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1.
Environ Toxicol Pharmacol ; 105: 104342, 2024 Jan.
Article in English | MEDLINE | ID: mdl-38092246

ABSTRACT

Our previous studies have shown that CyanoHAB LPS (lipopolysaccharides) and LPS from cyanobacterial cultures induce pro-inflammatory effects on intestinal epithelial and immune cells in vitro. To expand our understanding, we investigated their impact on human keratinocytes, which are targeted during water recreational activities. LPS samples were isolated from CyanoHAB biomasses dominated by Microcystis, Aphanizomenon, Planktothrix, and Dolichospermum, or from axenic cultures of these genera. We identified two CyanoHAB biomasses containing a high proportion of Gram-negative bacteria, including potentially pathogenic genera. These biomasses showed the highest induction of interleukin (IL) 8, IL-6, C-C motif chemokine ligand (CCL) 2 (also known as MCP-1), and CCL20 production by HaCaT cells. Interestingly, all CyanoHAB-derived LPS and LPS from axenic cultures (except for Microcystis) accelerated cell proliferation and migration. Our findings highlight the role of G- bacteria composition and LPS structural disparities in influencing these effects, with implications for skin health during recreational activities.


Subject(s)
Cyanobacteria , Microcystis , Humans , Lipopolysaccharides/toxicity , Cyanobacteria/chemistry , Skin , Keratinocytes , Lakes
2.
Vet Res Commun ; 48(2): 725-741, 2024 Apr.
Article in English | MEDLINE | ID: mdl-37874499

ABSTRACT

Toll-like receptors (TLRs) represent an important part of the innate immune system. While human and murine TLRs have been intensively studied, little is known about TLRs in non-model species. The order Perissodactyla comprises a variety of free-living and domesticated species exposed to different pathogens in different habitats and is therefore suitable for analyzing the diversity and evolution of immunity-related genes. We analyzed TLR genes in the order Perissodactyla with a focus on the family Equidae. Twelve TLRs were identified by bioinformatic analyses of online genomic resources; their sequences were confirmed in equids by genomic DNA re-sequencing of a panel of nine species. The expression of TLR11 and TLR12 was confirmed in the domestic horse by cDNA sequencing. Phylogenetic reconstruction of the TLR gene family in Perissodactyla identified six sub-families. TLR4 clustered together with TLR5; the TLR1-6-10 subfamily showed a high degree of sequence identity. The average estimated evolutionary divergence of all twelve TLRs studied was 0.3% among the Equidae; the most divergent CDS were those of Equus caballus and Equus hemionus kulan (1.34%) in the TLR3, and Equus africanus somaliensis and Equus quagga antiquorum (2.1%) in the TLR1 protein. In each TLR gene, there were haplotypes shared between equid species, most extensively in TLR3 and TLR9 CDS, and TLR6 amino acid sequence. All twelve TLR genes were under strong negative overall selection. Signatures of diversifying selection in specific codon sites were detected in all TLRs except TLR8. Differences in the selection patterns between virus-sensing and non-viral TLRs were observed.


Subject(s)
Toll-Like Receptor 1 , Toll-Like Receptor 3 , Mice , Humans , Horses/genetics , Animals , Toll-Like Receptor 1/genetics , Phylogeny , Toll-Like Receptors/genetics , Toll-Like Receptors/metabolism , Genomics , Equidae , Perissodactyla/metabolism
3.
Nutr Diabetes ; 13(1): 7, 2023 04 21.
Article in English | MEDLINE | ID: mdl-37085526

