Biology subjects

Sasaki, S.

Publications and source records attributed to Sasaki, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Multi-modal comparison of primary and stem cell-derived β-cells nominates targets for maturation

Stem-cell-derived {beta}-like-cells (SC{beta}-cells) provide a promising platform for diabetes modelling and cell replacement therapy, but their incomplete functional maturation remains a challenge. Here, we compared immature SC{beta}-cells to human primary {beta}-cells utilizing a multi-omic, single-cell framework integrating patch-clamp electrophysiology with scRNA sequencing (patch-seq), regulatory network inference, and functional phenotyping. Despite low insulin secretion and reduced insulin content, SC{beta}-cells displayed larger Na+ and Ca2+ currents and depolarization-induced exocytosis. Ultrastructural and metabolic profiling revealed immature insulin granules, altered mitochondrial morphology, elevated basal respiration and proton leak, and diminished spare respiratory capacity and glucose-responsive metabolism. Patch-seq linked exocytotic activity in SC{beta}-cells to oxidative phosphorylation and MYC target programs, consistent with incomplete terminal differentiation, whereas SC{beta}-cells expressing higher levels of mature identity markers showed reduced ion channel hyperactivity. Multi-omics profiling showed that electrophysiological features in SC{beta}-cells were embedded in transcriptional programs distinct from those of primary {beta}-cells and other endocrine cells. Network control theory nominated SREBP1, an endoplasmic reticulum tethered transcription factor regulating cholesterol and lipid homeostasis, as a promising candidate involved in this immature state. Inhibition of cholesterol trafficking increased SREBF1 expression and shifted metabolic and transcriptional features towards a more mature {beta}-like state. These data identify potential targets and pathways that can be leveraged to improve SC{beta}-cell maturation and validate cholesterol and lipid homeostasis through the SREBP1 axis as one such candidate.

cell biology↗

bioRxiv2026

A practical pipeline for volume rendering of trillion-voxel tomographic data

Recent advancements in tomography produce imaging data of geological materials (rocks and fossils) at trillion-voxel scales with multi-channels. Such high-resolution datasets are potentially keys to unveil evolutionary biological information with various shapes and sizes that have not been ever discovered. Volume rendering is an ideal visualization approach for them because it treats all voxels without relying on user-defined surface boundaries. However, these large-scale real-world tomographic data have rarely been volume-rendered at their native resolution, limiting the examination of rich morphological information. Here, we demonstrate a de facto standard volume-rendering pipeline running on a graphical processing unit (GPU)-equipped supercomputing system toward multi-channel, trillion-voxel tomographic data. Our workflow preserves original resolution, capturing detailed morphological information spanning microscopic to macroscopic scales. Systematic comparison of node types shows that GPU memory, rather than host memory, is the primary bottleneck. Our results establish a baseline for large-scale, multi-channel volume rendering of real tomographic data and demonstrate its applicability to geological samples. This work is presented as a practical demonstration of large-scale volume visualization.

paleontology↗

bioRxiv2025

Adaptation of an herbivorous arthropod to green tea plants by overcoming catechin defenses

