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1.
Microbiome ; 12(1): 116, 2024 Jun 28.
Article in English | MEDLINE | ID: mdl-38943206

ABSTRACT

BACKGROUND: Population stratification based on interindividual variability in gut microbiota composition has revealed the existence of several ecotypes named enterotypes in humans and various animal species. Enterotypes are often associated with environmental factors including diet, but knowledge of the role of host genetics remains scarce. Moreover, enterotypes harbor functionalities likely associated with varying abilities and susceptibilities of their host. Previously, we showed that under controlled conditions, 60-day-old pig populations consistently split into two enterotypes with either Prevotella and Mitsuokella (PM enterotype) or Ruminococcus and Treponema (RT enterotype) as keystone taxa. Here, our aim was to rely on pig as a model to study the influence of host genetics to assemble enterotypes, and to provide clues on enterotype functional differences and their links with growth traits. RESULTS: We established two pig lines contrasted for abundances of the genera pairs specifying each enterotype at 60 days of age and assessed them for fecal microbiota composition and growth throughout three consecutive generations. Response to selection across three generations revealed, per line, an increase in the prevalence of the selected enterotype and in the average relative abundances of directly and indirectly selected bacterial genera. The PM enterotype was found less diverse than the RT enterotype but more efficient for piglet growth during the post-weaning period. Shotgun metagenomics revealed differentially abundant bacterial species between the two enterotypes. By using the KEGG Orthology database, we show that functions related to starch degradation and polysaccharide metabolism are enriched in the PM enterotype, whereas functions related to general nucleoside transport and peptide/nickel transport are enriched in the RT enterotype. Our results also suggest that the PM and RT enterotypes might differ in the metabolism of valine, leucin, and isoleucine, favoring their biosynthesis and degradation, respectively. CONCLUSION: We experimentally demonstrated that enterotypes are functional ecosystems that can be selected as a whole by exerting pressure on the host genetics. We also highlight that holobionts should be considered as units of selection in breeding programs. These results pave the way for a holistic use of host genetics, microbiota diversity, and enterotype functionalities to understand holobiont shaping and adaptation. Video Abstract.


Subject(s)
Feces , Gastrointestinal Microbiome , Animals , Gastrointestinal Microbiome/genetics , Swine/microbiology , Feces/microbiology , Bacteria/classification , Bacteria/genetics , Metagenomics/methods , Prevotella/genetics , Prevotella/classification , Ruminococcus/genetics , Treponema/genetics
2.
J Thorac Oncol ; 18(10): 1408-1415, 2023 10.
Article in English | MEDLINE | ID: mdl-37217096

ABSTRACT

INTRODUCTION: Sequential anti-programmed cell death protein 1 (PD-1) or anti-programmed death-ligand 1 (PD-L1) followed by small targeted therapy use is associated with increased prevalence of adverse events (AEs) in NSCLC. KRASG12C inhibitor sotorasib may trigger severe immune-mediated hepatotoxicity when used in sequence or in combination with anti-PD-(L)1. This study was designed to address whether sequential anti-PD-(L)1 and sotorasib therapy increases the risk of hepatotoxicity and other AEs. METHODS: This is a multicenter, retrospective study of consecutive advanced KRASG12C-mutant NSCLC treated with sotorasib outside clinical trials in 16 French medical centers. Patient records were reviewed to identify sotorasib-related AEs (National Cancer Institute Common Classification Criteria for Adverse Events-Version 5.0). Grade 3 and higher AE was considered as severe. Sequence group was defined as patients who received an anti-PD-(L)1 as last line of treatment before sotorasib initiation and control group as patients who did not receive an anti-PD-(L)1 as last line of treatment before sotorasib initiation. RESULTS: We identified 102 patients who received sotorasib, including 48 (47%) in the sequence group and 54 (53%) in the control group. Patients in the control group received an anti-PD-(L)1 followed by at least one treatment regimen before sotorasib in 87% of the cases or did not receive an anti-PD-(L)1 at any time before sotorasib in 13% of the cases. Severe sotorasib-related AEs were significantly more frequent in the sequence group compared with those in the control group (50% versus 13%, p < 0.001). Severe sotorasib-related AEs occurred in 24 patients (24 of 48, 50%) in the sequence group, and among them 16 (67%) experienced a severe sotorasib-related hepatotoxicity. Severe sotorasib-related hepatotoxicity was threefold more frequent in the sequence group compared with that in the control group (33% versus 11%, p = 0.006). No fatal sotorasib-related hepatotoxicity was reported. Non-liver severe sotorasib-related AEs were significantly more frequent in the sequence group (27% versus 4%, p < 0.001). Severe sotorasib-related AEs typically occurred in patients who received last anti-PD-(L)1 infusion within 30 days before sotorasib initiation. CONCLUSIONS: Sequential anti-PD-(L)1 and sotorasib therapy are associated with a significantly increased risk of severe sotorasib-related hepatotoxicity and severe non-liver AEs. We suggest avoiding starting sotorasib within 30 days from the last anti-PD-(L)1 infusion.


