Biology subjects

Le, J.

Publications and source records attributed to Le, J..

At least 19 recordsLinked to original sources

bioRxiv2026

Urban Vietnam at the microbiome transition: Co-existing enterotypes reflect the global industrialization patterns

Vietnam's rapid socioeconomic and dietary transition offers a rare window into how industrialization is reflected in the gut microbiome, yet Vietnamese populations remain underrepresented in global reference datasets. We investigated whether healthy Vietnamese adults in Hanoi harbor microbial community configurations associated with different stages of industrialization. Metagenomic data from stool samples of 183 clinically screened participants in Hanoi were analyzed alongside 629 publicly available metagenomic datasets from populations in low to middle income (LMI) and high income (HI) countries. Species-level taxonomic composition and gene-content-based metabolic pathways were characterized using community clustering and multivariable association analyses. Rather than forming a single population profile, the Vietnamese cohort separated into two enterotypes that mirrored the global industrialization gradient. Enterotype 1 more closely resembled populations from LMICs and showed greater microbial richness and diversity, whereas Enterotype 2 aligned with taxonomic and functional profiles observed in HICs. Both taxonomic and functional potential shows similar trajectories. Diet and lifestyle patterns describe some of the variance between enterotypes, supporting an association between contemporary exposures and microbiome structure without establishing causation. Antibiotic resistance profiles also varied between enterotypes, suggesting that the transition may encompass functions relevant to antimicrobial exposure. Together, these findings position urban Vietnam at a microbiome transition, where community states associated with different levels of industrialization coexist within a single population. This Vietnamese reference cohort expands representation in global metagenomic research and provides a baseline for tracking how rapid socioeconomic change may reshape microbial ecology, metabolic capacity, and antimicrobial resistance.

microbiology↗

bioRxiv2026

Opposing Experiences Shape Parvalbumin Interneuron Plasticity through Distinct Molecular Programs

Life experiences profoundly influence brain function, yet how opposing experiences are encoded remains unclear. Here, we show that opposing experiences, chronic stress (CS) and voluntary running (VR), induce largely distinct molecular programs rather than a simple bidirectional modulation of a shared molecular program in parvalbumin interneurons (PVIs). PVI-specific translational profiling across frontal cortex and dorsal and ventral hippocampus reveals that experience-dependent gene expression is organized into brain region-specific architectures, which are further structured into distinct co-expression modules. We uncovered CS-induced upregulation of histone acetyltransferase KAT6A and H3K23 acetylation specifically in PVIs of the frontal cortex accompanied by altered genome-wide redistribution of acetylated H3K23, including genes implicated in neuropsychiatric disorders. Targeted elevation of KAT6A in PVIs recapitulates CS-induced morphological and behavioral alterations. Together, our findings reveal that opposing experiences engage distinct and region-specific molecular programs in PVIs and identify a stress-responsive epigenetic pathway underlying inhibitory circuit plasticity.

neuroscience↗

bioRxiv2026

EBD-DTI: Episodic Bridge Diffusion for Zero-Shot Cold-Start Drug-Target Interaction Prediction

Predicting drug-target interactions (DTI) for entirely unseen drugs or proteins--the cold-start problem--remains a critical challenge in computational drug discovery. While sequence-based methods naturally support zero-shot generalization, they often ignore relational topology, and existing graph-based approaches either rely on global diffusion that blurs the boundary between inductive and transductive evaluation or require a few known interaction samples at test time (few-shot). We present EBD-DTI, a framework that enables zero-shot inference in graph-based DTI models without requiring any known interactions for unseen entities. The key innovation is episodic cold-start training : at each epoch, a random subset of training entities is masked and treated as pseudo-cold, forcing the model to learn cold-start inference with explicit gradient supervision. A bridge-conditioned local subgraph, together with multi-hop diffusion, provides cold entities with relational context from their nearest observed neighbors. Experiments on three benchmarks (BioSNAP, BindingDB, and DrugBank) demonstrate that EBD-DTI achieves competitive or superior performance compared to state-of-the-art methods under strict zero-shot evaluation, with episodic training improving AUC by up to 12%.

bioinformatics↗

bioRxiv2026

Spatial and Molecular Progression of Neural Progenitor Cells in the Developing Human Dentate Gyrus

