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European Journal of Medical Research Jul 2023RNA sequencing has emerged as the standard method for transcriptome profiling of several human diseases. We performed a systematic review detailing the state of RNA-seq...
RNA sequencing has emerged as the standard method for transcriptome profiling of several human diseases. We performed a systematic review detailing the state of RNA-seq analyses in Africa from its inception till February 2022. Our goal was to provide an update on the state of RNA-seq analyses in Africa, including research gaps, funding information, participants information, authorship and collaborations. Following the PRISMA guidelines, we performed an exhaustive literature search for RNA-seq studies conducted in Africa, using PubMed, Scopus and Academic Search Complete (EBSCOhost). The output was exported to Endnote X9 for analyses. The initial literature search yielded 10,369 articles spread across PubMed (4916), Scopus (4847) and EBSCOhost (580). By applying our exclusion criteria, 28 full-text articles remained and were thoroughly analyzed. Overall, 17 human diseases were studied, including cancers (10/28), infectious disease (4/28), parasitic disease (4/28), autoimmune disorders (2/28) and neglected tropical diseases (2/28). Majority of the articles were published in PLoS Pathogens, BioMed Central and Nature. The National Institutes of Health (42.4%), the Bill & Melinda Gates Foundation (7.5%) and the Wellcome Trust (7.5%) were the top funders of the research studies. Eleven African countries contributed to the participant group, with 57% located in Eastern Africa, 23.1% from Western and 16.7% from Southern Africa. The extremely low number of RNA-seq research studies in Africa is worrying and calls for an immediate investment in research by the African governments. The funding agencies and institutional review boards should also ensure that African collaborators are treated equitably in the course of the research projects.
Topics: United States; Humans; RNA-Seq; Africa; Gene Expression Profiling; Autoimmune Diseases; Evidence Gaps
PubMed: 37480073
DOI: 10.1186/s40001-023-01206-3 -
BMC Infectious Diseases Feb 2024This meta-analysis focused on systematically assessing the clinical value of mNGS for infection in hematology patients. (Meta-Analysis)
Meta-Analysis
OBJECTIVES
This meta-analysis focused on systematically assessing the clinical value of mNGS for infection in hematology patients.
METHODS
We searched for studies that assessed the clinical value of mNGS for infection in hematology patients published in Embase, PubMed, Cochrane Library, Web of Science, and CNKI from inception to August 30, 2023. We compared the detection positive rate of pathogen for mNGS and conventional microbiological tests (CMTs). The diagnostic metrics, antibiotic adjustment rate and treatment effective rate were combined.
RESULTS
Twenty-two studies with 2325 patients were included. The positive rate of mNGS was higher than that of CMT (blood: 71.64% vs. 24.82%, P < 0.001; BALF: 89.86% vs. 20.78%, P < 0.001; mixed specimens: 82.02% vs. 28.12%, P < 0.001). The pooled sensitivity and specificity were 87% (95%CI: 81-91%) and 59% (95%CI: 43-72%), respectively. The reference standard/neutropenia and research type/reference standard may be sources of heterogeneity in sensitivity and specificity, respectively. The pooled antibiotic adjustment rate according to mNGS was 49.6% (95% CI: 41.8-57.4%), and the pooled effective rate was 80.9% (95% CI: 62.4-99.3%).
CONCLUSION
mNGS has high positive detection rates in hematology patients. mNGS can guide clinical antibiotic adjustments and improve prognosis, especially in China.
Topics: Humans; High-Throughput Nucleotide Sequencing; Neutropenia; Anti-Bacterial Agents; China; Hematology; Sensitivity and Specificity; Retrospective Studies
PubMed: 38326763
DOI: 10.1186/s12879-024-09073-x -
Clinical and Experimental Medicine Jun 2024To determine the diagnostic yield of Next-generation sequencing (NGS) in suspect Primary Immunodeficiencies Diseases (PIDs). This systematic review was conducted... (Meta-Analysis)
Meta-Analysis Review
To determine the diagnostic yield of Next-generation sequencing (NGS) in suspect Primary Immunodeficiencies Diseases (PIDs). This systematic review was conducted following PRISMA criteria. Searching Pubmed and Web of Science databases, the following keywords were used in the search: ("Next-generation sequencing") OR "whole exome sequencing" OR "whole genome sequencing") AND ("primary immunodeficiency disease" OR "PIDs"). We used STARD items to assess the risk of bias in the included studies. The meta-analysis included 29 studies with 5847 patients, revealing a pooled positive detection rate of 42% (95% CI 0.29-0.54, P < 0.001) for NGS in suspected PID cases. Subgroup analyses based on family history demonstrated a higher detection rate of 58% (95% CI 0.43-0.71) in patients with a family history compared to 33% (95% CI 0.21-0.46) in those without (P < 0.001). Stratification by disease types showed varied detection rates, with Severe Combined Immunodeficiency leading at 58% (P < 0.001). Among 253 PID-related genes, RAG1, ATM, BTK, and others constituted major contributors, with 34 genes not included in the 2022 IUIS gene list. The application of NGS in suspected PID patients can provide significant diagnostic results, especially in patients with a family history. Meanwhile, NGS performs excellently in accurately diagnosing disease types, and early identification of disease types can benefit patients in treatment.
