Transgenerational effects of paternal exposures: the role of germline de novo mutations.

Germline de novo mutations (DNMs) refer to spontaneous mutations arising during gametogenesis, resulting in genetic changes within germ cells that are subsequently transmitted to the next generation. While the impact of maternal exposures on germline DNMs has been extensively studied, more recent studies have begun to highlight the increasing importance of the effects of paternal factors. In this review, we have summarized the existing literature on how various exposures experienced by fathers affect the germline DNM burden in their spermatozoa, as well as their consequences for semen analysis parameters, pregnancy outcomes, and offspring health. A growing body of literature supports the conclusion that advanced paternal age (APA) correlates with a higher germline DNM rate in offspring. Furthermore, lifestyle choices, environmental toxins, assisted reproductive techniques (ART), and chemotherapy are associated with the accumulation of paternal DNMs in spermatozoa, with deleterious consequences for pregnancy outcomes and offspring health. Ultimately, our review highlights the clear importance of the germline DNM mode of inheritance, and the current understanding of how this is affected by various paternal factors. In addition, we explore conflicting reports or gaps of knowledge that should be addressed in future research.

Sperm telomere length in male-factor infertility and reproduction.

The underlying reasons for male-factor infertility are often unknown. 30% of all men have unexplained semen analysis abnormalities. Moreover, 15%-40% of infertile men have normal semen analyses. There have been increasing efforts to identify causes and associations that may explain idiopathic male-factor infertility. Telomeres have become an area of considerable interest in the field because of the essential roles they have in cellular division and genome integrity. Research to date most consistently supports that men with infertility have shorter sperm telomere length (STL); however, associations between shorter STL and meaningful reproductive health outcomes are less consistent. There is a major need for additional studies to better identify the role of STL in male reproductive health and use the information to improve the counseling and treatment of couples with idiopathic male-factor infertility.

Can magnetic resonance imaging differentiate muscle invasion (T2) and lamina propria invasion (T1) urothelial carcinoma of the bladder? A systematic review and meta-analysis of Vesical Imaging-Reporting and Data System accuracy.

Background: Vesical Imaging-Reporting and Data System (VI-RADS) was developed as a structured reporting tool to anticipate the possibility of muscle invasion. This study is aimed to investigate the diagnostic accuracy of VI-RADS for discriminating T2 from T1 bladder cancer. Materials and methods: Scopus, Web of Science, PubMed, and Embase were searched on October 4, 2021, for studies with the following characteristics: (1) bladder cancer patient population, (2) VI-RADS as an index test, (3) retransurethral resection of bladder tumor/cystectomy as a reference, and (4) adequate VI-RADS score data for T1 and T2 lesions. The analyses were performed using the binary regression model of MIDAS in Stata. Results: Six studies with 624 magnetic resonance imaging reports were included. The receiver operating characteristics curve for differentiation of T2 from T1 bladder cancer showed an area under the curve of 0.93 (95% confidence interval [CI], 0.91-0.95) for a VI-RADS ≥3 and 0.75 (95% CI, 0.71-0.79) for a VI-RADS ≥4. A VI-RADS ≥3 showed high sensitivity of 93% (95% CI, 85%-97%), specificity of 61% (95% CI, 30%-86%), positive likelihood ratio of 2.4 (95% CI, 1.1-5.3), and negative likelihood ratio of 0.11 (95% CI, 0.05-0.24). A total of 10.4% of T2 lesions were scored as VI-RADS 2, while 10% of T1 lesions were scored as VI-RADS 4 or 5. Conclusions: The VI-RADS ≥3 has high accuracy and sensitivity for detecting muscle invasion in borderline populations of T1 or T2 bladder cancer. Thus, the VI-RADS could be a good non-invasive screening test for the detection of T2 urothelial lesions.

The Prevalence of Depression and Anxiety in Women with Ovarian Cancer: An Updated Systematic Review and Meta-Analysis of Cross-Sectional Studies.

