Oxid Med Cell Longev. 2021 Jun 27;2021:5900422. doi: 10.1155/2021/5900422. eCollection 2021.

ABSTRACT

The genus Peganum includes four species widely distributed in warm temperate to subtropical regions from the Mediterranean to Mongolia as well as certain regions in America. Among these species, Peganum harmala L., distributed from the Mediterranean region to Central Asia, has been studied and its phytochemical profile, traditional folk use, and application in pharmacological and clinical trials are well known. The review is aimed at presenting an insight into the botanical features and geographical distribution of Peganum spp. along with traditional folk uses. This manuscript also reviews the phytochemical profile of Peganum spp. and its correlation with biological activities evidenced by the in vitro and in vivo investigations. Moreover, this review gives us an understanding of the bioactive compounds from Peganum as health promoters followed by the safety and adverse effects on human health. In relation to their multipurpose therapeutic properties, various parts of this plant such as seeds, bark, and roots present bioactive compounds promoting health benefits. An updated search (until December 2020) was carried out in databases such as PubMed and ScienceDirect. Chemical studies have presented beta-carboline alkaloids as the most active constituents, with harmalol, harmaline, and harmine being the latest and most studied among these naturally occurring alkaloids. The Peganum spp. extracts have shown neuroprotective, anticancer, antimicrobial, and antiviral effects. The extracts are also found effective in improving respiratory disorders (asthma and cough conditions), dermatoses, and knee osteoarthritis. Bioactivities and health-enhancing effects of Peganum spp. make it a potential candidate for the formulation of functional foods and pharmaceutical drugs. Nevertheless, adverse effects of this plant have also been described, and therefore new bioproducts need to be studied in depth. In fact, the design of new formulations and nanoformulations to control the release of active compounds will be necessary to achieve successful pharmacological and therapeutic treatments.

PMID:34257813 | PMC:PMC8260309 | DOI:10.1155/2021/5900422

Genet Med. 2021 Jul 13. doi: 10.1038/s41436-021-01230-w. Online ahead of print.

ABSTRACT

PURPOSE: Genomic medicine holds great promise for improving health care, but integrating searchable and actionable genetic data into electronic health records (EHRs) remains a challenge. Here we describe Neptune, a system for managing the interaction between a clinical laboratory and an EHR system during the clinical reporting process.

METHODS: We developed Neptune and applied it to two clinical sequencing projects that required report customization, variant reanalysis, and EHR integration.

RESULTS: Neptune has been applied for the generation and delivery of over 15,000 clinical genomic reports. This work spans two clinical tests based on targeted gene panels that contain 68 and 153 genes respectively. These projects demanded customizable clinical reports that contained a variety of genetic data types including single-nucleotide variants (SNVs), copy-number variants (CNVs), pharmacogenomics, and polygenic risk scores. Two variant reanalysis activities were also supported, highlighting this important workflow.

CONCLUSION: Methods are needed for delivering structured genetic data to EHRs. This need extends beyond developing data formats to providing infrastructure that manages the reporting process itself. Neptune was successfully applied on two high-throughput clinical sequencing projects to build and deliver clinical reports to EHR systems. The software is open source and available at https://gitlab.com/bcm-hgsc/neptune .

PMID:34257418 | DOI:10.1038/s41436-021-01230-w

Clin Pharmacol Ther. 2021 Jul 13. doi: 10.1002/cpt.2363. Online ahead of print.

ABSTRACT

The African American (AA) population displays a 1.6 to 3-fold higher incidence of thrombosis and stroke mortality compared to European Americans (EA). Current anti-platelet therapies target the ADP-mediated signaling pathway, which displays significant pharmacogenetic variation for platelet reactivity. The focus of this study was to define underlying population differences in platelet function in an effort to identify novel molecular targets for future anti-platelet therapy. We performed deep coverage RNA-Seq to compare gene expression levels in platelets derived from a cohort of healthy volunteers defined by ancestry determination. We identified >13,000 expressed platelet genes of which 480 were significantly differentially expressed genes (DEGs) between AAs and EAs. DEGs encoding proteins known or predicted to modulate platelet aggregation, morphology or platelet count were up-regulated in AA platelets. Numerous G-protein coupled receptors (GPCRs), ion channels, and pro-inflammatory cytokines not previously associated with platelet function were likewise differentially expressed. Many of the signaling proteins represent potential pharmacologic targets of intervention. Notably, we confirmed the differential expression of cytokines IL32 and PROK2 in an independent cohort by qRT-PCR, and provide functional validation of the opposing actions of these two cytokines on collagen-induced AA platelet aggregation. Using GTEx whole blood data, we identified 516 eQTLs with Fst values >0.25, suggesting that population-differentiated alleles may contribute to differences in gene expression. This study identifies gene expression differences at the population level that may affect platelet function and serve as potential biomarkers to identify CVD risk. Additionally, our analysis uncovers candidate novel druggable targets for future anti-platelet therapies.

