| 1. |
- Belles, A., et al.
(författare)
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Lactoferrin modulates gut microbiota and Toll-like receptors (TLRs) in mice with dysbiosis induced by antibiotics
- 2022
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Ingår i: Food & Function. - : Royal Society of Chemistry (RSC). - 2042-6496 .- 2042-650X. ; 13, s. 5854-5869
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Tidskriftsartikel (refereegranskat)abstract
- Background: Antibiotic administration can result in gut microbiota and immune system alterations that impact health. Bovine lactoferrin is a milk protein with anticancer, anti-inflammatory, antimicrobial and immune modulatory activities. The aim was to study the ability of native and iron-saturated lactoferrin to reverse the effects of clindamycin on gut microbiota and intestinal Toll-like receptor (TLR) expression in a murine model. Methods: Male C57BL/6 mice were treated with vehicle, clindamycin (Clin), native bovine lactoferrin (nLf), nLf + clindamycin (nLf_Clin), iron-saturated bovine lactoferrin (sLf) and sLf + clindamycin (sLf_Clin). Fecal samples of each group were collected, and bacterial DNA was extracted. Sequencing of 16s rRNA V4 hypervariable gene regions was conducted to assess the microbial composition. mRNA expression levels of TLRs (1-9) were determined in mouse colon by qPCR. Pearson's correlation test was carried out between bacteria showing differences in abundance among samples and TLR2, TLR8 and TLR9. Results: Beta-diversity analysis showed that the microbial community of the vehicle was different from the communities of Clin, nLf_Clin and sLf_Clin. At the family level, Bacteroidaceae, Prevotellaceae and Rikenellaceae decreased in the Clin group, and treatment with nLf or sLf reverted these effects. Clin reduced the expression of TLR2, TLR8 and TLR9 and sLf reverted the decrease in the expression of these receptors. Finally, TLR8 was positively correlated with Rikenellaceae abundance. Conclusion: In a situation of intestinal dysbiosis induced by clindamycin, lactoferrin restores the normal levels of some anti-inflammatory bacteria and TLRs and, therefore, could be a good ingredient to be added to functional foods.
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| 2. |
- Inda Diaz, Juan Salvador, 1984, et al.
(författare)
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Latent antibiotic resistance genes are abundant, diverse, and mobile in human, animal, and environmental microbiomes
- 2023
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Ingår i: Microbiome. - : Springer Science and Business Media LLC. - 2049-2618. ; 11:1, s. 44-
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Bacterial communities in humans, animals, and the external environment maintain a large collection of antibiotic resistance genes (ARGs). However, few of these ARGs are well-characterized and thus established in existing resistance gene databases. In contrast, the remaining latent ARGs are typically unknown and overlooked in most sequencing-based studies. Our view of the resistome and its diversity is therefore incomplete, which hampers our ability to assess risk for promotion and spread of yet undiscovered resistance determinants. RESULTS: A reference database consisting of both established and latent ARGs (ARGs not present in current resistance gene repositories) was created. By analyzing more than 10,000 metagenomic samples, we showed that latent ARGs were more abundant and diverse than established ARGs in all studied environments, including the human- and animal-associated microbiomes. The pan-resistomes, i.e., all ARGs present in an environment, were heavily dominated by latent ARGs. In comparison, the core-resistome, i.e., ARGs that were commonly encountered, comprised both latent and established ARGs. We identified several latent ARGs shared between environments and/or present in human pathogens. Context analysis of these genes showed that they were located on mobile genetic elements, including conjugative elements. We, furthermore, identified that wastewater microbiomes had a surprisingly large pan- and core-resistome, which makes it a potentially high-risk environment for the mobilization and promotion of latent ARGs. CONCLUSIONS: Our results show that latent ARGs are ubiquitously present in all environments and constitute a diverse reservoir from which new resistance determinants can be recruited to pathogens. Several latent ARGs already had high mobile potential and were present in human pathogens, suggesting that they may constitute emerging threats to human health. We conclude that the full resistome-including both latent and established ARGs-needs to be considered to properly assess the risks associated with antibiotic selection pressures. Video Abstract.
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| 3. |
- Lund, David, 1994, et al.