BACKGROUND: The results of this study included the prevalence of anxiety and depression in women with ovarian cancer. METHODS: A thorough search of numerous databases, including PubMed (Medline), Scopus, Web of Science, Embase, and PsycoInfo, was conducted to identify relevant cross-sectional studies published between July 2013 and October 2021. STATA 16 was used to analyses the data, and a random effects model was used to determine the pooled prevalence and a 95% confidence interval (95%CI). RESULTS: Of the 18 cross-sectional studies reviewed, 17 reported the prevalence of anxiety and 16 reported the prevalence of depression in patients with ovarian cancer. There was a moderate degree of heterogeneity between studies, as the pooled prevalence of depression was 27% (95%CI: 14%-41%; I2=69.44%). Similarly, there was a greater degree of heterogeneity in the pooled prevalence of anxiety, which was found to be 33% (95%CI: 21%-44%; I2=78.55%). CONCLUSION: The findings of this study show that, compared to the overall female population, ovarian cancer patients have much greater rates of sadness and anxiety. These results highlight the necessity for healthcare policymakers to prioritize the provision of resources and support for carrying out additional research, such as longitudinal studies or cohorts, to ascertain the efficacy of various treatments or interventions intended to lessen mental health disorders in women diagnosed with ovarian cancer. Healthcare practitioners can enhance the general wellbeing and quality of life for women with this disease by addressing the psychological components of care.

Scleromyxedema in an adult following Sinopharm BBIBP-CorV vaccination: An extremely rare phenomenon.

Introduction: The Sinopharm BBIBP-CorV vaccine produces a variety of cutaneous adverse effects. Scleromyxedema is a mucinous connective tissue disorder that causes skin thickness and sclerodermoid changes. According to our findings, this is the first case of scleromyxedema induced by the Sinopharm immunization. Case description: We discuss the case of a 75-year-old woman who acquired progressive thickening of the skin in her limbs and trunk after getting the Sinopharm vaccination. Examination, laboratory testing, and a biopsy were used to verify scleromyxedema diagnosis. Intravenous immunoglobulins, mycophenolate mofetil, and prednisolone were used in the treatment of the patient. The outcomes from the 4-month follow-up were reassuring. Conclusion: This study emphasizes the need of considering scleromyxedema as a connective tissue pathology in patients who have recently received Sinopharm vaccine and have similar cutaneous signs.

Metabolomics profile and 10-year atherosclerotic cardiovascular disease (ASCVD) risk score.

Background: The intermediate metabolites associated with the development of atherosclerotic cardiovascular disease (ASCVD) remain largely unknown. Thus, we conducted a large panel of metabolomics profiling to identify the new candidate metabolites that were associated with 10-year ASCVD risk. Methods: Thirty acylcarnitines and twenty amino acids were measured in the fasting plasma of 1,102 randomly selected individuals using a targeted FIA-MS/MS approach. The 10-year ASCVD risk score was calculated based on 2013 ACC/AHA guidelines. Accordingly, the subjects were stratified into four groups: low-risk (n = 620), borderline-risk (n = 110), intermediate-risk (n = 225), and high-risk (n = 147). 10 factors comprising collinear metabolites were extracted from principal component analysis. Results: C4DC, C8:1, C16OH, citrulline, histidine, alanine, threonine, glycine, glutamine, tryptophan, phenylalanine, glutamic acid, arginine, and aspartic acid were significantly associated with the 10-year ASCVD risk score (p-values ≤ 0.044). The high-risk group had higher odds of factor 1 (12 long-chain acylcarnitines, OR = 1.103), factor 2 (5 medium-chain acylcarnitines, OR = 1.063), factor 3 (methionine, leucine, valine, tryptophan, tyrosine, phenylalanine, OR = 1.074), factor 5 (6 short-chain acylcarnitines, OR = 1.205), factor 6 (5 short-chain acylcarnitines, OR = 1.229), factor 7 (alanine, proline, OR = 1.343), factor 8 (C18:2OH, glutamic acid, aspartic acid, OR = 1.188), and factor 10 (ornithine, citrulline, OR = 1.570) compared to the low-risk ones; the odds of factor 9 (glycine, serine, threonine, OR = 0.741), however, were lower in the high-risk group. "D-glutamine and D-glutamate metabolism", "phenylalanine, tyrosine, and tryptophan biosynthesis", and "valine, leucine, and isoleucine biosynthesis" were metabolic pathways having the highest association with borderline/intermediate/high ASCVD events, respectively. Conclusions: Abundant metabolites were found to be associated with ASCVD events in this study. Utilization of this metabolic panel could be a promising strategy for early detection and prevention of ASCVD events.

