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Pain Physician Sep 2023Responsiveness to opioid analgesics differs among patients with acute postoperative pain. (Meta-Analysis)
Meta-Analysis
BACKGROUND
Responsiveness to opioid analgesics differs among patients with acute postoperative pain.
OBJECTIVE
Our study presents the most recent evidence on the effect of genetic variations on postoperative pain, opioid consumption, nausea, and vomiting in patients treated with opioids.
STUDY DESIGN
An updated systematic review and meta-analysis on the association between single-nucleotide polymorphisms and opioids administered to patients with acute postoperative pain.
METHODS
PubMed, Embase, ISI Web of Science, and the Cochrane Library databases were searched for articles published from February 1, 2014, through December 31, 2021.
RESULTS
Added to the previous meta-analysis, 39 studies (a total of 7,455 patients) were included in the final meta-analysis. Highlights of the findings include: 1) human μ-opioid receptor gene 118G allele carriers required more opioids during the first postoperative 24 hours (standard mean difference [SMD] = -0.27; 95% CI,-0.40 to -0.14; P < 0.0001) and 48 hours (SMD = -0.52; 95% CI, -0.83 to -0.20; P = 0.001), and reported higher pain scores during the first 24 hours but not at the 48-hour postoperative period (SMD = -0.09, 95% CI, -0.15 to -0.03; P = 0.002) compared to homozygous 118AA patients. 2) patients with the CYP3A4 *1G allele required fewer opioids during the first 24-hour postoperative period (SMD = 0.59; 95% CI, 0.05 to 1.14; P = 0.03) compared to patients with the homozygous CYP3A4*1/*1 allele. 3) Adenosine triphosphate-binding cassette subfamily B member-1 (ABCB1) 3435T allele carriers required more opioids during the 48-hour postoperative period (SMD = -0.21; 95% CI, -0.38 to -0.04; P = 0.02) compared to homozygous CC carriers. 4) Catechol-O-methyl transferase 158A allele carriers required fewer opioids during the first 24-hour postoperative period (SMD = 0.33; 95% CI, 0.15 to 0.51; P = 0.0004) compared to homozygous GG carriers. No significant differences were observed in patients with CYP2D6*10 and ABCB1 G2677A/T genetic polymorphisms.
LIMITATIONS
Several loci were not analyzed in detail due to insufficient clinical data. Furthermore, nongenetic factors that affected analgesic efficacy and the clinical outcome of postoperative pain were not discussed and were not the aim of this meta-analysis.
CONCLUSIONS
In combination with previous systematic reviews and meta-analyses, our results indicate that the A118G allele variant of OPRM1 and the *1*1G allele variant of CYP3A4 have a profound influence on individual differences in opioid reactivity in patients with postoperative pain. Our results, together with the identification of additional single nucleotide polymorphisms in future studies, may provide a theoretical basis for precise clinical analgesia.
KEY WORDS
Single nucleotide polymorphism, postoperative pain, opioid, meta-analysis.
Topics: Humans; Analgesics, Opioid; Catechol O-Methyltransferase; Cytochrome P-450 CYP3A; Pain, Postoperative; Polymorphism, Single Nucleotide
PubMed: 37774182
DOI: No ID Found -
Journal of Clinical Medicine Oct 2023This study focuses on the use of thiopurines for treating inflammatory bowel diseases (IBD). These drugs undergo enzymatic changes within the body, resulting in active... (Review)
Review
This study focuses on the use of thiopurines for treating inflammatory bowel diseases (IBD). These drugs undergo enzymatic changes within the body, resulting in active and inactive metabolites that influence their therapeutic effects. The research examines the role of genetic polymorphisms in the enzyme thiopurine S-methyltransferase (TPMT) in predicting the therapeutic response and adverse effects of thiopurine treatment. The TPMT genotype variations impact the individual responses to thiopurines. Patients with reduced TPMT activity are more susceptible to adverse reactions (AEs), such leukopenia, hepatotoxicity, pancreatitis, and nausea, which are common adverse effects of thiopurine therapy. The therapeutic monitoring of the metabolites 6-thioguanine nucleotides (6-TGN) and 6-methyl mercaptopurine (6-MMP) is proposed to optimize treatment and minimize AEs. Patients with higher 6-TGN levels tend to have better clinical responses, while elevated 6-MMP levels are linked to hepatotoxicity. Genotyping for TPMT before or during treatment initiation is suggested to tailor dosing strategies and enhance treatment efficacy while reducing the risk of myelosuppression. In conclusion, this study highlights the importance of considering genetic variations and metabolite levels in optimizing thiopurine therapy for IBD patients, focusing on balance therapeutic efficacy with the prevention of adverse effects and contributing to personalized treatment and better patient outcomes.
