Search

Purpose: To investigate the causality between periodontitis and non-alcoholic fatty liver disease (NAFLD) using a two-sample bidirectional Mendelian randomisation (MR) analysis. Materials and Methods: Genetic variations in periodontitis and NAFLD were acquired from genome-wide association studies (GWAS) using the Gene-Lifestyle Interaction in Dental Endpoints, a large-scale meta-analysis, and FinnGen consortia. Data from the first two databases were used to explore the causal relationship between periodontitis and NAFLD (“discovery stage”), and the data from FinnGen was used to validate our results (“validation stage”). We initially performed MR analysis using 5 single nucleotide polymorphisms (SNPs) in the discovery samples and 18 in the replicate samples as genetic instruments for periodontitis to investigate the causative impact of periodontitis on NAFLD. We then conducted a reverse MR analysis using 6 SNPs in the discovery samples and 4 in the replicate samples as genetic instruments for NAFLD to assess the causative impact of NAFLD on periodontitis. We further implemented heterogeneity and sensitivity analyses to assess the reliability of the MR results. Results: Periodontitis was not causally related to NAFLD (odds ratio [OR] = 1.036, 95% CI: 0.914–1.175, p = 0.578 in the discovery stage; OR = 1.070, 95% CI: 0.935–1.224, p = 0.327 in the validation stage), and NAFLD was not causally linked with periodontitis (OR = 1.059, 95% CI: 0.916–1.225, p = 0.439 in the discovery stage; OR = 0.993, 95% CI: 0.896–1.102, p = 0.901 in the validation stage). No heterogeneity was observed among the selected SNPs. Sensitivity analyses demonstrated the absence of pleiotropy and the reliability of our MR results. Conclusion: The present MR analysis showed no genetic evidence for a cause-and-effect relationship between periodontitis and NAFLD. Periodontitis may not directly influence the development of NAFLD and vice versa. [ABSTRACT FROM AUTHOR]

[This corrects the article DOI: 10.3389/fmicb.2023.1154664.].

Atrial fibrillation (AF), the most common arrhythmia, has been associated with different electrophysiological, molecular, and structural alterations in atrial cardiomyocytes. Therefore, more studies are required to elucidate the genetic and molecular basis of AF. Various genome-wide association studies (GWAS) have strongly associated different single nucleotide polymorphisms (SNPs) with AF. One of these GWAS identified the rs13376333 risk SNP as the most significant one from the 1q21 chromosomal region. The rs13376333 risk SNP is intronic to the KCNN3 gene that encodes for small conductance calcium-activated potassium channels type 3 (SK3). However, the functional electrophysiological effects of this variant are not known. SK channels represent a unique family of K+ channels, primarily regulated by cytosolic Ca2+ concentration, and different studies support their critical role in the regulation of atrial excitability and consequently in the development of arrhythmias like AF. Since different studies have shown that both upregulation and downregulation of SK3 channels can lead to arrhythmias by different mechanisms, an important goal is to elucidate whether the rs13376333 risk SNP is a gain-of-function (GoF) or a loss-of-function (LoF) variant. A better understanding of the functional consequences associated with these SNPs could influence clinical practice guidelines by improving genotype-based risk stratification and personalized treatment. Although research using native human atrial cardiomyocytes and animal models has provided useful insights, each model has its limitations. Therefore, there is a critical need to develop a human-derived model that represents human physiology more accurately than existing animal models. In this context, research with human induced pluripotent stem cells (hiPSC) and subsequent generation of cardiomyocytes derived from hiPSC (hiPSC-CMs) has revealed the underlying causes of various cardiovascular diseases and identified treatment opportunities that were not possible using in vitro or in vivo studies with animal models. Thus, the ability to generate atrial cardiomyocytes and atrial tissue derived from hiPSCs from human/patients with specific genetic diseases, incorporating novel genetic editing tools to generate isogenic controls and organelle-specific reporters, and 3D bioprinting of atrial tissue could be essential to study AF pathophysiological mechanisms. In this review, we will first give an overview of SK-channel function, its role in atrial fibrillation and outline pathophysiological mechanisms of KCNN3 risk SNPs. We will then highlight the advantages of using the hiPSC-CM model to investigate SNPs associated with AF, while addressing limitations and best practices for rigorous hiPSC studies.

Rs768705 (TMEM161B) is one of the identified single nucleotide polymorphisms related to major depressive disorder (MDD). Paranoid personality traits are independently associated with the risk of MDD. This study aimed to investigate the interaction effect between rs768705 (TMEM161B) and paranoid personality traits on the new-onset risk of MDD in Chinese freshmen. A longitudinal study was conducted among 7642 Chinese freshmen without lifetime MDD at baseline in 2018. 158 new-onset MDD cases were ascertained in 2019. DNA samples were extracted to detect the genotype of rs768705. The diagnostic and statistical manual of mental disorders-IV criteria were used to determine MDD and personality disorder traits. Multiplicative interaction was assessed by logistic regression models. Tomas Andersson's method for calculating biological interactions was used to estimate the additive interaction. Rs768705(AG) (OR = 1.88, 95 % CI: 1.24–2.83) and paranoid personality traits (OR = 3.68, 95 % CI: 2.57–5.26) were significantly associated with the risk of MDD. The multiplicative interaction model with the product term of rs768705 and paranoid personality trait traits had a significant interaction effect (OR = 4.20, 95 % CI:1.62–10.91). There was also a significant additive interaction effect (RR = 7.08, 95 % CI:4.31–11.65) for the incidence of MDD. Seventy seven percent patients among new MDD cases were attributed to the additive interaction effect between rs768705 and paranoid personality traits. Rs768705 (AG) may interact with paranoid personality traits to increase the incidence of MDD among Chinese college students. Schools and psychosocial health organizations should pay more attention to individuals with paranoid personality traits for MDD intervention and prevention. • This was a 1-year longitudinal study conducted among 7642 Chinese freshmen. • There was an addictive interaction effect between rs768705 (AG) and paranoid personality traits on occurrence of MDD. • 77% of new MDD patients were attributed to the interaction effect of rs768705 (AG) & paranoid personality traits. [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Unraveling the genetic intricacies and evolutionary history of Asian Hickories through advanced genome sequencing gives valuable insights into their ecological adaptations. Understanding the impact of historical dynamics, climate fluctuations, and geographical barriers on Asian hickories not only contributes to scientific knowledge but also empowers policymakers with evidence‐based decisions and guides conservationists in their efforts to protect vulnerable species. The identification of potential habitats, especially for the endangered Carya kweichowensis, offers a promising avenue for targeted conservation efforts, aligning with global initiatives to preserve Earth's precious biodiversity, but also ensures the conservation of a vital genetic reservoir for nut‐bearing economic tree species. Summary: Biogeographic characteristics of disjunct distribution play a vital role in plant geography and the endangered mechanism. The whole genome resequencing provides an opportunity to study the genetic relationship, population diffusion, and floristic evolution of disjunctive‐distribution flora. Based on the SNPs (single nucleotide polymorphisms) data generated by the whole genome deep resequencing of five EA (Eastern Asian) Carya species, we constructed the phylogenetic tree, genetic structure, and species distribution modeling to clarify the phylogenetic relationships and to predict the potential distribution area of EA Carya. Phylogenetic analysis of Carya revealed two distinct clades, separating EA Carya from NA (North America) Carya. C. kweichowensis, an endangered species, showed the lowest nucleotide diversity and the earliest divergence among studied EA Carya species. Species distribution modeling predicted suitable habitats for five EA Carya species, revealing the potential distribution of endangered C. kweichowensis. Importantly, minimal spatial overlap was observed among distribution regions of EA Carya species during different time periods. The uneven regional distribution of EA Carya is believed to be a consequence of Quaternary climate fluctuations, mountain barriers hindering species dispersal, and the limited cold tolerance of these trees. EA Carya highlights the significant role of climate and geological changes in their regional distribution and migration routes in Asia. Furthermore, the discovery of potential habitats offers a promising avenue for the conservation of C. kweichowensis. [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Table grape production is a traditional practice in southeastern Spain, where locals have produced fresh grapes and raisins for centuries. Many of these vines are now centenary, and they represent a useful source of diversity for developing future table grape varieties with improved traits. Genetic analysis showed that many of the local varieties identified in this study were traditional varieties from Western Mediterranean countries. Others were not identified, and they might be old grape varieties of previous importance in the region. The conservation and characterization of these varieties could be key to ensuring current and future vineyard sustainability. Summary: Current worldwide table grape production focuses on a reduced number of Vitis vinifera L. varieties. However, traditional farmers have grown many table grape varieties for centuries, as they provided a steady source of fresh fruit and raisins. These ancient living genotypes potentially store a genetic diversity that can be used now to ensure future grape production.Here we focused on the study of grapevines found across Almería, one of the Spanish regions with longer tradition in table grape production. After an exhaustive inspection, we located 220 old (some centenary) vines producing grapes consumed by owners or in abandoned areas no longer devoted to agriculture.Some of these vines were identified by comparing their simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) genetic profiles with available data from international databases. We found that, while grape growers' efforts focused on the cultivation of traditional grape varieties from Western Mediterranean regions, they also cultivated few exogenous varieties if they provided additional fruit features. Other vines were found to have genetic profiles that did not match reference datasets. Interestingly, some of them were found in multiple locations, suggesting they are endangered varieties with some previous relevance in the region. Besides, first‐degree relationships support the autochthonous origin of many of these unidentified genotypes.Locals kept a high number of different grapevine varieties, now considered reservoirs of genetic diversity. Traditional farming practices have been useful to prevent the loss of this diversity, which now needs to be preserved and further studied to contribute to the sustainability of viticultural systems. [ABSTRACT FROM AUTHOR]