PMID:34255863 | DOI:10.1002/cpt.2363

JMIR Med Inform. 2021 Jul 12;9(7):e27980. doi: 10.2196/27980.

ABSTRACT

BACKGROUND: Participation in quality controls, also called external quality assessment (EQA) schemes, is required for the ISO15189 accreditation of the Medical Centers of Human Genetics. However, directives on the minimal frequency of participation in genetic quality control schemes are lacking or too heterogeneous, with a possible impact on health care quality.

OBJECTIVE: The aim of this project is to develop Belgian guidelines on the frequency of participation in quality controls for genetic testing in the context of rare diseases.

METHODS: A group of experts analyzed 90 EQA schemes offered by accredited providers and focused on analyses used for the diagnosis of rare diseases. On that basis, the experts developed practical recommendations about the minimal frequencies of participation of the Medical Centers of Human Genetics in quality controls and how to deal with poor performances and change management. These guidelines were submitted to the Belgian Accreditation Body and then reviewed and approved by the Belgian College of Human Genetics and Rare Diseases and by the National Institute for Health and Disability Insurance.

RESULTS: The guidelines offer a decisional algorithm for the minimal frequency of participation in human genetics EQA schemes. This algorithm has been developed taking into account the scopes of the EQA schemes, the levels of experience, and the annual volumes of the Centers of Human Genetics in the performance of the tests considered. They include three key principles: (1) the recommended annual assessment of all genetic techniques and technological platforms, if possible through EQAs covering the technique, genotyping, and clinical interpretation; (2) the triennial assessment of the genotyping and interpretation of specific germline mutations and pharmacogenomics analyses; and (3) the documentation of actions undertaken in the case of poor performances and the participation to quality control the following year. The use of a Bayesian statistical model has been proposed to help the Centers of Human Genetics to determine the theoretical number of tests that should be annually performed to achieve a certain threshold of performance (eg, a maximal error rate of 1%). Besides, the guidelines insist on the role and responsibility of the national public health authorities in the follow-up of the quality of analyses performed by the Medical Centers of Human Genetics and in demonstrating the cost-effectiveness and rationalization of participation frequency in these quality controls.

CONCLUSIONS: These guidelines have been developed based on the analysis of a large panel of EQA schemes and data collected from the Belgian Medical Centers of Human Genetics. They are applicable to other countries and will facilitate and improve the quality management and financing systems of the Medical Centers of Human Genetics.

PMID:34255700 | DOI:10.2196/27980

EMBO Mol Med. 2021 Jul 13:e13189. doi: 10.15252/emmm.202013189. Online ahead of print.

ABSTRACT

Advances in sequencing technology have enabled the genomic and transcriptomic characterization of human malignancies with unprecedented detail. However, this wealth of information has been slow to translate into clinically meaningful outcomes. Different models to study human cancers have been established and extensively characterized. Using these models, functional genomic screens and pre-clinical drug screening platforms have identified genetic dependencies that can be exploited with drug therapy. These genetic dependencies can also be used as biomarkers to predict response to treatment. For many cancers, the identification of such biomarkers remains elusive. In this review, we discuss the development and characterization of models used to study human cancers, RNA interference and CRISPR screens to identify genetic dependencies, large-scale pharmacogenomics studies and drug screening approaches to improve pre-clinical drug screening and biomarker discovery.

PMID:34254730 | DOI:10.15252/emmm.202013189

Clin Pharmacol Ther. 2021 Jul 13. doi: 10.1002/cpt.2328. Online ahead of print.

NO ABSTRACT

PMID:34254671 | DOI:10.1002/cpt.2328

Sci Rep. 2021 Jul 12;11(1):14271. doi: 10.1038/s41598-021-93591-0.

