A meta-meta-analysis of co-infection, secondary infections, and antimicrobial resistance in COVID-19 patients.

The newly discovered coronavirus SARS-CoV-2 has sparked a worldwide pandemic of COVID-19, which has caused havoc on medical infrastructures, economies, and cultures around the world. Determining the whole scenario is essential since SARS-CoV-2 variants and sub-variants keep appearing after vaccinations and booster doses. The objective of this secondary meta-analysis is to analysis co-infection, secondary infections, and antimicrobial resistance (AMR) in COVID-19 patients. This study used five significant databases to conduct a systematic review and an overlap meta-analysis to evaluate the pooled estimates of co-infections and secondary infections. The summary of the meta-analysis showed an overall co-infection effect of 26.19% (95% confidence intervals CI: 21.39-31.01, I2 =98.78, n = 14 meta-analysis) among patients with COVID-19. A coinfection effect of 11.13% (95% CI: 9.7-12.56, I2 =99.14, n = 11 meta-analysis) for bacteria; 9.69% (95% CI: 1.21-7.90, I2 =98.33) for fungal and 3.48% (95% CI: 2.15-4.81, I2 =95.84) for viruses. A secondary infection effect of 19.03% (95% CI: 9.53-28.54, I2 =85.65) was pooled from 2 meta-analyses (Ave: 82 primary studies). This is the first study that compiles the results of all the previous three years meta-analyses into a single source and offers strong proof of co-infections and secondary infections in COVID-19 patients. Early detection of co-infection and AMR is crucial for COVID-19 patients in order to effective treatment.

Genome-wide study of globally distributed respiratory syncytial virus (RSV) strains implicates diversification utilizing phylodynamics and mutational analysis.

Respiratory syncytial virus (RSV) is a common respiratory pathogen that causes mild cold-like symptoms and severe lower respiratory tract infections, causing hospitalizations in children, the elderly and immunocompromised individuals. Due to genetic variability, this virus causes life-threatening pneumonia and bronchiolitis in young infants. Thus, we examined 3600 whole genome sequences submitted to GISAID by 31 December 2022 to examine the genetic variability of RSV. While RSVA and RSVB coexist throughout RSV seasons, RSVA is more prevalent, fatal, and epidemic-prone in several countries, including the United States, the United Kingdom, Australia, and China. Additionally, the virus's attachment glycoprotein and fusion protein were highly mutated, with RSVA having higher Shannon entropy than RSVB. The genetic makeup of these viruses contributes significantly to their prevalence and epidemic potential. Several strain-specific SNPs co-occurred with specific haplotypes of RSVA and RSVB, followed by different haplotypes of the viruses. RSVA and RSVB have the highest linkage probability at loci T12844A/T3483C and G13959T/C2198T, respectively. The results indicate that specific haplotypes and SNPs may significantly affect their spread. Overall, this analysis presents a promising strategy for tracking the evolving epidemic situation and genetic variants of RSV, which could aid in developing effective control, prophylactic, and treatment strategies.

In Silico Functional Characterization of a Hypothetical Protein From Pasteurella Multocida Reveals a Novel S-Adenosylmethionine-Dependent Methyltransferase Activity.

Genomes may now be sequenced in a matter of weeks, leading to an influx of "hypothetical" proteins (HP) whose activities remain a mystery in GenBank. The information included inside these genes has quickly grown in prominence. Thus, we selected to look closely at the structure and function of an HP (AFF25514.1; 246 residues) from Pasteurella multocida (PM) subsp. multocida str. HN06. Possible insights into bacterial adaptation to new environments and metabolic changes might be gained by studying the functions of this protein. The PM HN06 2293 gene encodes an alkaline cytoplasmic protein with a molecular weight of 28352.60 Da, an isoelectric point (pI) of 9.18, and an overall average hydropathicity of around -0.565. One of its functional domains, tRNA (adenine (37)-N6)-methyltransferase TrmO, is a S-adenosylmethionine (SAM)-dependent methyltransferase (MTase), suggesting that it belongs to the Class VIII SAM-dependent MTase family. The tertiary structures represented by HHpred and I-TASSER models were found to be flawless. We predicted the model's active site using the Computed Atlas of Surface Topography of Proteins (CASTp) and FTSite servers, and then displayed it in 3 dimensional (3D) using PyMOL and BIOVIA Discovery Studio. Based on molecular docking (MD) results, we know that HP interacts with SAM and S-adenosylhomocysteine (SAH), 2 crucial metabolites in the tRNA methylation process, with binding affinities of 7.4 and 7.5 kcal/mol, respectively. Molecular dynamic simulations (MDS) of the docked complex, which included only modest structural adjustments, corroborated the strong binding affinity of SAM and SAH to the HP. Evidence for HP's possible role as an SAM-dependent MTase was therefore given by the findings of Multiple sequence alignment (MSA), MD, and molecular dynamic modeling. These in silico data suggest that the investigated HP might be used as a useful adjunct in the investigation of Pasteurella infections and the development of drugs to treat zoonotic pasteurellosis.