Social Impact Statement: For hundreds of years, Agave marmorata plants have been used in the production of alcoholic beverages in Mexico. This species is very important in small‐scale rural economies because it is a large plant, yielding five liters of mezcal. However, the production of these beverages takes place when it reaches its reproductive stage, which takes up to 35 years. Due to its slow maturation and high demand, it is considered an endangered species. Therefore, as a conservation strategy, this study proposes the creation of nurseries, genetic breeding programs, and demographic monitoring of wild populations to counteract the extraction of wild plants and, the conservation of the genetic diversity. Summary: Agave marmorata Roezl., is an endemic species distributed in the states of Oaxaca and Puebla, Mexico, and locally is widely used to produce mezcal.We assessed the genomic diversity and differentiation using the RADseq method and 29,101 high‐quality single nucleotide polymorphisms (SNPs) in wild plants and grown under three different management types (cultivated, plants used as live fences, and young plants growing in nurseries). We examined the demographic history and used species distribution modeling to understand the future of A. marmorata under scenarios of climate change.We found high levels of genomic diversity (HS = 0.229) and moderate levels of inbreeding (FIS = 0.106 and Fhat3 = 0.190). The cultivated samples harbored less genetic diversity than the wild plants. Furthermore, we estimated low differentiation between cultivated and wild localities (FST = 0.037). In the wild samples, we identified two main genetic groups, one in the East and another in the West of its distribution area. This genetic structure possibly derived from a population contraction during the Pleistocene (~216,879.75 BP) and the formation of two refugia in small areas with climatic stability. Furthermore, the demographic reconstruction indicated that A. marmorata went through a recent population expansion event, with a large current Ne (Ne = 8,009). The future climate change models indicated contrasting possible changes in its distribution range, from an increase to the reduction of its suitable habitat, differences related to model parametrization, and future levels of CO2 production.We propose conservation measures for the different management types of the species while also considering the biotic and abiotic interactions of Agave marmorata. [ABSTRACT FROM AUTHOR]

Single nucleotide polymorphisms (SNPs) of the protein tyrosine phosphatase non-receptor type 2 (PTPN2) gene have been documented to be linked with several autoimmune disorders including Behçet's disease (BD). PTPN2 SNPs rs2542151 and rs7234029 have been assessed using real-time PCR in 96 BD patients and 50 controls matched by age and gender. Patients were categorized into groups according to the disease phenotypes and severity. A total of 94.8% of patients were males. The patients' mean age at onset was 26.1 ± 8 years. The median (IQR) disease duration was 8.5(4–13) years. No difference was observed between the patients and controls concerning the frequency of the two SNPs' different genotypes, models, and alleles. Moreover, neither disease phenotypes nor severity were associated with rs2542151 or rs7234029 SNPs. PTPN2 rs2542151 and rs7234029 SNPs do not seem to have associations with BD occurrence, phenotypes, or severity in the Egyptian patients. Key Points • PTPN2 rs2542151 and rs7234029 SNPs do not seem to have associations with BD occurrence, phenotypes, or severity in the Egyptian patients. • Further studies involving a larger sample size with variable clinical diversity are recommended to verify the results. [ABSTRACT FROM AUTHOR]

Objective: Observational studies have established a connection between gut microbiota and ankylosing spondylitis (AS) risk; however, whether the observed associations are causal remains unclear. Therefore, we conducted a two-sample Mendelian randomization (MR) analysis to assess the potential causal associations of gut microbiota with AS risk. Methods: Instrumental variants of gut microbiota were obtained from the MiBioGen consortium (n = 18,340) and the Dutch Microbiome Project (n = 7738). The FinnGen consortium provided genetic association summary statistics for AS, encompassing 2860 cases and 270,964 controls. We used the inverse-variance weighted (IVW) method as the primary analysis, supplemented with the weighted median method, maximum likelihood–based method, MR pleiotropy residual sum and outlier test, and MR-Egger regression. In addition, we conducted a reverse MR analysis to assess the likelihood of reverse causality. Results: After the Bonferroni correction, species Bacteroides vulgatus remained statistically significantly associated with AS risk (odds ratio (OR) 1.55, 95% confidence interval (CI) 1.22–1.95, P = 2.55 × 10−4). Suggestive evidence of associations of eleven bacterial traits with AS risk was also observed (P < 0.05 by IVW). Among them, eight were associated with an elevated AS risk (OR 1.37, 95% CI 1.07–1.74, P = 0.011 for phylum Verrucomicrobia; OR 1.31, 95% CI 1.03–1.65, P = 0.026 for class Verrucomicrobiae; OR 1.17, 95% CI 1.01–1.36, P = 0.035 for order Bacillales; OR 1.31, 95% CI 1.03–1.65, P = 0.026 for order Verrucomicrobiales; OR 1.43, 95% CI 1.13–1.82, P = 0.003 for family Alcaligenaceae; OR 1.31, 95% CI 1.03–1.65, P = 0.026 for family Verrucomicrobiaceae; OR 1.31, 95% CI 1.03–1.65, P = 0.026 for genus Akkermansia; OR 1.55, 95% CI 1.19–2.02, P = 0.001 for species Sutterella wadsworthensis). Three traits exhibited a negative association with AS risk (OR 0.68, 95% CI 0.53–0.88, P = 0.003 for genus Dialister; OR 0.84, 95% CI 0.72–0.97, P = 0.020 for genus Howardella; OR 0.75, 95% CI 0.59–0.97, P = 0.026 for genus Oscillospira). Consistent associations were observed when employing alternate MR methods. In the reverse MR, no statistically significant correlations were detected between AS and these bacterial traits. Conclusion: Our results revealed the associations of several gut bacterial traits with AS risk, suggesting a potential causal role of gut microbiota in AS development. Nevertheless, additional research is required to clarify the mechanisms by which these bacteria influence AS risk. Key Points • The association of gut microbiota with AS risk in observational studies is unclear. • This MR analysis revealed associations of 12 gut bacterial traits with AS risk. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the relationships between eNOS T786C, G894T, intron 4 VNTR (4a/b) gene variations and prostate cancer development and progression. This study included 88 patients diagnosed with prostate cancer and 91 healthy controls. Polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) methods were used to determine the genotype distributions of eNOS T786C, G894T, intron 4 VNTR (4a/b) gene variations. In our study, the CC homozygous genotype of eNOS T786C gene variation was determined to be significantly higher in the prostate cancer patient group compared to the healthy control group (OR: 2.343, 95%Cl: 0.990–5.544, p = 0.026), while the CT heterozygous genotype was found to be significantly higher in the healthy control group compared to the prostate cancer patient group was found to be significantly higher (OR: 0.589, 95%Cl: 0.325–1.068, p = 0.041). In addition, while the TT homozygous genotype of the eNOS G894T gene variation was found to be significantly higher in the prostate cancer patient group compared to the healthy control group (OR: 9.068, 95%Cl: 4.396–18.777, p < 0.001), the GT heterozygous genotype was found to be significantly higher in the healthy control group compared to the prostate cancer patient group was determined significantly higher (OR: 0.227, 95%Cl: 0.121–0.427, p < 0.001). For eNOS (4VNTR (4a/b) - G894T) gene variations, aa-TT (p = 0.042) and bb-TT (p < 0.001) haplotype frequencies were significantly higher in the prostate cancer patient group, while aa-GT (p = 0.017), bb-GG (p = 0.049) and bb-GT (p < 0.001) haplotype frequencies were found to be significantly higher in the healthy control group. For eNOS (4VNTR (4a/b) - T786C) gene variations, the bb-CC haplotype frequency was determined to be significantly higher in the patient group (p = 0.049), while the bb-CT haplotype frequency was determined to be significantly higher in the control group (p = 0.008). For eNOS (T786C -G894T) gene variations, TT-TT (p < 0.001) and CC-TT (p = 0.025) haplotype frequencies were found to be significantly higher in the patient group. On the other hand, TT-GT (p = 0.002) and CT-GT (p < 0.001) haplotype frequencies were determined to be significantly higher in the control group. The aa genotype of the intron 4 VNTR (4a/b) gene variation was determined to be significantly higher at Gleason score ≥7 compared to Gleason score <7 (OR: 0.184, 95%Cl: 0.050–0.677, p = 0.005). PSA levels were determined significantly higher in patients with Gleason score 7 and above (p = 0.008). The risk of developing prostate cancer was found to be significantly higher in patients carrying the CC homozygous mutant genotype of the eNOS T786C gene variation (p = 0.024) and in patients carrying the TT homozygous genotype of the G894T gene variation (p = 0.021). In our study, the CC homozygous genotype of the eNOS T786C gene variation was determined as a genetic risk factor for the development of prostate cancer, while the CT heterozygous genotype was determined as a protective factor against prostate cancer. For the eNOS G894T gene variation, the TT homozygous genotype was determined as a genetic risk factor for the development of prostate cancer, while the GT heterozygous genotype was determined as a protective factor against prostate cancer. Additionally, for eNOS (4VNTR (4a/b) - G894T) gene variations, aa-TT and bb-TT haplotypes have been identified as genetic risk factors for the development of prostate cancer, while aa-GT, bb-GG and bb-GT haplotypes have been identified as protective factors against the disease has been determined. For eNOS (4VNTR (4a/b) - T786C) gene variations, the bb-CC haplotype was determined as a genetic risk factor in the development of prostate cancer, while the bb-CT haplotype was determined as a protective factor against the disease. TT-TT and CC-TT haplotypes for eNOS (T786C -G894T) gene variations have been identified as genetic risk factors for the development of prostate cancer. In contrast, TT-GT and CT-GT haplotypes were found to be protective factors against the disease. The aa genotype of the intron 4 VNTR (4a/b) gene variation has also been identified as an important genetic risk factor in prostate cancer progression. Significantly increased PSA levels in patients with Gleason score 7 and above, and significantly increased PSA levels in patients carrying the CC and TT homozygous mutant genotype for T786C and G894T gene variations were determined as important risk factors. It is thought that the genetic biomarkers in our study may play a role as personalized therapeutic agents in slowing down the development of prostate cancer, increasing the effectiveness of treatment in prostate cancer, affecting the responses to drugs that regulate NO signaling, predetermining genetic predisposition to prostate cancer, and risk assessment in patients with prostate cancer. • In our study, the CC homozygous genotype of the eNOS T786C gene variation was determined as a genetic risk factor for the development of prostate cancer, while the CT heterozygous genotype was determined as a protective factor against prostate cancer. For eNOS G894T gene variation, the TT homozygous genotype was determined as a genetic risk factor for the development of prostate cancer, while the GT heterozygous genotype was determined as a protective factor against prostate cancer. • For (4a/b - G894T) gene variations, aa-TT and bb-TT haplotypes have been identified as genetic risk factors for development of prostate cancer, while aa-GT, bb-GG and bb-GT haplotypes have been determined as protective factors against the disease. For (4a/b - T786C) gene variations, the bb-CC haplotype was determined as a genetic risk factor in the development of prostate cancer, while the bb-CT haplotype was determined as a protective factor against the disease. TT-TT and CC-TT haplotypes for (T786C-G894T) gene variations have been identified as genetic risk factors in the development of prostate cancer. In contrast, TT-GT and CT-GT haplotypes were found to be protective factors against the disease. • The aa genotype of the (4a/b) gene variation has also been identified as an important genetic risk factor in prostate cancer progression. • PSA levels were determined significantly higher in prostate cancer patients with a Gleason score of 7 and above. In addition, the risk of developing prostate cancer was determined to be significantly higher in patients carrying the CC homozygous mutant genotype of the T786C gene variation and the TT homozygous mutant genotype of the G894T gene variation. • Due to its versatile and diverse effects, NO is important as new anticancer strategies in slowing down cancer growth and increasing cancer treatment efficacy. eNOS regulation and NO production are affected by eNOS functional genetic variations, and these genetic variations are important in affecting the response to drugs that regulate NO signaling. It is thought that our findings may be effective in risk assessment and development of personalized therapeutic strategies in prostate cancer patients. [ABSTRACT FROM AUTHOR]

