Background When a new pathogen, such as severe acute respiratory syndrome coronavirus 2, appears all novel information can aid in the process of monitoring and in the diagnosis of the coronavirus disease (COVID‐19). The aim of the current study is to elucidate the specific miRNA profile which can act as new biomarkers for distinguishing acute COVID-19 disease from the healthy group and those in the post-acute phase of the COVID-19 disease. Methods The expression level of selected miRNAs including let-7b-3p, miR-29a-3p, miR-146a-3p and miR-155-5p were evaluated in peripheral blood mononuclear cells (PBMCs) of COVID-19 patients, in both the acute and post-acute COVID-19 phase of the disease and healthy groups, by real-time PCR assays. Specificity and sensitivity of miRNAs was tested by receiver operating characteristic (ROC) analysis in COVID-19 patients. Results The expression level of all miRNAs in COVID-19 patients was significantly higher than in the healthy group. Therefore, the expression pattern of miR-29a-3p, miR-146a-3p and let-7b-3p in the post-acute COVID-19 phase was significantly different from the acute COVID-19 phase. ROC analyses demonstrated that miR-29a-3p, -155-5p and -146a-3p may serve as the novel biomarker for COVID-19 diagnosis with high specificity and sensitivity. In addition, miR-29a-3p, and -146a-3p can maybe act as novel biomarkers for distinguishing acute from post-acute phase of COVID-19 disease. Discussion The difference in miRNA expression pattern between COVID-19 patients and those in the healthy group, and between acute COVID-19 with post-acute COVID-19, suggested that cellular miRNAs could be used as promising biomarkers for diagnosis and monitoring of COVID-19.

In recent years, the patterns of human immunodeficiency virus 1 (HIV-1) transmission in Iran have been changing gradually from drug injection to unprotected sexual contact. This study sought to investigate the phylogenetic trends and characteristics of transmitted drug resistance (TDR) mutations of HIV-1 in a population that is mainly infected through homo/heterosexual contacts. Sixty newly diagnosed antiretroviral-naive individuals with HIV infection living in Tehran were recruited to this survey, and among them, 42 subjects were established to be infected through sexual intercourse. Following amplification and sequencing of the main part of the HIV-1 pol region, phylogenetic and drug-resistance mutation (DRM) analysis was successfully performed on these 42 patients. Phylogenetic analysis showed that the majority of the subjects were infected with subtype CRF35_AD (88%), followed by subtype B, with 7.1%, and subtype CRF01_AE, with 4.7%. A total of 7.1% of the subjects were found to be infected with HIV-1 variants with surveillance drug-resistant mutations (SDRMs) according to the last world health organisation (WHO) algorithm. All of the identified SDRMs belonged to the non-nucleoside reverse transcriptase inhibitors (NNRTIs) class, including K103 N and V106A, which were found in three patients. Two minor HIV protease-inhibitor-related mutations (L10I and G73S) were detected in two patients, but these mutations are not included in the WHO SDRMs list. The dominance of HIV-1 subtype CRF35_AD was observed among subjects of this study who were infected through sexual contact. The moderate prevalence of SDRMs (7.1%) in this population emphasises the fact that the risk of treatment failure in HIV-infected individuals might increase in the future, and preventive measures should be considered by health authorities.

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Due to the similar routes of transmission, individuals infected with the human immunodeficiency virus (HIV) may become infected with the hepatitis C virus (HCV) simultaneously. The aim of this study was to investigate the frequency of HCV co-infection in Iranian individuals with HIV infection, and to genotype HCV in plasma and PBMC specimens of these patients. From September 2015 to October 2016, a total of 140 Iranian individuals with HIV infection were enrolled in this cross-sectional study. The RNA from plasma and PBMC specimens was extracted, and genomic HCV-RNA was amplified using RT-nested PCR with primers that target 5'-UTR. The HCV genotyping used the RFLP technique. To confirm HCV genotype, 10 randomly selected HCV-positive samples were also submitted for sequencing. The mean age of patients was 35.7 ± 13.5 years (range: 1-66). Out of 140 patients, 62 (44.3 %) were positive for anti-HCV antibodies; among these, viral genomic RNA was detected in 34 (24.3%) and 39 (27.9%) of the plasma and PBMC specimens, respectively. The HCV genotyping showed a similar pattern of subtypes 1a (44% vs 46.2%), 3a (32.4% vs 33.3%), and 1b (17.6% vs 17.9%) in all sera and PBMC samples. It is noteworthy that the HCV genotypes in plasma and PBMC specimens of 6 HCV co-infected patients were not the same. This study reveals that HIV/HCV co-infection is high in Iranian patients (44.3%), especially in people who have high-risk factors (83.9%). Also, HIV/HCV co-infected individuals may have dissimilar HCV genotypes in their plasma and PBMC specimens.

Aim: The aim of this study was to assess the relationship between microRNAs and viral and immunological markers in HIV-1 infection. Materials & methods: The expression level of miRNAs was evaluated in 60 HIV-1 patients and 20 healthy controls using real-time PCR assays. Results: The results showed that among all miRNAs, miR-29 and miR-150 were significantly downregulated in HIV-1 patients compared with healthy controls, while miR-155 and miR-223 were significantly upregulated compared with healthy controls (p < 0.001 for all comparisons). Conclusion: The mentioned miRNAs seem to influence the clinical progression of HIV-1 infection in naive patients. Moreover, determining the profiles of miRNAs involved in the pathogenesis of HIV infection and manipulating these miRNAs could lead to opening a new gate to HIV-1 infection control.