Set Of Markers Research Articles

Discovering life's directed metabolic (sub)paths to interpret human biochemical markers using the DSMN tool

The Directed Small Molecules Network (DSMN) represents an unweighted, directed, labeled bipartite property graph database, created by integrating several resources for human metabolic reactions through ontological linking.

Association of latent factors of neuroinflammation with Alzheimer's disease pathology and longitudinal cognitive decline.

We investigated the association of inflammatory mechanisms with markers of Alzheimer's disease (AD) pathology and rates of cognitive decline in the AD spectrum. We studied 296 cases from the Deutsches Zentrum für Neurodegenerative Erkrankungen Longitudinal Cognitive Impairment and Dementia Study (DELCODE) cohort, and an extension cohort of 276 cases of the Alzheimer's Disease Neuroimaging Initiative study. Using Bayesian confirmatory factor analysis, we constructed latent factors for synaptic integrity, microglia, cerebrovascular endothelial function, cytokine/chemokine, and complement components of the inflammatory response using a set of inflammatory markers in cerebrospinal fluid. We found strong evidence for an association of synaptic integrity, microglia response, and cerebrovascular endothelial function with a latent factor of AD pathology and with rates of cognitive decline. We found evidence against an association of complement and cytokine/chemokine factors with AD pathology and rates of cognitive decline. Latent factors provided access to directly unobservable components of the neuroinflammatory response and their association with AD pathology and cognitive decline.

New Set of EST-STR Markers for Discrimination of Related Papaver somniferum L. Varieties.

Papaver somniferum L. is cultivated for its edible seeds and for the production of alkaloids. A serious problem in seed trade and processing is the intentional mixing of excellent food-quality seeds with non-food-grade-quality seeds. Tracking the correct or illegitimate handling of seeds requires an efficient method for discrimination and individualization of poppy varieties. As in human and animal forensics, DNA variable regions containing short tandem repeats (STRs) located either in non-coding DNA or in gene sequences (EST-STRs) are preferred markers for discrimination between genotypes. Primers designed for 10 poppy EST-STR loci not analyzed so far were tested for their discriminatory ability on a set of 23 related P. somniferum L. genotypes. Thirty-three EST-STR alleles were identified together. Their polymorphic information content (PIC) values were in the range of 0.175-0.649. The PI value varied in the range of 0.140-0.669, and the cumulative PI was 1.2 × 10-5. PIsibs values varied between 0.436 and 0.820 and the cumulative value was lower (5.0 × 10-3). All analyzed genotypes were distinguished mutually, each with its own unique EST-STR profile. These newly developed EST-STR markers more effectively discriminated P. somniferum L. genotypes, even those genotypes whose DNA profiles were previously identical.

Results Obtained from a Pivotal Validation Trial of a Microsatellite Analysis (MSA) Assay for Bladder Cancer Detection through a Statistical Approach Using a Four-Stage Pipeline of Modern Machine Learning Techniques.

Several studies have shown that microsatellite changes can be profiled in urine for the detection of bladder cancer. The use of microsatellite analysis (MSA) for bladder cancer detection requires a comprehensive analysis of as many as 15 to 20 markers, based on the amplification and interpretations of many individual MSA markers, and it can be technically challenging. Here, to develop fast, more efficient, standardized, and less costly MSA for the detection of bladder cancer, we developed three multiplex-polymerase-chain-reaction-(PCR)-based MSA assays, all of which were analyzed via a genetic analyzer. First, we selected 16 MSA markers based on 9 selected publications. Based on samples from Johns Hopkins University (the JHU sample, the first set sample), we developed an MSA based on triplet, three-tube-based multiplex PCR (a Triplet MSA assay). The discovery, validation, and translation of biomarkers for the early detection of cancer are the primary focuses of the Early Detection Research Network (EDRN), an initiative of the National Cancer Institute (NCI). A prospective study sponsored by the EDRN was undertaken to determine the efficacy of a novel set of MSA markers for the early detection of bladder cancer. This work and data analysis were performed through a collaboration between academics and industry partners. In the current study, we undertook a re-analysis of the primary data from the Compass study to enhance the predictive power of the dataset in bladder cancer diagnosis. Using a four-stage pipeline of modern machine learning techniques, including outlier removal with a nonlinear model, correcting for majority/minority class imbalance, feature engineering, and the use of a model-derived variable importance measure to select predictors, we were able to increase the utility of the original dataset to predict the occurrence of bladder cancer. The results of this analysis showed an increase in accuracy (85%), sensitivity (82%), and specificity (83%) compared to the original analysis. The re-analysis of the EDRN study results using machine learning statistical analysis proved to achieve an appropriate level of accuracy, sensitivity, and specificity to support the use of the MSA for bladder cancer detection and monitoring. This assay can be a significant addition to the tools urologists use to both detect primary bladder cancers and monitor recurrent bladder cancer.

