Molecular Mechanisms Of Resistance Research Articles

Abstract B083: Single-cell and spatial transcriptomic characterization of treatment resistance and immune dynamics in high-grade serous ovarian cancer

Abstract B083: Single-cell and spatial transcriptomic characterization of treatment resistance and immune dynamics in high-grade serous ovarian cancer

Abstract B075: Spatial genomics identifies cancer cell cytokines regulating ovarian cancer immunity

Abstract Ovarian cancer (OvCa) is among the most aggressive and lethal cancers with a poor response to immune checkpoint blockade (ICB) despite its modest tumor mutational burden and expression of known cancer antigens. Consequently, it is critical to understand the molecular mechanisms of tumor immune escape and resistance to immunotherapies. Intercellular signaling between cancer cells and the tumor microenvironment (TME) is a crucial determinant of tumor immunity and given the immunosuppressive nature of OvCa TME, it is of utmost importance to dissect how this immunosuppressed TME is established. To begin to determine which cancer-cell genes may function cell externally in controlling of OvCa immunity, we employed a first-of-its-kind spatial functional genomics approach we developed, called Perturb-map, which enables dozens of CRISPR gene knock-out (KO) cells to be resolved in a tissue/tumor by imaging, along with cells in the local TME. We used Perturb-map to determine how 35 different genes, identified through ligand-receptor analysis of ovarian tumors, influenced tumor response to anti-PD-1 treatment in an OvCa mouse model. Strikingly, Il4 KO tumors were unique amongst the 35 gene KOs making the tumors significantly more responsive to anti-PD-1 treatment despite not impacting tumor growth in the absence of immunotherapy. Further experiments with single CRISPR KO tumors validated the Perturb-map finding, where Il4 KO combined with anti-PD-1 treatment resulted in a major reduction in tumor growth and a significant increase in survival. Cyclic immunofluorescence (CyCIF) multiplex imaging revealed that loss of cancer cell-derived IL-4 led to a significant reduction in pro-tumor macrophages and an increase in dendritic cell (DC) subsets as well as both progenitor and terminally exhausted CD8 T cells. Upon anti-PD-1 treatment, Il4 KO tumors had significant enrichment for activated CD8 T cells and B cells. Importantly, spatial analysis of the tumor samples identified enrichment of T follicular helper cells, B cells, and DCs in tertiary lymphoid structures in tumors with combined IL-4 loss and PD-1 inhibition. Further, we analyzed a human OvCa single-cell transcriptomics dataset and demonstrated that an IL-4 response signature is expressed in tumor-associated macrophages, indicating active IL-4 signaling in human ovarian tumors. Importantly, we employed a CRISPR-knock-in expression reporter in mouse tumors as well as immunohistochemistry of both human and mouse tumor samples to confirm that IL-4 is expressed by cancer cells. Thus, we identified cancer cell-secreted IL-4 as a potent regulator of OvCa TME and response to ICB. Given that an anti-IL-4-receptor antibody is already in clinical use to treat immune diseases, our findings have the potential to be translated to the clinical management of this dreadful disease. Citation Format: Gurkan Mollaoglu, Alexander Tepper, Hunter Potak, Luisanna Pia, Angelo Amabile, Chiara Falcomata, Jaime Mateus-Tique, Noam Rabinovich, Rachel Brody, Lindsay Browning, Jia-Ren Lin, Peter Sorger, Sandro Santagata, Miriam Merad, Alessia Baccarini, Brian Brown. Spatial genomics identifies cancer cell cytokines regulating ovarian cancer immunity [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr B075.

Abstract P33: Leveraging probabilistic causal disease models to understand molecular pathways and target resistance mechanisms in Multiple Myeloma with the CREBBP and EP300 bromodomain inhibitor, pocenbrodib