Green tea catechins are known antioxidants that benefit human health and protect tea plants from biotic stressors. However, some herbivores can counteract catechin defenses and can use tea plants as a host. Among herbivorous mites, an extreme generalist Tetranychus urticae has not been reported as a tea pest. Instead, T. kanzawai, another generalist, has some populations that thrive on tea plants. Here, we investigated the mechanism of the adaptation of these mites to tea plants. Comparative study of the intra- and inter-specific variations in mite performances uncovered differences in their behavioral and xenobiotic responsiveness to green tea catechins. We showed that green tea catechins exert complex defensive roles. They were repellent and toxic to T. urticae and tea non-adapted T. kanzawai mites. In addition, they had an antifeedant effect on tea non-adapted T. kanzawai mites. Matching the catechin structure, we identified an intradiol ring-cleavage dioxygenase DOG15, a gene horizontally transferred from fungi, as one required for the adaptation of T. kanzawai mites to tea plants. The DOG15 gene has an enhanced inducible expression in tea-adapted T. kanzawai mites, with mRNA and protein levels up to 31.6 and 12.1 times higher than in T. urticae mites fed on tea plants. Furthermore, we identified two amino acid substitutions in DOG15 between Tetranychus species leading to the increased efficacy of the T. kanzawai encoded enzyme toward cleavage of green tea catechins. Thus, we showed that mite adaptation to tea plants occurred in a two-step process. The amino acid substitutions in DOG15 predispose T. kanzawai but not T. urticae for the adaptation to tea plants. Further increased expression of modified DOG15 enables T. kanzawai mites to efficiently detoxify green tea catechins, leading to intra- and inter-specific differences in mites ability to use tea plants as a host. Our findings reveal how a horizontally transferred gene can be co-opted through structural and regulatory changes to overcome plant chemical defenses, with implications for herbivore host adaptation and tea pest management.

evolutionary biology↗

bioRxiv2025

Simple and quantitative detection of double-stranded RNA as a signature of pan-virus infections using a luciferase-based biosensor

Viral infections produce double-stranded RNA (dsRNA) during replication, which trigger host innate immune responses. Immunoassays using anti-dsRNA antibodies have been widely employed to detect viral dsRNA. In this study, we used a luciferase-based dsRNA biosensor which consists of protein kinase R (PKR)-derived dsRNA binding domains fused to split luciferase subunits. Here, we demonstrate the use of the dsRNA biosensor to measure viral dsRNA in RNA specimens extracted from cells infected with Japanese encephalitis virus (JEV). Moreover, the biosensor reacts to a broad-spectrum of dsRNAs from infection with representatives of various viral families including positive- and negative-sense single-stranded RNA (ssRNA) viruses, dsRNA viruses, and DNA viruses. We validated the specific interaction between the dsRNA biosensor and viral RNA including subgenomic flavivirus RNA (sfRNA) through RNA immunoprecipitation. Additionally, we observed luminescence signals directly from lysates of JEV-infected cells after cell lysis and phase separation with Triton X-114. Finally, we used the biosensor to assess the activity of antiviral compounds. In summary, our results demonstrate that the luciferase-based dsRNA biosensor offers a simple, homogeneous, and high-throughput platform for quantifying viral replication, presenting a promising alternative to antibody-based dsRNA detection methods.

microbiology↗

bioRxiv2024

HumanIslets: An integrated platform for human islet data access and analysis

Comprehensive molecular and cellular phenotyping of human islets can enable deep mechanistic insights for diabetes research. We established the Human Islet Data Analysis and Sharing (HI-DAS) consortium to advance goals in accessibility, usability, and integration of data from human islets isolated from donors with and without diabetes at the Alberta Diabetes Institute (ADI) IsletCore. Here we introduce HumanIslets.com, an open resource for the research community. This platform, which presently includes data on 547 human islet donors, allows users to access linked datasets describing molecular profiles, islet function and donor phenotypes, and to perform various statistical and functional analyses at the donor, islet and single-cell levels. As an example of the analytic capacity of this resource we show a dissociation between cell culture effects on transcript and protein expression, and an approach to correct for exocrine contamination found in hand-picked islets. Finally, we provide an example workflow and visualization that highlights links between type 2 diabetes status, SERCA3b Ca2+-ATPase levels at the transcript and protein level, insulin secretion and islet cell phenotypes. HumanIslets.com provides a growing and adaptable set of resources and tools to support the metabolism and diabetes research community.

