Mechanisms Of Drug Resistance Research Articles

Identification of Aberrant Expression of Gemcitabine-Targeting Proteins in Drug-Resistant Cells Using an Activity-Based Gemcitabine Probe.

Gemcitabine-based monotherapy or combination therapy has become the standard treatment for locally advanced and metastatic pancreatic cancer. However, the emergence of resistance within weeks of treatment severely compromises therapeutic efficacy. The intricate biological process of gemcitabine resistance in pancreatic cancer presents a complex challenge, as the underlying mechanisms remain unclear. Identifying the target protein of gemcitabine is crucial for studying its drug-resistance mechanism. An activity-based probe is a powerful tool for studying drug target proteins, but the current lack of activity-based gemcitabine probes with robust biological activity hinders research on gemcitabine. In this study, we developed three active probes based on gemcitabine, among which Gem-3 demonstrated excellent stability and labeling efficacy. We utilized Gem-3 in conjunction with chemical proteomics to identify intracellular target proteins. We identified 79 proteins that interact with gemcitabine, most of which were previously unknown and represented various functional classes. Additionally, we validated the increased expression of IFIT3 and MARCKS in drug-resistant cells, along with the activation of the NF-κB signaling pathway. These findings substantially contribute to our comprehension of gemcitabine's target proteins and further our understanding of the mechanisms driving gemcitabine resistance in pancreatic cancer cells.

Current Drug Resistance Mechanisms and Treatment Options in Gastrointestinal Stromal Tumors: Summary and Update.

Gastrointestinal stromal tumor (GIST) is characterized by well-defined oncogenes. Despite the significant improvement in treatment outcomes with adjuvant imatinib therapy for patients, drug resistance remains a major challenge for GIST therapy. This review focuses on the mechanisms contributing to drug resistance phenotype in GIST, such as primary imatinib-resistant mutants, secondary mutations, non-covalent binding of TKI to its target, tumor heterogeneity, re-activation of pro-survival/proliferation pathways through non-KIT/PDGFRA kinases, and loss of therapeutic targets in wild-type GIST. Corresponding suggestions are proposed to overcome drug-resistance phenotype of GIST. This review also summarizes the suitability of currently approved TKIs on different KIT/PDGFRA mutations and updates related clinical trials. Recent potent drugs and emerging strategies against advanced GISTs in clinical trials are presented. Additionally, metabolic intervention offers a new avenue for clinical management in GIST. A landscape of metabolism in GIST and metabolic changes under imatinib treatment are summarized based on currently published data. The OXPHOS pathway is a promising therapeutic target in combination with TKI against sensitive KIT/PDGFRA mutants. Comprehensive understanding of the above resistance mechanisms, experimental drugs/strategies and metabolic changes is critical to implement the proper therapy strategy and improve the clinical therapy outcomes for GIST.

Single-cell multiomics: a new frontier in drug research and development

Single-cell multiomics (sc-multiomics) is a burgeoning field that simultaneously integrates multiple layers of molecular information, enabling the characterization of dynamic cell states and activities in development and disease as well as treatment response. Studying drug actions and responses using sc-multiomics technologies has revolutionized our understanding of how small molecules intervene for specific cell types in cancer treatment and how they are linked with disease etiology and progression. Here, we summarize recent advances in sc-multiomics technologies that have been adapted and improved in drug research and development, with a focus on genome-wide examination of drug-chromatin engagement and the applications in drug response and the mechanisms of drug resistance. Furthermore, we discuss how state-of-the-art technologies can be taken forward to devise innovative personalized treatment modalities in biomedical research.

Next-Generation Cancer Phenomics: A Transformative Approach to Unraveling Lung Cancer Complexity and Advancing Precision Medicine.