ABSTRACT

Inhibitory G proteins (Gi proteins) are highly homologous but play distinct biological roles. However, their isoform-specific detection remains challenging. To facilitate the analysis of Gαi3 expression, we generated a Gnai3- iresGFP reporter mouse line. An internal ribosomal entry site (IRES) was inserted behind the stop-codon of the Gnai3 gene to initiate simultaneous translation of the GFP cDNA together with Gαi3. The expression of GFP was confirmed in spleen and thymus tissue by immunoblot analysis. Importantly, the GFP knock-in (ki) did not alter Gαi3 expression levels in all organs tested including spleen and thymus compared to wild-type littermates. Flow cytometry of thymocytes, splenic and blood cell suspensions revealed significantly higher GFP fluorescence intensities in homozygous ki/ki animals compared to heterozygous mice (+/ki). Using cell-type specific surface markers GFP fluorescence was assigned to B cells, T cells, macrophages and granulocytes from both splenic and blood cells and additionally blood-derived platelets. Moreover, immunofluorescent staining of the inner ear from knock-in mice unraveled GFP expression in sensory and non-sensory cell types, with highest levels in Deiter's cells and in the first row of Hensen's cells in the organ of Corti, indicating a novel site for Gαi3 expression. In summary, the Gnai3- iresGFP reporter mouse represents an ideal tool for precise analyses of Gαi3 expression patterns and sites.

PMID:34253772 | DOI:10.1038/s41598-021-93591-0

J Heart Lung Transplant. 2021 Jun 12:S1053-2498(21)02342-1. doi: 10.1016/j.healun.2021.05.020. Online ahead of print.

ABSTRACT

BACKGROUND: The objective was to assess the relationship between single nucleotide polymorphisms in mycophenolate and cytomegalovirus antiviral drug pharmacokinetic and pharmacodynamic genes and drug-induced leukopenia in adult heart transplant recipients.

METHODS: This retrospective analysis included n = 148 patients receiving mycophenolate and a cytomegalovirus antiviral drug. In total, 81 single nucleotide polymorphisms in 21 pharmacokinetic and 23 pharmacodynamic genes were selected for investigation. The primary and secondary outcomes were mycophenolate and/or cytomegalovirus antiviral drug-induced leukopenia, defined as a white blood cell count <3.0 × 109/L, in the first six and 12 months post-heart transplant, respectively.

RESULTS: Mycophenolate and/or cytomegalovirus antiviral drug-induced leukopenia occurred in 20.3% of patients. HNF1A rs1169288 A>C (p.I27L) was associated with drug-induced leukopenia (unadjusted p = 0.002; false discovery rate <20%) in the first six months post-transplant. After adjusting for covariates, HNF1A rs1169288 variant C allele carriers had significantly higher odds of leukopenia compared to A/A homozygotes (odds ratio 6.19; 95% CI 1.97-19.43; p = 0.002). Single nucleotide polymorphisms in HNF1A, SLC13A1, and MBOAT1 were suggestively associated (p < 0.05) with the secondary outcome but were not significant after adjusting for multiple comparisons.

CONCLUSION: Our data suggest genetic variation may play a role in the development of leukopenia in patients receiving mycophenolate and cytomegalovirus antiviral drugs after heart transplantation. Following replication, pharmacogenetic markers, such as HNF1A rs1169288, could help identify patients at higher risk of drug-induced leukopenia, allowing for more personalized immunosuppressant therapy and cytomegalovirus prophylaxis following heart transplantation.

PMID:34253456 | DOI:10.1016/j.healun.2021.05.020

PLoS One. 2021 Jul 12;16(7):e0254562. doi: 10.1371/journal.pone.0254562. eCollection 2021.

ABSTRACT

Aberrant DNA methylation profiles have been implicated in numerous cardiovascular diseases; however, few studies have investigated how these epigenetic modifications contribute to stroke recurrence. The aim of this study was to identify methylation loci associated with the time to recurrent cerebro- and cardiovascular events in individuals of European and African descent. DNA methylation profiles were generated for 180 individuals from the Vitamin Intervention for Stroke Prevention clinical trial using Illumina HumanMethylation 450K BeadChip microarrays, resulting in beta values for 470,871 autosomal CpG sites. Ethnicity-stratified survival analyses were performed using Cox Proportional Hazards regression models for associations between each methylation locus and the time to recurrent stroke or composite vascular event. Results were validated in the Vall d'Hebron University Hospital cohort from Barcelona, Spain. Network analyses of the methylation loci were generated using weighted gene coexpression network analysis. Primary analysis identified four significant loci, cg04059318, ch.2.81927627R, cg03584380, and cg24875416, associated with time to recurrent stroke. Secondary analysis identified three loci, cg00076998, cg16758041, and cg02365967, associated with time to composite vascular endpoint. Locus cg03584380, which is located in an intron of ZDHHC6, was replicated in the Vall d'Hebron University Hospital cohort. The results from this study implicate the degree of methylation at cg03584380 is associated with the time of recurrence for stroke or composite vascular events across two ethnically diverse groups. Furthermore, modules of loci were associated with clinical traits and blood biomarkers including previous number of strokes, prothrombin fragments 1 + 2, thrombomodulin, thrombin-antithrombin complex, triglyceride levels, and tissue plasminogen activator. Ultimately, these loci could serve as potential epigenetic biomarkers that could identify at-risk individuals in recurrence-prone populations.