Subject(s)
Antineoplastic Agents, Immunological , Carcinoma, Non-Small-Cell Lung , Chemical and Drug Induced Liver Injury , Drug-Related Side Effects and Adverse Reactions , Lung Neoplasms , Humans , Lung Neoplasms/drug therapy , Lung Neoplasms/genetics , Lung Neoplasms/chemically induced , Proto-Oncogene Proteins p21(ras)/therapeutic use , Retrospective Studies , Ligands , Antineoplastic Agents, Immunological/therapeutic use , Carcinoma, Non-Small-Cell Lung/drug therapy , Carcinoma, Non-Small-Cell Lung/genetics , Carcinoma, Non-Small-Cell Lung/chemically induced , Chemical and Drug Induced Liver Injury/etiology , Cell Death
3.
BMC Mol Cell Biol ; 22(1): 45, 2021 Sep 14.
Article in English | MEDLINE | ID: mdl-34521351

ABSTRACT

BACKGROUND: The crucial role of the major histocompatibility complex (MHC) for the immune response to infectious diseases is well-known, but no information is available on the 3D nuclear organization of this gene-dense region in immune cells, whereas nuclear architecture is known to play an essential role on genome function regulation. We analyzed the spatial arrangement of the three MHC regions (class I, III and II) in macrophages using 3D-FISH. Since this complex presents major differences in humans and pigs with, notably, the presence of the centromere between class III and class II regions in pigs, the analysis was implemented in both species to determine the impact of this organization on the 3D conformation of the MHC. The expression level of the three genes selected to represent each MHC region was assessed by quantitative real-time PCR. Resting and lipopolysaccharide (LPS)-activated states were investigated to ascertain whether a response to a pathogen modifies their expression level and their 3D organization. RESULTS: While the three MHC regions occupy an intermediate radial position in porcine macrophages, the class I region was clearly more peripheral in humans. The BAC center-to-center distances allowed us to propose a 3D nuclear organization of the MHC in each species. LPS/IFNγ activation induces a significant decompaction of the chromatin between class I and class III regions in pigs and between class I and class II regions in humans. We detected a strong overexpression of TNFα (class III region) in both species. Moreover, a single nucleus analysis revealed that the two alleles can have either the same or a different compaction pattern. In addition, macrophage activation leads to an increase in alleles that present a decompacted pattern in humans and pigs. CONCLUSIONS: The data presented demonstrate that: (i) the MHC harbors a different 3D organization in humans and pigs; (ii) LPS/IFNγ activation induces chromatin decompaction, but it is not the same area affected in the two species. These findings were supported by the application of an original computation method based on the geometrical distribution of the three target genes. Finally, the position of the centromere inside the swine MHC could influence chromatin reorganization during the activation process.


Subject(s)
Macrophages , Major Histocompatibility Complex , Animals , Cell Nucleus , Centromere , Humans , Lipopolysaccharides/pharmacology , Major Histocompatibility Complex/genetics , Swine
4.
NPJ Vaccines ; 6(1): 92, 2021 Jul 22.
Article in English | MEDLINE | ID: mdl-34294732

ABSTRACT

This study describes the associations between fecal microbiota and vaccine response variability in pigs, using 98 piglets vaccinated against the influenza A virus at 28 days of age (D28) with a booster at D49. Immune response to the vaccine is measured at D49, D56, D63, and D146 by serum levels of IAV-specific IgG and assays of hemagglutination inhibition (HAI). Analysis of the pre-vaccination microbiota characterized by 16S rRNA gene sequencing of fecal DNA reveals a higher vaccine response in piglets with a richer microbiota, and shows that 23 operational taxonomic units (OTUs) are differentially abundant between high and low IAV-specific IgG producers at D63. A stronger immune response is linked with OTUs assigned to the genus Prevotella and family Muribaculaceae, and a weaker response is linked with OTUs assigned to the genera Helicobacter and Escherichia-Shigella. A set of 81 OTUs accurately predicts IAV-specific IgG and HAI titer levels at all time points, highlighting early and late associations between pre-vaccination fecal microbiota composition and immune response to the vaccine.