PubMed: 37959208
DOI: 10.3390/jcm12216742 -
Translational Psychiatry Jun 2024Excessive and persistent aggressiveness is the most common behavioral problem that leads to psychiatric referrals among children. While half of the variance in childhood...
Excessive and persistent aggressiveness is the most common behavioral problem that leads to psychiatric referrals among children. While half of the variance in childhood aggression is attributed to genetic factors, the biological mechanism and the interplay between genes and environment that results in aggression remains elusive. The purpose of this systematic review is to provide an overview of studies examining the genetics of childhood aggression irrespective of psychiatric diagnosis. PubMed, PsycINFO, and MEDLINE databases were searched using predefined search terms for aggression, genes and the specific age group. From the 652 initially yielded studies, eighty-seven studies were systematically extracted for full-text review and for further quality assessment analyses. Findings show that (i) investigation of candidate genes, especially of MAOA (17 studies), DRD4 (13 studies), and COMT (12 studies) continue to dominate the field, although studies using other research designs and methods including genome-wide association and epigenetic studies are increasing, (ii) the published articles tend to be moderate in sizes, with variable methods of assessing aggressive behavior and inconsistent categorizations of tandem repeat variants, resulting in inconclusive findings of genetic main effects, gene-gene, and gene-environment interactions, (iii) the majority of studies are conducted on European, male-only or male-female mixed, participants. To our knowledge, this is the first study to systematically review the effects of genes on youth aggression. To understand the genetic underpinnings of childhood aggression, more research is required with larger, more diverse sample sets, consistent and reliable assessments and standardized definition of the aggression phenotypes. The search for the biological mechanisms underlying child aggression will also benefit from more varied research methods, including epigenetic studies, transcriptomic studies, gene system and genome-wide studies, longitudinal studies that track changes in risk/ameliorating factors and aggression-related outcomes, and studies examining causal mechanisms.
Topics: Child; Female; Humans; Male; Aggression; Catechol O-Methyltransferase; Gene-Environment Interaction; Genome-Wide Association Study; Monoamine Oxidase; Receptors, Dopamine D4
PubMed: 38862490
DOI: 10.1038/s41398-024-02870-7 -
Clinical Neurology and Neurosurgery Apr 2024Levodopa treatment requires the addition of other drugs, such as catechol-O-methyl transferase (COMT) inhibitors, to alleviate motor fluctuations in advanced parkinson's... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Levodopa treatment requires the addition of other drugs, such as catechol-O-methyl transferase (COMT) inhibitors, to alleviate motor fluctuations in advanced parkinson's disease (PD). However, the optimal strategy, including the type and dose of COMT inhibitors remains unknown. This systematic review and network meta-analysis aimed to assess the efficacy and safety of different COMT inhibitors and for treating PD patients.
METHODS
PubMed, Embase, Cochrane Library and Web of Science were screened up to November 20, 2022. Randomized controlled trials (RCTs) of COMT inhibitors (entacapone, opicapone, tolcapone) for PD patients were included. Eligible outcomes were total ON-time, rate of ON-time >1 h, total daily dose of levodopa therapy, mean change from baseline to final follow up in Unified Parkinson's Disease Rating Scale (UPDRS) part III scores, adverse events and dyskinesia. Network meta-analyses integrated direct and indirect evidence with placebo as a common comparator.
RESULTS
We identified 18 studies with 7564 patients. Opicapone, entacapone, and tolcapone could increase total ON-time when compared with placebo. However, opicapone (25 mg, MD 4.0, 95%CrI: 1.1-7.5) and opicapone (50 mg, MD 5.1, 95%CrI: 2.2-8.7) statistically significant increase the total ON-time. opicapone and entacapone could increase the rate of ON-time >1 h when compared with placebo. Only opicapone (5 mg) showed no statistically significant with placebo (OR 1.4, 95%CrI: 0.74-2.4). We found that opicapone (50 mg, SURCA, 0.796) is the best option compared with other treatments. TOL (200 mg) was ranked highest in the rank probability test for total daily dose of levodopa therapy, followed by OPI (50 mg), TOL (400 mg) and TOL (100 mg) in order. SUCRA rankings identified TOL (200 mg) as the most likely therapy for increasing adverse events (SUCRA 27.19%), followed by TOL (400 mg, SUCRA 27.20%) and OPI (5 mg, SUCRA 30.81%). The SUCRA probabilities were 91.6%, 75.2%, 67.9%, 59.3%, 45.6%, 41.1%, 35.1%, 24.6% and 9.4% for PLA, TOL (400 mg), ENT (100 mg), ENT (200 mg), OPI (5 mg), TOL (100 mg), OPI (25 mg), OPI (50 mg), and TOL (200 mg) respectively.