Lung cancer remains one of the leading causes of cancer-related deaths globally, with its complexity driven by intricate and intertwined genetic, epigenetic, and environmental factors. Despite advances in genomics, transcriptomics, and proteomics, understanding the phenotypic diversity of lung cancer has lagged behind. Next-generation phenomics, which integrates high-throughput phenotypic data with multiomics approaches and digital technologies such as artificial intelligence (AI), offers a transformative strategy for unraveling the complexity of lung cancer. This approach leverages advanced imaging, single-cell technologies, and AI to capture dynamic phenotypic variations at cellular, tissue, and whole organism levels and in ways resolved in temporal and spatial contexts. By mapping the high-throughput and spatially and temporally resolved phenotypic profiles onto molecular alterations, next-generation phenomics provides deeper insights into the tumor microenvironment, cancer heterogeneity, and drug efficacy, safety, and resistance mechanisms. Furthermore, integrating phenotypic data with genomic and proteomic networks allows for the identification of novel biomarkers and therapeutic targets in ways informed by biological structure and function, fostering precision medicine in lung cancer treatment. This expert review examines and places into context the current advances in next-generation phenomics and its potential to redefine lung cancer diagnosis, prognosis, and therapy. It highlights the emerging role of AI and machine learning in analyzing complex phenotypic datasets, enabling personalized therapeutic interventions. Ultimately, next-generation phenomics holds the promise of bridging the gap between molecular alterations and clinical and population health outcomes, providing a holistic understanding of lung cancer biology that could revolutionize its management and improve patient survival rates.

A BPTF Inhibitor That Interferes with the Multidrug Resistance Pump to Sensitize Murine Triple-Negative Breast Cancer Cells to Chemotherapy

Triple-negative breast cancer (TNBC) is associated with a generally poor prognosis due to its highly aggressive and metastatic nature, lack of targetable receptors, as well as the frequent development of resistance to chemotherapy. We previously reported that AU1, a small molecule developed as an inhibitor of BPTF (bromodomain PHD finger-containing transcription factor), was capable of sensitizing preclinical models of TNBC to chemotherapy in part via the promotion of autophagy. In studies reported here, we identify an additional property of this compound, specifically that sensitization is associated with the inhibition of the P-glycoprotein (P-gp) efflux pump. In silico molecular docking studies indicate that AU1 binds to active regions of the efflux pump in a manner consistent with the inhibition of the pump function. This work identifies a novel chemical structure that can influence multidrug efflux, an established mechanism of drug resistance in TNBC, that has not yet been successfully addressed by clinical efforts.

Base editing screens define the genetic landscape of cancer drug resistance mechanisms.

Drug resistance is a principal limitation to the long-term efficacy of cancer therapies. Cancer genome sequencing can retrospectively delineate the genetic basis of drug resistance, but this requires large numbers of post-treatment samples to nominate causal variants. Here we prospectively identify genetic mechanisms of resistance to ten oncology drugs from CRISPR base editing mutagenesis screens in four cancer cell lines using a guide RNA library predicted to install 32,476 variants in 11 cancer genes. We identify four functional classes of protein variants modulating drug sensitivity and use single-cell transcriptomics to reveal how these variants operate through distinct mechanisms, including eliciting a drug-addicted cell state. We identify variants that can be targeted with alternative inhibitors to overcome resistance and functionally validate an epidermal growth factor receptor (EGFR) variant that sensitizes lung cancer cells to EGFR inhibitors. Our variant-to-function map has implications for patient stratification, therapy combinations and drug scheduling in cancer treatment.

Genetic analysis of drug resistance mechanisms and phylogenetic clustering in Candida auris isolates from Western India

