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Cancer Medicine Jun 2024Acute myeloid leukemia (AML) is aggressive type of hematological malignancy. Its poses challenges in early diagnosis, necessitating the identification of an effective... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Acute myeloid leukemia (AML) is aggressive type of hematological malignancy. Its poses challenges in early diagnosis, necessitating the identification of an effective biomarker. This study aims to assess the diagnostic accuracy of long noncoding RNAs (lncRNA) in the diagnosis of AML through a meta-analysis. The study is registered on the PROSPERO website with the number 493518.
METHOD
A literature search was conducted in the PubMed, Embase, Hinari, and the Scopus databases to identify relevant studies. We pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristics (ROC) using Stata 14.1 software. Heterogeneity between studies was determined through the I statistic and Cochran-Q test. A random effect model was chosen due to significant heterogeneity among included studies. Meta-regression and subgroup analysis were performed to assess the potential source of heterogeneity. Furthermore, potential publication bias was estimated using Deek's funnel plot asymmetry test.
RESULTS
A total of 14 articles covering 19 studies were included in this meta-analysis comprising 1588 AML patients and 529 healthy participants. The overall pooled sensitivity, specificity, PLR, NLR, DOR, and the area under the summary ROC curve were 0.85 (95% CI = 0.78-0.91), 0.82 (95% CI = 0.72-0.89), 4.7 (95% CI = 2.9-7.4), 0.18 (95% CI = 0.12-0.28), 26 (95% CI = 12-53), and 0.90 (95% CI = 0.87-0.93), respectively. Moreover, lncRNAs from non-bone marrow mononuclear cells (BMMC) had superior diagnostic value with pooled sensitivity, specificity, and AUC were 0.93, 0.82, and 0.95, respectively.
CONCLUSION
This meta-analysis demonstrated that circulating lncRNAs can serve as potential diagnostic markers for AML. High accuracy of diagnosis was observed in non-BMMC lncRNAs, given cutoff value, and the GADPH internal reference gene used. However, further studies with large sample size are required to confirm our results.
Topics: Humans; RNA, Long Noncoding; Leukemia, Myeloid, Acute; Biomarkers, Tumor; ROC Curve; Sensitivity and Specificity
PubMed: 38864480
DOI: 10.1002/cam4.7376 -
Cureus May 2024Chronic kidney disease (CKD) is a progressive condition characterized by gradual loss of kidney function, necessitating timely monitoring and interventions. This... (Review)
Review
Chronic kidney disease (CKD) is a progressive condition characterized by gradual loss of kidney function, necessitating timely monitoring and interventions. This systematic review comprehensively evaluates the application of artificial intelligence (AI) and machine learning (ML) techniques for predicting CKD progression. A rigorous literature search identified 13 relevant studies employing diverse AI/ML algorithms, including logistic regression, support vector machines, random forests, neural networks, and deep learning approaches. These studies primarily aimed to predict CKD progression to end-stage renal disease (ESRD) or the need for renal replacement therapy, with some focusing on diabetic kidney disease progression, proteinuria, or estimated glomerular filtration rate (GFR) decline. The findings highlight the promising predictive performance of AI/ML models, with several achieving high accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve scores. Key factors contributing to enhanced prediction included incorporating longitudinal data, baseline characteristics, and specific biomarkers such as estimated GFR, proteinuria, serum albumin, and hemoglobin levels. Integration of these predictive models with electronic health records and clinical decision support systems offers opportunities for timely risk identification, early interventions, and personalized management strategies. While challenges related to data quality, bias, and ethical considerations exist, the reviewed studies underscore the potential of AI/ML techniques to facilitate early detection, risk stratification, and targeted interventions for CKD patients. Ongoing research, external validation, and careful implementation are crucial to leveraging these advanced analytical approaches in clinical practice, ultimately improving outcomes and reducing the burden of CKD.
PubMed: 38864072
DOI: 10.7759/cureus.60145 -
Frontiers in Immunology 2024Given the high incidence of sarcopenia among Asians, it is imperative to identify appropriate intervention methods. The International Clinical Practice Guidelines for... (Meta-Analysis)
Meta-Analysis
Effectiveness of resistance training in modulating inflammatory biomarkers among Asian patients with sarcopenia: a systematic review and meta-analysis of randomized controlled trials.
OBJECTIVE
Given the high incidence of sarcopenia among Asians, it is imperative to identify appropriate intervention methods. The International Clinical Practice Guidelines for Sarcopenia, developed by the International Conference on Sarcopenia and Frailty Research (ICFSR) task force, recommends resistance training (RT) as a primary treatment for managing sarcopenia. Inflammatory biomarkers serve as indicators of sarcopenia. However, there is currently insufficient conclusive evidence regarding the effectiveness of RT in modulating inflammatory biomarker levels among Asian participants with sarcopenia.
