Biology subjects

Swain, A.

Publications and source records attributed to Swain, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Microbial Ecosystems Reveal a Universal Signature of Ecological Assembly

Microbial communities obey universal macroecological scaling laws, but which sub-processes generate them remains debated across competing theoretical frameworks. Here we calibrate a modified Yule-Simon model to metagenomic data from 11 distinct microbial environments, revealing that microbial ecosystems occupy a qualitatively distinct region of a two-parameter mechanistic space, characterized by near-neutral recruitment (i.e., linear preferential attachment) and broad diversification strategies, unlike any previously studied complex system, including prokaryotic proteomes and urban economies. This distinctive position, confirmed analytically and validated against sparse-data robustness tests, provides both a mechanistic explanation for observed self-similarities in microbial rank-frequency distributions and a quantitative signature of ecological assembly.

ecology↗

bioRxiv2026

Contrast-induced changes in chemical exchange saturation transfer MRI differentiate tumor progression from pseudoprogression

Tumor pseudo-progression (PsP) refers to an initial increase in tumor size or the appearance of new lesions. These pseudo-progressive lesions are predominantly composed of infiltrative inflammatory cells, such as macrophages. This phenomenon commonly occurs in patients undergoing radiation therapy or immunotherapy and typically indicates a positive treatment response. However, it often leads to premature treatment cessation due to misinterpretation as disease progression. Non-invasive imaging biomarkers capable of distinguishing pseudo-progression from true progression would greatly aid in treatment decision-making. In our preliminary study, we explored the potential of gadoterate meglumine (Gd-DOTA, a macrocyclic Gd-contrast) in combination with amine chemical-exchange saturation transfer (amine-CEST) imaging to differentiate tumor from radiation necrosis by assessing Gd-DOTA uptake by infiltrating immune cells, such as macrophages. To evaluate whether amine-CEST, in combination with Gd-DOTA, can differentiate macrophages from cancer cells, we incubated them with Gd-DOTA for 30 minutes. Subsequently, the cells were processed, and amine-CEST imaging was performed on a 9.4 Tesla preclinical scanner. Upon treatment with Gd-DOTA, we did not observe a significant change in amine-CEST contrast in F98 cells compared with untreated cells, whereas treated macrophages exhibited a marked decrease ([~]40%) in amine-CEST signal compared with untreated macrophages. This reduction in signal was attributed to the uptake of Gd-DOTA by macrophages, which notably shortened water T1 relaxation, thereby quenching the amine-CEST signal. Conversely, cancer cells showed no appreciable change in the amine-CEST signal, indicating no Gd-DOTA uptake. Furthermore, to validate that T1 shortening influences amine-CEST signal, cancer cells were also treated with manganese chloride (MnCl2) for 30 minutes. The uptake of MnCl2 by cancer cells similarly induced T1 shortening, as observed in macrophages, resulting in a decrease in the amine-CEST signal from these cells. Next, we performed the amin-CEST imaging on F98 tumor-bearing rats and radiation necrotic rats. Post-injection with Gd-DOTA showed no appreciable change in the amine-CEST contrast in the tumor-bearing rat, whereas a significant decrease in contrast was observed in the radiation necrotic rat. This further demonstrates that no change in the amine-CEST contrast in tumor-bearing rats is due to cancer cells failing to take up Gd-DOTA. The decrease in amine-CEST contrast in radiation-treated rats reflects the uptake of Gd-DOTA by macrophages infiltrating the radiation-necrotic regions. This straightforward imaging approach holds promise for clinical translation. It offers a novel method for characterizing pseudo-progressive lesions and monitoring diverse treatment responses in cancer patients using standard clinical scanners.

cancer biology↗

bioRxiv2026

Unsupervised anomaly detection for tumor delineation in a preclinical model of glioblastoma using CEST MRI

