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Sarkar, M.

Publications and source records attributed to Sarkar, M..

At least 19 recordsLinked to original sources

Dynamin-2 is a fission factor for SNX1-coated endosomal tubules

Sorting nexins of the SNX-BAR family shape endosomal membranes into tubular carriers that route cargo away from the degradative pathway, but we poorly understand the machinery that cuts these tubules to release transport carriers. Here we show that Dynamin-2 (Dyn2) is a fission factor for SNX1-coated tubules. In HeLa cells, Dyn2 localises to SNX1 tubules, and its knockout lengthens them and produces interconnected networks. Dyn2 binds SNX1 directly, and this interaction requires both the proline-rich domain of Dyn2 and the N-terminus of SNX1. On supported lipid bilayers, SNX1 alone tubulates membranes, and adding Dyn2 and GTP converts the emergent tubules into vesicles, indicating that no additional factors are needed for this activity. In cells, loss of Dyn2 redirects the retromer cargo GLUT1 to a LAMP1-positive compartment and reduces glucose uptake. These findings identify Dyn2 as the enzyme that releases SNX1 carriers and link this scission step to cargo recycling.

cell biology↗

Gut bacterium of Leishmania donovani-non-transmitting sand fly induces IL-23~Th17 axis to protect hosts from drug-resistant visceral leishmaniasis

Background: Visceral leishmaniasis (VL) is caused by Leishmania donovani and differentiates under the influence of biotope-specific gut bacteria in the Leishmania donovani-transmitting sand fly vector, Phlebotomus argentipes, which coexists with the Leishmania donovani-non-transmitting Sergentomyia species in the Indian subcontinent. Hypothesis: Sergentomyia are primarily herpetophilic. Interestingly, we identified a specific population of anthropophilic Sergentomyia babu babu, a proven naturally non-competent vector for transmitting Leishmania donovani, with high abundance and human-bite incidences in VL-non-endemic regions, compared with VL-endemic regions of India. Thus, the possibility of egesting gut bacteria to humans from VL-non-transmitting Sergentomyia and inducing downstream immune cascades remains undeniable. Innovation: We characterized gut bacteria from anthropophilic Sergentomyia babu babu in both VL-endemic and VL-non-endemic regions of India and found that a heat-inactivated formulation of Heyndrickxia sporothermodurans [NCBI Sequence Read Archive (SRA): PRJNA1403236], isolated from anthropophilic Sergentomyia babu babu from a VL-non-endemic region, prevented and cured L. donovani infection by inducing IL-23~Th17. More importantly, it also prevented the initial parasite establishment by inducing phagocytosis, ROS, and TNF- in circulatory Ly6G-CD11b+Ly6Chi monocytes. To the best of our knowledge, this is the first report confirming that the gut bacteria of VL-non-transmitting sand flies are critical and need to be investigated in depth for developing therapeutics and/or prophylactics against visceral leishmaniasis (VL), and suggests that possible bite-transfer of gut bacteria from disease-non-transmitting vectors to hosts may restrict disease pathogenicity. Further clinical trials are needed to warrant (Indian patent: 202511041013, April 28, 2025).

immunology↗

A stromal metabolic program suppresses NK-cell immunity to drive tumor progression in HER2-low breast cancer

Cancer-associated fibroblasts (CAFs) are major regulators of the tumor microenvironment, yet how distinct CAF states suppress innate immunity in HER2-low breast cancer remains poorly understood. Here, we identify an S100A4-enriched CAF population that expands during HER2-low breast tumor progression and establishes a metabolically immunosuppressive niche. Spatial transcriptomics and multiplex imaging of human HER2-low tumors reveal progressive CAF accumulation and an inverse spatial association between S100A4-enriched CAFs and immune infiltration, including natural killer (NK) cells. Using an immunocompetent HER2-low mammary tumor model, we show that S100A4-enriched CAFs promote tumor initiation and progression while suppressing NK-cell cytotoxicity, IFN-{gamma} production, perforin, and granzyme B. Fractionation of CAF-conditioned media and metabolic profiling identify a low-molecular-weight immunosuppressive program characterized by enhanced branched-chain amino acid catabolism and accumulation of branched-chain -keto acids (BCKAs). Mechanistically, BCKAs directly suppress NK-cell IFN-{gamma} production, whereas inhibition of the branched-chain aminotransferase BCAT1 reduces CAF-mediated NK-cell suppression and restores antitumor cytotoxicity. BCAT1 inhibition also suppresses HER2-low tumor growth in vivo, an effect attenuated by NK-cell depletion, establishing NK-cell restoration as a functional component of its antitumor activity. Together, these findings uncover a CAF-driven metabolic immune checkpoint in which S100A4-enriched CAFs exploit BCAT1-dependent BCKA production to suppress NK-cell surveillance and promote HER2-low breast tumor progression. Targeting stromal BCAT1 therefore represents a potential strategy to dismantle CAF-mediated immune suppression and restore innate antitumor immunity.