Objectives: Candida auris is an emerging multidrug-resistant fungal pathogen that poses a significant threat to global health. Limited information is available from the Indian subcontinent regarding mutations associated with drug resistance and genetic variability among the isolates. In this study, we employed whole-genome sequencing (WGS) to investigate the genetic variations and drug resistance mechanisms within C. auris isolates from the western region of India. Materials and Methods: A total of twenty archived isolates were subjected to WGS on the Illumina NextSeq 2000 platform. A set of 18 genes was analyzed to check for the presence of drug-resistant mutations. Phylogenetic analysis was done using MEGA v6.06 software to identify the C. auris subgroup or clade and to check genetic relatedness among species. Statistical Analysis: The data related to drug resistance were presented in numbers and percentages. Results: Through manual analysis, drug-resistant mutations were detected in ERG11, CDR1, and TAC1b genes, which are known to be associated with reduced susceptibility to antifungal agents. Phylogenetic analysis revealed that all the isolates clustered within Clade I, indicating a high degree of genetic similarity among isolates. The absence of comprehensive antifungal mutation databases and automated tools for drug resistance detection necessitated the utilization of specialized computational skills of bioinformaticians for data analysis. Conclusions: The study provides valuable insights into the genetic diversity and drug resistance mechanisms of C. auris isolates in the western region of India and emphasizes the need for continued research and surveillance to combat this emerging pathogen. Our findings underscore the need for the development of user-friendly automated tools and comprehensive databases to facilitate rapid and accurate identification of drug resistance in C. auris.

SPECC1 as a pan-cancer biomarker: unraveling its role in drug sensitivity and resistance mechanisms

Previous studies have shown a relationship between SPECC1 and the prognosis of breast cancer, indicating a potential function for SPECC1 in the initiation and progression of cancer. However, the role played by SPECC1 in other tumors is not yet known. Therefore, we used bioinformatics techniques to conduct a thorough investigation into the possible mechanism of SPECC1 in pan-cancer, analyzing data reported in the literature as well as databases such as GTEx and CCLE, cBioportal, TCGA, and UCSC XENA. Comparing the results with matching normal tissues, the majority of cancers, including pancreatic adenocarcinoma (PAAD) and breast invasive carcinoma (BRCA), exhibited higher levels of SPECC1, while hepatocellular carcinoma (HCC) showed lower expression levels. SPECC1 was also found to be genetically mutated in endometrial cancer, sarcoma, and esophageal cancer. The prognosis of lung adenocarcinoma, kidney papillary cell carcinoma, and breast cancer is highly correlated with dysregulation of SPECC1 expression. This work helps guide clinical therapy by highlighting the sensitivity of tumor-treating medicines and the prognostic importance of SPECC1 in various malignancies. KEGG pathway enrichment analysis revealed focused adhesion, collagen-containing extracellular matrix (collagen), and the primary enrichment domains for SPECC1-related genes. These findings were obtained through gene annotation (GO) examination of SPECC1 expression. Primary mediators of the cytokine-cytokine receptor interaction include PICOC1-associated genes, cell-substrate junction genes, and extracellular matrix containing collagen. PICOC1-associated genes primarily mediate the PI3K-AKT signaling pathway. Drug sensitivity assay showed that SPECC1 high-expressing cell lines were more sensitive to docetaxel, doxorubicin, etc. In conclusion, the current study shows how SPECC1 is expressed in different cancers and how this expression relates to the prognosis of the tumor. It also revealed the mutations and copy number variations of SPECC1 in various tumors and its potential involvement in cellular pathway regulatory networks and cytological processes. This study examines the relationship between immune genes, cellular infiltration, and immunological scores in the tumor microenvironment, which explain the severity of the disease. This study looks at the response of SPEC1 expression to anticancer therapy. Explains the prognostic significance and drug response of SPECC-1.