West Germanic diachronic constant: the case of negative constructions

This paper explores the common path of the sentence negation practice in the Early West Germanic languages. The prior idea is to find out the general set of markers, which implement the negation pattern. Our assumption is that West Germanic languages, as it has been shown in many papers, contrast with East Germanic and North Germanic languages by ways of negation marking. Our aim is to define the status of the grammatical phenomenon in question within the suggested period. Having assumed that all West Germanic languages may share a similar sentence negation pattern, we laid a special emphasis on their structural characteristics. We also hypothesize that gradual changes of this period were occurring due to the general rearrangement of these language system, which incurred the elimination of the redundant elements. According to Jespersen’s cycle, all the languages under consideration faced multiple negation, i.e., the phenomenon of negative concord (NEG-concord). The latter implies the that preverbal negative particles have been removed from the negation pattern both due to their weakening and the rise of the new supportive element, which originated from the independent structural unit wiht ‘thing’. The rise of the supportive element in the Early West Germanic languages is considered to be a part of the Common Germanic NEG-concord pattern. This lexical-grammatical element turned out to be the one that allowed further eliminating the multiple negation practice in West Germanic languages.

The Lotus angustissumus Group (Fabaceae): Can Phylogenetic Patterns Be Accommodated by a Taxonomic Concept?

The Lotus angustissimus group represents an example of obvious contradictions between the molecular and morphological data. This group includes from six to eight mostly annual species of Lotus section Lotus, with the center of species diversity in the Mediterranean. We performed a phylogenetic analysis of the genus Lotus with an expanded representation of all known species of the L. angustissimus group using both nuclear (nrITS) and a set of plastid DNA markers and compared the results with traditional taxonomy of this group. Our results demonstrated a non-monophyletic nature of the study group. In addition, the nrITS and plastid dataset tree topologies were incongruent with each other in both Bayesian and ML analyses. We revealed very complex phylogenetic relationships among the species of the group. Important results obtained in this study are: (1) genetic and geographical differentiation in the latitudinal direction (between L. angustissimus and L. praetermissus) and in the longitudinal direction among closely related accessions identified as L. castellanus, L. lourdes-santiagoi and L. palustris; (2) close genetic links between the Anatolian endemic L. macrotrichus and L. praetermissus from Eastern Europe and Central Asia; and (3) the hybrid nature of L. subbiflorus with L. parviflorus as its presumed male parent species. These results are discussed in the context of morphology, biogeography and taxonomy.

Efficient population representation with more genetic markers increases performance of a steelhead (Oncorhynchus mykiss) genetic stock identification baseline.

Genetic stock identification (GSI) is an important fisheries management tool to identify the origin of fish harvested in mixed stock fisheries. Periodic updates of genetic baselines can improve performance via the addition of unsampled or under-sampled populations and the inclusion of more informative markers. We used a combination of baselines to evaluate how population representation, marker number, and marker type affected the performance and accuracy of genetic stock assignments (self-assignment, bias, and holdout group tests) for steelhead (Oncorhynchus mykiss) in the Snake River basin. First, we compared the performance of an existing genetic baseline with a newly developed one which had a reduced number of individuals from more populations using the same set of markers. Self-assignment rates were significantly higher (p < 0.001; +5.4%) for the older, larger baseline, bias did not differ significantly between the two, but there was a significant improvement in performance for the new baseline in holdout results (p < 0.001; mean increase of 25.0%). Second, we compared the performance of the new baseline with increased numbers of genetic markers (~2x increase of single-nucleotide polymorphisms; SNPs) for the same set of baseline individuals. In this comparison, results produced significantly higher rates of self-assignment (p < 0.001; +9.7%) but neither bias nor leave-one-out were significantly affected. Third, we compared 334 SNPs versus opportunistically discovered microhaplotypes from the same amplicons for the new baseline, and showed the latter produced significantly higher rates of self-assignment (p < 0.01; +2.6%), similar bias, but slightly lower holdout performance (-0.1%). Combined, we show the performance of genetic baselines can be improved via representative and efficient sampling, that increased marker number consistently improved performance over the original baseline, and that opportunistic discovery of microhaplotypes can lead to small improvements in GSI performance.