The large diversity of neuronal and glial cell types in the human brain is underpinned by foundational cell populations known as neural progenitor cells (NPCs). The dentate gyrus (DG) of the hippocampus, a key structure in learning and memory, maintains a tightly organized NPC population into adulthood across many mammalian species. However, the emergence, organization and persistence of NPCs in the human hippocampus remain poorly characterized. Reports of NPCs in the juvenile, adult, and aged periods have been variable, reflecting differences in identification criteria and highlighting the need for a unified framework across development. In this study, we provide a spatial and molecular map of the developmental trajectory of NPCs in the human DG, combining multimodal transcriptomic analysis within a neuroanatomical context. At mid-gestation, we observed changes in the structural and cellular arrangement of the hippocampus, coinciding with the emergence of a multicellular NPC layer within the DG, herein named the granular-hilar progenitor zone (GHPZ). Neurogenic transcriptomic signatures in the GHPZ were diminished by early infancy, coinciding with a reduction in NPC number as they progressed toward an astrocytic program. At childhood, the GHPZ dissolved with only sparse radial NPCs remaining in the DG. Lastly, we validated WNT signaling pathway-associated genes as NPC identity markers in the developing human DG, observing a decline in their expression after infancy. Our study defines the steep decline of NPCs from gestation to the postnatal period, identifies their progression to an astrocytic nature, and sets the molecular blueprint for NPC identification in the human DG. HighlightsO_LIMultimodal mapping of neural progenitor cells from gestational to postnatal stages in the human hippocampus C_LIO_LIFormation of the granular-hilar progenitor zone within the dentate gyrus at mid-gestation C_LIO_LINeurogenic potential declines sharply from the prenatal period to childhood, with radial glia cells progressively acquiring astrocytic features C_LIO_LIDevelopmental modulation of the WNT signaling pathway accompanies radial glia cell transitions C_LI

neuroscience↗

bioRxiv2025

Physics-Diffusion-Driven Multiscale Aggregation for Drug-Target Interaction Prediction

Drug-target interaction prediction is an important task in computational drug discovery. To address the limitations of existing graph neural network approaches in propagation depth and robustness, we propose PDDMA-DTI (Physics-Diffusion-Driven Multiscale Aggregation for Drug-Target Interaction Prediction), a physics-inspired, multiscale adaptive aggregation framework. PDDMA-DTI injects a physics-motivated diffusion operator into a heterogeneous drug-target network: global diffusion models cross-modal information propagation via the graph Laplacian, while local diffusion performs neighborhood smoothing in the low-dimensional embedding space. Both processes are solved with the implicit Euler scheme to ensure numerical stability. For each node, we introduce an adaptive stopping rule based on steady-state convergence and a weighted fusion strategy. This strategy leverages hop counts and node degrees to aggregate multi-step diffusion snapshots into a final representation that preserves original features while capturing multi-scale context. To emphasize strong interaction pathways, we further propose a Physical Interaction Summation Enhancement module that augments pairwise interaction features with a linear plus quadratic energy term, thereby amplifying highly correlated drug-target pairs. Extensive experiments on multiple benchmark datasets show that PDDMA-DTI consistently outperforms representative baselines in accuracy and robustness.

bioinformatics↗

bioRxiv2025

AAV Kills Dividing Cells by Depleting PARP1 and Other DNA Damage Response Proteins