Mechanisms of drug resistance to neoadjuvant chemotherapy in breast cancer

Aim. Тo study the molecular genetic characteristics of the tumor microenvironment and the mechanisms of cell death in resistant locally advanced breast cancer.Materials and methods. The study included 48 patients with breast cancer T2–4N0–3M0–1 (mean age 55.6 ± 9.8 years), and 29 patients of comparable age with breast fibroadenoma. According to the design of the study, patients were divided into groups: Group 1 included women with breast cancer resistant to neoadjuvant chemotherapy (n = 23), Group 2 – with breast cancer and a complete response to neoadjuvant chemotherapy (n = 25), control Group – with fibroadenoma (n = 29). The expression of markers CD4+, CD8+, CD20+, CD68+, tumor necrosis factor α (TNF-α), vascular endothelial growth factor A (VEGF A), Ang-2, matrix metalloproteinase 12 (MMP-12), inducible nitric oxide synthase (iNOS), bcl-2, p53, CD95 was assessed using immunohistochemistry.Results. When phenotyping immune cells, the following differences were obtained: in the tumor tissue of patients in Group 1, a significant decrease in the number of cytotoxic CD8+ cells was noted compared to Group 2 (p = 0.001) and control (p = 0.032). In Group 2, a significant increase in the number of CD68+ cells was revealed in relation to Group 1 (p = 0.027). The cytokine profile of the tumor microenvironment in Group 1 is characterized by statistically significant overexpression of TNF-α compared to Group 2 (p >0.001) and the control Group (p = 0.01). With regard to apoptotic factors, noteworthy is the significant decrease in the expression of bcl-2 and p53 in Group 1 compared to Group 2 (p = 0.001 and p = 0.02 accordingly).Conclusion. The presented results can serve as the basis for the creation of diagnostic algorithms that have predictive value regarding the effectiveness of NCT, and also to help identify new targets to justify the use of combined breast cancer treatments in the early stage.

3D Scaffold-Based Culture System Enhances Preclinical Evaluation of Natural Killer Cell Therapy in A549 Lung Cancer Cells.

Cell-based immunotherapies have emerged as promising cancer treatment modalities, demonstrating remarkable clinical efficacy. As interest in applying immune cell-based therapies to solid tumors has gained momentum, experimental models that enable long-term monitoring and mimic clinical administration are increasingly necessary. This study explores the potential of scaffold-based cell culture technologies, specifically three-dimensional (3D) extracellular matrix (ECM)-like frameworks, as promising solutions. These frameworks facilitate unhindered immune cell growth and enable continuous cancer cell culture. The three-dimensional (3D) cell culture model was developed using tailored scaffolds for natural killer (NK) cell culture. Within this framework, A549 lung cancer cells were cocultured with NK cells, allowing real-time monitoring for up to 28 days. The expression of critical markers associated with anticancer drug resistance and epithelial-mesenchymal transition (EMT) was evaluated in cancer cells within this 3D culture context. Compared to conventional 2D monolayer cultures, this 3D scaffold-based culture revealed that solid tumor cells, specifically A549 cells, exhibited heightened resistance to anticancer drugs. Additionally, the 3D culture environment upregulated the expression of EMT markers namely vimentin, N-cadherin, and fibronectin, while NK and zEGFR-CAR-NK cells displayed anticancer effects. In the two-dimensional (2D) coculture, only zEGFR-CAR-NK cells exhibited such effects in the 3D coculture system, highlighting an intriguing inconsistency with the 2D culture model, further confirmed by in vivo experiments. This in vitro 3D cell culture model reliably predicts outcomes in NK immunotherapy experiments. Thus, it represents a valuable tool for investigating drug resistance mechanisms and assessing the efficacy of immune cell-based therapies. By bridging the gap between in vitro and in vivo investigations, this model effectively translates potential treatments into animal models and facilitates rigorous preclinical evaluations.

STARD7 could be an immunological and prognostic biomarker: from pan-cancer analysis to hepatocellular carcinoma validation

