Dávid Nagy, Tamás Radovits, Tímea Bálint, Zoltán Horváth, Petra Kocsis-Balogh, Ákos Gergely Tóth, Attila Oláh, Alex Ali Sayour, Bálint András Barta, Béla Merkely, Mihály Ruppert
Background and purpose: Novel heart failure (HF) pharmacotherapies, including angiotensin receptor-neprilysin inhibitor (ARNI) and sodium-glucose cotransporter 2 inhibitors (SGLT2is), may confer cardiovascular benefits by attenuating myocardial fibrosis. However, direct evidence from human failing myocardial samples is limited. Thus, we assessed the associations of ARNI and SGLT2i therapies with fibrosis on myocardial samples from advanced HF patients undergoing heart transplantation (HTX).
Experimental approach: Ninety-three patients receiving stable combined HF pharmacotherapy (uninterrupted use of β-blockers, mineralocorticoid receptor antagonists, angiotensin-converting enzyme inhibitors or ARNI, and optionally SGLT2is) without the need for pharmacological or mechanical circulatory support for at least three months pre-HTX, were enrolled. Standardized regions of the left ventricular anterior wall from explanted hearts were analysed. The primary outcome was the percentage of interstitial myocardial fibrosis area measured via histology. The expression of pro-fibrotic and pathological remodelling markers was quantified with qRT-PCR.
Key results: Both ARNI and SGLT2i therapies were associated with reduced interstitial collagen accumulation in adjusted analyses. None of the tested clinical parameters (sex, age, serum creatinine, presence of hypertension or diabetes) interacted with the effects of ARNI or SGLT2i on fibrosis. Additionally, no interaction was observed between ARNI and SGLT2i use regarding collagen content. Among the examined genes, ARNI was linked to a decreased beta-to-alpha myosin heavy chain expression ratio, while in SGLT2i-treated patients, reduced mRNA levels of matrix metalloproteinase 9 (MMP9) and tissue inhibitor of metalloproteinases 2 (TIMP2) were observed in adjusted models.
Conclusions and implications: ARNI and SGLT2i therapies might exert anti-fibrotic effects in advanced HF.
{"title":"The anti-fibrotic effects of novel heart failure pharmacotherapies in advanced heart failure patients.","authors":"Dávid Nagy, Tamás Radovits, Tímea Bálint, Zoltán Horváth, Petra Kocsis-Balogh, Ákos Gergely Tóth, Attila Oláh, Alex Ali Sayour, Bálint András Barta, Béla Merkely, Mihály Ruppert","doi":"10.1111/bph.70250","DOIUrl":"https://doi.org/10.1111/bph.70250","url":null,"abstract":"<p><strong>Background and purpose: </strong>Novel heart failure (HF) pharmacotherapies, including angiotensin receptor-neprilysin inhibitor (ARNI) and sodium-glucose cotransporter 2 inhibitors (SGLT2is), may confer cardiovascular benefits by attenuating myocardial fibrosis. However, direct evidence from human failing myocardial samples is limited. Thus, we assessed the associations of ARNI and SGLT2i therapies with fibrosis on myocardial samples from advanced HF patients undergoing heart transplantation (HTX).</p><p><strong>Experimental approach: </strong>Ninety-three patients receiving stable combined HF pharmacotherapy (uninterrupted use of β-blockers, mineralocorticoid receptor antagonists, angiotensin-converting enzyme inhibitors or ARNI, and optionally SGLT2is) without the need for pharmacological or mechanical circulatory support for at least three months pre-HTX, were enrolled. Standardized regions of the left ventricular anterior wall from explanted hearts were analysed. The primary outcome was the percentage of interstitial myocardial fibrosis area measured via histology. The expression of pro-fibrotic and pathological remodelling markers was quantified with qRT-PCR.</p><p><strong>Key results: </strong>Both ARNI and SGLT2i therapies were associated with reduced interstitial collagen accumulation in adjusted analyses. None of the tested clinical parameters (sex, age, serum creatinine, presence of hypertension or diabetes) interacted with the effects of ARNI or SGLT2i on fibrosis. Additionally, no interaction was observed between ARNI and SGLT2i use regarding collagen content. Among the examined genes, ARNI was linked to a decreased beta-to-alpha myosin heavy chain expression ratio, while in SGLT2i-treated patients, reduced mRNA levels of matrix metalloproteinase 9 (MMP9) and tissue inhibitor of metalloproteinases 2 (TIMP2) were observed in adjusted models.</p><p><strong>Conclusions and implications: </strong>ARNI and SGLT2i therapies might exert anti-fibrotic effects in advanced HF.</p>","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145562775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuanying Wang, Di Sun, Nafeisa Dilixiati, Dongmei Wang, Yawen Song, Qiao Ye
Background and purpose: Silicosis is a major cause of occupational disease-related morbidity and mortality worldwide, yet effective pharmacological treatments remain limited. Nerandomilast, a novel inhibitor of phosphodiesterase-4B (PDE4B), has demonstrated anti-fibrotic potential in idiopathic pulmonary fibrosis (IPF); however, its efficacy and mechanisms in silicosis have not been investigated.