Deployment of the Deliberative Model of Political Participation of EU Citizens in the Discourse of the European Democracy Future

The article investigates the process of deployment of the deliberative model of political participation of EU citizens in the discourse of the future of European democracy, which was officially defined by the EU at the organizational level (Conference on the Future of Europe), but the thematic content of the problem was not limited to any official documents, so every EU citizen got the opportunity to express an idea and participate in the discussion of the ideas of other subjects of deliberation at the first stage of the Conference (Multilingual digital platform). The study of the application of digital tools of political participation in the practices of deliberative democracy, applied during the Conference on the Future of Europe, proved that two formats of such tools were used: first, the format of the Multilingual Digital Platform functioned according to the digital model of the deployment of political participation; secondly, the format of the European Citizen Panels was based on a mixed model that combined the principles of digital and face-to-face communications in the deliberation process. At the same time, both formats most systematically reflect the nature of the transformation of the discursive model of political participation of EU citizens from dialogic to deliberative forms based on digital tools. The study of the forms of deliberation on the future of European democracy during the Conference on the Future of Europe and its results allows us to conclude that structurally, the problem of European democracy was defined by EU citizens as a set of interdependent dimensions promising for a common political agenda: elections to the European Parliament; EU federalization; political participation of citizens and consultations; institutional reforms; promotion of common European identity and common public space; protection and strengthening of democracy. The established set of markers, thematic areas and clusters of the deliberation of the future of democracy at the second European Citizen Panel was reflected in 39 guidelines proposed for the development of the final recommendations of the Conference: ensuring rights and (non)discrimination – 9 guidelines; protection of democracy and the rule of law – 5; reforming the EU – 10; formation of European identity – 9; citizens' participation – 6. In the final documents of the Conference, a consensus was reached on 5 proposals, which accumulated most of the recommendations of citizens regarding the future of European democracy, expressed during the deliberation process.

Development of a Gene-Based Marker Set for Orange-Colored Watermelon Flesh with a High β-Carotene Content.

The fruit flesh of watermelons differs depending on the distinct carotenoid composition. Orange-colored flesh relates to the accumulation of β-carotene, which is beneficial to human health. Canary-yellow-fleshed OTO-DAH and orange-β-fleshed (orange-fleshed with high β-carotene) NB-DAH near-isogenic lines (NILs) were used to determine the genetic mechanism attributed to orange watermelon flesh. For genetic mapping, an F2 population was developed by crossing the two NILs. The segregation ratio of flesh color in the F2 population indicated that the orange-β flesh of the NB-DAH NIL was controlled by a single incompletely dominant gene. Through a comparative analysis of the whole-genome sequences of the parent lines and NILs, a major introgression region unique to the NB-DAH NIL was detected on Chr. 1; this was considered a candidate region for harboring genes that distinguish orange from canary-yellow and red flesh. Among the 13 genes involved in the carotenoid metabolic pathway in watermelons, only ClPSY1 (ClCG01G008470), which encodes phytoene synthase 1, was located within the introgression region. The genotyping of F2 plants using a cleaved amplified polymorphic sequence marker developed from a non-synonymous SNP in ClPSY1 revealed its relationship with orange-β flesh. The insights gained in this study can be applied to marker-assisted breeding for this desirable trait.

Genomic prediction and allele mining of agronomic and morphological traits in pea (Pisum sativum) germplasm collections.

