Association between ABCB1 C3435T polymorphism and antiepileptic drug resistance in epilepsy: An updated meta-analysis based on 62 studies

2021 ◽  
Author(s):  
Yue-Yue Chen ◽  
Yu-yi Feng ◽  
Yin-Nan Chen ◽  
Yun-Ming Cao ◽  
Chun-zhi Ai ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Antiepileptic Drug ◽  
Meta Analysis ◽  
C3435t Polymorphism

scholarly journals Clinical Identification of Dysregulated Circulating microRNAs and Their Implication in Drug Response in Triple Negative Breast Cancer (TNBC) by Target Gene Network and Meta-Analysis

Genes ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 549
Author(s):  
Amal Qattan ◽  
Taher Al-Tweigeri ◽  
Wafa Alkhayal ◽  
Kausar Suleman ◽  
Asma Tulbah ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Drug Resistance ◽  
Triple Negative Breast Cancer ◽  
Drug Response ◽  
Triple Negative ◽  
Meta Analysis ◽  
Integrated Analysis ◽  
Circulating Mirnas ◽  
Persistent Problem ◽  
Network Analyses

Resistance to therapy is a persistent problem that leads to mortality in breast cancer, particularly triple-negative breast cancer (TNBC). MiRNAs have become a focus of investigation as tissue-specific regulators of gene networks related to drug resistance. Circulating miRNAs are readily accessible non-invasive potential biomarkers for TNBC diagnosis, prognosis, and drug-response. Our aim was to use systems biology, meta-analysis, and network approaches to delineate the drug resistance pathways and clinical outcomes associated with circulating miRNAs in TNBC patients. MiRNA expression analysis was used to investigate differentially regulated circulating miRNAs in TNBC patients, and integrated pathway regulation, gene ontology, and pharmacogenomic network analyses were used to identify target genes, miRNAs, and drug interaction networks. Herein, we identified significant differentially expressed circulating miRNAs in TNBC patients (miR-19a/b-3p, miR-25-3p, miR-22-3p, miR-210-3p, miR-93-5p, and miR-199a-3p) that regulate several molecular pathways (PAM (PI3K/Akt/mTOR), HIF-1, TNF, FoxO, Wnt, and JAK/STAT, PD-1/PD-L1 pathways and EGFR tyrosine kinase inhibitor resistance (TKIs)) involved in drug resistance. Through meta-analysis, we demonstrated an association of upregulated miR-93, miR-210, miR-19a, and miR-19b with poor overall survival outcomes in TNBC patients. These results identify miRNA-regulated mechanisms of drug resistance and potential targets for combination with chemotherapy to overcome drug resistance in TNBC. We demonstrate that integrated analysis of multi-dimensional data can unravel mechanisms of drug-resistance related to circulating miRNAs, particularly in TNBC. These circulating miRNAs may be useful as markers of drug response and resistance in the guidance of personalized medicine for TNBC.

scholarly journals Association between SCN1A polymorphism rs3812718 and valproic acid resistance in epilepsy children: a case–control study and meta-analysis

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Zhi Jian Wang ◽  
Jie Chen ◽  
Hai Liang Chen ◽  
Lin Yan Zhang ◽  
Duo Xu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Valproic Acid ◽  
Drug Resistance ◽  
Meta Analysis ◽  
Acid Resistance ◽  
Recessive Model ◽  
Nucleotide Polymorphisms ◽  
Voltage Gated Sodium Channels ◽  
Significant Difference ◽  
Control Study