Abstract To explore and devise innovative approaches for the treatment of Multiple Myeloma (MM) – a disease often deemed incurable due to the development of resistance mechanisms against available therapies – we adopted an integrative data approach, constructing causal AI models of MM that integrate co-expression relationships, DNA variation, longitudinal clinical data, and expansive knowledge graphs. Diverging from traditional methods, our approach centers on constructing probabilistic causal models to elucidate the regulatory mechanisms of disease and capture existing known causal relationships published in the scientific literature or curated in pathway databases. We employ generative AI and other advanced machine learning approaches to stratify patients into mechanistically-informed subtypes that we can directly associate with clinical outcomes. These models, and the ability to map driver mechanisms to outcomes, serve as a foundation for analyzing our real-world data, a dataset made up of more than 200,000 cancer patients with multimodal molecular data generated on tumor tissues and matched to longitudinal clinical data. Finally, we can validate and refine therapeutically relevant hypotheses using a scalable high-content organoid and cell line screening platform to characterize drug and/or targeted genetic perturbation signatures.We analyzed our models in MM to reveal sub-populations of relapsed refractory patients that could be susceptible to specific pathway inhibition. This analysis revealed a focused causal subnetwork that predicts poor overall survival in standard MM treatment protocols. We demonstrate that not only does this subnetwork show promise in predicting response to a novel CREBBP and EP300 bromodomain inhibitor, pocenbrodib, but it sheds light on the molecular underpinnings of MM, beyond the currently known IRF4, MYC, and immune cell regulation mechanisms that the inhibition of CREBBP/EP300 is known to target. Our network models reveal that this novel subnetwork is intricately linked to a range of driver mechanisms that strongly predict disease progression and are associated with known mechanisms of resistance. Notably, the signature persists across various MM stages, from initial diagnosis to relapsed/refractory states, and intensifies with each additional line of therapy. Further, signature scores are higher in patients with known high-risk cytogenetic abnormalitiesOur findings suggest that stratifying patients based on this gene signature could be instrumental in identifying individuals at high risk of MM progression. Such stratification could transform the selection process for pocenbrodib treatment. By leveraging an integrated, AI-driven approach, we advance the understanding of MM and pave the way for more targeted and effective therapeutic strategies. Citation Format: Allison E Roder, Alice M Walsh, Taylor K Krebs, Veronica Calvo, Bonnie V Dougherty, Preston Smith, Jens Renstrup, Eric E Schadt. Leveraging probabilistic causal disease models to understand molecular pathways and target resistance mechanisms in Multiple Myeloma with the CREBBP and EP300 bromodomain inhibitor, pocenbrodib [abstract]. In: Proceedings of the Blood Cancer Discovery Symposium; 2024 Mar 4-6; Boston, MA. Philadelphia (PA): AACR; Blood Cancer Discov 2024;5(2_Suppl):Abstract nr P33.

Heterogeneous ERBB gene pathways, their targeted treatment and possible molecular mechanisms of resistance in metastatic gallbladder cancer

BackgroundERBB amplifications and mutations are known in metastatic gallbladder cancer (GBC). We conducted a prospective study on targeted therapy based on comprehensive genomic profiling (CGP). We report molecular pathways of ERBB gene and outcomes and explored the molecular mechanism of resistance. MethodsCGP was done for all consecutive GBC patients aged >18 years. Foundation medicines CDx and TarGT Absolute were used for analysis. Patients were enrolled from Jan 2017 till Dec 2022. Patient recruitment was done after ethics committee approval. Trastuzumab and/ or lapatinib were used as targeted therapy. ResultsTwenty-six patients out of 60 had ERBB1-4 gene alteration (amplification and/or mutation) that resulted in activation of PI3K/AKT/MTOR and RAS/RAF/MEK pathways. ERBB amplification (16%) was the most common genetic aberration. Mutations in TP53, RB1, CDKs, and cyclins lead to dysregulation of cell cycle and evasion of apoptosis. A total of 50% of ERBB2-positive patients carry CDK12 amplifications. The intrinsic resistance to anti-ERBB2 therapy was primarily due to downstream activation in ERBB pathway (PIK3CA) and its crosstalk with cell cycle pathway (TP53 and CDK12), JAK/STAT, VEGF, CTNNB1, and ARID1A that are known to drive MAPK/ERK signaling. Mesenchymal epithelial transition amplification or activating mutations is mechanism of resistance to anti-ERBB2 therapy. Kinase/Juxta membrane domain mutations in ERBB family proteins are also one of the potential mechanisms of resistance. ConclusionGBC is enriched with ERBB gene aberrations. Targeted therapy of ERBB pathway has shown encouraging responses. CDK12 gene amplification is a possible mechanism of resistance identified.