IntroductionGlioblastoma is characterized by heterogeneous tumor characteristics and infiltrative tumor boundaries, making accurate delineation difficult with extensive manual annotations. Chemical exchange saturation transfer (CEST) is a non-invasive MRI technique used for in vivo assessment of metabolic and macromolecular information through a Z-spectrum. CEST may provide insight into metabolic changes present in early-stage disease that are not visible in routine clinical imaging, thereby improving tumor delineation. In this work, we use an unsupervised anomaly detection (UAD) strategy to learn the distribution of features present in Z-spectra of healthy tissue and capture their deviations in pathology, foregoing the need for extensive labels. The approach leverages the metabolic information provided by CEST to improve the detection and delineation of glioblastoma and inform further treatment planning. MethodsA 1D convolutional autoencoder (CAE) was implemented to reconstruct Z-spectra from individual tissue voxels. The network was trained on Z-spectra acquired at 9.4T from healthy Sprague-Dawley rats and tested on data acquired from F98 glioma-bearing rats post Gd-administration. For baseline comparisons, Isolation Forest and Local Outlier Factor, which have shown success in anomaly detection, were implemented. For the CAE, our anomaly score was determined to be the mean squared reconstruction error. To facilitate clinical translation and evaluate the robustness of our model for under sampled Z-spectra, acceleration factors of 2x and 7x were performed with two sampling schemes: uniformly skipping frequency offsets and selecting offsets based on feature importance identified by Shapley value analysis and Integrated Gradients (IG). Binarization was performed by determining an optimal anomaly threshold, followed by comparison to ground truth tumor masks. Metrics related to model performance were assessed for baseline anomaly detectors on the fully sampled dataset and for the CAE on fully and under sampled datasets. ResultsThe best baseline anomaly detector was Isolation Forest, with an ROC-AUC of 0.967 and an F1-score of 0.584. Our method, the CAE, accurately reconstructed Z-spectral features, achieving Dice scores of up to 0.72 and outperforming the baseline model with an ROC-AUC of 0.968 and F1-score of 0.642. This model performance remained robust across sampling schemes and acceleration factors, with ROC-AUCs of [~]0.96 and similar Dice scores (up to 0.7). Feature importance analysis indicated that offsets in the range of {+/-}3.0 to 5.0ppm contributed most to the anomaly score. DiscussionThis study successfully demonstrated a UAD pipeline utilizing the Z-spectrum from CEST MRI for metabolically informed tumor delineation. The framework captures biochemical deviations that may precede or extend beyond morphologic abnormalities, enabling sensitive detection of tumor regions and intra-tumoral heterogeneity that previous methods may fail to capture. The offsets from the feature analysis indicated a strong contribution from the magnetization transfer (MT) pool to the spectral deviations captured by the model, with additional contributions from relayed nuclear Overhauser effect (rNOE) and amide proton transfer (APT). Model robustness with under sampling further highlights the pipelines potential in accelerated acquisitions, thus improving clinical practicality. While there is a need for validation on larger cohorts and clinical datasets, the current results demonstrate that this label-free, Z-spectral anomaly mapping can serve as an interpretable and scalable tool for monitoring tumor heterogeneity and progression, with potential applicability to other diffuse or metabolically subtle pathologies.

cancer biology↗

bioRxiv2026

Latitudinal dependence of stability trends in marine plankton in the Cenozoic

The temporal stability and spatial heterogeneity of global marine ecosystems under changing climates reveal how biodiversity persists or collapses. However, the deep-time evolution of these phenomena remains poorly understood. We reconstructed the stability landscape of pelagic plankton from the Cretaceous-Paleogene extinction to the present. We find that the Cenozoic was a period of punctuated volatility with high turnover post-extinction and during the Late Neogene cooling. Spatially resolved analysis revealed latitude-dependent trends: equatorial regions stabilized over time, whereas polar communities, especially in the Southern Ocean, destabilized. Equatorial regions homogenized from initially high heterogeneity, whereas polar communities showed the opposite pattern, including a latitudinal seesaw of spatial heterogeneity over the past 30 million years. These findings illuminate temporal stability and spatial heterogeneity dynamics across geologic timescales.

paleontology↗

bioRxiv2025

Phylogeny, ecology, and allometry: hierarchical controls of insect elemental composition

Elemental composition links organismal physiology to biogeochemical cycles, yet the relative importance of evolutionary and ecological drivers remains unresolved for insects. Integrating a global stoichiometric database with a comprehensive phylogenetic backbone, we demonstrate hierarchical control of insect stoichiometry, with phylogeny accounting for [~]50% of variation in C:N:P ratios, followed by temperature, body mass, trophic group and habitat. We also identify nutrient enrichment in terrestrial lineages relative to aquatic ones. Our work offers a general framework for partitioning evolutionary, ecological, and physiological influences on organismal stoichiometry, highlighting new avenues to link macroevolutionary patterns to underlying processes.