Obesity as an independent risk factor for COVID-19 severity and mortality.

BACKGROUND: Since December 2019, the world has struggled with the COVID-19 pandemic. Even after the introduction of various vaccines, this disease still takes a considerable toll. In order to improve the optimal allocation of resources and communication of prognosis, healthcare providers and patients need an accurate understanding of factors (such as obesity) that are associated with a higher risk of adverse outcomes from the COVID-19 infection. OBJECTIVES: To evaluate obesity as an independent prognostic factor for COVID-19 severity and mortality among adult patients in whom infection with the COVID-19 virus is confirmed. SEARCH METHODS: MEDLINE, Embase, two COVID-19 reference collections, and four Chinese biomedical databases were searched up to April 2021. SELECTION CRITERIA: We included case-control, case-series, prospective and retrospective cohort studies, and secondary analyses of randomised controlled trials if they evaluated associations between obesity and COVID-19 adverse outcomes including mortality, mechanical ventilation, intensive care unit (ICU) admission, hospitalisation, severe COVID, and COVID pneumonia. Given our interest in ascertaining the independent association between obesity and these outcomes, we selected studies that adjusted for at least one factor other than obesity. Studies were evaluated for inclusion by two independent reviewers working in duplicate.  DATA COLLECTION AND ANALYSIS: Using standardised data extraction forms, we extracted relevant information from the included studies. When appropriate, we pooled the estimates of association across studies with the use of random-effects meta-analyses. The Quality in Prognostic Studies (QUIPS) tool provided the platform for assessing the risk of bias across each included study. In our main comparison, we conducted meta-analyses for each obesity class separately. We also meta-analysed unclassified obesity and obesity as a continuous variable (5 kg/m2 increase in BMI (body mass index)). We used the GRADE framework to rate our certainty in the importance of the association observed between obesity and each outcome. As obesity is closely associated with other comorbidities, we decided to prespecify the minimum adjustment set of variables including age, sex, diabetes, hypertension, and cardiovascular disease for subgroup analysis.  MAIN RESULTS: We identified 171 studies, 149 of which were included in meta-analyses.  As compared to 'normal' BMI (18.5 to 24.9 kg/m2) or patients without obesity, those with obesity classes I (BMI 30 to 35 kg/m2), and II (BMI 35 to 40 kg/m2) were not at increased odds for mortality (Class I: odds ratio [OR] 1.04, 95% confidence interval [CI] 0.94 to 1.16, high certainty (15 studies, 335,209 participants); Class II: OR 1.16, 95% CI 0.99 to 1.36, high certainty (11 studies, 317,925 participants)). However, those with class III obesity (BMI 40 kg/m2 and above) may be at increased odds for mortality (Class III: OR 1.67, 95% CI 1.39 to 2.00, low certainty, (19 studies, 354,967 participants)) compared to normal BMI or patients without obesity. For mechanical ventilation, we observed increasing odds with higher classes of obesity in comparison to normal BMI or patients without obesity (class I: OR 1.38, 95% CI 1.20 to 1.59, 10 studies, 187,895 participants, moderate certainty; class II: OR 1.67, 95% CI 1.42 to 1.96, 6 studies, 171,149 participants, high certainty; class III: OR 2.17, 95% CI 1.59 to 2.97, 12 studies, 174,520 participants, high certainty). However, we did not observe a dose-response relationship across increasing obesity classifications for ICU admission and hospitalisation. AUTHORS' CONCLUSIONS: Our findings suggest that obesity is an important independent prognostic factor in the setting of COVID-19. Consideration of obesity may inform the optimal management and allocation of limited resources in the care of COVID-19 patients.

Development of a comprehensive assessment tool to measure the quality of care for individuals with traumatic spinal cord injuries.

