es/iode’s Post

📃Scientific paper: Genetic approach toward linkage of Iran 2012–2016 cholera outbreaks with 7th pandemic Vibrio cholerae Abstract: Vibrio cholerae , as a natural inhabitant of the marine environment is among the world-leading causes of diarrheal diseases. The present study aimed to investigate the genetic relatedness of Iran 2012–2016 V . cholerae outbreaks with 7th pandemic cholera and to further characterize the non-ST69/non-ST75 sequence types strains by whole-genome sequencing (WGS). Twenty V. cholerae isolates related to 2012, 2013, 2015 and 2016 cholera outbreaks were studied by two genotyping methods – Pulsed-field Gel Electrophoresis (PFGE) and Multi-locus Sequence Typing (MLST)–and by antimicrobial susceptibility testing. Seven sequence types (STs) and sixteen pulsotypes were detected. Sequence type 69 was the most abundant ST confirming that most (65%, 13/20) of the studied isolates collected in Iran between 2012 and 2016 belonged to the 7th pandemic clone. All these ST69 isolates (except two) exhibited similar pulsotypes. ST75 was the second most abundant ST. It was identified in 2015 and 2016. ST438, ST178, ST579 and STs of 983 and 984 (as newfound STs) each were only detected in one isolate. All strains collected in 2016 appeared as distinct STs and pulsotypes indicative of probable different originations. All ST69 strains were resistant to nalidixic acid. Moreover, resistance to nalidixic acid, trimethoprim-sulfamethoxazole and tetracycline was only observed in strains of ST69. These properties propose the ST69 as a unique genotype derived from a separate lineage with distinc... Continued on ES/IODE ➡️ https://etcse.fr/c4T7 ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

📃Scientific paper: Genetic approach toward linkage of Iran 2012–2016 cholera outbreaks with 7th pandemic Vibrio cholerae Abstract: Vibrio cholerae , as a natural inhabitant of the marine environment is among the world-leading causes of diarrheal diseases. The present study aimed to investigate the genetic relatedness of Iran 2012–2016 V . cholerae outbreaks with 7th pandemic cholera and to further characterize the non-ST69/non-ST75 sequence types strains by whole-genome sequencing (WGS). Twenty V. cholerae isolates related to 2012, 2013, 2015 and 2016 cholera outbreaks were studied by two genotyping methods – Pulsed-field Gel Electrophoresis (PFGE) and Multi-locus Sequence Typing (MLST)–and by antimicrobial susceptibility testing. Seven sequence types (STs) and sixteen pulsotypes were detected. Sequence type 69 was the most abundant ST confirming that most (65%, 13/20) of the studied isolates collected in Iran between 2012 and 2016 belonged to the 7th pandemic clone. All these ST69 isolates (except two) exhibited similar pulsotypes. ST75 was the second most abundant ST. It was identified in 2015 and 2016. ST438, ST178, ST579 and STs of 983 and 984 (as newfound STs) each were only detected in one isolate. All strains collected in 2016 appeared as distinct STs and pulsotypes indicative of probable different originations. All ST69 strains were resistant to nalidixic acid. Moreover, resistance to nalidixic acid, trimethoprim-sulfamethoxazole and tetracycline was only observed in strains of ST69. These properties propose the ST69 as a unique genotype derived from a separate lineage with distinc... Continued on ES/IODE ➡️ https://etcse.fr/c4T7 ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