Experimental approach: The therapeutic effects (and their underlying mechanisms) of PDE4B inhibition was evaluated in in models of silicosis, both in vivo (male C57BL/6N mice) and in vitro (THP-1 macrophages and MRC-5 cells). Single-cell RNA sequencing, using lung tissue, was first performed to identify PDE4B as a key regulatory target in the pathogenesis of silicosis. Based on this finding, the therapeutic effects and underlying mechanisms of PDE4B inhibition were assessed using nerandomilast. Pulmonary function tests, inflammatory marker analyses and fibrosis evaluations were conducted to determine treatment efficacy. In addition, bulk RNA sequencing and transcriptomic analyses were performed to explore the molecular pathways modulated by nerandomilast.
Key results: PDE4B inhibition effectively prevented and attenuated silica-induced lung inflammation in the mouse model by suppressing both canonical and non-canonical NLRP3 inflammasome pathways in lung macrophages. Furthermore, PDE4B inhibition down-regulated TGF-β/Smad signalling in lung fibroblasts of silicosis, leading to a significant reduction in fibrosis-related gene expression.
Conclusions and implications: These findings suggest that nerandomilast, a PDE4B inhibitor, may be a promising treatment for silicosis, which currently lacks effective therapies.
{"title":"Nerandomilast, a PDE4B inhibitor, alleviates silica-induced lung inflammation and fibrosis by inhibition of NLRP3 inflammasome and TGF-β/Smad signalling.","authors":"Yuanying Wang, Di Sun, Nafeisa Dilixiati, Dongmei Wang, Yawen Song, Qiao Ye","doi":"10.1111/bph.70240","DOIUrl":"https://doi.org/10.1111/bph.70240","url":null,"abstract":"<p><strong>Background and purpose: </strong>Silicosis is a major cause of occupational disease-related morbidity and mortality worldwide, yet effective pharmacological treatments remain limited. Nerandomilast, a novel inhibitor of phosphodiesterase-4B (PDE4B), has demonstrated anti-fibrotic potential in idiopathic pulmonary fibrosis (IPF); however, its efficacy and mechanisms in silicosis have not been investigated.</p><p><strong>Experimental approach: </strong>The therapeutic effects (and their underlying mechanisms) of PDE4B inhibition was evaluated in in models of silicosis, both in vivo (male C57BL/6N mice) and in vitro (THP-1 macrophages and MRC-5 cells). Single-cell RNA sequencing, using lung tissue, was first performed to identify PDE4B as a key regulatory target in the pathogenesis of silicosis. Based on this finding, the therapeutic effects and underlying mechanisms of PDE4B inhibition were assessed using nerandomilast. Pulmonary function tests, inflammatory marker analyses and fibrosis evaluations were conducted to determine treatment efficacy. In addition, bulk RNA sequencing and transcriptomic analyses were performed to explore the molecular pathways modulated by nerandomilast.</p><p><strong>Key results: </strong>PDE4B inhibition effectively prevented and attenuated silica-induced lung inflammation in the mouse model by suppressing both canonical and non-canonical NLRP3 inflammasome pathways in lung macrophages. Furthermore, PDE4B inhibition down-regulated TGF-β/Smad signalling in lung fibroblasts of silicosis, leading to a significant reduction in fibrosis-related gene expression.</p><p><strong>Conclusions and implications: </strong>These findings suggest that nerandomilast, a PDE4B inhibitor, may be a promising treatment for silicosis, which currently lacks effective therapies.</p>","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145548277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kunthurumole S Prashanth, Basavarajaiah Swethakumar, Somanathapura K NaveenKumar, Kollenahalli V Karthik, Rajat Kumar, Gnanesh Kumar Bs, Kesturu S Girish, Kempaiah Kemparaju
Background and purpose: Neutrophil extracellular traps (NETs) play a key role in the local and systemic pathologies induced by Echis carinatus and Naja naja venoms. This study aimed to identify the toxin/s responsible for N. naja venom-induced NET formation.
Experimental approach: N. naja venom was subjected to molecular sieving to identify the toxins responsible for NET formation. The venom was fractionated, and the third fraction, cytotoxin fraction (CTXF), was found to induce vital NET formation. Various in vivo and in vitro experiments were conducted to comprehend the effects and mechanisms involved, including histochemical and immunohistochemical studies. To draw appropriate conclusions, CTXF was comparatively characterised along with purified cardiotoxin (Np-CTX), neurotoxin (Nn-NTX), and phospholipase A2 (VRV-PL-XII).
