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AIMS: Given the epidemic proportions of type 2 diabetes mellitus (T2DM) globally, it's crucial to comprehensively understand the factors influencing its management. The gut microbiome, known for its influence on various aspects of health, has emerged as a potential regulator of blood pressure in individuals with T2DM. This umbrella review aimed to consolidate the findings of existing meta-analyses investigating the impact of gut microbiome modulation on systolic and diastolic blood pressure in T2DM patients. DATA SYNTHESIS: Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, we systematically searched PubMed, Scopus, and Web of Science databases from inception to July 2023. Quality assessment was performed using the AMSTAR2 and GRADE checklists. Statistical analyses were conducted using Comprehensive Meta-Analysis (CMA) version 3. A total of 6 meta-analyses meeting the inclusion criteria were included. The results revealed a significant association between microbial modulation and diastolic blood pressure (SMD: -0.133; 95% CI: -0.219 to -0.048; P = 0.002). However, the effect of gut microbial modulation on systolic blood pressure did not reach statistical significance (SMD: -0.077; 95% CI: -0.162 to 0.009; P = 0.078). CONCLUSION: This study found that modulating the gut microbiome had a statistically significant impact on diastolic blood pressure in individuals with type 2 diabetes mellitus (T2DM). However, no significant effect was observed on systolic blood pressure. While high-quality meta-analyses reported favorable outcomes, caution is warranted due to the low clinical importance, diversity in study populations, and variations in interventions.
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BACKGROUND: Contrast-induced nephropathy (CIN) is a form of acute kidney injury (AKI) occurring in patients undergoing cardiac catheterization, such as coronary angiography (CAG) or percutaneous coronary intervention (PCI). Although the conventional criterion for CIN detection involves a rise in creatinine levels within 72 h after contrast media injection, several limitations exist in this definition. Up to now, various meta-analyses have been undertaken to assess the accuracy of different biomarkers of CIN prediction. However, the existing body of research lacks a cohesive overview. To address this gap, a comprehensive umbrella review was necessary to consolidate and summarize the outcomes of prior meta-analyses. This umbrella study aimed to offer a current, evidence-based understanding of the prognostic value of biomarkers in predicting CIN. METHODS: A systematic search of international databases, including PubMed, Scopus, and Web of Science, from inception to December 12, 2023, was conducted to identify meta-analyses assessing biomarkers for CIN prediction. Our own meta-analysis was performed by extracting data from the included studies. Sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio were assessed using Meta-Disc and CMA softwares. RESULTS: Twelve studies were ultimately included in the umbrella review. The results revealed that neutrophil gelatinase-associated lipocalin (NGAL) exhibited the highest area under the curve (AUC), followed by cystatin-C, urinary kidney injury molecule-1 (uKIM-1), and brain natriuretic peptide (BNP) with AUCs of 0.91, 0.89, 0.85, and 0.80, respectively. NGAL also demonstrated the highest positive likelihood ratio [effect size (ES): 6.02, 95% CI 3.86-9.40], followed by cystatin-C, uKIM-1, and BNP [ES: 4.35 (95% CI 2.85-6.65), 3.58 (95% CI 2.75-4.66), and 2.85 (95% CI 2.13-3.82), respectively]. uKIM-1 and cystatin-C had the lowest negative likelihood ratio, followed by NGAL and BNP [ES: 0.25 (95% CI 0.17-0.37), ES: 0.25 (95% CI 0.13-0.50), ES: 0.26 (95% CI 0.17-0.41), and ES: 0.39 (0.28-0.53) respectively]. NGAL emerged as the biomarker with the highest diagnostic odds ratio for CIN, followed by cystatin-C, uKIM-1, BNP, gamma-glutamyl transferase, hypoalbuminemia, contrast media volume to creatinine clearance ratio, preprocedural hyperglycemia, red cell distribution width (RDW), hyperuricemia, neutrophil-to-lymphocyte ratio, C-reactive protein (CRP), high-sensitivity CRP, and low hematocrit (P < 0.05). CONCLUSION: NGAL demonstrated superior diagnostic performance, exhibiting the highest AUC, positive likelihood ratio, and diagnostic odds ratio among biomarkers for CIN, followed by cystatin-C, and uKIM-1. These findings underscore the potential clinical utility of NGAL, cystatin-C and uKIM-1 in predicting and assessing CIN.