Recombinant adeno-associated virus (rAAV) is a replication-defective viral vector used in hundreds of human gene therapy trials, resulting in five FDA-approved therapies. Despite this success, rAAV-based gene therapies suffer from dose-limiting toxicities, resulting in several severe adverse reactions, including death. Previously, we discovered that rAAV rapidly kills mouse NPCs in vitro and in vivo. This vector contains a minimal genome comprised of 145-base pair inverted terminal repeats (ITRs) with a T-shaped hairpin structure that appears to be necessary and sufficient for this toxicity. However, the mechanism for AAV ITR toxicity is not known, and there have been few attempts to engineer ITRs to attenuate rAAV toxicity. In the current study, we explore the molecular mechanisms that drive dose-dependent rAAV toxicity in dividing human NPCs (hNPCs) and test whether disrupting these mechanisms mitigates this toxicity. Recombinant AAV infection induces aberrant cell cycle progression with activation of the ATM /CHK1/CHK2 pathway and expression of the DNA damage markers {gamma}H2AX and 53BP1. Affinity-based proteomics indicate that AAV ITRs bind to Poly-(ADP-Ribose)polymerase 1 (PARP1) and other DNA damage response (DDR) proteins involved in single-strand break repair (SSBR). Recombinant AAV infection attenuates poly-(ADP-ribose) (PAR) formation and mimics the antiproliferative effects of pharmacological PARP inhibitors used in cancer therapy. Moreover, treatment of hNPCs with PARP inhibitors is sufficient to reproduce many features of rAAV-induced toxicity. Finally, we demonstrate that eliminating the T-shaped hairpin within the AAV ITR reduces binding to SSBR proteins and the resulting rAAV toxicity. These findings suggest that rAAV infection induces replication stress and cell death in dividing hNPCs by functionally depleting PARP1 and other DDR proteins that are essential for DNA replication. This work fills substantial gaps in the understanding of the mechanisms of rAAV toxicity and has important implications for the development of safer rAAV-based human gene therapies. One Sentence SummaryThe rAAV genome binds to and depletes PARP1 and other SSBR proteins that are essential for DNA replication, resulting in DNA double stranded breaks, checkpoint activation, and cell death in dividing cells.

cell biology↗

bioRxiv2025

Intestinal catabolism of dietary fructose promotes obesity and insulin resistance via ileal lacteal remodeling

High-fructose corn syrup (HFCS) consumption is a risk factor for obesity and metabolic syndrome, yet the underlying mechanisms are incompletely understood. Catabolism of dietary fructose primarily occurs in the small intestine and liver, with fructose breakdown in the liver being pathological, while small intestinal fructose clearance protects the liver. Here, we unexpectedly found that inhibition of fructose catabolism specifically in the small intestine mitigates fructose-induced obesity and insulin resistance. Mechanistically, blocking intestinal fructose catabolism reduces dietary fat absorption, which is associated with a decrease in the surface area of the ileal lacteals and alterations in gut microbiome. Fecal transplantation experiments revealed that such a microbiome stimulates the intestine-resident macrophages, promoting lacteal growth and boosting dietary fat absorption. Given the preclinical and clinical studies reporting the effect of fructose catabolism suppression on mitigating diet-induced obesity, our data suggest that such effects are partly mediated by intestinal lacteal remodeling. Significance StatementHere, we uncover a previously unappreciated link between intestinal fructose catabolism and ileal lacteal remodeling, suggesting the mechanisms by which fructose intake promotes obesity. Using mice lacking the fructose-processing enzyme specifically in the intestine, we show that blocking intestinal fructose metabolism protects against diet-induced obesity by reducing fat absorption. Changes in gut microbiome and immune cell interactions drive this effect.

physiology↗

bioRxiv2025

UCP1 Mitigates Hepatic Steatosis and Fibrosis Independent of Cold Exposure

Non-shivering thermogenesis by brown adipose tissue (BAT) is a promising target for anti-obesity therapies, making its regulatory mechanisms of significant translational interest. While cold-induced BAT thermogenesis (CIT) is well characterized, certain high-calorie diets can also activate BAT in the absence of cold, a process known as diet-induced thermogenesis (DIT). Despite its potential relevance to modern human diets and lifestyles, the mechanisms and physiological relevance underlying DIT remain poorly understood. Here, we show that DIT reduces adiposity and protects against hepatic steatosis and fibrosis in males but not female mice. Moreover, adipose tissue-specific ablation of uncoupling protein 1 (UCP1) reveals that BAT is the primary mediator of DIT but that non-adipocyte UCP1 also contributes to body weight regulation. Transcriptome analysis suggests that DIT is triggered by intrinsic metabolic stress, distinguishing it from CIT, which is driven by sympathetic tone. Finally, BAT-specific arteriovenous metabolomics identifies glucose as the predominant circulating fuel for DIT. These findings uncover distinct molecular and metabolic features of DIT, highlighting opportunities to harness BAT activity for treating obesity and metabolic diseases without requiring cold exposure.