📃Scientific paper: Genetic approach toward linkage of Iran 2012–2016 cholera outbreaks with 7th pandemic Vibrio cholerae Abstract: Vibrio cholerae , as a natural inhabitant of the marine environment is among the world-leading causes of diarrheal diseases. The present study aimed to investigate the genetic relatedness of Iran 2012–2016 V . cholerae outbreaks with 7th pandemic cholera and to further characterize the non-ST69/non-ST75 sequence types strains by whole-genome sequencing (WGS). Twenty V. cholerae isolates related to 2012, 2013, 2015 and 2016 cholera outbreaks were studied by two genotyping methods – Pulsed-field Gel Electrophoresis (PFGE) and Multi-locus Sequence Typing (MLST)–and by antimicrobial susceptibility testing. Seven sequence types (STs) and sixteen pulsotypes were detected. Sequence type 69 was the most abundant ST confirming that most (65%, 13/20) of the studied isolates collected in Iran between 2012 and 2016 belonged to the 7th pandemic clone. All these ST69 isolates (except two) exhibited similar pulsotypes. ST75 was the second most abundant ST. It was identified in 2015 and 2016. ST438, ST178, ST579 and STs of 983 and 984 (as newfound STs) each were only detected in one isolate. All strains collected in 2016 appeared as distinct STs and pulsotypes indicative of probable different originations. All ST69 strains were resistant to nalidixic acid. Moreover, resistance to nalidixic acid, trimethoprim-sulfamethoxazole and tetracycline was only observed in strains of ST69. These properties propose the ST69 as a unique genotype derived from a separate lineage with distinc... Continued on ES/IODE ➡️ https://etcse.fr/c4T7 ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

📃Scientific paper: Genetic approach toward linkage of Iran 2012–2016 cholera outbreaks with 7th pandemic Vibrio cholerae Abstract: Vibrio cholerae , as a natural inhabitant of the marine environment is among the world-leading causes of diarrheal diseases. The present study aimed to investigate the genetic relatedness of Iran 2012–2016 V . cholerae outbreaks with 7th pandemic cholera and to further characterize the non-ST69/non-ST75 sequence types strains by whole-genome sequencing (WGS). Twenty V. cholerae isolates related to 2012, 2013, 2015 and 2016 cholera outbreaks were studied by two genotyping methods – Pulsed-field Gel Electrophoresis (PFGE) and Multi-locus Sequence Typing (MLST)–and by antimicrobial susceptibility testing. Seven sequence types (STs) and sixteen pulsotypes were detected. Sequence type 69 was the most abundant ST confirming that most (65%, 13/20) of the studied isolates collected in Iran between 2012 and 2016 belonged to the 7th pandemic clone. All these ST69 isolates (except two) exhibited similar pulsotypes. ST75 was the second most abundant ST. It was identified in 2015 and 2016. ST438, ST178, ST579 and STs of 983 and 984 (as newfound STs) each were only detected in one isolate. All strains collected in 2016 appeared as distinct STs and pulsotypes indicative of probable different originations. All ST69 strains were resistant to nalidixic acid. Moreover, resistance to nalidixic acid, trimethoprim-sulfamethoxazole and tetracycline was only observed in strains of ST69. These properties propose the ST69 as a unique genotype derived from a separate lineage with distinc... Continued on ES/IODE ➡️ https://etcse.fr/c4T7 ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

Lyme disease is a bacterial infection transmitted by ticks, specifically the spirochete Borrelia burgdorferi. The Borrelia species have complex genomes consisting of a linear chromosome and various linear and circular plasmids, which are crucial for their survival and transmission during the enzootic cycle. Among the essential plasmids found in most Lyme disease-causing spirochetes are the 32-kb circular plasmids known as cp32 prophages. These cp32 prophages can undergo lytic replication, producing infectious viral particles called ϕBB-1. Although the genome of B. burgdorferi shows signs of horizontal gene transfer, the exact mechanisms through which genes are transferred between strains are still not fully understood. Studies have shown that ϕBB-1 plays a role in transducing cp32 and shuttle vector DNA during laboratory cultivation; however, the extent of ϕBB-1 DNA transfer remains ambiguous. Recent research employing proteomics and long-read sequencing has provided further insights into the characteristics of ϕBB-1 virions. The investigation revealed that ϕBB-1 packages linear cp32 plasmids using a headful mechanism, showing a preference for plasmids containing the cp32 pac region. Additionally, ϕBB-1 was found to package fragments of the linear chromosome and complete plasmids such as lp54 and cp26. Sequencing of the DNA packaged by ϕBB-1 unveiled the structure of the covalently closed hairpin telomeres for the linear chromosome of B. burgdorferi and most linear plasmids in strain CA-11.2A. These findings shed light on the biological functions of the ubiquitous ϕBB-1 phage and its involvement in the generalized transduction of diverse genes. Moreover, the research implicates ϕBB-1 in maintaining genetic diversity within Lyme disease spirochetes. The intricate mechanisms of DNA packaging and transfer by ϕBB-1 contribute to our understanding of how these bacteria evolve and adapt to different environments, ultimately enhancing our knowledge of Lyme disease pathogenesis. #LymeDisease #GeneticDiversity https://buff.ly/43JwLHp