cancer biology↗

Phosphoinositides protonation states dictate AKT1 binding with membrane

Phosphoinositides are key regulators of membrane-associated signaling, yet their electrostatic properties are commonly represented by a single nominal charge in molecular simulations and structural models. Using the essential protein kinase AKT1 as a model system, we show that phosphoinositide protonation microstates, both the degree and positional placement of protons, govern peripheral membrane-protein recognition. By integrating quantum-mechanics-derived headgroup parameters, microsecond-scale all-atom molecular dynamics, and umbrella-sampling free-energy calculations with the available solid-state NMR-derived lipid populations via Bayesian/Maximum Entropy reweighting, we account explicitly for the thermodynamic ensemble of phosphoinositide proto-nation states. This population-weighted free-energy framework provides a quantitative mechanistic rationale for the strict specificity of wild-type AKT1 toward PI(3, 4, 5)P3 and elucidates how the oncogenic sentry mutation (E17K) alters this specificity to enable high-affinity PIP2 binding. Furthermore, Proximity-based Labeling of Membrane Associated Proteins (PLiMAP) assays experimentally confirm that AKT1 pleckstrin homology domain binding to distinct phosphoinositide species is differentially sensitive to pH. Together, our findings establish a direct connection between phosphoinositide protonation equilibria, binding energetics, and AKT1 lipid specificity. Beyond AKT1, these results demonstrate that the dynamic protonation microstates of anionic phospholipids act as a functional regulatory layer governing peripheral membrane-protein recruitment across diverse cellular microenvironments.

biophysics↗

qPCR Guru, a free browser-based platform, strengthens microRNA analyses using full-curve Cq estimation

Quantitative PCR (qPCR) depends on reliable quantification cycle (Cq) estimation from amplification curves, which are not always well-behaved. We developed qPCR Guru to provide a complete analysis pipeline including data quality assessment, relative quantification, standard-curve diagnostics, and dual-method Cq evaluation. The latter compares the conventional instrument-derived threshold ("Reported") Cq versus the full-curve five-parameter logistic (5PL) second-derivative-maximum ("Fit") Cq and automatically flags curve-shape abnormalities and disagreement between the two estimates. On high-expressing targets (mRNA and microRNA), the two methods showed strong convergence, confirming general-purpose performance. On low-expressing targets, such as serum microRNA, baseline artifacts and biphasic amplification result in threshold miscalls that standard instrument analysis does not flag. Fit Cq restored replicate-concordant values where Reported Cq split the technical replicates by 17-20 cycles, recovered MIQE-compliant amplification efficiencies lost to biphasic miscalls (from 74% to 102% and 387% to 98%), and lowered within-group variability by 48% and 68% in feline and bovine samples, respectively. Together, these results demonstrate that full-curve estimation, with integrated curve-level diagnostics, strengthens qPCR analyses against threshold miscalls. ARTICLE HIGHLIGHTSO_LIqPCR Guru is a free, browser-based platform that provides a complete analysis pipeline and facilitates side-by-side comparisons of an instruments threshold (Reported) Cq and a full-curve (Fit) Cq, from the five-parameter logistic fitting with second-derivative-maximum (SDM/cpD2). C_LIO_LIFor every well the application automatically flags curve-shape abnormalities and disagreement between the two Cq estimates. C_LIO_LIOn clean, high-expressing mRNA and microRNA targets, the two estimators (Reported Cq and Fit Cq) were strongly concordant and produced equivalent relative quantification with comparable precision. C_LIO_LIIn low-expressing serum microRNA, baseline artifacts and biphasic amplification produced threshold Cq miscalls of up to [~]20 cycles and were detected by curve-shape flags and/or method disagreement. C_LIO_LIThe full-curve Cq estimate recovered replicate-concordant values, restored MIQE-compliant amplification efficiencies, and reduced within-group variability in serum microRNA. C_LI