Variant-specific deleterious mutations in the SARS-CoV-2 genome reveal immune responses and potentials for prophylactic vaccine development.

Introduction: Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has had a disastrous effect worldwide during the previous three years due to widespread infections with SARS-CoV-2 and its emerging variations. More than 674 million confirmed cases and over 6.7 million deaths have been attributed to successive waves of SARS-CoV-2 infections as of 29th January 2023. Similar to other RNA viruses, SARS-CoV-2 is more susceptible to genetic evolution and spontaneous mutations over time, resulting in the continual emergence of variants with distinct characteristics. Spontaneous mutations of SARS-CoV-2 variants increase its transmissibility, virulence, and disease severity and diminish the efficacy of therapeutics and vaccines, resulting in vaccine-breakthrough infections and re-infection, leading to high mortality and morbidity rates. Materials and methods: In this study, we evaluated 10,531 whole genome sequences of all reported variants globally through a computational approach to assess the spread and emergence of the mutations in the SARS-CoV-2 genome. The available data sources of NextCladeCLI 2.3.0 (https://clades.nextstrain.org/) and NextStrain (https://nextstrain.org/) were searched for tracking SARS-CoV-2 mutations, analysed using the PROVEAN, Polyphen-2, and Predict SNP mutational analysis tools and validated by Machine Learning models. Result: Compared to the Wuhan-Hu-1 reference strain NC 045512.2, genome-wide annotations showed 16,954 mutations in the SARS-CoV-2 genome. We determined that the Omicron variant had 6,307 mutations (retrieved sequence:1947), including 67.8% unique mutations, more than any other variant evaluated in this study. The spike protein of the Omicron variant harboured 876 mutations, including 443 deleterious mutations. Among these deleterious mutations, 187 were common and 256 were unique non-synonymous mutations. In contrast, after analysing 1,884 sequences of the Delta variant, we discovered 4,468 mutations, of which 66% were unique, and not previously reported in other variants. Mutations affecting spike proteins are mostly found in RBD regions for Omicron, whereas most of the Delta variant mutations drawn to focus on amino acid regions ranging from 911 to 924 in the context of epitope prediction (B cell & T cell) and mutational stability impact analysis protruding that Omicron is more transmissible. Discussion: The pathogenesis of the Omicron variant could be prevented if the deleterious and persistent unique immunosuppressive mutations can be targeted for vaccination or small-molecule inhibitor designing. Thus, our findings will help researchers monitor and track the continuously evolving nature of SARS-CoV-2 strains, the associated genetic variants, and their implications for developing effective control and prophylaxis strategies.

Factors affecting vaccination demand in Indonesia: a secondary analysis and multimethods national assessment.

OBJECTIVES: Vaccine hesitancy remains a major barrier to immunisation coverage worldwide. We explored influence of hesitancy on coverage and factors contributing to vaccine uptake during a national measles-rubella (MR) campaign in Indonesia. DESIGN: Secondary analyses of qualitative and quantitative data sets from existing cross-sectional studies conducted during and around the campaign. METHODS: Quantitative data used in this assessment included daily coverage reports generated by health workers, district risk profiles that indicate precampaign immunisation programme performance, and reports of campaign cessation due to vaccine hesitancy. We used t-test and χ2 tests for associations. The qualitative assessment employed three parallel national and regional studies. Deductive thematic analysis examined factors for acceptance among caregivers, health providers and programme managers. RESULTS: Coverage data were reported from 6462 health facilities across 395 districts from 1 August to 31 December 2018. The average district coverage was 73%, with wide variation between districts (2%-100%). One-third of districts fell below 70% coverage thresholds. Sixty-two of 395 (16%) districts paused the campaign due to hesitancy. Coverage among districts that never paused campaign activities due to hesitancy was significantly higher than rates for districts ever-pausing the campaign (81% vs 42%; p<0.001). Precampaign adequacy of district immunisation programmes did not explain coverage gaps (p=0.210). Qualitative analysis identified acceptance enablers including using digital health monitoring and feedback systems, increasing caregiver knowledge and awareness, making immunisation social norm, effective cross-sectoral collaboration, conducive service environment and positive experiences for mothers and children. Barriers included misinformation diffusion on social media, halal-haram issues, lack of healthcare provider knowledge, negative family influences and traditions, previous poor experiences and misinformation on adverse events. CONCLUSION: Barriers to vaccine uptake contributed to coverage gaps during national MR campaign in Indonesia. A range of supply-related and demand-related strategies were identified to address hesitancy contributors. Advancing a portfolio of tailored multilevel interventions will be critical to enhance vaccine acceptance.

