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The NLRP3 inflammasome is a central component of the innate immune system. Its activation leads to formation of the ASC speck, a supramolecular assembly of the inflammasome adaptor protein ASC. Different models, based on ASC overexpression, have been proposed for the structure of the ASC speck. Using dual-color 3D super-resolution imaging (dSTORM and DNA-PAINT), we visualized the ASC speck structure following NLRP3 inflammasome activation using endogenous ASC expression. A complete structure was only obtainable by labeling with both anti-ASC antibodies and nanobodies. The complex varies in diameter between â¼800 and 1000 nm, and is composed of a dense core with emerging filaments. Dual-color confocal fluorescence microscopy indicated that the ASC speck does not colocalize with the microtubule-organizing center at late time points after Nigericin stimulation. From super-resolution images of whole cells, the ASC specks were sorted into a pseudo-time sequence indicating that they become denser but not larger during formation.
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Multi-omics analyses are used in microbiome studies to understand molecular changes in microbial communities exposed to different conditions. However, it is not always clear how much each omics data type contributes to our understanding and whether they are concordant with each other. Here, we map the molecular response of a synthetic community of 32 human gut bacteria to three non-antibiotic drugs by using five omics layers (16S rRNA gene profiling, metagenomics, metatranscriptomics, metaproteomics and metabolomics). We find that all the omics methods with species resolution are highly consistent in estimating relative species abundances. Furthermore, different omics methods complement each other for capturing functional changes. For example, while nearly all the omics data types captured that the antipsychotic drug chlorpromazine selectively inhibits Bacteroidota representatives in the community, the metatranscriptome and metaproteome suggested that the drug induces stress responses related to protein quality control. Metabolomics revealed a decrease in oligosaccharide uptake, likely caused by Bacteroidota depletion. Our study highlights how multi-omics datasets can be utilized to reveal complex molecular responses to external perturbations in microbial communities.
Subject(s)
Microbiota , Multiomics , Humans , RNA, Ribosomal, 16S/genetics , Microbiota/genetics , Metabolomics/methods , Bacteria/genetics , Metagenomics/methodsABSTRACT
RATIONALE: Brain iron accumulation has been observed in neuropsychiatric disorders and shown to be related to neurodegeneration. OBJECTIVES: In this study, we used quantitative susceptibility mapping (QSM), an emerging MRI technique developed for quantifying tissue magnetic susceptibility, to examine brain iron accumulation in individuals with alcohol use disorder (AUD) and its relation to compulsive drinking. METHODS: Based on our previous projects, QSM was performed as a secondary analysis with gradient echo sequence images, in 186 individuals with AUD and 274 healthy participants. Whole-brain susceptibility values were calculated with morphology-enabled dipole inversion and referenced to the cerebrospinal fluid. Then, the susceptibility maps were compared between AUD individuals and healthy participants. The relationship between drinking patterns and susceptibility was explored. RESULTS: Whole-brain analyses showed that the susceptibility in the dorsal striatum (putamen and caudate) among AUD individuals was higher than healthy participants and was positively related to the Obsessive Compulsive Drinking Scale (OCDS) scores and the amount of drinking in the past three months. CONCLUSIONS: Increased susceptibility suggests higher iron accumulation in the dorsal striatum in AUD. This surrogate for the brain iron level was linearly associated with the compulsive drinking pattern and the recent amount of drinking, which provides us a new clinical perspective in relation to brain iron accumulation, and also might indicate an association of AUD with neuroinflammation as a consequence of brain iron accumulation. The iron accumulation in the striatum is further relevant for functional imaging studies in AUD by potentially producing signal dropout and artefacts in fMRI images.
