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Biology subjects

Kashyap, S.

Publications and source records attributed to Kashyap, S..

At least 19 recordsLinked to original sources

Microscale assay to evaluate the minimum inhibitory concentration of purified compounds with limited sample volume

The minimum inhibitory concentration (MIC) is a standard measure for describing the lowest effective dose concentration of an antimicrobial compound in clinical practice; yet, conventional assays often require a substantial amount of antimicrobial compound, limiting their use with scarce, purified agents. Here, we describe a simple and reproducible technique to evaluate the MIC for purified compounds with a limited sample size. The protocol describes the MIC steps against a bacterial strain while minimizing the use of reagents and materials. It is helpful for screening purified natural products as antimicrobial agents and in early-stage drug discovery. The protocol adapts standard microplate-based assays for two-fold dilution of the compound, ensuring their applicability in microbiological studies. The MIC value of the standard antibiotic kanamycin against Staphylococcus aureus, Vibrio fischeri, Klebsiella pneumoniae, and Escherichia coli was determined using our method, and was found to be consistent with the conventional broth microdilution method, validating its reliability. Therefore, this method offers a practical and viable solution for antimicrobial drug discovery, addressing the disparity between limited compound availability and comprehensive microbiological assessment of MIC.

microbiology↗

ARL15 promotes inflammatory fibroblast activation and disease severity in rheumatoid arthritis: integrated transcriptomic and collagen-induced arthritis model analyses

BackgroundADP-ribosylation factor-like protein 15 (ARL15) is a rheumatoid arthritis (RA) susceptibility gene identified through GWAS. Previous studies suggested a role for ARL15 in synovial fibroblast (SF) pathogenicity, but its contribution to inflammatory arthritis remains unclear. We investigated the inflammatory role of ARL15 and its therapeutic potential in RA. MethodsARL15 was overexpressed in MH7A cells followed by bulk RNA sequencing and pathway enrichment analyses. Therapeutic relevance was evaluated in collagen-induced arthritis (CIA) mouse model using anti-ARL15 monoclonal antibodies, ARL15-targeting siRNA, or isoquinoline. Arthritis scores, histopathology, micro-CT and serum cytokines were assessed. Publicly available single-cell RNA sequencing (scRNA-seq) datasets were analyzed to determine ARL15 expression in RASF subsets. ResultsARL15 overexpression induced a pro-inflammatory transcriptional program characterized by upregulation of IL1A, IL1B, IL6, IL8, CXCL1, CXCL10, and CCL20. Gene set enrichment analysis revealed activation of IL6-JAK-STAT, TNF, interferon-response, and KRAS signaling pathways, with suppression of oxidative phosphorylation, lipid metabolism, and mTORC1 signaling. In CIA mice, ARL15 inhibition significantly reduced arthritis severity, inflammatory infiltrates, and joint destruction while preserving cartilage and bone integrity. Serum TNF-, IL-6, and IL-1{beta} levels were markedly decreased following ARL15 blockade. Combination monoclonal antibody treatment demonstrated the greatest therapeutic benefit. scRNA-seq analysis showed broad ARL15 expression across RA fibroblast populations, with enrichment in inflammatory lining and SF subsets. ConclusionsARL15 is a pro-inflammatory regulator of SF activation and arthritis progression. Integrated transcriptomic, single-cell, and in vivo analyses identify ARL15 as a therapeutic target for RA and support further translational development of ARL15 based therapies.