Well-performing genomic prediction (GP) models for polygenic traits and molecular marker sets for oligogenic traits could be useful for identifying promising genetic resources in germplasm collections, setting core collections, and establishing molecular variety distinction. This study aimed at (i) defining GP models and key marker sets for predicting 15 agronomic or morphological traits in germplasm collections, (ii) verifying the GP model usefulness also for selection in breeding programs, (iii) investigating the consistency between molecular and phenotypic diversity patterns, and (iv) identifying genomic regions associated with to the target traits. The study was based on phenotyping data and over 41,000 genotyping-by-sequencing-generated SNP markers of 220 landraces or old cultivars belonging to a world germplasm collection and 11 modern cultivars. Non-metric multi-dimensional scaling (NMDS) and an analysis of population genetic structure indicated a high level of genetic differentiation of material from Western Asia, a major West-East diversity gradient, and quite limited genetic diversity of the improved germplasm. Mantel's test revealed a low correlation (r = 0.12) between phenotypic and molecular diversity, which increased (r = 0.45) when considering only the molecular diversity relative to significant SNPs from genome-wide association analyses. These analyses identified, inter alia, several areas of chromosome 6 involved in a largely pleiotropic control of vegetative or reproductive organ pigmentation. We found various significant SNPs for grain and straw yield under severe drought and onset of flowering, and one SNP on chromosome 5 for grain protein content. GP models displayed moderately high predictive ability (0.43 to 0.61) for protein content, grain and straw yield, and onset of flowering, and high predictive ability (0.76) for individual seed weight, based on intra-population, intra-environment cross-validations. The inter-population, inter-environment assessment of the models trained on the germplasm collection for breeding material of three recombinant inbred line (RIL) populations, which was challenged by much narrower diversity of the material, over eight-fold less available markers and quite different test environments, led to an overall loss of predictive ability of about 40% for seed weight, 50% for protein content and straw yield, and 60% for onset of flowering, and no prediction for grain yield. Within-RIL population predictive ability differed among populations.

Cross species transferability of G-SSR and EST-SSR markers to Neltuma affinis Spreng.

Aim of study: To examine the transferability of G-SSR (genomic simple sequence repeats) and EST-SSR (expressed sequence tag simple sequence repeats) markers developed for several Neltuma species to N. affinis, a species with no genomic data. Area of study: West-Center of Entre Ríos province, Argentina. The set of molecular markers here proposed can be used to analyze samples from the entire species’ distribution range. Material and methods: Twenty-five genomic G-SSRs and eleven EST-SSRs from multiple species were amplified in thirty N. affinis genotypes. Polymorphism, discrimination power and possible deviations from Hardy-Weinberg equilibrium were assessed. Main results: Seventeen highly polymorphic G-SSRs were successfully transferred to N. affinis, with a PIC (polymorphic information content) average value of 0.811 and a He (expected heterozygosity) average value of 0.694; thirteen were validated, showing very low frequencies of null alleles and no linkage disequilibrium. Additionally, seven polymorphic EST-SSRs were transferred. As expected, PIC and He average values were low. Six out of seven markers were validated, and very low frequencies of null alleles and no linkage disequilibrium were observed. Research highlights: This work provides information on the levels of microsatellites’ cross transferability to N. affinis, and its polymorphism degree. Two sets of polymorphic SSRs (genomic and expressed) to study the genetic status of the species are proposed.

Discourse markers in Spanish in the Tijuana-San Diego border area

Abstract This study examines the use of discourse markers among speakers of Spanish residing in Tijuana, Mexican immigrants in San Diego, and heritage Spanish speakers in San Diego. We find a core set of discourse markers that is common to all speakers, as well as subsets of discourse markers for Tijuana, San Diego immigrant, and San Diego heritage speakers. Four English discourse markers are attested in the border: okay as a general, established borrowing; so only among immigrant and heritage speakers; and like and you know only among heritage speakers. In a language-contact situation, discourse markers whose lexical content is less analyzable and whose functions are more operational detach first from the pragmatically-dominant language (Matras 1998). We find that the operational properties of okay, like, and you know make them borrowable into the Spanish of the border. However, so is borrowed in San Diego with operational and content-related features by heritage speakers, and with content-related features only by immigrant speakers.

Development of fecal microbial diagnostic marker sets of colorectal cancer using natural language processing method.