Subject(s)
Alcoholism , Humans , Alcoholism/diagnostic imaging , Brain/diagnostic imaging , Gray Matter , Alcohol Drinking , Brain Mapping/methods , Magnetic Resonance Imaging/methods , Iron/analysisABSTRACT
The electrical and biological interfacial properties of invasive electrodes have a significant impact on the performance and longevity of neural recordings in the brain. In this study, we demonstrated rapid electrophoretic deposition and electrochemical reduction of graphene oxide (GO) on metal-based neural electrodes. Scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS) and other characterizations confirmed the existence of a uniform and effectively reduced graphene oxide coating. Electrochemically reduced graphene oxide (ErGO) coated Pt/Ir neural electrodes exhibited 15.2-fold increase in charge storage capacity (CSC) and 90% decrease in impedance with only 3.8% increase in electrode diameter. Patch clamp electrophysiology and calcium imaging of primary rat hippocampus neurons cultured on ErGO demonstrated that there was no adverse impact on the functional development of neurons. Immunostaining showed a balanced growth of excitatory and inhibitory neurons, and astrocytes. Acute recordings from the auditory cortex and chronic recordings (19 days) from the somatosensory cortex found ErGO coating improved the performance of neural electrodes in signal-to-noise ratio (SNR) and amplitude of signals. The proposed approach not only provides an in-depth evaluation of the effect of ErGO coating on neural electrodes but also widens the coating methods of commercial neural electrodes.
Subject(s)
Graphite , Animals , Rats , Graphite/chemistry , Electrodes , Photoelectron Spectroscopy , ElectrophoresisABSTRACT
Microbial genes encode the majority of the functional repertoire of life on earth. However, despite increasing efforts in metagenomic sequencing of various habitats1-3, little is known about the distribution of genes across the global biosphere, with implications for human and planetary health. Here we constructed a non-redundant gene catalogue of 303 million species-level genes (clustered at 95% nucleotide identity) from 13,174 publicly available metagenomes across 14 major habitats and use it to show that most genes are specific to a single habitat. The small fraction of genes found in multiple habitats is enriched in antibiotic-resistance genes and markers for mobile genetic elements. By further clustering these species-level genes into 32 million protein families, we observed that a small fraction of these families contain the majority of the genes (0.6% of families account for 50% of the genes). The majority of species-level genes and protein families are rare. Furthermore, species-level genes, and in particular the rare ones, show low rates of positive (adaptive) selection, supporting a model in which most genetic variability observed within each protein family is neutral or nearly neutral.
Subject(s)
Metagenome , Metagenomics , Anti-Bacterial Agents/pharmacology , Drug Resistance, Microbial , Ecosystem , Humans , Metagenome/geneticsABSTRACT
We present an unusual case of a 60-year-old female who developed subtle, new-onset left upper and lower extremity weakness on day five of perioperative thoracic epidural placement. The onset of a focal neurological deficit after epidural placement usually raises suspicion for the presence of an epidural hematoma, abscess, or traumatic cord lesion. However, in this patient, brain imaging revealed a large, previously undiagnosed intracranial mass. Classically, the risk of mass-related intracranial pressure shifts leading to neurological changes is associated with spinal techniques, including diagnostic lumbar puncture, combined spinal-epidural catheter analgesia, and unintended dural puncture during epidural placement. However, based on this case and our summary of case reports in the literature, we determined that symptom onset associated with an intracranial mass may also arise after apparently uncomplicated epidural placement. Symptom onset in our case series ranged from six hours to ten days and was highly variable depending on tumor location, with reported signs and symptoms including headache, vision changes, focal deficits, or alterations of consciousness. Further studies are required to establish definitive causation between the epidural technique and changes in cerebrospinal fluid pressures leading to symptom onset. Though rare, this is a time-sensitive diagnosis that must be considered for any patient with unexplained neurological findings after neuraxial anesthesia.
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OBJECTIVE: To assess the effect the Pre-clerkship Residency Exploration Program (PREP) had on student career interest and improving understanding of physical medicine and rehabilitation (PMR). DESIGN: During a 2-week program, students were exposed to a PMR elective, workshop, career presentation, and panel discussion with PMR residents. Interest and understanding were assessed using pre- and postprogram questionnaires. SETTING: PREP was held at a Canadian medical school during the summer between the second and third years of undergraduate medical training. PARTICIPANTS: Second-year medical student participants (N=40) (26 women and 14 men, aged 20 to >30 y) were randomly selected from 74 applicants at a Canadian medical school. INTERVENTIONS: Of the 40 program participants, 20 participated in a PMR elective and specialty-specific workshop. The full cohort of 40 participants participated in the PMR career presentation and PMR resident panel discussion. MAIN OUTCOME MEASURE: Primary outcome measure was an increase in understanding of the PMR specialty. RESULTS: Understanding of the roles and responsibilities of physiatrists increased significantly, with larger trends in those with greater exposure time. After PREP, comfort level in common PMR procedures also significantly increased. Higher exposure time was correlated with an increased top 3 career selection. Student interest in PMR did not significantly change after the program. CONCLUSION: Although no statistically significant effects were found from the 2-week PREP in this population in terms of career choice, benefits were found in the participants comfort with PMR procedures and understanding the roles and responsibilities of physiatrists. A brief exposure as part of a 2-week summer elective is beneficial for career decision planning and may be feasible to implement in medical curricula.
