Biomedicines. 2022 Oct 30;10(11):2755. doi: 10.3390/biomedicines10112755.

ABSTRACT

INTRODUCTION: Obstructive sleep apnea (OSA) is a worldwide breathing disorder that has been diagnosed globally in almost 1 billion individuals aged 30-69 years. It is characterized by repeated upper airway collapses during sleep. Telomerase reverse transcriptase (TERT) is involved in the prevention of telomere shortening. This prospective, observational study aimed to investigate the relationship between single nucleotide polymorphisms (SNPs) of TERT and the severity of OSA, taking into account hypertension and diabetes prevalence.

METHODS: A total of 149 patients with OSA were diagnosed using one-night video-polysomnography based on the American Academy of Sleep Medicine guidelines. The TERT SNPs and telomere length (TL) were detected using real-time quantitative polymerase chain reaction.

RESULTS: Statistical analysis showed that there is no relationship between the rs2853669 and rs2736100 polymorphisms of TERT, and the severity of OSA (p > 0.05). Moreover, no relationship between TL and the severity of OSA was observed. The G allele in the locus of rs2736100 TERT was associated with hypertension prevalence and was more prevalent in hypertensives patients (46.00% vs. 24.49%, p = 0.011). The prevalence of hypertension was higher in patients with the C allele in the locus of rs2853669 than in patients without this allele (50.79% vs. 30.23%, p = 0.010). Moreover, a lower prevalence of diabetes was observed in homozygotes of rs2736100 TERT than in heterozygotes (5.63% vs. 15.38%, p = 0.039).

CONCLUSION: This study showed no relationship between OSA and TERT SNPs. However, SNPs of the TERT gene (rs2736100 and rs2853669) were found to affect arterial hypertension and diabetes prevalence.

PMID:36359275 | DOI:10.3390/biomedicines10112755

Cancers (Basel). 2022 Nov 4;14(21):5436. doi: 10.3390/cancers14215436.

ABSTRACT

Breast cancer (BC) is the prevailing malignancy and major cause of cancer-related death in females. Doxorubicin is a part of BC neoadjuvant and adjuvant chemotherapy regimens. The administration of anthracycline derivates, such as doxorubicin, may cause several side effects, including hematological disfunction, gastrointestinal toxicity, hepatotoxicity, nephrotoxicity, and cardiotoxicity. Cardiotoxicity is a major adverse reaction to anthracyclines, and it may vary depending on individual differences in doxorubicin pharmacokinetics. Determination of specific polymorphisms of genes that can alter doxorubicin metabolism was shown to reduce the risk of adverse reactions and improve the safety and efficacy of doxorubicin. Genes which encode cytochrome P450 enzymes (CYP3A4 and CYP2D6), p-glycoproteins (ATP-binding cassette (ABC) family members such as Multi-Drug Resistance 1 (MDR1) protein), and other detoxifying enzymes were shown to control the metabolism and pharmacokinetics of doxorubicin. The effectiveness of doxorubicin is defined by the polymorphism of cytochrome p450 and p-glycoprotein-encoding genes. This study critically discusses the latest data about the role of gene polymorphisms in the regulation of doxorubicin's anti-BC effects. The correlation of genetic differences with the efficacy and safety of doxorubicin may provide insights for the development of personalized medical treatment for BC patients.

PMID:36358854 | DOI:10.3390/cancers14215436

Cancers (Basel). 2022 Nov 2;14(21):5393. doi: 10.3390/cancers14215393.

ABSTRACT

To demonstrate the value of hypoxia-inducible factor-1α (HIF-1α) in predicting response in patients with breast cancer receiving standard neoadjuvant chemotherapy (NAC).

METHODS: Ninety-five women enrolled in two prospective studies underwent biopsies for the histopathological diagnosis of breast carcinoma before receiving NAC, based on anthracyclines and taxanes. For expression of HIF-1α, EGFR, pAKT and pMAPK, tumor samples were analyzed by immunohistochemistry in tissues microarrays. Standard statistical methods (Pearson chi-square test, Fisher exact test, Kruskal-Wallis test, Mann-Whitney test and Kaplan-Meier method) were used to study the association of HIF-1α with tumor response, survival and other clinicopathologic variables/biomarkers.