Background: Temporomandibular joint disorder (TMD), a prevalent orofacial disorder with complex aetiologies and considerable socioeconomic costs. This underscores the critical importance of developing a comprehensive understanding of the risk factors associated with TMD, as existing research is hindered by deficiencies in establishing causal relationships and the limitations of traditional research methodologies. Objectives: This research explores the causal link between certain risk factors and temporomandibular joint disorder (TMD) through Mendelian randomization (MR), providing multidimensional perspectives in addressing this worldwide health issue. Methods: Utilizing instrumental variables, we applied advanced statistical methods, including the weighted median, inverse variance weighted (IVW) and MR‐Egger, to evaluate the impact of twelve potential risk factors on TMD. Results: Our results identified a significant positive association of TMD with malocclusion (p <.001), sleeping disorders (p =.006), anxiety (p =.002), major depression (p =.0002), daily cigarettes consumption (p =.029) and autoimmune diseases (p =.039). Conversely, a negative association was observed with educational attainment (p =.003). Conclusion: These findings suggest that malocclusion, sleeping disorders, anxiety, major depression, daily cigarettes consumption and autoimmune diseases, could potentially increase TMD risk while educational attainment might mitigate its increase. No direct causal relationships were established between serum 25‐hydroxyvitamin D levels, menopause, frequent alcohol consumption, coffee intake and severely worn dentition and TMD. [ABSTRACT FROM AUTHOR]

This study aimed to identify the specific vaccine strain associated with herpes zoster (HZ) in children following a series of diagnosed cases and to explore whether differences in single nucleotide polymorphisms (SNPs) among various vaccine strains are linked to an increased incidence of herpes zoster after vaccination. From February 2021 to March 2024, children <12 years old suspected of vaccine-related varicella-like rash or HZ were included. Varicella zoster virus DNA isolated from the patients were sequenced to differentiate vaccine type versus wild-type. 3D protein structures of pORF62 were simulated using open reading frame 62 sequences extracted from whole genome sequencing of vOka, MAV/06, Oka/SK vaccines, and pOka reference. A total of 27 children with a median age of 2.1 (interquartile range, 1.5–3.4) years old presented with vaccine-related varicella-like rash (n = 4/27, 14.8%) or HZ (n = 23/27, 85.2%). One patient with varicella-like rash and 34.8% (n = 8/23) with HZ had disseminated skin involvement. All were immunized with the Oka/SK strain varicella vaccine. Genotyping showed 88.2% (n = 15/17) had SNPs specific to the Oka/SK strain, and two had SNPs considered pOka type contained within the Oka/SK vaccine. Despite accumulations of SNPs in ORF 62 of Oka/SK, the translated amino acid sequence and 3D protein structure were identical to wild-type pOka's pORF62. In vOKA and MAV/06, changes in amino acids occurred at two positions, S628G and R958G, within pORF62. The predicted 3D protein structure of vOka and MAV/06's pORF62 showed that the α helical structure within region I undergoes conformational change, potentially increasing difficulties in interactions with infection-related proteins and thereby decreasing virulence. pORF62 in pOka and Oka/SK exhibited more stable structure complex of the α helical structure. Lack of structural alternations in region I of pORF62 due to the absence of critical genetic polymorphisms in open reading frame 62 could be associated with the heightened incidence of adverse events. [ABSTRACT FROM AUTHOR]

• The first use of MR to evaluate the association between neuroticism and IAs. • Using large GWAS data, with a large sample size, results are more reliable. • Further validate the reliability of the results using multiple databases. The aim of this study was to assess the potential causal relationship between neuroticism and 12 neuroticism items with intracranial aneurysms (IAs) and aneurysmal subarachnoid hemorrhage (aSAH) using a two-sample Mendelian randomization (MR) approach. Study data were obtained from the Genome-Wide Association Study (GWAS) pooled dataset, and we extracted summary statistics for neuroticism, 12 neuroticism items, and IAs, which were categorized into ruptured and unruptured aneurysms (IA), aSAH, and unruptured IAs (uIA). Single nucleotide polymorphisms (SNPs) were used as instrumental variables (IVs) to explore the causal relationship between exposure and outcome using five Mendelian randomization methods, with Inverse variance weighted (IVW) as the primary study method. Horizontal multiple validity tests, sensitivity analyses, and inverse MR ensured the stability of the results. The two-sample MR showed a genetically predictive association between neuroticism and IA [odds ratio (OR) = 1.16; 95 % confidence interval (95 % CI): 1.04–1.30; p = 0.009], aSAH (OR = 1.17; 95 % CI: 1.03–1.33; p = 0.013) and uIA (OR = 1.30; 95 % CI: 1.07–1.59; p = 0.009) were all genetically predictive of association. Ivw showed a positive association between 5 neuroticism items and IA risk, 5 neuroticism items and aSAH risk as well as no genetically predictive association between neuroticism items and uIA. Sensitivity analysis and inverse MR confirmed the robustness of the results. Our Mendelian randomization analysis demonstrated genetic causality between neuroticism and neuroticism items with intracranial aneurysms, aneurysmal subarachnoid hemorrhage, and unruptured intracranial aneurysms, and further studies are needed to confirm these results and explore potential mechanisms of action. [ABSTRACT FROM AUTHOR]

Sianipar NF, Muflikhati Z, Assidqi K. 2024. Optimization design of tetra-primer ARMS-PCR using SNP lectin gene and in silico characterization of lectin protein in rodent tuber (Typhonium flagelliforme) mutant of Bogor accessions. Nusantara Bioscience 16: 201-209. Rodent tuber plant (Typhonium flagelliforme (G.Lodd.) Blume) contains several anticancer compounds. Mutant plants have a higher cytotoxic effect than wild-type plants. This study aimed to devise a tetra-primer ARMS PCR using lectin gene SNPs to differentiate T. flagelliforme mutants and wild-type of Bogor accessions. A protein modeling study was also conducted to investigate the impact of point mutations on the structure of protein. The tetra-primer ARMS design and in silico protein modeling analysis were based on mutation points from previously sequenced lectin genes. A pair of primers was successfully designed using the missense mutation type specific to the SNP site that causes amino acid variation. The ARMS lec183 tetra-primer focuses on a 183 bp mutation in the lectin gene that converts threonine to arginine to provide a successful lec183 primer. The ARMS lec183 primer pair did not differentiate T. flagelliforme mutant plants from wild-type of Bogor accessions. The tetra-primer ARMS lec183 could be amplified successfully in all T. flagelliforme samples at a size of 278 bp outer primer and 193 bp inner primer, as determined by primer size. In the mutant protein structure, the 183 bp mutation results in amino acid changes that closely match those in wild-type proteins. [ABSTRACT FROM AUTHOR]

Background: There is insufficient replicated data to establish a relationship between the polymorphisms of SLC6A2 and CYP2D6 and the treatment responses of atomoxetine (ATX) in ADHD. We focused on evaluating the effect of top-line single nucleotide polymorphisms (SNPs) in SLC6A2 and CYP2D6 on the ATX treatment response in attention deficit and hyperactivity disorder (ADHD). Methods: Of 160 patient records, 34 patients who met the inclusion criteria were evaluated to determine the relationship between genotypes of ten SNPs (six of SLC6A2 and four of CYP2D6) and ATX treatment response. Additionally, the connection between SNPs of CYP2D6 and the severity of side effects associated with ATX was analyzed in 37 patients, including the 34 study patients, and three patients discontinued because of ATX-dependent side effects. Results: All six polymorphisms we studied in SLC6A2 were associated with the treatment response of ATX. Clinical improvement in oppositional defiant disorder symptoms of patients with ADHD was only observed in carriers of the homozygous "C" allele of rs3785143 (podd = 0.026). We detected an association between higher CGI-side-effect severity scores and the "TT" genotype of rs1065852 polymorphism in CYP2D6 (p = 0.043). Conclusions: The findings of this study suggest that genotypes of polymorphisms within the SLC6A2 and CYP2D6 may play an influential role in treatment response or the severity of side effects associated with ATX in ADHD patients. [ABSTRACT FROM AUTHOR]

Summary: Population genetics theory predicts a relationship between fitness, genetic diversity (H0) and effective population size (Ne), which is often tested through heterozygosity‐fitness correlations (HFCs).We tested whether population and individual fertility and heterozygosity are correlated in two endangered Mexican spruces (Picea martinezii and Picea mexicana) by combining genomic, demographic and reproductive data (seed development and germination traits).For both species, there was a positive correlation between population size and seed development traits, but not germination rate. Individual genome‐wide heterozygosity and seed traits were only correlated in P. martinezii (general‐effects HFC), and none of the candidate single nucleotide polymorphisms (SNPs) associated with individual fertility showed heterozygote advantage in any species (no local‐effects HFC). We observed a single and recent (c. 30 thousand years ago (ka)) population decline for P. martinezii; the collapse of P. mexicana occurred in two phases separated by a long period of stability (c. 800 ka). Recruitment always contributed more to total population census than adult trees in P. mexicana, while this was only the case in the largest populations of P. martinezii.Equating fitness to either H0 or Ne, as traditionally proposed in conservation biology, might not always be adequate, as species‐specific evolutionary factors can decouple the expected correlation between these parameters. [ABSTRACT FROM AUTHOR]