physiology↗

bioRxiv2025

Jasmonate-induced prey response in the carnivorous plant Drosera capensis

Drosera capensis is a carnivorous plant native to South Africa. Central to its prey capture and digestive processes is a complex array of biochemical processes triggering the production of both enzymes and small molecules. These processes are in part activated by the release of jasmonic acid, a plant defense hormone repurposed as a prey detection signal. Here, we use RNASeq and untargeted LC-MS metabolomics to study the response of D. capensis to a feeding stimulus. We confirm the expression of digestive proteins predicted in prior genomic work and show up- and downregulation for a number of enzyme classes in response to jasmonic acid. Metabolomics experiments indicate that many small molecules produced during feeding depend on specific nutrient inputs from prey (and not merely a jasmonic acid stimulus). These results shed light on the molecular basis of plant carnivory and the recruitment of existing biochemical pathways to perform specialized functions.

biochemistry↗

bioRxiv2025

Anti-Matrix Protein 1 Monoclonal Antibody NeutralizesInfluenza A Virus Subtypes

BackgroundResearch on monoclonal antibodies (mAb) targeting conserved internal proteins of influenza is limited. The matrix protein 1 (M1), the most abundant and conserved internal protein, serves as an endoskeleton bridging cytoplasmic tails of envelope glycoproteins haemagglutinin (HA), neuraminidase (NA) and matrix protein 2 (M2) with viral ribonucleoprotein particles (vRNPs). Clinical studies reveal significant M1 antibody responses post-infection and vaccination, with demonstrated B and T cell recognition. Our study examines 2B-B10-G9, our lab-synthesized mAb targeting conserved linear epitope of M1 at the C-terminal domain (CTD). MethodsBinding of 2B-B10-G9 to the purified influenza A viruses (IAV) and influenza B viruses (IBV) were assessed using SDS-PAGE and Western blotting with Image J analysis. Purified viruses included IAV (H1N1, Pandemic (H1N1) 2009 (H1N1pdm09), and H3N2 subtypes) and IBV which was first isolated in 1940 (B/Lee/40), and B/Victoria lineage. Cytotoxicity of 2B-B10-G9 on the Madin-Darby canine kidney (MDCK) cells was studied by MTT (3-(4, 5-dimethylthiazol-2)-2, 5-diphenyltetrazolium bromide) cell proliferation assay to establish in vitro and in ovo treatment doses. In ovo studies involved injecting 2B-B10-G9 into the allantoic cavity of specific pathogen free (SPF) 10-day-old embryonated chicken eggs (ECE) immediately post-infection with influenza A/Puerto Rico/8/1934 (H1N1) followed by RT-qPCR analysis of the virulence genes HA, NA, and PB1 expressions in the allantoic fluid (AF) 48 hours post-infection. ResultsmAb 2B-B10-G9 shows significantly stronger binding to the M1 protein of H1N1 subtype of IAV with respect to H3N2 subtype of IAV (p < 0.001), and it has significantly stronger binding to the M1 protein of H1N1 subtype of IAV with respect to H1N1pdm09 subtype, IBV including B/Lee/40, B/Victoria lineage. (p< 0.0001) mAb 2B-B10-G9 at dose of 40 {micro}g/ml which was determined as an optimal dose according to the MTT assay, significantly reduced plaque-forming units (PFU)/ml of IAV H1N1 and H3N2 subtypes in vitro (p< 0.0001). In ovo treatment of IAV H1N1 subtype at the same dose 40 {micro}g/ml, significantly suppressed the virulence genes HA, NA, and PB1 expressions compared to the untreated group (p< 0.0001, p< 0.001, p< 0.0001 respectively) and mouse isotype IgG1 mAb treated groups.(p< 0.01) ConclusionsThese findings highlight that anti-M1 mAb 2B-B10-G9, targeting conserved linear epitope at the CTD of M1 protein, might be considered as a possible therapeutic option for IAV H1N1 and H3N2 subtypes related to its significant recognition and binding, viral neutralization and suppression of expression of virulence genes including HA, NA and PB1.

microbiology↗

bioRxiv2025

A Novel Glia-immune humanized mouse model for investigation of HIV CNS infection and neuroinflammation.