ecology↗

bioRxiv2025

Sociality and nesting strategy shape the bimodal diversity gradient in bees

Bees are dominant pollinators across native and agricultural plant communities, yet the drivers of their patterns of geographic distribution and functional diversity remain poorly understood. Notably, bees exhibit a bimodal latitudinal diversity gradient, peaking in species diversity in temperate and arid regions rather than the tropics despite their close ecological and evolutionary ties to flowering plants, which show the opposite pattern. Here, we investigated whether two key life history traits thought to shape where bees can live--sociality and nesting strategy--may influence this pattern. We compiled data on sociality and nesting strategy for 4,293 bee species and combined it with a comprehensive phylogeny, curated global occurrence records, and newly-developed models of trait evolution to test 1) whether sociality and nesting biology are evolutionarily correlated, 2) how these life history traits shape bees climatic niches and niche breadths, and 3) whether the evolutionary dynamics of these traits may explain the bimodal latitudinal gradient in bee diversity. We find that the evolution of above-ground nesting is closely tied to the evolution of social behavior, but this trait combination has evolved rarely across the evolutionary history of bees. Where this combination does arise, species that are both social and above-ground nesters tend to have narrower climatic niches and are associated with environments that are warmer, wetter, and experience little seasonal temperature variation, making them more prevalent in tropical bee communities. Together, our results indicate that the bimodal diversity gradient in bees is driven by phylogenetic niche conservatism, where most bee lineages retain ancestral traits suited to arid environments and the derived syndrome necessary for thriving in the tropics evolves rarely.

evolutionary biology↗

bioRxiv2025

Multimodal MR Imaging for quantification of brain lipid in mice at 9.4T

BackgroundAdvanced MR imaging techniques like steady state Nuclear Overhauser enhancement (ssNOE), transient NOE (tNOE), and myelin water fraction (MWF) provide a non-invasive way to assess the biochemical and structural integrity of brain tissue. Their sensitivity to endogenous lipids and macromolecules allows for the early detection of neuropathological changes, making them valuable tools in studying brain health and disease progression. In this study, we systematically evaluate the repeatability and sensitivity of NOEMTR, tNOE, and MWF for quantifying lipid and myelin content in the brains of wild-type (WT) mice, correlating the results with immunohistochemistry (IHC). MethodsFive 6-month-old C57BL6/J mice were imaged using 3D-NOE, and four mice underwent imaging with 2D tNOE and MWF across four repeated sessions using a 9.4T Scanner. For ssNOE imaging, CEST-weighted images at 56 frequency offsets were acquired using B1rms of 1.0 T and 3s saturation duration. For tNOE, 52 offsets were acquired with a hyperbolic secant inversion pulse (bandwidth = 400Hz, duration = 44ms) and a mixing time of 200ms. For MWF, a multi-echo spin-echo (MESE) sequence was acquired with 40 evenly spaced echoes from 5.5ms to 200ms. For both ssNOE and tNOE, B0 correction was performed using WASSR. Repeatability was quantified using intra- and inter-subject coefficients of variation (COV%). Pearson correlation was performed to see the association between imaging matrices and IHC measures, Luxol fast blue (LFB) stained sections, and myelin basic protein (MBP). ResultsAll techniques demonstrated high repeatability across the whole brain (WB) and selected regions of interest (ROIs). Whole-brain intra-subject COV% for NOEMTR ranged from 1.92% to 3.40%, with corresponding inter-subject COVs of 1.50%. tNOE exhibited improved intra-subject repeatability with COVs ranging from 0.75% to 5.57%, but a reduced inter-subject COV of 2.97%. MWF imaging showed the highest stability overall, with an intra-subject COV ranging from 0.47% to 2.03% and an inter-subject COV of 0.75%. Visually, tNOE offers superior contrast in myelin-rich areas compared to NOEMTR and MWF imaging, showing greater sensitivity to myelinated regions. tNOE strongly correlates with histological markers: r = 0.83 with MBP staining and r = 0.72 with LFB staining (both p < 0.001). MWF and NOEMTR showed correlations with MBP (r = 0.63 and r = 0.57, respectively). ConclusionNOEMTR, tNOE, and MWF imaging are reliable and repeatable methods for quantifying macromolecules in the brain. Among these, tNOE emerges as the most sensitive for detecting myelin lipids as confirmed by histological validation. These findings highlight the translational potential of tNOE for studying demyelinating disorders and neurodegenerative diseases.