5.
Genet Sel Evol ; 53(1): 24, 2021 Mar 18.
Article in English | MEDLINE | ID: mdl-33731010

ABSTRACT

BACKGROUND: The impact of individual genetic and genomic variations on immune responses is an emerging lever investigated in vaccination strategies. In our study, we used genetic and pre-vaccination blood transcriptomic data to study vaccine effectiveness in pigs. RESULTS: A cohort of 182 Large White pigs was vaccinated against Mycoplasma hyopneumoniae (M. hyo) at weaning (28 days of age), with a booster 21 days later. Vaccine response was assessed by measuring seric M. hyo antibodies (Ab) at 0 (vaccination day), 21 (booster day), 28, 35, and 118 days post-vaccination (dpv). Inter-individual variability of M. hyo Ab levels was observed at all time points and the corresponding heritabilities ranged from 0.46 to 0.57. Ab persistence was higher in females than in males. Genome-wide association studies with a 658 K SNP panel revealed two genomic regions associated with variations of M. hyo Ab levels at 21 dpv at positions where immunity-related genes have been mapped, DAB2IP on chromosome 1, and ASAP1, CYRIB and GSDMC on chromosome 4. We studied covariations of Ab responses with the pre-vaccination blood transcriptome obtained by RNA-Seq for a subset of 82 pigs. Weighted gene correlation network and differential expression analyses between pigs that differed in Ab responses highlighted biological functions that were enriched in heme biosynthesis and platelet activation for low response at 21 dpv, innate antiviral immunity and dendritic cells for high response at 28 and 35 dpv, and cell adhesion and extracellular matrix for high response at 118 dpv. Sparse partial least squares discriminant analysis identified 101 genes that efficiently predicted divergent responders at all time points. We found weak negative correlations of M. hyo Ab levels with body weight traits, which revealed a trade-off that needs to be further explored. CONCLUSIONS: We confirmed the influence of the host genetics on vaccine effectiveness to M. hyo and provided evidence that the pre-vaccination blood transcriptome co-varies with the Ab response. Our results highlight that both genetic markers and blood biomarkers could be used as potential predictors of vaccine response levels and more studies are required to assess whether they can be exploited in breeding programs.


Subject(s)
Immunogenicity, Vaccine , Pneumonia of Swine, Mycoplasmal/genetics , Polymorphism, Single Nucleotide , Swine/genetics , Transcriptome , Animals , Antibodies/blood , Antibodies/genetics , Antibodies/immunology , Female , Heme/metabolism , Immunity, Innate , Male , Mycoplasma hyopneumoniae/immunology , Platelet Activation , Pneumonia of Swine, Mycoplasmal/immunology , Pneumonia of Swine, Mycoplasmal/prevention & control , Swine/immunology , Vaccination/veterinary
6.
Acta Biomater ; 123: 123-153, 2021 03 15.
Article in English | MEDLINE | ID: mdl-33359868

ABSTRACT

The field of bone tissue engineering (BTE) focuses on the repair of bone defects that are too large to be restored by the natural healing process. To that purpose, synthetic materials mimicking the natural bone extracellular matrix (ECM) are widely studied and many combinations of compositions and architectures are possible. In particular, the electrospinning process can reproduce the fibrillar structure of bone ECM by stretching a viscoelastic solution under an electrical field. With this method, nano/micrometer-sized fibres can be produced, with an adjustable chemical composition. Therefore, by shaping bioactive ceramics such as silica, bioactive glasses and calcium phosphates through electrospinning, promising properties for their use in BTE can be obtained. This review focuses on the in situ synthesis and simultaneous electrospinning of bioceramic-based fibres while the reasons for using each material are correlated with its bioactivity. Theoretical and practical considerations for the synthesis and electrospinning of these materials are developed. Finally, investigations into the in vitro and in vivo bioactivity of different systems using such inorganic fibres are exposed.