RESULTS: HIF-1α expression was positive in 35 (39.7%) cases and was significantly associated to complete pathological response (pCR) (p = 0.014). HIF-1α expression was correlated positively with tumor grade (p = 0.015) and Ki-67 expression (p = 0.001) and negativity with progesterone receptors (PR) (p = 0.04) and luminal A phenotype expression (p = 0.005). No correlation was found between HIF-1α expression and EGFR, pAKT and pMAPK. In terms of survival, HIF-1α expression was associated with a significantly shorter disease-free survival (p = 0.013), being identified as an independent prognostic factor in multivariate analysis.

CONCLUSIONS: Overexpression of HIF-1α is a predictor of pCR and shorter DFS; it would be valuable to confirm these results in prospective studies.

PMID:36358811 | DOI:10.3390/cancers14215393

Biology (Basel). 2022 Nov 3;11(11):1608. doi: 10.3390/biology11111608.

ABSTRACT

This study evaluated the association between the H1299R factor V (FV) variant (rs1800595) and recurrent pregnancy loss (RPL). Pubmed (MEDLINE) and Embase (OVID) bibliographic databases were searched from the inception to 31 May 2022 to identify suitable articles according to PRISMA and MOOSE guidelines. We included observational studies, case-control studies, cross-sectional studies, and cohort studies reporting a numerical and well-distinguished Het or Hom status of the H1299R variant obtained through PCR or other biochemical techniques and comparing RPL patients with a healthy control group. The review protocol was registered at PROSPERO (CRD42022330077). Two authors independently screened studies, extracted data, and carried out the risk of bias assessment using the Newcastle Ottawa scale (NOS). A meta-analysis was performed with RevMan software Version 5.4 using an odds ratio (OR) with an M-H, random effect, and 95% CI. We included 13 clinical studies for a total of 1669 RPL patients and 1466 healthy women as a control group. H1299R variant was slightly associated with RPL albeit without significance (OR 1.18, 95% CI: 0.78-1.80, p = 0.44). Subgroup analyses considering H1299R in heterozygosity (OR 1.13, 95% CI: 0.76-1.67, p = 0.56) and in homozygosity (OR: 2.11, 95% CI: 0.74-6.01, p = 0.16) revealed a similar trend. Lastly, we evaluated the association between H1299R and RPL based on the number of previous miscarriages (≥2 or ≥3). This comprehensive systematic review and meta-analysis sheds light on the specific influence of the H1299R variant in the F5 gene on RPL, constituting valid support for medical care during pregnancy and genetic counseling.

PMID:36358309 | DOI:10.3390/biology11111608

Cancer Chemother Pharmacol. 2022 Nov 10. doi: 10.1007/s00280-022-04491-7. Online ahead of print.

ABSTRACT

Dihydropyrimidine dehydrogenase (DPYD) is the rate-limiting step in fluoropyrimidines metabolism. Currently, genotype-guided fluoropyrimidine dosing is recommended for four DPYD single nucleotide variants (SNVs). However, the clinical impact of additional DPYD SNVs on fluoropyrimidine-related toxicity remains controversial. We assessed common DPYD SNVs c.85T>C, and c.496A>G which are often in linkage disequilibrium with c.1236G>A, a variant currently recommended for DPYD genotyping, in a retrospective cohort of cancer patients who had received fluoropyrimidines (N = 1371). When assessing individual SNVs, during the total chemotherapy treatment period, a significant increased risk of severe grade ≥ 3 toxicity was seen in carriers of c.496A>G (OR = 1.38, 95% CI 1.01-1.88, p = 0.0405) after adjusting for age, sex and treatment drug (capecitabine or 5-Fluorouracil). No association with fluoropyrimidine-related toxicity was seen in patients given standard dosing among those carrying one allele of DPYD c.1236G>A (OR = 1.19, 95% CI 0.59-2.27, p = 0.6147) or c.85T>C (OR = 1.04, 95% CI 0.80-1.62, p = 0.7536). Haplotype analysis confirmed a high linkage disequilibrium of these three variants. Toxicity was not significantly increased in haplotypes containing only one of c.85T>C or c.496A>G or c.1236G>A alleles. However, the haplotype containing both c.85T>C and c.496A>G alleles, which had a predicted frequency of 7.1%, was associated with an increased risk of fluoropyrimidine toxicity (OR = 1.57, 95% CI 1.15-2.13, p = 0.0041). This study suggests DPYD haplotype structure may help explain previous conflicting studies concerning the impact of these variants. Our findings suggest patients with both DPYD c.85T>C and c.496A>G variants have a significant increased risk for toxicity and may potentially benefit from genotype-guided fluoropyrimidine dosing.

