{"title":"Protein prenylation in mechanotransduction: implications for disease and therapy.","authors":"Heng Chen, Jian Yang, Qingzhen Yang, Yuanbo Jia, Xiaogang Guo","doi":"10.1016/j.tips.2024.12.008","DOIUrl":"10.1016/j.tips.2024.12.008","url":null,"abstract":"<p><p>The process by which cells translate external mechanical cues into intracellular biochemical signals involves intricate mechanisms that remain unclear. In recent years, research into post-translational modifications (PTMs) has offered valuable insights into this field, spotlighting protein prenylation as a crucial mechanism in cellular mechanotransduction and various human diseases. Protein prenylation, which involves the covalent attachment of isoprenoid groups to specific substrate proteins, profoundly affects the functions of key mechanotransduction proteins such as Rho, Ras, and lamins. This review provides the first comprehensive examination of the connections between prenylation and mechanotransduction, exploring both the mechanistic details and its impact on mechanosensitive cellular behaviors. We further highlight recent evidence linking protein prenylation to diseases associated with disrupted mechanical homeostasis, and outline emerging targeted therapeutic strategies.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"163-179"},"PeriodicalIF":13.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143012267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tension-induced organelle stress: an emerging target in fibrosis.","authors":"FuiBoon Kai, Andrew M Leidal, Valerie M Weaver","doi":"10.1016/j.tips.2024.12.006","DOIUrl":"10.1016/j.tips.2024.12.006","url":null,"abstract":"<p><p>Fibrosis accounts for approximately one-third of disease-related deaths globally. Current therapies fail to cure fibrosis, emphasizing the need to identify new antifibrotic approaches. Fibrosis is defined by the excessive accumulation of extracellular matrix (ECM) and resultant stiffening of tissue stroma. This stiffening appropriates actomyosin-mediated mechanical tension within cells to ultimately affect cell fate decisions and function. Recent studies demonstrate that subcellular organelles are physically connected to the actin cytoskeleton and sensitive to mechanoperturbations. These insights highlight mechanisms that may contribute to the chronic organelle stress in many fibrotic diseases, including those of the lung and liver. In this review, we discuss the hypothesis that a stiffened fibrotic ECM corrupts intracellular mechanical tension to compromise organelle homeostasis. We summarize potential therapeutics that could intervene in this mechanical dialog and that may have clinical benefit for resolving pathological organelle stress in fibrosis.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"117-131"},"PeriodicalIF":13.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11805623/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143012268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rafael Sirera, Manuel Beltrán-Visiedo, Lorenzo Galluzzi
{"title":"A novel pharmacological entity toward integrated multimodal immunotherapy.","authors":"Rafael Sirera, Manuel Beltrán-Visiedo, Lorenzo Galluzzi","doi":"10.1016/j.tips.2024.12.001","DOIUrl":"10.1016/j.tips.2024.12.001","url":null,"abstract":"<p><p>Most solid tumors are insensitive to single-agent immunotherapy, calling for the development of combinatorial treatment regimens. Recently, Lin and collaborators developed a pharmacological platform enabling the combination of different immunotherapies into a single chemical entity. This approach may effectively circumvent obstacles associated with the simultaneous delivery of multiple immunotherapeutic agents.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"95-97"},"PeriodicalIF":13.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142898417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nokomis Ramos-Gonzalez, Balazs R Varga, Susruta Majumdar
{"title":"Advances in the structural understanding of opioid allostery.","authors":"Nokomis Ramos-Gonzalez, Balazs R Varga, Susruta Majumdar","doi":"10.1016/j.tips.2024.12.007","DOIUrl":"10.1016/j.tips.2024.12.007","url":null,"abstract":"<p><p>Activation of the μ opioid receptor (MOR) can give analgesia, but also has dangerous side effects. Drugs that target MOR through an allosteric site, meaning they bind outside of the usual pocket, present a novel mode of receptor activation with different pharmacology relative to orthosteric drugs. Recent structural studies give valuable new information on how allosteric modulators interact with MOR.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"98-101"},"PeriodicalIF":13.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143012265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yan-Ruide Li, Zibai Lyu, Xinyuan Shen, Ying Fang, Lili Yang
{"title":"Boosting CAR-T cell therapy through vaccine synergy.","authors":"Yan-Ruide Li, Zibai Lyu, Xinyuan Shen, Ying Fang, Lili Yang","doi":"10.1016/j.tips.2024.12.004","DOIUrl":"10.1016/j.tips.2024.12.004","url":null,"abstract":"<p><p>Chimeric antigen receptor (CAR)-T cell therapy has transformed the treatment landscape for hematological cancers. However, achieving comparable success in solid tumors remains challenging. Factors contributing to these limitations include the scarcity of tumor-specific antigens (TSAs), insufficient CAR-T cell infiltration, and the immunosuppressive tumor microenvironment (TME). Vaccine-based strategies are emerging as potential approaches to address these challenges, enhancing CAR-T cell expansion, persistence, and antitumor efficacy. In this review, we explore diverse vaccine modalities, including mRNA, peptide, viral vector, and dendritic cell (DC)-based vaccines, and their roles in augmenting CAR-T cell responses. Special focus is given to recent clinical advancements combining mRNA-based vaccines with CAR-T therapy for the treatment of genitourinary cancers. In addition, we discuss crucial considerations for optimizing vaccine dosing, scheduling, and delivery to maximize CAR-T synergy, aiming to refine this combination strategy to improve treatment efficacy and safety.