systems biology↗

bioRxiv2024

Evolution of invertebrate Cdk4/6-Cdkn2 system

The cell cycle is driven by cyclin-dependent kinases (Cdks). The decision whether the cell cycle proceeds is made during G1 phase, when Cdk4/6 functions. Cyclin-dependent kinase inhibitor 2 (Cdkn2) is a specific inhibitor of Cdk4/6, and their interaction depends on D84 in Cdkn2 and R24/31 in Cdk4/6. This knowledge is based mainly on studies in mammalian cells. Here, we comprehensively analyzed Cdk4/6 and Cdkn2 in invertebrates and found that Cdk4/6 was present in most of the investigated phyla, but the distribution of Cdkn2 was rather uneven among and within the phyla. The positive charge of R24/R31 in Cdk4/6 was conserved in all analyzed species in phyla with Cdkn2. The presence of Cdkn2 and the conservation of the positive charge were statistically correlated. We also found that Cdkn2 has been tightly linked to Fas associated factor 1 (Faf1) during evolution. We discuss potential interactions between Cdkn2 and Cdk4/6 in evolution and the possible cause of the strong conservation of the microsynteny.

evolutionary biology↗

bioRxiv2023

Calcium-dependent transcriptional profiles of human pancreatic islet cells reveal functional diversity in islet subpopulations

Aims/hypothesisPancreatic islets depend on cytosolic calcium to trigger the secretion of glucoregulatory hormones and regulate the transcription of genes important for the response to stimuli. To date, there has not been an attempt to profile calcium-regulated gene expression in all islet cell types. Our aim was to construct a large single-cell transcriptomic dataset from human islets exposed to conditions that would acutely induce or inhibit intracellular calcium signalling, while preserving biological heterogeneity. MethodsWe exposed intact human islets from three donors to the following conditions: (1) 2.8 mM glucose; (2) 25 mM glucose and 40 mM KCl to maximally stimulate calcium signalling; and (3) 25 mM glucose, 40 mM KCl and 5 mM EGTA (calcium chelator) to inhibit calcium signalling, for 1 hour. We sequenced 43,909 cells from all islet cell types, and further subsetted the cells to form an endocrine cell-specific dataset of 32,486 cells expressing INS, GCG, SST or PPY. We compared transcriptomes across conditions to determine the differentially expressed calcium-regulated genes in each endocrine cell type, and in each endocrine cell subcluster of alpha and beta cells. ResultsBased on the number of calcium-regulated genes, we found that each alpha and beta cell cluster had a different magnitude of calcium response. We also showed that a polyhormonal cluster expressing INS, GCG, and SST is defined by calcium-regulated genes specific to this cluster. Finally, we identified the gene PCDH7 from the beta cell clusters that had the highest number of calcium-regulated genes, and showed that cells expressing cell surface PCDH7 protein have enhanced glucose-stimulated insulin secretory function. ConclusionsHere we use our single-cell dataset to show that human islets have cell-type-specific calcium-regulated gene expression profiles, some of them specific to subpopulations. In our dataset, we identify PCDH7 as a novel marker of beta cells having an increased number of calcium-regulated genes and enhanced insulin secretory function. Data availabilityA searchable and user-friendly format of the data in this study, specifically designed for rapid mining of single-cell RNA sequencing data, is available at https://lynnlab.shinyapps.io/Hislet_2023/. The raw data files are available at NCBI Gene Expression Omnibus (GSE196715).

physiology↗

bioRxiv2023

LipidSIM: inferring mechanistic lipid biosynthesis perturbations from lipidomics with a flexible, low-parameter, systematic Markov Modeling framework