Molecular Biology↗

Myeloid Gi signaling acts as a weight-independent immunometabolic switch controlling systemic insulin sensitivity

Metabolic dysfunction does not necessarily correlate with adiposity. Metabolically healthy obese individuals and insulin-resistant lean individuals represent a fundamental paradox that implicates immune cell intrinsic mechanisms in the pathogenesis of type 2 diabetes. Here, we identify myeloid Gi signaling as a previously unrecognized determinant of whole-body glucose homeostasis. Single-cell transcriptomic analysis of adipose tissue macrophages from obese mice and humans reveals marked alteration in Gnai isoform, suggesting that myeloid Gi signaling is functionally engaged during metabolic disease. Using complementary myeloid-specific rodent models of Gi inhibition (pertussis toxin) and chemogenetic Gi activation (DREADD), we demonstrate that inhibition of Gi signaling improves glucose tolerance and enhances insulin sensitivity under both regular chow and high-fat diet conditions, independent of body weight and energy expenditure. Whereas acute Gi activation in lean mice modestly enhances glucose disposal, the same intervention during diet-induced obesity markedly impairs systemic glucose homeostasis, revealing context-dependent pathway function. Mechanistically, Gi inhibition amplifies macrophage cAMP-CREB signaling to drive IL-6 production, engaging STAT3- and AMPK-dependent pathways in adipose tissue and skeletal muscle to support insulin action. Conversely, Gi activation engages a previously uncharacterized G{beta}{gamma}-mTOR/AKT-JNK cascade, driving IL-1{beta} secretion that directly impairs insulin signaling in adipocytes and myotubes. Pharmacological IL-6 receptor blockade abolishes the metabolic benefits of Gi inhibition, whereas IL-1 receptor antagonism fully rescues Gi activation-induced metabolic dysfunction, establishing these cytokines as obligate downstream effectors. This signaling architecture is conserved in human macrophages, and ATAC-seq profiling reveals chromatin remodeling at cAMP-CREB and IL-6 regulatory pathway loci, consistent with the observed transcriptional reprogramming. Together, these findings establish myeloid Gi signaling as a weight-independent immunometabolic switch that couples opposing cytokine programs to systemic insulin sensitivity and identify this pathway as a therapeutic target in obesity-associated metabolic disease. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/713834v1_ufig1.gif" ALT="Figure 1"> View larger version (56K): org.highwire.dtl.DTLVardef@15e4576org.highwire.dtl.DTLVardef@224cd5org.highwire.dtl.DTLVardef@1e24888org.highwire.dtl.DTLVardef@1080bf3_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG

physiology↗

Paclitaxel sensitizes TRAIL (tumor necrosis factor-related apoptosis-inducing ligand)-resistant breast cancer cells towards TRAIL-mediated apoptosis

BackgroundThe ability of TRAIL to specifically induce apoptosis in cancer cells makes it a promising candidate to be an effective chemotherapeutic drug. But resistance to TRAIL treatment is a major obstacle. Finding combinatorial therapies that make resistant tumors more susceptible to TRAIL is an effective preclinical approach. In this work, we investigated the possibility that pre-treatment of paclitaxel may promote apoptosis in TRAIL-resistant breast cancer cells. MethodsIn silico analysis was done to investigate the binding affinity between TRAIL receptors (DR5 and DCR2) and paclitaxel via docking and MD simulation. To check whether any non-lethal dose of paclitaxel can modulate the expression of TRAIL receptors, qPCR was done in paclitaxel treated breast cancer cells. Next, paclitaxel was pre-administered to TRAIL-resistant MCF7 and MDA-MB-453 human breast cancer cells followed by rhTRAIL treatment. Cell viability and survival was evaluated using the MTT assay and colony formation assay, respectively. Immunoblot for caspase-3 was performed to study apoptosis. The expression level changes of DR5 and DCR2 were analyzed post-treatment using qPCR and immunoblot assay. ResultsIn silico analysis showed that paclitaxel can bind with higher stability to DCR2 in comparison to DR5 thereby changing the preference of TRAIL molecules towards DR5. Next, in cell line experiments we observed that administering a non-lethal dose of paclitaxel to MDA-MB-231 and MCF7 breast cancer cells resulted in no significant cell death but led to an increase in DR5 and a decrease in DCR2 expression at both the transcript and protein levels. Furthermore, in TRAIL-resistant MCF7 and MDA-MB-453 cells, pre-treatment with paclitaxel followed by rhTRAIL administration induced significant cell death due to paclitaxel induced increase in DR5 as well as decrease in DCR2 expression at both the transcript and protein levels. Moreover, long term survival of MDA-MB-453 cells was significantly lower when pretreated with paclitaxel and exposed to rhTRAIL compared to control, paclitaxel alone or rhTRAIL alone group. ConclusionThus, our study uncovers a novel therapeutic strategy to overcome TRAIL resistance underscoring the clinical potential of using a non-lethal dose of paclitaxel to modulate TRAIL receptor dynamics. Future research should be aimed at exploring the potentiality of using paclitaxel-based combinatorial approaches in crafting effective TRAIL therapies.