Molecular epidemiology and mechanisms of carbapenem and colistin resistance in Klebsiella and other Enterobacterales from treated wastewater in Croatia

Among the most problematic bacteria with clinical relevance are the carbapenem-resistant Enterobacterales (CRE), as there are very limited options for their treatment. Treated wastewater can be a route for the release of these bacteria into the environment and the population. The aim of this study was to isolate CRE from treated wastewater from the Zagreb wastewater treatment plant and to determine their phenotypic and genomic characteristics. A total of 200 suspected CRE were isolated, 148 of which were confirmed as Enterobacterales by MALDI-TOF MS. The predominant species was Klebsiella spp. (n = 47), followed by Citrobacter spp. (n = 40) and Enterobacter cloacae complex (cplx.) (n = 35). All 148 isolates were carbapenemase producers with a multidrug-resistant phenotype. Using multi-locus sequence typing and whole-genome sequencing (WGS), 18 different sequence types were identified among these isolates, 14 of which were associated with human-associated clones. The virulence gene analysis of the sequenced Klebsiella isolates (n = 7) revealed their potential pathogenicity. PCR and WGS showed that the most frequent carbapenemase genes in K. pneumoniae were blaOXA-48 and blaNDM-1, which frequently occurred together, while blaKPC-2 together with blaNDM-1 was mainly detected in K. oxytoca, E. cloacae cplx. and Citrobacter spp. Colistin resistance was observed in 40% of Klebsiella and 57% of Enterobacter isolates. Underlying mechanisms identified by WGS include known and potentially novel intrinsic mechanisms (point mutations in the pmrA/B, phoP/Q, mgrB and crrB genes) and acquired mechanisms (mcr-4.3 gene). The mcr-4.3 gene was identified for the first time in K. pneumoniae and is probably located on the conjugative IncHI1B plasmid. In addition, WGS analysis of 13 isolates revealed various virulence genes and resistance genes to other clinically relevant antibiotics as well as different plasmids possibly associated with carbapenemase genes. Our study demonstrates the important role that treated municipal wastewater plays in harboring and spreading enterobacterial pathogens that are resistant to last-resort antibiotics.

Key Mutant Genes and Biological Pathways Involved in Aspirin Resistance in the Residents of the Chinese Plateau Area.

Aspirin is used to prevent and treat cardiovascular diseases; however, some patients develop aspirin resistance. We aimed to explore the potential molecular mechanisms underlying aspirin resistance in people living in the Chinese plateau area. In total, 91 participants receiving aspirin treatment from the Qinghai plateau area were divided into the aspirin resistance and aspirin sensitivity groups. Genotyping was performed using the Sequence MASSarray. Differentially mutated genes between the two groups were analyzed using MAfTools. The annotation of differentially mutated genes was conducted based on the Metascape database. In total, 48 differential SNP and 22 differential InDel mutant genes between the aspirin resistance and aspirin sensitivity groups were screened using Fisher's exact test (P < 0.05). After the χ2 test, a total of 21 SNP mutant genes, including ZFPL1 and TLR3, and 19 InDel mutant genes were found to be differentially expressed between the two groups (P < 0.05). Functional analysis revealed that these differential SNP mutations were mainly enriched in aspirin resistance pathways, such as the Wnt signaling pathway. Furthermore, these genes were related to many diseases, including various aspirin indications. This study identified several genes and pathways that could be involved in arachidonic acid metabolic processes and aspirin resistance progression, which will provide a theoretical understanding of the molecular mechanism of aspirin resistance.

ATPase Copper Transporting Beta (ATP7B) Is a Novel Target for Improving the Therapeutic Efficacy of Docetaxel by Disulfiram/Copper in Human Prostate Cancer.

Docetaxel has been the standard first-line chemotherapy for lethal metastatic prostate cancer (mPCa) since 2004, but resistance to docetaxel treatment is common. The molecular mechanisms of docetaxel resistance remain largely unknown and could be amenable to interventions that mitigate resistance. We have recently discovered that several docetaxel-resistant mPCa cell lines exhibit lower uptake of cellular copper and uniquely express higher levels of a copper exporter protein ATP7B. Knockdown of ATP7B by silencing RNAs (siRNA) sensitized docetaxel-resistant mPCa cells to the growth-inhibitory and apoptotic effects of docetaxel. Importantly, deletions of ATP7B in human mPCa tissues predict significantly better survival of patients after their first chemotherapy than those with wild-type ATP7B (P = 0.0006). In addition, disulfiram (DSF), an FDA-approved drug for the treatment of alcohol dependence, in combination with copper, significantly enhanced the in vivo antitumor effects of docetaxel in a docetaxel-resistant xenograft tumor model. Our analyses also revealed that DSF and copper engaged with ATP7B to decrease protein levels of COMM domain-containing protein 1 (COMMD1), S-phase kinase-associated protein 2 (Skp2), and clusterin and markedly increase protein expression of cyclin-dependent kinase inhibitor 1 (p21/WAF1). Taken together, our results indicate a copper-dependent nutrient vulnerability through ATP7B exporter in docetaxel-resistant prostate cancer for improving the therapeutic efficacy of docetaxel.