BackgroundAs the emergence of technologies such as sequencing and gene mapping, significant advancements have been made in understanding the landscape of tumors. However, the effective treatment of tumors continues to pose a tremendous challenge in clinical practice, which highlights the importance of predicting tumor markers and studying drug resistance mechanisms. The prognosis and differential expression of STARD7 in human pan-cancer were investigated by bioinformatic methods and experimental verification.MethodsThe expression, diagnostic, and prognostic significance of the STARD7 gene were comprehensive analyzed using bioinformatics techniques. Furthermore, we validated our projected outcomes in liver cancer through experimental methodologies, including the use of qRT-PCR, CCK8 and transwell assays.ResultsThe STARD7 gene exhibits differential expression in 25 tumors, with high expression observed in 22 tumors. These distinct expression patterns within different tumor types are closely associated with poor prognosis and diagnosis. Furthermore, the STARD7 gene plays a role in regulating the tumor immune microenvironment. Methylation levels of STARD7 vary among 20 types of tumors and are correlated with survival outcomes. Furthermore, the experiment results demonstrated that STARD7 is highly expressed in hepatocellular carcinoma cells. Suppression of STARD7 significantly impedes the proliferation, migration, and invasion of HepG-2 and SMMC-7721 cells.ConclusionsSTARD7 has the potential to function as a crucial prognostic biomarker and exhibit correlation with tumor immunity in various types of human cancers. The implications of our findings extend to informing cancer immune-therapy and promoting the advancement of precision immune-oncology.

7831 Unveiling Drug Resistance Mechanisms in Triple-Positive Breast Cancer: Insights from Long-Term Estrogen Deprivation Models and Innovative Mutation Detection Strategies

Abstract Disclosure: S. Bahnassy: None. H.S. Andrews: None. L. Jin: None. B.F. Kohrn: None. S. Tam: None. D. Mobin: None. Y.J. Dunn: None. M. Balachandran: None. M. Podar: None. W. He: None. M.D. McCoy: None. R.A. Beckman: Consulting Fee; Self; AstraZeneca, Boehringer Ingelheim. Other; Self; Chief Scientific Officer of OncoMind, LLC, which owns patents on dynamic precision medicine. R.B. Riggins: None. Compelling evidence from preclinical and clinical data suggests that triple-positive (TP; HER2+/HR+) breast cancer (BC) has lower response rates to HER2-targeted therapy and a higher risk of recurrence to endocrine therapy (ET) than HER2+/HR−. Molecular mechanisms underpinning drug resistance in TP-BC are poorly understood, thereby limiting our ability to improve patient outcomes and prevent metastatic progression. In our recent publication, we established and characterized long-term estrogen deprivation (LTED) ET-resistant (ETR) TP-BC models that mimic resistance to aromatase inhibitors without using genetic manipulation approaches. We reported intrinsic subtype shifts towards non-luminal phenotypes, metabolic reprogramming, and acquiring mutations in genes encoding for transcription factors and chromatin modifiers, as potential mechanisms of ETR in our LTED models. The emergence of drug-resistant mutator subclones under treatment-induced selective pressures, coupled with limitations in shallow-depth whole genome sequencing coverage, highlight an unmet need to develop a strategy for visually monitoring, capturing, and mapping resistant subclones through a mutational phenotypic screen, an approach offering valuable insights for optimizing treatment schedules. To address this, we developed and applied an innovative dual fluorescence mutation detection system to detect mutator cells expressing both mCherry and green fluorescence protein (GFP). First, we validated if our system is working properly. Compared to parental cells, transduced BT-474 and MDA-MB-361 LTEDs showed a drastic increase in GFP+ cells, suggesting the presence of resistant mutator cells. Consistent with the increase in GFP signal, TP-LTEDs showed increased mutation number and frequency in two Duplex Sequencing targeted capture panels (neutral loci and DNA polymerase-focused), used to perform ultra-deep, highly accurate sequencing. We then treated parental cells with single, dual, and triple combinations of anti-HER2, ET and CDK4/6 inhibitors to track the emergence of GFP+ mutator cells. Nine-day treatments with triple combinatorial therapies were best at inhibiting the growth of both BT-474 and MDA-MB-361 parental cell lines, compared to single- and double-agent targeted therapies. However, no GFP signal was detected within treated cells, suggesting that longer treatment durations are needed for drug-resistance mutator subclones to be discovered. Ongoing studies monitoring TP-drug resistance mutator subclones with long-term conventional targeted-therapies will improve our understanding of drug resistance mechanisms in this understudied subtype of BC. Importantly, these studies will enable dynamic precision medicine simulations to empower for a more tailored and effective therapeutic administration to prevent drug resistance and metastatic progression of TP-BC. Presentation: 6/3/2024