Dysregulation in neuroimmune interactions drives pathology in diverse neurological disorders. However, human cell-based in vivo models are limited for clinically relevant mechanistic studies and drug testing. To address this, we developed a novel humanized mouse model integrating all four major types of human glia - astrocytes, oligodendrocyte precursor cells (OPCs), oligodendrocytes, and microglia - in the brain, alongside donor-matched human immune system in peripheral blood and lymphoid tissues. We applied this model to study HIV-associated neurocognitive disorders, which can persist in tissue reservoirs including in the brain despite viral suppression by antiretroviral therapy. These glia-immune humanized mice supported robust HIV-1 replication in the peripheral blood, lymphoid tissues, and the brain, and recapitulated the synapse loss observed in patients. Furthermore, HIV-infected mice exhibited heightened inflammation in both peripheral and brain tissues. Notably, OPCs and oligodendrocytes in HIV-infected brains adopted an immune activated phenotype, upregulating interferon-stimulated genes, highlighting understudied roles of oligodendroglia in HIV infection. RNA-sequencing of human glia identified the upregulation of inflammasome-associated genes and the downregulation of genes involved in transcriptional, epigenetic, and metabolic regulation. Overall, this model provides a powerful in vivo platform to investigate human neuroimmune interactions relevant to diverse neurological disorders, offering critical insights into HIV CNS infection, pathology, and potential therapeutic strategies targeting CNS reservoirs and neuroinflammatory pathways.

immunology↗

bioRxiv2025

Metabolic reprogramming in the spinal cord drives the transition to pain chronicity

Acute injuries can progress into painful states that endure long after healing. The mechanisms underlying this transition remain unclear, but metabolic adaptations to the bioenergy demands imposed by injury are plausible contributors. Here we show that peripheral injury activates AKT/mTORC1 in afferent segments of the mouse spinal cord, redirecting local core metabolism toward biomass production while simultaneously suppressing autophagy-mediated biomass reclamation. This metabolic shift supports neuroplasticity, but creates a resource bottleneck that depletes critical spinal cord nutrients. Preventing this depletion with a modified diet normalizes biomass generation and autophagy and halts the transition to chronic pain. This effect, observed across multiple pain models, requires activation of the nutrient sensors, sirtuin-1 and AMPK, as well as restoration of autophagy. The findings identify metabolic reprogramming and consequent autophagy suppression as key drivers of the progression to pain chronicity and highlight nutritional and pharmacological interventions that could prevent this progression after surgery or other physical traumas.

neuroscience↗

bioRxiv2024

Sex-dependent metabolic remodeling of kidneys revealed by arteriovenous metabolomics

Sex is a fundamental biological variable important in biomedical research, drug development, clinical trials, and prevention approaches. Among many organs, kidneys are known to exhibit remarkable structural, histological, and pathological differences between sexes. However, whether and how kidneys display distinct metabolic activities between sexes is poorly understood. By developing kidney-specific arteriovenous (AV) metabolomics combined with transcriptomics, we report striking sex differences in both basal metabolic activities and adaptive metabolic remodeling of kidneys after a fat-enriched ketogenic diet (KD), a regimen known to mitigate kidney diseases and improve immunotherapy for renal cancer. At the basal state, female kidneys show highly accumulated aldosterone and various acylcarnitines. In response to the KD, aldosterone levels remain high selectively in females but the sex difference in acylcarnitines disappears. AV data revealed that, under KD, female kidneys avidly take up circulating fatty acids and release 3-hydroxybutyrate (3-HB) whereas male kidneys barely absorb fatty acids but consistently take up 3-HB. Although both male and female kidneys take up gluconeogenic substrates such as glycerol, glutamine and lactate, only female kidneys exhibit net glucose release. Kidney transcriptomics data incompletely predict these sex differences, suggesting post-transcriptional/translational regulation mechanisms. This study provides foundational insights into the sex-dependent and diet-elicited metabolic flexibility of the kidneys in vivo, serving as a unique resource for understanding variable disease prevalence and drug responses between male and female kidneys.

biochemistry↗

bioRxiv2024

Evolutionary and functional analyses reveal conserved and non-conserved functions of vertebrate RIP kinases