CONCLUSION
In conclusion, opicapone (50 mg) may be a better choice for treatment PD when compared with other COMT inhibitors.
Topics: Humans; Parkinson Disease; Levodopa; Antiparkinson Agents; Tolcapone; Network Meta-Analysis; Catechol O-Methyltransferase Inhibitors; Catechols; Transferases; Randomized Controlled Trials as Topic; Nitriles
PubMed: 38437773
DOI: 10.1016/j.clineuro.2024.108189 -
BMJ Neurology Open 2024The aim of this manuscript is to review the evidence and compare the efficacy and safety of catechol-O-methyltransferase inhibitors (COMT-Is), dopamine receptor agonists...
BACKGROUND
The aim of this manuscript is to review the evidence and compare the efficacy and safety of catechol-O-methyltransferase inhibitors (COMT-Is), dopamine receptor agonists (DRAs) and monoamine-oxidase B inhibitors (MAOB-Is) as adjunctive treatment to levodopa in patients with Parkinson's disease (PD) experiencing motor complications.
METHODS
In this systematic review and network meta-analysis, literature searches were performed in MEDLINE and Embase to identify eligible randomised controlled trials (RCTs) with a minimal follow-up of at least 4 weeks published in English between 1980 and 2021. RCTs were included if either a COMT-I, DRA or MAOB-I was evaluated as an adjunctive therapy to levodopa in patients with PD experiencing motor complications and dyskinesia. The main outcomes included daily off-medication time, motor and non-motor examination scales, and adverse events including dyskinesia.
RESULTS
74 RCTs reporting on 18 693 patients were included. All three studied drug classes decreased daily off-medication time compared with placebo (COMT-Is mean -0.8 hours (95% CI -1.0 to -0.6), DRAs -1.1 hours (95% CI -1.4 to -0.8), MAOB-Is -0.9 hours (95% CI -1.2 to -0.6)). Safety analysis showed an increased risk of dyskinesia for all three drug classes (COMT-Is OR 3.3 (95% CI 2.7 to 4.0), DRAs 3.0 (95% CI 2.5 to 3.5), MAOB-Is 1.6 (95% CI 1.2 to 2.2)). According to surface under the cumulative ranking curve scores, pramipexole IR was associated with the most favourable benefit-risk profile.
CONCLUSIONS
COMT-Is, DRAs and MAOB-Is effectively reduce motor complications and increase incidence of dyskinesia. In the network meta-analysis, adjunctive use of DRAs appeared most effective.
PubMed: 38352047
DOI: 10.1136/bmjno-2023-000573 -
Neuro-oncology Advances 2023Glioblastoma is the most aggressive primary brain cancer with a poor prognosis. Despite numerous studies in the past 17 years, effective treatment options for... (Review)
Review
BACKGROUND
Glioblastoma is the most aggressive primary brain cancer with a poor prognosis. Despite numerous studies in the past 17 years, effective treatment options for glioblastoma remain limited. In this study, we aimed to identify and compare phase III clinical trials for glioblastoma in terms of efficacy and baseline characteristics.
METHODS
A systematic literature search was conducted using PubMed and ClinicalTrials.gov to identify phase III clinical trials for glioblastoma in adult patients. The target population included adult patients aged 18 years and above (younger cohort) and patients ≥60 years of age (elderly cohort). The search results were screened based on predefined inclusion criteria, and the included trials were analyzed for their study design, baseline characteristics, and survival results.
