Cluster Of Markers Research Articles

Comparison of scapular position in elite tennis players with and without shoulder impingement: A case-control study.

To maximize the ball velocity in the tennis sever, the shoulder plays a key role in the kinetic chain. But shoulder inefficiency leads to shoulder injuries such as shoulder impingement syndrome (SIS). Thus, to verify the scapular movements during the tennis serve could help prevent shoulder injury in tennis players. This case-control study aimed to verify the scapular movements during flat first serve for elite tennis players with shoulder impingement syndrome compared to those without it. Eight elite tennis players (4 males and 4 females) with SIS and 8 elite healthy players (4 males and 4 females) performed flat first serves, and the three-dimensional scapular kinematic data was recorded using the Qualisys motion capture system through spherical reflective markers including the acromion marker cluster. The scapula was more internally rotated (median difference: 10.40∘) in the male players with SIS than in those without it at the maximally externally rotated humerothoracic joint during flat first serve, and female players with SIS (median difference: 7.16∘ and 11.28∘, respectively) had more internally rotated scapula at the maximally externally rotated humerothoracic joint and ball impact. Increased scapular internal rotation may be something that affects shoulder injuries in the overhead sports, and it may help to prevent and rehabilitate overhead injuries including SIS.

Reduced platelet glycoprotein Ibα shedding accelerates thrombopoiesis and COX-1 recovery: implications for aspirin dosing regimen.

Cardiovascular (CV) disease prevention with low-dose aspirin can be less effective in patients with a faster recovery of platelet (PLT) cyclooxygenase (COX)-1 activity during the 24-hour dosing interval. We previously showed that incomplete suppression of TXA2 over 24 hours can be rescued by a twice daily aspirin regimen. Here we show that reduced PLT glycoprotein (GP)Ibα shedding characterizes patients with accelerated COX-1 recovery and may contribute to higher thrombopoietin (TPO) production and higher rates of newly formed PLT, escaping aspirin inhibition over 24 hours. Two hundred aspirin-treated patients with high CV risk (100 with type 2 diabetes mellitus) were stratified according to the kinetics of PLT COX-1 activity recovery during the 10- to 24-hour dosing interval. Whole proteome analysis showed that PLT from patients with accelerated COX-1 recovery were enriched in proteins involved in cell survival, inhibition of apoptosis and cellular protrusion formation. In agreement, we documented increased plasma TPO, megakaryocyte maturation and proplatelet formation, and conversely increased PLT galactose and reduced caspase 3, phosphatidylserine exposure and ADAM17 activation, translating into diminished GPIbα cleavage and glycocalicin (GC) release. Treatment of HepG2 cells with recombinant GC led to a dose-dependent reduction of TPO mRNA in the liver, suggesting that reduced GPIbα ectodomain shedding may unleash thrombopoiesis. A cluster of clinical markers, including younger age, non-alcoholic fatty liver disease, visceral obesity and higher TPO/GC ratio, predicted with significant accuracy the likelihood of faster COX-1 recovery and suboptimal aspirin response. Circulating TPO/GC ratio, reflecting a dysregulation of PLT lifespan and production, may provide a simple tool to identify patients amenable to more frequent aspirin daily dosing.

Stem cell therapy: a novel approach against emerging and re-emerging viral infections with special reference to SARS-CoV-2.

The past several decades have witnessed the emergence and re-emergence of many infectious viral agents, flaviviruses, influenza, filoviruses, alphaviruses, and coronaviruses since the advent of human deficiency virus (HIV). Some of them even become serious threats to public health and have raised major global health concerns. Several different medicinal compounds such as anti-viral, anti-malarial, and anti-inflammatory agents, are under investigation for the treatment of these viral diseases. These therapies are effective improving recovery rates and overall survival of patients but are unable to heal lung damage caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, there is a critical need to identify effective treatments to combat this unmet clinical need. Due to its antioxidant and immunomodulatory properties, stem cell therapy is considered a novel approach to regenerate damaged lungs and reduce inflammation. Stem cell therapy uses a heterogeneous subset of regenerative cells that can be harvested from various adult tissue types and is gaining popularity due to its prodigious regenerative potential as well as immunomodulatory and anti-inflammatory properties. These cells retain expression of cluster of differentiation markers (CD markers), interferon-stimulated gene (ISG), reduce expression of pro-inflammatory cytokines and, show a rapid proliferation rate, which makes them an attractive tool for cellular therapies and to treat various inflammatory and viral-induced injuries. By examining various clinical studies, this review demonstrates positive considerations for the implications of stem cell therapy and presents a necessary approach for treating virally induced infections in patients.

