Genetic linkage analysis of the DFNB48 and DFNB98 loci in families with Autosomal Recessive Non-Syndromic Hearing Loss (ARNSHL) from Khouzestan province

Background and aims: Hearing loss, a sensorineural disorder, is one of the most common congenital impairments, occurring in approximately 1 in 500 newborns. Hearing loss is a highly heterogenic disease and half of the cases of deafness are attributed to genetic causes; environmental and unknown factors account for the remainder. Non-syndromic type forms 70% of hearing loss cases. Pattern of inheritance of nearly 80% of this type of HL is recessive autosomal. Iranian population provides a valuable genetic resource to study this kind of HL because of high ratio of consanguinity. In this study, genetic linkage of DFNB48 (CIB2) and DFNB98 (TSPEAR) is investigated in families with ARNSHL impairment from Khouzestan province. Methods: In this descriptive study 300 individuals of 25 families with hearing loss were examined in order to determine type and frequency of mutation of DFNB48 and DFNB98 loci in Khouzestan province. Families' selection had some criteria. Families with healthy parents, consanguineous marriage and negative result for mutations of GJB2 gene with at least two affected individuals were selected. 3 families which were detected positive for mutations of GJB2 gene were excluded from study. Linkage analysis was done for 22 families by using six STR markers which were located in or were tightly linked to each locus. Results: None of these families inspected by linkage analysis was linked to the DFNB48 or DFNB98 loci. Conclusion: Considering these results it seems that CIB2 and TSPEAR genes mutations have not important roles in hearing loss in Khouzestan province

A novel pathogenic variant in the MARVELD2 gene causes autosomal recessive non-syndromic hearing loss in an Iranian family

BACKGROUND AND AIMS: Hearing loss (HL) is the most common sensorineural disorder and one of the most common human defects. HL can be classified according to main criteria, including: the site (conductive, sensorineural and mixed), onset (pre-lingual and post-lingual), accompanying signs and symptoms (syndromic and non-syndromic), severity (mild, moderate, severe and profound) and mode of inheritance (Autosomal recessive, autosomal dominant, X-linked and mitochondrial). Autosomal recessive non-syndromic HL (ARNSHL) forms constitute a major share of the HL cases. In the present study, next-generation sequencing (NGS) was applied to investigate the underlying etiology of HL in a multiplex ARNSHL family from Khuzestan province, southwest Iran. METHODS: In this descriptive study, 20 multiplex ARNSHL families from Khuzestan province, southwest of Iran were recruited. After DNA extraction, genetic linkage analysis (GLA) was applied to screen for a panel of more prevalent loci. One family, which was not linked to these loci, was subjected to Otogenetics deafness Next Generation Sequencing (NGS) panel. RESULTS: NGS results showed a novel deletion-insertion variant (c.1555delinsAA) in the MARVELD2 gene. The variant which is a frameshift in the seventh exon of the MARVELD2 gene fulfills the criteria of being categorized as pathogenic according to the American College of Medical Genetics and Genomics (ACMG) guideline. CONCLUSION: NGS is very promising to identify the molecular etiology of highly heterogeneous diseases such as HL. MARVELD2 might be important in the etiology of HL in this region of Iran

Co-infection of COVID-19 and parasitic diseases: A systematic review

Co-infection of COVID-19 with other diseases increases the challenges related to its treatment management. COVID-19 co-infection with parasites is studied with low frequency. Here, we systematically reviewed the cases of parasitic disease co-infection with COVID-19. All articles on COVID-19 co-infected with parasites (protozoa, helminths, and ectoparasites), were screened through defined inclusion/exclusion criteria.Of 2190 records, 35 studies remained for data extraction. The majority of studies were about COVID-19 co-infected with malaria, followed by strongyloidiasis, amoebiasis, chagas, filariasis, giardiasis, leishmaniasis, lophomoniasis, myiasis, and toxoplasmosis. No or low manifestation differences were reported between the co-infected cases and naïve COVID-19 or naïve parasitic disease.Although there was a relatively low number of reports on parasitic diseases-COVID-19 co-infection, COVID-19 and some parasitic diseases have overlapping symptoms and also COVID-19 conditions and treatment regimens may cause some parasites re-emergence, relapse, or re-activation. Therefore, more attention should be paid to the on-time diagnosis of COVID-19 and the co-infected parasites

Immunoinformatics and molecular dynamics studies to predict T-cell-specific epitopes of four Klebsiella pneumoniae fimbriae antigens