Aim: Low birthweight is an issue during pregnancy associated with an increased risk of developing liver disease later in life. Previous Mendelian randomisation (MR) studies which explored this issue have not isolated the direct impact of the foetus on birthweight. In the present study, MR was used to assess whether direct foetal effects on birthweight were causally associated with liver structure, function and disease risk independent of intrauterine effects. Materials and Methods: We extracted single nucleotide polymorphisms (SNPs) from genome‐wide association studies (GWAS) about direct foetal‐affected birthweight (321 223 cases) to conduct univariable and multivariable MR analyses to explore the relationships between birthweight and 4 liver structure measures, 9 liver function measures and 18 liver diseases. A two‐step MR analysis was used to further assess and quantify the mediating effects of the mediators. Results: When isolating direct foetal effects, genetically predicted lower birthweight was associated with a higher risk of non‐alcoholic fatty liver disease (NAFLD) (odds ratios [OR], 95% confidence interval [CI]: 1.61, 1.29–2.02, p < 0.001), higher magnetic resonance imaging [MRI] proton density fat fraction (PDFF) and higher serum gamma glutamyltransferase (GGT). Two‐step MR identified two candidate mediators that partially mediate the direct foetal effect of lower birthweight on NAFLD, including fasting insulin (proportion mediated: 22.29%) and triglycerides (6.50%). Conclusions: Our MR analysis reveals a direct causal association between lower birthweight and liver MRI PDFF, as well as the development of NAFLD, which persisted even after accounting for the potential influence of maternal factors. In addition, we identified fasting insulin and triglycerides as mediators linking birthweight and hepatic outcomes, providing insights for early clinical interventions. [ABSTRACT FROM AUTHOR]

Two morphologically and genetically distinct salamander species (the crested newt, Triturus cristatus and the marbled newt, T. marmoratus) engage over a large area in the west of France where they hybridize at ca. 4%. The species interaction is characterized by ecological differentiation and limited gene flow beyond the F1 hybrid generation. Incompletely isolated species like these allow to investigate the genetic mechanisms and evolutionary forces that maintain their identity in the face of ongoing gene flow, to which a large mosaic hybrid zone provides excellent opportunities. A reanalysis of published morphological data supports the partial breakdown of the species barrier whereas extensive genetic data show that introgression is low yet asymmetric, in line with the dynamics of species replacement inferred earlier. The current work, with seven diagnostic nuclear markers studied for a large sample, revises the estimates of introgression in both T. cristatus (to 0.24%) and T. marmoratus (to 0.11%). Difficulties remain in the recognition of potential triploid hybrids versus backcross hybrids. Haldane's rule is partially supported, but deeper analyses require the use of a molecular marker for sex that is not yet available. [ABSTRACT FROM AUTHOR]

A 44-year-old man with hypertension and dyslipidemia presented with pain in the buttocks. The patient was diagnosed with perianal ischiorectal fossa abscesses and cellulitis. He was subsequently diagnosed with a perineal subcutaneous abscess after a week, a right lower leg impetigo after a month, right periorchitis, a scrotal abscess, and Fournier's gangrene after two months. The patient was treated with various antimicrobials and underwent incisional drainage. Methicillin-resistant Staphylococcus aureus (MRSA) was detected in all draining specimens. Her daughter and son, who lived with the patient, presented with subcutaneous abscesses caused by MRSA. Suspecting repeated infections and household infections by virulent types of MRSA, such as PVL-positive strains, we performed genetic analyses of his and his son's strains. The results showed that the genotype and toxin gene profiles [ST8/t008/SCCmec type IVc/Panton-Valentine leucocidin (PVL) (+)/arginine catabolic mobile element (ACME) (−)] of both strains matched. single nucleotide polymorphism (SNP) analysis confirmed genetic homology between the two, concluding that home transmission by the same clone had occurred. In addition, the strain in this case differed from USA300 [ST8/t008/SCCmec type IVa/PVL (+) ACME (+)], which is a PVL-positive MRSA worldwide, including Japan, and its genetic profile matches that of USA300-LV, which is detected mainly in South America. Furthermore, SNP analysis showed that this strain is similar to USA300-LV/J (derived from USA300-LV) detected on Ishigaki Island, Okinawa Prefecture, Japan. This is the first report of refractory infections and household transmission of USA300-LV/J. Therefore, it is necessary to closely monitor both the USA300 and the USA300-LV. [ABSTRACT FROM AUTHOR]

Aquaporin-4 (AQP4) is hypothesized to be a component of the glymphatic system, a pathway for removing brain interstitial solutes like amyloid-β (Aβ). Evidence exists that genetic variation of AQP4 impacts Aβ clearance, clinical outcome in Alzheimer's disease as well as sleep measures. We examined whether a risk score calculated from several AQP4 single-nucleotide polymorphisms (SNPs) is related to Aβ neuropathology in older cognitively unimpaired white individuals. We used a machine learning approach and explainable artificial intelligence to extract information on synergistic effects of AQP4 SNPs on brain amyloid burden from the ADNI cohort. From this information, we formulated a sex-specific AQP4 SNP-based risk score and evaluated it using data from the screening process of the A4 study. We found in both cohorts significant associations of the risk score with brain amyloid burden. The results support the hypothesis of an involvement of the glymphatic system, and particularly AQP4, in brain amyloid aggregation pathology. They suggest also that different AQP4 SNPs exert a synergistic effect on the build-up of brain amyloid burden. • AQP4 SNPs exert a synergistic effect on the build-up of brain amyloid burden. • AQP4 SNP based risk score is related to Aβ burden in healthy white individuals. • Explainable AI could extract information on synergistic effects of SNPs. [ABSTRACT FROM AUTHOR]

The dysfunction of the ABO glycosyltransferase (GT) enzyme, which is caused by mutations in the ABO gene, can lead to weak ABO phenotypes. In this study, we have discovered a novel weak ABO subgroup allele and investigated the underlying mechanism to causing its A weak phenotype. The ABO phenotyping and genotyping were performed by serological studies and direct DNA sequencing of ABO gene. The role of the novel single nucleotide polymorphism (SNP) was evaluated by 3D model, predicting protein structure changes, and in vitro expression assay. The total glycosyltransferase transfer capacity in supernatant of transfected cells was examined. The results of serological showed the subject was A weak phenotype. A novel SNP c.424A > G (p. M142V) based on ABO∗A1.02 was identified, and the genotype of the subject was AW-var/O.01 according to the gene analysis. In silico analysis showed that the SNP c.424A > G on the A allele may change the local conformation by damaging the hydrogen bonds and reduce the stability of GT. In vitro expression study showed that SNP p.M142V impaired H to A antigen conversion, although it did not affect the generation of A glycosyltransferase (GTA). One novel AW allele was identified and the SNP c.424A > G (p.M142V) can cause the A weak phenotype through damaging the hydrogen bonds and reducing stability of the GTA. [ABSTRACT FROM AUTHOR]

Context Gestational diabetes mellitus (GDM) is a pregnancy-complicated disease that poses a risk to maternal and infant health. However, the etiology of the disease has been not yet elucidated. Objective To detect the genetic susceptibility and construct a nomogram model with significantly associated polymorphisms and key clinical indicators for early prediction of GDM. Methods Eleven functional single nucleotide polymorphisms (SNPs) screened by genome-wide association study were genotyped in 554 GDM cases and 641 healthy controls. Functional analysis of GDM positively associated SNPs, multivariate mendelian randomization (MVMR), and a GDM early predictive nomogram model construction were performed. Result rs1965211, rs3760675, and rs7814359 were significantly associated with genetic susceptibility to GDM after adjusting age and prepregnancy body mass index (pre-BMI). It seems that GDM-associated SNPs have effects on regulating target gene transcription factor binding, posttranscriptional splicing, and translation product structure. Besides, rs3760675 can be expression quantitative trait loci and increase the XAB2 mRNA expression level (P =.047). The MVMR analysis showed that the increase of clinical variables of BMI, hemoglobin A1c (HbA1c), and fasting plasma glucose (FPG) had significant causal effects on GDM (BMI-ORMVMR = 1.52, HbA1c-ORMVMR = 1.32, FPG-ORMVMR = 1.78), P <.05. A nomogram model constructed with pre-BMI, FPG, HbA1c, and genotypes of rs1965211, rs3760675, and rs7814359 showed an area under the receiver operating characteristic curve of 0.824. Conclusion Functional polymorphisms can change women's susceptibility to GDM and the predictive nomogram model based on genetic and environmental factors can effectively distinguish individuals with different GDM risks in early stages of pregnancy. [ABSTRACT FROM AUTHOR]

Lung carcinoids (L‐CDs) are rare, poorly characterised neuroendocrine tumours (NETs). L‐CDs are more common in women and are not the consequence of cigarette smoking. They are classified histologically as typical carcinoids (TCs) or atypical carcinoids (ACs). ACs confer a worse survival. Histological classification is imperfect, and there is increasing interest in molecular markers. We therefore investigated global transcriptomic and epigenomic profiles of 15 L‐CDs resected with curative intent at Royal Brompton Hospital. We identified underlying mutations and structural abnormalities through whole‐exome sequencing (WES) and single nucleotide polymorphism (SNP) genotyping. Transcriptomic clustering algorithms identified two distinct L‐CD subtypes. These showed similarities either to pancreatic or neuroendocrine tumours at other sites and so were named respectively L‐CD‐PanC and L‐CD‐NeU. L‐CD‐PanC tumours featured upregulation of pancreatic and metabolic pathway genes matched by promoter hypomethylation of genes for beta cells and insulin secretion (p < 1 × 10−6). These tumours were centrally located and showed mutational signatures of activation‐induced deaminase/apolipoprotein B editing complex activity, together with genome‐wide DNA methylation loss enriched in repetitive elements (p = 2.2 × 10−16). By contrast, the L‐CD‐NeU group exhibited upregulation of neuronal markers (adjusted p < 0.01) and was characterised by focal spindle cell morphology (p = 0.04), peripheral location (p = 0.01), high mutational load (p = 2.17 × 10−4), recurrent copy number alterations, and enrichment for ACs. Mutations affected chromatin remodelling and SWI/SNF complex pathways. L‐CD‐NeU tumours carried a mutational signature attributable to aflatoxin and aristolochic acid (p = 0.05), suggesting a possible environmental exposure in their pathogenesis. Immunologically, myeloid and T‐cell markers were enriched in L‐CD‐PanC and B‐cell markers in L‐CD‐NeU tumours. The substantial epigenetic and non‐coding differences between L‐CD‐PanC and L‐CD‐NeU open new possibilities for biomarker selection and targeted treatment of L‐CD. © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. [ABSTRACT FROM AUTHOR]