immunology↗

Lactylation landscape of mitochondrial proteins in myocardial infarction

Metabolic reprogramming is a hallmark of myocardial infarction (MI), in which cardiomyocytes shift from fatty acid oxidation to anaerobic glycolysis, leading to elevated lactate production and mitochondrial dysfunction. Lactylation, a recently described lysine post-translational modification, has emerged as a metabolic signaling mechanism; however, its role within mitochondria during MI remains poorly understood. Here, we define the mitochondrial lactylome following MI and examine how modulation of lactate transport influences mitochondrial metabolism and redox homeostasis. Using quantitative proteomics, we identify extensive remodeling of mitochondrial protein lactylation after MI, affecting enzymes involved in bioenergetics, redox regulation, and metabolic control. Pharmacological inhibition of monocarboxylate transporter-1 (MCT1) using AZD3965 further reshapes the mitochondrial lactylome, increasing lactylation of specific metabolic and redox-associated proteins without uniformly exacerbating mitochondrial dysfunction. Despite sustained impairment of global cardiac function, MCT1 inhibition attenuates post-MI fibrosis and inflammation and partially restores mitochondrial respiratory capacity. Consistent with in vivo findings, genetic or pharmacological inhibition of MCT1 in hypoxic cardiomyocytes-derived cells reduces mitochondrial reactive oxygen species, decreases inhibitory pyruvate dehydrogenase phosphorylation, and improves mitochondrial bioenergetics. Together, these findings reveal that mitochondrial lactylation is a context-dependent regulator of mitochondrial metabolism and redox balance following MI. Rather than acting solely as a pathological modification, lactylation integrates lactate availability with mitochondrial function to influence inflammatory and fibrotic remodeling, highlighting mitochondrial metabolic plasticity as a potential therapeutic target in ischemic heart disease. HighlightsO_LIMyocardial infarction (MI) increases mitochondrial protein lactylation, with 361 identified lactylated proteins. C_LIO_LIAZD3965-mediated MCT1 inhibition further elevates mitochondrial lactylation. C_LIO_LIDistinct alterations in mitochondrial proteins and pathways (TCA cycle, amino acid metabolism, gene expression) were observed. C_LIO_LIAZD3965 reduces cardiac fibrosis and inflammation and partly improves mitochondrial respiration post-MI, but cardiac function remains impaired. C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/718938v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@b5a7b3org.highwire.dtl.DTLVardef@14ea92org.highwire.dtl.DTLVardef@1343a29org.highwire.dtl.DTLVardef@1d67716_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG

cell biology↗

Single-molecule spatial genomics reveals the multi-scale organization and plasticity of extrachromosomal DNA in glioblastoma

Extrachromosomal DNA (ecDNA) is a major driver of intratumoral heterogeneity and is associated with poor clinical outcomes across cancers, yet how individual ecDNA molecules are organized and regulated within intact tumors remains unknown. Here, we leveraged single-molecule, multi-modal spatial genomics to resolve the three-dimensional chromatin organization and transcriptional activity of individual EGFR-containing ecDNA molecules in glioblastoma (GBM) cells in vitro, in orthotopic xenografts, and in patient-derived GBM tissue. At the larger scale, we find that distinct GBM molecular and functional states emerge depending on the local cellular environment. EGFR expression was markedly different between GBM subpopulations, and perturbations of EGFR dosage shifted GBM cellular states. ecDNA expression was modulated by multiple mechanisms, including variation in copy number, chromatin organization, DNA sequence, and chromosomal reintegration, which were simultaneously measured within the same cells. At the single-molecule scale, ecDNA adopts a physically expanded chromatin configuration with larger ecDNA molecules having higher transcriptional activity and interaction with active transcriptional machinery. ecDNA regulation was coordinated within cells and across GBM states, and ecDNA copy number, structure, and transcription were spatially organized across the tumor architecture. Co-culturing GBM cells with neurons recapitulated key features of infiltrative regions, including lower EGFR expression, reduced ecDNA copy number, and increased chromosomal reintegration, suggesting a causal role for the microenvironment in shaping ecDNA regulation. Collectively, these findings support a model in which GBM states and ecDNA are linked, plastic, and influenced by microenvironmental contexts, revealing a previously inaccessible layer of genome organization underlying tumor heterogeneity and malignant cell behavior.

genomics↗

Multiscale characterisation of the human claustrum from histology to MRI

Though linked to an unusually broad array of functions, the human claustrums complex morphology has hindered in vivo study, resulting in a small MRI literature marked by implausibly large discrepancies in reported characteristics. We constructed the first three-dimensional histological "gold standard" claustrum model, and systematically evaluated in vivo 7-Tesla MRI datasets against it and downsampled derivatives. MRI showed resolution-dependent differences rather than contrast limitations, transforming the claustrums intricate sheet into an artefactually thickened ribbon. However, submillimetre MRI reliably recovered the dorsal "core" that contains most claustral volume and density and houses major corticoclaustral connectivity. At 0.5mm resolution, extension into the temporal lobe, including irregular ventral "puddles", was partially recovered, with uncertainty reflecting boundary imprecision rather than anatomical loss. Our results refute the view that the claustrum is inaccessible in the living human brain, define practical measurement limits, and provide a foundation for future functional investigations.

neuroscience↗

Evaluating the quality of brainstem ROI registration using structural and diffusion MRI