ABSTRACT

AIM: The metabolic performance of the gut microbiota contributes to the onset of type 2 diabetes. However, targeted dietary interventions are limited by the highly variable inter-individual response. We hypothesized (1) that the composition of the complex gut microbiome and metabolome (MIME) differ across metabolic spectra (lean-obese-diabetes); (2) that specific MIME patterns could explain the differential responses to dietary inulin; and (3) that the response can be predicted based on baseline MIME signature and clinical characteristics. METHOD: Forty-nine patients with newly diagnosed pre/diabetes (DM), 66 metabolically healthy overweight/obese (OB), and 32 healthy lean (LH) volunteers were compared in a cross-sectional case-control study integrating clinical variables, dietary intake, gut microbiome, and fecal/serum metabolomes (16 S rRNA sequencing, metabolomics profiling). Subsequently, 27 DM were recruited for a predictive study: 3 months of dietary inulin (10 g/day) intervention. RESULTS: MIME composition was different between groups. While the DM and LH groups represented opposite poles of the abundance spectrum, OB was closer to DM. Inulin supplementation was associated with an overall improvement in glycemic indices, though the response was very variable, with a shift in microbiome composition toward a more favorable profile and increased serum butyric and propionic acid concentrations. The improved glycemic outcomes of inulin treatment were dependent on better baseline glycemic status and variables related to the gut microbiota, including the abundance of certain bacterial taxa (i.e., Blautia, Eubacterium halii group, Lachnoclostridium, Ruminiclostridium, Dialister, or Phascolarctobacterium), serum concentrations of branched-chain amino acid derivatives and asparagine, and fecal concentrations of indole and several other volatile organic compounds. CONCLUSION: We demonstrated that obesity is a stronger determinant of different MIME patterns than impaired glucose metabolism. The large inter-individual variability in the metabolic effects of dietary inulin was explained by differences in baseline glycemic status and MIME signatures. These could be further validated to personalize nutritional interventions in patients with newly diagnosed diabetes.


Subject(s)
Diabetes Mellitus, Type 2 , Inulin , Humans , Inulin/metabolism , Inulin/pharmacology , Case-Control Studies , Cross-Sectional Studies , Multiomics , Obesity/metabolism , Overweight/metabolism
4.
HLA ; 90(6): 343-353, 2017 12.
Article in English | MEDLINE | ID: mdl-28892257

ABSTRACT

Morbilliviruses, such as Cetacean morbillivirus (CeMV) or Phocine distemper virus (PDV), represent a growing threat for marine mammals on both hemispheres. Because free-ranging animal populations strongly rely on natural resistance mechanisms, innate immunity-related genes and virus cell entry receptor genes may represent key factors involved in susceptibility to CeMV in Cetaceans. Using the next generation sequencing technology, we have sequenced 11 candidate genes in two model species, Stenella coeruleoalba and Phocoena phocoena. Suitable single nucleotide polymorphism markers of potential functional importance, located in genes coding for basigin (BSG, CD147), the signaling lymphocyte activating molecule (SLAMF1), the poliovirus-related receptor-4 (NECTIN4, PVRL4), toll-like receptors 3, 7, 8 (TLR3, TLR7, TLR8), natural resistance-associated macrophage protein (SLC11A1) and natural cytotoxicity triggering receptor 1 (NCR1), were identified in each model species, along with MHC-DQB haplotypes unique for each species. This set of molecular markers represents a potentially useful tool for studying host genetic variation and susceptibility to morbillivirus infection in Cetaceans as well as for studying functionally important genetic diversity of selected Cetacean populations.


Subject(s)
Genetic Predisposition to Disease , Morbillivirus Infections/genetics , Morbillivirus/immunology , Phocoena/genetics , Polymorphism, Single Nucleotide , Stenella/genetics , Animals , Basigin/genetics , Basigin/immunology , Biomarkers/metabolism , Cation Transport Proteins/genetics , Cation Transport Proteins/immunology , Cell Adhesion Molecules/genetics , Cell Adhesion Molecules/immunology , Gene Expression , Histocompatibility Antigens Class II/genetics , Histocompatibility Antigens Class II/immunology , Morbillivirus/pathogenicity , Morbillivirus Infections/immunology , Morbillivirus Infections/virology , Natural Cytotoxicity Triggering Receptor 1/genetics , Natural Cytotoxicity Triggering Receptor 1/immunology , Phocoena/immunology , Phocoena/virology , Signaling Lymphocytic Activation Molecule Family Member 1/genetics , Signaling Lymphocytic Activation Molecule Family Member 1/immunology , Stenella/immunology , Stenella/virology , Toll-Like Receptor 3/genetics , Toll-Like Receptor 3/immunology , Toll-Like Receptor 7/genetics , Toll-Like Receptor 7/immunology , Toll-Like Receptor 8/genetics , Toll-Like Receptor 8/immunology
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