Unveiling molecular mechanisms of pepper resistance to Phytophthora capsici through grafting using iTRAQ-based proteomic analysis

Phytophthora blight severely threatens global pepper production. Grafting bolsters plant disease resistance, but the underlying molecular mechanisms remain unclear. In this study, we used P. capsici-resistant strain ‘ZCM334’ and susceptible strain ‘Early Calwonder’ for grafting. Compared to self-rooted ‘Early Calwonder’ plants, ‘ZCM334’ grafts exhibited delayed disease onset, elevated resistance, and reduced leaf cell damage, showcasing the potential of grafting in enhancing pepper resistance to P. capsici. Proteomic analysis via the iTRAQ technology unveiled 478 and 349 differentially expressed proteins (DEPs) in the leaves and roots, respectively, between the grafts and self-rooted plants. These DEPs were linked to metabolism and cellular processes, stimulus responses, and catalytic activity and were significantly enriched in the biosynthesis of secondary metabolites, carbon fixation in photosynthetic organizations, and pyruvate metabolism pathways. Twelve DEPs exhibiting consistent expression trends in both leaves and roots, including seven related to P. capsici resistance, were screened. qRT-PCR analysis confirmed a significant correlation between the protein and transcript levels of DEPs after P. capsici inoculation. This study highlights the molecular mechanisms whereby grafting enhances pepper resistance to Phytophthora blight. Identification of key genes provides a foundation for studying the regulatory network governing the resistance of pepper to P. capsici.

ESBL-Type and AmpC-Type Beta-Lactamases in Third Generation Cephalosporin-Resistant Enterobacterales Isolated from Animal Feces in Madagascar.

Third generation cephalosporin-resistant (3GCR) Enterobacterales are known to be prevalent in Madagascar, with high colonization or infection rates in particular in Madagascan patients. Extended spectrum beta-lactamases (ESBLs) have been reported to be the predominant underlying resistance mechanism in human isolates. So far, little is known on antimicrobial resistance and its molecular determinants in Enterobacterales and other bacteria causing enteric colonization of Madagascan wild animals. To address this topic, swabs from 49 animal stool droppings were collected in the Madagascan Tsimanapesotsa National Park and assessed by cultural growth of bacterial microorganisms on elective media. In addition to 7 Acinetobacter spp., a total of 31 Enterobacterales growing on elective agar for Enterobacterales could be isolated and subjected to whole genome sequencing. Enterobacter spp. was the most frequently isolated genus, and AmpC-type beta-lactamases were the quantitatively dominating molecular resistance mechanism. In contrast, the blaCTX-M-15 gene, which has repeatedly been associated with 3GC-resistance in Madagascan Enterobacterales from humans, was detected in a single Escherichia coli isolate only. The identification of the fosfomycin-resistance gene fosA in a high proportion of isolates is concerning, as fosfomycin is increasingly used to treat infections caused by multidrug-resistant bacteria. In conclusion, the proof-of-principle assessment indicated a high colonization rate of resistant bacteria in stool droppings of Madagascan wild animals with a particular focus on 3GCR Enterobacterales. Future studies should confirm these preliminary results in a more systematic way and assess the molecular relationship of animal and human isolates to identify potential routes of transmission.

KIT ATP-Binding Pocket/Activation Loop Mutations in GI Stromal Tumor: Emerging Mechanisms of Kinase Inhibitor Escape.