Accurate registration of regions of interest (ROIs) from standard atlases to participants native spaces is a critical step in fMRI studies, as it directly affects the reliability of sampled BOLD signals. While T1-weighted (T1w) image-based ROI registration is well validated and widely adopted in cortical fMRI, its performance degrades in brainstem studies due to the small size, dense packing, and poor visibility of brainstem nuclei on T1w contrast. We hypothesized that incorporating diffusion MR images, containing more information about internal brainstem architecture, should improve ROI registration accuracy. To test this, we developed four registration pipelines that either included or excluded diffusion-based alignment components and evaluated their performance using data from n=20 healthy participants. Registration accuracy was assessed using Dice coefficient for the red nucleus (RN) and the substantia nigra (SN), and mis-registration fraction--a metric developed for nuclei that cannot be manually delineated--for the dorsal raphe nucleus (DRN). The results showed that diffusion-based pipelines, using fractional anisotropy (FA) images, non-diffusion-weighted (b0) images, and multivariate combination, outperformed the T1w-only baseline. Probabilistic maps derived from inverse-transformed native ROIs further supported improved sensitivity to inter-individual anatomical variability in the diffusion-augmented pipelines. In addition, analysis of gradient magnitude maps from the Jacobian determinants revealed associations between localized deformation and image modality-specific landmarks. These findings demonstrate the potential of diffusion-augmented pipelines for improving brainstem ROI registration, which could enhance the robustness of fMRI studies on brainstem disorders characterized by functional dysregulation.

neuroscience↗

Blood volume sensitive laminar fMRI with VASO in human hippocampus: Capabilities and biophysical challenges at clinical 7T scanners

Sub-millimeter resolution functional magnetic resonance imaging (fMRI) at ultra-high field ([≥] 7T) has offered an unprecedented opportunity to probe mesoscopic computations at a columnar or laminar level. However, its application has been primarily restricted to the neocortex. Inferior brain regions, particularly the hippocampus (HC), are challenging targets for laminar fMRI. Recent developments in acquisition methods have shown the feasibility of laminar recordings in the HC using gradient-echo blood oxygenation level-dependent (BOLD) contrast. Nonetheless, the spatial specificity of the BOLD signal is compromised by the draining veins bias. Cerebral blood volume (CBV)-sensitive sequences including vascular space occupancy (VASO) have emerged as a promising augmentation tool to capture the vein-free laminar activity. Yet, its feasibility in the HC is unclear and challenged by methodological constraints. Here, we optimized VASO to mitigate the macrovasculature contribution in HC. By evaluating a series of advanced acquisition strategies tailored to HC, we obtained improved VASO signal quality with minimal artifacts. The optimized protocol was further validated with an autobiographical memory task. Our findings show that combining the high detection power of gradient-echo BOLD with the vein-free VASO contrast allows for differentiation between neural activity-related BOLD signals and those biased by draining veins. These results demonstrate the feasibility of submillimeter VASO acquired with conventional 7T scanners in the HC to map the circuit-level mechanisms of memory retrieval across HC subfields, laying a foundation to investigate the microcircuitry of HC-driven complex cognitive functions and their alterations in neurodegeneration.

neuroscience↗

Dissolved inorganic carbon supports robust anabolism and methanogenesis in actively serpentinizing rocks

Serpentinites, hydrated ultramafic rocks that produce [hyper]alkaline, reducing, H2-rich groundwaters, host subsurface microbial ecosystems. Though in the presence of enormous reducing power, life in serpentinizing systems is limited by oxidant and carbon availability. The forms of carbon that support the serpentinite-hosted microbiome, and their rates of biological assimilation, remain poorly understood. In this work, we quantify the habitability of subsurface environments shaped by serpentinization and examine the forms of carbon that support their microbial constituents, focusing specifically on dissolved inorganic carbon, acetate, and formate. We access reacted groundwater from Earths largest terrestrial serpentinizing body and measure carbon assimilation at the single-cell level. Across all conditions, we consistently observe robust assimilation of dissolved inorganic carbon into microbial biomass. Notably, we find that dissolved inorganic carbon supports the majority of methanogenic activity in the system, even at hyperalkaline conditions (pH > 11). Inferred bioenergetic fluxes suggest that rates of biological hydrogen-consumption and methanogenesis are relevant at the landscape scale. We identify a strong potential for the microbiome to be stimulated by increases in H2 and CO2, a finding with implications for the search for life on other planetary bodies and for the growing deployment of fluid injection technologies in ultramafic rocks, such as geological hydrogen production or carbon mineralization. Significance StatementWhen iron-rich rocks interact with water, they undergo a "serpentinization" reaction that results in the production of H2 and [hyper]alkaline fluids. This abiotic process does not operate alone but rather supports and interacts with microbial life. However, it remains unknown to what extent the stressors of subsurface life under [hyper]alkaline conditions may limit microbial activity. In this work, we quantify the rates at which microorganisms transform different carbon sources across a range of serpentinizing conditions. We find that serpentinizing rocks host a remarkably robust microbiome, a finding that motivates the targeting of serpentinizing systems for life detection efforts in our solar system, as well as further analysis of efforts to leverage serpentinites for industrial-scale geological H2 and carbon drawdown projects.