neuroscience↗

bioRxiv2025

Birds that don't exist: niche pre-emption as a constraint on morphological evolution in the Passeroidea

Understanding why some viable body forms never evolve can reveal how ecological and evolutionary forces shape biodiversity. We investigate this question in the Passeroidea, a large group of songbirds, by analyzing their morphological trait space using topological data analysis and ancestral state reconstruction. We identify a long-standing morphological gap densely surrounded by extant species but unoccupied throughout passeroid diversification. The gap patterns deviate from neutral expectations and show no evidence of past occupation, rendering neutral evolution and extinction unlikely. Similar morphologies exist in other bird lineages, ruling out intrinsic constraints or niche absence. Geographic distributions and traits of passeroids versus non-passeroid gap occupants point to competitive exclusion as the plausible explanation: early-colonizing territorial specialists outside the Passeroidea may have preemptively occupied key habitats, limiting evolutionary opportunities for later-arriving lineages. We demonstrate how historical contingency can shape macroevolutionary outcomes, and introduce a generalizable framework for investigating structural gaps in trait evolution.

ecology↗

bioRxiv2025

Magnetic Resonance Imaging for Improved Brain Tumor Detection

Precise demarcation of brain tumor boundaries is critical for optimizing treatment strategies and improving patient outcomes. In vivo characterization of tumor using PET/CT and MRI is clinical standard. PET/CT highlights the metabolic aspects of the tumor, while MRI provides information on functional, metabolic and structural changes. Even with technological advancements in both PET/CT and MRI, a method that can precisely delineate infiltrative tumor boundaries from normal-appearing brain regions (NABR) in vivo is still lacking. To address this limitation, we explored a relatively new MR imaging method, the Nuclear Overhauser Effect Magnetization Transfer Ratio (NOEMTR), in conjunction with a gadolinium-based contrast agent (Gd-DOTA), to precisely delineate the tumor boundaries in a rat model of infiltrative gliosarcoma. NOEMTR imaging was performed in the rat model (n=5) before and after Gd-DOTA administration. The post-Gd-DOTA NOEMTR map was subtracted from the pre-Gd-DOTA map and compared with contrast-enhanced T1-weighted images and immuno-histological findings. The resulting NOEMTR difference map clearly highlighted both the tumor core and infiltrative boundaries, which was not discernible on the post-contrast T1-weighted images. The extended tumor boundaries observed on the NOEMTR difference map corroborated with the IHC image, which confirmed the presence of infiltrative tumor cells and macrophages in these regions. Guided by the NOEMTR difference map, regions of interest (ROI) were drawn to quantify NOEMTR signal changes in the tumor core, tumor boundaries, and NABR post-Gd-DOTA. Tumor core showed a significant [~]43% reduction in NOEMTR signal (plJ=lJ0.003), while the tumor periphery exhibited a moderate reduction of [~]10%, (plJ=lJ0.045). No appreciable change in was observed in the NABR (plJ=lJ0.371). In contrast, the post contrast T1-weighted signal changes in tumor core, tumor periphery and NABR were, 33.32% (p = 0.092), 3.8% (p = 0.478), and 8.7% (p = 0.464) respectively. These findings suggest that NOEMTR imaging provides enhanced tumor contrast, particularly at the infiltrative tumor margins, where conventional contrast enhanced T1-weighted MRI may underestimate tumor extent. Histological validation confirmed the presence of infiltrative tumor cells and macrophages in the tumor periphery, as highlighted by the NOEMTR difference map. Overall, NOEMTR imaging, in combination with Gd-DOTA administration, demonstrates superior delineation of brain tumor boundaries compared to conventional MRI. As NOEMTR imaging is a fast acquisition scan (under 10 minutes) and performed on standard 3 Tesla, it can be easily integrated into clinical protocols. By improving visualization of tumor infiltration and distinguishing tumor regions from NABR, NOEMTR imaging holds promise for advancing neuro-oncological diagnostics and treatment planning.