cancer biology↗

Division-arrest induced filamentation protects uropathogenic Escherichia coli from killing by the cathelicidin antimicrobial peptide LL-37

Antimicrobial peptides are a key component of the innate immune system, serving both as signaling and immunomodulatory molecules and also as direct antimicrobials toward numerous bacterial species. One of the key antimicrobial peptides in humans is LL-37 but the mechanism of bacterial killing remains poorly characterized. Using live-cell imaging, we observe that LL-37 preferentially targets actively dividing E. coli cells. Permeabilization occurs during late-stage division at the bacterial septum with both of the newly dividing cells being killed at the same time. Death occurs downstream of the recruitment and dissembly of FtsZ and FtsN and concomitantly with AmiB association at the divisome, consistent with killing occurring during late division. Model membrane tubes that topologically mimic the late-stage cytoplasmic membrane intermediates during division also undergo rapid size- and lipid composition-dependent fission, which likely reflect the ability of LL-37 to disrupt membranes. Intriguingly, we show that inducing bacterial filamentation results in resistance to LL-37 mediated killing. Resistance to LL-37 appears to be a general feature of bacterial filamentation as overexpression of queE, sulA or damX all resulted in reduced killing by LL-37. As filamentation is often observed during UPEC infection, we hypothesize that filamentation associated resistance to host innate immunity may be a key feature of UPEC pathogenesis that protects bacteria during extrusion from infection bladder epithelial cells, when exposure to soluble and cellular host defences is likely highest. This observation may provide an important avenue for therapeutic intervention. SignificanceAntimicrobial peptides are a key component of innate immunity. The human cathelicidin peptide, LL-37, is membrane active but the mechanism of sensitization in living systems is poorly understood. We show that dividing E. coli cells are highly susceptible to LL-37 mediated disruption. Killing occurs downstream of the assembly and activation of functional divisomes. In vitro membrane nanotubes also demonstrate sensitivity to LL-37 in a lipid composition and diameter-dependent manner. Cells with stalled division are protected from LL-37. Urinary tract infections caused by uropathogenic E. coli (UPEC) are a major cause of morbidity globally. UPEC form filamentous bacteria late in the human infection cycle. UPEC filaments are protected from LL-37 killing and suggest that interfering with bacterial filamentation might potentiate innate immune control of UTIs.

microbiology↗

Keratinocyte VISTA attenuates UV light-induced skin injury by suppressing cutaneous type I interferon (IFN-I) response

Persistent production of type I interferons (IFN-Is) is a hallmark of cutaneous lupus erythematosus (CLE). Ultraviolet (UV) light stimulates IFN-I response in the skin and exacerbates CLE. Here, we identify V-type immunoglobulin domain-containing suppressor of T cell activation (VISTA) as a negative regulator of both basal and UV-induced IFN-I responses in the skin and show that VISTA limits skin photosensitivity in an IFN-I- dependent manner, in part through Stimulator of Interferon Genes (STING). Furthermore, we demonstrate a novel role for VISTA in keratinocytes both at steady state and in response to UV light. Conditional deletion of VISTA in epidermal keratinocytes results in >10-fold increase in the basal skin IFN-I score and a heightened UV-induced skin injury score, which is dependent on IFN-I signaling. VISTA-targeting monoclonal antibodies suppress UV-induced IFN-I response in human keratinocytes and in mice expressing human VISTA in vivo, which also reduces UV-induced skin injury score. Our findings highlight VISTA as a potential therapeutic target for suppressing IFN-I responses in cutaneous lupus patients who suffer from UV-induced skin inflammation.

