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Antibiotic treatments often fail to eliminate bacterial populations due to heterogeneity in how individual cells respond to the drug. In structured bacterial populations such as biofilms, bacterial metabolism and environmental transport processes lead to an emergent phenotypic structure and self-generated nutrient gradients toward the interior of the colony, which can affect cell growth, gene expression and susceptibility to the drug. Even in single cells, survival depends on a dynamic interplay between the drug's action and the expression of resistance genes. How expression of resistance is coordinated across populations in the presence of such spatiotemporal environmental coupling remains elusive. Using a custom microfluidic device, we observe the response of spatially extended microcolonies of tetracycline-resistant to precisely defined dynamic drug regimens. We find an intricate interplay between drug-induced changes in cell growth and growth-dependent expression of resistance genes, resulting in the redistribution of metabolites and the reorganization of growth patterns. This dynamic environmental feedback affects the regulation of drug resistance differently across the colony, generating dynamic phenotypic structures that maintain colony growth during exposure to high drug concentrations and increase population-level resistance to subsequent exposures. A mathematical model linking metabolism and the regulation of gene expression is able to capture the main features of spatiotemporal colony dynamics. Uncovering the fundamental principles that govern collective mechanisms of antibiotic resistance in spatially extended populations will allow the design of optimal drug regimens to counteract them.
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http://dx.doi.org/10.3389/fmicb.2022.740259 | DOI Listing |
Research (Wash D C)
September 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype, characterized by a high propensity for metastasis, poor prognosis, and limited treatment options. Research has demonstrated a substantial correlation between the expression of protein arginine N-methyltransferase 1 (PRMT1) and enhanced proliferation, metastasis, and poor outcomes in TNBC. However, the specific role of PRMT1 in lung metastasis and chemoresistance remains unclear.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Thoracic Surgery, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.
Background: Lung cancer remains the leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis, molecular heterogeneity, and therapy resistance. Key biomarkers such as EGFR, ALK, KRAS, and PD-1 have revolutionized precision oncology; however, comprehensive structural and clinical validation of these targets is crucial to enhance therapeutic efficacy.
Methods: Protein sequences for EGFR, ALK, KRAS, and PD-1 were retrieved from UniProt and modeled using SWISS-MODEL to generate high-confidence 3D structures.
Front Immunol
September 2025
Precision Pharmacy and Drug Development Center, Department of Pharmacy, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Gliomas are the most common primary malignant tumors of the central nervous system (CNS), and despite progress in molecular diagnostics and targeted therapies, their prognosis remains poor. In recent years, immunotherapy has emerged as a promising treatment modality in cancer therapy. However, the inevitable immune evasion by tumor cells is a key barrier affecting therapeutic efficacy.
View Article and Find Full Text PDFMed Int (Lond)
August 2025
Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China.
Punicalagin, a polyphenolic compound extracted from pomegranate peel, has received increasing attention in recent years due to its antibacterial and antiviral properties. Punicalagin is capable of inhibiting bacterial growth at sub-inhibitory concentrations by affecting cell membrane formation, disrupting membrane integrity, altering cell permeability, affecting efflux pumps, interfering with quorum sensing and influencing virulence factors. Additionally, punicalagin inhibits viruses by modulating enzyme activity, interacting with viral surface proteins, affecting gene expression, blocking viral attachment, disrupting virus receptor interaction and inhibiting viral replication.
View Article and Find Full Text PDFExp Ther Med
November 2025
Department of Obstetrics and Gynecology, Affiliated Maternity and Child Health Care Hospital of Nantong University, Nantong, Jiangsu 226007, P.R. China.
Gestational diabetes mellitus (GDM), a type of diabetes mellitus occurring in pregnant women, increases the risk of birth trauma. Solute carrier family 2 member 4 (SLC2A4) polymorphism is notably associated with GDM susceptibility; however, the mechanism is unknown. In the present study, HTR-8/SVneo cells were treated with high glucose concentrations and transfected with SLC2A4 and Forkhead box O (FoxO)1 to investigate their roles in the insulin (INS) resistance of GDM trophoblast cells.
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