PMID:34252155 | DOI:10.1371/journal.pone.0254562

Pharmacogenomics. 2021 Jul 12. doi: 10.2217/pgs-2021-0078. Online ahead of print.

NO ABSTRACT

PMID:34251288 | DOI:10.2217/pgs-2021-0078

Br J Clin Pharmacol. 2021 Jul 12. doi: 10.1111/bcp.14983. Online ahead of print.

ABSTRACT

Pharmacogenomics is increasingly moving into mainstream clinical practice. Careful consideration must be paid to inclusion of diverse populations in research, translation, and implementation, in the historical and social context of population stratification, to ensure that this leads to improvements in healthcare for all rather than increased health disparities. This review takes a broad and critical approach to the current role of diversity in pharmacogenomics and addresses potential pitfalls in order to raise awareness for prescribers. It also emphasizes evidence gaps and suggests approaches which may minimize negative consequences and promote health equality.

PMID:34251046 | DOI:10.1111/bcp.14983

Ther Drug Monit. 2021 Aug 1;43(4):527-535. doi: 10.1097/FTD.0000000000000880.

ABSTRACT

BACKGROUND: The clinical utility of warfarin dose prediction algorithms remains controversial, our purpose is to evaluate the performance of warfarin dose prediction algorithms and the effects of clinical factors on warfarin dose in Chinese patients.

METHODS: Clinical data of 217 patients who received warfarin treatment were used to assess 6 warfarin dose prediction algorithms (OHNO, IWPC [International Warfarin Pharmacogenetics Consortium], HUANG, KIM, BRESS, and MIAO). The predicted dose (PD) was compared with the warfarin optimal dose (WOD, defined as the dose that maintains the international normalized ratio within the target range of 2.0-3.0). A multiple regression analysis with WOD as the dependent variable was performed to evaluate the effects of clinical factors on warfarin dose.

RESULTS: The mean absolute error analysis ranked the predictive accuracies of the algorithms as OHNO > IWPC > HUANG > KIM > BRESS > MIAO. Stratified analysis indicated that HUANG most accurately predicted that patients required lower WODs (≤3 mg/d), whereas OHNO was the most effective in predicting medium WODs (3-5 mg/d). KIM was effective in predicting high WODs (>5 mg/d). Multiple linear regression analysis showed that VKORC1 (rs9923231) and body mass index were significantly positively correlated with WOD, whereas concurrent atrial fibrillation status, CYP2C9*3 (rs1057910), and sex were significantly negatively correlated with WOD.

CONCLUSIONS: In Chinese patients, OHNO should be given priority during the prediction and selection of warfarin dose. When using OHNO to predict warfarin dose (≤3 mg/d or >5 mg/d), HUANG or KIM algorithms can provide precise predictions. At the same time, physicians should pay close attention to clinical factors, such as VKORC1 (rs9923231), concurrent atrial fibrillation status, CYP2C9*3 (rs1057910), body mass index, and sex, to improve warfarin dose adjustment strategies in Chinese patients.

PMID:34250965 | DOI:10.1097/FTD.0000000000000880

Pol J Vet Sci. 2021 Jun;24(2):271-279. doi: 10.24425/pjvs.2021.137662.