DATA SOURCES
Four databases were utilized for this study until October 9, 2023. This study focused on randomized controlled trials (RCTs) that examined the effects of RT on interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), and interleukin-10 (IL-10) about sarcopenia. This study has been registered in the PROSPERO database (CRD42024501855).
RESULTS
The meta-analysis included six studies from Asians involving 278 participants. The results showed a significant decrease in RT for IL-6 (weighted mean difference (WMD) = -0.73, 95% confidence interval (CI) = -1.02 to -0.44; n=5). However, no significant differences were found for TNF-α (WMD = -1.00, 95% CI = -2.47 to 0.46; n=5), CRP (WMD = -0.45, 95% CI = -1.14 to 0.23; n=3), and IL-10 (WMD = 0.13, 95% CI = -3.99 to 4.25; n=2). Subgroup analysis revealed that factors including gender selection, intervention methods, frequency, period, and duration could have a particular effect on the part of inflammatory biomarkers.
CONCLUSION
RT has been shown to reduce part of the level of inflammatory markers, specifically IL-6, in Asian sarcopenia participants. However, other inflammatory factors, such as TNF-α, CRP, and IL-10, did not show significant changes. Further research should confirm the impact of RT on these indicators and explore the potential effects of various factors on different inflammatory markers, such as diet, body composition, and medications.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=501855, identifier CRD42024501855.
Topics: Humans; Sarcopenia; Biomarkers; Randomized Controlled Trials as Topic; Resistance Training; Asian People; Female; Male; Inflammation; C-Reactive Protein; Interleukin-6; Treatment Outcome
PubMed: 38863698
DOI: 10.3389/fimmu.2024.1385902 -
What is the role of circRNAs in the pathogenesis of cervical cancer? A systematic literature review.Frontiers in Genetics 2024Cervical Cancer (CC) is one of the most prevalent neoplasms among women, considered the leading cause of gynecological death worldwide, and the fourth most common type...
Cervical Cancer (CC) is one of the most prevalent neoplasms among women, considered the leading cause of gynecological death worldwide, and the fourth most common type of cancer. Regional metastasis is closely related to the low effectiveness of treatment, and validating biomarkers can optimize accuracy in diagnosis and prognosis. Among the potential biomarkers associated with disease metastasis are circular RNAs (circRNAs), whose altered expression has been linked to CC progression. In this context, this systematic review aims to compile information on the clinical-pathological significance and describe the biological function of circRNAs. Inclusion and exclusion criteria were used to include relevant literature, followed by analysis. Additionally, we employed the UALCAN tools to search for host genes of circRNAs and expression data, miRTargetLink 2.0 to predict interactions of microRNA target genes and the Cytoscape software to predict possible interactions of microRNA target genes. According to the research, most circRNAs were found to be overexpressed and described as regulators of processes such as invasion, cell proliferation, apoptosis and migration. They were also implicated in clinical significance, including metastasis, TNM staging and microRNA interactions. CircRNAs may participate in critical processes in tumorigenesis; therefore, understanding the underlying molecular mechanisms of gene regulation in CC can contribute to the accuracy of diagnosis, prognosis and therapy.
PubMed: 38859935
DOI: 10.3389/fgene.2024.1287869 -
Brain, Behavior, and Immunity Jun 2024There is some evidence of an association between inflammation in the pathogenesis of mental disorders. Soluble urokinase plasminogen activator receptor (suPAR) is a... (Review)
Review
BACKGROUND
There is some evidence of an association between inflammation in the pathogenesis of mental disorders. Soluble urokinase plasminogen activator receptor (suPAR) is a biomarker of chronic inflammation, which provides a more stable index of systemic inflammation than more widely used biomarkers. This review aims to synthesise studies that measured suPAR concentrations in individuals with a psychiatric disorder, to determine if these concentrations are altered in comparison to healthy participants.
METHOD
Comprehensive literature searches from inception to October 2023 were conducted of five relevant databases (PubMed, Web of Science, Embase, Scopus, APA PsychInfo). Random-effects meta-analyses were performed to compare the standardised mean difference of blood suPAR levels (i.e. plasma or serum) for individuals with any psychiatric disorder relative to controls. Separate meta-analyses of suPAR levels were conducted for individuals with schizophrenia or other psychotic disorder and depressive disorder. Risk of bias was assessed using the Newcastle Ottawa Scale. Post-hoc sensitivity analyses included excluding studies at high risk of bias, and analyses of studies that measured suPAR concentrations either in serum or in plasma separately.