Key results: CTXF is a non-enzymatic cytotoxin fraction. Peptide analysis revealed that CTXF is a mixture of four cytotoxins/cardiotoxins of molecular mass ranging from 6668 to 6778 Da, and they belong to the 3FTx family. In vivo studies demonstrated that CTXF damaged cardiac muscle extensively, where CTXF and H3Cit specifically localised in the cardiac tissue. CTXF and Np-CTX induced the formation of NETs, whereas Nn-NTX and VRV-PL-XII did not. NET formation was associated with increased intracellular Ca2+ flux via the store-operated Ca2+ entry mechanism, accompanied by alterations in actin dynamics.
Conclusions and implications: This study identified N. naja venom cytotoxins/cardiotoxins of the 3FTx family as key inducers of NETs. The NET-forming mechanism involves a cytosolic Ca2+ spike, resulting in cytoskeletal rearrangements, highlighting potential therapeutic targets for mitigating venom-induced pathologies.
{"title":"Indian cobra (Naja naja) venom-induced neutrophil extracellular trap (NET) formation: The role of cytotoxins and calcium flux.","authors":"Kunthurumole S Prashanth, Basavarajaiah Swethakumar, Somanathapura K NaveenKumar, Kollenahalli V Karthik, Rajat Kumar, Gnanesh Kumar Bs, Kesturu S Girish, Kempaiah Kemparaju","doi":"10.1111/bph.70202","DOIUrl":"https://doi.org/10.1111/bph.70202","url":null,"abstract":"<p><strong>Background and purpose: </strong>Neutrophil extracellular traps (NETs) play a key role in the local and systemic pathologies induced by Echis carinatus and Naja naja venoms. This study aimed to identify the toxin/s responsible for N. naja venom-induced NET formation.</p><p><strong>Experimental approach: </strong>N. naja venom was subjected to molecular sieving to identify the toxins responsible for NET formation. The venom was fractionated, and the third fraction, cytotoxin fraction (CTXF), was found to induce vital NET formation. Various in vivo and in vitro experiments were conducted to comprehend the effects and mechanisms involved, including histochemical and immunohistochemical studies. To draw appropriate conclusions, CTXF was comparatively characterised along with purified cardiotoxin (Np-CTX), neurotoxin (Nn-NTX), and phospholipase A<sub>2</sub> (VRV-PL-XII).</p><p><strong>Key results: </strong>CTXF is a non-enzymatic cytotoxin fraction. Peptide analysis revealed that CTXF is a mixture of four cytotoxins/cardiotoxins of molecular mass ranging from 6668 to 6778 Da, and they belong to the 3FTx family. In vivo studies demonstrated that CTXF damaged cardiac muscle extensively, where CTXF and H3Cit specifically localised in the cardiac tissue. CTXF and Np-CTX induced the formation of NETs, whereas Nn-NTX and VRV-PL-XII did not. NET formation was associated with increased intracellular Ca<sup>2+</sup> flux via the store-operated Ca<sup>2+</sup> entry mechanism, accompanied by alterations in actin dynamics.</p><p><strong>Conclusions and implications: </strong>This study identified N. naja venom cytotoxins/cardiotoxins of the 3FTx family as key inducers of NETs. The NET-forming mechanism involves a cytosolic Ca<sup>2+</sup> spike, resulting in cytoskeletal rearrangements, highlighting potential therapeutic targets for mitigating venom-induced pathologies.</p>","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145556477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>We read Pandey et al.'s article with great interest (Pandey et al., <span>2025</span>). The authors deeply integrated network science, systems pharmacology and multi omics data, and innovatively proposed the ‘network precision medicine’ framework, providing a one-stop solution for disease classification, biomarker discovery, drug target identification and new use of old drugs, significantly improving research and development efficiency and personalized treatment accuracy. This visionary work not only broadens the boundaries of modern pharmacology but also lays a solid methodological foundation for future artificial intelligence (AI) driven precision medicine, which is admirable.