PMID:36357798 | DOI:10.1007/s00280-022-04491-7

Gene. 2022 Nov 7:147021. doi: 10.1016/j.gene.2022.147021. Online ahead of print.

ABSTRACT

The expression level of mRNA and also the function of P-gp are strictly connected with the polymorphic nature of the ABCB1 gene. In this study, we evaluated the association between promoter SNP, i.e. T-129C, three other SNPs investigated earlier and ABCB1 expression in the depression group. To assess the additive significance of these SNPs on clinicopathological features a mathematical model was also built. 102 patients suffering from recurrent depressive disorder (rDD) and 94 healthy individuals from a local blood bank were enrolled in this study. ABCB1 gene polymorphism was identified by the RFLP method. The relative level of ABCB1 expression was measured by real-time PCR. For SNP T-129C no statistically significant differences in allele and genotype frequencies between depression and control groups were found (p=0.3176). There was no statistically significant association between the expression value and 4 studied SNPs in ABCB1 (T-129C, C1236T, G2677T/A and C3435T) or the investigated clinicopathological features. Furthermore, a correlation between the initial HDRS score (lower than 23) and presence of at least 1236T allele was observed, in particular in combination with 3435T or 2677T/A. Mutated allele of each SNP was also significantly associated with declined response to antidepressant therapy, both individually and in combination with others. Results of this study suggest that T-129C does not play an important role in the rDD development. The influence of the studied SNPs on ABCB1 gene expression is still unknown. However, the additive impact of 3 most frequently studied SNPs of ABCB1 on the course of depression and effectiveness of its treatment was confirmed.

PMID:36356904 | DOI:10.1016/j.gene.2022.147021

JCO Precis Oncol. 2022 Nov;6:e2200244. doi: 10.1200/PO.22.00244.

ABSTRACT

PURPOSE: Prognostic tools to estimate the risk of relapse for patients with liver-limited metastatic colorectal cancer (LL-mCRC) undergoing resection with curative intent are needed. Circulating tumor DNA (ctDNA) as a surrogate of postsurgical minimal residual disease is a promising marker in localized CRC. We explored the role of postoperative ctDNA as a marker of minimal residual disease in patients with radically resected LL-mCRC.

MATERIALS AND METHODS: Seventy-six patients with LL-mCRC were retrospectively included. DNA from tumor tissue was sequenced, and one somatic mutation was then assessed by digital droplet polymerase chain reaction in plasma samples collected after surgery to identify the persistence of ctDNA. Relapse-free survival and postresection overall survival were compared between patients with positive vs negative postoperative ctDNA.

RESULTS: ctDNA was found in 39 (51%) of 76 patients with LL-mCRC. At a median follow-up of 77 months, 33 of 39 ctDNA-positive patients and 20 of 37 ctDNA-negative patients experienced disease relapse (P = .008). ctDNA-positive patients reported significantly shorter RFS than ctDNA-negative ones (median RFS 12.7 v 27.4 months hazard ratio, 2.09, P = .008). In the multivariable model including other prognostic covariates, this association was still significant (P = .046) and a trend toward shorter overall survival among ctDNA-positive patients was reported (hazard ratio, 1.65, P = .183).

CONCLUSION: The detection of postsurgical ctDNA is an independent negative prognostic marker and identifies patients at high risk of relapse after liver metastases resection.

PMID:36356286 | DOI:10.1200/PO.22.00244

J Neurol. 2022 Nov 10. doi: 10.1007/s00415-022-11478-0. Online ahead of print.