RESULTS
The literature search identified 149 records. Ten full-text studies were screened for eligibility and 9 studies were included for review. Primary analyses revealed no significant difference in suPAR levels between individuals with any psychiatric disorder compared to controls (k = 7, SMD = 0.42, 95 % CI [-0.20, 1.04]). However, those with depressive disorder had elevated suPAR levels relative to controls (k = 3, SMD = 0.61, 95 % CI [0.34, 0.87]). Similarly, secondary analyses showed no evidence of a significant difference in suPAR levels in individuals with any psychiatric disorder when studies at high risk of bias were excluded (k = 6, SMD = 0.54, 95 % CI [-0.14, 1.22]), but elevated suPAR concentrations for those with schizophrenia or other psychotic disorder were found (k = 3, SMD = 0.98, 95 % CI [0.39, 1.58]). Furthermore, studies that analysed plasma suPAR concentrations found elevated plasma suPAR levels in individuals with any psychiatric disorder relative to controls (k = 5, SMD = 0.84, 95 % CI [0.38, 1.29]), while studies measuring serum suPAR levels in any psychiatric disorder did not find a difference (k = 2, SMD = -0.61, 95 % CI [-1.27, 0.04]). For plasma, elevated suPAR concentrations were also identified for those with schizophrenia or other psychotic disorder (k = 3, SMD = 0.98, 95 % CI [0.39, 1.58]).
DISCUSSION
When studies measuring either only serum or only plasma suPAR were considered, no significant difference in suPAR levels were observed between psychiatric disorder groups, although significantly elevated suPAR levels were detected in those with moderate to severe depressive disorder. However, plasma suPAR levels were significantly elevated in those with any psychiatric disorder relative to controls, while no difference in serum samples was found. A similar finding was reported for schizophrenia or other psychotic disorder. The plasma findings suggest that chronic inflammatory dysregulation may contribute to the pathology of schizophrenia and depressive disorder. Future longitudinal studies are required to fully elucidate the role of this marker in the psychopathology of these disorders.
PubMed: 38857636
DOI: 10.1016/j.bbi.2024.06.003 -
European Review For Medical and... May 2024Periimplantitis (PI) is a complex multifactorial chronic disease caused by interactions between bacteria, host immune-inflammatory responses, and genetic or... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
Periimplantitis (PI) is a complex multifactorial chronic disease caused by interactions between bacteria, host immune-inflammatory responses, and genetic or environmental factors that modify buccal eutrophism. In daily clinical practice, an increase in the prevalence of PI (8%) determined the need to establish the PI causes and set optimal therapeutic strategies. The interleukin family (IL-1), a group of cytokines, triggers and perpetuates peri-implantitis. Therefore, they could be used as biomarkers for diagnosis and treatment. This systematic review aimed to analyze the correlation between IL-1 allelic polymorphism (IL-1A -889, IL-1β -511, IL-1β +3954) and the PI disease.
MATERIALS AND METHODS
Selected databases were PubMed, Scopus, and Cochrane Library. The search strategy included the following terms: "dental implants"; "periimplantitis"; "interleukin-IL-1"; "polymorphism"; "perimplant bone loss". Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. A meta-analysis was conducted on five of 40 review articles. p-values, confidence intervals (CI), and Odds ratios (OR) were assessed. In 4 articles, the p-value was lower than 0.05, confirming the statistical significance of the result.
RESULTS
The prevalence of the selected studies reported the existence of a causal association between polymorphisms of IL-1 and the onset of peri-implantitis, especially for IL-1 allelic variants associated with further polymorphic genes encoding for IL-6, tumor necrosis factor-alpha (TNF-α), matrix metalloproteinases (MMP)-8, IL-1Na, IL-8, IL-18, osteopontin (OPN). In addition, the presence of the IL-1 polymorphism and PI is particularly higher in smokers, diabetes, and autoimmune disease patients.
CONCLUSIONS
The detection of salivary biomarkers is, therefore, a diagnostic tool with a high potential to intercept the PI early and act with appropriate and non-invasive treatment. Due to the continued technological innovation in biomarkers and diagnostic sciences, further studies are needed to investigate the role of these biochemical mediators. The results of studies and the recent technological innovation in biomarkers and diagnostic sciences will allow further research to investigate the role of these biochemical mediators.