ABSTRACT

The etiology of Postpartum dysgalactia syndrome (PDS) includes stress οn preparturition and constipation associated with low water intake or low fiber intake. The aim of this study was to investigate the effects of a raw crude fibre concentrate (Arbocel®) on sow's metabolism and performance. 100 sows from a farm suffering from PDS, were divided into two groups, with equal distribu- tion of their parity (1 to 5 parity): a) T1 group (control group): 50 sows were fed with regular gestation feed (GF), pre-farrowing feed (PFF), and lactation feed (LF), b) T2 group: 50 sows were fed with regular GF, PFF and LF supplemented with topdress Arbocel® from 104th day of gestation until 7th day of lactation). Health parameters [faeces score (FS), PDS score (PDSS), body condition score (BCS)], performance parameters and liter characteristics were recorded. Blood samples were collected from 25 sows / group (5 sows per parity) 24 h after birth of last piglet and on 14th day of lactation for the evaluation of insulin, leptin and ghrelin levels in the serum, using commercial ELISA kits. In T2 group, BCS at farrowing (p⟨0.001), FS (p=0.001) and PDSS (p=0.003) were improved significantly. The number of piglets stillborn and dead due to crushing decreased (p=0.001), while the number of liveborn (p=0.016) and weaned piglets (p=0.001) increased in T2 group. Moreover, in T2 group, the BW of piglets at weaning was higher (p⟨0.001). A significant increase of insulin (p=0.032) and leptin (p=0.032) levels in serum was noticed in T2 group 24 h after farrowing. In conclusion, the supplementation of extra crude fibre in breeding stock with PDS problems due to nutritional imbalance has beneficial effects on their health and performance.

PMID:34250787 | DOI:10.24425/pjvs.2021.137662

Front Pediatr. 2021 Jun 25;9:673294. doi: 10.3389/fped.2021.673294. eCollection 2021.

ABSTRACT

Kawasaki disease (KD) is a common febrile multisystemic inflammatory illness in children that preferentially affects coronary arteries. Children with KD who develop coronary artery aneurysms have a life-long risk of premature coronary artery disease. Hypothesis of inherent predisposition to KD is supported by epidemiological evidence that suggests increased risk of development of disease in certain ethnicities and in children with a previous history of KD in siblings or parents. However, occurrence of cases in clusters, seasonal variation, and very low risk of recurrence suggests an acquired trigger (such as infections) for the development of illness. Epigenetic mechanisms that modulate gene expression can plausibly explain the link between genetic and acquired predisposing factors in KD. Analysis of epigenetic factors can also be used to derive biomarkers for diagnosis and prognostication in KD. Moreover, epigenetic mechanisms can also help in pharmacogenomics with the development of targeted therapies. In this review, we analysed the available literature on epigenetic factors such as methylation, micro-RNAs, and long non-coding RNAs in KD and discuss how these mechanisms can help us better understand the disease pathogenesis and advance the development of new biomarkers in KD.

PMID:34249810 | PMC:PMC8266996 | DOI:10.3389/fped.2021.673294

Front Oncol. 2021 Jun 23;11:620924. doi: 10.3389/fonc.2021.620924. eCollection 2021.

ABSTRACT

BACKGROUND: Brain metastasis is extremely rare but predicts dismal prognosis in papillary thyroid cancer (PTC). Dynamic evaluation of stepwise metastatic lesions was barely conducted to identify the longitudinal genomic evolution of brain metastasis in PTC.

METHOD: Chronologically resected specimen was analyzed by whole exome sequencing, including four metastatic lymph nodes (lyn 1-4) and brain metastasis lesion (BM). Phylogenetic tree was reconstructed to infer the metastatic pattern and the potential functional mutations.

RESULTS: Contrasting with lyn1, ipsilateral metastatic lesions (lyn2-4 and BM) with shared biallelic mutations of TSC2 indicated different genetic originations from multifocal tumors. Lyn 3/4, particularly lyn4 exhibited high genetic similarity with BM. Besides the similar mutational compositions and signatures, shared functional mutations (CDK4 R24C , TP53R342*) were observed in lyn3/4 and BM. Frequencies of these mutations gradually increase along with the metastasis progression. Consistently, TP53 knockout and CDK4 R24C introduction in PTC cells significantly decreased radioiodine uptake and increased metastatic ability.

CONCLUSION: Genomic mutations in CDK4 and TP53 during the tumor evolution may contribute to the lymph node and brain metastasis of PTC.

PMID:34249677 | PMC:PMC8260944 | DOI:10.3389/fonc.2021.620924

Front Genet. 2021 Jun 23;12:652878. doi: 10.3389/fgene.2021.652878. eCollection 2021.