ABSTRACT

Neuropathic pain is difficult to treat, and an understanding of the risk factors for its onset and resolution is warranted. This study aimed to develop and externally validate two clinical risk models to predict onset and resolution of chronic neuropathic pain. Participants of Generation Scotland: Scottish Family Health Study (GS; general Scottish population; n = 20,221) and Genetic of Diabetes Audit and Research in Tayside Scotland (GoDARTS; n = 5236) were sent a questionnaire on neuropathic pain and followed- -up 18 months later. Chronic neuropathic pain was defined using DN4 scores (≥ 3/7) and pain for 3 months or more. The models were developed in GS using logistic regression with backward elimination based on the Akaike information criterion. External validation was conducted in GoDARTS and assessed model discrimination (ROC and Precision-Recall curves), calibration and clinical utility (decision curve analysis [DCA]). Analysis revealed incidences of neuropathic pain onset (6.0% in GS [236/3903] and 10.7% in GoDARTS [61/571]) and resolution (42.6% in GS [230/540] and 23.7% in GoDARTS [56/236]). Psychosocial and lifestyle factors were included in both onset and resolved prediction models. In GoDARTS, these models showed adequate discrimination (ROC = 0.636 and 0.699), but there was evidence of miscalibration (Intercept = - 0.511 and - 0.424; slope = 0.623 and 0.999). The DCA indicated that the models would provide clinical benefit over a range of possible risk thresholds. To our knowledge, these are the first externally validated risk models for neuropathic pain. The findings are of interest to patients and clinicians in the community, who may take preventative or remedial measures.

PMID:36355188 | DOI:10.1007/s00415-022-11478-0

Curr Issues Mol Biol. 2022 Nov 4;44(11):5498-5515. doi: 10.3390/cimb44110372.

ABSTRACT

The WD repeat containing antisense to TP53 (WRAP53) gene codifies an antisense transcript for tumor protein p53 (TP53), stabilization (WRAP53α), and a functional protein (WRAP53β, WDR79, or TCAB1). The WRAP53β protein functions as a scaffolding protein that is important for telomerase localization, telomere assembly, Cajal body integrity, and DNA double-strand break repair. WRAP53β is one of many proteins known for containing WD40 domains, which are responsible for mediating a variety of cell interactions. Currently, WRAP53 overexpression is considered a biomarker for a diverse subset of cancer types, and in this study, we describe what is known about WRAP53β's multiple interactions in cell protein trafficking, Cajal body formation, and DNA double-strand break repair and its current perspectives as a biomarker for cancer.

PMID:36354684 | DOI:10.3390/cimb44110372

Psychiatr Genet. 2022 Dec 1;32(6):246-248. doi: 10.1097/YPG.0000000000000324. Epub 2022 Oct 20.

ABSTRACT

A considerable group of patients suffering from mental health disorders do not respond adequately to pharmacological treatment. For the purposes of precision and personalized medicine, pharmacogenomics has been developed as a valuable and promising tool. The technology of identifying single nucleotide polymorphisms and genotyping supplies clinicians, and therefore their patients, with the opportunity of avoiding long-lasting 'trial and error' periods, reducing the risk of manifesting disturbing adverse effects during treatment. Consequently, better adherence to treatment and clinical response can be achieved, contributing to personalized treatment planning, according to a person's genetic profile and needs. In the present report, we present a case of an individual diagnosed with bipolar affective disorder type I, who showed resistance to pharmacological treatment and underwent through pharmacogenomic investigations, in order to identify the appropriate medication for the best possible clinical response.

PMID:36354139 | DOI:10.1097/YPG.0000000000000324

Pharmgenomics Pers Med. 2022 Nov 2;15:879-911. doi: 10.2147/PGPM.S338601. eCollection 2022.

ABSTRACT

Cardiovascular disease remains a leading cause of both morbidity and mortality worldwide. It is widely accepted that both concomitant medications (drug-drug interactions, DDIs) and genomic factors (drug-gene interactions, DGIs) can influence cardiovascular drug-related efficacy and safety outcomes. Although thousands of DDI and DGI (aka pharmacogenomic) studies have been published to date, the literature on drug-drug-gene interactions (DDGIs, cumulative effects of DDIs and DGIs) remains scarce. Moreover, multimorbidity is common in cardiovascular disease patients and is often associated with polypharmacy, which increases the likelihood of clinically relevant drug-related interactions. These, in turn, can lead to reduced drug efficacy, medication-related harm (adverse drug reactions, longer hospitalizations, mortality) and increased healthcare costs. To examine the extent to which DDGIs and other interactions influence efficacy and safety outcomes in the field of cardiovascular medicine, we review current evidence in the field. We describe the different categories of DDIs and DGIs before illustrating how these two interact to produce DDGIs and other complex interactions. We provide examples of studies that have reported the prevalence of clinically relevant interactions and the most implicated cardiovascular medicines before outlining the challenges associated with dealing with these interactions in clinical practice. Finally, we provide recommendations on how to manage the challenges including but not limited to expanding the scope of drug information compendia, interaction databases and clinical implementation guidelines (to include clinically relevant DDGIs and other complex interactions) and work towards their harmonization; better use of electronic decision support tools; using big data and novel computational techniques; using clinically relevant endpoints, preemptive genotyping; ensuring ethnic diversity; and upskilling of clinicians in pharmacogenomics and personalized medicine.