Topics: Humans; Peri-Implantitis; Polymorphism, Genetic; Interleukin-1; Dental Implants
PubMed: 38856132
DOI: 10.26355/eurrev_202405_36293 -
Frontiers in Immunology 2024Immunotherapeutic approaches, including immune checkpoint inhibitor (ICI) therapy, are increasingly recognized for their potential. Despite notable successes, patient... (Meta-Analysis)
Meta-Analysis
Myeloid-derived suppressor cells in peripheral blood as predictive biomarkers in patients with solid tumors undergoing immune checkpoint therapy: systematic review and meta-analysis.
BACKGROUND
Immunotherapeutic approaches, including immune checkpoint inhibitor (ICI) therapy, are increasingly recognized for their potential. Despite notable successes, patient responses to these treatments vary significantly. The absence of reliable predictive and prognostic biomarkers hampers the ability to foresee outcomes. This meta-analysis aims to evaluate the predictive significance of circulating myeloid-derived suppressor cells (MDSC) in patients with solid tumors undergoing ICI therapy, focusing on progression-free survival (PFS) and overall survival (OS).
METHODS
A comprehensive literature search was performed across PubMed and EMBASE from January 2007 to November 2023, utilizing keywords related to MDSC and ICI. We extracted hazard ratios (HRs) and 95% confidence intervals (CIs) directly from the publications or calculated them based on the reported data. A hazard ratio greater than 1 indicated a beneficial effect of low MDSC levels. We assessed heterogeneity and effect size through subgroup analyses.
RESULTS
Our search yielded 4,023 articles, of which 17 studies involving 1,035 patients were included. The analysis revealed that patients with lower levels of circulating MDSC experienced significantly improved OS (HR=2.13 [95% CI 1.51-2.99]) and PFS (HR=1.87 [95% CI 1.29-2.72]) in response to ICI therapy. Notably, heterogeneity across these outcomes was primarily attributed to differences in polymorphonuclear MDSC (PMN-MDSC) subpopulations and varying cutoff methodologies used in the studies. The monocytic MDSC (M-MDSC) subpopulation emerged as a consistent and significant prognostic marker across various subgroup analyses, including ethnicity, tumor type, ICI target, sample size, and cutoff methodology.
CONCLUSIONS
Our findings suggest that standardized assessment of MDSC, particularly M-MDSC, should be integral to ICI therapy strategies. These cells hold the promise of identifying patients at risk of poor response to ICI therapy, enabling tailored treatment approaches. Further research focusing on the standardization of markers and validation of cutoff methods is crucial for integrating MDSC into clinical practice.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023420095, identifier CRD42023420095.
Topics: Humans; Myeloid-Derived Suppressor Cells; Neoplasms; Immune Checkpoint Inhibitors; Biomarkers, Tumor; Prognosis
PubMed: 38855104
DOI: 10.3389/fimmu.2024.1403771 -
International Journal of Cardiology Sep 2024Sodium-glucose co-transporter 2 inhibitors (SGLT2i) are anti-hyperglycemic drugs and have been proven to have cardiovascular protective effects for patients with heart... (Meta-Analysis)
Meta-Analysis
Effect of sodium-glucose co-transporter 2 inhibitors (SGLT2i) on N-terminal pro-B-type natriuretic peptide (NT-proBNP) level and structural changes following myocardial infarction: A systematic review and meta-analysis.
BACKGROUND
Sodium-glucose co-transporter 2 inhibitors (SGLT2i) are anti-hyperglycemic drugs and have been proven to have cardiovascular protective effects for patients with heart failure regardless of their diabetes status. However, the benefit of SGLT2i following myocardial infarction (MI) remains incompletely established. This review aimed to investigate the impact of SGLT2i on NT-proBNP levels and structural changes post-MI.
METHOD
Medline, ClinicalTrial.gov, Scopus, and Directory of open-access journals were searched to retrieve the relevant articles. Eligible studies were randomized clinical trials that assessed NT-proBNP and cardiac structural changes in patients who received SGLT2i compared to placebo following MI. Two reviewers independently screened articles, extracted data, and assessed study quality.
RESULT
Four studies were included in this review, including patients with and without diabetes. While two studies showed no marked decrease from the baseline in NT-proBNP levels between the SGLT2i group and the control group, two studies reported a substantial reduction. The meta-analysis included three of these studies, with a total of 238 participants. The meta-analysis did not find a statistically significant drop in NT-proBNP levels post-MI in the SGLT2 inhibitors group compared to placebo (pooled SMD = 0.16, 95% CI 0.57-0.26, P 0.45). Furthermore, different echocardiographic parameters were reported in the included trials, yet no meta-analysis could be conducted to assess the influence of SGLT2i on cardiac remodeling post-MI.