ABSTRACT

AIMS: Atrial fibrillation (AF) is a risk for patients receiving thyroid hormone replacement therapy. No published work has focused on pharmacogenetics relevant to thyroid dysfunction and AF risk. We aimed to assess the effect of L-thyroxine on AF risk stratified by a variation in a candidate gene.

METHODS AND RESULTS: A retrospective follow-up study was done among European Caucasian patients from the Genetics of Diabetes Audit and Research in Tayside Scotland cohort (Scotland, United Kingdom). Linked data on biochemistry, prescribing, hospital admissions, demographics, and genetic biobank were used to ascertain patients on L-thyroxine and diagnosis of AF. A GWAS-identified insulin receptor-INSR locus (rs4804416) was the candidate gene. Cox survival models and sensitivity analyses by taking competing risk of death into account were used. Replication was performed in additional sample (The Genetics of Scottish Health Research register, GoSHARE), and meta-analyses across the results of the study and replication cohorts were done. We analyzed 962 exposed to L-thyroxine and 5,840 unexposed patients who were rs4804416 genotyped. The rarer G/G genotype was present in 18% of the study population. The total follow-up was up to 20 years, and there was a significant increased AF risk for patients homozygous carriers of the G allele exposed to L-thyroxine (RHR = 2.35, P = 1.6e-02). The adjusted increased risk was highest within the first 3 years of exposure (RHR = 9.10, P = 8.5e-04). Sensitivity analysis yielded similar results. Effects were replicated in GoSHARE (n = 3,190).

CONCLUSION: Homozygous G/G genotype at the INSR locus (rs4804416) is associated with an increased risk of AF in patients on L-thyroxine, independent of serum of free thyroxine and thyroid-stimulating hormone serum concentrations.

PMID:34249083 | PMC:PMC8260687 | DOI:10.3389/fgene.2021.652878

Front Genet. 2021 Jun 25;12:647257. doi: 10.3389/fgene.2021.647257. eCollection 2021.

ABSTRACT

Non-steroidal anti-inflammatory drugs (NSAIDs) are extensively prescribed in daily clinical practice. NSAIDs are the main cause of drug hypersensitivity reactions all over the world. The inhibition of cyclooxygenase enzymes by NSAIDs can perpetuate arachidonic acid metabolism, shunting to the 5-lipoxygenase pathway and its downstream inflammatory process. Clinical phenotypes of NSAID hypersensitivity are diverse and can be classified into cross-reactive or selective responses. Efforts have been made to understand pathogenic mechanisms, in which, genetic and epigenetic backgrounds are implicated in various processes of NSAID-induced hypersensitivity reactions. Although there were some similarities among patients, several genetic polymorphisms are distinct in those exhibiting respiratory or cutaneous symptoms. Moreover, the expression levels, as well as the methylation status of genes related to immune responses were demonstrated to be involved in NSAID-induced hypersensitivity reactions. There is still a lack of data on delayed type reactions. Further studies with a larger sample size, which integrate different genetic pathways, can help overcome current limitations of gen etic/epigenetic studies, and provide valuable information on NSAID hypersensitivity reactions.

PMID:34249079 | PMC:PMC8269449 | DOI:10.3389/fgene.2021.647257

Neuroimage. 2021 Jul 8:118378. doi: 10.1016/j.neuroimage.2021.118378. Online ahead of print.

ABSTRACT

Humans are highly attuned to patterns in the environment. This ability to detect environmental patterns, referred to as statistical learning, plays a key role in many diverse aspects of cognition. However, the spatiotemporal neural mechanisms underlying implicit statistical learning, and how these mechanisms may relate or give rise to explicit learning, remain poorly understood. In the present study, we investigated these different aspects of statistical learning by using an auditory nonlinguistic statistical learning paradigm combined with magnetoencephalography. Twenty-four healthy volunteers were exposed to structured and random tone sequences, and statistical learning was quantified by neural entrainment. Already early during exposure, participants showed strong entrainment to the embedded tone patterns. A significant increase in entrainment over exposure was detected only in the structured condition, reflecting the trajectory of learning. While source reconstruction revealed a wide range of brain areas involved in this process, entrainment in areas around the left pre-central gyrus as well as right temporo-frontal areas significantly predicted behavioral performance. Sensor level results confirmed this relationship between neural entrainment and subsequent explicit knowledge. These results give insights into the dynamic relation between neural entrainment and explicit learning of triplet structures, suggesting that these two aspects are systematically related yet dissociable. Neural entrainment reflects robust, implicit learning of underlying patterns, whereas the emergence of explicit knowledge, likely built on the implicit encoding of structure, varies across individuals and may depend on factors such as sufficient exposure time and attention.