Role of EXO1 nuclease activity in genome maintenance, the immune response and tumor suppression in Exo1D173A mice.

DNA damage response pathways rely extensively on nuclease activity to process DNA intermediates. Exonuclease 1 (EXO1) is a pleiotropic evolutionary conserved DNA exonuclease involved in various DNA repair pathways, replication, antibody diversification, and meiosis. But, whether EXO1 facilitates these DNA metabolic processes through its enzymatic or scaffolding functions remains unclear. Here, we dissect the contribution of EXO1 enzymatic versus scaffolding activity by comparing Exo1DA/DA mice expressing a proven nuclease-dead mutant form of EXO1 to entirely EXO1-deficient Exo1-/- and EXO1 wild type Exo1+/+ mice. We show that Exo1DA/DA and Exo1-/- mice are compromised in canonical DNA repair processing, suggesting that the EXO1 enzymatic role is important for error-free DNA mismatch and double-strand break repair pathways. However, in non-canonical repair pathways, EXO1 appears to have a more nuanced function. Next-generation sequencing of heavy chain V region in B cells showed the mutation spectra of Exo1DA/DA mice to be intermediate between Exo1+/+ and Exo1-/- mice, suggesting that both catalytic and scaffolding roles of EXO1 are important for somatic hypermutation. Similarly, while overall class switch recombination in Exo1DA/DA and Exo1-/- mice was comparably defective, switch junction analysis suggests that EXO1 might fulfill an additional scaffolding function downstream of class switching. In contrast to Exo1-/- mice that are infertile, meiosis progressed normally in Exo1DA/DA and Exo1+/+ cohorts, indicating that a structural but not the nuclease function of EXO1 is critical for meiosis. However, both Exo1DA/DA and Exo1-/- mice displayed similar mortality and cancer predisposition profiles. Taken together, these data demonstrate that EXO1 has both scaffolding and enzymatic functions in distinct DNA repair processes and suggest a more composite and intricate role for EXO1 in DNA metabolic processes and disease.

Re-annotation of 12,495 prokaryotic 16S rRNA 3' ends and analysis of Shine-Dalgarno and anti-Shine-Dalgarno sequences.

We examined 20,648 prokaryotic unique taxids with respect to the annotation of the 3' end of the 16S rRNA, which contains the anti-Shine-Dalgarno sequence. We used the sequence of highly conserved helix 45 of the 16S rRNA as a guide. By this criterion, 8,153 annotated 3' ends correctly included the anti-Shine-Dalgarno sequence, but 12,495 were foreshortened or otherwise mis-annotated, missing part or all of the anti-Shine-Dalgarno sequence, which immediately follows helix 45. We re-annotated, giving a total of 20,648 16S rRNA 3' ends. The vast majority indeed contained a consensus anti-Shine-Dalgarno sequence, embedded in a highly conserved 13 base "tail". However, 128 exceptional organisms had either a variant anti-Shine-Dalgarno, or no recognizable anti-Shine-Dalgarno, in their 16S rRNA(s). For organisms both with and without an anti-Shine-Dalgarno, we identified the Shine-Dalgarno motifs actually enriched in front of each organism's open reading frames. This showed to what extent the Shine-Dalgarno motifs correlated with anti-Shine Dalgarno motifs. In general, organisms whose rRNAs lacked a perfect anti-Shine-Dalgarno motif also lacked a recognizable Shine-Dalgarno. For organisms whose 16S rRNAs contained a perfect anti-Shine-Dalgarno motif, a variety of results were obtained. We found one genus, Alteromonas, where several taxids apparently maintain two different types of 16S rRNA genes, with different, but conserved, antiSDs. The fact that some organisms do not seem to have or use Shine-Dalgarno motifs supports the idea that prokaryotes have other robust mechanisms for recognizing start codons for translation.

Prokaryotic coding regions have little if any specific depletion of Shine-Dalgarno motifs.

