Biochemical predictors for Sars-Cov-2 severity

It is of interest to assess the inflammatory marker profile in SARS-CoV-2 patients and to correlate the levels of systemic inflammatory biomarkers such as neutrophil-to-lymphocyte ratio (NLR), C-Reactive Protein CRP, Ferritin, Creatine kinase (CK), Lactate dehydrogenase (LDH) and liver function analytes total serum proteins, albumin, total bilirubin, direct bilirubin, alkaline phosphatase, aspartate aminotransferase (AST) and alanine aminotransferase (ALT) with the severity of SARS-CoV-2 infections. A total of 1000 COVID-19 positive patient''s data were collected. Laboratory assessments consisted of NLR (neutrophil-lymphocyte ratio) by cell counter, C Reactive Protein (CRP) by immunoturbidimetry, Ferritin by electrochemiluminescence (ECLIA) and Creatine Kinase (CK), Lactate Dehydrogenase (LDH), Alkaline phosphatase (ALP), Aspartate aminotransferase (AST), Alanine aminotransferase (ALT), Total Bilirubin, Direct Bilirubin, Total Protein and Albumin by spectrophotometry. The mean plasma CRP levels, NLR, ferritin, CK and LDH levels were higher in severe cases than in non-severe cases, and the difference was statistically significant (p<0.05). All liver function tests such as the total and direct bilirubin, AST, ALT, ALP, total protein and albumin were higher in severe patients than non-severe patients and the difference was statistically significant (p<0.05). Data indicate that NLR, CRP, Ferritin, CK, LDH and liver function analytes have a crucial role as prognostic markers for SARS-CoV-2 infections and hence should be routinely recommended for risk assessment and stratification of the patients to reduce the associated morbidity and mortality.     

Algorithms and software for support of gene identification experiments

MOTIVATION: Gene annotation is the final goal of gene prediction algorithms. However, these algorithms frequently make mistakes and therefore the use of gene predictions for sequence annotation is hardly possible. As a result, biologists are forced to conduct time-consuming gene identification experiments by designing appropriate PCR primers to test cDNA libraries or applying RT-PCR, exon trapping/amplification, or other techniques. This process frequently amounts to 'guessing' PCR primers on top of unreliable gene predictions and frequently leads to wasting of experimental efforts. RESULTS: The present paper proposes a simple and reliable algorithm for experimental gene identification which bypasses the unreliable gene prediction step. Studies of the performance of the algorithm on a sample of human genes indicate that an experimental protocol based on the algorithm's predictions achieves an accurate gene identification with relatively few PCR primers. Predictions of PCR primers may be used for exon amplification in preliminary mutation analysis during an attempt to identify a gene responsible for a disease. We propose a simple approach to find a short region from a genomic sequence that with high probability overlaps with some exon of the gene. The algorithm is enhanced to find one or more segments that are probably contained in the translated region of the gene and can be used as PCR primers to select appropriate clones in cDNA libraries by selective amplification. The algorithm is further extended to locate a set of PCR primers that uniformly cover all translated regions and can be used for RT-PCR and further sequencing of (unknown) mRNA.      

Variants of ST8SIA1 are associated with risk of developing multiple sclerosis

Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system of unknown etiology with both genetic and environmental factors playing a role in susceptibility. To date, the HLA DR15/DQ6 haplotype within the major histocompatibility complex on chromosome 6p, is the strongest genetic risk factor associated with MS susceptibility. Additional alleles of IL7 and IL2 have been identified as risk factors for MS with small effect. Here we present two independent studies supporting an allelic association of MS with polymorphisms in the ST8SIA1 gene, located on chromosome 12p12 and encoding ST8 alpha-N-acetyl-neuraminide alpha-2,8-sialyltransferase 1. The initial association was made in a single three-generation family where a single-nucleotide polymorphism (SNP) rs4762896, was segregating together with HLA DR15/DQ6 in MS patients. A study of 274 family trios (affected child and both unaffected parents) from Australia validated the association of ST8SIA1 in individuals with MS, showing transmission disequilibrium of the paternal alleles for three additional SNPs, namely rs704219, rs2041906, and rs1558793, with p = 0.001, p = 0.01 and p = 0.01 respectively. These findings implicate ST8SIA1 as a possible novel susceptibility gene for MS.     

