What is broad-range 16S rDNA PCR?

PCRs have revolutionised the detection of bacteria in clinical samples since their widespread introduction in the 1990s.1 Quantitative PCR (qPCR), also known as specific PCR, involves the targeting of particular bacterial species. The technique uses specific primers (short strands of nucleic acid needed to initiate DNA replication) and fluorescent probes to allow real-time quantification of target bacterial DNA during amplification. The qPCR assay is a mainstay of microbiological diagnostics within the National Health Service (NHS). At our hospital approximately 200 qPCRs are performed per week for the investigation of bacterial infections. Although qPCR is by far the most frequently used molecular technique in bacterial diagnostics, in certain scenarios a broad-range (non-specific) 16S rDNA (ribosomal DNA) PCR is increasingly being used. Broad-range 16S rDNA PCR is also more commonly used in research settings, originally for use in detecting and identifying unusual bacterial species but now more widely used in the rapidly expanding field of microbiome research. This technique provides the initial step in the process of analysing complex microbial communities in human, zoological and even geological settings. In the future, analysis of individualised microbial communities using broad-range 16S rDNA PCR may be a key component of personalised medicine

The cardiomyocyte "redox rheostat": Redox signalling via the AMPK-mTOR axis and regulation of gene and protein expression balancing survival and death.

Reactive oxygen species (ROS) play a key role in development of heart failure but, at a cellular level, their effects range from cytoprotection to induction of cell death. Understanding how this is regulated is crucial to develop novel strategies to ameliorate only the detrimental effects. Here, we revisited the fundamental hypothesis that the level of ROS per se is a key factor in the cellular response by applying different concentrations of H2O2 to cardiomyocytes. High concentrations rapidly reduced intracellular ATP and inhibited protein synthesis. This was associated with activation of AMPK which phosphorylated and inhibited Raptor, a crucial component of mTOR complex-1 that regulates protein synthesis. Inhibition of protein synthesis by high concentrations of H2O2 prevents synthesis of immediate early gene products required for downstream gene expression, and such mRNAs (many encoding proteins required to deal with oxidant stress) were only induced by lower concentrations. Lower concentrations of H2O2 promoted mTOR phosphorylation, associated with differential recruitment of some mRNAs to the polysomes for translation. Some of the upregulated genes induced by low H2O2 levels are cytoprotective. We identified p21Cip1/WAF1 as one such protein, and preventing its upregulation enhanced the rate of cardiomyocyte apoptosis. The data support the concept of a "redox rheostat" in which different degrees of ROS influence cell energetics and intracellular signalling pathways to regulate mRNA and protein expression. This sliding scale determines cell fate, modulating survival vs death

Murine adenoviruses: tools for studying adenovirus pathogenesis in a natural host

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153088/1/feb213699.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/153088/2/feb213699_am.pd

“A STUDY TO ASSESS THE IMPACT OF SOCIAL MEDIA USE ON LEARNING, SOCIAL INTERACTION AND SLEEP DURATION ON STUDENT’S LIFE IN SELECTED COLLEGES OF NADIAD CITY.”

discussions among its participant.” Social networking sites have changed how we engage with each other in person, how we obtain information, and how our social networks and friendships operate.(1) Additionally, the amount of time students spends daily utilizing social networks decreases the quality of their sleep and increases depression as well as impact on learning ability and social interaction using of social media impact on college students both : positively & negatively in learning, social interaction and sleep duration.(2) AIMS: The essence of this research work is to primarily study the influence of social media on the learning ability, sleeping pattern and social interaction of students. METHODOLOGY: A Quantitative research study was conducted. 100 college students from 1st and 2nd year were chosen for the study. A standardized questionnaire was used to examine their sociodemographic profile, structured 4-point Likert Scale to assess the impact of social media on learning, Social Interaction and Sleep duration. Descriptive and Inferential statistics were used to analyze the data. RESULT: In this study total 100 students are participated the result revealed than 48(48%) students have moderate impact of social media on learning, 50(50%) students have moderate impact of social media on social interaction, 55(55%) students have moderate impact of social media on sleep duration. CONCLUSION: The purpose of present study is to a Descriptive study to assess the effect of social media on learning, social interaction and sleep duration among students in selected colleges of Nadiad city. Based on the findings, social media occupies the most important part of the student’s life. It consumes most of their productive hours and results in anxiety, depression, loneliness, attention deficit, hyperactivity disorder and addiction. The students who addicted by dopamine spend excess time on social media sleeps only fewer hours in the night time. This makes them become stressed and sleepy in their daily classes which makes in the reduction of the concentration level of students. This study also reveals that student who do not have proper sleeping habit tend to be less interactive to lecture that result in poor academic performanc

More on STAT1 Gain of Function, Type 1 Diabetes, and JAK Inhibition

This is the final version. Available from the Massachusetts Medical Society via the DOI in this recor

Digital habits of pulmonary rehabilitation service-users following the COVID-19 pandemic

Objective: We previously demonstrated low levels of digital literacy amongst pulmonary rehabilitation service-users prior to the COVID-19 pandemic. We aimed to identify whether the pandemic accelerated digital literacy in this population, resulting in greater acceptance of remote web-based pulmonary rehabilitation programme models. Methods: We surveyed digital access and behaviours and pulmonary rehabilitation delivery preferences of service-users referred to pulmonary rehabilitation in 2021 (cohort 2021) and propensity score-matched them to a cohort who completed the survey in 2020 (cohort 2020). Results: There were indicators that digital access and confidence were better amongst the Cohort 2021 but no difference was seen in the proportion of patients choosing remote web-based pulmonary rehabilitation as an acceptable method of receiving pulmonary rehabilitation. Conclusion: In an unselected cohort of service-users, remote web-based pulmonary rehabilitation was considered acceptable in only a minority of patients which has implications on healthcare commissioning and delivery of pulmonary rehabilitation