bioengineering↗

bioRxiv2024

Tissue resident memory CD4+ T cells are sustained by site-specific levels of self-renewal and replacement from precursors

Tissue-resident memory T cells (TRM) protect from repeat infections within organs and barrier sites. The breadth and duration of such protection is defined at minimum by three quantities; the rate at which new TRM are generated from precursors, their rate of self-renewal, and their rate of loss through death, egress, or differentiation. Quanti-fying these processes individually is challenging. Here we combine genetic fate mapping tools and mathematical models to untangle these basic homeostatic properties of CD4+ TRM in the skin and gut lamina propria (LP) of healthy adult mice. We show that CD69+CD4+ TRM in skin reside for [~]24 days and self-renew more slowly, such that clones halve in size approximately every 5 weeks; and approximately 2% of cells are replaced daily from precursors. CD69+CD4+ TRM in LP have shorter residencies ([~]14 days) and are maintained largely by immigration (4-6% per day). We also find evidence that the continuous replacement of CD69+CD4+ TRM at both sites derives from circulating effector-memory CD4+ T cells, in skin possibly via a local CD69- intermediate. Our approach maps the ontogeny of CD4+ TRM in skin and LP and exposes their dynamic and distinct behaviours, with continuous seeding and erosion potentially impacting the duration of immunity at these sites.

immunology↗

bioRxiv2024

Ellagic acid: a potential inhibitor of enhancer of zeste homolog-2 and protein arginine methyltransferase-5

Dysregulation of epigenetic processes, characterized by aberrant DNA methylation patterns and histone modifications, is a hallmark of cancer, driving its initiation, progression, and metastasis by silencing tumor suppressor genes or activating oncogenes. Perturbations in histone modifications such as H3K27me3 by EZH2 and H4R3me2s by PRMT5 play significant roles in these epigenetic alterations, disrupting normal gene expression and facilitating oncogene activation while suppressing tumor suppressor genes. Consequently, inhibitors targeting enzymes involved in DNA methylation, histone modification, or chromatin remodeling, such as PRMTs and PRC complexes, are promising anti-cancer agents, with several undergoing pre-clinical and clinical trials. Our screening of a phytochemical library revealed ellagic acid as an effective inhibitor of both EZH2 and PRMT5. Ellagic acid interacts strongly with the EZH2 and PRMT5:MEP50 complex, binding to their active sites through {pi}-cation interactions and hydrogen bonds. Surface Plasmon Resonance study confirmed potent binding affinities of ellagic acid, with KD values of 3.28E-06 and 6.54E-05 for EZH2 and PRMT5:MEP50 respectively. In-vitro assays validated inhibitory effects on EZH2 and PRMT5:MEP50 by reducing the levels of their catalytic products H3K27me3 and H4R3me2s respectively and induction of autophagy and apoptosis. Further In-vivo studies using mouse xenografts further demonstrated significant tumor size reductions upon oral administration of ellagic acid, with decreased expression of the proliferative marker ki67 and histone repressive marks. Taken together we showed that inhibition of EZH2 and PRMT5:MEP50 by ellagic acid could be used to develop breast cancer therapeutic drug.

cancer biology↗

bioRxiv2024

Epigallocatechin-3-gallate inhibit the protein arginine methyltransferase 5 and Enhancer of Zeste homolog 2 in breast cancer both in vitro and in vivo