7831 Unveiling Drug Resistance Mechanisms In Triple-Positive Breast Cancer: Insights From Long-Term Estrogen Deprivation Models And Innovative Mutation Detection Strategies

Abstract Disclosure: S. Bahnassy: None. H.S. Andrews: None. L. Jin: None. B.F. Kohrn: None. S. Tam: None. D. Mobin: None. Y.J. Dunn: None. M. Balachandran: None. M. Podar: None. W. He: None. M.D. McCoy: None. R.A. Beckman: Consulting Fee; Self; AstraZeneca, Boehringer Ingelheim. Other; Self; Chief Scientific Officer of OncoMind, LLC, which owns patents on dynamic precision medicine. R.B. Riggins: None. Compelling evidence from preclinical and clinical data suggests that triple-positive (TP; HER2+/HR+) breast cancer (BC) has lower response rates to HER2-targeted therapy and a higher risk of recurrence to endocrine therapy (ET) than HER2+/HR−. Molecular mechanisms underpinning drug resistance in TP-BC are poorly understood, thereby limiting our ability to improve patient outcomes and prevent metastatic progression. In our recent publication, we established and characterized long-term estrogen deprivation (LTED) ET-resistant (ETR) TP-BC models that mimic resistance to aromatase inhibitors without using genetic manipulation approaches. We reported intrinsic subtype shifts towards non-luminal phenotypes, metabolic reprogramming, and acquiring mutations in genes encoding for transcription factors and chromatin modifiers, as potential mechanisms of ETR in our LTED models. The emergence of drug-resistant mutator subclones under treatment-induced selective pressures, coupled with limitations in shallow-depth whole genome sequencing coverage, highlight an unmet need to develop a strategy for visually monitoring, capturing, and mapping resistant subclones through a mutational phenotypic screen, an approach offering valuable insights for optimizing treatment schedules. To address this, we developed and applied an innovative dual fluorescence mutation detection system to detect mutator cells expressing both mCherry and green fluorescence protein (GFP). First, we validated if our system is working properly. Compared to parental cells, transduced BT-474 and MDA-MB-361 LTEDs showed a drastic increase in GFP+ cells, suggesting the presence of resistant mutator cells. Consistent with the increase in GFP signal, TP-LTEDs showed increased mutation number and frequency in two Duplex Sequencing targeted capture panels (neutral loci and DNA polymerase-focused), used to perform ultra-deep, highly accurate sequencing. We then treated parental cells with single, dual, and triple combinations of anti-HER2, ET and CDK4/6 inhibitors to track the emergence of GFP+ mutator cells. Nine-day treatments with triple combinatorial therapies were best at inhibiting the growth of both BT-474 and MDA-MB-361 parental cell lines, compared to single- and double-agent targeted therapies. However, no GFP signal was detected within treated cells, suggesting that longer treatment durations are needed for drug-resistance mutator subclones to be discovered. Ongoing studies monitoring TP-drug resistance mutator subclones with long-term conventional targeted-therapies will improve our understanding of drug resistance mechanisms in this understudied subtype of BC. Importantly, these studies will enable dynamic precision medicine simulations to empower for a more tailored and effective therapeutic administration to prevent drug resistance and metastatic progression of TP-BC. Presentation: 6/3/2024

Research Progress in Mechanisms of Drug-Resistance of Macrolide Antibiotics Resistance in Mycoplasma pneumoniae

Research Progress in Mechanisms of Drug-Resistance of Macrolide Antibiotics Resistance in Mycoplasma pneumoniae

Exploring the effects of pemetrexed on drug resistance mechanisms in human lung adenocarcinoma and its association with PGRMC1