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"180-199"},"PeriodicalIF":13.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142928350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data and AI-driven synthetic binding protein discovery.","authors":"Yanlin Li, Zixin Duan, Zhenwen Li, Weiwei Xue","doi":"10.1016/j.tips.2024.12.002","DOIUrl":"10.1016/j.tips.2024.12.002","url":null,"abstract":"<p><p>Synthetic binding proteins (SBPs) are a class of protein binders that are artificially created and do not exist naturally. Their broad applications in tackling challenges of research, diagnostics, and therapeutics have garnered significant interest. Traditional protein engineering is pivotal to the discovery of SBPs. Recently, this discovery has been significantly accelerated by computational approaches, such as molecular modeling and artificial intelligence (AI). Furthermore, while numerous bioinformatics databases offer a wealth of resources that fuel SBP discovery, the full potential of these data has not yet been fully exploited. In this review, we present a comprehensive overview of SBP data ecosystem and methodologies in SBP discovery, highlighting the critical role of high-quality data and AI technologies in accelerating the discovery of innovative SBPs with promising applications in pharmacological sciences.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"132-144"},"PeriodicalIF":13.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142928460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Therapeutic potential of cannabidiol polypharmacology in neuropsychiatric disorders.","authors":"Olivier J Manzoni, Antonia Manduca, Viviana Trezza","doi":"10.1016/j.tips.2024.12.005","DOIUrl":"10.1016/j.tips.2024.12.005","url":null,"abstract":"<p><p>Cannabidiol (CBD), the primary non-intoxicating compound in cannabis, is currently approved for treating rare, treatment-resistant seizures. Recent preclinical research suggests that CBD's multifaceted mechanisms of action in the brain, which involve multiple molecular targets, underlie its neuroprotective, anti-inflammatory, anxiolytic, and antipsychotic effects. Clinical trials are also exploring CBD's therapeutic potential beyond its current uses. This review focuses on CBD's polypharmacological profile and discusses the latest preclinical and clinical findings regarding its efficacy in neuropsychiatric disorders. Existing evidence suggests that CBD's ability to modulate multiple signaling pathways may benefit neuropsychiatric disorders, and we propose further research areas to clarify its mechanisms, address data gaps, and refine its therapeutic indications.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"145-162"},"PeriodicalIF":13.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143012269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arno R Bourgonje, Marla C Dubinsky, Ron J Keizer, Erwin Dreesen, Paola Mian
{"title":"Model-informed precision dosing in inflammatory bowel diseases.","authors":"Arno R Bourgonje, Marla C Dubinsky, Ron J Keizer, Erwin Dreesen, Paola Mian","doi":"10.1016/j.tips.2024.11.003","DOIUrl":"10.1016/j.tips.2024.11.003","url":null,"abstract":"<p><p>Therapeutic drug monitoring (TDM) for biologic therapies in inflammatory bowel disease (IBD) primarily aims to optimize dosing. However, several unmet needs remain. These include the identification of optimal drug concentrations, accounting for variability in pharmacokinetics (PK) and pharmacodynamics (PD), and the frequent delays between sampling and clinical decision-making. Recent technical advances, such as population PK/PD modeling and model-informed precision dosing (MIPD) tools developed from such models, as well as point-of-care (POC) and self-sampling assays and novel software programs, offer potential solutions. Successful implementation of these innovations may help to establish MIPD for patients with IBD. This would enable personalized dosing, advancing a one-size-fits-all approach to TDM that currently is inadequate to fulfill the needs for every patient with IBD.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"9-19"},"PeriodicalIF":13.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142780911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The 2024 New York City Integrative Structural Biology Symposium.","authors":"Pilar Cossio, Edward T Eng","doi":"10.1016/j.tips.2024.11.001","DOIUrl":"10.1016/j.tips.2024.11.001","url":null,"abstract":"","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"1-8"},"PeriodicalIF":13.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142755577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Leveraging human microbiomes for disease prediction and treatment.","authors":"Henok Ayalew Tegegne, Tor C Savidge","doi":"10.1016/j.tips.2024.11.007","DOIUrl":"10.1016/j.tips.2024.11.007","url":null,"abstract":"<p><p>The human microbiome consists of diverse microorganisms that inhabit various body sites. As these microbes are increasingly recognized as key determinants of health, there is significant interest in leveraging individual microbiome profiles for early disease detection, prevention, and drug efficacy prediction. However, the complexity of microbiome data, coupled with conflicting study outcomes, has hindered its integration into clinical practice. This challenge is partially due to demographic and technological biases that impede the development of reliable disease classifiers. Here, we examine recent advances in 16S rRNA and shotgun-metagenomics sequencing, along with bioinformatics tools designed to enhance microbiome data integration for precision diagnostics and personalized treatments. We also highlight progress in microbiome-based therapies and address the challenges of establishing causality to ensure robust diagnostics and effective treatments for complex diseases.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"32-44"},"PeriodicalIF":13.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786253/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142898445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}