</p><p>In addition to the limitations pointed out by the authors, we believe there are three issues worth further discussion. Firstly, the complexity and interpretability of computation, as well as the algorithmic black box nature of high-dimensional networks such as integrated genomes, epigenomes and metabolomes, may make it difficult for clinical doctors to understand the predictive basis, hindering clinical adoption (the article only mentions AI interpretability as a ‘future direction’, without discussing its necessity). Secondly, there is the issue of bias in network construction. Existing protein interaction networks (such as STRING; Szklarczyk et al., <span>2025</span>) tend to focus on more studied proteins (such as kinases and transcription factors), while rare proteins or newly discovered molecules may be systematically overlooked, leading to bias. Then, there is the issue of hierarchical lack of disease heterogeneity. Current network models are mostly based on ‘average patient’ data, but disease subtypes (such as molecular typing of breast cancer; Perou et al., <span>2000</span>) or microenvironment differences (such as tumour immune infiltration; Gentles et al., <span>2015</span>) may not be fully modelled.</p><p>We believe that in the future, by promoting the application of graph neural networks (GNNs; Wu et al., <span>2021</span>), interpretable AI (such as SAVERUNNER and PrediCT algorithms) in biomedical fields, and innovating algorithms to solve ‘black box’ problems, and by integrating multiple omics data and network models to provide new targets or new strategies for rare diseases (such as genetic metabolic diseases), this work will reshape the understanding framework of diseases and drugs and become a hub connecting basic discovery, clinical translation and industrial applications.</p><p>In summary, the authors systematically reviewed the latest developments in network medicine and systems pharmacology, demonstrating how to use network methods to identify disease modules, discover biomarkers, guide drug target selection and new use of old drugs, and providing a new paradigm for precision medicine. In the future, with the expansion of multi omics data and the integration of AI, network medicine is expected to achieve real-time customization of individual
我们饶有兴趣地阅读了Pandey et al.的文章(Pandey et al., 2025)。作者深度整合网络科学、系统药理学和多组学数据,创新提出“网络精准医学”框架,为疾病分类、生物标志物发现、药物靶点鉴定和老药新用提供一站式解决方案,显著提高研发效率和个性化治疗准确性。这项富有远见的工作不仅拓宽了现代药理学的边界,而且为未来人工智能(AI)驱动的精准医学奠定了坚实的方法论基础,令人钦佩。除了作者指出的局限性外,我们认为还有三个问题值得进一步讨论。首先,计算的复杂性和可解释性,以及集成基因组、表观基因组和代谢组等高维网络的算法黑箱性质,可能使临床医生难以理解预测基础,阻碍临床应用(文章仅将人工智能可解释性作为“未来方向”提及,未讨论其必要性)。其次是网络建设中的偏见问题。现有的蛋白质相互作用网络(如STRING; Szklarczyk et al., 2025)往往侧重于研究较多的蛋白质(如激酶和转录因子),而罕见的蛋白质或新发现的分子可能被系统地忽视,从而导致偏倚。然后,还有疾病异质性缺乏等级的问题。目前的网络模型大多基于“普通患者”数据,但疾病亚型(如乳腺癌的分子分型;Perou等人,2000)或微环境差异(如肿瘤免疫浸润;Gentles等人,2015)可能无法完全建模。我们相信,在未来,通过促进图神经网络(gnn;Wu等人,2021),生物医学领域的可解释人工智能(如SAVERUNNER和PrediCT算法),以及解决“黑箱”问题的创新算法,并通过整合多种组学数据和网络模型,为罕见疾病(如遗传代谢性疾病)提供新的靶点或新的策略,这项工作将重塑疾病和药物的理解框架,成为连接基础发现,临床转化和工业应用的枢纽。综上所述,作者系统回顾了网络医学和系统药理学的最新进展,展示了如何利用网络方法识别疾病模块、发现生物标志物、指导药物靶点选择和旧药新用,为精准医疗提供了新的范式。未来,随着多组学数据的扩展和人工智能的融合,网络医疗有望实现个性化诊疗方案的实时定制,加速新药和再利用的突破。刘思怡:写作原稿;写作——审阅和编辑;正式的分析。余泽恺:形式分析;写作-审查和编辑。作者声明,据他们所知,他们没有财务,个人或专业关系,可以解释为潜在的竞争利益在这篇文章中描述的工作。
{"title":"Explainable AI and debiased networks: The ‘last mile’ for precision medicine delivery","authors":"Siyi Liu, Zekai Yu","doi":"10.1111/bph.70276","DOIUrl":"10.1111/bph.70276","url":null,"abstract":"<p>We read Pandey et al.'s article with great interest (Pandey et al., <span>2025</span>). The authors deeply integrated network science, systems pharmacology and multi omics data, and innovatively proposed the ‘network precision medicine’ framework, providing a one-stop solution for disease classification, biomarker discovery, drug target identification and new use of old drugs, significantly improving research and development efficiency and personalized treatment accuracy. This visionary work not only broadens the boundaries of modern pharmacology but also lays a solid methodological foundation for future artificial intelligence (AI) driven precision medicine, which is admirable.