Cancer screening and early detection greatly increase the chances of successful treatment. However, most cancer types lack effective early screening biomarkers. In recent years, natural language processing (NLP)-based text-mining methods have proven effective in searching the scientific literature and identifying promising associations between potential biomarkers and disease, but unfortunately few are widely used. In this study, we used an NLP-enabled text-mining system, MarkerGenie, to identify potential stool bacterial markers for early detection and screening of colorectal cancer. After filtering markers based on text-mining results, we validated bacterial markers using multiplex digital droplet polymerase chain reaction (ddPCR). Classifiers were built based on ddPCR results, and sensitivity, specificity, and area under the curve (AUC) were used to evaluate the performance. A total of 7 of the 14 bacterial markers showed significantly increased abundance in the stools of colorectal cancer patients. A five-bacteria classifier for colorectal cancer diagnosis was built, and achieved an AUC of 0.852, with a sensitivity of 0.692 and specificity of 0.935. When combined with the fecal immunochemical test (FIT), our classifier achieved an AUC of 0.959 and increased the sensitivity of FIT (0.929 vs. 0.872) at a specificity of 0.900. Our study provides a valuable case example of the use of NLP-based marker mining for biomarker identification.

Bronchoalveolar cytokine profile differentiates Pulmonary Langerhans cell histiocytosis patients from other smoking-related interstitial lung diseases

BackgroundPulmonary Langerhans cell histiocytosis (PLCH) is a rare interstitial lung disease (ILD) associated with smoking, whose definitive diagnosis requires the exclusion of other forms of ILD and a compatible surgical lung biopsy. Bronchoalveolar lavage (BAL) is commonly proposed for the diagnosis of ILD, including PLCH, but the diagnostic value of this technique is limited. Here, we have analyzed the levels of a panel of cytokines and chemokines in BAL from PLCH patients, in order to identify a distinct immune profile to discriminate PLCH from other smoking related-ILD (SR-ILD), and comparing the results with idiopathic pulmonary fibrosis (IPF) as another disease in which smoking is considered a risk factor.MethodsBAL samples were collected from thirty-six patients with different ILD, including seven patients with PLCH, sixteen with SR-ILD and thirteen with IPF. Inflammatory profiles were analyzed using the Human Cytokine Membrane Antibody Array. Principal component analysis (PCA) was performed to reduce dimensionality and protein–protein interaction (PPI) network analysis using STRING 11.5 database were conducted. Finally, Random forest (RF) method was used to build a prediction model.ResultsWe have found significant differences (p < 0.05) on thirty-two cytokines/chemokines when comparing BAL from PLCH patients with at least one of the other ILD. Four main groups of similarly regulated cytokines were established, identifying distinct sets of markers for each cluster. Exploratory analysis using PCA (principal component analysis) showed clustering and separation of patients, with the two first components capturing 69.69% of the total variance. Levels of TARC/CCL17, leptin, oncostatin M (OSM) and IP-10/CXCL10 were associated with lung function parameters, showing positive correlation with FVC. Finally, random forest (RF) algorithm demonstrates that PLCH patients can be differentiated from the other ILDs based solely on inflammatory profile (accuracy 96.25%).ConclusionsOur results show that patients with PLCH exhibit a distinct BAL immune profile to SR-ILD and IPF. PCA analysis and RF model identify a specific immune profile useful for discriminating PLCH.

Indexicals under role shift in Sign Language of the Netherlands

When reporting utterances, signers often use a construction known as quotation roleshift (RS), where the signer embodies the author of the report while making use of adedicated set of non-manual markers (RS-NMMs). First (IX-1) and second (IX-2) personpronouns in those constructions are often observed to shift their meaning to refer to thereported author and the addressee. This article focuses on the behavior of these pronounsin Sign Language of the Netherlands. We designed an experiment targeting theinterpretation of IX-1 and IX-2 under RS-NMMs. Results obtained from 13 participantsshow that, while IX-2 is sensitive to RS-NMMs, the interpretation of IX-1 varies acrosssigners but is not influenced by RS-NMMs. Building upon distinctive phonological, lexicaland interpretive properties of these pronouns, we argue that the interpretation ofIX-2 behaves as a genuine shifted indexical, while IX-1 is better analyzed as a logophor.