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PURPOSE: To apply an artificial neural network (ANN) for fast and robust quantification of the oxygen extraction fraction (OEF) from a combined QSM and quantitative BOLD analysis of gradient echo data and to compare the ANN to a traditional quasi-Newton (QN) method for numerical optimization. METHODS: Random combinations of OEF, deoxygenated blood volume ( ν ), R2 , and nonblood magnetic susceptibility ( χnb ) with each parameter following a Gaussian distribution that represented physiological gray matter and white matter values were used to simulate quantitative BOLD signals and QSM values. An ANN was trained with the simulated data with added Gaussian noise. The ANN was applied to multigradient echo brain data of 7 healthy subjects, and the reconstructed parameters and maps were compared to QN results using Student t test and Bland-Altman analysis. RESULTS: Intersubject means and SDs of gray matter were OEF =43.5±0.8 %, R2=13.5±0.3 Hz, ν=3.4±0.1 %, χnb=-25±5 ppb for ANN; and OEF = 43.8±5.2 %, R2=12.2±0.8 Hz, ν=4.2±0.6 %, χnb=-39±7 ppb for QN, with a significant difference ( P<0.05 ) for R2 , ν , and χnb . For white matter, they were OEF = 47.5±1.1 %, R2=17.1±0.4 Hz, ν=2.5±0.2 %, χnb=-38±5 ppb for ANN; and OEF =42.3±5.6 %, R2=16.7±0.7 Hz, ν=2.9±0.3 %, χnb=-45±9 ppb for QN, with a significant difference ( P<0.05 ) for OEF and ν . ANN revealed more gray-white matter contrast but less intersubject variation in OEF than QN. In contrast to QN, the ANN reconstruction did not need an additional sequence for parameter initialization and took approximately 1 s rather than roughly 1 h. CONCLUSION: ANNs allow faster and, with regard to initialization, more robust reconstruction of OEF maps with lower intersubject variation than QN approaches.
Subject(s)
Magnetic Resonance Imaging , Neural Networks, Computer , Oxygen/metabolism , Adult , Brain/diagnostic imaging , Brain Mapping/methods , Cerebrovascular Circulation , Computer Simulation , Female , Gray Matter/diagnostic imaging , Healthy Volunteers , Humans , Image Processing, Computer-Assisted , Least-Squares Analysis , Male , Normal Distribution , Oxygen Consumption , Positron-Emission Tomography , White Matter/diagnostic imagingABSTRACT
PURPOSE: To compare gradient echo (GRE) and gradient echo sampling of spin echo (GESSE) sequences for the quantification of the oxygen extraction fraction (OEF) from combined quantitative BOLD and quantitative susceptibility mapping (QSM) with regard to accuracy, precision and parameter initialization. METHODS: GRE and GESSE data were acquired from 7 healthy volunteers. QSM was applied to the GRE data and used as a regularization for the single-compartment quantitative BOLD fit to the GESSE and GRE data, respectively, to quantify OEF, deoxygenated blood volume (ν), R2 , and non-blood susceptibility (χnb ). Intersubject means within gray and white matter, respectively, were compared between GESSE and GRE (Student's t) and gray-white matter contrast was determined for each sequence separately. A single- and multi-compartment simulation was used to compare reconstruction accuracy. RESULTS: Intersubject means and SDs for gray and white matter were OEF = 32.4 ± 1.6%, ν = 2.9 ± 0.1%, R2 = 14.2 ± 0.5 Hz, χnb = -43 ± 5 ppb for GESSE and OEF = 43.0 ± 5.4%, ν = 3.5 ± 0.4%, R2 = 14.4 ± 0.7 Hz, χnb = -43 ± 8 ppb for GRE with a significant difference (P < 0.05) for OEF and ν. Gray-white matter contrast was significant (P < 0.05) in all parameters for GESSE but only in ν and R2 for GRE. All parameters reconstructed from GESSE had higher accuracy than from GRE in the single- but not multi-compartment simulation. CONCLUSION: GESSE yields higher parameter accuracy in simulated gray matter but produces unphysiological gray-white matter contrast in OEF in vivo. GRE produces uniform OEF maps in vivo and is more efficient, which could facilitate a clinical implementation, but revealed biases in simulation. The appropriate sequence should be chosen depending on application.