This cross-sectional study explores the impact of FTO gene single nucleotide polymorphisms (SNPs) rs9939609 and rs1421085 on dietary habits contributing to obesity risk in Thai adults. The study enrolled 384 participants from Bangkok, categorized as non-obese (BMI < 25 kg/m2) or obese (BMI ≥ 25 kg/m2) based on WHO Asia Pacific Guidelines. Genotyping for FTO variants was performed using DNA from blood samples. While both SNPs adhered to Hardy–Weinberg equilibrium, the association between risk alleles and anthropometric measurements was not statistically significant. However, risk allele carriers showed significantly higher intakes of sugar and saturated fat compared to homozygous dominant individuals. In the obese group, the odds ratio for high-sugar intake was 2.22 (95% CI 1.13–4.37, p = 0.021) for rs9939609 risk allele carriers. For high-saturated fat intake, the odds ratio was 1.86 (95% CI 1.02–3.40, p = 0.041). Similar associations were observed for rs1421085. Risk allele carriers also exhibited significantly higher leptin levels (p < 0.043) and a positive correlation with myeloperoxidase levels (p < 0.038). These findings highlight the complex relationship between FTO risk alleles, increased consumption of sugar and saturated fat, and obesity-related parameters. The insights emphasize the importance of considering both genetic and dietary factors in obesity prevention strategies. [ABSTRACT FROM AUTHOR]

Purpose: In the Zhejiang region, research on Helicobacter pylori is lacking. The purpose of this study was to assess the extent of antibiotic resistance in H. pylori in this region, explore alternative methods for predicting the resistance patterns of H. pylori, and investigate the colonization of native gastric mucosa by other clades of H. pylori in the structure population of this bacterium. Methods: Strains were cultured under microaerobic conditions, and antimicrobial susceptibility testing (AST) was performed via agar dilution. Whole-genome sequencing (WGS) was performed via next-generation sequencing (NGS) technology. Epidemiological data including data from this study and reported articles from Zhejiang, China, were included. Further analyses based on AST, WGS, and epidemiological date include virulence genes, antibiotic resistance-related mutations, and phylogenetic trees based on 7 housekeeping genes and core-genome single nucleotide polymorphisms (SNPs). Results: The bacterial isolates in this study presented higher antibiotic resistance rates than previously reported, especially against levofloxacin and clarithromycin. The point mutation A2147G in 23 S rRNA is specific to clarithromycin resistance. Mutations at position/s 87 and/or 91 of the gyrA gene amino acid sequence are highly consistent with levofloxacin resistance highly. The point mutations C1707T in 23 S rRNA and E463K in the gyrB gene have not been previously documented in China. All the bacterial isolates belong to Asian branches in the structure population. The resistance rate to clarithromycin of isolates from hosts born after January 1, 1977 is statistically higher than that of hosts born before 1977. Conclusion: Eradication therapy based on AST results is urgently needed in Zhejiang. The point mutation A2147G in 23 S rRNA and point mutations in the gyrA gene at amino acid/s 87 and/or 91 are sufficient for predicting resistance to clarithromycin and levofloxacin, respectively. The isolate with the mutation E463K in the gyrB gene represents a significant contribution to the field. Mutations in 23 S rRNA may offer valuable insights into the dynamics of H. pylori transmission among hosts. [ABSTRACT FROM AUTHOR]

Background and objective: Genetic polymorphism studies in families and twins indicated the heritability of depression. However, the association between genes with genetic polymorphism and depression provides various findings and remains unclear. Therefore, we conducted a systematic review and meta-analysis to determine the genes with their polymorphism associated with the symptomatic depression known as major depressive disorder (MDD). Materials and methods: PubMed and Scopus were searched for relevant studies published before May 22, 2023 (1968–2023), and 62 were selected for this review. The study's bias risk was investigated using the Newcastle–Ottawa scale. Gene functional enrichment analysis was investigated for molecular function (MF) and biological process (BP) and pathways. A meta-analysis of the studied genes that were replicative in the same single nucleotide polymorphism was conducted using a random-effect model. Results: The 49 genes involved in MDD were studied and engaged in several pathways, such as tryptophan metabolism or dopaminergic and serotonergic synapses. Based on gene overlapping in MF and BP, 13 genes with polymorphisms were identified as related to MDD. Most of them were only studied once. Solute carrier family 6 member 4 (SLC6A4) overlapping between MF and BP and brain-derived neurotrophic factor (BDNF) as unique to BP were replicative studied and used in the meta-analysis. The polymorphism of SLC6A4 SS and LS genotypes increased the occurrence of MDD development but not significantly [odd ratio (OR) = 1.39; 95% confidence interval (CI) = 0.87–2.22; P = 0.16 and OR = 1.13; 95% CI = 0.84–1.53; P = 0.42, respectively]. A similar result was observed for BDNF rs6265 GG (OR = 1.26; 95% CI = 0.78–2.06; P = 0.35) and BDNF rs6265 AA genotypes (OR = 1.12; 95% CI = 0.77–1.64; P = 0.56). These studies indicated low bias and significant heterogeneity. Conclusion: At least 13 studied genes with polymorphisms were involved in MDD development according to MF and BP, but not significantly. These results suggest that MDD development risk factors might require genetic and other factors for interaction and induction. [ABSTRACT FROM AUTHOR]

Background: Schizophrenia is a debilitating mental disorder affecting about 1% of the global population, characterized by significant cognitive impairments and a strong hereditary component. Carnitine, particularly Levo-carnitine and its derivatives, plays a crucial role in cellular metabolism and mitochondrial function, with evidence suggesting a link between levo-carnitine deficiency and schizophrenia pathology. This study aims to investigate the causal relationship between different subtypes of levo-carnitine and the susceptibility to schizophrenia using Mendelian randomization analysis. Methods: Forward Mendelian randomization analysis was conducted using levo-carnitine and its derivatives as exposure and schizophrenia as the outcome. Candidate data were obtained from the Open-GWAS database. Instrumental variables were identified as single nucleotide polymorphisms closely associated with exposure and harmonized with the outcome data after removing confounders and outliers. Mendelian randomization analysis was performed using inverse variance weighting as the primary approach, and sensitivity analysis was conducted to assess the reliability and robustness of the results. Finally, a reverse Mendelian randomization analysis was carried out using the same analytical procedures. Results: The Mendelian randomization results indicate a significant negative causal relationship between isovaleryl-levo-carnitine and schizophrenia (P < 0.05), but no significant associations in other groups (P > 0.05). Additionally, the reverse Mendelian randomization analysis did not identify any causal relationship between schizophrenia and levo-carnitine related exposures (P > 0.05). Sensitivity analyses, including pleiotropy and heterogeneity analysis, did not reveal any potential bias in the Mendelian randomization results (P > 0.05). Conclusion: The results suggest that elevated levels of isovaleryl-levo-carnitine may potentially mitigate the risk of developing schizophrenia, highlighting the prospective therapeutic and preventive implications of isovaleryl-levo-carnitine in the clinical management of schizophrenia. [ABSTRACT FROM AUTHOR]

As more multi-ancestry GWAS summary data become available, we have developed a comprehensive trans-ancestry pathway analysis framework that effectively utilizes this diverse genetic information. Within this framework, we evaluated various strategies for integrating genetic data at different levels—SNP, gene, and pathway—from multiple ancestry groups. Through extensive simulation studies, we have identified robust strategies that demonstrate superior performance across diverse scenarios. Applying these methods, we analyzed 6,970 pathways for their association with schizophrenia, incorporating data from African, East Asian, and European populations. Our analysis identified over 200 pathways significantly associated with schizophrenia, even after excluding genes near genome-wide significant loci. This approach substantially enhances detection efficiency compared to traditional single-ancestry pathway analysis and the conventional approach that amalgamates single-ancestry pathway analysis results across different ancestry groups. Our framework provides a flexible and effective tool for leveraging the expanding pool of multi-ancestry GWAS summary data, thereby improving our ability to identify biologically relevant pathways that contribute to disease susceptibility. Author summary: Pathway analysis is a powerful tool used to understand genetic associations with diseases. Instead of looking at individual genetic markers (such as single nucleotide polymorphisms, SNPs), it examines the combined effects of multiple markers within biological pathways. This method is more effective for detecting subtle genetic influences on diseases that might be missed when looking at individual markers alone. Our study expands pathway analysis to include data from diverse ancestry groups, which is often overlooked in traditional single-ancestry genetic studies. We developed a comprehensive trans-ancestry pathway analysis framework to effectively utilize diverse genetic data. In our framework, we explore various strategies for integrating genetic data at different levels—SNP, gene, and pathway—from multiple ancestry groups. Through extensive simulations, we identified robust strategies that perform well in diverse scenarios. Applying these methods, we analyzed around 7,000 pathways for their association with schizophrenia, using data from African, East Asian, and European populations. Our analysis identified over 200 pathways significantly associated with schizophrenia, even after excluding genes near genome-wide significant loci. Our approach significantly improves detection efficiency compared to traditional single-ancestry pathway analysis and the conventional approach that amalgamates single-ancestry pathway analysis results across different ancestry groups. This framework offers a flexible and effective tool for leveraging the growing pool of multi-ancestry GWAS data, enhancing our ability to identify biologically relevant pathways contributing to disease susceptibility. [ABSTRACT FROM AUTHOR]

To gain a clearer understanding of the relationship between venous leg ulcers (VLUs) and knee osteoarthritis (KOA), we performed a two‐sample, bidirectional Mendelian randomization (MR) analysis in this study. The present MR was carried out using summary data from publicly available genome‐wide association studies. After filtering single‐nucleotide polymorphism (SNP), we applied a variety of MR methods including inverse variance weighted (IVW), MR egger, weighted mode, and weighted median. IVW analysis revealed that the genetic association between VLUs and KOA was not significant (β = −0.017; SE 0.039; p = 0.658). In agreement with the IVW analysis, the findings of the weighted median estimator (β = −0.017; SE 0.052, p = 0.751), MR egger (β = 0.057; SE 0.084; p = 0.513), and weighted mode (β = 0.060; SE 0.078; p = 0.456) indicated the absence of a significant genetic association between VLUs and KOA. Furthermore, reverse causality analysis suggested a lack of genetic relationship between KOA and VLUs. In conclusion, the present MR study does not suggest a causal relationship or reverse causal relationship between VLUs and KOA. [ABSTRACT FROM AUTHOR]