Subject(s)
Silicon Dioxide , Tissue Engineering , Bone and Bones , Calcium Phosphates , Ceramics
7.
Microorganisms ; 8(8)2020 Jul 29.
Article in English | MEDLINE | ID: mdl-32751315

ABSTRACT

The gut microbiota comprises a large and diverse community of bacteria that play a significant role in swine health. Indeed, there is a tight association between the enteric immune system and the overall composition and richness of the microbiota, which is key in the induction, training and function of the host immunity, and may therefore, influence the immune response to vaccination. Using vaccination against Mycoplasma hyopneumoniae (M. hyo) as a model, we investigated the potential of early-life gut microbiota in predicting vaccine response and explored the post-vaccination dynamics of fecal microbiota at later time points. At 28 days of age (0 days post-vaccination; dpv), healthy piglets were vaccinated, and a booster vaccine was administered at 21 dpv. Blood samples were collected at 0, 21, 28, 35, and 118 dpv to measure M. hyo-specific IgG levels. Fecal samples for 16S rRNA gene amplicon sequencing were collected at 0, 21, 35, and 118 dpv. The results showed variability in antibody response among individual pigs, whilst pre-vaccination operational taxonomic units (OTUs) primarily belonging to Prevotella, [Prevotella], Anaerovibrio, and Sutterella appeared to best-predict vaccine response. Microbiota composition did not differ between the vaccinated and non-vaccinated pigs at post-vaccination time points, but the time effect was significant irrespective of the animals' vaccination status. Our study provides insight into the role of pre-vaccination gut microbiota composition in vaccine response and emphasizes the importance of studies on full metagenomes and microbial metabolites aimed at deciphering the role of specific bacteria and bacterial genes in the modulation of vaccine response.

8.
Sci Rep ; 10(1): 234, 2020 01 14.
Article in English | MEDLINE | ID: mdl-31937803

ABSTRACT

Minipigs are a group of small-sized swine lines, which show a broad range of phenotype variation and which often tend to be obese. The SLAdd (DD) minipig line was created by the NIH and selected as homozygous at the SLA locus. It was brought to France more than 30 years ago and maintained inbred ever since. In this report, we characterized the physiological status of a herd of French DD pigs by measuring intermediate phenotypes from blood and faeces and by using Large White (LW) pigs as controls. Three datasets were produced, i.e. complete blood counts (CBCs), microarray-based blood transcriptome, and faecal microbiota obtained by 16S rRNA sequencing. CBCs and expression profiles suggested a non-alcoholic fatty liver disease (NAFLD)-related pathology associated to comorbid cardiac diseases. The characterization of 16S sequencing data was less straightforward, suggesting only a potential weak link to obesity. The integration of the datasets identified several fine-scale associations between CBCs, gene expression, and faecal microbiota composition. NAFLD is a common cause of chronic liver disease in Western countries and is linked to obesity, type 2 diabetes mellitus and cardiac pathologies. Here we show that the French DD herd is potentially affected by this syndrome.


Subject(s)
Gastrointestinal Microbiome , Gene Expression Profiling , Non-alcoholic Fatty Liver Disease/blood , Non-alcoholic Fatty Liver Disease/microbiology , Animals , Feces/microbiology , Non-alcoholic Fatty Liver Disease/genetics , Phenotype , Swine , Swine, Miniature
9.
Anim Microbiome ; 2(1): 2, 2020 Jan 16.
Article in English | MEDLINE | ID: mdl-33499995

ABSTRACT

BACKGROUND: In pig production systems, weaning is a crucial period characterized by nutritional, environmental, and social stresses. Piglets transition from a milk-based diet to a solid, more complex plant-based diet, and their gut physiology must adapt accordingly. It is well established that piglets weaned later display improved health, better wean-to-finish growth performance, and lower mortality rates. The aim of this study was to evaluate the impact of weaning age on fecal microbiota diversity and composition in piglets. Forty-eight Large White piglets were divided into 4 groups of 12 animals that were weaned at different ages: 14 days (early weaning), 21 days (a common weaning age in intensive pig farming), 28 days (idem), and 42 days (late weaning). Microbiota composition was assessed in each group by sequencing the 16S rRNA gene using fecal samples taken on the day of weaning, 7 days later, and at 60 days of age. RESULTS: In each group, there were significant differences in fecal microbiota composition before and after weaning (p < 0.05), confirming that weaning can drastically change the gut microbiota. Microbiota diversity was positively correlated with weaning age: microbial alpha diversity and richness were higher in piglets weaned at 42 days of age both on the day of weaning and 7 days later. The abundance of Faecalibacterium prausnitzii operational taxonomic units (OTUs) was also higher in piglets weaned at 42 days of age. CONCLUSIONS: Overall, these results show that late weaning increased gut microbiota diversity and the abundance of F. prausnitzii, a microorganism with positive effects in humans. Piglets might thus derive a competitive advantage from later weaning because they have more time to accumulate a higher diversity of potentially beneficial microbes prior to the stressful and risky weaning period.