PMID:34246769 | DOI:10.1016/j.neuroimage.2021.118378

Am J Hum Genet. 2021 Jul 10:S0002-9297(21)00241-X. doi: 10.1016/j.ajhg.2021.06.017. Online ahead of print.

ABSTRACT

Wheat-dependent exercise-induced anaphylaxis (WDEIA) is a life-threatening food allergy triggered by wheat in combination with the second factor such as exercise. The identification of potential genetic risk factors for this allergy might help high-risk individuals before consuming wheat-containing food. We aimed to identify genetic variants associated with WDEIA. A genome-wide association study was conducted in a discovery set of 77 individuals with WDEIA and 924 control subjects via three genetic models. The associations were confirmed in a replication set of 91 affected individuals and 435 control individuals. Summary statistics from the combined set were analyzed by meta-analysis with a random-effect model. In the discovery set, a locus on chromosome 6, rs9277630, was associated with WDEIA in the dominant model (OR = 3.95 [95% CI, 2.31-6.73], p = 7.87 × 10-8). The HLA-DPB1∗02:01:02 allele displayed the most significant association with WDEIA (OR = 4.51 [95% CI, 2.66-7.63], p = 2.28 × 10-9), as determined via HLA imputation following targeted sequencing. The association of the allele with WDEIA was confirmed in replication samples (OR = 3.82 [95% CI, 2.33-6.26], p = 3.03 × 10-8). A meta-analysis performed in the combined set revealed that the HLA-DPB1∗02:01:02 allele was significantly associated with an increased risk of WDEIA (OR = 4.13 [95% CI, 2.89-5.93], p = 1.06 × 10-14). Individuals carrying the HLA-DPB1∗02:01:02 allele have a significantly increased risk of WDEIA. Further validation of these findings in independent multiethnic cohorts is needed.

PMID:34246321 | DOI:10.1016/j.ajhg.2021.06.017

Drug Metab Pers Ther. 2021 Jul 12. doi: 10.1515/dmdi-2021-0112. Online ahead of print.

ABSTRACT

OBJECTIVES: One of the key components of ERAS is adequate pain control in the postoperative period. There are no rational schemes for postoperative pain relief. At the same time, adequate postoperative pain relief promotes early activation and early rehabilitation of patients and shortens the duration of the postoperative stay, and does not cause postoperative complications associated with analgesia (weakness, intestinal paresis, nausea and vomiting). The aims of the present study are to assess the possible association of CYP2D6 and CYP2C9 polymorphisms with the efficacy and safety of tramadol and ketorolac in postoperative pain.

METHODS: A total of 107 patients were genotyped for CYP2D6 and CYP2C9 polymorphisms. All patients underwent laparoscopic cholecystectomy. Postoperative pain relief was carried out with ketorolac and tramadol. Postoperative pain syndrome was assessed using a visual analogue scale and McGill pain questionnaire. The profile of side effects was assessed by the dynamics of red blood counts as a possible trigger for the development of gastrointestinal bleeding according to the method of global assessment of triggers.

RESULTS: Pain was statistically significantly lower in CYP2C9*2 carriers, according to visual analogue scale (VAS): after 12 h - by 1.5 (p=0.002); after 24 h - by 1.1 (p=0.012); after 36 h - by 1.05 (p=0.004); after 48 h - by 0.7 (p=0.026). In CYP2C9*3 carriers the results were not statistically significant. In carriers of CYP2D6*4 pain syndromes were higher at all-time intervals, but statistically reliable results were obtained only after 2 h - by 1.01 (p=0.054) and after 24 h - by 0.8 (p=0.035). The profile of adverse reactions for NSAIDs was evaluated by the dynamics of hemoglobin and erythrocyte indices. A more pronounced decrease in the relative difference in hemoglobin levels was noted in CYP2C9*2 and CYP2C9*3 polymorphism carriers - by 1.7 (p=0.00268) and-by 2.2 (p=0.000143), respectively.

CONCLUSIONS: CYP2D6 and CYP2C9 can predict analgesic effectiveness of tramadol and ketorolac. CYP2C9 can predict the risk of gastrointestinal bleeding, including those hidden to ketorolac.

PMID:34246203 | DOI:10.1515/dmdi-2021-0112