</p><p>In addition to the limitations pointed out by the authors, we believe there are three issues worth further discussion. Firstly, the complexity and interpretability of computation, as well as the algorithmic black box nature of high-dimensional networks such as integrated genomes, epigenomes and metabolomes, may make it difficult for clinical doctors to understand the predictive basis, hindering clinical adoption (the article only mentions AI interpretability as a ‘future direction’, without discussing its necessity). Secondly, there is the issue of bias in network construction. Existing protein interaction networks (such as STRING; Szklarczyk et al., <span>2025</span>) tend to focus on more studied proteins (such as kinases and transcription factors), while rare proteins or newly discovered molecules may be systematically overlooked, leading to bias. Then, there is the issue of hierarchical lack of disease heterogeneity. Current network models are mostly based on ‘average patient’ data, but disease subtypes (such as molecular typing of breast cancer; Perou et al., <span>2000</span>) or microenvironment differences (such as tumour immune infiltration; Gentles et al., <span>2015</span>) may not be fully modelled.</p><p>We believe that in the future, by promoting the application of graph neural networks (GNNs; Wu et al., <span>2021</span>), interpretable AI (such as SAVERUNNER and PrediCT algorithms) in biomedical fields, and innovating algorithms to solve ‘black box’ problems, and by integrating multiple omics data and network models to provide new targets or new strategies for rare diseases (such as genetic metabolic diseases), this work will reshape the understanding framework of diseases and drugs and become a hub connecting basic discovery, clinical translation and industrial applications.</p><p>In summary, the authors systematically reviewed the latest developments in network medicine and systems pharmacology, demonstrating how to use network methods to identify disease modules, discover biomarkers, guide drug target selection and new use of old drugs, and providing a new paradigm for precision medicine. In the future, with the expansion of multi omics data and the integration of AI, network medicine is expected to achieve real-time customization of individual","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":"183 2","pages":"217-218"},"PeriodicalIF":7.7,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://bpspubs.onlinelibrary.wiley.com/doi/epdf/10.1111/bph.70276","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145548279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Network medicine and network pharmacology: rational approach to drug development for precision therapeutics.","authors":"Paolo Parini, Joseph Loscalzo","doi":"10.1111/bph.70260","DOIUrl":"https://doi.org/10.1111/bph.70260","url":null,"abstract":"","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145538954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Camila Aburto, Valentina Parada-Goddard, Alejandro San Martín
Background and purpose: Oxidative stress induces a rerouting of metabolic flux from glycolysis to the pentose phosphate pathway. One proposed mechanism involves negative feedback via tonic inhibition of glucose-6-phosphate dehydrogenase by NADPH. However, recent evidence shows that NADPH levels do not decrease 5-s after hydrogen peroxide treatment. This finding is inconsistent with the canonical model wherein a feedback inhibition loop is modulated by NADPH depletion. This inconsistency prompted us to test the involvement of feedback inhibition at high temporal resolution.
Experimental approach: We employed genetically encoded fluorescent indicators for hydrogen peroxide (HyPerRed) and NADPH (iNap1) expressed in human embryonic kidney HEK293 cells. These tools enabled simultaneous real-time, single-cell monitoring of NADPH and hydrogen peroxide.
Key results: Glucose sustained NADPH levels under acute oxidative stress in the first seconds following hydrogen peroxide exposure. This result contradicts the reported feedback inhibition, which is considered one of the fundamental mechanisms to explain the acute rerouting of glycolysis to the pentose phosphate pathway. Furthermore, pharmacological inhibition of G6PDH suggests that the pentose phosphate pathway is the primary source of cytosolic NADPH under oxidative stress. Monitoring NADPH levels following G6PDH inhibition allowed assessment of the NADPH consumption flux, a parameter that rises markedly under oxidative stress.
Conclusion and implications: Our results support an anticipatory phenomenon that maintains NADPH levels under acute hydrogen peroxide exposure, thereby discarding the proposed feedback inhibition loop. This work offers a new perspective on the regulatory nuances of a metabolic pathway involved in ageing, cancer and many other pathological conditions.