Immunoinformatic evaluation of multiple epitope ensembles as vaccine candidates:E coli 536

Epitope prediction is becoming a key tool for vaccine discovery. Prospective analysis of bacterial and viral genomes can identify antigenic epitopes encoded within individual genes that may act as effective vaccines against specific pathogens. Since B-cell epitope prediction remains unreliable, we concentrate on T-cell epitopes, peptides which bind with high affinity to Major Histacompatibility Complexes (MHC). In this report, we evaluate the veracity of identified T-cell epitope ensembles, as generated by a cascade of predictive algorithms (SignalP, Vaxijen, MHCPred, IDEB, EpiJen), as a candidate vaccine against the model pathogen uropathogenic gram negative bacteria Escherichia coli (E-coli) strain 536 (O6:K15:H31). An immunoinformatic approach was used to identify 23 epitopes within the E-coli proteome. These epitopes constitute the most promiscuous antigenic sequences that bind across more than one HLA allele with high affinity (IC50 <50nM). The reliability of software programmes used, polymorphic nature of genes encoding MHC and what this means for population coverage of this potential vaccine are discussed

Ultra-high bandwidth quantum secured data transmission

Quantum key distribution (QKD) provides an attractive means for securing communications in optical fibre networks. However, deployment of the technology has been hampered by the frequent need for dedicated dark fibres to segregate the very weak quantum signals from conventional traffic. Up until now the coexistence of QKD with data has been limited to bandwidths that are orders of magnitude below those commonly employed in fibre optic communication networks. Using an optimised wavelength divisional multiplexing scheme, we transport QKD and the prevalent 100 Gb/s data format in the forward direction over the same fibre for the first time. We show a full quantum encryption system operating with a bandwidth of 200 Gb/s over a 100 km fibre. Exploring the ultimate limits of the technology by experimental measurements of the Raman noise, we demonstrate it is feasible to combine QKD with 10 Tb/s of data over a 50 km link. These results suggest it will be possible to integrate QKD and other quantum photonic technologies into high bandwidth data communication infrastructures, thereby allowing their widespread deployment

Contrasting charge-carrier dynamics across key metal-halide perovskite compositions through in situ simultaneous probes

Metal-halide perovskites have proven to be a versatile group of semiconductors for optoelectronic applications, with ease of bandgap tuning and stability improvements enabled by halide and cation mixing. However, such compositional variations can be accompanied by significant changes in their charge-carrier transport and recombination regimes that are still not fully understood. Here, a novel combinatorial technique is presented to disentangle such dynamic processes over a wide range of temperatures, based on transient free-space, high-frequency microwave conductivity and photoluminescence measurements conducted simultaneously in situ. Such measurements are used to reveal and contrast the dominant charge-carrier recombination pathways for a range of key compositions: prototypical methylammonium lead iodide perovskite (MAPbI3), the stable mixed formamidinium-caesium lead-halide perovskite FA0.83Cs0.17PbBr0.6I2.4 targeted for photovoltaic tandems with silicon, and fully inorganic wide-bandgap CsPbBr3 aimed toward light sources and X-ray detector applications. The changes in charge-carrier dynamics in FA0.83Cs0.17PbBr0.6I2.4 across temperatures are shown to be dominated by radiative processes, while those in MAPbI3 are governed by energetic disorder at low temperatures, low-bandgap minority-phase inclusions around the phase transition, and non-radiative processes at room temperature. In contrast, CsPbBr3 exhibits significant charge-carrier trapping at low and high temperatures, highlighting the need for improvement of material processing techniques for wide-bandgap perovskites

Penetrance and expressivity of mitochondrial variants in a large clinically unselected population

\ua9 The Author(s) 2023. Published by Oxford University Press. Whole genome sequencing (WGS) from large clinically unselected cohorts provides a unique opportunity to assess the penetrance and expressivity of rare and/or known pathogenic mitochondrial variants in population. Using WGS from 179 862 clinically unselected individuals from the UK Biobank, we performed extensive single and rare variant aggregation association analyses of 15 881 mtDNA variants and 73 known pathogenic variants with 15 mitochondrial disease-relevant phenotypes. We identified 12 homoplasmic and one heteroplasmic variant (m.3243A&gt;G) with genome-wide significant associations in our clinically unselected cohort. Heteroplasmic m.3243A&gt;G (MAF = 0.0002, a known pathogenic variant) was associated with diabetes, deafness and heart failure and 12 homoplasmic variants increased aspartate aminotransferase levels including three low-frequency variants (MAF ~0.002 and beta~0.3 SD). Most pathogenic mitochondrial disease variants (n = 66/74) were rare in the population (&lt;1:9000). Aggregated or single variant analysis of pathogenic variants showed low penetrance in unselected settings for the relevant phenotypes, except m.3243A&gt;G. Multi-system disease risk and penetrance of diabetes, deafness and heart failure greatly increased with m.3243A&gt;G level ≥ 10%. The odds ratio of these traits increased from 5.61, 12.3 and 10.1 to 25.1, 55.0 and 39.5, respectively. Diabetes risk with m.3243A&gt;G was further influenced by type 2 diabetes genetic risk. Our study of mitochondrial variation in a large-unselected population identified novel associations and demonstrated that pathogenic mitochondrial variants have lower penetrance in clinically unselected settings. m.3243A&gt;G was an exception at higher heteroplasmy showing a significant impact on health making it a good candidate for incidental reporting