Lipid metabolism is a complex and dynamic system involving numerous enzymes at the junction of multiple metabolic pathways. Disruption of these pathways leads to systematic dyslipidemia, a hallmark of many pathological developments, such as nonalcoholic steatohepatitis and diabetes. Recent advances in computational tools can provide insights into the dysregulation of lipid biosynthesis, but limitations remain due to the complexity of lipidomic data, limited knowledge of interactions among involved enzymes, and technical challenges in standardizing across different lipid types. In this study, we present a low-parameter, biologically interpretable framework named Lipid Synthesis Investigative Markov model (LipidSIM), which models and predicts the source of perturbations in lipid biosynthesis from lipidomic data. LipidSIM achieves this by accounting for the interdependency between the lipid species via the lipid biosynthesis network and generates testable hypotheses regarding changes in lipid biosynthetic reactions. This feature allows the integration of lipidomics with other omics types, such as transcriptomics, to elucidate the direct driving mechanisms of altered lipidomes due to treatments or disease progression. To demonstrate the value of LipidSIM, we first applied it to hepatic lipidomics following Keap1 knockdown and found changes in mRNA expression of the lipid pathways were consistent with the LipidSIM-predicted fluxes. Second, we used it to study lipidomic changes following intraperitoneal injection of CCl4 to induce fast NAFLD/NASH development and the progression of fibrosis and hepatic cancer. Finally, to show the power of LipidSIM for classifying samples with dyslipidemia, we used a Dgat2-knockdown study dataset. Thus, we show that as it demands no a priori knowledge of enzyme kinetics, LipidSIM is a valuable and intuitive framework for extracting biological insights from complex lipidomic data.

bioinformatics↗

bioRxiv2023

Subchronic Toxicity Assessment of Perfluoroalkyl Substances by Mixed Exposure of Nine Substances at Daily Intake Relevant Concentration

Per- and poly-fluoroalkyl substances (PFAS) have been utilized extensively for various applications owing to their distinctive chemical properties. They exhibit high persistence in the environment and accumulate within the human body, necessitating toxicity assessments. However, the consequences of prolonged, low-level exposure to PFAS and concurrent exposure to multiple PFAS have not been explored. In this study, male C57BL/6J mice (aged 8 weeks) were exposed to a composite of nine PFAS, which include long-chain PFAS (e.g. perfluorooctanoic acid and perfluorooctanesulfonic acid) and short-chain PFAS (e.g. perfluorobutanoic acid and perfluorobutanesulfonic acid) at concentrations equivalent to the estimated daily human intake in the composition reported (1 {micro}g/L [sum of the nine compounds], the maximum reported exposure concentration) via drinking water. Histological examination revealed vacuolization of hepatocytes and irregular arrangement of hepatocyte cords, suggesting that exposure to low levels of the PFAS mixture causes morphological changes in liver tissues. Transcriptome analysis revealed that PFAS exposure mainly altered a group of genes related to metabolism and chemical carcinogenesis. Machine learning analysis of the liver metabolome showed a typical concentration-independent alteration upon PFAS exposure, and in addition to known substances such as glutathione, a compound with unknown biological function; 2,5-dihydro-2,4-dimethyloxazole was found. This study demonstrates that daily exposure to PFAS leads to morphological changes in liver tissues and alters the expression of metabolism-and cancer-related genes as well as phospholipid metabolism. Future studies are required to evaluate the chronic toxicity of prolonged, low-level exposure to PFAS mixtures and to investigate the health effects of PFAS.

pharmacology and toxicology↗

bioRxiv2023

Tracking insulin- and glucagon-expressing bihormonal cells during differentiation using an INSULIN and GLUCAGON double reporter human embryonic stem cell line

Human embryonic stem cell (hESC)-derived pancreatic alpha and beta cells can be used to develop cell replacement therapies to treat diabetes. However, recent published differentiation protocols yield varying amounts of alpha and beta cells amidst heterogeneous cell populations. To visualize and isolate hESC-derived alpha and beta cells, we generated a GLUCAGON-2A- mScarlet and INSULIN-2A-EGFP dual fluorescent reporter (INSEGFPGCGmScarlet) hESC line using CRISPR/Cas9. We established robust expression of EGFP and mScarlet fluorescent proteins in insulin- and glucagon-expressing cells respectively without compromising the differentiation or function of these cells. We also showed the insulin- and glucagon-expressing bihormonal population at the maturing endocrine cell stage (Stage 6) lose insulin expression over time, while maintaining an alpha-like expression profile, suggesting these bihormonal cells are preferentially fated to become alpha-like cells in vitro. Together, the INSEGFPGCGmScarlet hESC line provides an efficient strategy for tracking populations of hESC-derived beta- and alpha-like cells.

