A bioinformatic analysis: Previous allergen exposure may support anti- SARS-CoV-2 immune response.

COVID-19, caused by infection with the SARS-CoV-2 has become a global health problem due to significant mortality rates; the exact pathophysiological mechanism remains uncertain. Articles reporting patient data are quite heterogeneous and have several limitations. Surviving patients develop a CD4 and CD8 T-cell response to the virus SARS-CoV-2 during COVID-19. Interestingly, pre-existing virus-reactive T-cells have been found in patients that were not infected before, suggesting some form of cross-reactivity or immunological mimicry. To better understand this phenomenon, we performed a bioinformatic study, which was aimed to identify antigenic structures that may explain the presence of such "reactive" T-cells, which may support or modulate the immune response to SARS-CoV-2 infections. Seven different common environmental allergen epitopes identical to the SARS-CoV-2 S-protein were identified that share affinity to 8 MHCI-specific epitope regions. Pollen showed the greatest similarity with the S protein epitope. In the epitope similarity analysis between the S protein and MHC-II / T helper epitopes, the highest similarity was determined for mites. When S-protein that stimulates B cells and identical epitope antigens are examined, the most common allergens were hornbeam and wheat. The high epitope similarity observed for the allergens examined and S protein epitopes suggest that these allergens may be a reason for pre-existing SARS-CoV-2 - reactive T-cells in previously non-infected subjects and such a previous exposure may affect the course of the disease in COVID-19 infection. It remains to be determined whether such a previous existence of SARS-CoV-2 reactive cells can support the clearance of the virus or if they, in contrast, may even aggravate the disease course. (Table 4, Ref 54).

Genetic characterisation of 19 autosomal STR loci in a population sample from the Southeastern Anatolia Region of Turkey.

BACKGROUND: Southeastern Anatolia is the smallest, yet the most densely populated region among the seven major geographic constituents of Turkey. Situated in the Upper Mesopotamia, Southeastern Anatolia was also the northernmost extension of the Fertile Crescent, which is often considered as the earliest cradle of civilisation. AIM: To investigate the autosomal STR polymorphisms associated with a truly representative population sample pool from Southeastern Anatolia. SUBJECTS AND METHODS: Samples from a total of 257 volunteers were analysed by 19-loci autosomal STRs using the commercially available COrDIS Plus Kit. Allele frequencies, statistical parameters of forensic interest and Nei's DA distances with respect to the nearby and distant populations were calculated, besides performing exact tests of population differentiation with the same populations. RESULTS: A combined matching probability of 1.49978 × 10-23 and a combined power of exclusion of 0.999999961 were obtained for the novel Southeastern Anatolian autosomal STR dataset. Furthermore, the Southeastern Anatolia population was found to have close genetic affinities with the other regional populations from Turkey, along with those from an apparent genetic continuum extending from the Near East to Southeastern Europe. CONCLUSIONS: The novel Southeastern Anatolian dataset is expected to be useful in regional forensic genetics investigations and molecular anthropology applications.

Association of TAP1 and TAP2 gene polymorphisms with hematological malignancies.

Transporter associated with antigen presenting (TAP) 1 and TAP2 genes are localized in the major histocompatability complex (MHC) class II region and form a heterodimer playing a key role in endogenous pathways for antigen presentation. Defects of these genes have been reported to be common in different types of cancer. Polymorphisms identified in these loci have also been investigated and reported to be associated with several autoimmune disorders, viral infections and neoplasms. In the present study, for the first time, the allele and genotype frequencies of TAP1-333, TAP2-565, TAP2-651 and TAP2-665 were determined in patients with hematological malignancies (HM) using a PCR-RFLP method and compared with the frequencies in the control group. Our results suggested an association of TAP1-333 polymorphism with multiple myeloma-MM and TAP2- 565 polymorphism with chronic lymphoid leukemia-CLL. In addition, it could be concluded that the TAP2-665 GG genotype might be a risk factor for all types of hematological malignancies included in this study.

Association of an LMP2 polymorphism with acute myeloid leukemia and multiple myeloma.

Hematological malignancies (HM) are a group of neoplasms derived from the cells of the bone marrow and lymphatic system. Genetic factors leading to susceptibility to HM have been investigated for years but little is known yet. Low molecular weight polypeptide (LMP) 2 and LMP7 genes are important subunits of the immunoproteasome and play significant role in antigen presentation. The polymorphisms of LMP genes have been reported to be risk factors for various types of diseases. The aim of this study was to investigate the association of LMP2 and LMP7 polymorphisms with the occurrence of particular types of HM. A total of 132 patients with HM and 130 control subjects were investigated. No significant difference was obtained in the distribution of genotype and allele frequencies of LMP7 gene in HM patients and the control group. On the other hand, the prevalence of LMP2-AA genotype was found to be higher in acute myeolid leukemia (AML) patients while it was significantly lower in multiple myeloma (MM) cases than in the control subjects. Our results suggested that LMP7 could not be a risk factor for susceptibility to HM, whereas LMP2 polymorphisms could play a role in the development of AML and MM.