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.
BackgroundStudies have shown an inverse relationship between socioeconomic status (SES) and mortality due to coronary heart disease (CHD). Little is known about this association in Iran. This study aimed to investigate whether mortality after myocardial infarction (MI) varies by SES.MethodsIn a retrospective study, 1283 MI patients who hospitalized in Tehran Heart Center from March 2005 to March 2006 were followed up in March 2008. Demographic, clinical and SES data were collected from case records and by telephone interviews. Multiple logistic regression analysis was performed to estimate the predictive effect of socioeconomic factors on outcome.ResultsIn all 664 patients were studied. Of these, 500 patients were alive and 164 were dead due to MI (64 died at hospital and 100 died at home). The results of regression analysis showed that in addition to treatment (OR = 9.52, 95%CI 4.84-18.7), having diabetes (OR = 1.78, 95% CI 1.12-2.81) or hyperlipidemia (OR = 1.82, 95% CI 1.14-2.90), socioeconomic variables including living area in square per person (lowest level vs. upper level OR = 4.92, 95% CI 2.11-11.4), unemployment (OR = 3.50, 95% CI 1.50-8.13) and education (OR for illiterate patients = 2.51, 95% CI 1.00-6.31) were the most significant contributing factors to increased mortality after MI.ConclusionAlthough the findings should be interpreted with caution, the study results indicated that socioeconomic variables were significant contributing factors to increased mortality after myocardial infarction. The underlying role of socioeconomic status on increased mortality after MI deserves further investigation.
Beta (β) thalassemia major is a genetic blood disorder with a deficiency in the hemoglobin beta chain, requiring blood transfusion therapy. Multiple blood transfusions increase the risk of transmitting blood-borne infections. The aim of this study is to determine the frequency of hepatitis C virus (HCV) infection in Iranian individuals with β-thalassemia major. A total of 164 patients with β-thalassemia major were recruited for this study. HCV RNA testing was done on plasma and peripheral blood mononuclear cells (PBMCs) from the HCV seropositive samples (with reverse transcriptase-nested polymerase chain reaction [PCR] method using primers from the 5'-untranslated region [UTR]), and all HCV RNA positive samples were genotyped by the restriction fragment length polymorphism assay. For confirmation of the HCV genotyping in PBMCs of occult HCV infection [OCI]-positive patients, the PCR products of two different regions of HCV (5'-UTR and nonstructural protein 5B [NS5B]) were sequenced. Of 164 patients, 29.3% were positive for anti-HCV antibodies, and HCV RNA was detected in the plasma specimens of 13.4% patients and in the PBMC samples of 15.2% participants. The genomic HCV-RNA was detected in PBMC samples in 3 (6.3%) of the total 48 individuals who were HCV seropositive, and plasma HCV-RNA negative (occult HCV infection). The subtypes of HCV in the plasma and PBMC samples of three participants were not identical. This study shows that among this group of Iranian patients with β-thalassemia major, 13.4% had active HCV infection and 6.3% had occult HCV infection as evidenced by HCV RNA detected in PBMC specimens. Therefore, the design of a prospective study that focuses on the diagnosis of OCI can be very valuable and provide more information.
The presence of hepatitis B virus (HBV) DNA in the absence of traceable hepatitis B surface antigen (HBsAg) in the plasma specimen of patients is defined as occult HBV infection (OBI). This study aimed to detect HBV-DNA in the plasma and peripheral blood mononuclear cells (PBMCs) of Iranian HBsAg negative patients with human immunodeficiency virus (HIV) infection. This cross-sectional study was conducted on 172 patients with HIV infection from September 2015 to August 2017. The patients were tested for serological parameters (HBsAg, HBcAb, HBeAg and HBeAb) against HBV infection. Moreover, they were tested for HBV viral load (using COBAS TaqMan 48 Kit, Roche, USA) in plasma and the presence of the HBV genome in PBMC specimens using real-time PCR. The mean age of the patients was 35.4 ± 13.4 years. Of the 172 studied patients, 109 (63.4%) were male. In this study, 151 (87.8%) patients were negative for HBsAg, 111 (64.5%) patients were negative for all HBV infection serological markers, 9 (5.2%) patients were only positive for HBsAg and 29 (16.9%) patients were only positive for HBcAb. Moreover, five (3.3%) patients with HBsAg negative had OBI (in the plasma sample of four patients and PBMC specimens of all five patients, HBV-DNA was detected). The present study revealed that 3.3% of the patients with HIV infection had occult HBV infection. Presumably, designing prospective studies to identify this infection in patients with HIV infection is informative and valuable.