OBJECTIVE: To develop a comprehensive assessment tool to evaluate the Quality of Care (QoC) in managing individuals with traumatic spinal cord injuries (TSCI). METHOD: At first, the concepts of QoC for TSCI were identified by conducting a qualitative interview along with re-evaluation of the results of a published scoping review (conceptualization). After operationalization of indicators, they were valued by using the expert panel method. Afterward, the content validity index (CVI) and content validity ratio (CVR) were calculated and served as cut-offs for indicator selection. Then specific questions were developed for each indicator and classified into three categories: pre-hospital, in-hospital, and post-hospital. Data availability of the National Spinal Cord Injury Registry of Iran (NSCIR-IR) was subsequently used to design questions that represent indicators in an assessment tool format. The comprehensiveness of the tool was evaluated using a 4-item Likert scale by the expert panel. RESULT: Twelve experts participated in conceptualization and 11 experts participated in operationalization phase. Overall, 94 concepts for QoC were identified from published scoping review (87 items) and qualitative interviews (7 items). The process of operationalization and indicator selection led to the development of 27 indicators with acceptable content validity. Finally, the assessment tool contained three pre-hospital, twelve in-hospital, nine post-hospital, and three mixed indicators. Ninety-one percent of experts evaluated the entire tool as comprehensive. CONCLUSION: Our study presents a health-related QoC tool that contains a comprehensive set of indicators to assess the QoC for individuals with TSCI. However, this tool should be used in various situations to establish construct validity further.

Diagnostic accuracy of circular RNA for diabetes Mellitus: a systematic review and diagnostic Meta-analysis.

BACKGROUND: This study aimed to investigate the pooled diagnostic ability of circular RNA (circRNA) molecules for diabetes mellitus. METHODS: We searched PubMed, Scopus, and Web of Science for relevant studies. A total of 2070 participants, including 775 diabetic patients and 1295 healthy individuals, from five studies were included in this meta-analysis. True positive, true negative, false positive, and false negative data were extracted to calculate pooled sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and area under the receiver operating characteristics curve. The Deeks' funnel plot was applied for publication bias assessment, Cochran's Q test and I2 index were applied for inter-study heterogeneity assessment. Besides, a subgroup analysis was performed for determining the source of heterogeneity between studies. P value < 0.05 was considered significance. All analysis were done by STATA version 14. RESULTS: CircRNA presented a sensitivity of 76% (95% confidence interval [95%CI]: 66-84%), specificity of 77% (95%CI: 58-89%), positive LR of 3.25 (95%CI: 1.69-6.23), negative LR of 0.31 (95%CI: 0.21-0.46), DOR of 10.41 (95%CI: 4.26-25.41), and AUC of 0.82 (95%CI: 0.79-0.85) for diabetes mellitus detection. More specifically, hsa_circ_0054633 showed a sensitivity of 67% (95%CI: 53-81%) and a specificity of 82% (95%CI: 63-100%). CONCLUSION: CircRNAs show highly accurate diagnostic capability for type 2 diabetes mellitus and gestational diabetes mellitus. High sensitivity of circRNAs introduces them as potential noninvasive biomarkers for early diagnosis of diabetes mellitus and their high specificity introduces them as potential therapeutic targets by regulation of their expression.

The association between acylcarnitine and amino acids profile and metabolic syndrome and its components in Iranian adults: Data from STEPs 2016.

Background: Evidence, albeit with conflicting results, has suggested that cardiometabolic risk factors, including obesity, type 2 diabetes (T2D), dyslipidemia, and hypertension, are highly associated with changes in metabolic signature, especially plasma amino acids and acylcarnitines levels. Here, we aimed to evaluate the association of circulating levels of amino acids and acylcarnitines with metabolic syndrome (MetS) and its components in Iranian adults. Methods: This cross-sectional study was performed on 1192 participants from the large-scale cross-sectional study of Surveillance of Risk Factors of non-communicable diseases (NCDs) in Iran (STEP 2016). The circulating levels of amino acids and acylcarnitines were measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS) in individuals with MetS (n=529) and without MetS (n=663). Results: The higher plasma levels of branched-chain amino acids (Val, Leu), aromatic amino acids (Phe, Tyr), Pro, Ala, Glu, and the ratio of Asp to Asn were significantly associated with MetS, whereas lower circulating levels of Gly, Ser, His, Asn, and citrulline were significantly associated with MetS. As for plasma levels of free carnitine and acylcarnitines, higher levels of short-chain acylcarnitines (C2, C3, C4DC), free carnitine (C0), and long-chain acylcarnitines (C16, C18OH) were significantly associated with MetS. Principal component analysis (PCA) showed that factor 3 (Tyr, Leu, Val, Met, Trp, Phe, Thr) [OR:1.165, 95% CI: 1.121-1.210, P<0.001], factor 7 (C0, C3, C4) [OR:1.257, 95% CI: 1.150-1.374, P<0.001], factor 8 (Gly, Ser) [OR:0.718, 95% CI: 0.651-0.793, P< 0.001], factor 9 (Ala, Pro, C4DC) [OR:1.883, 95% CI: 1.669-2.124, P<0.001], factor 10 (Glu, Asp, C18:2OH) [OR:1.132, 95% CI: 1.032-1.242, P= 0.009], factor 11 (citrulline, ornithine) [OR:0.862, 95% CI: 0.778-0.955, P= 0.004] and 13 (C18OH, C18:1 OH) [OR: 1.242, 95% CI: 1.042-1.480, P= 0.016] were independently correlated with metabolic syndrome. Conclusion: Change in amino acid, and acylcarnitines profiles were seen in patients with MetS. Moreover, the alteration in the circulating levels of amino acids and acylcarnitines is along with an increase in MetS component number. It also seems that amino acid and acylcarnitines profiles can provide valuable information on evaluating and monitoring MetS risk. However, further studies are needed to establish this concept.