PMID:36353710 | PMC:PMC9639705 | DOI:10.2147/PGPM.S338601

Front Pharmacol. 2022 Oct 24;13:1029073. doi: 10.3389/fphar.2022.1029073. eCollection 2022.

ABSTRACT

The cytochrome P450 2D6 (CYP2D6) is a key xenobiotic-metabolizing enzyme involved in the clearance of many drugs. Genetic polymorphisms in CYP2D6 contribute to the large inter-individual variability in drug metabolism and could affect metabolic phenotyping of CYP2D6 probe substances such as dextromethorphan (DXM). To study this question, we (i) established an extensive pharmacokinetics dataset for DXM; and (ii) developed and validated a physiologically based pharmacokinetic (PBPK) model of DXM and its metabolites dextrorphan (DXO) and dextrorphan O-glucuronide (DXO-Glu) based on the data. Drug-gene interactions (DGI) were introduced by accounting for changes in CYP2D6 enzyme kinetics depending on activity score (AS), which in combination with AS for individual polymorphisms allowed us to model CYP2D6 gene variants. Variability in CYP3A4 and CYP2D6 activity was modeled based on in vitro data from human liver microsomes. Model predictions are in very good agreement with pharmacokinetics data for CYP2D6 polymorphisms, CYP2D6 activity as described by the AS system, and CYP2D6 metabolic phenotypes (UM, EM, IM, PM). The model was applied to investigate the genotype-phenotype association and the role of CYP2D6 polymorphisms for metabolic phenotyping using the urinary cumulative metabolic ratio (UCMR), DXM/(DXO + DXO-Glu). The effect of parameters on UCMR was studied via sensitivity analysis. Model predictions indicate very good robustness against the intervention protocol (i.e. application form, dosing amount, dissolution rate, and sampling time) and good robustness against physiological variation. The model is capable of estimating the UCMR dispersion within and across populations depending on activity scores. Moreover, the distribution of UCMR and the risk of genotype-phenotype mismatch could be estimated for populations with known CYP2D6 genotype frequencies. The model can be applied for individual prediction of UCMR and metabolic phenotype based on CYP2D6 genotype. Both, model and database are freely available for reuse.

PMID:36353484 | PMC:PMC9637881 | DOI:10.3389/fphar.2022.1029073

Biomark Res. 2022 Nov 9;10(1):78. doi: 10.1186/s40364-022-00430-z.

ABSTRACT

Tobacco smoking is associated with increased risks of nearly 20 types of cancer. Although the association between smoking and gliomas, the most prevalent type of adult brain tumor, is still unconclusive, here, we found that the frequency of NF1 mutations was significantly increased in the glioma patients with smoking history compared to non-smoking patients (24% vs. 10%, P = 0.021). NF1 acts as a tumor suppressor gene is highly mutated in gliomas. The TCGA data analysis indicated that glioma patients carrying NF1 somatic mutations have worse overall survival (median survival time: smoking 19.9 months vs. non-smoking 36.8 month; P = 0.0018). In addition, we revealed that the NF1 and IDH1 mutations were mutually exclusive suggesting NF1 mutation has independent molecular mechanism involved in glioma biology.

PMID:36352461 | DOI:10.1186/s40364-022-00430-z

Rinsho Ketsueki. 2022;63(10):1353-1362. doi: 10.11406/rinketsu.63.1353.