10.
Annu Rev Anim Biosci ; 8: 171-198, 2020 02 15.
Article in English | MEDLINE | ID: mdl-31846353

ABSTRACT

In pigs, the major histocompatibility complex (MHC), or swine leukocyte antigen (SLA) complex, maps to Sus scrofa chromosome 7. It consists of three regions, the class I and class III regions mapping to 7p1.1 and the class II region mapping to 7q1.1. The swine MHC is divided by the centromere, which is unique among mammals studied to date. The SLA complexspans between 2.4 and 2.7 Mb, depending on haplotype, and encodes approximately 150 loci, with at least 120 genes predicted to be functional. Here we update the whole SLA complex based on the Sscrofa11.1 build and annotate the organization for all recognized SLA genes and their allelic sequences. We present SLA nomenclature and typing methods and discuss the expression of SLA proteins, as well as their role in antigen presentation and immune, disease, and vaccine responses. Finally, we explore the role of SLA genes in transplantation and xenotransplantation and their importance in swine biomedical models.


Subject(s)
Histocompatibility Antigens Class I/genetics , Histocompatibility Antigens Class I/immunology , Swine/immunology , Animals , Gene Expression Regulation , Models, Animal , Swine/genetics , Swine Diseases/immunology , Transplants/immunology
11.
J Anim Breed Genet ; 137(1): 60-72, 2020 Jan.
Article in English | MEDLINE | ID: mdl-31482656

ABSTRACT

Enterotoxigenic Escherichia coli (ETEC) is the aetiological agent of postweaning diarrhoea (PWD) in piglets. The SNPs located on the Mucine 4 (MUC4) and Fucosyltransferase 1 (FUT1) genes have been associated with the susceptibility to ETEC F4 and ETEC F18, respectively. The interplay between the MUC4 and FUT1 genotypes to ETEC infection and the use of amoxicillin in modifying the intestinal microbiota during a natural infection by multiresistant ETEC strains have never been investigated. The aim of this study was to evaluate the effects of the MUC4 and FUT1 genotypes and the administration of amoxicillin through different routes on the presence of diarrhoea and the faecal microbiota composition in piglets naturally infected with ETEC. Seventy-one piglets were divided into three groups: two groups differing by amoxicillin administration routes-parenteral (P) or oral (O) and a control group without antibiotics (C). Faecal scores, body weight, presence of ETEC F4 and F18 were investigated 4 days after the arrival in the facility (T0), at the end of the amoxicillin administration (T1) and after the withdrawal period (T2). The faecal bacteria composition was assessed by sequencing the 16S rRNA gene. We described that MUC4 and FUT1 genotypes were associated with the presence of ETEC F4 and ETEC F18. The faecal microbiota was influenced by the MUC4 genotypes at T0. We found the oral administration to be associated with the presence of diarrhoea at T1 and T2. Furthermore, the exposure to amoxicillin resulted in significant alterations of the faecal microbiota. Overall, MUC4 and FUT1 were confirmed as genetic markers for the susceptibility to ETEC infections in pigs. Moreover, our data highlight that group amoxicillin treatment may produce adverse outcomes on pig health in course of multiresistant ETEC infection. Therefore, alternative control measures able to maintain a healthy faecal microbiota in weaners are recommended.


Subject(s)
Amoxicillin/pharmacology , Diarrhea/genetics , Escherichia coli Infections/complications , Feces/microbiology , Genotype , Microbiota , Swine/microbiology , Amoxicillin/administration & dosage , Amoxicillin/therapeutic use , Animals , DNA, Bacterial/genetics , Diarrhea/complications , Diarrhea/drug therapy , Diarrhea/microbiology , Enterotoxigenic Escherichia coli/physiology , Polymorphism, Single Nucleotide , Swine/genetics , Weaning
12.
Materials (Basel) ; 12(19)2019 10 04.
Article in English | MEDLINE | ID: mdl-31590255