{"title":"Activation of the pentose phosphate pathway flux by hydrogen peroxide is not regulated by NADPH-mediated feedback inhibition.","authors":"Camila Aburto, Valentina Parada-Goddard, Alejandro San Martín","doi":"10.1111/bph.70246","DOIUrl":"https://doi.org/10.1111/bph.70246","url":null,"abstract":"<p><strong>Background and purpose: </strong>Oxidative stress induces a rerouting of metabolic flux from glycolysis to the pentose phosphate pathway. One proposed mechanism involves negative feedback via tonic inhibition of glucose-6-phosphate dehydrogenase by NADPH. However, recent evidence shows that NADPH levels do not decrease 5-s after hydrogen peroxide treatment. This finding is inconsistent with the canonical model wherein a feedback inhibition loop is modulated by NADPH depletion. This inconsistency prompted us to test the involvement of feedback inhibition at high temporal resolution.</p><p><strong>Experimental approach: </strong>We employed genetically encoded fluorescent indicators for hydrogen peroxide (HyPerRed) and NADPH (iNap1) expressed in human embryonic kidney HEK293 cells. These tools enabled simultaneous real-time, single-cell monitoring of NADPH and hydrogen peroxide.</p><p><strong>Key results: </strong>Glucose sustained NADPH levels under acute oxidative stress in the first seconds following hydrogen peroxide exposure. This result contradicts the reported feedback inhibition, which is considered one of the fundamental mechanisms to explain the acute rerouting of glycolysis to the pentose phosphate pathway. Furthermore, pharmacological inhibition of G6PDH suggests that the pentose phosphate pathway is the primary source of cytosolic NADPH under oxidative stress. Monitoring NADPH levels following G6PDH inhibition allowed assessment of the NADPH consumption flux, a parameter that rises markedly under oxidative stress.</p><p><strong>Conclusion and implications: </strong>Our results support an anticipatory phenomenon that maintains NADPH levels under acute hydrogen peroxide exposure, thereby discarding the proposed feedback inhibition loop. This work offers a new perspective on the regulatory nuances of a metabolic pathway involved in ageing, cancer and many other pathological conditions.</p>","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145534267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu Ma, Hongzhi Liu, Weinan Zhao, Qi Li, Po Gao, Xiaodan Han, Dipesh Chaudhury, Fang Wang, He Liu, Weifeng Yu, Song Zhang
Background and purpose: Chronic pain is a widespread and debilitating condition with limited treatment options. While the ventral tegmental area (VTA) and posterior hypothalamic nucleus (PH) have been independently implicated in pain modulation, the specific neural circuitry linking them remains unclear. This study aimed to investigate the role of the PH → VTA glutamatergic projection in chronic pain regulation.
Experimental approach: Using a mouse model of neuropathic pain induced by chronic constriction injury (CCI), we combined viral tracing, immunofluorescence, in vitro electrophysiology, optogenetics, chemogenetics and fibre photometry. Behavioural assays were used to assess mechanical allodynia and thermal hyperalgesia following circuit manipulation.
Key results: We identified a glutamatergic projection from PH to VTA dopamine (DA) neurons that modulates pain behaviour. Optogenetic activation of the PH → VTA circuit in naïve mice induced pain-like hypersensitivity. Conversely, inhibition of this pathway reduced pain-related behaviours in CCI mice. Mechanistically, PH activation increased glutamatergic input onto VTA DA neurons, enhancing dopamine release in the nucleus accumbens (NAc). Fibre photometry confirmed increased activity in this circuit during nociceptive states.
Conclusions and implications: Our results define a functional PHGlu → VTADA → NAc circuit that contributes to chronic pain processing. Hyperactivity in this pathway facilitates nociceptive behaviours, while its inhibition exerts analgesic effects. Modulating this circuit may offer new therapeutic strategies for treating chronic pain.
{"title":"A posterior hypothalamic to midbrain circuit orchestrating nociceptive behaviours in male mice.","authors":"Yu Ma, Hongzhi Liu, Weinan Zhao, Qi Li, Po Gao, Xiaodan Han, Dipesh Chaudhury, Fang Wang, He Liu, Weifeng Yu, Song Zhang","doi":"10.1111/bph.70227","DOIUrl":"https://doi.org/10.1111/bph.70227","url":null,"abstract":"<p><strong>Background and purpose: </strong>Chronic pain is a widespread and debilitating condition with limited treatment options. While the ventral tegmental area (VTA) and posterior hypothalamic nucleus (PH) have been independently implicated in pain modulation, the specific neural circuitry linking them remains unclear. This study aimed to investigate the role of the PH → VTA glutamatergic projection in chronic pain regulation.</p><p><strong>Experimental approach: </strong>Using a mouse model of neuropathic pain induced by chronic constriction injury (CCI), we combined viral tracing, immunofluorescence, in vitro electrophysiology, optogenetics, chemogenetics and fibre photometry. Behavioural assays were used to assess mechanical allodynia and thermal hyperalgesia following circuit manipulation.</p><p><strong>Key results: </strong>We identified a glutamatergic projection from PH to VTA dopamine (DA) neurons that modulates pain behaviour. Optogenetic activation of the PH → VTA circuit in naïve mice induced pain-like hypersensitivity. Conversely, inhibition of this pathway reduced pain-related behaviours in CCI mice. Mechanistically, PH activation increased glutamatergic input onto VTA DA neurons, enhancing dopamine release in the nucleus accumbens (NAc). Fibre photometry confirmed increased activity in this circuit during nociceptive states.</p><p><strong>Conclusions and implications: </strong>Our results define a functional PH<sup>Glu</sup> → VTA<sup>DA</sup> → NAc circuit that contributes to chronic pain processing. Hyperactivity in this pathway facilitates nociceptive behaviours, while its inhibition exerts analgesic effects. Modulating this circuit may offer new therapeutic strategies for treating chronic pain.</p>","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145534199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Felipe de Jesús Salazar-Ramírez, Luis Alberto Luévano-Martínez, Abraham Méndez-Fernández, Judith Bernal-Ramírez, Carolina A Morales-Ochoa, Christian Silva-Platas, Alfredo Cabrera-Orefice, Ana C Murrieta, José Luis Velasco-Bolom, Gricelda Mendiola-Garza, Flavio Contreras-Torres, Guillermo Torre-Amione, Ernesto A Aiello, Gerardo García-Rivas
Background and purpose: Ventricular arrhythmias are a leading cause of death among patients with cardiovascular diseases and are associated with elevated levels of catecholamines. Mitochondrial Ca2+ transport is essential for initiating an adrenergic response. However, continuous stimulation might lead to mitochondrial Ca2+ overload and dysfunction within cardiac tissue. This study investigates the role of mitochondrial Ca2+ in lethal arrhythmogenesis and the effects of its modulation.