RESULTS
Eleven trials met the inclusion criteria in the younger cohort. Of these, three reported a statistically significant improvement in overall survival (OS), including the EORTC/NCIC study (NCT00006353), EF-14 (NCT00916409), and CeTeG (NCT01149109). Of the 11 trials, eight were open-label randomized trials, including all of the positive ones, while three negative trials employed treatment blinding and a placebo control. The baseline characteristics of the trials [such as extent of resection, age, gender, and (6)-methylguanine-DNA-methyltransferase (MGMT) promoter methylation status] did not significantly differ between positive and negative trials. Isocitrate dehydrogenase (IDH) mutation status was analyzed in only two trials, with a small percentage of IDH-mutated tumors in each. Additionally, three more trials in the elderly cohort showed a statistically significant improvement of OS, the NOA-08 trial, the ISRCTN81470623-trial by Malmström et al. and NCT00482677-trial by Perry et al. Their baseline characteristics and implications are also analyzed.
CONCLUSION
This analysis of phase III clinical trials for glioblastoma conducted since 2005 showed that the majority of trials did not result in a significant improvement in OS. Among the trials included in this analysis, only the EORTC/NCIC, EF-14, and CeTeG studies demonstrated a positive OS outcome in the younger cohort.
PubMed: 37811538
DOI: 10.1093/noajnl/vdad105 -
AJNR. American Journal of Neuroradiology Oct 2023The molecular profile of gliomas is a prognostic indicator for survival, driving clinical decision-making for treatment. Pathology-based molecular diagnosis is...
BACKGROUND
The molecular profile of gliomas is a prognostic indicator for survival, driving clinical decision-making for treatment. Pathology-based molecular diagnosis is challenging because of the invasiveness of the procedure, exclusion from neoadjuvant therapy options, and the heterogeneous nature of the tumor.
PURPOSE
We performed a systematic review of algorithms that predict molecular subtypes of gliomas from MR Imaging.
DATA SOURCES
Data sources were Ovid Embase, Ovid MEDLINE, Cochrane Central Register of Controlled Trials, Web of Science.
STUDY SELECTION
Per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 12,318 abstracts were screened and 1323 underwent full-text review, with 85 articles meeting the inclusion criteria.
DATA ANALYSIS
We compared prediction results from different machine learning approaches for predicting molecular subtypes of gliomas. Bias analysis was conducted for each study, following the Prediction model Risk Of Bias Assessment Tool (PROBAST) guidelines.
DATA SYNTHESIS
Isocitrate dehydrogenase mutation status was reported with an area under the curve and accuracy of 0.88 and 85% in internal validation and 0.86 and 87% in limited external validation data sets, respectively. For the prediction of promoter methylation, the area under the curve and accuracy in internal validation data sets were 0.79 and 77%, and in limited external validation, 0.89 and 83%, respectively. PROBAST scoring demonstrated high bias in all articles.
LIMITATIONS
The low number of external validation and studies with incomplete data resulted in unequal data analysis. Comparing the best prediction pipelines of each study may introduce bias.
CONCLUSIONS
While the high area under the curve and accuracy for the prediction of molecular subtypes of gliomas are reported in internal and external validation data sets, limited use of external validation and the increased risk of bias in all articles may present obstacles for clinical translation of these techniques.
Topics: Humans; Glioma; Machine Learning; Prognosis; Magnetic Resonance Imaging; Mutation
PubMed: 37770204
DOI: 10.3174/ajnr.A8000 -
Talanta Jun 2024Gene methylation-related enzymes (GMREs) are disfunction and aberrantly expressed in a variety of cancers, such as lung, gastric, and pancreatic cancers and have... (Review)
Review
Gene methylation-related enzymes (GMREs) are disfunction and aberrantly expressed in a variety of cancers, such as lung, gastric, and pancreatic cancers and have important implications for human health. Therefore,it is critical for early diagnosis and therapy of tumor to develop strategies that allow rapid and sensitive quantitative and qualitative detection of GMREs. With the development of modern analytical techniques and the application of various biosensors, there are numerous methods have been developed for analysis of GMREs. Therefore, this paper provides a systematic review of the strategies for level and activity assay of various GMREs including methyltransferases and demethylase. The detection methods mainly involve immunohistochemistry, colorimetry, fluorescence, chemiluminescence, electrochemistry, etc. Then, this review also addresses the coordinated role of various detection probes, novel nanomaterials, and signal amplification methods. The aim is to highlight potential challenges in the present field, to expand the analytical application of GMREs detection strategies, and to meet the urgent need for future disease diagnosis and intervention.
Topics: Humans; DNA Methylation; RNA Methylation; DNA; Biosensing Techniques; Neoplasms
PubMed: 38471421
DOI: 10.1016/j.talanta.2024.125872 -
Journal of Translational Medicine Aug 2023Accurately predicting the outcome of isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) remains hitherto challenging. This study aims to Construct and Validate...