ABSTRACT

Therapeutic response and drug-induced toxicity have been reported to be associated with genetic variants of drug-metabolizing enzymes and transporters. Recently, new causative variants associated with drug response have been reported by genome-wide association studies (GWASs). Additionally, therapeutic response has been predicted using a model of multiple single-nucleotide polymorphisms. In acute lymphoblastic leukemia (ALL), the genetic variants of NUDT15 associated with therapeutic response to 6-mercaptopurine (6-MP) have been reported by GWASs, and the frequency of NUDT15 variants was higher in Asians. Then, several reports on NUDT15 genetic variants associated with 6-MP-induced toxicities and the tolerable doses and outcomes of 6-MP therapy for ALL have been published in Asian countries. The drugs used in treating hematological malignancies have reported new genetic variants associated with its therapeutic response. However, the association between these genetic variants has not been validated in other populations. Here, we reviewed recent reports on the association between the genetic variants and response to drugs used in treating hematological malignancies, such as 6-MP, cytarabine, methotrexate, and vincristine.

PMID:36351640 | DOI:10.11406/rinketsu.63.1353

Clin Pharmacol Ther. 2022 Nov 9. doi: 10.1002/cpt.2790. Online ahead of print.

ABSTRACT

Pharmacogenomics (PGx) investigates the genetic influence on drug response and is an integral part of precision medicine. While PGx testing is becoming more common in clinical practice and may be reimbursed by Medicare/Medicaid and commercial insurance, interpreting PGx testing results for clinical decision support is still a challenge. The Pharmacogenomics Clinical Annotation Tool (PharmCAT) has been designed to tackle the need for transparent, automatic interpretations of patient genetic data. PharmCAT incorporates a patient's genotypes, annotates PGx information (allele, genotype, and phenotype), and generates a report with PGx guideline recommendations from the Clinical Pharmacogenetics Implementation Consortium (CPIC) and/or the Dutch Pharmacogenetics Working Group (DPWG). PharmCAT has introduced new features in the last two years, including a VCF preprocessor, the inclusion of DPWG guidelines, and functionalities for PGx research. For example, researchers can use the VCF preprocessor to prepare biobank-scale data for PharmCAT. In addition, PharmCAT enables the assessment of novel partial and combination alleles that are composed of known PGx variants and can call CYP2D6 genotypes based on SNPs and INDELs in the input VCF file. This tutorial provides materials and detailed step-by-step instructions for how to use PharmCAT in a versatile way that can be tailored to users' individual needs.

PMID:36350094 | DOI:10.1002/cpt.2790

Pharmacogenomics J. 2022 Nov 8. doi: 10.1038/s41397-022-00296-2. Online ahead of print.

ABSTRACT

Head and neck squamous cell carcinomas (HNSCCs) are introduced as the sixth most common cancer in the world. Detection of predictive biomarkers improve early diagnosis and prognosis. Recent cancer researches provide a new avenue for organoids, known as "mini-organs" in a dish, such as patient-derived organoids (PDOs), for cancer modeling. HNSCC burden, heterogeneity, mutations, and organoid give opportunities for the evaluation of drug sensitivity/resistance response according to the unique genetic profile signature. The Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR) nucleases, as an efficient genome engineering technology, can be used for genetic manipulation in three-dimensional (3D) organoids for cancer modeling by targeting oncogenes/tumor suppressor genes. Moreover, single-cell analysis of circulating tumor cells (CTCs) improved understanding of molecular angiogenesis, distance metastasis, and drug screening without the need for tissue biopsy. Organoids allow us to investigate the biopathogenesis of cancer, tumor cell behavior, and drug screening in a living biobank according to the specific genetic profile of patients.

PMID:36347937 | DOI:10.1038/s41397-022-00296-2

Epilepsy Behav Rep. 2022 Oct 19;20:100568. doi: 10.1016/j.ebr.2022.100568. eCollection 2022.

ABSTRACT

Pediatric acute liver failure (PALF) is a rare and life-threatening clinical syndrome for which drug-induced liver injury is a cause. Lamotrigine (LTG) is generally a safe and effective antiseizure medication, and PALF related to LTG has rarely been reported. Here, we describe two cases of PALF associated with LTG in children with epilepsy. In both patients, LTG was used in combination with valproic acid at an initial dose exceeding the recommended dose, which increased the risk of adverse reactions. In addition, single nucleotide polymorphisms of genes associated with the pharmacokinetics and pharmacodynamics of LTG were selected for pharmacogenomic testing. However, the results revealed that genotypes of the patients had variable effects on the serum concentration and therapeutic responsiveness of LTG and therefore did not explain the clinical manifestations well. The findings of this case report caution clinicians to be aware of the risk of liver failure when using antiseizure medication in polytherapy, especially LTG in combination with valproic acid. When administered to children, the recommended dosage of LTG should be strictly followed. Further pharmacogenomic studies are needed to help improve the efficacy and safety of epilepsy treatment in the future.