Eaf1 is the platform for NuA4 molecular assembly that evolutionarily links chromatin acetylation to ATP-dependent exchange of histone H2A variants

Eaf1 (for Esa1-associated factor 1) and Eaf2 have been identified as stable subunits of NuA4, a yeast histone H4/H2A acetyltransferase complex implicated in gene regulation and DNA repair. While both SWI3-ADA2-N-CoR-TF IIIB domain-containing proteins are required for normal cell cycle progression, their depletion does not affect the global Esa1-dependent acetylation of histones. In contrast to all other subunits, Eaf1 is found exclusively associated with the NuA4 complex in vivo. It serves as a platform that coordinates the assembly of functional groups of subunits into the native NuA4 complex. Eaf1 shows structural similarities with human p400/Domino, a subunit of the NuA4-related TIP60 complex. On the other hand, p400 also possesses an SWI2/SNF2 family ATPase domain that is absent from the yeast NuA4 complex. This domain is highly related to the yeast Swr1 protein, which is responsible for the incorporation of histone variant H2AZ in chromatin. Since all of the components of the TIP60 complex are homologous to SWR1 or NuA4 subunits, we proposed that the human complex corresponds to a physical merge of two yeast complexes. p400 function in TIP60 then would be accomplished in yeast by cooperation between SWR1 and NuA4. In agreement with such a model, NuA4 and SWR1 mutants show strong genetic interactions, NuA4 affects histone H2AZ incorporation/acetylation in vivo, and both preset the PHO5 promoter for activation. Interestingly, the expression of a chimeric Eaf1-Swr1 protein recreates a single human-like complex in yeast cells. Our results identified the key central subunit for the structure and functions of the NuA4 histone acetyltransferase complex and functionally linked this activity with the histone variant H2AZ from yeast to human cells.     

Identification of host proteins associated with retroviral vector particles by proteomic analysis of highly purified vector preparations

The Moloney murine leukemia virus (MMLV) belongs to the Retroviridae family of enveloped viruses, which is known to acquire minute amounts of host cellular proteins both on the surface and inside the virion. Despite the extensive use of retroviral vectors in experimental and clinical applications, the repertoire of host proteins incorporated into MMLV vector particles remains unexplored. We report here the identification of host proteins from highly purified retroviral vector preparations obtained by rate-zonal ultracentrifugation. Viral proteins were fractionated by one-dimensional sodium dodecyl sulfate-polyacrylamide gel electrophoresis, in-gel tryptic digested, and subjected to liquid chromatography/tandem mass spectrometry analysis. Immunogold electron microscopy studies confirmed the presence of several host membrane proteins exposed at the vector surface. These studies led to the identification of 27 host proteins on MMLV vector particles derived from 293 HEK cells, including 5 proteins previously described as part of wild-type MMLV. Nineteen host proteins identified corresponded to intracellular proteins. A total of eight host membrane proteins were identified, including cell adhesion proteins integrin β1 (fibronectin receptor subunit beta) and HMFG-E8, tetraspanins CD81 and CD9, and late endosomal markers CD63 and Lamp-2. Identification of membrane proteins on the retroviral surface is particularly attractive, since they can serve as anchoring sites for the insertion of tags for targeting or purification purposes. The implications of our findings for retrovirus-mediated gene therapy are discussed.     

Ratio-dependent parasitism with Trissolcus basalis (Wollaston) (Hymenoptera: Scelionidae) on egg rafts of Nezara viridula (Linnaeus) (Hemiptera: Pentatomidae): effect of experimental variables and compatibility of 'ratio' and 'Holling' models

Abstract Egg rafts of Nezara viridula were exposed to the parasitoid wasp Trissolcus basalis in experimental arenas to establish the relationship of the rates of attack and parasitism to various combinations of arena size, parasitoid density, host density and parasitoid-to-host ratio. Arena sizes were varied in the ratio 1:9:63, with the largest having a search area of 1.44 m². Parasitoid and host densities were varied over a 27-fold range. The parasitoid-to-host ratios used were 1:1, 3:1 and 6:1. Finding time was related to a constant factor (flight propensity), rather than to the difficulty of finding (density of hosts). Initial attack rates were therefore related only to parasitoid numbers (or density), even at the lower densities and ratios. Parasitism rates (a function of attack rate per host) were thus also strongly related to parasitoid to host ratio, regardless of densities used and arena sizes. Even reducing host density, while keeping time and parasitoid density constant, increased the parasitism rate. A ratio model for parasitism rate was therefore compatible with the data but the more explicit Holling 'disc' equation was also compatible because handling time was sufficiently large to make it sensitive to the ratio of parasitoids to hosts for the densities used. We conclude that the two models would predict different results if the density of host egg rafts was in a range below one per square metre.