Subject(s)
Image Interpretation, Computer-Assisted/methods , Magnetic Resonance Imaging/methods , Oxygen/blood , Adult , Female , Gray Matter/diagnostic imaging , Humans , Male , Phantoms, Imaging , White Matter/diagnostic imaging , Young AdultABSTRACT
Precise orientation and transfer of the selected path of insertion and removal is a critical step in cast removable partial denture prosthesis design. An easy technique for registering the same is described using addition silicon putty and a used diamond disk.
Subject(s)
Denture Design/methods , Denture, Partial, Removable , Dental Casting Technique , Dental Materials/therapeutic use , Denture Design/instrumentation , Humans , Silicon/therapeutic useABSTRACT
INTRODUCTION: The development of stenoses after correction of an esophageal atresia or acid and lye burn of the esophagus are well-known problems in pediatric surgery. Currently, stenoses are treated in the majority of cases by repeated balloon dilatations. The diameter of the balloons used is not standardized; standard curves do not exist. The aim of this study was to evaluate the diameter of the esophagus correlated to the body weight of the children as measured in upper gastrointestinal (GI) studies to answer the important question to what extent a stenosis should be dilated. MATERIALS AND METHODS: Within the time period from 2011 through 2016, 60 patients with upper GI studies were selected. Evaluations were blinded to two different examiners. The diameters were measured under maximum contrast filling between the second and third rib (cranial point of measurement) and between the seventh and eighth rib (caudal point of measurement). For both, the anteroposterior and lateral aspect was examined. The diameter was calculated as the arithmetic average of both measurements within one level. The diameters were correlated to the weight of the children. RESULTS: All children (n = 38) within the 3rd to 97th weight percentile were analyzed. Linear correlation and coefficients of 0.67 at the cranial point and 0.70 at the caudal point were found. Mean diameter at the cranial point of measurement was 6.75 mm at the lowest weight (2.6 kg) and 14 mm at 74 kg. Mean weight of these children (standard deviation [SD]) was 25.3 (18.8) kg and median age was 7 years. Within weight groups (0-10 kg; 10-20 kg; 20-35 kg; 35-50 kg; >50 kg), we calculated SD and two side tested critical 95% confidence interval for all measurements (n = 74). CONCLUSION: Although the variation in measurements is considerable, this evaluation gives a reliable hint to which extent esophageal stenoses should be dilated in relation to the body weight. To the best of our knowledge, this is the first investigation to evaluate the diameter of the esophagus in children in relation to the body weight.
Subject(s)
Body Weight , Esophagus/anatomy & histology , Adolescent , Child , Child, Preschool , Esophagus/diagnostic imaging , Female , Humans , Infant , Infant, Newborn , Male , Single-Blind MethodABSTRACT
This article was migrated. The article was marked as recommended. The choice of a future career specialty has always been a stressful decision for medical students. To mitigate this stress and assist students in making more informed career decisions we developed the Pre-clerkship Residency Exploration Program (PREP), a two-week summer elective program that provides students with the opportunity to gain exposure to specialities that traditionally do not receive a lot of attention in medical school. To initiate this student led program we faced many obstacles, suffered many failures, learned a tremendous amount and eventually found success. In this article, we offer 12 tips on how to create a medical education program that is sustainable, effective and receives strong buy-in from faculty and administration. Our tips come from the perspective of students starting their own program but are translatable to anyone interested in taking an innovative idea and seeing it through to fruition.