Background The distribution of population-level real-time reverse transcription-polymerase chain reaction (RT-PCR) cycle threshold (Ct) values as a proxy of viral load may be a useful indicator for predicting COVID-19 dynamics. Objective The aim of this study was to determine the relationship between the daily trend of average Ct values and COVID-19 dynamics, calculated as the daily number of hospitalized patients with COVID-19, daily number of new positive tests, daily number of COVID-19 deaths, and number of hospitalized patients with COVID-19 by age. We further sought to determine the lag between these data series. Methods The samples included in this study were collected from March 21, 2021, to December 1, 2021. Daily Ct values of all patients who were referred to the Molecular Diagnostic Laboratory of Iran University of Medical Sciences in Tehran, Iran, for RT-PCR tests were recorded. The daily number of positive tests and the number of hospitalized patients by age group were extracted from the COVID-19 patient information registration system in Tehran province, Iran. An autoregressive integrated moving average (ARIMA) model was constructed for the time series of variables. Cross-correlation analysis was then performed to determine the best lag and correlations between the average daily Ct value and other COVID-19 dynamics–related variables. Finally, the best-selected lag of Ct identified through cross-correlation was incorporated as a covariate into the autoregressive integrated moving average with exogenous variables (ARIMAX) model to calculate the coefficients. Results Daily average Ct values showed a significant negative correlation (23-day time delay) with the daily number of newly hospitalized patients (P=.02), 30-day time delay with the daily number of new positive tests (P=.02), and daily number of COVID-19 deaths (P=.02). The daily average Ct value with a 30-day delay could impact the daily number of positive tests for COVID-19 (β=–16.87, P<.001) and the daily number of deaths from COVID-19 (β=–1.52, P=.03). There was a significant association between Ct lag (23 days) and the number of COVID-19 hospitalizations (β=–24.12, P=.005). Cross-correlation analysis showed significant time delays in the average Ct values and daily hospitalized patients between 18-59 years (23-day time delay, P=.02) and in patients over 60 years old (23-day time delay, P<.001). No statistically significant relation was detected in the number of daily hospitalized patients under 5 years old (9-day time delay, P=.27) and aged 5-17 years (13-day time delay, P=.39). Conclusions It is important for surveillance of COVID-19 to find a good indicator that can predict epidemic surges in the community. Our results suggest that the average daily Ct value with a 30-day delay can predict increases in the number of positive confirmed COVID-19 cases, which may be a useful indicator for the health system.
One of the important genetic factors related to resistance to HIV‐1 infection is the presence of the C–C chemokine receptor type 5 delta 32 (CCR5‐Δ32) homozygous genotype (Δ32/Δ32). The aim of this study was to evaluate the CCR5‐Δ32 mutation among individuals with high‐risk behaviors, neonates born to HIV‐1‐infected mothers in the prevention of mother‐to‐child transmission (PMTCT) project, HIV‐1‐infected individuals, and healthy people. The frequency of the CCR5‐Δ32 genotype was assessed in a cross‐sectional survey carried out from March 2014 to March 2019 among four different groups of the Iranian population. Genomic DNA was extracted from peripheral blood mononuclear cells of 140 Iranian healthy people, 84 neonates born to HIV‐1‐infected mothers in the PMTCT project, 71 people with high‐risk behaviors, and 76 HIV‐1‐infected individuals. The polymerase chain reaction method was used for the amplification of the CCR5 gene. The CCR5‐Δ32 heterozygous deletion was detected in five (6.6%) HIV‐1‐infected individuals, four (4.7%) neonates born to HIV‐1 positive mothers, two (1.4%) healthy people, and also three (4.2%) people with high‐risk behaviors whereas the CCR5‐Δ32 homozygous deletion was absent in all the groups (Fisher's exact test, P = .0242). The allele of CCR5‐Δ32 homozygous was not detected in the four study groups, and no significant difference was seen in the frequency of the CCR5Δ32 heterozygous allele between HIV seropositive and seronegative individuals. Therefore, it seems that this allele alone cannot explain the natural resistance to HIV‐1 infection and probably several mechanisms are responsible for these processes and it should be further investigated.
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