immunology↗

Acute activation of Gq-signaling in islet macrophages inhibits β-cell insulin secretion through AMPK-sphingolipid axis

Obesity-associated inflammation disrupts pancreatic {beta}-cell function, but the immune-derived signals that directly regulate insulin secretion remain incompletely defined. Here, we identify myeloid Gq signaling as a critical immunometabolic node that links macrophage activation to {beta}-cell dysfunction. For the first time, we employed a chemogenetic approach (DREADDs) to selectively and temporally activate Gq-coupled GPCR signaling in myeloid cells to examine its effect on islet function. Our findings reveal that acute Gq activation in islet-resident macrophages impaired glucose-stimulated insulin secretion, uncovering a previously unrecognized immune-endocrine axis. Conversely, myeloid-specific Gq deletion improves systemic glucose homeostasis, underscoring the physiological relevance of this pathway. Mechanistic analysis revealed that Gq activation in macrophages stimulates AMPK signaling and drives the secretion of sphingolipids. These lipids suppress insulin secretion and introduce a new mechanism for immune-islet communication, extending beyond traditional cytokine-based models. We further identify the lipid-sensing receptor GPR18 as an upstream activator of the Gq-AMPK pathway in macrophages. GPR18 stimulation recapitulated the Gq-dependent sphingolipid secretion and {beta}-cell inhibitory phenotype, which was abolished in myeloid Gq-deficient mice. Collectively, these findings establish a mechanistic framework whereby macrophage Gq signaling integrates lipid sensing and metabolic stress to modulate {beta}-cell function. This work reveals a previously unrecognized macrophage-{beta}-cell communication axis with therapeutic potential for restoring insulin secretion in metabolic diseases such as obesity and type 2 diabetes. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/680858v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@790c4dorg.highwire.dtl.DTLVardef@116cceborg.highwire.dtl.DTLVardef@1e76631org.highwire.dtl.DTLVardef@e65770_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

Clinical cure of chronic hepatitis B is dependent on activation and perpetuation of robust CD4+ T cell responses

Chronic infection with hepatitis B virus (HBV), a major global pathogen, often leads to immune-mediated progressive liver injury and liver cancer. While seroclearance of the surface antigen (HBsAg) defines clinical cure and reduces disease-associated risks, HBsAg clearance is rarely observed and remains therapeutically elusive. Here we overcome some of the challenges to studying immune mechanisms of HBsAg clearance in chronic hepatitis B (CHB) using our mouse model of age-dependent HBsAg clearance and persistence, and samples from our BeNEG-DO clinical trial that provided longitudinal PBMCs from patients who either cleared HBsAg or retained stable HBsAg levels after stopping nucleos(t)ide analog therapy. We show that young mice fail to clear HBsAg and have impaired ability to efficiently initiate and sustain HBV-specific CD4+ T cell responses. We also demonstrate a role for CD4+ T cells in hepatic leukocyte organization and cytotoxicity, and in HBV-specific CD8+ T cell cytotoxicity and HBsAg clearance. Upstream of the CD4+ T cell response, we reveal that hepatic dendritic cells, particularly cDC2s, direct effective CD4+ T cell activation and differentiation. Studies in CHB patients identified immune features of HBsAg clearance that overlap with the mouse model, including TH1 and cytotoxic CD4+ T cell activation and CD8+ T cell cytotoxic effector function. These findings identify an essential role for potent CD4+ T cell activation in the clinical cure of CHB and illuminate potential immunotherapeutic targets for enhancing CD4+ T cell responses to achieve greater HBsAg clearance rates. One Sentence SummaryUsing a mouse model of hepatitis B and longitudinal PBMCs from patients with chronic hepatitis B, we identify shared mechanisms of HBsAg seroclearance.

immunology↗

Cell Fate by Design or Chance: Interplay of Nonlinearity and Stochasticity in Gene Regulatory Network motifs