Histone methyltransferases are selectively catalyzing the methylation of lysine or arginine residues of target histone and non-histone proteins, classified as lysine methyltransferases and arginine methyltransferases. The EZH2 and PRMT5 catalyze trimethylation of H3 at K27 and symmetric dimethylation of H4 at R3 respectively. These histone repressive marks have been considered as hallmarks in cancer. Both PRMT5 and EZH2 over expressed in several cancers and have been considered as important target of drug development. As a result, many synthetic molecules as inhibitors of both PRMT5 and EZH2 are at different level of preclinical and clinical phases. Cancer atlas data analysis revealed that both PRMT5 and EZH2 had shown more than 90% amplification in breast cancer alone. We screened an array of phytocompounds towards the inhibition of PRMT5 and EZH2 using in silico, in vitro assays. Among them Epigallocatechin-3-gallate (EGCG) has interacted with human PRMT5: MEP50 and EZH2 efficiently. The EGCG interacted within the SAM binding site, with a {pi}-cation interaction at Lys 333 and H-bonds with Tyr324, Tyr334, Gly365, Leu437, and Glu444. Surface plasmon resonance analysis revealed that EGCG has strong binding affinity in nanomolar concentrations with both PRMT5-MEP50 than EZH2. Further in vitro methylation and cell-based assays proved the inhibitory potential of EGCG by reducing the catalytic products of PRMT5 and EZH2 i.e., H4R3me2s & H3K27me3 respectively and showed that it induced autophagy and apoptosis. Furthermore in vivo, mouse xenografts studies demonstrated that oral dosage, reduced tumor size significantly with reduction in proliferation marker Ki67 and these histone repressive marks. Finally conclude that inhibition of PRMT5 and EZH2 by EGCG potentially can be used to develop combined therapeutic approaches.

cancer biology↗

bioRxiv2023

IL-15 priming alters IFN-γ regulation in murine NK cells

Natural killer (NK) effector functions can be triggered by inflammatory cytokines and engagement of activating receptors. NK cell production of IFN-{gamma}, an important immunoregulatory cytokine, exhibits activation-specific IFN-{gamma} regulation. Resting murine NK cells exhibit activation-specific metabolic requirements for IFN-{gamma} production, which are reversed for activating receptor-mediated stimulation following IL-15 priming. While both cytokine and activating receptor stimulation leads to similar IFN-{gamma} protein production, only cytokine stimulation upregulates Ifng transcript, suggesting that protein production is translationally regulated after receptor stimulation. Based on these differences in IFN-{gamma} regulation, we hypothesized that ex vivo IL-15 priming of murine NK cells allows a switch to IFN-{gamma} transcription upon activating receptor engagement. Transcriptional analysis of primed NK cells compared to naive cells or cells cultured with low-dose IL-15 demonstrated that primed cells strongly upregulated Ifng transcript following activating receptor stimulation. This was not due to chromatin accessibility changes in the Ifng locus or changes in ITAM signaling, but was associated with a distinct transcriptional signature induced by ITAM stimulation of primed compared to naive NK cells. Transcriptional analyses identified a common signature of c-Myc (Myc) targets associated with Ifng transcription. While Myc marked NK cells capable of Ifng transcription, Myc itself was not required for Ifng transcription using a genetic model of Myc deletion. This work highlights altered regulatory networks in IL-15 primed cells, resulting in distinct gene expression patterns and IFN-{gamma} regulation in response to activating receptor stimulation.

immunology↗

bioRxiv2023

Structural Plasticity of GABAergic Pallidothalamic Terminals in MPTP-treated Parkinsonian Monkeys: A 3D Electron Microscopic Analysis