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BACKGROUND: The identification of body site-specific microbial biomarkers and their use for classification tasks have promising applications in medicine, microbial ecology, and forensics. Previous studies have characterized site-specific microbiota and shown that sample origin can be accurately predicted by microbial content. However, these studies were usually restricted to single datasets with consistent experimental methods and conditions, as well as comparatively small sample numbers. The effects of study-specific biases and statistical power on classification performance and biomarker identification thus remain poorly understood. Furthermore, reliable detection in mixtures of different body sites or with noise from environmental contamination has rarely been investigated thus far. Finally, the impact of ecological associations between microbes on biomarker discovery was usually not considered in previous work. RESULTS: Here we present the analysis of one of the largest cross-study sequencing datasets of microbial communities from human body sites (15,082 samples from 57 publicly available studies). We show that training a Random Forest Classifier on this aggregated dataset increases prediction performance for body sites by 35% compared to a single-study classifier. Using simulated datasets, we further demonstrate that the source of different microbial contributions in mixtures of different body sites or with soil can be detected starting at 1% of the total microbial community. We apply a biomarker selection method that excludes indirect environmental associations driven by microbe-microbe associations, yielding a parsimonious set of highly predictive taxa including novel biomarkers and excluding many previously reported taxa. We find a considerable fraction of unclassified biomarkers ("microbial dark matter") and observe that negatively associated taxa have a surprisingly high impact on classification performance. We further detect a significant enrichment of rod-shaped, motile, and sporulating taxa for feces biomarkers, consistent with a highly competitive environment. CONCLUSIONS: Our machine learning model shows strong body site classification performance, both in single-source samples and mixtures, making it promising for tasks requiring high accuracy, such as forensic applications. We report a core set of ecologically informed biomarkers, inferred across a wide range of experimental protocols and conditions, providing the most concise, general, and least biased overview of body site-associated microbes to date.
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Bacteria/classification , Bacteria/genetics , DNA, Bacterial/genetics , Genome, Bacterial/genetics , Microbiota/genetics , Biomarkers/analysis , Human Body , Humans , Machine LearningABSTRACT
BACKGROUND: Gut microbes influence their hosts in many ways, in particular by modulating the impact of diet. These effects have been studied most extensively in humans and mice. In this work, we used whole genome metagenomics to investigate the relationship between the gut metagenomes of dogs, humans, mice, and pigs. RESULTS: We present a dog gut microbiome gene catalog containing 1,247,405 genes (based on 129 metagenomes and a total of 1.9 terabasepairs of sequencing data). Based on this catalog and taxonomic abundance profiling, we show that the dog microbiome is closer to the human microbiome than the microbiome of either pigs or mice. To investigate this similarity in terms of response to dietary changes, we report on a randomized intervention with two diets (high-protein/low-carbohydrate vs. lower protein/higher carbohydrate). We show that diet has a large and reproducible effect on the dog microbiome, independent of breed or sex. Moreover, the responses were in agreement with those observed in previous human studies. CONCLUSIONS: We conclude that findings in dogs may be predictive of human microbiome results. In particular, a novel finding is that overweight or obese dogs experience larger compositional shifts than lean dogs in response to a high-protein diet.
