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Guillot, A.

Publications and source records attributed to Guillot, A..

13 recordsLinked to original sources

Hepatocyte-, but not myeloid cell-Rictor/mTORC2 deficiency moderately attenuates steatotic liver disease induced by intake of a choline-deficient, amino acid-defined high-fat diet

Previous studies have demonstrated that mechanistic target of rapamycin complex 2 (mTORC2) deficiency provides complete protection against steatotic liver disease driven by constitutive activation of the phosphoinositide 3-kinase (PI3K)-Akt signaling pathway and de novo lipogenesis, and partial protection against disease induced by a high-fat diet. We investigated herein whether mTORC2 deficiency in hepatocytes and myeloid cells, including Kupffer cells and recruited macrophages, influences the development of liver disease induced by intake of a choline-deficient, amino acid-defined high-fat diet (CDAHFD), a model in which liver disease is induced by impaired hepatic secretion of very low-density lipoprotein (VLDL) triacylglycerol. For this, mice with either hepatocyte- or myeloid cells-specific deletion of mTORC2 essential component rapamycin-insensitive companion of mTOR (Rictor) and their respective littermate controls were fed with either chow or CDAHFD for 10 weeks and evaluated for hepatic steatosis, inflammation and fibrosis. Our main findings indicate that hepatocyte Rictor/mTORC2 deficiency slightly attenuated the CDAHFD-induced increases in liver mass, macrovesicular steatosis and triacylglycerol accumulation, without affecting though liver cholesterol, serum markers of liver injury (AST and ALT), as well as the upregulation in proinflammatory cytokine IL-1{beta} and expression of fibrosis-related genes. Myeloid cells-Rictor deletion had no detectable impact on liver steatosis, inflammatory, or fibrosis induced by CDAHFD. In conclusion, mTORC2 deficiency show modest beneficial effects in counteracting liver disease induced by CDAHFD intake.

biochemistry↗

The stereochemical mechanism of the B12-dependent radical SAM glutamine methyltransferase (QCMT): Novel insights and unprecedented post-translational modifications

Methyl-coenzyme M reductase (MCR) is a crucial enzyme for methanogenesis and harbors several unusual post-translational modifications. Recent studies have identified glutamine C-methyltransferase (QCMT), as a B12-dependent radical SAM enzyme responsible for methylating a glutamine residue within the MCR active site. B12-dependent radical SAM enzymes have the remarkable ability to alkylate unactivated Csp2- and Csp3-atoms in a stereoselective manner. However, the factors influencing the stereo-selectivity and catalytic properties of this emerging superfamily of enzymes remain poorly understood. In this study, we report the mechanistic, structural, and biochemical investigation of several QCMTs. Our findings reveal significant differences among them, notably in their ability to bind cobalamin. In addition, our data support that C H-atom abstraction and methyl transfer are not concerted but rather independent processes that require motion within the enzymes active site. We also demonstrate that QCMT can catalyze novel reactions, including the formation of unnatural C-methylated residues, peptide epimerization, reversible H-atom abstraction, and the direct conversion of glycine into O_SCPLOWDC_SCPLOW-alanine. Overall, our data are consistent with QCMT being a unique and versatile biocatalyst allowing for the installation of unnatural post-translational modifications and provide a structural and biochemical rationale for the control of the stereochemistry by B12-dependent radical SAM enzymes.

biochemistry↗

Neonatal liver niches program T cell tolerance

After birth, the immune system must learn to tolerate a rapidly changing milieu of commensals and self while remaining ready for pathogens. Here we characterize the neonatal liver as a central hub in this process: In postnatal week 1-2, the liver hosts a developmentally encoded, microbiota-independent expansion of regulatory T cells (Tregs) that coexists with microbiota-tuned conventional wave of activated CD4 T cells (Tconvs). Mechanistically, the Treg expansion is governed by MHCII-mediated antigen presentation by CCR7+ cDC1s, which establish tolerogenic DC:T cell clusters in the liver parenchyma, allowing for local expansion and control via PD-L1 checkpoints that selectively increase Tregs without unleashing Tconvs. Importantly, this transient, neonatal program predisposes hepatotropic viral infections to progress toward chronic disease but also protects the adult liver from steatotic disease. These data position the neonatal liver as a unique site of early life T-cell education with timing-sensitive implications for early-life interventions.