The Shine-Dalgarno motif occurs in front of prokaryotic start codons, and is complementary to the 3' end of the 16S ribosomal RNA. Hybridization between the Shine-Dalgarno sequence and the anti-Shine-Dalgarno region of the16S rRNA (CCUCCU) directs the ribosome to the start AUG of the mRNA for translation. Shine-Dalgarno-like motifs (AGGAGG in E. coli) are depleted from open reading frames of most prokaryotes. This may be because hybridization of the 16S rRNA at Shine-Dalgarnos inside genes would slow translation or induce internal initiation. However, we analyzed 128 species from diverse phyla where the 16S rRNA gene(s) lack the anti-Shine-Dalgarno sequence, and so the 16S rRNA is incapable of interacting with Shine-Dalgarno-like sequences. Despite this lack of an anti-Shine-Dalgarno, half of these species still displayed depletion of Shine-Dalgarno-like sequences when analyzed by previous methods. Depletion of the same G-rich sequences was seen by these methods even in eukaryotes, which do not use the Shine-Dalgarno mechanism. We suggest previous methods are partly detecting a non-specific depletion of G-rich sequences. Alternative informatics approaches show that most prokaryotes have only slight, if any, specific depletion of Shine-Dalgarno-like sequences from open reading frames. Together with recent evidence that ribosomes do not pause at ORF-internal Shine-Dalgarno motifs, these results suggest the presence of ORF-internal Shine-Dalgarno-like motifs may be inconsequential, perhaps because internal regions of prokaryotic mRNAs may be structurally "shielded" from translation initiation.

In vitro antioxidant, cytotoxic, thrombolytic activities and phytochemical evaluation of methanol extract of the A. philippense L. leaves.

OBJECTIVE: To study the leaves of Adiantum philippense L. for their antioxidant, cytotoxicity and thrombolytic activities and to perform phytochemical evaluation. METHODS: In-vitro antioxidant activity of extract was studied using DPPH radical scavenging, reducing power, total phenol and total flavonoid content determination assays. The cytotoxic activity was determined using brine shrimp lethality bioassay, thrombolytic activity by clot disruption and phytochemical potential by qualitative analysis. RESULTS: The antioxidant activity of the extracts was found promising. The reducing power of this crude extract increase with the increase of concentration; IC50 values of DPPH scavenging activity was (140.00±0.86) µg/mL as compared to ascorbic acid [IC50 (130.00±0.76) µg/mL]; Total phenol and total flavonoids content were (148.26±0.24) mg/mL and (163.06±0.56) mg/mL respectively. In cytotoxicity assay the LC50 values of the sample was (106.41±0.78) µg/mL where as for standard vincristin sulphate was (08.50±0.24) µg/mL as a positive control and the extract shows (12.86±1.02)% clot lytic whereas standard streptokinase shows (30.86±0.44% clot lytic activity in thrombolytic assay. The phytochemical evaluation indicates the presence of chemical constituents including carbohydrates, alkaloids, saponins, glycosides, flavonoids. CONCLUSIONS: This study shows that the methanol extract of leaves of Adiantum philippense L. has bioactivity but further compound isolation is necessary to confirm the activities of individual compounds.

Effects of salinomycin and vitamin B(6) on in vitro metabolism of phenylalanine and its related compounds by ruminal bacteria, protozoa and their mixture.

An in vitro study was conducted to examine the effects of salinomycin (SL) and vitamin B(6) (B(6)) on the production of phenylalanine (Phe) from phenylpyruvic acid (PPY) and phenylacetic acid (PAA) and of PAA from Phe and PPY by mixed rumen bacteria (B), mixed rumen protozoa (P) and their mixture (BP). Rumen microorganisms were collected from fistulated goats fed lucerne cubes (Medicago sativa) and a concentrate mixture (3 : 1) twice a day. Microbial suspensions were anaerobically incubated at 39 degrees C for 12 h. Phe and some other related compounds in both supernatants and microbial hydrolysates of the incubations were analyzed by HPLC. When PPY was used as a substrate, it completely disappeared without additives and converted mainly to Phe and PAA on the average by 396 and 178, 440 and 189, and 439 and 147 &mgr;M in B, P and BP, respectively, during the 12 h incubation period. The rate of disappearance showed no significant differences between the microbial suspensions with and without SL and B(6) during the incubation period. The production of Phe from PPY with SL was enhanced (p<0.05) by 40, 20 and 19% in B, P and BP, respectively, while PAA production from PPY with SL was inhibited (p<0.05) by 35, 37 and 38% in B, P and BP, respectively, during the 12 h incubation period. On the other hand, with B(6), the production of Phe and PAA from PPY tended to be enhanced by 14 and 17, 9 and 11, and 7 and 22% in B, P and BP, respectively, during the 12 h incubation period. When PAA added as a substrate was incubated in the incubation medium without any additives, it disappeared by 483, 462 and 507 &mgr;M and converted mainly to Phe on the average by 231, 244 and 248 &mgr;M in B, P and BP, respectively. The disappearance of PAA with SL was inhibited (p<0.05) by 16, 15 and 20%, in B, P and BP, respectively, whereas the disappearance of PAA with B6 was almost the same as that without B(6) in B and BP suspensions but tended to be enhanced by more than 9% in P suspensions during the 12 h incubation period. The production of Phe from PAA with SL tended to be inhibited by 12, 11 and 8% in B, P and BP, respectively, during the 6 h incubation period, but the inhibition was weakened during the 12 h incubation period, whereas Phe production from PAA with B(6) tended to be enhanced by 13, 16 and 8% in B, P and BP, respectively. When Phe was added as a substrate, the net Phe disappearance without additives was 549, 365 and 842 &mgr;M and converted mainly to PAA on the average by 254, 205 and 461 &mgr;M in B, P and BP, respectively. The net disappearance of Phe with SL was inhibited (p<0.05) by 38, 28 and 46%, whereas the net disappearance of Phe with B(6) was enhanced (p<0.05) by 9, 8 and 7% in B, P and BP, respectively. The production of PAA from Phe with SL was inhibited (p<0.05) by 73, 54 and 76% in B, P and BP, respectively. On the other hand, with B(6), PAA production from Phe was enhanced (p<0.05) by 19, 18 and 20% in B, P and BP, respectively. Based on these results, it seems that SL inhibited Phe disappearance and enhanced the synthesis of Phe from PPY, though not from PAA, and accumulated free Phe in the medium, whereas B(6) also enhanced Phe synthesis both from PPY and PAA, which could provide additional amino N for animals.

