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Genes involved in the regulation of viral recognition and its entry into a host cell have been identified as candidates for genetic association studies on COVID-19 severity. Published findings on the effects of polymorphisms within ACE1 , ACE2 , TMPRSS2 , IFITM3 and VDR genes remained inconclusive, so we conducted a systematic review and meta-analysis in order to elucidate their potential involvement in the genetic basis underlying the severity of COVID-19 and/or an outcome of SARS-CoV-2 infection. Identification of potentially eligible studies was based on PubMed, Scopus and Web of Science database search. Relevant studies (n=29) with a total number of 8247 SARS-CoV-2-positive participants were included in qualitative synthesis, while results of 21 studies involving 5939 were pooled in meta-analysis. Minor allele I of rs1799752 located within ACE1 was identified as a protective variant against severe COVID-19, while its effect on mortality rate was opposite. Similarly, minor allele A of ACE2 polymorphism, rs2285666, was found to associate with a decreased risk of severe COVID-19 ( P = 0.003, OR = 0.512, 95 % CI = 0.331-0.793). Statistical significance was also seen for the association between COVID-19 severity and rs12329760 located within TMPRSS2 . Our results did not support the supposed association of rs12252 in IFITM3 and polymorphisms within VDR with disease severity. We conclude that genetic variants within ACE1 , ACE2 and TMPRSS2 may be potential biomarkers of COVID-19 severity, which needs to be further confirmed in a larger set of studies.

Due to their pivotal role in orchestrating the immune response, HLA loci were recognized as candidates for genetic association studies related to the severity of COVID‐19. Since the findings on the effects of HLA alleles on the outcome of SARS‐CoV‐2 infection remain inconclusive, we aimed to elucidate the potential involvement of genetic variability within HLA loci in the molecular genetics of COVID‐19 by classifying the articles according to different disease severity/outcomes and by conducting a systematic review with meta‐analysis. Potentially eligible studies were identified by searching PubMed, Scopus and Web of Science literature databases. A total of 28 studies with 13,073 participants were included in qualitative synthesis, while the results of 19 studies with 10,551 SARS‐CoV‐2‐positive participants were pooled in the meta‐analysis. According to the results of quantitative data synthesis, association with COVID‐19 severity or with the lethal outcome was determined for the following alleles and allele families: HLA‐A*01, HLA‐A*03, HLA‐A*11, HLA‐A*23, HLA‐A*31, HLA‐A*68, HLA‐A*68:02, HLA‐B*07:02, HLA‐B*14, HLA‐B*15, HLA‐B*40:02, HLA‐B*51:01, HLA‐B*53, HLA‐B*54, HLA‐B*54:01, HLA‐C*04, HLA‐C*04:01, HLA‐C*06, HLA‐C*07:02, HLA‐DRB1*11, HLA‐DRB1*15, HLA‐DQB1*03 and HLA‐DQB1*06 (assuming either allelic or dominant genetic model). We conclude that alleles of HLA‐A, ‐B, ‐C, ‐DRB1 and ‐DQB1 loci may represent potential biomarkers of COVID‐19 severity and/or mortality, which needs to be confirmed in a larger set of studies.

Purpose Disease or a specific condition may cause alteration of human transferrin (hTf) glycosylation pattern. A specific analytical platform, lectin‐based protein microarray, is designed and optimized for the investigation of hTf glycans, attached to the protein core in their native form. Experimental design hTf molecules isolated from healthy persons of different age, diabetes mellitus type 2 (T2DM) or colorectal carcinoma (CRC) patients are used for method validation. Reliability of the results is ensured by three criteria for the evaluation of hTf–lectin interactions: i) signal‐to‐noise ratio above 3, ii) signal intensity above 250 arbitrary units, and iii) hTf concentration ensuring high sensitivity of the assay. Results Six lectins, out of fourteen tested, satisfy the criteria. hTf is spotted at concentration of 50 µg mL−L. When physiological samples (isolated hTf) are analyzed, the highest potential to differentiate between population groups expresses Aleuria aurantia (AAL), Triticum vulgaris (WGA) and Phaseolus vulgaris (PHA‐E) lectins. The initial amount of hTf which can be analyzed is very low (75 pg). Conclusion and clinical relevance Results confirm that a very sensitive, high‐throughput lectin‐based protein microarray platform can be formulated to detect changes in hTf glycan structures which can be considered as biomarkers of ageing or a disease.

Haemangiomas of the nasal cavity are rare benign tumours which usually arise in the Kiesselbach triangle of the septum. Mostly they are seen in young population with peak age 20 years. Epistaxis is the most common symptom in these patients. We present a case of a 62-year-old woman with recurrent epistaxis. On examination she had had an obstruction of both nasal cavities. Computed tomography imaging demonstrated a well-defined tumour originating from the posterior tip of the right inferior turbinate, passing into the nasopharynx. The tumour was managed via endoscopic endonasal approach. The histological analysis revealed a tumour tissue with the appearance of a cavernous haemangioma as well as capillary haemangioma. A focus of intravascular endothelial papillary hyperplasia was also observed. In patients with endonasal benign tumours choice of surgical approach depends on the exact location of the tumour and suspected pathology. The transnasal endoscopic approach and bipolar cautery resection enable adequate exposure and visualization of the tumour, control of bleeding and complete removal of the tumour.

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α-Oxoaldehydes, which are produced in higher quantities in diabetes, uremia, oxidative stress, inflammation and aging, react with the amino, guanidine and thiol groups of proteins and cause the formation of advanced glycated end-products and protein cross-linking. To prevent these reactions, the efficiency of low molecular mass thiols with an α-amino-β-mercapto-ethane group (Cys, penicillamine and N-acetylcysteine (NAcCys, with a blocked amino group)) as scavengers of methylglyoxal, compared with glutathione (GSH) and the biguanidine derivative metformin, was investigated. The time courses of the reactions of the aforementioned compounds with methylglyoxal were assayed. The reactivity of their thiol and amino groups decreased in the order of Cys > penicillamine > GSH > NAcCys and penicillamine > Cys > GSH, respectively. Human serum albumin (HSA) carbonylation in the absence or presence of methylglyoxal scavengers were monitored by the determination of the amino, guanidine and thiol groups' contents, as well as by spectrofluorimetry, CD and native and SDS PAGE. Cys and penicillamine were highly efficient in the prevention of the carbonylation of the HSA-amino (for 80%) and guanidine (for 84% and 55%, respectively) groups and the formation of fluorescent AGEs. GSH and metformin exhibited medium efficiency (reduction of amino group's carbonylation for 60% and guanidine for about 30%); the least efficient was NAcCys. The presence of Cys, penicillamine and NAcCys led to an almost complete protection of the HSA-thiol group's carbonylation, whereas metformin was inefficient. The efficiency in the prevention of protein cross-linking increased in the order of metformin, NAcCys < GSH < penicillamine < Cys. Thus, the substances with an α-amino-β-mercapto-ethane group as a pharmacophore exhibit great potential as an efficient methylglyoxal scavengers, and are thus promising compounds for medicinal chemistry. In addition, they protect the HSA-SH group and preserve its antioxidative potential, which is very important for the HSA's function in vivo.