immunology↗

The adhesion molecules β7 integrin and L-selectin contribute to cholestatic liver disease in male mice

Background & AimsPrimary sclerosing cholangitis (PSC) is a long-term progressive disease, often occurring in conjunction with inflammatory bowel disease (IBD). Dysregulated immune cell migration and gut microbiota alterations are implicated in disease progression. Livers of PSC patients show upregulation of the endothelial ligand mucosal addressin cell-adhesion molecule-1 (MAdCAM-1). Here we examined the role of the leukocytic adhesion molecules (AM) {beta}7 integrin and L-selectin, both binding partners of MAdCAM-1, in an experimental mouse model resembling aspects of human PSC. MethodsWild type (WT), {beta}7 integrin-deficient ({beta}7-/-), L-selectin-deficient (L-sel-/-), and L-selectin/{beta}7 integrin double-deficient (L-sel-/-/{beta}7-/-) male mice were compared in the model of 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC)-induced cholangiopathy. The extent of pathology was evaluated by serum parameters, histology, flow cytometry, and expression of inflammatory mediators. Fecal microbiota changes were assessed by 16S rRNA amplicon sequencing and intestinal permeability was measured by FITC-dextran assay. ResultsAM-deficient mice were markedly protected from DDC-induced cholangiopathy. Hepatic immune cell populations of AM-deficient mice differed significantly from those of WT mice. Adoptively transferred {beta}7-/- CD8+ T cells caused significantly less liver damage than CD8+ WT T cells in DDC-treated {beta}7-/- mice. DDC-feeding caused substantial changes in fecal microbiota profiles, which differed between the mouse strains, and a strong increase in intestinal permeability that was significantly lower in {beta}7-/- than WT mice. Conclusions{beta}7 integrin and L-selectin contribute to DDC-induced cholangiopathy with {beta}7 integrin-expressing CD8+ T cells playing a crucial role in promoting pathogenesis. In addition, AM-expressing immune cells may contribute to the inflammatory process by causing unfavorable gut microbiota shifts and destabilizing the gut barrier. Synopsis{beta}7 integrin- and/or L-selectin-deficient mice are less susceptible to 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC)-induced experimental cholangiopathy. {beta}7 integrin-expressing CD8+ T cells contribute to DDC-induced pathogenesis. {beta}7 integrin promotes DDC-induced gut barrier dysfunction and microbiota shifts, potentially exacerbating hepatic injury.

immunology↗

2D, or not 2D? Investigating Vertical Signal Integrity of Tissue Slices

Imaging-based spatially resolved transcriptomics can localize transcripts within tissue sections in 3D. Cell segmentation assigns transcripts to cells and precedes annotation of cell function. However, cell segmentation is usually performed in 2D, thus unable to deal with spatial doublets arising from overlapping cells, resulting in segmented cells containing transcripts originating from multiple cell types. Here we present a computational tool called ovrlpy that identifies overlapping cells, tissue folds, and inaccurate cell-segmentation by analyzing transcript localization in 3D.

bioinformatics↗

Vertical sleeve gastrectomy in rodents: impact on metabolic, cardiovascular and hepatic functions of mothers and perinatal consequences