Subject(s)
Diet , Gastrointestinal Microbiome , Metagenome , Metagenomics , Microbiota , Animals , Dogs , Feces/microbiology , Humans , Metagenomics/methods , Mice , Obesity , SwineABSTRACT
BACKGROUND AND AIMS: Dysfunction of GABAergic inhibitory controls contributes to the development of neuropathic pain. We examined our hypotheses that (1) chronic constriction injury (CCI)-induced neuropathic pain is associated with increased spinal GABAergic neuron apoptosis, and (2) hyperbaric oxygen therapy (HBO) alleviates CCI-induced neuropathic pain by inhibiting GABAergic neuron apoptosis. METHODS: Male rats were randomized into 3 groups: CCI, CCI+HBO and the control group (SHAM). Mechanical allodynia was tested daily following CCI procedure. HBO rats were treated at 2.4 atmospheres absolute (ATA) for 60min once per day. The rats were euthanized and the spinal cord harvested on day 8 and 14 post-CCI. Detection of GABAergic cells and apoptosis was performed. The percentages of double positive stained cells (NeuN/GABA), cleaved caspase-3 or Cytochrome C in total GABAergic cells or in total NeuN positive cells were calculated. RESULTS: HBO significantly alleviated mechanical allodynia. CCI-induced neuropathic pain was associated with significantly increased spinal apoptotic GABA-positive neurons. HBO considerably decreased these spinal apoptotic cells. Cytochrome-C-positive neurons and cleaved caspase-3-positive neurons were also significantly higher in CCI rats. HBO significantly decreased these positive cells. Caspase-3 mRNA was also significantly higher in CCI rats. HBO reduced mRNA expression of caspase-3. CONCLUSIONS: CCI-induced neuropathic pain was associated with increased apoptotic GABAergic neurons induced by activation of key proteins of mitochondrial apoptotic pathways in the dorsal horn of the spinal cord. HBO alleviated CCI-induced neuropathic pain and reduced GABAergic neuron apoptosis. The beneficial effect of HBO may be via its inhibitory role in CCI-induced GABAergic neuron apoptosis by suppressing mitochondrial apoptotic pathways in the spinal cord. IMPLICATIONS: Increased apoptotic GABAergic neurons induced by activation of key proteins of mitochondrial apoptotic pathways in the dorsal horn of the spinal cord is critical in CCI-induced neuropathic pain. The inhibitory role of HBO in GABAergic neuron apoptosis suppresses ongoing neuropathic pain.
Subject(s)
Apoptosis , GABAergic Neurons , Hyperalgesia , Hyperbaric Oxygenation , Neuralgia , Spinal Cord , Animals , Male , Rats , Apoptosis/physiology , Constriction , GABAergic Neurons/physiology , Hyperalgesia/etiology , Hyperalgesia/therapy , Hyperbaric Oxygenation/methods , Neural Inhibition/physiology , Neuralgia/etiology , Neuralgia/therapy , Random Allocation , Rats, Sprague-Dawley , Spinal Cord/physiopathologyABSTRACT
Interactions between taxa are essential drivers of ecological community structure and dynamics, but they are not taken into account by traditional indices of ß diversity. In this study, we propose a novel family of indices that quantify community similarity in the context of taxa interaction networks. Using publicly available datasets, we assessed the performance of two specific indices that are Taxa INteraction-Adjusted (TINA, based on taxa co-occurrence networks), and Phylogenetic INteraction-Adjusted (PINA, based on phylogenetic similarities). TINA and PINA outperformed traditional indices when partitioning human-associated microbial communities according to habitat, even for extremely downsampled datasets, and when organising ocean micro-eukaryotic plankton diversity according to geographical and physicochemical gradients. We argue that interaction-adjusted indices capture novel aspects of diversity outside the scope of traditional approaches, highlighting the biological significance of ecological association networks in the interpretation of community similarity.
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Bacteria/classification , Biota , Computational Biology/methods , Humans , Models, Biological , Oceans and Seas , Phylogeny , Soil Microbiology , Water MicrobiologyABSTRACT
Atomic hydrogen (H) was introduced into steel (AISI 1018 mild steel) by controlled cathodic pre-charging. The resultant steel sample, comprising about 1 ppmw diffusible H, and a reference uncharged sample, were studied using atomic emission spectroelectrochemistry (AESEC). AESEC involved potentiodynamic polarisation in a flowing non-passivating electrolyte (0.6 M NaCl, pH 1.95) with real time reconciliation of metal dissolution using on-line inductively coupled plasma-atomic emission spectroscopy (ICP-OES). The presence of absorbed H was shown to significantly increase anodic Fe dissolution, as evidenced by the enhanced detection of Fe2+ ions by ICP-OES. We discuss this important finding in the context of previously proposed mechanisms for H-effects on the corrosion of steels.
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Infantile middle ear capillary haemangiomas (MECH) are a rare entity with only five reported cases in the literature. At present there is no consensus regarding the management of such lesions. Extra-cutaneous haemangiomas have been successfully managed with oral propranolol but not yet reported in MECH. We present a further case and appraise the management options. At present oral propranolol has not been used in the treatment of MECH. The literature suggests that infantile MECH have a higher propensity to spontaneously involute and a greater likelihood of response to propranolol. Surgical excision is the best option in older children and adults.