Cell fate decisions emerge from the intricate tug-of-war between deterministic regulatory logic and stochastic molecular fluctuations. How stochasticity, inherent in intracellular Gene Regulatory Networks (the heart of determining cellular fates), shapes cellular regulatory dynamics is central to and essential for both interpreting natural cellular decision-making and designing robust synthetic circuits. In this work, we develop a general mathematical framework based on the linear noise approximation (LNA) to quantify intrinsic fluctuations around the mean expression levels in a single-cell GRN motif with nonlinear cooperative regulatory couplings. The genetic toggle switch (TS) and TS coupled with positive autoregulation, as illustrative examples, exhibit both continuous and discontinuous transitions (bifurcation) between low- and high-expression states driven by nonlinear regulation. We demonstrate that LNA captures both deterministic and stochastic dynamics. We find that the LNA performs well in capturing the inherent stochasticity in both monostable and bistable regimes. Still, deviations arise near bifurcation points: fluctuations are enhanced near criticality in continuous transitions, while finite-size effects dominate discontinuous transitions, analogous to critical phenomena in statistical physics. Finally, we discuss the implications of our framework for designing synthetic gene circuits.

biophysics↗

EPHA2-dependent Ephrin-B1 signaling supports self-renewal ability and recurrence of oral cancer

Eph-Ephrin pathway that drives a bidirectional signaling regulates a plethora of biological activities with its varied level of complexity. While the canonical trans-interaction of the ligand and receptor on neighboring cells initiates forward signaling that brings about biological activities, their cis-interaction on the same cell attenuates the forward signaling, modulating the biological effects. Yet, non-canonical cis-interactions with heterotypic surface proteins and kinases regulate certain biological effects. In cancer, the canonical signaling is believed to be tumor suppressive, while the ligand-independent non-canonical signaling drives tumor progression and poor prognosis. Self-renewal ability of cancer cells is a major underlying cause of recurrence and poor prognosis of cancer. Using SILAC-based proteomics, we identified Ephrin-B1 signaling as a crucial regulator of oral cancer self-renewal. Though Ephrin-B1 is known to regulate normal stem cells, its role in cancer remains underexplored. Our biochemical analyses show that Ephrin-B1 binds to a nonconventional receptor EPHA2, which is known to regulate cancer stem cells (CSCs), though the mechanism is less explored. Contrary to the belief that the cis-interaction of receptors and ligands is a means to block functional signaling, our immunoprecipitation, FRET facilitated photoswitching analysis, proximity ligation assay, and in vitro kinase assay provide evidence for the Ephrin-B1-EPHA2 cis-interaction leading to the phosphorylation of EphrinB1 at Y324/329 and Y317. Extreme limiting dilution assay in vitro and in vivo confirmed that this cis-interaction promotes CSC enrichment. Substantiating our in vitro results, mouse orthotopic models showed that Ephrin-B1/EPHA2 interaction regulates prognosis. The clinical relevance of the finding was validated using a TCGA data set and immunohistochemical analysis of tissue microarray using samples from oral cancer patients with recurrence in comparison to patients, who showed disease-free survival. Given that Ephrin-B interacts with EphB for normal stem cell homeostasis, this unconventional EPHA2/Ephrin-B1 cis-interaction, specifically manifested in CSC niches, might serve as an attractive target for therapy, warranting further validation.

cancer biology↗

Bibliometric Analysis of Circular RNA Cancer Vaccines and Their Emerging Impact

Circular RNA (circRNA) vaccines are emerging as a revolutionary strategy in cancer immunotherapy, offering novel mechanisms for inducing robust and durable immune responses. Unlike traditional linear mRNA vaccines, circRNAs exhibit exceptional stability, enhanced translational efficiency, and resistance to exonuclease degradation, making them ideal candidates for vaccine development. Recent studies have shown that circRNA vaccines play an important and specialized role in cancer treatment. However, there are currently no relevant bibliometric studies. This study aimed to apply bibliometrics and scientometrics to summarize the knowledge structure and research hotspots regarding the role of circRNA vaccines in cancer. Publications related to circRNA vaccines in cancer were searched on the Scopus database. VOSviewer and Scopus were used to conduct the analyses. This study summarizes the research trends and development of circRNA vaccines for cancer and also a comparative analysis between mRNA cancer vaccine and circRNA cancer vaccine identifying potential areas of focus, innovation and growth. This information will provide a reference for researchers to studying circRNA vaccines against cancer due to its increasing trends over recent times.