Imatinib resistance in GI stromal tumors (GISTs) is primarily caused by secondary KIT mutations, and clonal heterogeneity of these secondary mutations represents a major treatment obstacle. KIT inhibitors used after imatinib have clinical activity, albeit with limited benefit. Ripretinib is a potent inhibitor of secondary KIT mutations in the activation loop (AL). However, clinical benefit in fourth line remains limited and the molecular mechanisms of ripretinib resistance are largely unknown. Progressing lesions of 25 patients with GISTs refractory to ripretinib were sequenced for KIT resistance mutations. Resistant genotypes were validated and characterized using novel cell line models and in silico modeling. GISTs progressing on ripretinib were enriched for secondary mutations in the ATP-binding pocket (AP), which frequently occur in cis with preexisting AL mutations, resulting in highly resistant AP/AL genotypes. AP/AL mutations were rarely observed in a cohort of progressing GIST samples from the preripretinib era but represented 50% of secondary KIT mutations in patients with tumors resistant to ripretinib. In GIST cell lines harboring secondary KIT AL mutations, the sole genomic escape mechanisms during ripretinib drug selection were AP/AL mutations. Ripretinib and sunitinib synergize against mixed clones with secondary AP or AL mutants but do not suppress clones with AP/AL genotypes. Our findings underscore that KIT remains the central oncogenic driver even in late lines of GIST therapy. KIT-inhibitor combinations may suppress resistance because of secondary KIT mutations. However, the emergence of KIT AP/AL mutations after ripretinib treatment calls for new strategies in the development of next-generation KIT inhibitors.

Ace-1 Target Site Status and Metabolic Detoxification Associated with Bendiocarb Resistance in the Field Populations of Main Malaria Vector, Anopheles stephensi in Iran.

Anopheles stephensi is the main vector of malaria in Iran. This study aimed to determine the susceptibility of An. stephensi from the south of Iran to bendiocarb and to investigate biochemical and molecular resistance mechanisms in this species. Wild An. stephensi were collected from Hormozgan Province and reared to the adult stage. The susceptibility test was conducted according to the WHO protocols using bendiocarb impregnated papers supplied by WHO. Also, field An. Stephensi specimens were collected from south of Kerman and Sistan and Baluchistan Provinces. To determine the G119S mutation in the acetylcholinesterase (Ace1) gene, PCR-RFLP using AluI restriction enzyme and PCR direct-sequencing were performed for the three field populations and compared with the available GenBank data. Also, biochemical assays were performed to measure alpha and beta esterases, insensitive acetylcholinesterase, and oxidases in the strains. The bioassay tests showed that the An. stephensi field strain was resistant to bendiocarb (mortality rate 89%). Ace1 gene analysis revealed no G119S in the three field populations. Blast search of sequences revealed 98-99% identity with the Ace1 gene from Pakistan and India respectively. Also, the results of biochemical tests revealed the high activity of non-sensitive acetylcholinesterase, alpha and beta-esterase in the resistant strain compared to the susceptible strain. No G119S was detected in this study additionally the enhanced enzyme activity of esterases and acetylcholinesterase suggesting that resistance was metabolic. The use of alternative malaria control methods and the implementation of resistance management strategies are suggested in the study area.

Cellular and Molecular Mechanisms of Insulin Resistance

Abstract Purpose of Review Although the molecular mechanism of insulin resistance involves multiple factors and several intrinsic and extrinsic mechanisms have been identified, this comprehensive review provides key information on some of the core mechanisms and complex interactions of the molecules involved in the signaling pathways of insulin resistance. Recent Findings Diabetes Mellitus, the most common metabolic disorder, is one of the greatest global medical challenges at present. There has been a significant increase in complications associated with diabetes such as heart disorders, stroke, neuropathy, dyslipidemia, metabolic dysfunction-associated steatotic liver disease, and nephropathy. This calls for immediate strategic action to combat this complex metabolic disorder. Insulin resistance, a characteristic marker of type 2 diabetes is a condition in which the regulation of glucose metabolism in body tissues, such as the liver, adipose tissue, and skeletal muscle, becomes disrupted. It is generally associated with hyperglycemia, hyperinsulinemia, hyperlipidemia, and impaired glucose homeostasis. Summary Understanding the pathophysiological molecular mechanisms involved in insulin resistance is critical for developing new therapeutic strategies to treat this polygenic multifactorial condition. Impairment of insulin action is caused by several factors such as lipotoxicity, increased adiposity, enhanced inflammatory signaling, endoplasmic reticulum stress, adipokines, mitochondrial dysfunction, increased free fatty acids, and dysfunctional insulin signaling.