ABSTRACT

The European Commission's recommendation on the definition of nanomaterial (2011/696/EU) established an applicable standard for material categorization. However, manufacturers face regulatory challenges during registration of their products. Reliable categorization is difficult and requires considerable expertise in existing measurement techniques (MTs). Additionally, organizational complexity is increased as different authorities' registration processes require distinct reporting. The NanoDefine project tackled these obstacles by providing the NanoDefiner e-tool: A decision support expert system for nanomaterial identification in a regulatory context. It provides MT recommendations for categorization of specific materials using a tiered approach (screening/confirmatory), and was constructed with experts from academia and industry to be extensible, interoperable, and adaptable for forthcoming revisions of the nanomaterial definition. An implemented MT-driven material categorization scheme allows detailed description. Its guided workflow is suitable for a variety of user groups. Direct feedback and explanation enable transparent decisions. Expert knowledge is held in a knowledge base for representation of MT performance criteria and physicochemical particle type properties. Continuous revision ensured data quality and validity. Recommendations were validated by independent case studies on industry-relevant particulate materials. Besides supporting material identification and registration, the free and open-source e-tool may serve as template for other expert systems within the nanoscience domain.

13.
Vaccine ; 37(13): 1743-1755, 2019 03 22.
Article in English | MEDLINE | ID: mdl-30808565

ABSTRACT

We investigated gene expression patterns in whole blood and fecal microbiota profile as potential predictors of immune response to vaccination, using healthy M. hyopneumoniae infection free piglets (n = 120). Eighty piglets received a dose of prophylactic antibiotics during the first two days of life, whereas the remaining 40 did not. Blood samples for RNA-Seq analysis were collected on experimental Day 0 (D0; 28 days of age) just prior to vaccination, D2, and D6 post-vaccination. A booster vaccine was given at D24. Fecal samples for microbial 16SrRNA sequencing were collected at 7 days of age, and at D0 and D35 post-vaccination. Pigs were ranked based on the levels of M. hyopneumoniae-specific antibodies in serum samples collected at D35, and groups of 'high' (HR) and 'low' (LR) responder pigs (n = 15 each) were selected. Prophylactic antibiotics did not influence antibody titer levels and differential expression analysis did not reveal differences between HR and LR at any time-point (FDR > 0.05); however, based on functional annotation with Ingenuity Pathway Analysis, D2 post-vaccination, HR pigs were enriched for biological terms relating to increased activation of immune cells. In contrast, the immune activation decreased in HR, 6 days post-vaccination. No significant differences were observed prior to vaccination (D0). Two days post-vaccination, multivariate analysis revealed that ADAM8, PROSER3, B4GALNT1, MAP7D1, SPP1, HTRA4, and ENO3 genes were the most promising potential biomarkers. At D0, OTUs annotated to Prevotella, CF21, Bacteroidales and S24-7 were more abundant in HR, whereas Fibrobacter, Paraprevotella, Anaerovibrio, [Prevotella], YRC22, and Helicobacter positively correlated with the antibody titer as well as MYL1, SPP1, and ENO3 genes. Our study integrates gene differential expression and gut microbiota to predict vaccine response in pigs. The results indicate that post-vaccination gene-expression and early-life gut microbiota profile could potentially predict vaccine response in pigs, and inform a direction for future research.


Subject(s)
Bacterial Vaccines/immunology , Feces/microbiology , Gastrointestinal Microbiome , Gene Expression Profiling , Mycoplasma hyopneumoniae/immunology , Pneumonia of Swine, Mycoplasmal/prevention & control , Transcriptome , Animals , Bacterial Vaccines/administration & dosage , Swine , Vaccination
14.
Nanoscale Adv ; 1(2): 781-791, 2019 Feb 12.
Article in English | MEDLINE | ID: mdl-36132245

ABSTRACT

Worldwide there is a variety of regulatory provisions addressing nanomaterials. The identification as nanomaterial in a regulatory context often has the consequence that specific legal rules apply. In identifying nanomaterials, and to find out whether nanomaterial-specific provisions apply, the external size of particles is globally used as a criterion. For legal certainty, its assessment for regulatory purposes should be based on measurements and methods that are robust, fit for the purpose and ready to be accepted by different stakeholders and authorities. This should help to assure the safety of nanomaterials and at the same time facilitate their international trading. Therefore, we propose a categorisation scheme which is driven by the capabilities of common characterisation techniques for particle size measurement. Categorising materials according to this scheme takes into account the particle properties that are most important for a determination of their size. The categorisation is exemplified for the specific particle number based size metric of the European Commission's recommendation on the definition of nanomaterial, but it is applicable to other metrics as well. Matching the performance profiles of the measurement techniques with the material property profiles (i) allows selecting the most appropriate size determination technique for every type of material considered, (ii) enables proper identification of nanomaterials, and (iii) has the potential to be accepted by regulators, industry and consumers alike. Having such a scheme in place would facilitate the regulatory assessment of nanomaterials in regional legislation as well as in international relations between different regulatory regions assuring the safe trade of nanomaterials.