Receptor interacting protein kinases (RIPK) RIPK1 and RIPK3 play important roles in diverse innate immune pathways. Despite this, some RIPK1/3-associated proteins are absent in specific vertebrate lineages, suggesting that some RIPK1/3 functions are conserved while others are more evolutionarily labile. Here, we perform comparative evolutionary analyses of RIPK1-5 and associated proteins in vertebrates to identify lineage-specific rapid evolution of RIPK3 and RIPK1 and recurrent loss of RIPK3-associated proteins. Despite this, diverse vertebrate RIPK3 proteins are able to activate NF-{kappa}B and cell death in human cells. Additional analyses revealed a striking conservation of the RIP homotypic interaction motif (RHIM) in RIPK3, as well as other human RHIM-containing proteins. Interestingly, diversity in the RIPK3 RHIM can tune activation of NF-{kappa}B while retaining the ability to activate cell death. Altogether, these data suggest that NF-{kappa}B activation is a core, conserved function of RIPK3, and the RHIM can tailor RIPK3 function to specific needs within and between species.

evolutionary biology↗

bioRxiv2024

The ZmHSF20-ZmHSF4-ZmCesA2 module regulates heat stress tolerance in maize

Temperature shapes the geographical distribution and behavior of plants. Understanding the regulatory mechanisms behind plant heat response is important for developing climate-resilient crops, including maize (Zea mays). To identify transcription factors that may contribute to heat response, we generated a dataset of short- and long-term transcriptome changes following a heat treatment time course in the maize inbred line B73. Co-expression network analysis highlighted several transcription factors, including the class B2a heat shock factor ZmHSF20. ZmHsf20 mutant seedlings exhibited enhanced tolerance of heat stress. Furthermore, DNA affinity purification sequencing and CUT&Tag assays demonstrated that ZmHSF20 binds the promoters of Cellulose synthase A2 (ZmCesA2) and three class A HSF genes, including ZmHSF4, repressing their transcription. We showed that ZmCesA2 and ZmHSF4 positively regulate heat response, with ZmHSF4 directly activating ZmCesA2 transcription. In agreement with the transcriptome analysis, ZmHSF20 negatively modulated cellulose accumulation and repressed the expression of cell wall-related genes. Importantly, the ZmHsf20 ZmHsf4 double mutant exhibited decreased thermotolerance, placing ZmHSF4 downstream of ZmHSF20. Based on our results, we propose an expanded model of the heat stress response in maize, whereby ZmHSF20 lowers heat tolerance of seedlings by repressing ZmHSF4 and ZmCesA2, thus balancing growth and defense at the seedling stage. One-sentence summaryZmHSF20, as a negative factor, acts upstream of ZmHSF4 and ZmCesA2, which are involved in positively regulating the cell wall development under heat stress, thereby improving maize heat tolerance.

plant biology↗

bioRxiv2023

Leveraging genetic correlation structure to target discrete signaling mechanisms across metabolic tissues

Abstract/IntroductionInter-organ communication is a vital process to maintain physiologic homeostasis, and its dysregulation contributes to many human diseases. Beginning with the discovery of insulin over a century ago, characterization of molecules responsible for signal between tissues has required careful and elegant experimentation where these observations have been integral to deciphering physiology and disease. Given that circulating bioactive factors are stable in serum, occur naturally, and are easily assayed from blood, they present obvious focal molecules for therapeutic intervention and biomarker development. For example, physiologic dissection of the actions of soluble proteins such as proprotein convertase subtilisin/kexin type 9 (PCSK9) and glucagon-like peptide 1 (GLP1) have yielded among the most promising therapeutics to treat cardiovascular disease and obesity, respectively1-4. A major obstacle in the characterization of such soluble factors is that defining their tissues and pathways of action requires extensive experimental testing in cells and animal models. Recently, studies have shown that secreted proteins mediating inter-tissue signaling could be identified by "brute-force" surveys of all genes within RNA-sequencing measures across tissues within a population5-9. Expanding on this intuition, we reasoned that parallel strategies could be used to understand how individual genes mediate signaling across metabolic tissues through correlative analyses of gene variation between individuals. Thus, comparison of quantitative levels of gene expression relationships between organs in a population could aid in understanding cross-organ signaling. Here, we surveyed gene-gene correlation structure across 18 metabolic tissues in 310 human individuals and 7 tissues in 103 diverse strains of mice fed a normal chow or HFHS diet. Variation of genes such as FGF21, ADIPOQ, GCG and IL6 showed enrichments which recapitulate experimental observations. Further, similar analyses were applied to explore both within-tissue signaling mechanisms (liver PCSK9) as well as genes encoding enzymes producing metabolites (adipose PNPLA2), where inter-individual correlation structure aligned with known roles for these critical metabolic pathways. Examination of sex hormone receptor correlations in mice highlighted the difference of tissue-specific variation in relationships with metabolic traits. We refer to this resource as Gene-Derived Correlations Across Tissues (GD-CAT) where all tools and data are built into a web portal enabling users to perform these analyses without a single line of code (gdcat.org). This resource enables querying of any gene in any tissue to find correlated patterns of genes, cell types, pathways and network architectures across metabolic organs.