scientific communication and education↗

Fully Automated MRI-based Analysis of the Locus Coeruleus in Aging and Alzheimer's Disease Dementia using ELSI-Net

INTRODUCTIONThe Locus Coeruleus (LC) is linked to the development and pathophysiology of neurodegenerative diseases such as Alzheimers Disease (AD). Magnetic Resonance Imaging based LC features have shown potential to assess LC integrity in vivo. METHODSWe present a Deep Learning based LC segmentation and feature extraction method: ELSI-Net and apply it to healthy aging and AD dementia datasets. Agreement to expert raters and previously published LC atlases were assessed. We aimed to reproduce previously reported differences in LC integrity in aging and AD dementia and correlate extracted features to cerebrospinal fluid (CSF) biomarkers of AD pathology. RESULTSELSI-Net demonstrated high agreement to expert raters and published atlases. Previously reported group differences in LC integrity were detected and correlations to CSF biomarkers were found. DISCUSSIONAlthough we found excellent performance, further evaluations on more diverse datasets from clinical cohorts are required for a conclusive assessment of ELSI-Nets general applicability. HighlightsO_LIthorough evaluation of a fully automatic LC segmentation method termed ELSI-Net in aging and AD dementia C_LIO_LIELSI-Net outperforms previous work and shows high agreement with manual ratings and previously published LC atlases C_LIO_LIELSI-Net replicates previously shown LC group differences in aging and AD C_LIO_LIELSI-Nets LC volume correlates with CSF biomarkers of AD pathology C_LI RESEARCH IN CONTEXTO_LISystematic Review: The authors reviewed the literature using traditional sources (e.g. Pubmed, Google Scholar). Although there are several publications introducing semi-automatic methods for LC segmentation, the application of Deep Learning methods is underexplored. To the best of our knowledge, this is the first paper using a Deep Learning based approach for automated LC segmentation in AD dementia. C_LIO_LIInterpretation: Our work introduces and evaluates an improved automatic, Deep Learning based LC segmentation and analysis approach. The results suggest a very high potential for practical applicability, e.g. in large-scale clinical studies for neurodegenerative diseases. C_LIO_LIFuture Directions: ELSI-Net can be used to assess LC integrity on large- or small-scale studies in Alzheimers Disease dementia. To ensure robust performance, ELSI-Net should be further evaluated in larger, more diverse datasets comprising varying LC MRI protocols and clinical populations. C_LI

bioinformatics↗

circRNA-miRNA-mRNA networks reveal a proangiogenic action of circNPHP1 in human ischemic heart disease

BackgroundIschemic heart disease (IHD) is characterized by insufficient myocardial blood flow in the left ventricle and aggravated by diabetes mellitus. Endothelial resilience and reparative angiogenesis are tightly controlled processes. Gene expression is regulated by multimodal interactions between RNA species. Circular RNAs (circRNAs) can sponge microRNAs (miRNAs) to reduce the repressive effects of miRNAs on its messenger RNA (mRNAs) targets. MethodsLeft ventricle whole RNA-sequencing (circRNAs, mRNAs) and small RNA- sequencing (miRNAs) datasets were obtained from 3 patient groups: IHD with/out T2DM and controls (N=11 to 12/group) as part of a prospective observational cardiac surgery study. The interactions between differentially expressed (DE) circRNAs, miRNA and mRNAs were identified with a customized bioinformatics pipeline. The emerging networks were screened using endothelial-specific RNA-sequencing datasets from GEO resulting in EC-rich networks. CircRNAs from these networks were subsequently screened (RT-PCR) in endothelial cells (ECs) exposed to disease-mimicking conditions vs control. Afterwards, circRNA pulldown allowed to interrogate the circRNA-miRNAs interactome in ECs. EC biology assays using loss-of-function and gain-of-function approaches corroborated the study. ResultsWe identified novel circRNA-miRNA-mRNA interactions in the human diseased heart. CircNPHP1, which is upregulated in IHD with/out Type-2 diabetes mellitus (T2DM), sponges miR-221-3p to de-repress VEGF-A and BCL2, increasing the angiogenic capacity of ECs under disease and disease-mimicking conditions. ConclusionsThe interactions between individual members of different RNA species are affected by IHD. The therapeutic value of circNPHP1/miR-221-3p axis could be further investigated. Visual Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=61 SRC="FIGDIR/small/597402v2_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@18a3b0forg.highwire.dtl.DTLVardef@2b5dc1org.highwire.dtl.DTLVardef@11848c3org.highwire.dtl.DTLVardef@1511c9e_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIWe found a novel circRNA-miRNA-mRNA network in IHD and Type 2 diabetes. C_LIO_LICircNPHP1 regulates angiogenesis and proliferation in the cardiac ECs exposed to conditions mimicking IHD and Type 2 diabetes. C_LIO_LIWe elucidated a novel pro-angiogenic subnetwork commanded by circNPHP1/miR-221-3p/BCL2/VEGFA. C_LIO_LIWe identified circNPHP1 as a potential new target for therapeutic angiogenesis. C_LI