Chromosomal Location of Pm12-A Novel Powdery Mildew Resistance Gene from Avena sterilis.

Identification of new, effective disease resistance genes is a very important aspect of plant breeding. Also important is the precise location of individual loci and tagging them with DNA markers for marker assisted selection. The aim of the present study was identification of the molecular markers linked with Pm12, a new effective resistance gene to powdery mildew, and their location in the oat genome. The analysis was performed on 167 F2 individuals from a hybrid of Fuchs × CN67383, with the status of the locus in each individual verified by progeny test in F3. Segregation ratios confirmed the monogenic nature of resistance. Making use of the sequence data of DNA markers and the oat OT3098 v2 genome reference assembly, Pm12 is located on chromosome 7C. A comparison was also made with the reference consensus map, to which there are more reports of mapped genes to date. The mapping results suggest that Pm12 is located in the interval 103.8-111.7 cM on this map. No powdery mildew resistance locus has been identified in this region so far, suggesting that Avena sterilis CN67383 carries a novel locus offering effective resistance in oat breeding. The information included in the oat genome annotation allowed for the identification of candidate genes in the close region of the marker cluster for Pm12. This information may provide an interesting source of further analysis of the pathways of various genes in response to the stress of powdery mildew infection.

Quantification of Error Sources with Inertial Measurement Units in Sports.

Inertial measurement units (IMUs) offer the possibility to capture the lower body motions of players of outdoor team sports. However, various sources of error are present when using IMUs: the definition of the body frames, the soft tissue artefact (STA) and the orientation filter. Methods to minimize these errors are currently being used without knowing their exact influence on the various sources of errors. The goal of this study was to present a method to quantify each of the sources of error of an IMU separately. An optoelectronic system was used as a gold standard. Rigid marker clusters (RMCs) were designed to construct a rigid connection between the IMU and four markers. This allowed for the separate quantification of each of the sources of error. Ten subjects performed nine different football-specific movements, varying both in the type of movement, and in movement intensity. The error of the definition of the body frames (11.3-18.7 deg RMSD), the STA (3.8-9.1 deg RMSD) and the error of the orientation filter (3.0-12.7 deg RMSD) were all quantified separately for each body segment. The error sources of IMU-based motion analysis were quantified separately. This allows future studies to quantify and optimize the effects of error reduction techniques.

Validity and Reliability of Wearable Motion Sensors for Clinical Assessment of Shoulder Function in Brachial Plexus Birth Injury

The modified Mallet scale (MMS) is commonly used to grade shoulder function in brachial plexus birth injury (BPBI) but has limited sensitivity and cannot grade scapulothoracic and glenohumeral mobility. This study aims to evaluate if the addition of a wearable inertial movement unit (IMU) system could improve clinical assessment based on MMS. The system validity was analyzed with simultaneous measurements with the IMU system and an optical camera system in three asymptomatic individuals. Test-retest and interrater reliability were analyzed in nine asymptomatic individuals and six BPBI patients. IMUs were placed on the upper arm, forearm, scapula, and thorax. Peak angles, range of motion, and average joint angular speed in the shoulder, scapulothoracic, glenohumeral, and elbow joints were analyzed during mobility assessments and MMS tasks. In the validity tests, clusters of reflective markers were placed on the sensors. The validity was high with an error standard deviation below 3.6°. Intraclass correlation coefficients showed that 90.3% of the 69 outcome scores showed good-to-excellent test-retest reliability, and 41% of the scores gave significant differences between BPBI patients and controls with good-to-excellent test-retest reliability. The interrater reliability was moderate to excellent, implying that standardization is important if the patient is followed-up longitudinally.

