coli for 300 generations in these three chemically correlated or \"synonymous\" environments, and show that the adaptive responses of these populations are not similar. When tested for pleiotropic effects of fitness in a range of non-synonymous environments, our results show that despite uncorrelated adaptive changes, the nature of pleiotropic effects is largely predictable based on the fitness of the ancestor in the non-home environments. Overall, our results highlight how subtle changes in the environment can alter adaptation, but despite sequence-level variations, pleiotropy is qualitatively predictable.</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"78"},"PeriodicalIF":3.5,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12264277/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144642974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Author Correction: Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms. 作者更正:系统医学疾病地图:社区驱动的疾病机制的全面代表。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-12 DOI: 10.1038/s41540-025-00554-6
Alexander Mazein, Marek Ostaszewski, Inna Kuperstein, Steven Watterson, Nicolas Le Novère, Diane Lefaudeux, Bertrand De Meulder, Johann Pellet, Irina Balaur, Mansoor Saqi, Maria Manuela Nogueira, Feng Q HeFeng, Andrew Parton, Nathanaël Lemonnier, Piotr Gawron, Stephan Gebel, Pierre Hainaut, Markus Ollert, Ugur Dogrusoz, Emmanuel Barillot, Andrei Zinovyev, Reinhard Schneider, Rudi Balling, Charles Auffray
{"title":"Author Correction: Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms.","authors":"Alexander Mazein, Marek Ostaszewski, Inna Kuperstein, Steven Watterson, Nicolas Le Novère, Diane Lefaudeux, Bertrand De Meulder, Johann Pellet, Irina Balaur, Mansoor Saqi, Maria Manuela Nogueira, Feng Q HeFeng, Andrew Parton, Nathanaël Lemonnier, Piotr Gawron, Stephan Gebel, Pierre Hainaut, Markus Ollert, Ugur Dogrusoz, Emmanuel Barillot, Andrei Zinovyev, Reinhard Schneider, Rudi Balling, Charles Auffray","doi":"10.1038/s41540-025-00554-6","DOIUrl":"10.1038/s41540-025-00554-6","url":null,"abstract":"","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"76"},"PeriodicalIF":3.5,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12255812/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144619450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Author Correction: A roadmap towards personalized immunology. 作者更正:个性化免疫学的路线图。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-12 DOI: 10.1038/s41540-025-00553-7
Sylvie Delhalle, Sebastian F N Bode, Rudi Balling, Markus Ollert, Feng Q HeFeng
{"title":"Author Correction: A roadmap towards personalized immunology.","authors":"Sylvie Delhalle, Sebastian F N Bode, Rudi Balling, Markus Ollert, Feng Q HeFeng","doi":"10.1038/s41540-025-00553-7","DOIUrl":"10.1038/s41540-025-00553-7","url":null,"abstract":"","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"75"},"PeriodicalIF":3.5,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12255783/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144619449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-driven synthetic microbes for sustainable future. 可持续未来的数据驱动合成微生物。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-07 DOI: 10.1038/s41540-025-00556-4
Iqra Mariam, Ulrika Rova, Paul Christakopoulos, Leonidas Matsakas, Alok Patel
{"title":"Data-driven synthetic microbes for sustainable future.","authors":"Iqra Mariam, Ulrika Rova, Paul Christakopoulos, Leonidas Matsakas, Alok Patel","doi":"10.1038/s41540-025-00556-4","DOIUrl":"10.1038/s41540-025-00556-4","url":null,"abstract":"<p><p>The escalating global environmental crisis demands transformative biotechnological solutions that are both sustainable and scalable. This perspective advocates Data-Driven Synthetic Microbes (DDSM); engineered microorganisms designed through integrating omics, machine learning, and systems biology to tackle challenges like PFAS degradation, greenhouse gas mitigation, and sustainable biomanufacturing. DDSMs offer a rational framework for developing robust microbial systems, reshaping the future of synthetic biology toward environmental resilience and circular bioeconomy.</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"74"},"PeriodicalIF":3.5,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12234913/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144584437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Genome-scale metabolic model-guided systematic framework for designing customized live biotherapeutic products. 基因组尺度代谢模型引导的定制活生物治疗产品设计系统框架。
IF 3.5 2区 生物学
NPJ Systems Biology and Applications Pub Date : 2025-07-07 DOI: 10.1038/s41540-025-00555-5
Yi Qing Lee, Yoon-Mi Choi, Seo-Young Park, Su-Kyung Kim, Minouk Lee, Dongseok Kim, Lokanand Koduru, Meiyappan Lakshmanan, Sangyong Jung, Mi Jin Kim, Yon Ho Choe, Dong-Yup Lee
{"title":"Genome-scale metabolic model-guided systematic framework for designing customized live biotherapeutic products.","authors":"Yi Qing Lee, Yoon-Mi Choi, Seo-Young Park, Su-Kyung Kim, Minouk Lee, Dongseok Kim, Lokanand Koduru, Meiyappan Lakshmanan, Sangyong Jung, Mi Jin Kim, Yon Ho Choe, Dong-Yup Lee","doi":"10.1038/s41540-025-00555-5","DOIUrl":"10.1038/s41540-025-00555-5","url":null,"abstract":"<p><p>For the successful development of live biotherapeutic products (LBPs), which are promising microbiome-based therapeutics, it is required to rigorously evaluate their quality, safety, and efficacy. To this end, we present a model-guided framework where genome-scale metabolic models (GEMs) can be exploited for characterizing LBP candidate strains and their metabolic interactions with adjacent microbiome and host cells at a systems level. In this perspective, we outline a GEM-based strategy for screening, assessment, and design of personalized multi-strain LBPs.</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"73"},"PeriodicalIF":3.5,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12234829/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144584438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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