Aims This study aimed to make a comparison between the clinical laboratory-related factors, complete blood count (CBC) indices, cytokines, and lymphocyte subsets in order to distinguish severe coronavirus disease 2019 (COVID-19) cases from the non-severe ones. Materials and methods Relevant studies were searched in PubMed, Embase, Scopus, and Web of Science databases until March 31, 2020. Cochrane's Q test and the I 2 statistic were used to determine heterogeneity. We used the random-effect models to pool the weighted mean differences (WMDs) and 95% confidence intervals (CIs). Key findings Out of a total of 8557 initial records, 44 articles (50 studies) with 7865 patients (ranging from 13 to 1582), were included. Our meta-analyses with random-effect models showed a significant decrease in lymphocytes, monocyte, CD4+ T cells, CD8+ T cells, CD3 cells, CD19 cells, and natural killer (NK) cells and an increase in the white blood cell (WBC), neutrophils, neutrophil to lymphocyte ratio (NLR), C-reactive protein (CRP)/hs-CRP, erythrocyte sedimentation rate (ESR), ferritin, procalcitonin (PCT), and serum amyloid A (SAA), interleukin-2 (IL-2), IL-2R, IL-4, IL-6, IL-8, IL-10, tumor necrosis factor-alpha (TNF-α), and interferon-gamma (INF-γ) in the severe group compared to the non-severe group. However, no significant differences were found in IL-1β, IL-17, and CD4/CD8 T cell ratio between the two groups. Significance Decrease in total lymphocytes and lymphocyte subsets as well as the elevation of CRP, ESR, SAA, PCT, ferritin, and cytokines, but not IL-1β and IL-17, were closely associated with COVID-19 severity, implying reliable indicators of severe COVID-19.

Cardiac fibrosis describes the inappropriate proliferation of cardiac fibroblasts (CFs), leading to accumulation of extracellular matrix (ECM) proteins in the cardiac muscle, which is found in many pathophysiological heart conditions. A range of molecular components and cellular pathways, have been implicated in its pathogenesis. In this review, we focus on the TGF-β and WNT signaling pathways, and their mutual interaction, which have emerged as important factors involved in cardiac pathophysiology. The molecular and cellular processes involved in the initiation and progression of cardiac fibrosis are summarized. We focus on TGF-β and WNT signaling in cardiac fibrosis, ECM production, and myofibroblast transformation. Non-coding RNAs (ncRNAs) are one of the main players in the regulation of multiple pathways and cellular processes. MicroRNAs, long non-coding RNAs, and circular long non-coding RNAs can all interact with the TGF-β/WNT signaling axis to affect cardiac fibrosis. A better understanding of these processes may lead to new approaches for diagnosis and treatment of many cardiac conditions.

Besides other benefits, curcumin is getting more recognized for its antioxidant and anti-inflammatory properties, highlighting the importance of curcumin application for chronic disease prevention. This systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to assess the influence of curcumincontaining supplements on biomarkers of inflammation and oxidative stress. MEDLINE, EMBASE, Web of Science, and Cochrane Central Register of ControlledTrials were searched till January 2018 for eligible studies. The selected studies were evaluated for their quality using the Cochrane risk of bias tool and relevant data were extracted from included studies. Data were pooled using the inverse variance method and expressed as standardized mean difference (SMD) with 95% confidence intervals (95% CI). Fifteen RCTs were included in the final analysis. The meta-analysis indicated that curcumin supplementation significantly decreased interleukin 6 (IL-6) (SMD −2.08; 95% CI [−3.90, −0.25]; p = 0.02), high-sensitivity C-reactive protein (hs-CRP) (SMD −0.65; 95% CI [−1.20, −0.10], p = 0.02), and malondialdehyde (MDA) concentrations (SMD −3.14; 95% CI [-4.76, −1.53], p < 0.001). Though, curcumin supplementation had no significant effect on tumor necrosis factor-alpha (SMD −1.62; 95% CI [−3.60, 0.36]; p = 0.10) and superoxide dismutase levels (SMD 0.34; 95% CI [−1.06, 1.74], p = 0.63). Overall, this meta-analysis suggests that taking curcumin-containing supplements may exert anti-inflammatory and antioxidant properties through a significant reduction in IL-6, hs-CRP, and MDA levels.

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This systematic review and meta-analysis of randomized controlled trials (RCTs) was performed to determine the influence of curcumin intake on glycemic status and lipid profiles of patients with metabolic diseases. We searched the following databases up until January 2018: MEDLINE, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials. The relevant data were extracted and evaluated for quality of the studies in accordance with the Cochrane risk of bias tool. Data were pooled using the inverse variance method and expressed as standardized mean difference (MDs) with 95% confidence intervals (95% CI). Twenty-six trials with 1890 participants were included in the current meta-analysis. The findings demonstrated the significant association between curcumin intake and reduced fasting glucose levels (SMD -0.78; 95% CI, -1.20, -0.37; P<0.001), homeostasis model of assessment-estimated insulin resistance (SMD -0.91; 95% CI, -1.52, -0.31; P=0.003) and HbA1c (SMD -0.92; 95% CI, -1.37, -0.47; P<0.001). In addition, curcumin supplementation was significantly associated with triglyceride (SMD -1.21; 95 % CI, -1.78, -0.65; P<0.001) and total cholesterol reduction (SMD -0.73; 95 % CI,-1.32, -0.13; P= 0.01). However, curcumin intake significantly increased insulin levels (SMD 0.92; 95% CI, 0.06, 1.78; P=0.036). We found no significant effect of curcumin supplementation on LDL- (SMD -0.52; 95% CI, -1.14, 0.11; P=0.10) and HDL-cholesterol levels (SMD 0.28; 95% CI, -0.22, 0.77; P=0.27). Overall, curcumin consumption was associated with a significant reduction in fasting glucose, HOMA-IR, HbA1c, triglycerides and total cholesterol levels among patients with metabolic diseases, but did not affect LDL- and HDL-cholesterol levels.