According to the 2022 cancer statistics of the World Health Organization, lung cancer ranks among the top ten causes of death, with lung adenocarcinoma being the most prevalent type. Despite significant advancements in lung cancer therapeutics, many clinical limitations remain, primarily due to the development of drug resistance. The present study investigated the effects of pemetrexed on the drug resistance mechanisms in human lung adenocarcinoma and its association with progesterone receptor membrane component 1 (PGRMC1) expression. Given that KRAS-mutant lung adenocarcinoma cell lines (e.g., A549) exhibit a high folate synthesis activity, pemetrexed, which is structurally similar to folate, was selected as the therapeutic drug. The present study used a lung adenocarcinoma cell line (A549) and established a drug-resistant lung adenocarcinoma cell line (A549/PEM). The findings demonstrated that PGRMC1 expression was elevated in the A549/PEM cells. It has been hypothesized that PGRMC1 regulates iron absorption through heme binding, resulting in a preference for iron-related cell death pathways (ferroptosis). Our findings indicate that drug-resistant lung adenocarcinoma cells with high PGRMC1 levels exhibit elevated antioxidant activity on the cell membrane and increased reliance on iron-dependent cell death pathways. This suggests a correlation between PGRMC1 and pemetrexed-induced iron-dependent cell death. Our study contributes to the development of more effective therapeutic strategies to improve the prognosis of patients with lung adenocarcinoma, particularly those facing drug resistance challenges.

B-205 Performance of a Novel Fluorogenic Assay for Detection of Carbapenemase-producing Enterbacteriaceae

Abstract Background In recent years, under the selective challenge of antibiotics, the variety and number of drugresistant pathogenic microorganisms have increased significantly, which brings great challenges to clinical diagnosis and treatment, especially the infection caused by carbapenem resistant Enterobacteriaceae (CRE). Carbapenemases production is the main mechanism of drug resistance of Enterobacteriaceae to carbapenems. Drug resistance of Carbapenems can be caused by three mechanisms, resulting in the production of five major Carbapenemases. These are Klebsiella pneumoniae enzyme (KPC), New Delhi metal β-lactamase (NDM), carbapenem hydrolyzed oxalase (OXA-48 like), integrin-encoded metal β- lactamase (VIM) and IMP (Imipenemase). The real-time fluorescence quantitative PCR (qPCR) method based on molecular beacons was combined with the melting curve analysis to identify five drug resistance genes simultaneously by a single PCR reaction, with rapid detection, high sensitivity and strong specificity. Based on this principle, we developed the novel fluorogenic assay for rapid detection of Carbapenemases in multidrug-resistant Enterobacteriaceae (Dynamiker Biotechnology (Tianjin) Co., Ltd.). Methods We evaluated the performance of the novel fluorogenic assay for rapid detection of Carbapenemases in multidrug-resistant Enterobacteriaceae, including the limit of detection (LoD) and cross-reactivity, and compared it with the lateral flow immunochromatography assay (LFA). Results The LoD ranged from 75-450 CFU/mL for the five carbapenemase genes. The analytical specificity for target genes was 100%, as assessed with a panel of 15 pathogens, which indicated no cross-reactions. Comparison of qPCR and LFA results from twenty-three CRE clinical isolates with characterized carbapenemase content demonstrated a complete agreement (Table 1). Conclusions The novel fluorogenic assay for rapid detection of Carbapenemases in multidrug-resistant Enterobacteriaceae is an accurate and rapid method to identify KPC, NDM, VIM, IMP and OXA-48-like carbapenemases in the clinical microbiology laboratory, which can guide infection control programs to limit the spread of these organisms.