Association of plasma acylcarnitines and amino acids with hypertension: A nationwide metabolomics study.

BACKGROUND: Identification of metabolomics profile in subjects with different blood pressure, including normal blood pressure, elevated blood pressure, stage 1 hypertension, and stage 2 hypertension, would be a promising strategy to understand the pathogenesis of hypertension. Thus, we conducted this study to investigate the association of plasma acylcarnitines and amino acids with hypertension in a large Iranian population. METHODS: 1200 randomly selected subjects from the national survey on the Surveillance of Risk Factors of Non-Communicable Diseases in Iran (STEPs 2016) were divided into four groups based on the ACC/AHA hypertension criteria: normal blood pressure (n = 293), elevated blood pressure (n = 135), stage 1 hypertension (n = 325), and stage 2 hypertension (n = 447). Plasma concentrations of 30 acylcarnitines and 20 amino acids were measured using a targeted approach with flow-injection tandem mass spectrometry. Univariate and multivariate logistic regression analysis was applied to estimate the association between metabolites level and the risk of hypertension. Age, sex, BMI, total cholesterol, triglyceride, HDL cholesterol, fasting plasma glucose, use of oral glucose-lowering drugs, statins, and antihypertensive drugs were adjusted in regression analysis. RESULTS: Of 50 metabolites, 34 were associated with an increased likelihood of stage 2 hypertension and 5 with a decreased likelihood of stage 2 hypertension. After full adjustment for potential confounders, 5 metabolites were still significant risk markers for stage 2 hypertension including C0 (OR = 0.75; 95%CI: 0.63, 0.90), C12 (OR = 1.18; 95%CI: 1.00, 1.40), C14:1 (OR = 1.20; 95%CI: 1.01, 1.42), C14:2 (OR = 1.19; 95%CI: 1.01, 1.41), and glycine (OR = 0.81; 95%CI: 0.68, 0.96). An index that included glycine and serine also showed significant predictive value for stage 2 hypertension after full adjustment (OR = 0.86; 95%CI: 0.75, 0.98). CONCLUSIONS: Five metabolites were identified as potentially valuable predictors of stage 2 hypertension.

Oral health-related quality of life in rheumatoid arthritis: a comparative analysis.