15.
Soins ; 63(831): 36-39, 2018 Dec.
Article in French | MEDLINE | ID: mdl-30551752

ABSTRACT

Intimacy, situated in time and space and dependent on material conditions, is a recent subject of study in social sciences. It constitutes a category of analysis which provides information on the power relationships running through it. The right to intimacy, seized upon by vulnerable populations, then enables certain practices to be claimed and politicized.


Subject(s)
Interpersonal Relations , Social Sciences , Humans , Nurse-Patient Relations
16.
Immunogenetics ; 70(6): 401-417, 2018 06.
Article in English | MEDLINE | ID: mdl-29256177

ABSTRACT

The major histocompatibility complex (MHC) is a key genomic model region for understanding the evolution of gene families and the co-evolution between host and pathogen. To date, MHC studies have mostly focused on species from major vertebrate lineages. The evolution of MHC classical (Ia) and non-classical (Ib) genes in pigs has attracted interest because of their antigen presentation roles as part of the adaptive immune system. The pig family Suidae comprises over 18 extant species (mostly wild), but only the domestic pig has been extensively sequenced and annotated. To address this, we used a DNA-capture approach, with probes designed from the domestic pig genome, to generate MHC data for 11 wild species of pigs and their closest living family, Tayassuidae. The approach showed good efficiency for wild pigs (~80% reads mapped, ~87× coverage), compared to tayassuids (~12% reads mapped, ~4× coverage). We retrieved 145 MHC loci across both families. Phylogenetic analyses show that the class Ia and Ib genes underwent multiple duplications and diversifications before suids and tayassuids diverged from their common ancestor. The histocompatibility genes mostly form orthologous groups and there is genetic differentiation for most of these genes between Eurasian and sub-Saharan African wild pigs. Tests of selection showed that the peptide-binding region of class Ib genes was under positive selection. These findings contribute to better understanding of the evolutionary history of the MHC, specifically, the class I genes, and provide useful data for investigating the immune response of wild populations against pathogens.


Subject(s)
Artiodactyla/genetics , Major Histocompatibility Complex/genetics , Swine/genetics , Animals , Base Sequence , Biological Evolution , Comparative Genomic Hybridization/methods , Evolution, Molecular , Genes, MHC Class I , Genome , Phylogeny , Sequence Analysis, DNA/methods
17.
Nat Microbiol ; 1: 16161, 2016 Sep 19.
Article in English | MEDLINE | ID: mdl-27643971

ABSTRACT

The pig is a major species for livestock production and is also extensively used as the preferred model species for analyses of a wide range of human physiological functions and diseases1. The importance of the gut microbiota in complementing the physiology and genome of the host is now well recognized2. Knowledge of the functional interplay between the gut microbiota and host physiology in humans has been advanced by the human gut reference catalogue3,4. Thus, establishment of a comprehensive pig gut microbiome gene reference catalogue constitutes a logical continuation of the recently published pig genome5. By deep metagenome sequencing of faecal DNA from 287 pigs, we identified 7.7 million non-redundant genes representing 719 metagenomic species. Of the functional pathways found in the human catalogue, 96% are present in the pig catalogue, supporting the potential use of pigs for biomedical research. We show that sex, age and host genetics are likely to influence the pig gut microbiome. Analysis of the prevalence of antibiotic resistance genes demonstrated the effect of eliminating antibiotics from animal diets and thereby reducing the risk of spreading antibiotic resistance associated with farming systems.

18.
ISME J ; 10(12): 2973-2977, 2016 12.
Article in English | MEDLINE | ID: mdl-27177190

ABSTRACT

The ecological interactions within the gut microbial communities are complex and far from being fully understood. Here we report the first study that aims at defining the interaction network of the gut microbiota in pigs and comparing it with the enterotype-like clustering analysis. Fecal microbiota of 518 healthy piglets was characterized by 16S ribosomal RNA gene sequencing. Two networks were constructed at the genus and operational taxonomic unit levels. Within-network interactions mirrored the human gut microbiota relationships, with a strong co-exclusion between Prevotella and Ruminococcus genera, and were consistent with the two enterotype-like clusters identified in the pig microbiota. Remarkably, the cluster classification of the individuals was significantly associated with the body weight at 60 days of age (P=0.005) and average daily gain (P=0.027). To the best of our knowledge, this is the first study to provide an integrated overview of the porcine gut microbiota that suggests a conservation of the ecological community interactions and functional architecture between humans and pig. Moreover, we show that the microbial ecosystems and porcine growth traits are linked, which allows us to foresee that the enterotype concept may have an important role in the animal production industry.