Background: At present, embryologists are attempting to use conventional in vitro fertilization (cIVF) as an alternative to intracytoplasmic sperm injection (ICSI) for preimplantation genetic testing (PGT). However, the potential parental contamination origin of sperm cells and cumulus cells is considered the main limiting factor in the inability of cIVF embryos to undergo PGT. Methods: In this study, we established an IVF-PGTA assay for parental contamination tests with a contamination prediction model based on allele frequencies and linkage disequilibrium (LD) to compute the log-likelihood ratio (LLR) under competing ploidy hypotheses, and then verified its sensitivity and accuracy. Finally, comparisons of the effectiveness of SNP-based analysis and LLR-based IVF-PGTA among 40 cIVF embryos was performed, based on both statistical analysis of the parental contamination rate and chromosomal ploidy concordance rate between TE biopsy and ICM isolations. Results: With IVF-PGTA assay, biopsies with 10% maternal contamination could be detected accurately, and contamination caused by sperm cells could be eliminated completely. Utilizing LLR-based or single Nucleotide Polymorphism (SNP) -based analyses, our comprehensive examination of 40 clinically discarded fresh cIVF embryos revealed an absence of paternal contamination. Strikingly, the LLR-based analysis uniquely revealed a mere instance of 24% maternal contamination within the trophectoderm cell (TE) biopsy of 5* embryo. Furthermore, it was solely through this analysis that embryo (9-F) was identified as a triploid of paternal origin. Conclusions: In this study, we developed a new bioinformatics analysis method for identifying parental contamination during IVF-PGT, especially for couples with nonmale factor infertility. [ABSTRACT FROM AUTHOR]

The therapeutic efficacy of lung adenocarcinoma (LUAD), the most prevalent histological subtype of primary lung cancer, remains inadequate, with accurate prognostic assessment posing significant challenges. This study sought to elucidate the prognostic significance of mitochondrial-related genes in LUAD through an integrative multi-omics approach, aimed at developing personalized therapeutic strategies. Utilizing transcriptomic and single-cell RNA sequencing (scRNA-seq) data, alongside clinical information from publicly available databases, we first applied dimensionality reduction and clustering techniques to the LUAD single-cell dataset, focusing on the subclassification of fibroblasts, epithelial cells, and T cells. Mitochondrial-related prognostic genes were subsequently identified using TCGA-LUAD data, and LUAD cases were stratified into distinct molecular subtypes through consensus clustering, allowing for the exploration of gene expression profiles and clinical feature distributions across subtypes. By leveraging an ensemble of machine learning algorithms, we developed an Artificial Intelligence-Derived Prognostic Signature (AIDPS) model based on mitochondrial-related genes and validated its prognostic accuracy across multiple independent datasets. The AIDPS model demonstrated robust predictive power for LUAD patient outcomes, revealing significant differences in responses to immunotherapy and chemotherapy, as well as survival outcomes between risk groups. Furthermore, we conducted comprehensive analyses of tumor mutation burden (TMB), immune microenvironment characteristics, and genome-wide association study (GWAS) data, providing additional insights into the mechanistic roles of mitochondrial-related genes in LUAD pathogenesis. This study not only offers a novel approach to improving prognostic assessments in LUAD but also establishes a strong foundation for the development of personalized therapeutic interventions. [ABSTRACT FROM AUTHOR]

Background: Cabbage (Brassica oleracea L. var. capitata) is an important crop within the Brassica oleracea species and is extensively cultivated worldwide. In recent years, outbreaks of downy mildew caused by Hyaloperonospora parasitica have resulted in substantial losses in cabbage production. Despite this, there have been limited studies on genes associated with resistance to downy mildew in cabbage. Results: This study identified sister lines exhibiting significant differences in disease resistance and susceptibility. Using bulked segregant analysis followed by sequencing (BSA-seq) and linkage analysis, the cabbage resistance locus BoDMR2 was accurately mapped to an approximately 300 kb interval on chromosome 7. Among the candidate genes identified, several single nucleotide polymorphisms (SNPs) and a 3-bp insertion were found within the conserved domain of the Bo7g117810 gene, encoding a leucine-rich repeat domain protein, in susceptible genotypes. Additionally, real-time quantitative polymerase chain reaction (RT‒qPCR) analysis revealed that the expression level of Bo7g117810 in resistant specimens was 2.5-fold higher than that in susceptible specimens. An insertion‒deletion (InDel) marker was designed based on the identified insertion in susceptible materials, facilitating the identification and selection of downy mildew-resistant cabbage cultivars. Conclusions: This study identifies Bo7g117810 as a potential candidate gene associated with adult-stage resistance to downy mildew in cabbage, supported by observed differences in gene sequence and expression levels. Furthermore, the development of an InDel marker I1-3, based on its mutation, provides valuable resources for breeding resistant cabbage cultivars. [ABSTRACT FROM AUTHOR]

Background: Premature myocardial infarction (PMI) is one of the most pressing global issues in modern cardiology. Recently, the incidence of PMI has gradually increased. Researches found that genetics is a major contributor in its development. SIRT1, an extremely conserved class III NAD-dependent deacetylase, has been linked to numerous cardiovascular disorders and engaged in a number of cellular functions. This work investigated the association between SIRT1 SNP rs7069102 in Egyptian patients ≤ 40 years old with premature ST-elevation Myocardial infarction (STEMI). Methods: This cross sectional, single-center study included patients younger than 40 with STEMI (PMI group, n = 140) and a control group (n = 140) of healthy subjects of comparable age. In addition to clinical examination and standard tests, all participants underwent echocardiography, coronary angiography, SIRT1 (rs7069102) genotyping, and nitric oxide assay. Results: The risk for PMI was increased in CG or CC genotype carriers of SIRT1 gene rs7069102 (OR: 3.93, 95% Cl: 2.25–6.86), as did carriers of the C allele (OR: 2.26, 95% Cl: 1.65–3.86). In the PMI group, endothelial nitric oxide synthase (eNOS) was significantly decreased; whereas, neuronal nitric oxide synthase (nNOS) was significantly increased. Conclusions: SIRT1 single-nucleotide polymorphism (rs7069102) may confer an increased risk for PMI in young Egyptian patients with affecting endothelial nitric oxide synthase protein expressions. Traditional cardiovascular risk factors are prevalent in patients with PMI, with dietary behaviors, obesity, diabetes and dyslipidemia serving as independent risk factors for PMI. Clinical trial registration number: NCT05160844. [ABSTRACT FROM AUTHOR]

ABSTRACT A major challenge in analysing single‐nucleotide polymorphism (SNP) genotype datasets is detecting and filtering errors that bias analyses and misinterpret ecological and evolutionary processes. Here, we present a comprehensive method to estimate and minimise genotyping error rates (deviations from the ‘true’ genotype) in any SNP datasets using triplicates (three repeats of the same sample) in a four‐step filtration pipeline. The approach involves: (1) SNP filtering by missing data; (2) SNP filtering by error rates; (3) sample filtering by missing data and (4) detection of recaptured individuals by using estimated SNP error rates. The modular pipeline is provided in an R script that allows customised adjustments. We demonstrate the applicability of the method using non‐invasive sampling from the Asiatic wild ass (Equus hemionus) population in Israel. We genotyped 756 samples using 625 SNPs, of which 255 were triplicates of 85 samples. The average SNP error rate, calculated based on the number of mismatching genotypes across triplicates before filtration, was 0.0034 and was reduced to 0.00174 following filtration. Evaluating genetic distance (GD) and relatedness (r) between triplicates before and after filtration (expected to be at the minimum and maximum respectively) showed a significant reduction in the average GD, from 58.1 to 25.3 (p = 0.0002) and a significant increase in relatedness, from r = 0.98 to r = 0.991 (p = 0.00587). We demonstrate how error rate estimation enhances recapture detection and improves genotype quality. [ABSTRACT FROM AUTHOR]

BACKGROUND RESULTS CONCLUSION Yellow mosaic disease (YMD) is the most devastating disease of soybean under north Indian conditions. A recombinant inbred line population derived from SL 958 (R) × AGS 456 (S) was used to map the genes imparting YMD resistance. Genotyping by sequencing (GBS) of 148 individuals and the parents was used to identify polymorphic SNPs in the population. These were used to generate linkage maps and subsequently map the QTL.A QTL, MYMIV 1‐1.1, was mapped onto chromosome 6. The QTL was mapped at a genetic distance of 114.31 cM, with likelihood ratio of 81.34 (LOD 17.68), explaining 33.80% of the variation for the trait, with an additive effect of 1.22. MYMIV 1‐1.1 was flanked by SNPs Gm06_12614920 explaining 33.80% of variation and Gm06_12887789 explaining 31.04% of the variation. The QTL region spanned for a total of 2.798 Mbp.The QTL was mapped in an approximately 4 cM region. Flanking SNPs can be developed into linked markers for effective marker‐assisted selection. Out of the genes in the QTL region, Glyma.06G161700 (Suppressor of Gene Silencing/SGS3) is the strongest contender for the resistance gene. This is the first study documenting GBS‐based mapping of YMD resistance in soybean. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Eucalyptus globulus Labill., is a recognized multipurpose tree, which stands out not only for the valuable qualities of its wood but also for the medicinal applications of the essential oil extracted from its leaves. In this study, we implemented an integrated strategy comprising genomic and phenomic approaches to predict foliar essential oil content, stem quality, and growthrelated traits within a 9-year-old breeding population of E. globulus. The strategy involved evaluating Uni/Multi-trait deep learning (DL) models by incorporating genomic data related to single nucleotide polymorphisms (SNPs) and haplotypes, as well as the phenomic data from leaf near-infrared (NIR) spectroscopy. Our results showed that essential oil content (oil yield) ranged from 0.01 to 1.69% v/fw and had no significant correlation with any growth-related traits. This suggests that selection solely based on growth-related traits did n The emphases (colored text) from revisions were removed throughout the article. Confirm that this change is fine. ot influence the essential oil content. Genomic heritability estimates ranged from 0.25 (diameter at breast height (DBH) and oil yield) to 0.71 (DBH and stem straightness (ST)), while pedigree-based heritability exhibited a broader range, from 0.05 to 0.88. Notably, oil yield was found to be moderate to highly heritable, with genomic values ranging from 0.25 to 0.60, alongside a pedigree-based estimate of 0.48. The DL prediction models consistently achieved higher prediction accuracy (PA) values with a Multi-trait approach for most traits analyzed, including oil yield (0.699), tree height (0.772), DBH (0.745), slenderness coefficient (0.616), stem volume (0.757), and ST (0.764). The Uni-trait approach achieved superior PA values solely for branching quality (0.861). NIR spectral absorbance was the best omics data for CNN or MLP models with a Multi-trait approach. These results highlight considerable genetic variation within the Eucalyptus progeny trial, particularly regarding oil production. Our results contribute significantly to understanding omics-assisted deep learning models as a breeding strategy to improve growth-related traits and optimize essential oil production in this species. [ABSTRACT FROM AUTHOR]