In vitro metabolism of phenylalanine by ruminal bacteria, protozoa, and their mixture.

An in vitro study was conducted to examine the metabolism of phenylalanine (Phe) by mixed rumen bacteria (B), mixed rumen protozoa (P), and a combination of the two (BP). Rumen microorganisms were collected from fistulated goats fed lucerne cubes (Medicago sativa) and a concentrated mixture twice a day. Microbial suspensions were anaerobically incubated at 39 degrees C for 12 h. Phe and some other related compounds in both supernatants and microbial hydrolysates of the incubations were analysed by HPLC. The net degradation rate (&mgr;mol/g microbial nitrogen) of Phe in B was about 1.5-fold higher than that in P. Phe was converted mainly into phenylacetic acid (PAA) and unknown compound(s) that presumably involved tyrosine in B, P, and BP during the 12 h incubation period. Small amounts of benzoic acid (BZA), and traces of phenylpropionic acid (PPR) and phenyllactic acid (PLA) were also produced from Phe. PAA production in B was found to be higher than that in P, whereas it was significantly higher in BP. Although BZA production was less than one-tenth that of PAA production, it was higher in P than in B and BP. PPR was detected in both B and BP, but not in P. PLA was detected only in B. The production of unknown compound(s) was higher in B than in P and BP.

Synthesis of phenylalanine and production of other related compounds from phenylpyruvic acid and phenylacetic acid by ruminal bacteria, protozoa, and their mixture in vitro.

Phenylalanine (Phe) synthesis and the production of other related compounds by mixed ruminal bacteria (B), protozoa (P), and a combination of the two mixture (BP) in an in vitro system were quantitatively investigated using phenylpyruvic acid (PPY) and phenylacetic acid (PAA) as substrates. Rumen microorganisms were collected from fistulated goats fed lucerne cubes (Medicago sativa) and a concentrated mixture twice a day. Microbial suspensions were anaerobically incubated at 39 degrees C for 12 h. Phe and some other related compounds in both supernatants and microbial hydrolysates of the incubations were analysed by HPLC. A large quantity of Phe was produced from both PPY and PAA not only in B but also in P. In B suspensions, free Phe also accumulated in the medium only when PPY was used as a substrate. The ability of B to synthesize Phe from both PPY and PAA (expressed as unit 'per microbial nitrogen') was 5.1 and 24.8% higher than P, respectively. Phe production from PPY in B and P was 43.5 and 55.2% higher than that from PAA. Large amounts of PAA (17-27%) were produced from PPY in all microbial suspension and production amounts were similar in B and P. Small amounts of benzoic acid (BZA) were produced from PPY and PAA in B, P, and BP, and higher BZA production was observed in P as compared to B. Phenylpropionic acid (PPR) was produced in B from both PPY and PAA, but not in P or BP. A trace amount of phenyllactic acid (PLA) was detected only from PPY in B. Higher concentrations of an unknown compound from PPY and PAA were found to be accumulated in the body protein of B and also in the medium of P, and production of the compound from both PPY and PAA was also higher in B than P.