Resistance to valproic acid (VPA), a first-line antiepileptic drug (AED), is occurring at an alarming rate, particularly in children. Signal nucleotide polymorphisms are considered crucial in this process. Therefore, we investigated whether the SCN1A polymorphism rs3812718 could be associated with VPA resistance. A total of 231 children with epilepsy who were solely administered VPA were enrolled. DNA was extracted from the peripheral blood samples and was genotyped by the Mass Array method. Furthermore, a meta-analysis was conducted between the drug responsive and resistant patients who were exposed to voltage-gated sodium channels. Results revealed that the TT genotype was associated with a higher risk of developing drug resistance (OR = 2.636, 95% CI 1.08–6.433, P = 0.033). After adjusting for the risk factors, a significant difference was still observed between the responsive and resistant groups (OR = 2.861, 95% CI 1.141–7.174, P = 0.025). Moreover, the recessive model was associated with a decreased drug resistance (OR = 0.402, 95% CI 0.167–0.968, P = 0.042) after correcting the risk factors. Meta-analysis of nine studies revealed similar results. In conclusion, our results proved that the rs3812718 TT genotype was associated with a high risk of developing drug resistance, and the recessive model could decrease the risk of VPA resistance.

Should Levetiracetam or Phenytoin Be Used for Posttraumatic Seizure Prophylaxis? A Systematic Review of the Literature and Meta-analysis

Neurosurgery ◽  
2016 ◽  
Vol 79 (6) ◽  
pp. 775-782 ◽  
Author(s):  
Nickalus R. Khan ◽  
Matthew A. VanLandingham ◽  
Tamara M. Fierst ◽  
Caroline Hymel ◽  
Kathryn Hoes ◽  
...  
Keyword(s):  
Systematic Review ◽  
Antiepileptic Drug ◽  
Random Effects ◽  
Meta Analysis ◽  
Inclusion Criteria ◽  
Seizure Prophylaxis ◽  
Number Of Patients ◽  
Severe Tbi ◽  
Antiepileptic Drug Therapy

Abstract BACKGROUND: Posttraumatic seizure (PTS) is a significant complication of traumatic brain injury (TBI). OBJECTIVE: To perform a systematic review and meta-analysis to compare levetiracetam with phenytoin for seizure prophylaxis in patients diagnosed with severe TBI. METHODS: An inclusive search of several electronic databases and bibliographies was conducted to identify scientific studies that compared the effect of levetiracetam and phenytoin on PTS. Independent reviewers obtained data and classified the quality of each article that met inclusion criteria. A random effects meta-analysis was then completed. RESULTS: During June and July 2015, a systematic literature search was performed that identified 6097 articles. Of these, 7 met inclusion criteria. A random-effects meta-analysis was performed. A total of 1186 patients were included. The rate of seizure was 35 of 654 (5.4%) in the levetiracetam cohort and 18 of 532 (3.4%) in the phenytoin cohort. Our meta-analysis revealed no change in the rate of early PTS with levetiracetam compared with phenytoin (relative risk, 1.02; 95% confidence interval, 0.53-1.95; P = .96). CONCLUSION: The lack of evidence on which antiepileptic drug to use in PTS is surprising given the number of patients prescribed an antiepileptic drug therapy for TBI. On the basis of currently available Level III evidence, patients treated with either levetiracetam or phenytoin have similar incidences of early seizures after TBI.

scholarly journals Clinical Impact of Pretreatment Human Immunodeficiency Virus Drug Resistance in People Initiating Nonnucleoside Reverse Transcriptase Inhibitor–Containing Antiretroviral Therapy: A Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Silvia Bertagnolio ◽  
Lucas Hermans ◽  
Michael R Jordan ◽  
Santiago Avila-Rios ◽  
Collins Iwuji ◽  
...  
Keyword(s):  
Systematic Review ◽  
Human Immunodeficiency Virus ◽  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Treatment Outcomes ◽  
Meta Analysis ◽  
Transcriptase Inhibitor ◽  
Nonnucleoside Reverse Transcriptase Inhibitor ◽  
Immunodeficiency Virus ◽  
Reverse Transcriptase Inhibitor