The globus pallidus pars interna (GPi) is a major source of GABAergic inhibition upon the motor thalamus. GPi neurons are endowed with properties that allow them to fire at a high rate and maintain a tonic inhibitory influence upon thalamocortical neurons. In parkinsonism, the firing rate of GPi neurons is further increased and their firing pattern switches from a tonic to a bursty mode, two pathophysiological changes associated with increased GABAergic pallidothalamic activity. At the thalamic level, GPi terminals display ultrastructural features (large diameter, multiple synapses, large number of mitochondria) that allow them to maintain tonic synaptic inhibition at high firing rate upon thalamocortical neurons in the parvocellular ventral anterior nucleus (VApc) and the centromedian nucleus (CM), the two main GPi-recipient motor thalamic nuclei in nonhuman primates. To determine if changes of GPi neurons activity are associated with neuroplastic reorganization of GPi terminals and their synapses, we used a Single Block Facing/Scanning Electron Microscopy (SBF/SEM), high resolution 3D electron microscopic approach to compare the morphometry of GPi terminals between 2 control and 2 MPTP-treated parkinsonian monkeys. Our findings demonstrate that pallidothalamic terminals in VApc and CM undergo major ultrastructural changes in parkinsonian monkeys: (1) increased terminal volume in both nuclei, (2) increased surface area of synapses in both nuclei, (3) increased number of synapses/GPi terminals in the CM, but not VApc, (4) increased total volume of mitochondria/terminals in both nuclei but not in the number of mitochondria. In contrast, the ultrastructure of putative GABAergic terminals from the reticular thalamic nucleus was not affected in both the VApc and CM of parkinsonian monkeys. Our findings also show striking morphological differences in terminal volume, number/area of synapses and volume/number of mitochondria between GPi terminals in VApc and CM of control monkeys. In conclusion, results of this study demonstrate that GABAergic pallidothalamic terminals are endowed with a high level of structural plasticity that may contribute to the development and maintenance of the abnormal increase in pallidal GABAergic outflow to the thalamus in the parkinsonian state. Furthermore, the evidence for ultrastructural differences between GPi terminals in VApc and CM suggests that Morphologically distinct pallidothalamic terminals underlie specific physiological properties of pallidal inputs to VApc and CM in normal and diseased states.

neuroscience↗

bioRxiv2022

Autophagy protects against high-dose Mycobacterium tuberculosis infection

Host autophagy had been associated with the control of Mycobacterium tuberculosis (Mtb) infection due to its ability to sequesters microorganisms through a process termed "xenophagy"1-4. Xenophagy purportedly limits Mtb replication within infected macrophages1-4. However, studies in mice using a standard low-dose infection model demonstrated that xenophagy in infected phagocytes is not required to control Mtb pathogenesis5,6. Instead, an autophagy-independent function of ATG5 in myeloid cells controls low-dose Mtb infection through limiting neutrophilic inflammation5. Hitherto, an in vivo role for autophagy during Mtb infection remained to be elucidated. We report herein that autophagy in myeloid cells mediates protection against high-dose Mtb infection, providing the first evidence for a role for autophagy in myeloid cells during Mtb infection in vivo. With the exception of ATG5, the autophagy proteins required to control high-dose Mtb infection are dispensable for host defense against a standard low-dose Mtb infection. Specifically, autophagy is required in CD11c+ cells, but is dispensable in neutrophils, to control a high-dose Mtb infection in the lung. The role for autophagy is not to directly degrade Mtb in macrophages through xenophagy, but mainly to limit myeloid-derived suppressor cell accumulation and to promote sustained protective T cell responses. Together, our data highlight a novel role for autophagy in controlling Mtb infection, distinct from that of Atg5 during low-dose Mtb infection, or any previously reported roles for autophagy. In addition, our finding that the result of a pathogen-plus-susceptibility gene interaction is dependent on pathogen burden has important implications on our understanding of how Mtb infection in humans can lead to a spectrum of outcomes, the variables that contribute to autophagy gene function during infection and inflammation, and the potential use of autophagy modulators in clinical medicine.

microbiology↗

bioRxiv2022

Targeting the BAG-1 family of co-chaperones in lethal prostate cancer.

Therapies that abrogate persistent androgen receptor (AR) signaling in castration resistant prostate cancer (CRPC) remain an unmet clinical need. The N-terminal domain (NTD) of the AR drives transcriptional activity in CRPC but is intrinsically disordered and remains a challenging therapeutic target. Therefore, inhibiting critical co-chaperones, such as BAG-1L, is an attractive alternative strategy. We performed druggability analyses demonstrating the BAG domain to be a challenging drug target. Thio-2, a tool compound, has been reported to bind the BAG domain of BAG-1L and inhibit BAG-1L-mediated AR transactivation. However, despite these data, the mechanism of action of Thio-2 is poorly understood and the BAG domain which is present in all BAG-1 isoforms has not been validated as a therapeutic target. Herein, we demonstrate growth inhibiting activity of Thio-2 in CRPC cell lines and patient derived models with decreased AR genomic binding and AR signaling independent of BAG-1 isoform function. Furthermore, genomic abrogation of BAG-1 isoforms did not recapitulate the described Thio-2 phenotype, and NMR studies suggest that Thio-2 may bind the AR NTD, uncovering a potential alternative mechanism of action, although in the context of low compound solubility. Furthermore, BAG-1 isoform knockout mice are viable and fertile, in contrast to previous studies, and when crossed with prostate cancer mouse models, BAG-1 deletion does not significantly impact prostate cancer development and growth. Overall, these data demonstrate that Thio-2 inhibits AR signaling and growth in CRPC independent of BAG-1 isoforms, and unlike previous studies of the activated AR, therapeutic targeting of the BAG domain requires further validation before being considered a therapeutic strategy for the treatment of CRPC.