Experimental approach: Male C57BL/6 mice were administered either Ru360 (oxo-bridged dinuclear ruthenium ammine complex) a potent and selective mitochondrial Ca2+ transport inhibitor, or normal saline via intravenous injection. A baseline electrocardiogram (ECG) was recorded, followed by subcutaneous administration of isoprenaline. The ECG was monitored for an additional 20 min, after which cardiomyocytes and mitochondria were isolated for further characterization studies.
Key results: Isoprenaline administration led to ventricular tachycardia and fibrillation, but Ru360 pretreatment successfully prevented these arrhythmias. Mitochondria from isoprenaline-treated hearts showed higher Ca2+ content, indicating overload that compromised mitochondrial function and membrane integrity, evidenced by decreased respiratory control, reduced Ca2+ retention capacity and diminished membrane potential. Isoprenaline also increased oxidative stress, illustrated by elevated peroxide production, electron leak and acute oxidative modifications, and erratic cellular Ca2+ dynamics. This mitochondrial dysfunction correlated with a decreased respirasome activity, but not a difference in respirasome abundance quantified by complexome profiling, which was prevented by Ru360 pretreatment.
Conclusion: Mitochondrial Ca2+ overload significantly contributes to arrhythmias by disrupting respirasome function and increasing oxidative stress, impairing cellular Ca2+ dynamics. Modulating mitochondrial Ca2+ transport might be a promising strategy for developing innovative antiarrhythmic therapies.
{"title":"Mitochondrial Ca<sup>2+</sup> overload is a pivotal risk factor for lethal ventricular arrhythmias due to the oxidation of mitochondrial respirasome and energetic failure.","authors":"Felipe de Jesús Salazar-Ramírez, Luis Alberto Luévano-Martínez, Abraham Méndez-Fernández, Judith Bernal-Ramírez, Carolina A Morales-Ochoa, Christian Silva-Platas, Alfredo Cabrera-Orefice, Ana C Murrieta, José Luis Velasco-Bolom, Gricelda Mendiola-Garza, Flavio Contreras-Torres, Guillermo Torre-Amione, Ernesto A Aiello, Gerardo García-Rivas","doi":"10.1111/bph.70253","DOIUrl":"https://doi.org/10.1111/bph.70253","url":null,"abstract":"<p><strong>Background and purpose: </strong>Ventricular arrhythmias are a leading cause of death among patients with cardiovascular diseases and are associated with elevated levels of catecholamines. Mitochondrial Ca<sup>2+</sup> transport is essential for initiating an adrenergic response. However, continuous stimulation might lead to mitochondrial Ca<sup>2+</sup> overload and dysfunction within cardiac tissue. This study investigates the role of mitochondrial Ca<sup>2+</sup> in lethal arrhythmogenesis and the effects of its modulation.</p><p><strong>Experimental approach: </strong>Male C57BL/6 mice were administered either Ru360 (oxo-bridged dinuclear ruthenium ammine complex) a potent and selective mitochondrial Ca<sup>2+</sup> transport inhibitor, or normal saline via intravenous injection. A baseline electrocardiogram (ECG) was recorded, followed by subcutaneous administration of isoprenaline. The ECG was monitored for an additional 20 min, after which cardiomyocytes and mitochondria were isolated for further characterization studies.</p><p><strong>Key results: </strong>Isoprenaline administration led to ventricular tachycardia and fibrillation, but Ru360 pretreatment successfully prevented these arrhythmias. Mitochondria from isoprenaline-treated hearts showed higher Ca<sup>2+</sup> content, indicating overload that compromised mitochondrial function and membrane integrity, evidenced by decreased respiratory control, reduced Ca<sup>2+</sup> retention capacity and diminished membrane potential. Isoprenaline also increased oxidative stress, illustrated by elevated peroxide production, electron leak and acute oxidative modifications, and erratic cellular Ca<sup>2+</sup> dynamics. This mitochondrial dysfunction correlated with a decreased respirasome activity, but not a difference in respirasome abundance quantified by complexome profiling, which was prevented by Ru360 pretreatment.</p><p><strong>Conclusion: </strong>Mitochondrial Ca<sup>2+</sup> overload significantly contributes to arrhythmias by disrupting respirasome function and increasing oxidative stress, impairing cellular Ca<sup>2+</sup> dynamics. Modulating mitochondrial Ca<sup>2+</sup> transport might be a promising strategy for developing innovative antiarrhythmic therapies.</p>","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145522935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background and purpose: Drug repurposing (DR) presents a compelling alternative to traditional drug discovery, offering lower risk and cost by applying approved drugs to new indications. Computational methods play a vital role in early-stage drug repurposing and the development of robust computational workflows can accelerate antibiotic discovery.