developmental biology↗

bioRxiv2022

Type 2 diabetes susceptibility gene GRK5 regulates physiological pancreatic β-cell proliferation via phosphorylation of HDAC5 in mice

ObjectiveDiabetes onset is accompanied with {beta}-cell deficiency, and thus restoring functional {beta}-cell mass is a promising therapy for those with diabetes. However, the regulatory mechanisms controlling {beta}-cell mass are not fully understood. Previously, we demonstrated that the transcription factor SOX4 is required for {beta}-cell proliferation in the prediabetic state. To elucidate potential mechanisms by which SOX4 regulates {beta}-cell mass, we performed RNA sequencing (RNA-seq) using pancreatic {beta}-cell specific SOX4 knockout mice ({beta}SOX4 KO). The RNA-seq revealed decreased expression of GRK5, a known type 2 diabetes susceptibility gene whose association with diabetes has not been fully elucidated. Therefore, we aimed to clarify the function of GRK5 in pancreatic {beta} cells. MethodsWe generated a novel pancreatic {beta} cell-specific GRK5 knockout mass ({beta}GRK5 KO) and evaluated glucose tolerance and metabolic changes by body weight measurement, oral glucose tolerance test, and insulin tolerance test. The number of pancreatic {beta} cells was quantified by immunohistochemistry. Glucose loading and Ca2+ imaging was performed on isolated islets to evaluate insulin secretory capacity. To elucidate the mechanism of {beta}GRK5 on {beta} cell mass regulation, we performed RNA-seq of isolated islets and identified the signaling pathways that could be regulated by GRK5. Furthermore, in vitro experiments were conducted using human islets and mouse {beta}GRK5 KO islets to clarify the direct effects of GRK5 on these pathways. Results{beta}GRK5 KO islets showed impaired glucose tolerance and insulin secretion, but no change in body weight or insulin resistance, suggesting that the main cause of impaired glucose tolerance is impaired insulin secretion. Isolated islets showed no abnormalities in insulin secretory capacity or changes in calcium influx, but histologically showed a decrease in {beta} cell mass. Consistent with the decreased {beta} cell mass in {beta}GRK5 KO, the cell cycle inhibitor gene Cdkn1a was upregulated in {beta}GRK5 KO islets; this phenocopies the {beta}SOX4 KO. Furthermore, we found that Grk5 positively regulates facultative increases in {beta} cell mass through activity-dependent phosphorylation of HDAC5 and subsequent transcription of immediate early genes (IEGs) such as Nr4a1, Fosb, Junb, Arc, Egr1 and Srf. ConclusionsOur results suggest that GRK5 is associated with type 2 diabetes through regulation of {beta} cell mass. GRK5 could become a potential target of cell therapy to preserve functional {beta} cells during the progression towards frank diabetes.

physiology↗

bioRxiv2022

The conserved upstream ORF of the Arabidopsis ANAC082 gene mediates translational upregulation in response to nucleolar stress

Perturbations in ribosome biogenesis cause a type of cellular stress called nucleolar or ribosomal stress, which triggers adaptive responses in both animal and plant cells. The Arabidopsis ANAC082 transcription factor has been identified as a key mediator of the plant nucleolar stress response. The 5'-untranslated region (5'-UTR) of ANAC082 mRNA contains an upstream ORF (uORF) encoding an evolutionarily conserved amino acid sequence. Here, we report that this uORF mediates the upregulation of ANAC082 translation in response to nucleolar stress. When transgenic Arabidopsis plants containing a luciferase reporter gene under the control of the ANAC082 promoter and 5'-UTR were treated with reagents that induced nucleolar stress, translation of the reporter gene was enhanced in a uORF sequence-dependent manner. Additionally, we examined the effect of an endoplasmic reticulum (ER) stress-inducing reagent on reporter gene expression because the closest homolog of ANAC082 in Arabidopsis, ANAC103, is involved in the ER stress response. However, the ANAC082 uORF did not respond to ER stress. Interestingly, although ANAC103 has a uORF with an amino acid sequence similar to that of the ANAC082 uORF, the C-terminal sequence critical for regulation is not well conserved among ANAC103 homologs in Brassicaceae. Transient expression assays revealed that unlike the ANAC082 uORF, the ANAC103 uORF does not exert a sequence-dependent regulatory effect. Altogether, our findings suggest that the ANAC082 uORF is important for the nucleolar stress response but not for the ER stress response, and that for this reason, the uORF sequence-dependent translational regulation was lost in ANAC103 during evolution.