"Recent advances in genomic technology and molecular techniques have greatly facilitated the identification of disease biomarkers, advanced understanding of pathogenesis of different common diseases, and heralded the dawn of #precisionmedicine[1]." 3 weeks ago, a review focused on these advances in the area of diabetes and analysed the different #omics data in relation to detailed #clinical information: "In this review, we aim to provide an overview on how omics research could be incorporated into the design of current and future epidemiological studies... We provide an up-to-date review of the current understanding in the area of genetic, epigenetic, proteomic and metabolomic markers for #diabetes and related outcomes, including polygenic risk scores. We have drawn on key examples from the literature, as well as our own experience of conducting omics research using the Hong Kong Diabetes Register and Hong Kong Diabetes Biobank, as well as other cohorts, to illustrate the potential of omics research in diabetes. Recent studies highlight the opportunity, as well as potential benefit, to incorporate molecular profiling in the design and set-up of diabetes epidemiology studies, which can also advance understanding on the heterogeneity of diabetes[1]." ✅#My2_cents "...it is the integrative analysis of multiple omics that are likely to provide the most useful novel insights towards diabetes and related complications. In addition to the integration of different layers of omics datasets from different cohorts, there should be considerable advantage in leveraging the measurement of multiple omics in the same individuals... ➡ #multiomics data has been generated in an increasing number of cohorts, including the INTERVAL study, the Fenland cohort, China Kadoorie Biobank, FinnDiane and other cohorts... ➡ This generation of deep phenotyping with multi-omics data in large epidemiological cohorts, preferably with prospective follow-up, represents another important dimension in “big data” analytics... ➡There are also numerous successful examples where the incorporation of omics research into clinical trials have helped to identify novel biomarkers for clinical outcomes as well as biomarkers related to treatment response, though there are different limitations including the sample sizes of clinical trials being powered to detect differences in the primary outcomes in relation to the interventions being examined, and relatively short duration of the intervention..." #Reference check my 1st comment   20240219-11747

Since the beginning of the COVID-19 pandemic, the circulating variants have been classified into different categories depending on the impact they may have on the epidemiological situation. The three main categories are: variant under monitoring (VUM), variant of interest (VOI) and variant of concern (VOC)1-4. BIOPIX DNA TECHNOLOGY P.C. has been constantly stayed alert and evaluated every new variant that had been identified regardless its classification, to ensure that the COV19 qcLAMP kit5 is able to detect every variant that is circulating. To do that, the company is performing in silico analysis and identifying whether the new mutations are interfering with the accuracy of the kit. In conclusion, the effectiveness of COV19 qcLAMP test kit should not be affected by any circulating variant, including the latest JN.1 (BA.2.86.1.1), and it is able to detect any SARS-COV-2 variant that is known until this day1-4.     References 1.     Tracking SARS-CoV-2 variants. https://lnkd.in/gSnTf3NT. Last updated on 26 October 2023. 2.     SARS-CoV-2 variants of concern as of 20 October 2023. https://lnkd.in/d33TM2Jr. Last updated on 20 October 2023. 3.     Pango Lineages: Latest epidemiological lineages of SARS-CoV-2. https://lnkd.in/gSQZbKUj. 4.     Genomic epidemiology of SARS-CoV-2. https://lnkd.in/gcTPj7VH. 5.     BIOPIX DNA TECHNOLOGY P.C. COV19 qcLAMP test kit. https://lnkd.in/gtwXbYPN.

