A Role of Variance in Interferon Genes to Disease Severity in COVID-19 Patients.

The rapid rise and global consequences of the novel coronavirus disease 19 (COVID-19) have again brought the focus of the scientific community on the possible host factors involved in patient response and outcome to exposure to the virus. The disease severity remains highly unpredictable, and individuals with none of the aforementioned risk factors may still develop severe COVID-19. It was shown that genotype-related factors like an ABO Blood Group affect COVID-19 severity, and the risk of infection with SARS-CoV-2 was higher for patients with blood type A and lower for patients with blood type O. Currently it is not clear which specific genes are associated with COVID-19 severity. The comparative analysis of COVID-19 and other viral infections allows us to predict that the variants within the interferon pathway genes may serve as markers of the magnitude of immune response to specific pathogens. In particular, various members of Class III interferons (lambda) are reviewed in detail.

Hepatic gene expression of Caucasian and African-American patients with obesity-related non-alcoholic fatty liver disease.

BACKGROUND/AIM: There is increasing data suggesting that African Americans with NAFLD tend to have less progressive liver disease. The aim of this study is to assess differences in the hepatic gene expression of African-American and Caucasian patients with NAFLD who had undergone bariatric surgery. METHODS: A total of 94 patients (81 NAFLD and 13 weight-matched controls with normal liver biopsy) were included. Of the entire cohort, 73 were Caucasians and 21 were African Americans. All patients were undergoing bariatric surgery. Two liver biopsies were obtained at the time of surgery. One biopsy was snap-frozen for gene expression and the other biopsy was stained for pathologic assessment. Liver biopsy confirmed that 24 patients from our cohort had NASH while 57 had only simple steatosis. Snap-frozen liver biopsy specimens of these patients were then used for the RNA extraction. cDNA probes were hybridized with customized microarray gene chips containing 5,220 relevant genes. Gene expression profiles were compared between groups using significance analysis of microarrays algorithm. RESULTS: In comparison to all Caucasian patients, African-American patients had over-expression of EPB41L1, IGF2, FAH, ACSL4, FUT4, CYP3A (q values < 10(-4)). In comparison to Caucasian NAFLD patients, African-American NAFLD patients showed over-expression of EPB41L1 and ACSL4 genes. Finally, in comparison to Caucasian NASH patients, African-American NASH patients showed over-expression of GSTM 2, GSTM4 and GSTM5 as well as FH and ASCL4 genes. Some genes highlighted by this analysis, particularly cytochrome CYP3A and glutathione transferases GSTM2, 4, 5, were previously implicated in the pathogenesis of NASH. CONCLUSION: African-American patients with biopsy-proven obesity-related NAFLD and NASH have a specific hepatic gene expression pattern that may explain their differences from Caucasian patients with NAFLD in developing progressive liver disease.

Widespread distribution of tetracycline resistance genes in a confined animal feeding facility.

We sought to determine the distribution of resistance and the tetracycline resistance genes among bacteria isolated from a swine confined animal feeding facility where tetracycline-containing feed had been in use for over 20 years. Samples collected from feed, hogs, hog houses, waste lagoon, soil, surface water and well water were screened for the presence of (a) resistant Escherichia coli and enterococci and (b) tetracycline-resistant strains of all species. Genomic DNA was extracted from the latter strain collection and fragments from 16S rDNA and ten tetracycline resistance genes (tetA, tetB, tetC, tetE, tetH, tetL, tetM, tetS, tetT and rumB) were polymerase chain reaction-amplified and a partial nucleotide sequence was obtained. In this environment, 77% of E. coli and 68% of enterococci isolated were tetracycline resistant. Tetracycline resistance was found in 26 different bacterial genera and in 60 species. Single resistance gene alleles (as defined by nucleotide sequence) were present in multiple species. There was evidence of gene recombination and multiple different tetracycline resistance genes were present in single bacterial isolates. These data provide further evidence for the widespread distribution of resistance genes in microbial populations in settings in which there is ongoing subtherapeutic antimicrobial use.

Esophagin and proliferating cell nuclear antigen (PCNA) are biomarkers of human esophageal neoplastic progression.