(författare)
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Extensive screening reveals previously undiscovered aminoglycoside resistance genes in human pathogens
- 2023
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Ingår i: Communications Biology. - 2399-3642. ; 6:1
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Tidskriftsartikel (refereegranskat)abstract
- Antibiotic resistance is a growing threat to human health, caused in part by pathogens accumulating antibiotic resistance genes (ARGs) through horizontal gene transfer. New ARGs are typically not recognized until they have become widely disseminated, which limits our ability to reduce their spread. In this study, we use large-scale computational screening of bacterial genomes to identify previously undiscovered mobile ARGs in pathogens. From ~1 million genomes, we predict 1,071,815 genes encoding 34,053 unique aminoglycoside-modifying enzymes (AMEs). These cluster into 7,612 families (<70% amino acid identity) of which 88 are previously described. Fifty new AME families are associated with mobile genetic elements and pathogenic hosts. From these, 24 of 28 experimentally tested AMEs confer resistance to aminoglycoside(s) in Escherichia coli, with 17 providing resistance above clinical breakpoints. This study greatly expands the range of clinically relevant aminoglycoside resistance determinants and demonstrates that computational methods enable early discovery of potentially emerging ARGs.
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| 4. |
- Lund, David, 1994, et al.
(författare)
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Large-scale characterization of the macrolide resistome reveals high diversity and several new pathogen-associated genes
- 2022
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Ingår i: Microbial Genomics. - : Microbiology Society. - 2057-5858. ; 8:1
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Tidskriftsartikel (refereegranskat)abstract
- Macrolides are broad-spectrum antibiotics used to treat a range of infections. Resistance to macrolides is often conferred by mobile resistance genes encoding Erm methyltransferases or Mph phosphotransferases. New erm and mph genes keep being discovered in clinical settings but their origins remain unknown, as is the type of macrolide resistance genes that will appear in the future. In this study, we used optimized hidden Markov models to characterize the macrolide resistome. Over 16 terabases of genomic and metagenomic data, representing a large taxonomic diversity (11 030 species) and diverse environments (1944 metagenomic samples), were searched for the presence of erm and mph genes. From this data, we predicted 28 340 macrolide resistance genes encoding 2892 unique protein sequences, which were clustered into 663 gene families (<70 % amino acid identity), of which 619 (94 %) were previously uncharacterized. This included six new resistance gene families, which were located on mobile genetic elements in pathogens. The function of ten predicted new resistance genes were experimentally validated in Escherichia coli using a growth assay. Among the ten tested genes, seven conferred increased resistance to erythromycin, with five genes additionally conferring increased resistance to azithromycin, showing that our models can be used to predict new functional resistance genes. Our analysis also showed that macrolide resistance genes have diverse origins and have transferred horizontally over large phylogenetic distances into human pathogens. This study expands the known macrolide resistome more than ten-fold, provides insights into its evolution, and demonstrates how computational screening can identify new resistance genes before they become a significant clinical problem.
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| 5. |
- Mancebo, Francisco J., et al.
(författare)
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Deciphering the Potential Coding of Human Cytomegalovirus: New Predicted Transmembrane Proteome
- 2022
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Ingår i: International Journal of Molecular Sciences. - : MDPI AG. - 1661-6596 .- 1422-0067. ; 23:5
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Tidskriftsartikel (refereegranskat)abstract
- CMV is a major cause of morbidity and mortality in immunocompromised individuals that will benefit from the availability of a vaccine. Despite the efforts made during the last decade, no CMV vaccine is available. An ideal CMV vaccine should elicit a broad immune response against multiple viral antigens including proteins involved in virus-cell interaction and entry. However, the therapeutic use of neutralizing antibodies targeting glycoproteins involved in viral entry achieved only partial protection against infection. In this scenario, a better understanding of the CMV prote-ome potentially involved in viral entry may provide novel candidates to include in new potential vaccine design. In this study, we aimed to explore the CMV genome to identify proteins with puta-tive transmembrane domains to identify new potential viral envelope proteins. We have performed in silico analysis using the genome sequences of nine different CMV strains to predict the trans-membrane domains of the encoded proteins. We have identified 77 proteins with transmembrane domains, 39 of which were present in all the strains and were highly conserved. Among the core proteins, 17 of them such as UL10, UL139 or US33A have no ascribed function and may be good candidates for further mechanistic studies.
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