molecular biology↗

bioRxiv2022

Sampling bias and the robustness of ecological metrics for plant-damage-type association networks

Plants and their insect herbivores have been a dominant component of the terrestrial ecological landscape for the past 410 million years and feature intricate evolutionary patterns and co-dependencies. A complex systems perspective allows for both detailed resolution of these evolutionary relationships as well as comparison and synthesis across systems. Using proxy data of insect herbivore damage (denoted by the damage type or DT) preserved on fossil leaves, functional bipartite network representations provide insights into how plant-insect associations depend on geological time, paleogeographical space, and environmental variables such as temperature and precipitation. However, the metrics measured from such networks are prone to sampling bias. Such sensitivity is of special concern for plant-DT association networks in paleontological settings where sampling effort is often severely limited. Here, we explore the sensitivity of functional bipartite network metrics to sampling intensity and identify sampling thresholds above which metrics appear robust to sampling effort. Across a broad range of sampling efforts, we find network metrics to be less affected by sampling bias and/or sample size than richness metrics, which are routinely used in studies of fossil plant-DT interactions. These results provide reassurance that cross-comparisons of plant-DT networks offer insights into network structure and function and support their widespread use in paleoecology. Moreover, these findings suggest novel opportunities for using plant-DT networks in neontological terrestrial ecology to understand functional aspects of insect herbivory across geological time, environmental perturbations, and geographic space.

ecology↗

bioRxiv2021

Single-cell RNA transcriptome analysis reveals CXCL16/CXCR6 as maintenance factors for CNS tissue resident T cells that drive synapse elimination during viral recovery

BackgroundEmerging RNA viruses that target the central nervous system (CNS) lead to cognitive sequelae in survivors. Studies in humans and mice infected with West Nile virus (WNV), a re-emerging RNA virus associated with learning and memory deficits, revealed microglial-mediated synapse elimination within the hippocampus. Moreover, CNS resident memory T (TRM) cells activate microglia, limiting synapse recovery and inducing spatial learning defects in WNV-recovered mice. The signals involved in T cell-microglia interactions are unknown. MethodsHere, we examined the murine WNV-recovered forebrain using single-cell RNA sequencing to identify putative ligand-receptor pairs involved in intercellular communication between T cells and microglia. Clustering and differential gene analyses were followed by protein validation, genetic and antibody-based approaches utilizing an established murine model of WNV recovery in which microglia and complement promote ongoing hippocampal synaptic loss. ResultsProfiling of host transcriptome at 25 days post-infection revealed a shift in forebrain homeostatic microglia to activated subpopulations with transcriptional signatures that have previously been observed in studies of neurodegenerative diseases. Importantly, CXCL16/CXCR6, a chemokine signaling pathway involved in TRM cell biology, was identified as critically regulating CXCR6 expressing CD8+ TRM cell numbers within the WNV-recovered forebrain. We demonstrate that CXCL16 is highly expressed by all myeloid cells, and its unique receptor, CXCR6, is highly expressed on all CD8+ T cells. Using genetic and pharmacological approaches, we demonstrate that CXCL16/CXCR6 is required not only for the maintenance of WNV-specific, CD8 TRM cells in the post-infectious CNS, but also contributes to their expression of TRM cell markers. Moreover, CXCR6+CD8+ T cells are required for glial activation and ongoing synapse elimination. ConclusionsWe provide a comprehensive assessment of the role of CXCL16/CXCR6 as an interaction link between microglia and CD8+ T cells that maintains forebrain TRM cells, microglial and astrocyte activation, and ongoing synapse elimination in virally recovered animals. We also show that therapeutic targeting of CXCL16 during recovery may reduce CNS CD8+ TRM cells.

immunology↗