CONCLUSION
SGLT2i did not result in a statistically significant reduction of NT-proBNP level subsequent to myocardial infarction. A knowledge gap exists regarding the impact of these agents on cardiac remodeling post-MI. Future high-quality clinical trials are needed to provide more robust evidence.
Topics: Humans; Natriuretic Peptide, Brain; Sodium-Glucose Transporter 2 Inhibitors; Peptide Fragments; Myocardial Infarction; Randomized Controlled Trials as Topic; Biomarkers; Diabetes Mellitus, Type 2; Treatment Outcome
PubMed: 38852858
DOI: 10.1016/j.ijcard.2024.132239 -
Medicina Clinica Jun 2024The present systematic review analyses the role of soluble fms-like tyrosine kinase-1 (sFLT-1) as an indirect biomarker of endothelial dysfunction in sepsis or septic...
INTRODUCTION
The present systematic review analyses the role of soluble fms-like tyrosine kinase-1 (sFLT-1) as an indirect biomarker of endothelial dysfunction in sepsis or septic shock from articles published in PubMed between 2010 and March 2022.
MATERIALS AND METHODS
A systematic review of studies studying sFLT-1 monitoring in intensive care units in adults with sepsis or septic shock vs. controls for sepsis diagnosis and prognosis has been carried out (PROSPERO CRD42023412929 Registry).
RESULTS
The endothelial dysfunction of sepsis is one of the keys to the development of the disease. VEGF binds to sFLT-1 acting as a competitive inhibitor of VEGF signalling in endothelial cells and thus neutralizes its pro-inflammatory effects. Endothelial dysfunction is reflected in increased sFLT-1 levels. High values of sFLT-1 were used for the differential diagnosis of sepsis versus other inflammatory pathologies, septic shock versus other types of shock, were elevated over time, estimation of disease prognosis, correlation with sepsis severity, organ dysfunction, and mortality prediction.
CONCLUSIONS
It is evident that sepsis is based on endothelial dysfunction. sFLT-1 is one of the main biomarkers of microvascular alteration and is a predictive diagnostic and prognostic biomarker.
PubMed: 38851948
DOI: 10.1016/j.medcli.2024.03.027 -
Farmacia Hospitalaria : Organo Oficial... Jun 2024Pharmacogenetics evaluates how genetic variations influence drug responses. Nowadays, genetic tests have advanced, becoming more affordable, and its integration is... (Review)
Review
INTRODUCTION
Pharmacogenetics evaluates how genetic variations influence drug responses. Nowadays, genetic tests have advanced, becoming more affordable, and its integration is supported by stronger clinical evidence. Guidelines such as those from CPIC (Clinical Pharmacogenetics Implementation Consortium) and resources like PharmGKB facilitate genotype-based prescribing; and organizations like the FDA promote genetic testing before initiating certain medications. Preventive pharmacogenetic panels seem promising, but further research on biomarkers and diverse populations is needed. The aim of this review is to analyze recent evidence on the genotype-drug response relationship to examine how the genetic profile of patients influences the clinical response to treatments, and analyze the areas of research that need further study to advance towards a genetic-based precision medicine.
MATERIALS AND METHODS
A systematic search was conducted on PubMed to identify articles investigating the genotype-drug response relationship. The search strategy included terms such as "pharmacogenetics", "personalized treatment", "precision medicine", "dose adjustment", "individualized dosing", "clinical routine" and "clinical practice." Clinical trials, observational studies, and meta-analyses published in English or Spanish between 2013 and 2023 were included. The initial search resulted in a total of 136 articles for analysis.
RESULTS
49 articles were included for the final analysis following review by two investigators. A relationship between genetic polymorphisms and drug response or toxicity was found for drugs such as opioids, GLP-1 agonists, tacrolimus, oral anticoagulants, antineoplastics, atypical antipsychotics, efavirenz, clopidogrel, lamotrigine, anti-TNF-α agents, voriconazole, antidepressants, or statins. However, for drugs like metformin, quetiapine, irinotecan, bisoprolol, and anti-VEGF agents, no statistically significant association between genotype and response was found.
CONCLUSION
The studies analyzed in this review suggest a strong correlation between genetic variability and individual drug responses, supporting the use of pharmacogenetics for treatment optimization. However, for certain drugs like metformin or quetiapine, the influence of genotype on their response remains unclear. More studies with larger sample sizes, greater ethnic diversity, and consideration of non-genetic factors are needed. The lack of standardization in analysis methods and accessibility to genetic testing are significant challenges in this field. As a conclusion, pharmacogenetics shows immense potential in personalized medicine, but further research is required.
PubMed: 38851909
DOI: 10.1016/j.farma.2024.03.010