BackgroundMaternal obesity is a well-known risk factor for obstetrical complications during pregnancy, and cardiovascular and metabolic pathologies in the offspring. In the last two decades, bariatric surgery has emerged as the most effective treatment for severe obesity, and is known to improve fertility, leading to a rise in procedures among women of childbearing age. ObjectivesThis study investigates the impact of pre-conceptional sleeve gastrectomy (SG) on metabolic, cardiovascular and hepatic functions of mothers at short and middle terms after surgery, and its perinatal consequences. MethodsSprague-Dawley female control rats (CM) received a standard diet, while others were fed a high-fat, high-sugar diet (HFHS). HFHS rats were divided into obese mothers (OM) and sleeve gastrectomy mothers (SM). One month after surgery, all groups underwent gestation and subsequent lactation Metabolic function was assessed at 1 and 4 months after surgery; cardiovascular and hepatic functions were evaluated only 4 months after SG. ResultsFrom 1 month post-surgery, SM showed normalized leptin and insulin levels compared to OM. Moreover, SG normalized body weight associated with a decreased white adipose tissue weight and adipocyte size at 4 months post-surgery. Interestingly, although steatosis has been detected in HFHS rats, SM exhibited only hepatic fibrosis at 4 months post-surgery. Moreover, SM showed a hypertrophic remodeling of thoracic aorta without effect on its vasoreactivity but along with endothelial dysfunction of mesenteric artery, associated with a stronger involvement of COX/PGI2 pathway. In the offspring, obesity in mothers was associated to a decreased liter size, reversed by sleeve gastrectomy without any effect on the birth weight of pups. ConclusionWhile this study reports an improvement of metabolic function at short- and medium-terms after bariatric surgery, our results highlight an alteration of hepatic and vascular functions by sleeve gastrectomy, with minimal effect on the offspring in the perinatal period.

physiology↗

Fetal Liver-like Organoids Recapitulate Blood-Liver Niche Development and Multipotent Hematopoiesis from Human Pluripotent Stem Cells

The fetal liver is a hematopoietic organ, hosting a diverse and evolving progenitor population. While human liver organoids derived from pluripotent stem cells (PSCs) mimic aspects of embryonic and fetal development, they typically lack the complex hematopoietic niche and the interaction between hepatic and hematopoietic development. We describe the generation of human Fetal Liver-like Organoids (FLOs), that model human hepato-hematopoietic interactions previously characterized in mouse models. Developing FLOs first integrate a yolk sac-like hemogenic endothelium into hepatic endoderm and mesoderm specification. As the hepatic and hematopoietic lineages differentiate, the FLO culture model establishes an autonomous niche capable of driving subsequent progenitor differentiation without exogenous factors. Consistent with yolk sac-derived waves, hematopoietic progenitor cells (HPCs) within FLOs exhibit multipotency with a preference for myeloid lineage commitment, while retaining fetal B and T cell differentiation potential. We reconstruct in FLOs the embryonic monocyte-to-macrophage and granulocyte immune trajectories within the FLO microenvironment and assess their functional responses in the liver niche. In vivo, FLOs demonstrate a liver engraftment bias of hematopoietic cells, recapitulating a key phenomenon of human hematopoietic ontogeny. Our findings highlight the intrinsic capacity of liver organoids to support hematopoietic development, establishing FLOs as a platform for modeling and manipulating human blood-liver niche interactions during critical stages of development and disease.

developmental biology↗

Multiomics analyses decipher intricate changes in the cellular and metabolic landscape of steatotic livers upon dietary restriction and sleeve gastrectomy

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a chronic, progressive liver disease that encompasses a spectrum of steatosis, steatohepatitis (or MASH), and fibrosis. Evidence suggests that dietary restriction (DR) and sleeve gastrectomy (SG) can lead to remission of hepatic steatosis and inflammation through weight loss, but it is unclear whether these procedures induce distinct metabolic or immunological changes in MASLD livers. This study aims to elucidate the intricate hepatic changes following DR, SG or sham surgery in rats fed a high-fat diet as a model of obesity-related MASLD, in comparison to a clinical cohort of patients undergoing SG. Single-cell and single-nuclei transcriptome analysis, spatial metabolomics, and immunohistochemistry revealed the liver landscape, while circulating biomarkers were measured in serum samples. Artificial intelligence (AI)-assisted image analysis characterized the spatial distribution of hepatocytes, myeloid cells and lymphocytes. In patients and experimental MASLD rats, SG improved BMI, circulating liver injury biomarkers and triglyceride levels. Both DR and SG attenuated liver steatosis and fibrosis in rats. Metabolism-related genes (Ppara, Cyp2e1 and Cyp7a1) were upregulated in hepatocytes upon DR and SG, while SG broadly upregulated lipid metabolism on cholangiocytes, monocytes, macrophages, and neutrophils. Furthermore, SG promoted myeloid cell accumulation in the liver not only ameliorating inflammation but activating liver repair processes. Regions with potent myeloid infiltration were marked with enhanced metabolic capacities upon SG. Additionally, a disruption of periportal hepatocyte functions was observed upon DR. In conclusion, this study indicates a dynamic cellular crosstalk in steatotic livers undergoing SG. Notably, PPAR- and gut-liver axis-related processes, and metabolically-active myeloid cell infiltration indicate intervention-related mechanisms supporting SG for the treatment of MASLD.