Resistance Mechanism of Plutella xylostella (L.) Associated with Amino Acid Substitutions in Acetylcholinesterase-1: Insights from Homology Modeling, Docking and Molecular Dynamic Simulation.

Plutella xylostella, a destructive crucifer pest, can rapidly develop resistance to most classes of pesticides. This study investigated the molecular resistance mechanisms to chlorpyrifos, an organophosphate pesticide. Two P. xylostella genes, ace1 and ace2, were described. The nucleotide sequence results revealed no variation in ace2, while the resistant strain (Kar-R) had four amino acid alterations in ace1, two of which (A298S and G324A) were previously shown to confer organophosphate resistance in P. xylostella. In the present study, the 3D model structures of both the wild-type (Gu-S) and mutant (Kar-R) of P. xylostella ace1 strains were studied through molecular dynamics (MDs) simulations and molecular docking. Molecular dynamics simulations of RMSD revealed less structural deviation in the ace1 mutant than in its wild-type counterpart. Higher flexibility in the 425-440 amino acid region in the mutant active site (Glu422 and Acyl pocket) increased the active site's entropy, reducing the enzyme's affinity for the inhibitors. Gene expression analysis revealed that the relative transcription levels of ace1 were significantly different in the Kar-R strain compared with the Gu-S strain. This study enhances the understanding of the mechanisms governing ace1's resistance to insecticide and provides essential insights for new insecticides as well as valuable insights into environmentally conscious pest management techniques.

Molecular mechanism of drought resistance in soybean roots revealed using physiological and multi-omics analyses

Soybeans are one of the most cultivated crops worldwide and drought can seriously affect their growth and development. Many studies have elucidated the mechanisms through which soybean leaves respond to drought; however, little is known about these mechanisms in roots. We used two soybean varieties with different drought tolerances to study the morphological, physiological, and molecular response mechanisms of the root system to drought stress in seedlings. We found that drought stress led to a significant decrease in the root traits and an increase in antioxidant enzyme activity in the two varieties. Drought-resistant varieties accumulate large amounts of flavonoids and phenolic acids at the metabolic level, which causes variations in drought resistance. Additionally, differences in gene expression and drought-resistance pathways between the two varieties were clarified using transcriptome analysis. Through a multi-omics joint analysis, phenylpropanoid and isoflavonoid biosynthesis were identified as the core drought resistance pathways in soybean roots. Candidate genes and marker metabolites affecting drought resistance were identified. The phenylpropanoid pathway confers drought tolerance to roots by maintaining a high level of POD activity and mediates the biosynthesis of various secondary drought-resistant metabolites to resist drought stress. This study provides useful data for investigating plant root drought responses and offers theoretical support for plant breeding for drought resistance.

Differences of Pine Wood Nematode (Bursaphelenchus xylophilus) Developmental Stages under High-Osmotic-Pressure Stress.

Under ion imbalance, water deficiency, and salt stress, the osmotic pressure of the tree sap increases, and pine wood nematodes (Bursaphelenchus xylophilus, PWN) parasitizing in the trees may be subjected to high-osmotic-pressure stress. KCl, L-malic acid, sucrose, and glycerol solutions were used as osmolytes to explore the highest osmotic concentration that PWN can tolerate. Survival analysis showed that when the treatment concentration exceeded 90%, only a few nematodes in the glycerol group survived under 6 h treatment, and most of the survivors were third-stage dispersal juveniles (DJ3). Further examination revealed that under different concentrations of glycerol-induced high osmotic pressure, the survival rate and body length change rate were the highest in the DJ3 and the lowest in the second-stage propagative juveniles. In order to explore the molecular mechanism of resistance of DJ3 to high osmotic stress, transcriptome sequencing was performed at each developmental stage of PWN and differentially expressed genes that were up-regulated or down-regulated only in DJ3 were screened. The expression of genes related to CoA in DJ3, a key enzyme in metabolism, was significantly higher than the other developmental stages. In addition, the expression of the anti-reversal signal pathway-related gene AKT-1 in DJ3 was significantly lower than in the other development stages. Therefore, the specific expression of genes in DJ3 under high osmotic pressure may help them rapidly produce and accumulate energy-related compounds and activate the adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) pathway to respond to damage caused by high-osmotic-pressure stress in time, thus promoting survival.