plant biology↗

bioRxiv2021

Nuclear activation in dual-durotaxing cells on a matrix with cell-scale stiffness-heterogeneity

Living organisms are typically composed of various tissues with microscopic cell-scale stiffness-heterogeneity, in which some cells receive dynamically fluctuating mechanical stimuli from the heterogeneous extracellular milieu during long-term movement. Although intracellular stress dynamics (ISD), which are closely related to the regulation of cell functions such as proliferation and differentiation, can be characteristically modulated in cells migrating on a matrix with stiffness-heterogeneity, it has been unclear how the mode of fluctuation of ISD affects cell functions. In the present study, we demonstrate that mesenchymal stem cells (MSCs) dual-durotaxing (i.e., both forward and reverse durotaxis) on microelastically-patterned gels with stiff triangular domains markedly amplify the fluctuation of ISD, nuclear shape, and the spatial distribution of chromatins, which makes the cells remain far from tensional equilibrium. We provide evidence that amplified chromatin fluctuation in the dual-durotaxing MSCs can cause activation of cellular vigor and maintenance of the stemness.

biophysics↗

bioRxiv2021

In silico discovery of small molecules for efficient stem cell differentiation into definitive endoderm

Improving methods for human embryonic stem cell differentiation represents a challenge in modern regenerative medicine research. Using drug repurposing approaches, we discover small molecules that regulate the formation of definitive endoderm. Among them are inhibitors of known processes involved in endoderm differentiation (mTOR, PI3K, and JNK pathways) and a new compound, with an unknown mechanism of action, capable of inducing endoderm formation in the absence of growth factors in the media. Optimization of the classical protocol by including this compound achieves the same differentiation efficiency with a 90% cost reduction. The gene expression profile induced by the compound suggests that it is an inhibitor of the MYC pathway. The proposed in silico procedure for candidate molecule selection has broad potential for improving stem cell differentiation protocols.

bioinformatics↗

bioRxiv2021

A novel hamster model of SARS-CoV-2 respiratory infection using a pseudotyped virus

BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a biosafety level (BSL)-3 pathogen; therefore, its research environment is strictly limited. Pseudotyped viruses that mimic SARS-CoV-2 have been widely used for in vitro evaluation because they are available in BSL-2 containment laboratories; however, in vivo application is inadequate. Therefore, animal models that can be instigated with animal BSL-2 will increase opportunities for in vivo evaluations. MethodsHamsters (6-to 10-week-old males) were intratracheally inoculated with luciferase-expressing vesicular stomatitis virus (VSV)-based SARS-CoV-2 pseudotyped virus. The lungs were harvested 24 h after inoculation, and luminescence was measured using an in vivo imaging system. ResultsLung luminescence after inoculation with the SARS-CoV-2 pseudotyped virus increased in a dose-dependent manner. VSV-G (envelope [G]) pseudotyped virus also induced luminescence; however, a 100-fold concentration was required to reach a level similar to that of the SARS-CoV-2 pseudotyped virus. ConclusionsThe SARS-CoV-2 pseudotyped virus is applicable to SARS-CoV-2 respiratory infections in a hamster model. Because of the single-round infectious virus, the model can be used to study the steps from viral binding to entry, which will be useful for future research regarding SARS-CoV-2 entry without using live SARS-CoV-2 or transgenic animals.