BACKGROUND: Compared to the healthy population, the psychological impact of rheumatoid arthritis(RA) on patients' lives could dramatically lower their oral health-related quality of life (OHRQoL). Our goal is to analyze OHRQoL in RA patients and look into the role of disease activity, dental health index, and Temporomandibular disorders score in maintaining their oral health. METHODS: In a cross-sectional comparative study, we compared a sample of 40 RA patients with 40 age- and gender-matched healthy controls in terms of oral health and OHRQoL. Temporomandibular disorders (TMD), number of decayed, filled, or missing teeth (DMFT), and Oral Health Impact Profile (OHIP) were among the oral health factors studied (OHIP-14). This study also looked at the link between the RA disease activity score (DAS28) and oral health factors. RESULTS: RA patients had a significantly higher mean (poorer OHRQol) than healthy controls in total oral function, total psychosocial impact, OHIP-14 sum score, OHIP-14 extent score, TMD score and the number of missed teeth (Mann-Whitney U test, P-value < 0.05). After adjustment for DMFT, only the oral function score of OHIP-14 had a significant correlation with disease activity (Mann-Whitney U test, P-value < 0.05). The TMD sum score significantly correlated with disease activity regardless of adjustment for DMFT (Spearman's Correlation test, P-value < 0.05 for both). The number of decayed teeth and missed teeth showed a positive correlation with increased disease activity (Coefficient = 0.239 and 0.245, P-value < 0.05 for both). CONCLUSIONS: Patients with RA are less satisfied with their oral health than healthy controls. In RA patients, the number of missing teeth and temporomandibular disorders was substantially greater, and the number of missing teeth and temporomandibular diseases increased significantly with increased disease activity. Although OHRQoL was inversely connected with RA activity, after correcting for decaying, missing, and filled teeth, only the oral function score of OHIP-14 exhibited a slight connection to DAS28.

Inter-reader reliability of the vesical imaging-reporting and data system (VI-RADS) for muscle-invasive bladder cancer: a systematic review and meta-analysis.

To evaluate the diagnostic agreement between readers in VI-RADS interpretation to detect muscle-invasive bladder cancer (MIBC) preoperatively, we conducted a systematic review and meta-analysis of the available data. Scopus, PubMed, Web of Science, and Embase databases were systematically searched up to November 13, 2021. Case reports, review articles, editorials, and studies with insufficient data were eliminated. The Quality Appraisal of the Diagnostic Reliability Checklist was used to assess the risk of bias. The degree of agreement was determined by Cohen's kappa coefficient (κ) for comparison of data. The heterogeneity of these studies was explored using subgroup analysis and meta-regression analysis. The level of confidence was set at 0.05. All analyses were conducted in STATA 16.0. Overall, 19 eligible studies, consisting of 2439 participants, were included in this meta-analysis. The inter-reader agreement for VI-RADS in MIBC detection ranged from κ of 0.45 to 0.96 among included studies. The pooled inter-reader reliability was calculated as 0.76 [95% CI 0.73-0.80; I2 = 92.13%, Q(50) = 635.08, p < 0.01]. Sources of heterogeneity included magnetic strength, T2WI slice thickness, number of readers, sample size, study design, number of centers, year of publication, proportion of male patients, and mean age. There is substantial reliability in VI-RADS interpretation for MIBC among radiologists with various levels of expertise. The high degree of inter-reader agreement for MIBC detection supports the implementation of VI-RADS in routine clinical practice for the staging paradigm of bladder cancer.

Metabolic signatures of insulin resistance in non-diabetic individuals.

BACKGROUND: Insulin resistance (IR) evolved from excessive energy intake and poor energy expenditure, affecting the patient's quality of life. Amino acid and acylcarnitine metabolomic profiles have identified consistent patterns associated with metabolic disease and insulin sensitivity. Here, we have measured a wide array of metabolites (30 acylcarnitines and 20 amino acids) with the MS/MS and investigated the association of metabolic profile with insulin resistance. METHODS: The study population (n = 403) was randomly chosen from non-diabetic participants of the Surveillance of Risk Factors of NCDs in Iran Study (STEPS 2016). STEPS 2016 is a population-based cross-sectional study conducted periodically on adults aged 18-75 years in 30 provinces of Iran. Participants were divided into two groups according to the optimal cut-off point determined by the Youden index of HOMA-IR for the diagnosis of metabolic syndrome. Associations were investigated using regression models adjusted for age, sex, and body mass index (BMI). RESULTS: People with high IR were significantly younger, and had higher education level, BMI, waist circumference, FPG, HbA1c, ALT, triglyceride, cholesterol, non-HDL cholesterol, uric acid, and a lower HDL-C level. We observed a strong positive association of serum BCAA (valine and leucine), AAA (tyrosine, tryptophan, and phenylalanine), alanine, and C0 (free carnitine) with IR (HOMA-IR); while C18:1 (oleoyl L-carnitine) was inversely correlated with IR. CONCLUSIONS: In the present study, we identified specific metabolites linked to HOMA-IR that improved IR prediction. In summary, our study adds more evidence that a particular metabolomic profile perturbation is associated with metabolic disease and reemphasizes the significance of understanding the biochemistry and physiology which lead to these associations.