I'm excited to share our latest research published in Nature Communications! 🌿🔬 We explored why immune responses vary among individuals and how genetics shape these responses, particularly in the context of Lyme disease. In our study, we identified 34 genomic loci that regulate immune responses in patients with Lyme disease. One of the strongest signals we found was in the TLR1-6-10 locus, which plays a crucial role in cytokine responses to Borrelia burgdorferi, the bacteria causing Lyme disease. 🦠 Our data revealed the functional effect of a genetic variant associated with Lyme disease susceptibility. Interestingly, the loci we identified also play roles in other immune-mediated diseases. Read more about our findings in Nature Communications: https://lnkd.in/epjHB_9S #Genetics #Immunology #LymeDisease #Research

Since the beginning of the COVID-19 pandemic, the circulating variants have been classified into different categories depending on the impact they may have on the epidemiological situation. The three main categories are: variant under monitoring (VUM), variant of interest (VOI) and variant of concern (VOC)1-4. BIOPIX DNA TECHNOLOGY P.C. has been constantly stayed alert and evaluated every new variant that had been identified regardless its classification, to ensure that the COV19 qcLAMP kit5 is able to detect every variant that is circulating. To do that, the company is performing in silico analysis and identifying whether the new mutations are interfering with the accuracy of the kit. In conclusion, the effectiveness of COV19 qcLAMP test kit should not be affected by any circulating variant, including the latest JN.1 (BA.2.86.1.1), and it is able to detect any SARS-COV-2 variant that is known until this day1-4.     References 1.     Tracking SARS-CoV-2 variants. https://lnkd.in/gvnhvBid. Last updated on 26 October 2023. 2.     SARS-CoV-2 variants of concern as of 20 October 2023. https://lnkd.in/gG59-36m. Last updated on 20 October 2023. 3.     Pango Lineages: Latest epidemiological lineages of SARS-CoV-2. https://lnkd.in/gSRAHNCe. 4.     Genomic epidemiology of SARS-CoV-2. https://lnkd.in/gnsc_wb9. 5.     BIOPIX DNA TECHNOLOGY P.C. COV19 qcLAMP test kit. https://lnkd.in/gvqb-cR9.

🔬 Exciting Discovery! 🌐 Delighted to share insights from my latest publication: "The streptococcal phase-variable type I restriction modification system SsuCC20p dictates the methylome of Streptococcus suis impacting the transcriptome and virulence in a zebrafish larvae infection model" https://lnkd.in/dGeb7sTe 🧬 Key Findings: Unveiling the spread of the the phase-variable type I RM system, SsuCC20p, across various streptococcal species. Identifying three unique genome methylation patterns in the zoonotic S. suis isolate 861160, highlighting the significance of SsuCC20p. Challenging previous assumptions, we discovered that hsdS genes not directly downstream of hsdM can shape the genome methylation profile as well. Intriguingly, SsuCC20p mutants, when cultured in human serum, exhibit distinct genome methylation profiles, shedding light on the dynamic nature of SsuCC20p. 🐟 Zebrafish Model Insights: The study showcases significant differences in virulence between SsuCC20p mutants that only differ in genome methylation. This observed virulence shift corresponds with a notable alteration in the distribution of hsdS alleles, providing a direct link between SsuCC20p and virulence in the zebrafish larvae infection model. 💡 Impact: Our findings emphasize the critical role of SsuCC20p in the epigenetic control of gene expression, influencing bacterial fitness, and ultimately impacting the virulence of Streptococcus suis in the zebrafish larvae infection model. 🙏Really thankful for the collaborative efforts that made this research possible!