PCNA and esophagin have been implicated in the multistep process of carcinogenesis, but simultaneous characterization of these proteins in the early stages of esophageal neoplastic progression has yet to be undertaken. In morphologically normal esophageal epithelium, esophagin stains the granular layer cells, principally in their cell membrane portions. PCNA, in contrast, stains the nuclei of cells in the parabasal and basal layers. We examined 201 regions from 47 patients that represented different stages of esophageal neoplasia, comprising 34 areas of normal mucosa, 18 of dysplasia in squamous epithelium (DYS/SC), 39 squamous cell carcinoma (SCCA), 29 areas of Barrett's esophagus, 48 of Barrett's dysplasia (DYS/BAR) and 33 areas of adenocarcinoma (AC). The immunostaining patterns of esophagin and PCNA were evaluated and graded for level of expression. There was loss of esophagin expression in the high- and low-grade dysplasias compared to normal epithelia. In the squamous dysplasias, there was more intense staining (of esophagin) in the atypical nuclei and superficial squamous epithelial cells than in the basal cells. PCNA staining was increased in intensity in the high-grade dysplasias relative to normal basal layer cells. Combined analysis of esophagin and PCNA appears to reveal an inverse relationship between proliferation and differentiation during esophageal neoplastic progression. Moreover, this combined staining approach also offers promise for detecting esophageal cancer in early, precancerous stages.

Loss of heterozygosity and mutational analyses of the ACTRII gene locus in human colorectal tumors.

The activin type II receptorgene (ACTRII) is mutated in 58.1% of microsatellite-unstable (MSI-H) colorectal cancers and is a close relative of the TGFbeta-1 type II receptor, which is known to be involved in both MSI-H and non-MSI-H colorectal carcinogenesis. We therefore sought to determine whether ACTRII was involved in non-MSI-H colorectal cancers. We evaluated ACTRII inactivation by allelic deletion, loss of mRNA expression, or somatic mutation in 51 non-MSI-H colon cancers. Loss of heterozygosity (LOH) at the ACTRII locus (2q23.1) was found in 9 (17.6%) of 51 primary tumors. Loss of ACTRII mRNA expression was seen in one (14.3%) of the seven LOH-positive primary tumors from which total RNA was available. We also performed DNA sequencing analysis of tumors showing LOH. One LOH-positive primary tumor exhibited a novel germline missense sequence alteration (amino acid substitution, 117 Ile to Phe) that was not found in 23 additional normal individuals, implying that this alteration is not a frequent polymorphism. We conclude that ACTRII is probably involved in both non-MSI-H and MSI-H colorectal carcinogenesis, but more frequently in the latter subgroup.

An LOH and mutational investigation of the ST7 gene locus in human esophageal carcinoma.

Frequent loss of heterozygosity (LOH) on human chromosome 7q31 has been reported in numerous malignancies. Suppressor of tumorigenicity 7 (ST7) has been identified as a candidate tumor suppressor gene in this region. To identify whether 7q31 and genetic alterations of ST7 were involved in human esophageal carcinogenesis, we performed LOH mapping of a 5.4 cM region at 7q31-q35 in 43 primary esophageal carcinomas, as well as mutational analyses of the ST7 gene in tumors with LOH in this region. Of 43 tumors, 12 (28%) showed LOH at 7q31-q35. These included four (22%) of 18 squamous cell carcinomas and eight (32%) of 25 adenocarcinomas. The peak LOH locus was D7S480, lying 4.2 Mb telomeric to ST7 and showing LOH in eight of 37 informative tumors, or 22%. No mutations were found in the entire coding or flanking intronic regions of the ST7 gene among 12 tumors with 7q-LOH. In addition, quantitative RT-PCR analyses of ST7 mRNA expression levels in 11/13 normal-tumor pairs failed to show more than a 50% decrease in tumor ST7 mRNA relative to matched normal tissues. These data suggest that LOH at 7q31-q35 is involved in the origin or progression of at least a subset of esophageal carcinomas, but that ST7 is not the target gene of this somatic event.

Hypermethylation of HPP1 is associated with hMLH1 hypermethylation in gastric adenocarcinomas.