bioinformatics↗

Local field potentials in human motor and non-motor brain areas encode the direction of upcoming movements: An intracerebral EEG classification study

Limb movement direction can be inferred from motor cortex activity. In humans, such decoding has been predominantly demonstrated using the spectral power of electrophysiological signals recorded in sensorimotor areas during movement execution. Yet, it remains unclear to what extent intended hand movement direction can be predicted from brain signals recorded during movement planning. Furthermore, whether other oscillatory features beyond power are also involved in direction encoding is not fully understood. Here, we set out to probe the directional-tuning of oscillatory phase, amplitude and Phase-Amplitude Coupling (PAC) during motor planning and execution, using a machine learning framework on multi-site local field potentials (LFPs) in humans. To this end, we recorded intracranial EEG data from implanted epilepsy patients as they performed a four-direction delayed center-out motor task. We found that LFP power significantly predicted hand-movement direction at execution but also during planning. While successful classification during planning primarily involved low-frequency power in a fronto-parietal circuit, decoding during execution was largely mediated by higher frequency activity in motor and premotor areas. Interestingly, LFP phase at very low frequencies (<1.5 Hz) led to significant decoding in premotor brain regions during execution. The machine learning framework also showed PAC to be uniformly modulated across directions through the task. Cross-temporal generalization analyses revealed that several stable brain patterns in prefrontal and premotor brain regions encode directions across both planning and execution. Finally, multivariate classification led to an increase in overall decoding accuracy (>80%) during both planning and execution. The novel insights revealed here extend our understanding of the role of neural oscillations in encoding motor plans.

neuroscience↗

Structure-Function analysis of Lactiplantibacillus plantarum DltE reveals D-alanylated lipoteichoic acids as direct symbiotic cues supporting Drosophila juvenile growth

Metazoans establish mutually beneficial interactions with their resident microorganisms. However, our understanding of the microbial cues contributing to host physiology remains elusive. Previously, we identified a bacterial machinery encoded by the dlt operon involved in Drosophila melanogasters juvenile growth promotion by Lactiplantibacillus plantarum. Here, using crystallography combined with biochemical and cellular approaches, we investigate the physiological role of an uncharacterized protein (DltE) encoded by this operon. We show that LTAs but not WTAs are D-alanylated in Lactiplantibacillus plantarumNC8 cell envelope and demonstrate that DltE is a D-Ala carboxyesterase removing D-Ala from LTA. Using the mutualistic association of L. plantarumNC8 and Drosophila melanogaster as a symbiosis model, we establish that D-Ala-LTAs are direct symbiotic cues supporting intestinal peptidase expression and juvenile growth in Drosophila. Our results pave the way to probing the contribution of D-Ala-LTA to host physiology in other symbiotic models.

microbiology↗

Tensorpac : an open-source Python toolbox for tensor-based Phase-Amplitude Couplingmeasurement in electrophysiological brain signals