Topics: Humans; High-Throughput Nucleotide Sequencing; Primary Immunodeficiency Diseases
PubMed: 38890201
DOI: 10.1007/s10238-024-01392-2 -
Transfusion Medicine Reviews Jan 2024Molecular analysis of blood groups is important in transfusion medicine, allowing the prediction of red blood cell (RBC) antigens. Many blood banks use single nucleotide... (Meta-Analysis)
Meta-Analysis
Molecular analysis of blood groups is important in transfusion medicine, allowing the prediction of red blood cell (RBC) antigens. Many blood banks use single nucleotide variant (SNV) based methods for blood group analysis. While this is a well-established approach, it is limited to the polymorphisms included in genotyping panels. Thus, variants that alter antigenic expression may be ignored, resulting in incorrect prediction of phenotypes. The popularization of next-generation sequencing (NGS) has led to its application in transfusion medicine, including for RBC antigens determination. The present review/meta-analysis aimed to evaluate the applicability of the NGS for the prediction of RBC antigens. A systematic review was conducted following a comprehensive literature search in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Studies were selected based on predefined criteria and evaluated using Strengthening the Reporting of Observational studies in Epidemiology guidelines. The characteristics and results of the studies were extracted and meta-analysis was performed to verify the agreement between results from standard molecular methods and NGS. Kell (rs8176058), Duffy (rs2814778, rs12078), or Kidd (rs1085396) alleles were selected as a model for comparisons. Additionally, results are presented for other blood group systems. Of the 864 eligible studies identified, 10 met the inclusion criteria and were selected for meta-analysis. The pooled concordance proportion for NGS compared to other methods ranged from 0.982 to 0.994. The sequencing depth coverage was identified as crucial parameters for the reliability of the results. Some studies reported difficulty in analyzing more complex systems, such as Rh and MNS, requiring the adoption of specific strategies. NGS is a technology capable of predicting blood group phenotypes and has many strengths such as the possibility of simultaneously analyzing hundred individuals and gene regions, and the ability to provide comprehensive genetic analysis, which is useful in the description of new alleles and a better understanding of the genetic basis of blood groups. The implementation of NGS in the routine of blood banks depends on several factors such as cost reduction, the availability of widely validated panels, the establishment of clear quality parameters and access to bioinformatics analysis tools that are easy to access and operate.
Topics: Humans; Transfusion Medicine; High-Throughput Nucleotide Sequencing; Reproducibility of Results; Blood Group Antigens; Erythrocytes
PubMed: 37914611
DOI: 10.1016/j.tmrv.2023.150776 -
BMC Infectious Diseases Jan 2024Detecting pathogens in pediatric central nervous system infection (CNSI) is still a major challenge in medicine. In addition to conventional diagnostic patterns,... (Meta-Analysis)
Meta-Analysis
Diagnostic performance of metagenomic next-generation sequencing for the detection of pathogens in cerebrospinal fluid in pediatric patients with central nervous system infection: a systematic review and meta-analysis.
BACKGROUND
Detecting pathogens in pediatric central nervous system infection (CNSI) is still a major challenge in medicine. In addition to conventional diagnostic patterns, metagenomic next-generation sequencing (mNGS) shows great potential in pathogen detection. Therefore, we systematically evaluated the diagnostic performance of mNGS in cerebrospinal fluid (CSF) in pediatric patients with CNSI.
METHODS
Related literature was searched in the Web of Science, PubMed, Embase, and Cochrane Library. We screened the literature and extracted the data according to the selection criteria. The quality of included studies was assessed by the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool and the certainty of the evidence was measured by the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) score system. Then, the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odd's ratio (DOR), and area under the curve (AUC) of the summary receiver operating characteristic curve (sROC) were estimated in Stata Software and MetaDisc. Subgroup analyses were performed to investigate the potential factors that influence the diagnostic performance.
RESULTS
A total of 10 studies were included in the meta-analysis. The combined sensitivity was 0.68 (95% confidence interval [CI]: 0.59 to 0.76, I = 66.77%, p < 0.001), and the combined specificity was 0.89 (95% CI: 0.80 to 0.95, I = 83.37%, p < 0.001). The AUC of sROC was 0.85 (95% CI, 0.81 to 0.87). The quality level of evidence elevated by the GRADE score system was low.
CONCLUSIONS
Current evidence shows that mNGS presents a good diagnostic performance in pediatric CNSI. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
Topics: Humans; Child; ROC Curve; Central Nervous System Infections; High-Throughput Nucleotide Sequencing
PubMed: 38238719
DOI: 10.1186/s12879-024-09010-y -
Narra J Apr 2024Empyema poses a significant global health concern, yet identifying responsible bacteria remains elusive. Recent studies question the efficacy of conventional pleural... (Comparative Study)
Comparative Study
Empyema poses a significant global health concern, yet identifying responsible bacteria remains elusive. Recent studies question the efficacy of conventional pleural fluid culture in accurately identifying empyema-causing bacteria. The aim of this study was to compare diagnostic capabilities of next-generation sequencing (NGS) with conventional pleural fluid culture in identifying empyema-causing bacteria. Five databases (Google Scholar, Science Direct, Cochrane, Research Gate, and PubMed) were used to search studies comparing conventional pleural fluid culture with NGS for identifying empyema-causing bacteria using keywords. Positive results identified through conventional pleural fluid culture and NGS were extracted. In addition, bacterial profiles identified by NGS were also documented. Joanna-Briggs Institute (JBI) critical appraisal tool was employed to assess quality of included studies. Descriptive analysis was employed to present outcome of interests. From five databases, three studies, with 354 patients, were included. Findings from three studies showed that NGS outperformed conventional pleural fluid culture in detecting empyema-causing bacteria even in culture-negative samples. Moreover, dominant bacterial profiles identified through NGS included , and anaerobic bacteria. In conclusion, NGS outperforms conventional pleural fluid culture in detection empyema-causing bacteria, yet further studies with larger samples and broader bacterial profiles are needed to increase confidence and urgency in its adoption over conventional pleural fluid culture.
Topics: Humans; High-Throughput Nucleotide Sequencing; Empyema, Pleural; Bacteria
PubMed: 38798844
DOI: 10.52225/narra.v4i1.650