Abstract Background Increased access to antiretroviral therapy (ART) has resulted in rising levels of pretreatment human immunodeficiency virus drug resistance (PDR). This is the first systematic review and meta-analysis to assess the impact of PDR on treatment outcomes among people initiating nonnucleoside reverse transcriptase inhibitor (NNRTI)–based ART, including the combination of efavirenz (EFV), tenofovir (TDF), and lamivudine or emtricitabine (XTC). Methods We systematically reviewed studies and conference proceedings comparing treatment outcomes in populations initiating NNRTI-based ART with and without PDR. We conducted subgroup analyses by regimen: (1) NNRTIs + 2 nucleoside reverse transcriptase inhibitors (NRTIs), (2) EFV + 2 NRTIs, or (3) EFV/TDF/XTC; by population (children vs adults); and by definition of resistance (PDR vs NNRTI PDR). Results Among 6197 studies screened, 32 were analyzed (31 441 patients). We found that individuals with PDR initiating NNRTIs across all the subgroups had increased risk of virological failure compared to those without PDR. Risk of acquisition of new resistance mutations and ART switch was also higher in people with PDR. Conclusions This review shows poorer treatment outcomes in the presence of PDR, supporting the World Health Organization’s recommendation to avoid using NNRTIs in countries where levels of PDR are high.

scholarly journals Meta-analysis and discussion on challenges to translate Leishmania drug resistance phenotyping into the clinic

Acta Tropica ◽  
2019 ◽  
Vol 191 ◽  
pp. 204-211 ◽  
Author(s):  
Denis Sereno ◽  
Zoubir Harrat ◽  
Naouel Eddaikra
Keyword(s):  
Drug Resistance ◽  
Meta Analysis

scholarly journals Expanded Spectrum of Antiretroviral-Selected Mutations in Human Immunodeficiency Virus Type 2

2020 ◽  
Vol 221 (12) ◽  
pp. 1962-1972 ◽  
Author(s):  
Philip L Tzou ◽  
Diane Descamps ◽  
Soo-Yon Rhee ◽  
Dana N Raugi ◽  
Charlotte Charpentier ◽  
...  
Keyword(s):  
Human Immunodeficiency Virus ◽  
Drug Resistance ◽  
Amino Acid ◽  
Meta Analysis ◽  
Multiple Comparisons ◽  
Resistance Mutations ◽  
Drug Resistance Mutations ◽  
Immunodeficiency Virus ◽  
Hiv 1

Abstract Background HIV-1 and HIV-2 differ in their antiretroviral (ARV) susceptibilities and drug resistance mutations (DRMs). Methods We analyzed published HIV-2 pol sequences to identify HIV-2 treatment-selected mutations (TSMs). Mutation prevalences were determined by HIV-2 group and ARV status. Nonpolymorphic mutations were those in <1% of ARV-naive persons. TSMs were those associated with ARV therapy after multiple comparisons adjustment. Results We analyzed protease (PR) sequences from 483 PR inhibitor (PI)-naive and 232 PI-treated persons; RT sequences from 333 nucleoside RT inhibitor (NRTI)-naive and 252 NRTI-treated persons; and integrase (IN) sequences from 236 IN inhibitor (INSTI)-naive and 60 INSTI-treated persons. In PR, 12 nonpolymorphic TSMs occurred in ≥11 persons: V33I, K45R, V47A, I50V, I54M, T56V, V62A, A73G, I82F, I84V, F85L, L90M. In RT, 9 nonpolymorphic TSMs occurred in ≥10 persons: K40R, A62V, K70R, Y115F, Q151M, M184VI, S215Y. In IN, 11 nonpolymorphic TSMs occurred in ≥4 persons: Q91R, E92AQ, T97A, G140S, Y143G, Q148R, A153G, N155H, H156R, R231 5-amino acid insertions. Nine of 32 nonpolymorphic TSMs were previously unreported. Conclusions This meta-analysis confirmed the ARV association of previously reported HIV-2 DRMs and identified novel TSMs. Genotypic and phenotypic studies of HIV-2 TSMs will improve approaches to predicting HIV-2 ARV susceptibility and treating HIV-2–infected persons.

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