microbiology↗

CryoEM structure of the central apparatus of the Trypanosoma brucei flagellum

Axonemes are cylindrical bundles of microtubule filaments that typically follow a 9+n pattern (where n ranges from 0 to 4). However, variations exist across species and cell types, including architectures with fewer (e.g., 3+0, 6+0) or more than nine doublet microtubules (e.g., 9+9+0, 9+9+3), reflecting diverse structural adaptations of cilia and flagella in eukaryotes. Trypanosoma brucei, the causative agent of African trypanosomiasis, relies on its single 9+2 flagellum to navigate through environments within the mammalian host and insect vector. Central to the T. brucei flagellums function is a canonical central apparatus (CA), composed of two--C1 and C2-- singlet microtubules, which regulates flagellar beating and ensures efficient movement. Despite its crucial mechanoregulatory role in flagellar beating, the molecular structure and interactions governing T. brucei CA assembly and function remain poorly understood. In this study, we employed cryogenic electron microscopy (cryoEM) to uncover structural details of the T. brucei CA. We identified conserved and stably C1/C2-associated protein densities, including the armadillo repeat protein PF16, which serves as a structural scaffold critical for CA assembly and axonemal asymmetry. Our analysis also revealed pronounced molecular flexibility of the CA and uncovered T. brucei-specific densities, suggesting lineage-specific adaptations for parasite motility. These findings provide critical insights into the structural foundations of T. brucei motility. They also highlight potential therapeutic targets to disrupt the parasites ability to cause disease, offering new avenues for the treatment of African trypanosomiasis. Comparison of CAs in this canonical 9+2 axoneme and non-canonical 9+n axonemes offers general insights into the assembly and diverse functions of CAs across a wide range of species. SignificanceThe flagellum of Trypanosoma brucei, the parasite causing African trypanosomiasis, drives motility essential for host infection and disease transmission. Our cryogenic electron microscopy study reveals the molecular architecture of its central apparatus, identifying PF16 as a key scaffold that stabilizes axonemal asymmetry and imparts flexibility critical for flagellar beating. We uncover conserved proteins and T. brucei- specific adaptations, highlighting evolutionary divergence underlying the parasites distinctive motility. These structural results offer insights about how the central apparatus regulates T. bruceis bihelical motion and unveil potential therapeutic targets to disrupt flagellar function and combat African trypanosomiasis. Comparison among the central apparatus of canonical and non-canonical axonemes allow us to suggest broader principles underlying their central roles in ciliary functions across eukaryotes.

microbiology↗

Structure of a new capsid form and comparison with A-, B- and C-capsids clarify herpesvirus assembly and DNA translocation