Despite being the focus of a thriving field of research, the biological mechanisms that underlie information integration in the brain are not yet fully understood. A theory that has gained a lot of traction in recent years suggests that multi-scale integration is regulated by a hierarchy of mutually interacting neural oscillations. In particular, there is accumulating evidence that phase-amplitude coupling (PAC), a specific form of cross-frequency interaction, plays a key role in numerous cognitive processes. Current research in the field is not only hampered by the absence of a gold standard for PAC analysis, but also by the computational costs of running exhaustive computations on large and high-dimensional electrophysiological brain signals. In addition, various signal properties and analyses parameters can lead to spurious PAC. Here, we present Tensorpac, an open-source Python toolbox dedicated to PAC analysis of neurophysiological data. The advantages of Tensorpac include (1) higher computational efficiency thanks to software design that combines tensor computations and parallel computing, (2) the implementation of all most widely used PAC methods in one package, (3) the statistical analysis of PAC measures, and (4) extended PAC visualization capabilities. Tensorpac is distributed under a BSD-3-Clause license and can be launched on any operating system (Linux, OSX and Windows). It can be installed directly via pip or downloaded from Github (https://github.com/EtienneCmb/tensorpac). By making Tensorpac available, we aim to enhance the reproducibility and quality of PAC research, and provide open tools that will accelerate future method development in neuroscience.

bioinformatics↗

Benefits of motor imagery practice during arm-immobilization on the sensorimotor cortical networks and sleep features

Motor imagery (MI) is known to engage motor networks and could compensate for the maladaptive neuroplasticity elicited by immobilization. This hypothesis and associated underlying neural mechanisms remain underexplored. Here, we investigated how MI practice during 11 h of arm-immobilization influences sensorimotor and cortical representations of the hands, as well as sleep. Fourteen participants were first tested after a normal day, followed by two 11-h periods of immobilization, either with concomitant MI treatment or control tasks. Data revealed that MI prevented the consequences of immobilization: (i) alteration of the sensorimotor representation of hands, (ii) decrease of cortical excitability over the primary motor cortex (M1) contralateral to arm-immobilization, and (iii) reduction of sleep spindles over both M1s. Furthermore, (iv) the time spent in REM sleep was significantly longer after MI. These results support that implementing MI during immobilization can limit the deleterious effects of limb disuse, at several levels of sensorimotor functioning.

neuroscience↗

The Dreem Headband as an Alternative to Polysomnography for EEG Signal Acquisition and Sleep Staging

Despite the central role of sleep in our lives and the high prevalence of sleep disorders, sleep is still poorly understood. The development of ambulatory technologies capable of monitoring brain activity during sleep longitudinally is critical to advancing sleep science and facilitating the diagnosis of sleep disorders. We introduced the Dreem headband (DH) as an affordable, comfortable, and user-friendly alternative to polysomnography (PSG). The purpose of this study was to assess the signal acquisition of the DH and the performance of its embedded automatic sleep staging algorithms compared to the gold-standard clinical PSG scored by 5 sleep experts. Thirty-one subjects completed an over-night sleep study at a sleep center while wearing both a PSG and the DH simultaneously. We assessed 1) the EEG signal quality between the DH and the PSG, 2) the heart rate, breathing frequency, and respiration rate variability (RRV) agreement between the DH and the PSG, and 3) the performance of the DHs automatic sleep staging according to AASM guidelines vs. PSG sleep experts manual scoring. Results demonstrate a strong correlation between the EEG signals acquired by the DH and those from the PSG, and the signals acquired by the DH enable monitoring of alpha (r= 0.71 {+/-} 0.13), beta (r= 0.71 {+/-} 0.18), delta (r = 0.76 {+/-} 0.14), and theta (r = 0.61 {+/-} 0.12) frequencies during sleep. The mean absolute error for heart rate, breathing frequency and RRV was 1.2 {+/-} 0.5 bpm, 0.3 {+/-} 0.2 cpm and 3.2 {+/-} 0.6 %, respectively. Automatic Sleep Staging reached an overall accuracy of 83.5 {+/-} 6.4% (F1 score : 83.8 {+/-} 6.3) for the DH to be compared with an average of 86.4 {+/-} 8.0% (F1 score: 86.3 {+/-} 7.4) for the five sleep experts. These results demonstrate the capacity of the DH to both precisely monitor sleep-related physiological signals and process them accurately into sleep stages. This device paves the way for high-quality, large-scale, longitudinal sleep studies.

neuroscience↗