Structural and functional alterations in MRI-negative drug-resistant epilepsy and associated gene expression features

Neuroimaging techniques have been widely used in the study of epilepsy. However, structural and functional changes in the MRI-negative drug-resistant epilepsy (DRE) and the genetic mechanisms behind the structural alterations remain poorly understood. Using structural and functional MRI, we analyzed gray matter volume (GMV) and regional homogeneity (ReHo) in DRE, drug-sensitive epilepsy (DSE) and healthy controls. Gene expression data from Allen human brain atlas and GMV/ReHo were evaluated to obtain drug resistance-related and epilepsy-associated gene expression and compared with real transcriptional data in blood. We found structural and functional alterations in the cerebellum of DRE patients, which may be related to the mechanisms of drug resistance in DRE. Our study confirms that changes in brain morphology and regional activity in DRE patients may be associated with abnormal gene expression related to nervous system development. And SP1, as an important transcription factor, plays an important role in the mechanism of drug resistance.

Investigating Sortase A inhibitory potential of herbal compounds using integrated computational and biochemical approaches

Multi-drug resistance in bacteria is emerging as a major global health challenge, causing substantial harm in terms of mortality, morbidity, and financial strain on healthcare systems. These bacteria are constantly acquiring new virulence factors and drug-resistance mechanisms, which highlights the critical need for innovative antimicrobial medicines and identification of new therapeutic targets, such as Sortase A (EfSrtAΔN59). EfSrtAΔN59, a transpeptidase significant for the adhesion and virulence of Enterococcus faecalis (E. faecalis), presents an attractive target for disrupting biofilm formation—a key factor in persistent infections. This study investigates the inhibitory effects of two natural flavonoids- Rutin Trihydrate and Quercetin, on EfSrtAΔN59 and biofilm formation in E. faecalis. With in vitro enzymatic assays and biofilm quantification techniques, we demonstrate that both compounds significantly attenuate EfSrtAΔN59 activity, thereby hindering bacterial biofilm formation. Rutin Trihydrate and Quercetin exhibited strong binding affinities to the EfSrtAΔN59 enzyme, as confirmed by molecular docking and MD simulation studies. This was further substantiated by a notable reduction in biofilm biomass in bacterial cultures treated with these compounds. These findings highlight the potential of Rutin Trihydrate and Quercetin as promising candidates for the development of novel anti-virulence therapies aimed at mitigating E. faecalis infections, thereby offering a compelling alternative to traditional antibiotics.

The Metformin Immunoregulatory Actions in Tumor Suppression and Normal Tissues Protection.

The immune system is the key player in a wide range of responses in normal tissues and tumors to anticancer therapy. Inflammatory and fibrotic responses in normal tissues are the main limitations of chemotherapy, radiotherapy, and also some newer anticancer drugs such as immune checkpoint inhibitors (ICIs). Immune system responses within solid tumors including anti-tumor and tumor-promoting responses can suppress or help tumor growth. Thus, modulation of immune cells and their secretions such as cytokines, growth factors and epigenetic modulators, pro-apoptosis molecules, and some other molecules can be suggested to alleviate side effects in normal tissues and drug-resistance mechanisms in the tumor. Metformin as an anti-diabetes drug has shown intriguing properties such as anti-inflammation, anti-fibrosis, and anticancer effects. Some investigations have uncovered that metformin can ameliorate radiation/chemotherapy toxicity in normal cells and tissues through the modulation of several targets in cells and tissues. These effects of metformin may ameliorate severe inflammatory responses and fibrosis after exposure to ionizing radiation or following treatment with highly toxic chemotherapy drugs. Metformin can suppress the activity of immunosuppressive cells in the tumor through the phosphorylation of AMP-activated protein kinase (AMPK). In addition, metformin may stimulate antigen presentation and maturation of anticancer immune cells, which lead to the induction of anticancer immunity in the tumor. This review aims to explain the detailed mechanisms of normal tissue sparing and tumor suppression during cancer therapy using adjuvant metformin with an emphasis on immune system responses.

422 (PB410): Understanding Mechanisms of Cancer Drug Sensitivity and Resistance Using Functional Genomic Approaches

422 (PB410): Understanding Mechanisms of Cancer Drug Sensitivity and Resistance Using Functional Genomic Approaches