Identification of diagnostic KASP‐SNP markers for routine breeding activities in yam (Dioscorea spp.)

AbstractMaintaining genetic purity and true‐to‐type clone identification are important action steps in breeding programs. This study aimed to develop a universal set of kompetitive allele‐specific polymerase chain reaction (KASP)‐based single nucleotide polymorphism (SNP) markers for routine breeding activities. Ultra‐low‐density SNP markers were created using an initial set of 173,675 SNPs that were obtained from whole‐genome resequencing of 333 diverse white Guinea yam (Dioscorea rotundata Poir) genotypes. From whole‐genome resequencing data, 99 putative SNP markers were found and successfully converted to high‐throughput KASP genotyping assays. The markers set was validated on 374 genotypes representing six yam species. Out of the 99 markers, 50 were highly polymorphic across the species and could distinguish different yam species and pedigree origins. The selected SNP markers classified the validation population based on the different yam species and identified potential duplicates within yam species. Through penalized analysis, the male parent of progenies involved in polycrosses was successfully predicted and validated. Our research was a trailblazer in validating KASP‐based SNP assays for species identification, parental fingerprinting, and quality control (QC) and quality assurance (QA) in yam breeding programs.

Comparison of plugin and redundant marker sets to analyze gait kinematics between different populations

BackgroundGait model consists of a marker set and a segment pose estimation algorithm. Plugin marker set and inverse kinematic algorithm (IK.) are prevalent in gait analysis, especially musculoskeletal motion analysis. Adding extra markers for the plugin marker set could increase the robustness to marker misplacement, motion artifacts, and even markers occlusion. However, how the different marker sets affect the gait analysis's kinematic output is unclear. Therefore, this study aims to investigate the effect of marker sets on the kinematic output during level walking in different populations.ResultsIn all three planes, there are significant differences (P < 0.05) between marker sets in some kinematic variables at the hip, knee, and ankle. In different populations, the kinematic variables that show significant differences varied. When comparing the kinematic differences between populations using the two marker sets separately, the range of motion (ROM) of hip flexion was only found to be a significant difference using the redundant marker set, while the peak internal rotation at the knee was only found a significant difference using plugin marker set. In addition, the redundant marker set shows less intra-subject variation than the plugin marker set.ConclusionThe findings in this study demonstrate the importance of marker set selection since it could change the result when comparing the kinematic differences between populations. Therefore, it is essential to increase the caution in explaining the result when using different marker sets. It is crucial to use the same marker set, and the redundant marker set might be a better choice for gait analysis.

Development of novel specific molecular markers for the Sw-5b gene to assist with tomato spotted wilt virus-resistant tomato breeding

Tomato spotted wilt virus (TSWV) is a plant pathogen that causes devastating tomato yield losses worldwide. The Sw-5b gene is one of the most effective resistance genes for TSWV control in tomato plants, and has been widely used in resistance breeding. Molecular markers are specific DNA sequences with known locations on the chromosome; they are indispensable tools in marker-assisted selection, which detects the presence of target genes to expedite breeding. We developed gene-specific molecular markers for Sw-5b to facilitate the accurate distinction of resistance (Sw-5bR) and susceptibility (Sw-5bS) alleles of Sw-5b. Using these markers, we successfully detected Sw-5b and determined its genotype (homozygous Sw-5bR, heterozygous Sw-5bR/S, or homozygous Sw-5bS) in six tomato varieties. Then we successfully applied these markers to 46 commercial tomato cultivars to detect and determine the genotype of Sw-5b. The results revealed a striking absence of the Sw-5bR gene and high TSWV susceptibility among most of the analyzed commercial cultivars. With the assistance of the novel Sw-5b-specific molecular markers, we generated a TSWV-resistant and homozygous Sw-5bR Micro-Tom tomato line, demonstrating the practical application of these markers in plant breeding. In summary, we developed novel gene-specific molecular markers for Sw-5b, and applied them to distinguish Sw-5b alleles for TSWV resistance or susceptibility. This marker set provides a valuable tool for breeding TSWV-resistant tomato varieties.