Experimental approach: We established a novel computational workflow comprising three key steps: target screening (based on CEG 2.0 database), drug screening (utilizing DrugBank database, antiBac-Pred database, molecular docking and molecular dynamics [MD] simulation) and in vitro antibacterial experiments.
Key results: Our workflow identified numerous commercially available drugs predicted to target the bacterial chaperone GroEL. Antibacterial assays revealed that both daprodustat and ezetimibe exhibited efficacy against Staphylococcus aureus and Escherichia coli ΔtolC. Notably, the efflux pump inhibitor PAβN enhanced the antibacterial efficacy of daprodustat against both S. aureus and E. coli, while potentiating the antibacterial potency of ezetimibe specifically against S. aureus. MD simulations confirmed stable binding of both drugs to S. aureus or E. coli GroEL, aligning with the antibacterial results.
Conclusion and implications: This study validated our computational workflow for repurposing non-antibacterial drugs as antibacterial agents, demonstrating that cost-effective, computer-aided drug repurposing is a feasible strategy for identifying new therapeutic approaches to diseases, such as cancer, diabetes and COVID-19. Furthermore, the synergistic effect of daprodustat combined with an efflux pump inhibitor (e.g. PAβN) represents a promising therapeutic approach against both Gram-positive and Gram-negative bacterial pathogens.
{"title":"A computer-aided drug repurposing: the antibacterial agents targeting GroEL.","authors":"Dongdong Zhang, Feng-Biao Guo, Haotian Li","doi":"10.1111/bph.70252","DOIUrl":"https://doi.org/10.1111/bph.70252","url":null,"abstract":"<p><strong>Background and purpose: </strong>Drug repurposing (DR) presents a compelling alternative to traditional drug discovery, offering lower risk and cost by applying approved drugs to new indications. Computational methods play a vital role in early-stage drug repurposing and the development of robust computational workflows can accelerate antibiotic discovery.</p><p><strong>Experimental approach: </strong>We established a novel computational workflow comprising three key steps: target screening (based on CEG 2.0 database), drug screening (utilizing DrugBank database, antiBac-Pred database, molecular docking and molecular dynamics [MD] simulation) and in vitro antibacterial experiments.</p><p><strong>Key results: </strong>Our workflow identified numerous commercially available drugs predicted to target the bacterial chaperone GroEL. Antibacterial assays revealed that both daprodustat and ezetimibe exhibited efficacy against Staphylococcus aureus and Escherichia coli ΔtolC. Notably, the efflux pump inhibitor PAβN enhanced the antibacterial efficacy of daprodustat against both S. aureus and E. coli, while potentiating the antibacterial potency of ezetimibe specifically against S. aureus. MD simulations confirmed stable binding of both drugs to S. aureus or E. coli GroEL, aligning with the antibacterial results.</p><p><strong>Conclusion and implications: </strong>This study validated our computational workflow for repurposing non-antibacterial drugs as antibacterial agents, demonstrating that cost-effective, computer-aided drug repurposing is a feasible strategy for identifying new therapeutic approaches to diseases, such as cancer, diabetes and COVID-19. Furthermore, the synergistic effect of daprodustat combined with an efflux pump inhibitor (e.g. PAβN) represents a promising therapeutic approach against both Gram-positive and Gram-negative bacterial pathogens.</p>","PeriodicalId":9262,"journal":{"name":"British Journal of Pharmacology","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145522737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}