Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease exhibiting the poorest prognosis among solid tumors. The efficacy of conventional therapies has been hindered largely due to the insufficient chemotherapeutic delivery to the dense desmoplastic tumor stroma, and the extremely high or toxic dose needed for chemotherapy. Traditional Chinese Medicine (TCM) contains effective components that can effectively regulate tumor microenvironment and kill tumor cells, providing promising alternatives to PDAC chemotherapy. In this study, two active drug monomers of TCM were screened out and a sequentially targeting delivery regimen was developed to realize the optimized combinational therapy. Transforming growth factor-β (TGF-β) plays an indispensable role in promoting cancer-associated fibroblasts (CAFs) activation and proliferation, and CAFs have caused major physical barriers for chemotherapeutic drug delivery. Herein, CAFs-targeting biodegradable polymer nanoparticle (CRE-NP(α-M)) coated with CREKA peptide and loaded with TCM α-mangostin (α-M) was developed to modulate tumor microenvironment by interfering of TGF-β/Smad signaling pathway. Low pH-triggered micelle modified with CRPPR peptide and loaded with another TCM triptolide was constructed to increase the therapeutic effect of triptolide at the tumor sites and reduced its damage to main organs. As expected, CRE-NP(α-M) effectively inactived CAFs, reduced extracellular matrix production, promoted tumor vascular normalization and enhanced blood perfusion at the tumor site. The sequentially targeting drug delivery regimen, CRP-MC(Trip) following CRE-NP(α-M) pretreatment, exhibited strong tumor growth inhibition effect in the orthotopic tumor model. Hence, sequentially targeting delivery of nanoformulated TCM offers an efficient approach to overcome the permeation obstacles and improve the effect of chemotherapy on PDAC, and provides a novel option to treat desmoplastic tumors.
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http://dx.doi.org/10.1016/j.biomaterials.2020.119907 | DOI Listing |
EBioMedicine
December 2024
Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Nanhu Brain-Computer Interface Institute, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory of Precision Psychiatry, Hangzhou, 310003, China; Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 311121, China; Brain Research Institute of Zhejiang University, Hangzhou, 310058, China; MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University School of Medicine, Hangzhou, 310058, China; Department of Psychology and Behavioral Sciences, Graduate School, Zhejiang University, Hangzhou, 310058, China. Electronic address:
Background: Increasing evidence suggests a complex interplay between psychiatric disorders and metabolic dysregulations. However, most research has been limited to specific disorder pairs, leaving a significant gap in our understanding of the broader psycho-metabolic nexus.
Methods: This study leveraged large-scale cohort data and genome-wide association study (GWAS) summary statistics, covering 8 common psychiatric disorders and 43 metabolic traits.
Commun Biol
December 2024
College of Computer Science and Technology, Ocean University of China, Qingdao, China.
Understanding the function of proteins is of great significance for revealing disease pathogenesis and discovering new targets. Benefiting from the explosive growth of the protein universal, deep learning has been applied to accelerate the protein annotation cycle from different biological modalities. However, most existing deep learning-based methods not only fail to effectively fuse different biological modalities, resulting in low-quality protein representations, but also suffer from the convergence of suboptimal solution caused by sparse label representations.
View Article and Find Full Text PDFSoc Sci Med
December 2024
Michigan State University College of Human Medicine, Department of Family Medicine, 788 Service Road, East Lansing, MI, 48824, USA; Departments of Anesthesiology and Pediatrics at Michigan Medicine, USA. Electronic address:
This study examined the relative impact of earlier versus proximal childhood exposures to family adversities (parental health problems, family conflict, financial hardship, abuse, violence) and supportive caregiving (warm and supportive parenting behaviors) on youths' symptom trajectories across early adolescence. We used parent-reported survey data to differentiate co-occurring Pain, Psychological, and Somatic Symptom (Pain-PSS) trajectories among youth in the longitudinal Adolescent Brain Cognitive Development Study® (2016-2022). Family adversities and supportive caregiving were derived from youth and parent surveys and coded as occurring earlier (by age 9-11yrs; baseline) or proximally (occurring during study follow-up years 1-4; by age 11-15yrs).
View Article and Find Full Text PDFJ Natl Compr Canc Netw
December 2024
1Division of Thoracic Tumor Multimodality Treatment, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
EGFR tyrosine kinase inhibitors (TKIs) have significantly improved clinical outcomes for patients with non-small cell lung cancer (NSCLC) harboring EGFR-activating mutations. However, resistance to TKI therapy often develops due to secondary EGFR mutations or the activation of bypass signalling pathways. Next-generation sequencing (NGS) can efficiently identify actionable genetic alterations throughout treatment.
View Article and Find Full Text PDFEnviron Manage
December 2024
Institut national de la recherche scientifique, Centre Eau Terre Environnement, 490 rue de la Couronne Street, Quebec City, QC, G1K9A9, Canada.
The cumulative effects of human activities and natural pressures pose significant threats to ecosystem functioning and global biodiversity. Assessing the cumulative impact of multiple stressors-whether acting simultaneously or sequentially and directly or indirectly-is challenging due to their complex interactions. Consequently, these interactions may be unintentionally overlooked or disregarded in management decisions.
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