Three capsid types have been recognized from the nuclei of herpesvirus-infected cells: empty A-capsids, scaffolding-containing B-capsids, and DNA-filled C-capsids. Despite progress in determining atomic structures of these capsids and extracellular virions in recent years, debate persists concerning the origins and temporal relationships among these capsids during capsid assembly and genome packaging. Here, we have imaged over 300,000 capsids of herpes simplex virus type 1 by cryogenic electron microscopy (cryoEM) and exhaustively classified them to characterize the structural heterogeneity of the DNA-translocating portal complex and their functional states. The resultant atomic structures reveal not only the expected A-, B-, and C-capsids, but also capsids with portal vertices similar to C-capsids but no resolvable genome in the capsid lumen, which we named D-capsids. The dodecameric dsDNA-translocating portal complex varies across these capsid types in their radial positions in icosahedral capsids and exhibits structural dynamics within each capsid type. In D-capsids, terminal DNA density exists in multiple conformations including one reminiscent to that in C-capsids, suggesting D-capsids are products of failed DNA retention. This interpretation is supported by varying amounts of DNA outside individual D-capsids and by correlation of capsid counts observed in situ of infected cell nuclei and those after purification. Additionally, an "anchoring" segment of the scaffold protein is resolved interacting with the portal baskets of A- and B-capsids but not D- and C-capsids. Taken together, our data indicate that A-capsids arise from failed DNA packaging and D-capsids from failed genome retention, clarifying the origins of empty capsids in herpesvirus assembly. SignificanceAs the prototypical herpesvirus, herpes simplex virus 1 (HSV-1) exhibits a global seroprevalence of 67% and approaching 90% in some localities. Herpesvirus infections can cause devastating cancers and birth defects, with HSV-1 infections leading to cold sores among the general population worldwide and blindness in developing nations. Here, we present atomic structures of the capsids sorted out from the nuclear isolates of HSV-1 infected cells, including the previously recognized A-, B-, and C-capsids, as well as the newly identified D-capsid. The structures show the details of protein-protein and protein-DNA interactions within each capsid type and the positional and interactional variability of the viral DNA-translocating portal vertex among these capsids. Importantly, our findings suggest that A-capsids are products of failed dsDNA packaging and D-capsids of failed genome retention. Together, the high-resolution 3D structures clarify the processes of genome packaging, maintenance, and ejection during capsid assembly, which are conserved across all herpesviruses.

microbiology↗

Demonstration and structural basis of a therapeutic DNA aptamer for SARS-CoV-2 spike protein detection

At the onset of the COVID-19 pandemic, the absence of a rapid and highly specific diagnostic method for the SARS-CoV-2 virus led to significant delays in detection, adversely affecting clinical outcomes. This shortfall highlights the urgent need for adaptable, scalable, and reusable diagnostic technologies to improve future pandemic responses. To address this challenge, we developed a renewable electrochemical impedance biosensor device employing a synthetic nucleotide-based therapeutic aptamer (termed aptasensor) targeting the SARS-CoV-2 spike (S) protein receptor-binding domain (RBD). We demonstrate that our aptasensor can detect the Omicron BA.2 S protein within one hour and possesses concentration-dependent sensitivity at biologically relevant levels. Notably, the aptasensor is reusable after regeneration by a simple pH 2 buffer treatment. Aptamer binding to the S protein was confirmed by immunogold labeling and visualization by negative-stain electron microscopy. We used cryogenic electron microscopy (cryo-EM) to resolve high-resolution maps of the S protein in both the open and closed conformations and characterized aptamer binding to the up RBD in the open conformation. Taken together, these results establish the versatility and scalability of aptamer-based biosensors, presenting them as a potential transformative diagnostic platform for emerging pathogens. This combination of rapid detection, specificity, and renewable capabilities in a single diagnostic solution marks a significant advance in pandemic preparedness.

bioengineering↗

Characterizing BOLD activation patterns in the human hippocampus with laminar fMRI

The human hippocampus has been extensively studied at the macroscale using functional magnetic resonance imaging (fMRI) but the underlying microcircuits at the mesoscale (i.e., at the level of layers) are largely uninvestigated in humans. We target two questions fundamental to hippocampal laminar fMRI: How does the venous bias affect the interpretation of hippocampal laminar responses? And can we establish a benchmark laminar fMRI experiment which robustly elicits single-subject hippocampal activation utilizing the most widely applied GRE-BOLD contrast? We comprehensively characterized GRE-BOLD responses as well as T2*, tSNR and physiological noise as a function of cortical depth in individual subfields of the human hippocampus. Our results show that the vascular architecture differs between subfields leading to subfield-specific laminar biases of GRE-BOLD responses. Using an autobiographical memory paradigm, we robustly acquired depth-specific BOLD responses in hippocampal subfields. In the CA1 subregion, our results indicate a more pronounced trisynaptic path input rather than dominant direct inputs from entorhinal cortex during autobiographical memory retrival. Our study provides unique insights into the hippocampus at the mesoscale level, and will help interpreting hippocampal laminar fMRI responses and allow researchers to test mechanistic hypotheses of hippocampal function.

neuroscience↗

Laminar CBV and BOLD response-characteristics over time and space in the human primary somatosensory cortex at 7T