PMID:36345310 | PMC:PMC9636542 | DOI:10.1016/j.ebr.2022.100568

Pediatr Neonatol. 2022 Oct 25:S1875-9572(22)00224-8. doi: 10.1016/j.pedneo.2022.07.012. Online ahead of print.

ABSTRACT

BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused the global coronavirus disease 2019 (COVID-19) pandemic. Rapid identification and isolation of patients infected with SARS-CoV-2 are critical methods for blocking COVID-19 transmission. The advantages of antigen tests, such as their relatively low cost and short turnaround time, can contribute to the prompt identification of infectious individuals. However, the diagnostic accuracy of antigen tests for COVID-19 in children remains inconclusive. This meta-analysis aimed to evaluate the diagnostic performance of antigen tests for SARS-CoV-2 in the pediatric population.

METHODS: We conducted a literature search for relevant studies in the PubMed, Embase, Google Scholar, and Biomed Central databases. Studies evaluating the diagnostic accuracy of antigen tests for SARS-CoV-2 in pediatric patients were included. In addition, we included studies that provided sufficient data to construct a 2 × 2 table on a per-patient basis. The final literature search was performed on October 10, 2021. Days after symptom onset, asymptomatic and symptomatic individuals may have been potential sources of heterogeneity. The overall sensitivity and specificity of the antigen tests were generated using a bivariate random-effects model.

RESULTS: Five studies with 4400 participants were included. The meta-analysis of antigen tests generated a pooled sensitivity of 65.9% (95% CI: 52.8%-77.0%) and pooled specificity of 99.9% (95% CI: 98.9%-100.0%). A subgroup analysis of studies reporting antigen test data for symptomatic patients showed a pooled sensitivity of 64.5% and a pooled specificity of 99.7%. The subgroup analysis of studies that included 881 asymptomatic participants generated a pooled sensitivity of 48.4% and a pooled specificity of 99.5%.

CONCLUSION: Antigen tests exhibit moderate sensitivity and high specificity for detecting SARS-CoV-2 in children. Antigen tests might have moderate sensitivity for detecting SARS-CoV-2 in symptomatic children, and serial testing might effectively prevent further SARS-CoV-2 transmission.

PMID:36344413 | DOI:10.1016/j.pedneo.2022.07.012

Cancer Lett. 2022 Nov 4:215994. doi: 10.1016/j.canlet.2022.215994. Online ahead of print.

ABSTRACT

The androgen inactivating UGT2B28 pathway emerges as a predictor of progression in prostate cancer (PCa). However, the clinical significance of UGT2B28 tumoral expression and its contribution to PCa progression remain unclear. Using the Canadian Prostate Cancer Biomarker Network biobank (CPCBN; n = 1512), we analyzed UGT2B28 tumor expression in relation to clinical outcomes in men with localized PCa. UGT2B28 was overexpressed in tumors compared to paired normal adjacent prostatic tissue and was associated with inferior outcomes. Functional analyses indicated that UGT2B28 promoted cell proliferation, and its expression was regulated by the androgen receptor (AR)/ARv7. Mechanistically, UGT2B28 was shown to be a protein partner of the endocytic adaptor protein huntingtin-interacting protein 1 (HIP1), increasing its stability and priming AR/epidermal growth factor receptor (EGFR) pathways, leading to ERK1/2 activation triggering cell proliferation and epithelial-to-mesenchymal transition (EMT). HIP1 knockdown in UGT2B28 positive cells, and dual pharmacological targeting of AR and EGFR pathways, abolished cell proliferative advantages conferred by UGT2B28. In conclusion, UGT2B28 is a prognosticator of progression in localized PCa, regulates both AR and EGFR oncogenic signaling pathways via HIP1, and therefore can be therapeutically targeted by using combination of existing AR/EGFR inhibitors.

PMID:36343786 | DOI:10.1016/j.canlet.2022.215994

J Cardiovasc Aging. 2022 Oct;2(4):45. doi: 10.20517/jca.2022.36. Epub 2022 Sep 13.

NO ABSTRACT

PMID:36340925 | PMC:PMC9624469 | DOI:10.20517/jca.2022.36