microbiology↗

bioRxiv2021

Genome-wide identification of Arabidopsis non-AUG-initiated upstream ORFs with evolutionarily conserved regulatory sequences that control protein expression levels

Upstream open reading frames (uORFs) are short ORFs found in the 5'-UTRs of many eukaryotic transcripts and can influence the translation of protein-coding main ORFs (mORFs). Recent genome-wide ribosome profiling studies have revealed that thousands of uORFs initiate translation at non-AUG start codons. However, the physiological significance of these non-AUG uORFs has so far been demonstrated for only a few of them. It is conceivable that physiologically important non-AUG uORFs are evolutionarily conserved across species. In this study, using a combination of bioinformatics and experimental approaches, we searched the Arabidopsis genome for non-AUG-initiated uORFs with conserved sequences that control the expression of the mORF-encoded proteins. As a result, we identified four novel regulatory non-AUG uORFs. Among these, two exerted repressive effects on mORF expression in an amino acid sequence-dependent manner. These two non-AUG uORFs are likely to encode regulatory peptides that cause ribosome stalling, thereby enhancing their repressive effects. In contrast, one of the identified regulatory non-AUG uORFs promoted mORF expression by alleviating the inhibitory effect of a downstream AUG-initiated uORF. These findings provide insights into the mechanisms that enable non-AUG uORFs to play regulatory roles despite their low translation initiation efficiencies.

genomics↗

bioRxiv2019

A highly multiplexed melt-curve assay for detecting the most prevalent carbapenemase, ESBL and AmpC genes

Resistance to third generation cephalosporins and carbapenems in Gram-negative bacteria is chiefly mediated by beta-lactamases including ESBL, AmpC and carbapenemase enzymes. Routine phenotypic detection methods do not provide timely results, and there is a lack of comprehensive molecular panels covering all important markers. An ESBL/carbapenemase HRM assay (SHV, TEM, CTX-M ESBLs, and NDM, IMP, KPC, VIM and OXA-48-like carbapenemases) and an AmpC HRM assay (16S rDNA control, FOX, MOX, ACC, EBC, CIT and DHA) were designed, and evaluated on 111 Gram-negative isolates with mixed resistance patterns. The sensitivity for carbapenemase, ESBL and AmpC genes was 96.7% (95%CI:82.8-99.9%), 93.6% (95%CI:85.7-97.9%) and 93.8% (95%CI:82.8-98.7%), respectively with a specificity of 100% (95%CI:95.6-100%), 93.9% (95%CI:79.8-99.3%) and 93.7% (95%CI:84.5-98.2%). The HRM assays enable the simultaneous detection of the fourteen most important ESBL, carbapenemase and AmpC genes and could be used as a molecular surveillance tool or to hasten detection of AMR for treatment management.

microbiology↗

bioRxiv2019

Aggressive periodontitis with neutropenia caused by MMD2 mutation

Aggressive periodontitis causes rapid periodontal tissue destruction and is a disease that occurs at a young age and runs in the patients family. Here, we revealed a heterozygous A116V missense mutation in the gene encoding monocyte to macrophage differentiation associated 2 (MMD2) protein in a Japanese family with aggressive periodontitis and neutropenia. Analyses of patients peripheral blood revealed a low number of neutrophils but abundant quantity of CD34+ hematopoietic stem and progenitor cells (HSPCs). Moreover, mutant Mmd2 mice showed severe alveolar bone loss and neutropenia. In patients and mutant Mmd2 mice, differentiation of HSPCs into granulocytes was also impeded, and their granulocytes were functionally impaired. Taken together, A116V mutation in MMD2 gene induced mild neutropenia and slightly limited the immune defense response. Our studies suggested that aggressive periodontitis in association with A116V MMD2 mutation constitutes a new immune system defect that belongs to the same spectrum of severe congenital neutropenia.

genomics↗