physiology↗

bioRxiv2022

ADOLESCENT EXPOSURE TO LOW-DOSE THC DISRUPTS ENERGY BALANCE AND ADIPOSE ORGAN HOMEOSTASIS IN ADULTHOOD

One of cannabis most iconic effects is the stimulation of hedonic high-calorie eating - the munchies - yet habitual cannabis users are on average leaner than non-users. We asked whether this unexpected phenotype might result from lasting changes in energy balance established during adolescence, when habitual use of the drug often begins. We found that daily low-dose administration of cannabis intoxicating constituent, {Delta}9-tetrahydrocannabinol (THC), to adolescent mice causes an adult metabolic phenotype characterized by reduced fat mass, increased lean mass and utilization of fat as fuel, partial resistance to diet-induced obesity and dyslipidemia, and enhanced thermogenesis. Multi-omics analyses revealed that this phenotype is associated with multiple molecular anomalies in the adipose organ, which include ectopic overexpression of muscle-associated proteins and heightened anabolic processing. Thus, adolescent exposure to THC may promote an enduring pseudo-lean state that superficially resembles healthy leanness but might in fact be rooted in adipose organ dysfunction.

pharmacology and toxicology↗

bioRxiv2020

Environmental conditions and diffusion-limited microbial transfer drive specific microbial communities detected at different sections in oil-production reservoir with water-flooding

This study investigated the distribution of microbial communities in the oilfield production facilities of a water-flooding petroleum reservoir and the roles of environmental variation, microorganisms in injected water, and diffusion-limited microbial transfer in structuring the microbial communities. Similar bacterial communities were observed in surface water-injection facilities dominated by aerobic or facultative anaerobic Betaproteobacteria, Alphaproteobacteria, and Flavobacteria. Distinct bacterial communities were observed in downhole of the water-injection wells dominated by Clostridia, Deltaproteobacteria, Anaerolineae, and Synergistia, and in the oil-production wells dominated by Gammaproteobacteria, Betaproteobacteria, and Epsilonproteobacteria. Methanosaeta, Methanobacterium, and Methanolinea were dominant archaeal taxa in the water-injection facilities, while the oil-production wells were predominated by Methanosaeta, Methanomethylovorans, and Methanocalculus. Energy, nucleotide, translation, and glycan biosynthesis metabolisms were more active in the downhole of the water-injection wells, while bacterial chemotaxis, biofilm formation, two-component system, and xenobiotic biodegradation was associated with the oil-production wells. The number of shared OTUs and its positive correlation with formation permeability revealed differential diffusion-limited microbial transfer in oil-production facilities. The overall results indicate that environmental variation and microorganisms in injected water are the determinants that structure microbial communities in water-injection facilities, and the determinants in oil-bearing strata are environmental variation and diffusion-limited microbial transfer. IMPORTANCEWater-flooding continually inoculates petroleum reservoirs with exogenous microorganisms, nutrients, and oxygen. However, how this process influences the subsurface microbial community of the whole production process remains unclear. In this study, we investigated the spatial distribution of microbial communities in the oilfield production facilities of a water-flooding petroleum reservoir, and comprehensively illustrate the roles of environmental variation, microorganisms in injected water, and diffusion-limited microbial transfer in structuring the microbial communities. The results advance fundamental understanding on petroleum reservoir ecosystems that subjected to anthropogenic perturbations during oil production processes.

microbiology↗