cell biology↗

Real-time optimization to enhance noninvasive cortical excitability assessment in the human dorsolateral prefrontal cortex

ObjectiveWe currently lack a robust noninvasive method to measure prefrontal excitability in humans. Concurrent TMS and EEG in the prefrontal cortex is usually confounded by artifacts. Here we asked if real-time optimization could reduce artifacts and enhance a TMS-EEG measure of left prefrontal excitability. MethodsThis closed-loop optimization procedure adjusts left dlPFC TMS coil location, angle, and intensity in real-time based on the EEG response to TMS. Our outcome measure was the left prefrontal early (20-60 ms) and local TMS-evoked potential (EL-TEP). ResultsIn 18 healthy participants, this optimization of coil angle and brain target significantly reduced artifacts by 63% and, when combined with an increase in intensity, increased EL-TEP magnitude by 75% compared to a non-optimized approach. ConclusionsReal-time optimization of TMS parameters during dlPFC stimulation can enhance the EL-TEP. SignificanceEnhancing our ability to measure prefrontal excitability is important for monitoring pathological states and treatment response. HighlightsO_LIWe developed a real-time closed-loop optimization procedure to obtain high amplitude early local TEPs (EL-TEPs) from dlPFC TMS. C_LIO_LISequential optimization of coil angle and brain target reduced artifacts by 63%. C_LIO_LISequential optimization of coil angle, brain target, and intensity increased EL-TEP amplitude by 75%. C_LI

neuroscience↗

Circadian rhythm disruption alters mammary gland morphology and accelerates cold aggressive tumorigenesis through a LILRB4-dependent pathway

Epidemiological studies have shown that circadian rhythm disruption (CRD) is associated with the risk of breast cancer. However, the role of CRD in mammary gland morphology and aggressive basal mammary tumorigenesis and the molecular mechanisms underlying CRD and cancer risk remain unknown. To investigate the effect of CRD on aggressive tumorigenesis, a genetically engineered mouse model that recapitulates the human basal type of breast cancer was used for this study. The effect of CRD on mammary gland morphology was investigated using wild-type mice model. The impact of CRD on the tumor microenvironment was investigated using the tumors from LD12:12 and CRD mice via scRNA seq. ScRNA seq was substantiated by multiplexing immunostaining, flow cytometry, and realtime PCR. The effect of LILRB4 immunotherapy on CRD-induced tumorigenesis was also investigated. Here we identified the impact of CRD on basal tumorigenesis and mammary gland morphology and identified the role of LILRB4 on CRD-induced lung metastasis. We found that chronic CRD disrupted mouse mammary gland morphology and increased tumor burden, and lung metastasis and induced an immunosuppressive tumor microenvironment by enhancing LILRB4a expression. Moreover, CRD increased the M2-macrophage and regulatory T-cell populations but decreased the M1-macrophage, and dendritic cell populations. Furthermore, targeted immunotherapy against LILRB4 reduced CRD-induced immunosuppressive microenvironment and lung metastasis. These findings identify and implicate LILRB4a as a link between CRD and aggressive mammary tumorigenesis. This study also establishes the potential role of the targeted LILRB4a immunotherapy as an inhibitor of CRD-induced lung metastasis.

cancer biology↗