Uncovering the cortical representation of the body has been at the core of human brain mapping for decades, with special attention given to the digits. In the last decade, advances in functional magnetic resonance imaging (fMRI) technologies have opened the possibility of noninvasively unraveling the 3rd dimension of digit representations in humans along cortical layers. In laminar fMRI it is common to combine the use of the highly sensitive blood oxygen level dependent (BOLD) contrast with cerebral blood volume sensitive measurements, like vascular space occupancy (VASO), that are more specific to the underlying neuronal populations. However, the spatial and temporal VASO response characteristics across cortical depth to passive stimulation of the digits are still unknown. Therefore, we characterized haemodynamic responses to vibrotactile stimulation of individual digit-tips across cortical depth at 0.75 mm in-plane spatial resolution using BOLD and VASO fMRI at 7T. We could identify digit-specific regions of interest (ROIs) in putative Brodmann area 3b, following the known anatomical organization. In the ROIs, the BOLD response increased towards the cortical surface due to the draining vein effect, while the VASO response was more shifted towards middle cortical layers, likely reflecting bottom-up input from the thalamus, as expected. Interestingly, we also found slightly negative BOLD and VASO responses for non-preferred digits in the ROIs, potentially indicating neuronal surround inhibition. Finally, we explored the temporal signal dynamics for BOLD and VASO as a function of distance from activation peaks resulting from stimulation of contralateral digits. With this analysis, we showed a triphasic response consisting of an initial peak and a subsequent negative deflection during stimulation, followed by a positive post-stimulus response in BOLD and to some extent in VASO. While similar responses were reported with invasive methods in animal models, here we demonstrate a potential neuronal excitation-inhibition mechanism in a center-surround architecture across layers in the human somatosensory cortex. Given that, unlike in animals, human experiments do not rely on anesthesia and can readily implement extensive behavioral testing, obtaining this effect in humans is an important step towards further uncovering the functional significance of the different aspects of the triphasic response.

neuroscience↗

Native Doublet Microtubules from Trichomonas vaginalis Reveal Parasite-Specific Proteins as Potential Drug Targets

Doublet microtubules (DMTs) are flagellar components required for the protist Trichomonas vaginalis (Tv) to swim through the human genitourinary tract to cause trichomoniasis, the most common non-viral sexually transmitted disease. Lack of DMT structures has prevented structure-guided drug design to manage Tv infection. Here, we determined the cryo-EM structure of native Tv-DMTs, identifying 29 unique proteins, including 18 microtubule inner proteins and 9 microtubule outer proteins. While the A-tubule is simplistic compared to DMTs of other organisms, the B-tubule features specialized, parasite-specific proteins, like TvFAP40 and TvFAP35 that form filaments near the inner and outer junctions, respectively, to stabilize DMTs and enable Tv locomotion. Notably, a small molecule, assigned as IP6, is coordinated within a pocket of TvFAP40 and has characteristics of a drug molecule. This first atomic model of the Tv-DMT highlights the diversity of eukaryotic motility machinery and provides a structural framework to inform the rational design of therapeutics.

microbiology↗

A metabolic atlas of mouse aging

Humans are living longer, but this is accompanied by an increased incidence of age-related chronic diseases. Many of these diseases are influenced by age-associated metabolic dysregulation, but how metabolism changes in multiple organs during aging in males and females is not known. Answering this could reveal new mechanisms of aging and age-targeted therapeutics. In this study, we describe how metabolism changes in 12 organs in male and female mice at 5 different ages. Organs show distinct patterns of metabolic aging that are affected by sex differently. Hydroxyproline shows the most consistent change across the dataset, decreasing with age in 11 out of 12 organs investigated. We also developed a metabolic aging clock that predicts biological age and identified alpha-ketoglutarate, previously shown to extend lifespan in mice, as a key predictor of age. Our results reveal fundamental insights into the aging process and identify new therapeutic targets to maintain organ health.