BACKGROUND
Accurately predicting the outcome of isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) remains hitherto challenging. This study aims to Construct and Validate a Robust Prognostic Model for IDH wild-type GBM (COVPRIG) for the prediction of overall survival using a novel metric, gene-gene (G × G) interaction, and explore molecular and cellular underpinnings.
METHODS
Univariate and multivariate Cox regression of four independent trans-ethnic cohorts containing a total of 800 samples. Prediction efficacy was comprehensively evaluated and compared with previous models by a systematic literature review. The molecular underpinnings of COVPRIG were elucidated by integrated analysis of bulk-tumor and single-cell based datasets.
RESULTS
Using a Cox-ph model-based method, six of the 93,961 G × G interactions were screened to form an optimal combination which, together with age, comprised the COVPRIG model. COVPRIG was designed for RNA-seq and microarray, respectively, and effectively identified patients at high risk of mortality. The predictive performance of COVPRIG was satisfactory, with area under the curve (AUC) ranging from 0.56 (CGGA693, RNA-seq, 6-month survival) to 0.79 (TCGA RNAseq, 18-month survival), which can be further validated by decision curves. Nomograms were constructed for individual risk prediction for RNA-seq and microarray-based cohorts, respectively. Besides, the prognostic significance of COVPRIG was also validated in GBM including the IDH mutant samples. Notably, COVPRIG was comprehensively evaluated and externally validated, and a systemic review disclosed that COVPRIG outperformed current validated models with an integrated discrimination improvement (IDI) of 6-16%. Moreover, integrative bioinformatics analysis predicted an essential role of METTL1 neural-progenitor-like (NPC-like) malignant cell in driving unfavorable outcome.
CONCLUSION
This study provided a powerful tool for the outcome prediction for IDH wild-type GBM, and preliminary molecular underpinnings for future research.
Topics: Humans; Glioblastoma; Isocitrate Dehydrogenase; Brain Neoplasms; Prognosis; Nomograms; Methyltransferases
PubMed: 37553713
DOI: 10.1186/s12967-023-04382-2 -
Journal of Clinical Gastroenterology Aug 2023Thiopurines' toxicity often leads to dose reduction or discontinuation. This systematic review aims to synthesize the evidence on the effect of genotype-based dosing of... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Thiopurines' toxicity often leads to dose reduction or discontinuation. This systematic review aims to synthesize the evidence on the effect of genotype-based dosing of thiopurines on treatment efficacy and safety in inflammatory bowel disease (objective #1), and the association between genotype status and the efficacy and safety profile (objective #2).
METHODS
The Cochrane Library, MEDLINE, and EMBASE were searched in August 2021. A total of 80 studies (19,859 individuals) were included. Meta-analyses for mortality, different types of adverse events (AEs), withdrawal due to AE, change in disease activity and clinical remission were performed following mainly a fixed-effects model. PROSPERO registration: CRD42020148130.
RESULTS
Genotype-based dosing was associated to a significantly lower incidence of hematologic AEs (risk ratio=0.71; 95% CI: 0.56-0.90; I2 : 47%; 4 randomized controlled trials; moderate quality), which may be attributable to nudix hydrolase 15 (NUDT15) testing more than to thiopurine methyltransferase (TPMT) genotyping. No differences were found in other outcomes. Mutations in TPMT and NUDT15 genes were associated to a higher probability of serious AEs [odds ratio (OR) TPMT=4.98; OR NUDT15=11.44], hematologic AEs (OR TPMT=3.18), and serious hematologic AEs (OR TPMT=7.88; OR NUDT15=12.83). TPMT was also associated with a higher risk of withdrawals due to AEs (OR=3.38), and NUDT15 with gastrointestinal AEs (OR=2.04). Mutations in the ITPA gene did not lead to significant differences. Evidence of an association between other genes and clinical outcomes is still scarce.
CONCLUSIONS
Mutations in TPMT and NUDT15 genes predispose patients to suffer thiopurine-induced toxicity, and genotype-guided treatment has been shown to contribute to the prevention of thiopurine-induced toxicity, especially in the case of NUDT15 in Asians.
Topics: Humans; Pharmacogenetics; Inflammatory Bowel Diseases; Genotype; Methyltransferases; Pyrophosphatases; Azathioprine
PubMed: 36322453
DOI: 10.1097/MCG.0000000000001791