Subject(s)
Bacteria/isolation & purification , Gastrointestinal Microbiome , Phylogeny , Swine/growth & development , Swine/microbiology , Animals , Bacteria/classification , Bacteria/genetics , Bacteria/metabolism , Biota , Cluster Analysis , Feces/microbiology , Humans , RNA, Ribosomal, 16S/genetics , Swine/metabolism
19.
PLoS One ; 10(3): e0119368, 2015.
Article in English | MEDLINE | ID: mdl-25799010

ABSTRACT

DNA hemicatenanes, one of the simplest possible junctions between two double stranded DNA molecules, have frequently been mentioned in the literature for their possible function in DNA replication, recombination, repair, and organization in chromosomes. They have been little studied experimentally, however, due to the lack of an appropriate method for their preparation. Here we have designed a method to build hemicatenanes from two small circular DNA molecules. The method involves, first, the assembly of two linear single strands and their circularization to form a catenane of two single stranded circles, and, second, the addition and base-pairing of the two single stranded circles complementary to the first ones, followed by their annealing using DNA topoisomerase I. The product was purified by gel electrophoresis and characterized. The arrangement of strands was as expected for a hemicatenane and clearly distinct from a full catenane. In addition, each circle was unwound by an average of half a double helical turn, also in excellent agreement with the structure of a hemicatenane. It was also observed that hemicatenanes are quickly destabilized by a single cut on either of the two strands passing inside the junction, strongly suggesting that DNA strands are able to slide easily inside the hemicatenane. This method should make it possible to study the biochemical properties of hemicatenanes and to test some of the hypotheses that have been proposed about their function, including a possible role for this structure in the organization of complex genomes in loops and chromosomal domains.


Subject(s)
DNA, Circular/chemistry , Drug Design , Nucleic Acid Conformation , DNA Topoisomerases, Type I/metabolism , DNA, Circular/metabolism , DNA, Single-Stranded/chemistry , DNA, Single-Stranded/metabolism , Nucleic Acid Hybridization
20.
Environ Microbiol Rep ; 7(3): 554-69, 2015 Jun.
Article in English | MEDLINE | ID: mdl-25727666

ABSTRACT

Early bacterial colonization and succession within the gastrointestinal tract has been suggested to be crucial in the establishment of specific microbiota composition and the shaping of host phenotype. Here, the composition and dynamics of faecal microbiomes were studied for 31 healthy piglets across five age strata (days 14, 36, 48, 60 and 70 after birth) together with their mothers. Faecal microbiome composition was assessed by 16S rRNA gene 454-pyrosequencing. Bacteroidetes and Firmicutes were the predominant phyla present at each age. For all piglets, luminal secretory IgA concentration was measured at day 70, and body weight was recorded until day 70. The microbiota of suckling piglets was mainly represented by Bacteroides, Oscillibacter, Escherichia/Shigella, Lactobacillus and unclassified Ruminococcaceae genera. This pattern contrasted with that of Acetivibrio, Dialister, Oribacterium, Succinivibrio and Prevotella genera, which appeared increased after weaning. Lactobacillus fermentum might be vertically transferred via breast milk or faeces. The microbiota composition coevolved with their hosts towards two different clusters after weaning, primarily distinguished by unclassified Ruminococcaceae and Prevotella abundances. Prevotella was positively correlated with luminal secretory IgA concentrations, and body weight. Our study opens up new possibilities for health and feed efficiency manipulation via genetic selection and nutrition in the agricultural domain.


Subject(s)
Bacteria/classification , Bacteria/genetics , Gastrointestinal Microbiome , Gastrointestinal Tract/microbiology , Aging , Animals , Body Weight , Cluster Analysis , DNA, Bacterial/chemistry , DNA, Bacterial/genetics , DNA, Ribosomal/chemistry , DNA, Ribosomal/genetics , Gastrointestinal Tract/physiology , Immunoglobulin A, Secretory/analysis , Intestinal Mucosa/immunology , Molecular Sequence Data , Phylogeny , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA , Swine
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