The HPP1 gene was initially discovered because of its frequent hypermethylation in hyperplastic colon polyps, but it is also hypermethylated in colorectal adenomas and carcinomas. Expression of the DNA mismatch repair gene hMLH1 is diminished or absent in some hyperplastic polyps, and it has been suggested that HPP1 inactivation is associated with the progression of microsatellite-unstable colorectal tumors. We sought then to determine the prevalence of HPP1 silencing by DNA methylation in gastric adenocarcinomas and to define any association of this event with microsatellite instability (MSI) or hMLH1 hypermethylation. Thirty-two matched normal-gastric adenocarcinoma DNA pairs were studied for MSI status and hypermethylation of HPP1 and hMLH1. Five (100%) of 5 MSI-H tumors, 2 (50%) of 4 MSI-L tumors, and 8 (35%) of 23 MSS tumors demonstrated HPP1 hypermethylation. Eight (25%) of 32 tumors (5 of 5 MSI-H, 2 of 4 MSI-L, and 1 of 23 MSS) showed evidence of hMLH1 hypermethylation. All (8 of 8) of these hMLHI-methylated tumors demonstrated concomitant methylation at the HPP1 locus: there were no cases of hMLH1 methylation occurring in the absence of HPP1 methylation. In gastric adenocarcinoma, hypermethylation frequently targets HPP1. Moreover, hMLH1 hypermethylation occurs predominantly in the setting of HPP1 hypermethylation. HPP1 hypermethylation may represent an early event in mismatch repair-deficient gastric tumorigenesis.

Instabilotyping reveals unique mutational spectra in microsatellite-unstable gastric cancers.

Microsatellite instability (MSI) within coding regions causes frameshift mutations (FSMs). This type of mutation may inactivate tumor suppressor genes in cancers with frequent MSI (MSI-H cancers). To identify novel FSMs in gastric carcinogenesis in an unbiased and comprehensive manner, we screened for this type of mutation at 154 coding region repeat loci in 18 MSI-H gastric cancers. We also compared FSM rates and spectra in MSI-H gastric versus colorectal cancers. Thirteen novel loci showed FSMs in >20% of gastric tumors. Novel loci with the highest mutation frequencies included the activin type 2 receptor gene (44.4%), DKFZp564K112 (a homologue of the Drosophila tumor suppressor gene multi-sex-combs; 41.2%), and an endoplasmic reticulum chaperone protein gene SEC63 (37.5%). The mutational spectra for genes with high mutation frequencies were also significantly different between MSI-H gastric and colorectal cancers.

Artificial neural networks and gene filtering distinguish between global gene expression profiles of Barrett's esophagus and esophageal cancer.

cDNAmicroarrays, combined with bioinformatics analyses, are becomingincreasingly used in current medical research. Existing analytic methods,particularly those that are unsupervised, often have difficulty recognizing subtle differences among predefined subgroups. In contrast, supervised methods, such as Artificial Neural Networks (ANNs), are able to recognize subtly different biological entities. We applied ANNs in a proof-of-principle study of cDNA microarray data in esophageal cancer (CA) and premalignancy. cDNA microarrays, each containing 8064 clones, were hybridized to RNAs from 22 esophageal lesions, including 14 Barrett's esophagus (BA) metaplasias and 8 esophageal carcinomas (3 squamous cell carcinomas and 5 adenocarcinomas). Scanned cDNA microarray data were analyzed using the bioinformatics software Cluster/TreeView, Significance Analysis of Microarrays (SAM), and ANNs. Cluster analysis based on all 8064 clones on the microarrays was unable to correctly distinguish BA specimens from CA specimens. SAM then selected 160 differentially expressed genes between Barrett's and cancer. Cluster analysis based on this reduced set still misclassified 2 Barrett's as cancers. The ANN was trained on 12 samples and tested against the remaining 10 samples. Using the 160 selected genes, the ANN correctly diagnosed all 10 samples in the test set. Finally, the 160 genes selected by SAM may merit further study as biomarkers of neoplastic progression in the esophagus, as well as in elucidating pathological mechanisms underlying BA and CA.