Seroconversion following the first, second, and third dose of SARS-CoV-2 vaccines in immunocompromised population: a systematic review and meta-analysis.

BACKGROUND: Immunocompromised (IC) patients are at higher risk of more severe COVID-19 infections than the general population. Special considerations should be dedicated to such patients. We aimed to investigate the efficacy of COVID-19 vaccines based on the vaccine type and etiology as well as the necessity of booster dose in this high-risk population. MATERIALS AND METHODS: We searched PubMed, Web of Science, and Scopus databases for observational studies published between June 1st, 2020, and September 1st, 2021, which investigated the seroconversion after COVID-19 vaccine administration in adult patients with IC conditions. For investigation of sources of heterogeneity, subgroup analysis and sensitivity analysis were conducted. Statistical analysis was performed using R software. RESULTS: According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we included 81 articles in the meta-analysis. The overall crude prevalence of seroconversion after the first (n: 7460), second (n: 13,181), and third (n: 909, all population were transplant patients with mRNA vaccine administration) dose administration was 26.17% (95% CI 19.01%, 33.99%, I2 = 97.1%), 57.11% (95% CI: 49.22%, 64.83%, I2 = 98.4%), and 48.65% (95% CI: 34.63%, 62.79%, I2 = 94.4%). Despite the relatively same immunogenicity of mRNA and vector-based vaccines after the first dose, the mRNA vaccines induced higher immunity after the second dose. Regarding the etiologic factor, transplant patients were less likely to develop immunity after both first and second dose rather than patients with malignancy (17.0% vs 37.0% after first dose, P = 0.02; 38.3% vs 72.1% after second dose, P < 0.001) or autoimmune disease (17.0% vs 36.4%, P = 0.04; 38.3% vs 80.2%, P < 0.001). To evaluate the efficacy of the third dose, we observed an increasing trend in transplant patients after the first (17.0%), second (38.3%), and third (48.6%) dose. CONCLUSION: The rising pattern of seroconversion after boosting tends to be promising. In this case, more attention should be devoted to transplant patients who possess the lowest response rate.

The effect of COVID-19 mRNA vaccines against postvaccination laboratory-confirmed SARS-CoV-2 infection, symptomatic COVID-19 infection, hospitalization, and mortality rate: a systematic review and meta-analysis.

OBJECTIVES: We systematically reviewed the literature to investigate the pooled effect of COVID-19 mRNA vaccination against SARS-CoV-2 infection and its clinical outcomes. METHODS: Scopus, Web of Science, PubMed (Medline), and Embase were searched on 9 September 2021. The odds ratio (OR) of COVID-19 infection and its clinical outcomes in fully/ partially vaccinated versus unvaccinated participants were calculated and pooled by using a random-effects model. RESULTS: The pooled analysis showed that among health care workers and general population, vaccinated participants with one or two doses were less likely to infect with SARS-CoV-2 (OR = 0.16; 95%CI: 0.08-0.32; I2 = 79.86%; 95%CI I2: 68.99-87.21%), to develop symptomatic COVID-19 infection (OR = 0.09; 95%CI: 0.03-0.32; I2 = 80.43%; 95%CI I2: 70.83-89.33%), to admit to the hospital because of COVID-19 (OR = 0.13; 95%CI: 0.06-0.28; I2 = 86.19%; 95%CI I2: 67.80-93.88%), and to die from COVID-19 (OR = 0.14; 95%CI: 0.06-0.35; I2 = 66.76%; 95%CI I2: 54.00-76.99%) than unvaccinated participants. CONCLUSIONS: COVID-19 mRNA vaccines, especially following administration of two doses, are extremely effective. It would be suggested further studies with large sample size and different ethnicities to be conducted among the general population to warrant these results.

Circulating amino acids and acylcarnitines correlated with different CAC score ranges in diabetic postmenopausal women using LC-MS/MS based metabolomics approach.