Insights into molecular mechanisms of chemotherapy resistance in cancer

Cancer heterogeneity poses a significant hurdle to the successful treatment of the disease, and is being influenced by genetic inheritance, cellular and tissue biology, disease development, and response to therapy. While chemotherapeutic drugs have demonstrated effectiveness, their efficacy is impeded by challenges such as presence of resilient cancer stem cells, absence of specific biomarkers, and development of drug resistance. Often chemotherapy leads to a myriad of epigenetic, transcriptional and post-transcriptional alterations in gene expression as well as changes in protein expression, thereby leading to massive metabolic reprogramming. This review seeks to provide a detailed account of various transcriptional regulations, proteomic changes, and metabolic reprogramming in various cancer models in response to three primary chemotherapeutic interventions, docetaxel, carboplatin, and doxorubicin. Discussing the molecular targets of some of these regulatory events and highlighting their contribution in sensitivity to chemotherapy will provide insights into drug resistance mechanisms and uncover novel perspectives in cancer treatment.

Molecular mechanisms of quinolone resistance in non-typhoidal Salmonella

By conducting retrospective analysis, this study aim to investigate the resistance mechanism of quinolones in non-typhoidal Salmonella (NTS). A total of 105 strains of NTS isolated from clinical specimens from the Fifth Affiliated Hospital of Southern Medical University from May 2020 to February 2021 were used as research objects. VITEK2 Compact automatic identification drug sensitivity analysis system and serological test were used to identify the strains. The sensitivity of the strains to ciprofloxacin, levofloxacin and nalidixic acid was detected by AGAR dilution method. The whole genome of 105 strains of NTS was sequenced. Abricate and other softwares were used to analyze drug-resistant genes, including plasmid-mediated quinolone resistance gene (PMQR) and Quinolone resistance determination region (QRDR). Serotypes and ST types were analyzed using SISTR and MLST, and phylogenetic trees were constructed. The results showed that the NTS isolated in this region were mainly ST34 Salmonella typhimurium (53.3%). The drug sensitivity results showed that the drug resistance rates of NTS to ciprofloxacin, levofloxacin and nalidixic acid were 30.4%, 1.9% and 22.0%, respectively, and the intermediate rates of ciprofloxacin and levofloxacin were 27.6% and 54.2%.A total of 46 (74.2%) of the 62 quinolone non-susceptible strains carried the PMQR gene, mainly qnrS1 (80.4%), followed by aac(6')-Ib-cr(15.2%); there were 14 NTS and 8 NTS had gyrA and parC gene mutations, respectively. The gyrA was mutations at the amino acid position 87, Asp87Tyr, Asp87Asn, Asp87Gly, and Thr57Ser mutations were detected in parC. In conclusion, this study found that NTS had relatively high resistance to quinolones, carrying qnrS1 gene mainly resulted in decreased sensitivity of NTS to ciprofloxacin and levofloxacin, and gyrA:87 mutation mainly resulted in NTS resistance to Nalidixic acid; Salmonella typhimurium in clinical isolates showed clonal transmission and required further epidemiological surveillance.

Molecular monitoring of insecticide resistance in major disease vectors in Armenia

BackgroundArmenia is considered particularly vulnerable to life-threatening vector-borne diseases (VBDs) including malaria, West Nile virus disease and leishmaniasis. However, information relevant for the control of the vectors of these diseases, such as their insecticide resistance profile, is scarce. The present study was conducted to provide the first evidence on insecticide resistance mechanisms circulating in major mosquito and sand fly populations in Armenia.MethodsSampling sites were targeted based mainly on previous historical records of VBD occurrences in humans and vertebrate hosts. Initially, molecular species identification on the collected vector samples was performed. Subsequently, molecular diagnostic assays [polymerase chain reaction (PCR), Sanger sequencing, PCR-restriction fragment length polymorphism (RFLP), quantitative PCR (qPCR)] were performed to profile for major insecticide resistance mechanisms, i.e. target site insensitivity in voltage-gated sodium channel (vgsc) associated with pyrethroid resistance, acetylcholinesterase (ace-1) target site mutations linked to organophosphate (OP) and carbamate (CRB) resistance, chitin synthase (chs-1) target site mutations associated with diflubenzuron (DFB) resistance and gene amplification of carboxylesterases (CCEs) associated with resistance to the OP temephos.ResultsAnopheles mosquitoes were principally represented by Anopheles sacharovi, a well-known malaria vector in Armenia, which showed no signs of resistance mechanisms. Contrarily, the knockdown resistance (kdr) mutations V1016G and L1014F/C in the vgsc gene were detected in the arboviral mosquito vectors Aedes albopictus and Culex pipiens, respectively. The kdr mutation L1014S was also detected in the sand fly, vectors of leishmaniasis, Phlebotomus papatasi and P. tobbi, whereas no mutations were found in the remaining collected sand fly species, P. sergenti, P. perfiliewi and P. caucasicus.ConclusionsThis is the first study to report on molecular mechanisms of insecticide resistance circulating in major mosquito and sand fly disease vectors in Armenia and highlights the need for the establishment of systematic resistance monitoring practices for the implementation of evidence-based control applications.Graphical