We present SpliceTransformer (SpTransformer), a deep-learning framework that predicts tissue-specific RNA splicing alterations linked to human diseases based on genomic sequence. SpTransformer outperforms all previous methods on splicing prediction. Application to approximately 1.3 million genetic variants in the ClinVar database reveals that splicing alterations account for 60% of intronic and synonymous pathogenic mutations, and occur at different frequencies across tissue types. Importantly, tissue-specific splicing alterations match their clinical manifestations independent of gene expression variation. We validate the enrichment in three brain disease datasets involving over 164,000 individuals. Additionally, we identify single nucleotide variations that cause brain-specific splicing alterations, and find disease-associated genes harboring these single nucleotide variations with distinct expression patterns involved in diverse biological processes. Finally, SpTransformer analysis of whole exon sequencing data from blood samples of patients with diabetic nephropathy predicts kidney-specific RNA splicing alterations with 83% accuracy, demonstrating the potential to infer disease-causing tissue-specific splicing events. SpTransformer provides a powerful tool to guide biological and clinical interpretations of human diseases. RNA splicing is crucial for gene expression diversity and can be altered by mutations. Here, the authors present SpTransformer, a deep learning tool that predicts tissue-specific RNA splicing with high accuracy, revealing splicing's role in pathogenic mutations and aiding clinical interpretations. [ABSTRACT FROM AUTHOR]

Powdery mildew (PM) poses an extreme threat to wheat yields and quality. In this study, 262 recombinant inbred lines (RILs) of Doumai and Shi 4185 cross were used to map PM resistance genes across four environments. High-density genetic linkage map of the Doumai/Shi 4185 RIL population was constructed using the wheat Illumina iSelect 90K single-nucleotide polymorphism (SNP) array. In total, four stable quantitative trait loci (QTLs) for PM resistance, QPm.caas-2AS, QPm.caas-4AS, QPm.caas-4BL, and QPm.caas-6BS, were detected and explained 5.6%-15.6% of the phenotypic variances. Doumai contributed all the resistance alleles of QPm.caas-2AS, QPm.caas-4AS, QPm.caas-4BL, and QPm.caas-6BS. Among these, QPm.caas-4AS and QPm.caas-6BS overlapped with the previously reported loci, whereas QPm.caas-2AS and QPm.caas-4BL are potentially novel. In addition, six highconfidence genes encoding the NBS-LRR-like resistance protein, disease resistance protein family, and calcium/calmodulin-dependent serine/threonine-kinase were selected as the candidate genes for PM resistance. Three kompetitive allele-specific PCR (KASP) markers, Kasp_PMR_2AS for QPm.caas-2AS, Kasp_PMR_4BL for QPm.caas-4BL, and Kasp_PMR_6BS for QPm.caas-6BS, were developed, and their genetic effects were validated in a natural population including 100 cultivars. These findings will offer valuable QTLs and available KASP markers to enhance wheat marker-assisted breeding for PM resistance. [ABSTRACT FROM AUTHOR]

Background: Major histocompatibility complex class-1-related protein (MR1), unlike human leukocyte antigen (HLA) class-1, was until recently considered to be monomorphic. MR1 presents metabolites in the context of host responses to bacterial infection. MR1-restricted TCRs specific to tumor cells have been described, raising interest in their potential therapeutic application for cancer treatment. The diversity of MR1-ligand biology has broadened with the observation that single nucleotide variants (SNVs) exist within MR1 and that allelic variants can impact host immunity. Methods: The TCR from a MR1-restricted T-cell clone, MC.7.G5, with reported cancer specificity and pan-cancer activity, was cloned and expressed in Jurkat E6.1 TCRab-b2M-CD8+ NF-kB:CFP NFAT:eGFP AP-1:mCherry cells or in human donor T cells. Functional activity of 7G5. TCR-T was demonstrated using cytotoxicity assays and by measuring cytokine release after co-culture with cancer cell lines with or without loading of previously described MR1 ligands. MR1 allele sequencing was undertaken after the amplification of the MR1 gene region by PCR. In vivo studies were undertaken at Labcorp Drug Development (Ann Arbor, MI, USA) or Epistem Ltd (Manchester, UK). Results: The TCR cloned from MC.7.G5 retained MR1-restricted functional cytotoxicity as 7G5. TCR-T. However, activity was not pan-cancer, as initially reported with the clone MC.7.G5. Recognition was restricted to cells expressing a SNV of MR1 (MR1*04) and was not cancer-specific. 7G5. TCR-T and 7G5-like TCR-T cells reacted to both cancer and healthy cells endogenously expressing MR1*04 SNVs, which encode R9H and H17R substitutions. This allelic specificity could be overcome by expressing supraphysiological levels of the wild-type MR1 (MR1*01) in cell lines. Conclusions: Healthy individuals harbor T cells reactive to MR1 variants displaying self-ligands expressed in cancer and benign tissues. Described "cancer-specific" MR1-restricted TCRs need further validation, covering conserved allomorphs of MR1. Ligands require identification to ensure targeting MR1 is restricted to those specific to cancer and not normal tissues. For the wider field of immunology and transplant biology, the observation that MR1*04 may behave as an alloantigen warrants further study. [ABSTRACT FROM AUTHOR]

Purpose: Developing innovative precision and personalized cancer therapeutics is essential to enhance cancer survivability, particularly for prevalent cancer types such as colorectal cancer. This study aims to demonstrate various approaches for discovering new targets for precision therapies using artificial intelligence (AI) on a Polish cohort of colorectal cancer patients. Methods: We analyzed 71 patients with histopathologically confirmed advanced resectional colorectal adenocarcinoma. Whole exome sequencing was performed on tumor and peripheral blood samples, while RNA sequencing (RNAseq) was conducted on tumor samples. We employed three approaches to identify potential targets for personalized and precision therapies. First, using our in-house neoantigen calling pipeline, ARDentify, combined with an AI-based model trained on immunopeptidomics mass spectrometry data (ARDisplay), we identified neoepitopes in the cohort. Second, based on recurrent mutations found in our patient cohort, we selected corresponding cancer cell lines and utilized knock-out gene dependency scores to identify synthetic lethality genes. Third, an AI-based model trained on cancer cell line data was employed to identify cell lines with genomic profiles similar to selected patients. Copy number variants and recurrent single nucleotide variants in these cell lines, along with gene dependency data, were used to find personalized synthetic lethality pairs. Results: We identified approximately 8,700 unique neoepitopes, but none were shared by more than two patients, indicating limited potential for shared neoantigenic targets across our cohort. Additionally, we identified three synthetic lethality pairs: the well-known APC-CTNNB1 and BRAF-DUSP4 pairs, along with the recently described APC-TCF7L2 pair, which could be significant for patients with APC and BRAF variants. Furthermore, by leveraging the identification of similar cancer cell lines, we uncovered a potential gene pair, VPS4A and VPS4B, with therapeutic implications. Conclusion: Our study highlights three distinct approaches for identifying potential therapeutic targets in cancer patients. Each approach yielded valuable insights into our cohort, underscoring the relevance and utility of these methodologies in the development of precision and personalized cancer therapies. Importantly, we developed a novel AI model that aligns tumors with representative cell lines using RNAseq and methylation data. This model enables us to identify cell lines closely resembling patient tumors, facilitating accurate selection of models needed for in vitro validation. [ABSTRACT FROM AUTHOR]

The document discusses the use of enasidenib in treating relapsed aggressive systemic mastocytosis with an IDH2 mutation. It highlights the clinical manifestations of ASM, the importance of mutational profiling studies, and the efficacy of enasidenib in achieving complete remission in a patient with relapsed IDH2-mutated ASM. The text emphasizes the need for further research on the use of enasidenib in ASM treatment and the potential role it may play in the evolving therapeutic landscape for this condition. [Extracted from the article]

Background: Certain structural variants (SVs) including large-scale genetic copy number variants, as well as copy number-neutral inversions and translocations may not all be resolved by chromosome karyotype studies. The identification of genetic risk factors for Parkinson's disease (PD) has been primarily focused on the gene-disruptive single nucleotide variants. In contrast, larger SVs, which may significantly influence human phenotypes, have been largely underexplored. Optical genomic mapping (OGM) represents a novel approach that offers greater sensitivity and resolution for detecting SVs. In this study, we used induced pluripotent stem cell (iPSC) lines of patients with PD-linked SNCA and PRKN variants as a proof of concept to (i) show the detection of pathogenic SVs in PD with OGM and (ii) provide a comprehensive screening of genetic abnormalities in iPSCs. Results: OGM detected SNCA gene triplication and duplication in patient-derived iPSC lines, which were not identified by long-read sequencing. Additionally, various exon deletions were confirmed by OGM in the PRKN gene of iPSCs, of which exon 3–5 and exon 2 deletions were unable to phase with conventional multiplex-ligation-dependent probe amplification. In terms of chromosomal abnormalities in iPSCs, no gene fusions, no aneuploidy but two balanced inter-chromosomal translocations were detected in one line that were absent in the parental fibroblasts and not identified by routine single nucleotide variant karyotyping. Conclusions: In summary, OGM can detect pathogenic SVs in PD-linked genes as well as reveal genomic abnormalities for iPSCs that were not identified by other techniques, which is supportive for OGM's future use in gene discovery and iPSC line screening. [ABSTRACT FROM AUTHOR]

Shiga toxin-producing Escherichia coli (STEC) can cause mild diarrhea even severe hemolytic uremic syndrome (HUS). Shiga toxin (Stx) is the primary virulence factor. Two Stx types and several subtypes have been identified. STEC strains encoding stx2f (Stx2f-STECs) are frequently identified from pigeons. Stx2f was initially considered to be associated with mild symptoms, more recently Stx2f-STECs have been isolated from HUS cases, indicating their pathogenic potential. Here, we investigated the prevalence of Stx2f-STECs among domestic pigeons in two regions in China, characterized the strains using whole-genome sequencing (WGS), and assessed the Stx2f transcriptions. Thirty-two Stx2f-STECs (4.36%) were culture-positive out of 734 fecal samples (one strain per sample). No other stx subtype-containing strain was isolated. Four serotypes and two sequence types were determined, and a novel sequence type ST15057 was identified. All strains harbored the E. coli attaching and effacing gene eae. Two types of Stx2f prophages were assigned. Stx2f-STECs showed variable Stx transcription levels induced by mitomycin C. Whole genome single-nucleotide polymorphism (wgSNP) analysis revealed different genetic backgrounds between pigeon-derived strains and those from diarrheal or HUS patients. In contrast, pigeon-derived Stx2f-STECs from diverse regions exhibited genetic similarity. Our study reports the prevalence and characteristics of Stx2f-STECs from pigeons in China. The pigeon-derived strains might pose low public health risk. [ABSTRACT FROM AUTHOR]