BACKGROUND: Diabetes mellitus (DM) and its cardiovascular disease (CVD) complication are among the most frequent causes of death worldwide. However, the metabolites linking up diabetes and CVD are less understood. In this study, we aimed to evaluate serum acylcarnitines and amino acids in postmenopausal women suffering from diabetes with different severity of CVD and compared them with healthy controls. METHODS: Through a cross-sectional study, samples were collected from postmenopausal women without diabetes and CVD as controls (n = 20), patients with diabetes and without CVD (n = 16), diabetes with low risk of CVD (n = 11), and diabetes with a high risk of CVD (n = 21) referred for CT angiography for any reason. Metabolites were detected by a targeted approach using LC-MS/MS and metabolic -alterations were assessed by applying multivariate statistical analysis. The diagnostic ability of discovered metabolites based on multivariate statistical analysis was evaluated by ROC curve analysis. RESULTS: The study included women aged from 50-80 years with 5-30 years of menopause. The relative concentration of C14:1, C14:2, C16:1, C18:1, and C18:2OH acylcarnitines decreased and C18 acylcarnitine and serine increased in diabetic patients compared to control. Besides, C16:1 and C18:2OH acylcarnitines increased in high-risk CVD diabetic patients compared to no CVD risk diabetic patients. CONCLUSION: Dysregulation of serum acylcarnitines and amino acids profile correlated with different CAC score ranges in diabetic postmenopausal women. (Ethic approval No: IR.TUMS.EMRI.REC.1399.062).

Bibliometric overview of Ramadan fasting studies during 2010-2021.

BACKGROUND AND AIMS: To quantify the bibliometric parameters of Ramadan fasting literature from 2010 to 2021. MATERIALS AND METHODS: Scopus was searched for all articles related to Ramadan fasting or Islamic fasting from the beginning of 2010 to the end of 2021. Only original articles and reviews were included and their bibliometric and scientometric parameters were determined using Excel, Graph Pad Prism, VOSviewer, and Sci2 tool software. RESULTS: Finally 1276 articles, including 1109 original articles and 167 reviews, were included. These articles had 14263 citations and an H-index of 48. Based on the number of publications, top institute, top journal, top country, and top authors were University of Sfax (n = 48 articles), Diabetes Research and Clinical Practice (n = 69), the United States (n = 144), and Chtourou H & Hassanein M (n = 38), respectively. Also, Diabetes Research and Clinical Practice had a strong bibliographic coupling with other journals. The recent bursting words were adrenal insufficiency and COVID-19. The most co-occurred topics were the effect of Ramadan fasting on diabetic patients, pregnant women, and glycemic state and body composition of diabetic patients. CONCLUSION: This study provided a comprehensive bibliometric overview of Ramadan fasting literature from 2010 to 2021. The temporal change in the number of publications and other analyses on the literature of 2019, 2020 and 2021 showed that substantial increasing publications with new emerging subjects had become of interest to many researchers during the last three years.

The Effect of HIV/AIDS Infection on the Clinical Outcomes of COVID-19: A Meta-Analysis.

PURPOSE: Patients with HIV may be more likely to become severely ill from COVID-19. The present meta-analysis aims to determine the impact of HIV/AIDS infection on the clinical outcomes of COVID-19. METHODS: A comprehensive literature search was performed to identify relevant cohort studies to evaluate the association of HIV/AIDS infection with clinical outcomes of COVID-19. International databases, including PubMed (Medline), Web of Sciences, Scopus, and Embase, were searched from the emergence of the COVID-19 pandemic until January 2022. We utilized the risk ratio (RR) with its 95% confidence interval (95% CI) to quantify the effect of cohort studies. RESULTS: Twelve cohort studies were included in this meta-analysis, which examined a total number of 17,786,384 patients. Among them, 40,386 were identified to be HIV positive, and 17,745,998 were HIV negative. The pooled analyses showed HIV positive patients who were co-infected with SARS-CoV-2 were 58% more likely to develop a fever (RR=1.58; 95% CI: 1.42, 1.75), 24% more likely to have dyspnea (RR=1.24; 95% CI: 1.08, 1.41), 45% more likely to be admitted to ICU (RR=1.45; 95% CI: 1.26, 1.67), and 37% more likely to die from to COVID-19 (RR=1.37; 95% CI: 1.30, 1.45) than HIV negative patients. CONCLUSION: HIV/AIDS coinfection with COVID 19 increased the risk of fever, dyspnea, ICU admission, and mortality.