Recent Advances in Understanding the Molecular Mechanisms of Multidrug Resistance and Novel Approaches of CRISPR/Cas9-Based Genome-Editing to Combat This Health Emergency.

The rapid spread of multidrug resistance (MDR), due to abusive use of antibiotics has led to global health emergency, causing substantial morbidity and mortality. Bacteria attain MDR by different means such as antibiotic modification/degradation, target protection/modification/bypass, and enhanced efflux mechanisms. The classical approaches of counteracting MDR bacteria are expensive and time-consuming, thus, it is highly significant to understand the molecular mechanisms of this resistance to curb the problem from core level. The revolutionary approach of clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated sequence 9 (CRISPR/Cas9), considered as a next-generation genome-editing tool presents an innovative opportunity to precisely target and edit bacterial genome to alter their MDR strategy. Different bacteria possessing antibiotic resistance genes such as mecA, ermB, ramR, tetA, mqrB and blaKPC that have been targeted by CRISPR/Cas9 to re-sensitize these pathogens against antibiotics, such as methicillin, erythromycin, tigecycline, colistin and carbapenem, respectively. The CRISPR/Cas9 from S. pyogenes is the most widely studied genome-editing tool, consisting of a Cas9 DNA endonuclease associated with tracrRNA and crRNA, which can be systematically coupled as sgRNA. The targeting strategies of CRISPR/Cas9 to bacterial cells is mediated through phage, plasmids, vesicles and nanoparticles. However, the targeting approaches of this genome-editing tool to specific bacteria is a challenging task and still remains at a very preliminary stage due to numerous obstacles awaiting to besolved. This review elaborates some recent updates about the molecular mechanisms of antibiotic resistance and the innovative role of CRISPR/Cas9 system in modulating these resistance mechanisms. Furthermore, the delivery approaches of this genome-editing system in bacterial cells are discussed. In addition, some challenges and future prospects are also described.

ENO2 promotes anoikis resistance in anaplastic thyroid cancer by maintaining redox homeostasis.

Anoikis presents a significant barrier in the metastasis of cancer. As the most aggressive type of thyroid cancer, anaplastic thyroid cancer (ATC) exhibits a high risk of metastasis and is characterized by high mortality. Therefore, investigating the molecular mechanisms of anoikis resistance in ATC is important for devising therapeutic targets in clinical research. Differentially Expressed Genes were screened in ATC cells under attached and detached culture conditions with RNA-seq. Investigate the impact of enolase 2 (ENO2) on apoptosis and spheroid formation by gain and loss of function. Changes of reactive oxygen species (ROS), glutathione (GSH) and nicotinamide adenine dinucleotide phosphate (NADPH) were detected to assess redox balance. The transcriptional regulatory role of signal transducer and activator of transcription 1 (STAT1) on ENO2 was validated through Dual-Luciferase Reporter Gene Assay. Explore the impact of ENO2 expression on the formation of lung metastases in nude mice. We found that the glycolysis process was activated in detached ATC cells. Several genes in the glycolysis process, particularly ENO2, a member of the enolase superfamily was upregulated in ATC cells cultured in suspension. The upregulation of ENO2 enabled the maintenance of redox balance by supplying GSH and NADPH, thereby preventing cells from undergoing anoikis. In terms of mechanism, the expression of STAT1 was enhanced in anoikis resistance cells, which in turn positively regulated the expression of ENO2. In vivo, ENO2-suppressed ATC cells resulted in a significantly lower rate of lung colonization compared to control ATC cells. Stable expression of ENO2 and the maintenance of redox balance played a pivotal role in facilitating anoikis resistance of ATC.