Metabolome profile variation in Azolla filiculoides exposed to Bisphenol A assists in the identification of stress-responsive metabolites

This study attempted to explore the metabolome profile of Azolla filiculoides subjected to two different concentrations of BPA (1 and 30 mg L−1) in congruence with two different durations (3 and 9 days) of treatment. Bisphenol A (BPA) is a ubiquitously occurring environmental pollutant that imparts acute toxicity in aquatic plants. Therefore, studying the variations in the fern metabolome profile and identifying stress-responsive metabolites can help develop criteria for assessing the aquatic ecosystem. In recent times, metabolomics has drawn attention for its ability to detect biochemical processes and help link plant responses with environmental stresses. However, the studies concerning the metabolome profile of A. filiculoides exposed to environmental contaminants are limited. In the present study, the untargeted metabolomics study allowed the detection of a large array of metabolites, with 767 shared metabolites representing 41 crucial pathways. Exposure to 30 mg L−1 BPA seemingly disrupted the primary metabolism of the fern and induced a shift toward defense-related pathways. Additionally, BPA stress triggered the expression of metabolites like 3,4-dihydroxyphenylglycol, perillic acid, and perillaldehyde in BPA_L3 (1 mg L−1 for 3 days) and BPA_L9 (1 mg L−1 for 9 days) samples indicating protective mechanism of the plants. Conversely, the BPA_H3 (30 mg L−1 for 3 days) and BPA_H9 (30 mg L−1 for 9 days) samples expressed a distinct set of markers like luteolin, 3-hydroxyanthranilic acid, cinnamaldehyde, and l-DOPA indicating the onset of senescence and apoptosis related pathways can help in the health assessment of freshwater ecosystems and also appraisal of ecotoxicological risks imposed by BPA.

Movement Component Analysis of Reaching Strategies in Individuals With Stroke: Preliminary Study.

Upper limb motor paresis is a major symptom of stroke, which limits activities of daily living and compromises the quality of life. Kinematic analysis offers an in-depth and objective means to evaluate poststroke upper limb paresis, with anticipation for its effective application in clinical settings. This study aims to compare the movement strategies of patients with hemiparesis due to stroke and healthy individuals in forward reach and hand-to-mouth reach, using a simple methodology designed to quantify the contribution of various movement components to the reaching action. A 3D motion analysis was conducted, using a simplified marker set (placed at the mandible, the seventh cervical vertebra, acromion, lateral epicondyle of the humerus, metacarpophalangeal [MP] joint of the index finger, and greater trochanter of the femur). For the forward reach task, we measured the distance the index finger's MP joint traveled from its starting position to the forward target location on the anterior-posterior axis. For the hand-to-mouth reach task, the shortening of the vertical distance between the index finger MP joint and the position of the chin at the start of the measurement was measured. For both measurements, the contributions of relevant upper limb and trunk movements were calculated. A total of 20 healthy individuals and 10 patients with stroke participated in this study. In the forward reach task, the contribution of shoulder or elbow flexion was significantly smaller in participants with stroke than in healthy participants (mean 52.5%, SD 24.5% vs mean 85.2%, SD 4.5%; P<.001), whereas the contribution of trunk flexion was significantly larger in stroke participants than in healthy participants (mean 34.0%, SD 28.5% vs mean 3.0%, SD 2.8%; P<.001). In the hand-to-mouth reach task, the contribution of shoulder or elbow flexion was significantly smaller in participants with stroke than in healthy participants (mean 71.8%, SD 23.7% vs mean 90.7%, SD 11.8%; P=.009), whereas shoulder girdle elevation and shoulder abduction were significantly larger in participants with stroke than in healthy participants (mean 10.5%, SD 5.7% vs mean 6.5%, SD 3.0%; P=.02 and mean 16.5%, SD 18.7% vs mean 3.0%, SD 10.4%; P=.02, respectively). Compared with healthy participants, participants with stroke achieved a significantly greater distance via trunk flexion in the forward reach task and shoulder abduction and shoulder girdle elevation in the hand-to-mouth reach task, both of these differences are regarded as compensatory movements. Understanding the characteristics of individual motor strategies, such as dependence on compensatory movements, may contribute to tailored goal setting in stroke rehabilitation.