Klebsiella pneumoniae (K. pneumoniae) is a causative agent of severe infections in humans. There is no publically available vaccine for K. pneumoniae infections yet. Here, using comprehensive immunoinformatics methods, T-cell-specific epitopes of four type 1 fimbriae antigens of K. pneumoniae were predicted and evaluated as potential vaccine candidates. Both CD8þ (class I) and CD4þ (class II) T-cellspecific epitopes were predicted and the epitopes similar to human proteome were excluded. Subsequently, the windows of class-II epitopes containing class-I epitopes were determined. The immunogenicity, IFN-c production and population coverage were also estimated. Using the 3D structure of HLA and epitopes, molecular docking was carried out. Two best epitopes were selected for molecular dynamics studies. Our prediction and analyses resulted in the several dominant epitopes for each antigen. The docking results showed that all selected epitopes can bind to their restricted HLA molecules with high affinity. The molecular dynamics results indicated the stability of system with minimum possible deviation, suggesting the selected epitopes can be promising candidates for stably binding to HLA molecules. Altogether, our results suggest that the selected T-cell-specific epitopes of K. pneumoniae fimbriae antigens, particularly the two epitopes confirmed by molecular dynamics, can be applied for vaccine development. However, the in vitro and in vivo studies are required to authenticate the results of the present study

A novel pathogenic variant in the MARVELD2 gene causes autosomal recessive non-syndromic hearing loss in an Iranian family

Background and aims: Hearing loss (HL) is the most common sensorineural disorder and one of the most common human defects. HL can be classified according to main criteria, including: the site (conductive, sensorineural and mixed), onset (pre-lingual and post-lingual), accompanying signs and symptoms (syndromic and non-syndromic), severity (mild, moderate, severe and profound) and mode of inheritance (Autosomal recessive, autosomal dominant, X-linked and mitochondrial). Autosomal recessive non-syndromic HL (ARNSHL) forms constitute a major share of the HL cases. In the present study, next-generation sequencing (NGS) was applied to investigate the underlying etiology of HL in a multiplex ARNSHL family from Khuzestan province, southwest Iran. Methods: In this descriptive study, 20 multiplex ARNSHL families from Khuzestan province, southwest of Iran were recruited. After DNA extraction, genetic linkage analysis (GLA) was applied to screen for a panel of more prevalent loci. One family, which was not linked to these loci, was subjected to Otogenetics deafness Next Generation Sequencing (NGS) panel. Results: NGS results showed a novel deletion-insertion variant (c.1555delinsAA) in the MARVELD2 gene. The variant which is a frameshift in the seventh exon of the MARVELD2 gene fulfills the criteria of being categorized as pathogenic according to the American College of Medical Genetics and Genomics (ACMG) guideline. Conclusion: NGS is very promising to identify the molecular etiology of highly heterogeneous diseases such as HL. MARVELD2 might be important in the etiology of HL in this region of Iran. Keywords: ARNSHL; DFNB loci; Genetic linkage analysis; NGS

Clinical and laboratory characteristics of children with severe and nonsevere COVID‐19 in Kermanshah, west of Iran: A retrospective study

Abstract Background and Aims The study aimed to collect and compare clinical and laboratory findings of children with severe and nonsevere COVID‐19 in Kermanshah City, located in the west of Iran. Methods The study was conducted on 500 children with COVID‐19 hospitalized in Mohammad‐Kermanshahi Hospital in Kermanshah City. Pediatric COVID‐19 was confirmed by reverse transcription‐polymerase chain reaction (RT‐PCR) test using respiratory secretion samples. Medical records were reviewed and information related to demographic characteristics, underlying diseases, clinical manifestations, laboratory findings, and chest computed tomography (CT) scans were all extracted from electronic and paper records. Patients were divided into three groups according to the severity of the disease: mild, moderate, and severe. Clinical and laboratory findings were compared between the groups and the collected data were analyzed by statistical methods. Results Out of 500 patients, 286 were boys and 214 were girls. Of the patients, 321 cases were only COVID‐19, while 179 patients were diagnosed as Multisystem Inflammatory Syndrome in Children (MIS‐C) positive. The average age of COVID‐19 patients was 3.85 ± 4.48 and of MIS‐C patients was 3.1 ± 3.5. In order, fever, cough, and heart disorders were the most common symptoms in patients with COVID‐19 and MIS‐C, respectively. In terms of disease severity, 246 patients had mild disease, 19 patients had moderate disease, and 56 patients had severe disease. In severe patients, the average number of white blood cells (WBC) was higher, while the average number of lymphocytes was lower. Also, in these patients, the average age was lower, and most of them had respiratory distress. In mild patients, often cough, diarrhea, and vomiting were observed. Conclusion The results of our study showed that laboratory factors such as WBC count, lymphocyte count, CT findings, Respiratory distress, cough, diarrhea, and vomiting can be used to evaluate the severity of COVID‐19 in children