The calmodulin-binding transcription activator (CAMTA) family contributes to stress responses in many plant species. The Oryza sativa ssp. japonica genome harbors seven CAMTA genes; however, intraspecific variation and functional roles of this gene family have not been determined. Here, we comprehensively evaluated the structure and characteristics of the CAMTA genes in japonica rice using bioinformatics approaches and RT-qPCR. Within the CAMTA gene and promoter sequences, 527 single nucleotide polymorphisms were retrieved from 3,024 rice accessions. The CAMTA genes could be subdivided into 5–14 haplotypes. Association analyses between haplotypes and phenotypic traits, such as grain weight and salt stress parameters, identified phenotypic differences between rice subpopulations harboring different CAMTA haplotypes. Co-expression analyses and the identification of CAMTA-specific binding motifs revealed candidate genes regulated by CAMTA. A Gene Ontology functional enrichment analysis of 690 co-expressed genes revealed that CAMTA genes have key roles in defense responses. An interaction analysis identified 30 putative CAMTA interactors. Three genes were identified in co-expression and interaction network analyses, suggesting that they are potentially regulated by CAMTAs. Based on all information obtained together with the phenotypes of the CRISPR-Cas9 knockout mutant lines of three OskCAMTA genes generated, CAMTA1 likely plays important roles in the response to salt stress in rice. Overall, our findings suggest that the CAMTA gene family is involved in development and the salt stress response and reveal candidate target genes, providing a basis for further functional characterization. [ABSTRACT FROM AUTHOR]

Malaria remains a key health and economic problem, particularly in sub-Saharan Africa. The emergence of artemisinin drug resistance (ART-R) parasite strains poses a serious threat to the control and elimination of this scourge. This is because artemisinin-based combination therapies (ACTs) remain the first-line treatment in the majority of malaria-endemic regions in Sub-Saharan Africa. Certain single-nucleotide polymorphisms in the propeller domains of Plasmodium falciparum Kelch 13 protein (K13) have been associated with delayed parasite clearance in vivo and in vitro. These mutations serve as vital molecular markers for tracking the emergence and dispersion of resistance. Recently, there have been increasing reports of the emergence and spread of P. falciparum ART-R parasites in the Eastern Africa region. This necessitates continued surveillance to best inform mitigation efforts. This study investigated the presence of all reported mutations of K13 propeller domains in the parasite population in Busia County, Kenya, a known malaria-endemic region. Two hundred twenty-six participants with microscopically confirmed uncomplicated malaria were recruited for this study. They were treated with artemether–lumefantrine under observation for the first dose, and microscopic examination was repeated 1 day later after ensuring the participants had taken the second and third doses. P. falciparum DNA from all samples underwent targeted amplification of the K13 gene using a semi-nested PCR approach, followed by Sanger sequencing. The recently validated ART-R K13 mutation C469Y was identified in three samples. These three samples were among 63 samples with a low reduction in parasitemia on day 1, suggesting day 1 parasitemia reduction rate is a useful parameter to enrich the ART-R parasites for further analysis. Our findings highlight the need for continuous surveillance of ART-R in western Kenya and the region to determine the spread of ART-R and inform containment. [ABSTRACT FROM AUTHOR]

This longitudinal study characterized Salmonella circulating in lymph nodes (LN, n = 800) and beef trimmings (n = 745) from slaughter cattle from a Mexican feedlot. During two years, LN and beef trimming samples were collected 72–96 h post-slaughter, and we obtained 77 isolates of the serovars Anatum (n = 23), Reading (n = 22), Typhimurium (n = 10), London (n = 9), Kentucky (n = 6), Fresno (n = 4), Give, Muenster, and monophasic 1,4,[5],12:i- (n = 1 each). These isolates were subjected to whole genome sequencing, single-nucleotide polymorphism (SNP)-based phylogenetic analysis, reconstruction of their ancestral isolation sources through evolutionary analysis, and virulence profiling. Although LN and beef trimmings were not mixed, evolutionary analysis estimated that the common ancestor of all study isolates was likely of LN origin. Moreover, isolates from both sources were highly clonal (0–21 SNP distance), highlighting the complexity of Salmonella transmission dynamics. The pathogen persisted across cattle cohorts, as shown by clonality between isolates collected in different years (1–20 SNP distance). Major virulence genes were highly conserved (97–100% identity to the reference sequences) and most isolates carried a conserved version of pathogenicity islands 1–5, 9, 11, and 12. Typhimurium strains carried the Salmonella plasmid virulence operon (spvRABCD), and a Muenster isolate carried the st313td gene, both of which are associated with invasive phenotypes. Most isolates (49/77) were genetically similar (1–43 SNPs) to strains involved in human salmonellosis, highlighting their public health significance. Further research is needed on Salmonella transmission dynamics in cattle and the mechanisms determining subclinical infection and persistence in farm environments. [ABSTRACT FROM AUTHOR]

Developing lettuce varieties with salt tolerance at the seed germination stage is essential since lettuce seeds are planted half an inch deep in soil where salt levels are often highest in the salinity-affected growing regions. Greater knowledge of genetics and genomics of salt tolerance in lettuce will facilitate breeding of improved lettuce varieties with salt tolerance. Accordingly, we conducted a genome-wide association study (GWAS) in lettuce to identify marker-trait association for salt tolerance at the seed germination stage. The study involved 445 diverse lettuce accessions and 56,820 single nucleotide polymorphism (SNP) markers obtained through genotype-by-sequencing technology using lettuce reference genome version v8. GWAS using two single-locus and three multi-locus models for germination rate (GR) under salinity stress, 5 days post seeding (GR5d_S) and a salinity susceptibility index (SSI) based on GR under salinity stress and control conditions, 5 days post seeding (SSI_GR5d) revealed 10 significant SNPs on lettuce chromosomes 2, 4, and 7. The 10 SNPs were associated with five novel QTLs for salt tolerance in lettuce, explaining phenotyping variations of 5.85%, 4.38%, 4.26%, 3.77%, and 1.80%, indicating the quantitative nature of these two salt tolerance-related traits. Using the basic local alignment search tool (BLAST) within 100 Kb upstream and downstream of each of the 10 SNPs, we identified 25 salt tolerance-related putative candidate genes including four genes encoding for major transcription factors. The 10 significant salt tolerance-related SNPs and the 25 candidate genes identified in the current study will be a valuable resource for molecular marker development and marker-assisted selection for breeding lettuce varieties with improved salt tolerance at the seed germination stage. [ABSTRACT FROM AUTHOR]

RNA-binding proteins (RBPs) regulate translation and plasticity which are required for memory. RBP dysfunction has been linked to a range of neurological disorders where cognitive impairments are a key symptom. However, of the 2,000 RBPs in the human genome, many are uncharacterized with regards to neurological phenotypes. To address this, we used the model organism C. elegans to assess the role of 20 conserved RBPs in memory. We identified eight previously uncharacterized memory regulators, three of which are in the C. elegansY-Box (CEY) RBP family. Of these, we determined that cey-1 is the closest ortholog to the mammalian Y-Box (YBX) RBPs. We found that CEY-1 is both necessary in the nervous system for memory ability and sufficient to promote memory. Leveraging human datasets, we found both copy number variation losses and single nucleotide variants in YBX1 and YBX3 in individuals with neurological symptoms. We identified one predicted deleterious YBX3 variant of unknown significance, p.Asn127Tyr, in two individuals with neurological symptoms. Introducing this variant into endogenous cey-1 locus caused memory deficits in the worm. We further generated two humanized worm lines expressing human YBX3 or YBX1 at the cey-1 locus to test evolutionary conservation of YBXs in memory and the potential functional significance of the p.Asn127Tyr variant. Both YBX1/3 can functionally replace cey-1, and introduction of p.Asn127Tyr into the humanized YBX3 locus caused memory deficits. Our study highlights the worm as a model to reveal memory regulators and identifies YBX dysfunction as a potential new source of rare neurological disease. Author summary: Memory relies on RNA translation, often controlled by RNA-binding proteins (RBPs). RBP dysfunction has been linked to memory issues in many neurological diseases. Here, we take advantage of the model organism Caenorhabditis elegans to determine the role of 20 RBPs in memory. We identify eight new memory regulators, including members of the CEY RBP family, which are closely related to the human YBX RBPs. We found that CEY-1 is required for memory in C. elegans and enhances memory when overexpressed. Taking advantage of human genome sequencing data, we found three individuals with the same genetic variant in YBX3, two of which have neurological symptoms including intellectual disability. Introducing this same variant into the CEY-1 protein caused memory deficits, suggesting the variant may cause dysfunction in vivo. To confirm this in the context of the mammalian genes, we made C. elegans that express the YBX3 variant protein instead of CEY-1 to model the functional consequences of the human YBX3 variant. Again, we observed memory deficits. Our study shows the utility of C. elegans in discovering new memory-regulating RBPs and highlights a potentially conserved role for the CEY/YBX proteins in memory. Moreover, our findings suggest that dysfunction in the YBX RBPs may contribute to human neurological disease, beckoning future human and mammalian studies. [ABSTRACT FROM AUTHOR]

AbstractThe association between the MCM6-13910-C/T polymorphism and lactose intolerance in individuals of European descent is well known. However, the notion that having a single versus a double allelic mutation might influence one’s phenotype has been hypothesized. This study investigated whether patients with the three genotypes C/C, C/T, T/T differed in response to a lactose tolerance test (LTT) in a Danish setting. Anonymized data on 603 individuals with results for both genetic test and LTT were investigated. Mean delta glucose values were plotted for the time points of the LTT (0, 15, 30, 45 and 60 min) for the C/C, C/T and T/T genotype, respectively. Further, the agreement between the three genotypes and the diagnostic interpretation of the LTT were examined using a cut-off of > 1.4 mmol/L rise in glucose. In subjects with the C/C genotype, mean glucose delta levels were markedly lower compared to both the C/T and T/T genotypes at all time points. Overall, a difference between mean glucose delta values among the C/T and T/T genotype could not be shown. Using a LTT cut-off of > 1.4 mmol/L, the proportions of lactose intolerant LTT results for each genotype were as follows: 58% among C/C, 5% among C/T, and 7% among T/T. In a Danish healthcare setting, the C/C genotype was on average associated with a smaller glucose response during a LTT when compared to the C/T and T/T genotypes. A marked difference in the LTT response among the C/T and T/T genotype was not observed. [ABSTRACT FROM AUTHOR]