molecular biology↗

Quantitative measurement of microbial growth rate with Raman microspectroscopy

Rates of microbial activity and growth are fundamental to understanding environmental geochemistry and ecology. However, measuring the heterogeneity of microbial activity at the single-cell level, especially within complex populations and environmental matrices, remains a forefront challenge. Stable Isotope Probing (SIP) is a standard method for assessing microbial activity and involves measuring the incorporation of an isotopically labeled compound into microbial biomass. Here, we assess the utility of Raman microspectroscopy as a SIP technique, specifically focusing on the measurement of deuterium (2H), a tracer of microbial biomass production. We generate calibrations of microbial biomass 2H values and find that Raman microspectroscopy reliably quantifies 2H incorporation ranging between 0 and 40 at. %. Applying the results of this calibration to a SIP model, we explicitly parameterize the factors controlling microbial growth quantification, demonstrating how Raman-SIP can measure the growth of microorganisms with doubling times ranging from hours to years. Furthermore, we correlatively compare our Raman-derived measurements with those of nanoscale secondary ion mass spectrometry (nanoSIMS) to compare the relative strengths of nanoSIMS- and Raman-based SIP approaches. We find that Raman microspectroscopy is a robust, accessible methodology that can readily differentiate and quantify the growth of individual microbial cells in complex samples. ImportanceGrowth rate, the rate at which organisms grow and reproduce, is a key metric with which to evaluate microbial physiology and contributions to system-level processes. The heterogeneity of microbial growth across space, time, and populations is often difficult to capture with bulk-scale techniques. Single-cell methods hold promise for measuring the heterogeneity of microbial growth rates and responses to changing conditions in situ, without the need for cultivation of microbial isolates. In this study, we evaluated the ability of Raman microspectroscopy, a non-destructive and rapid technique, to measure the assimilation of isotopically labeled water into individual microbial cells and thereby calculate their rates of growth. We explicitly parameterize the factors controlling the quantification of microbial growth rate and compare this technique to standard methods. The framework we report allows researchers to couple single-cell and aggregate rate measurements to functional or system-level properties, a forefront challenge in microbiology.

microbiology↗

Non-Invasive Perfusion Imaging of the Human Brain via Breath-Holding: A DSC MRI Study

Dynamic susceptibility contrast (DSC) MRI plays a pivotal role in the accurate diagnosis and prognosis of several neurovascular diseases, but is limited by its reliance on gadolinium, an intravascularly injected chelated metal. Here, we determined the feasibility of measuring perfusion using a DSC analysis of breath-hold-induced gradient-echo-MRI signal changes. We acquired data at both 3T and 7T from ten healthy participants who engaged in eight consecutive breath-holds. By pairing a novel arterial input function strategy with a standard DSC MRI analysis, we measured the cerebral blood volume, flow, and transit delay, and found values to agree with those documented in the literature using gadolinium. We also observed voxel-wise agreement between breath-hold and arterial spin labeling measures of cerebral blood flow. Breath-holding resulted in significantly higher contrast-to-noise (6.2 at 3T vs 8.5 at 7T) and gray matter-to-white matter contrast at higher field strength. Finally, using a simulation framework to assess the effect of dynamic vasodilation on perfusion estimation, we found global perfusion underestimation of 20-40%. For the first time, we have assessed the feasibility of and limitations associated with using breath-holds for perfusion estimation with DSC. We hope that the methods and results presented in this study will help pave the way toward contrast-free perfusion imaging, in both basic and clinical research.

biophysics↗

Feasibility of high-resolution perfusion imaging using Arterial Spin Labelling MRI at 3 Tesla

Cerebral blood flow (CBF) is a critical physiological parameter of brain health and it can be non-invasively measured with arterial spin labelling (ASL) MRI. In this study, we evaluated and optimised whole-brain, high-resolution ASL as an alternative to the low-resolution ASL employed in the routine assessment of CBF in both healthy participants and patients. Two high-resolution protocols (i.e., pCASL and FAIR-Q2TIPS (PASL) with 2 mm isotropic voxels) were compared to a default clinical pCASL protocol (3.4 x 3.4 x 4 mm3), all of whom had an acquistion time of {approx} 5 min. We assessed the impact of high-resolution acquisition on reducing partial voluming and improving sensitivity to the perfusion signal, and evaluated the effectiveness of z-deblurring on the ASL data. We compared the quality of whole-brain ASL acquired using three available head coils with differing number of receive channels (i.e., 20, 32 and 64 ch). We found using higher coil counts (32 and 64 ch coils as compared to 20 ch) offer improved SNR and improved acceleration capabilities that are beneficial for ASL imaging at 3T. The inherent reduction in partial voluming effects with higher resolution acquisitions improves the resolving power of perfusion without impacting sensitivity. In conclusion, our results suggest that high-resolution ASL (2 - 2.5 mm isotropic) has the potential to become a new standard for perfusion imaging at 3 T and increase its adoption into clinical research and cognitive neuroscience applications.

neuroscience↗