Evaluation of approaches to estimate scapular kinematics during baseball pitching

ABSTRACT Biomechanical analyses of pitching possess limitations in accurately measuring dynamic scapular orientation and are thus unable to distinguish between glenohumeral and scapulothoracic contributions to global shoulder motion. In lieu of direct measurement, several methods to estimate scapular kinematics have been developed. This study evaluated the ability of the linear model and the double calibration acromion marker cluster (D-AMC) approaches to estimate scapular kinematics throughout a full-speed pitching motion. Each approach’s estimates were compared against scapulothoracic range of motion limits established in a non-pitching biplane fluoroscopy study involving various functional arm movements that approximate physiological limits of scapular motion. Fourteen healthy collegiate pitchers participated. Motion capture measured upper extremity joint kinematics during full-speed fastball pitches. Linear model and D-AMC approaches estimated scapulothoracic kinematics during each pitch. Linear model estimates of scapulothoracic kinematics were largely within established physiological limits on each scapular axis of motion while D-AMC estimates exceeded fluoroscopy-established bounds for more subjects and by larger, less physiologically plausible amounts. These findings demonstrate that the linear model outperforms the D-AMC and suggest that it is a viable approach to estimate scapular kinematics during pitching. Finally, these results offer additional evidence to support the accepted pattern of scapular kinematics during pitching.

Visualizing biomarkers and their association with clinical outcomes: A machine learning approach

IntroductionClinical investigators often seek to identify biomarkers that are associated with clinical outcomes. The challenge is that biomarkers tend to be numerous, often inter-correlated, and with varying degrees of association with the clinical outcome of interest. We developed a straightforward, effective visualization approach that allows investigators to see the inter-correlations of biomarkers and their association with clinical outcomes rendered in a 2-dimensional (2-D) plot. MethodWe extracted pairwise differences between outcome groups. Next, a t-SNE machine learning method was applied to reduce dimensionality of the data into 2-dimensional data. This data was then rendered as 2-D plots allowing visualization of either the original biomarker values or their ranking in the sample. We apply this method to a dataset of 235 subjects with data of 114 metabolomic biomarkers and cardiovascular outcomes. ResultThe 2-D plots demonstrated that the metabolite biomarkers with high degrees of association with the outcome tend to be positioned away from non-significant markers. Markers that are correlated with each other are positioned in clusters. An online demo version application of this visualization tool is available at http://52.9.140.88:3838/MarkersVu/. ConclusionThis is an effective approach to visualize biomarkers and their correlations, allowing rapid visual identification of biomarkers and marker clusters with potentially higher degree of association with the outcome.

Assessment of approaches to estimate scapular orientation in children with brachial plexus birth injury

BackgroundChallenges in measuring dynamic scapular orientation limit assessment of scapulothoracic and glenohumeral contributions to shoulder function in children with brachial plexus birth injury (BPBI). Double calibration acromion marker cluster (D-AMC) and linear model approaches have been validated to estimate scapular motion in healthy adults, but neither has been evaluated in BPBI. Research questionAre the linear model and D-AMC approaches able to accurately estimate scapular orientation in children with BPBI at functional arm postures? MethodsSeventeen children with BPBI positioned their affected limbs in 11 static positions while their segment orientations were measured with motion capture. Linear model and D-AMC estimates of scapular orientation were compared against palpation at six of the static positions with functional relevance to BPBI using a three-way repeat measures ANOVA and a comparison of root mean square errors (RMSE) against literature AMC values for healthy adults. ResultsThe D-AMC was similar to palpation across all positions and scapular axes while the linear model differed from palpation in a few instances. RMSEs of the D-AMC (3.7–14.8°) and particularly the linear model (4.6–24.8°) were generally at or beyond the upper range of past AMC analyses on healthy adults (1.6–14.2°), especially for more complex, multiplanar arm postures. Despite the D-AMC outperforming the linear model, this approach still produced clinically meaningful (>10°) errors for roughly (12.7–22.5%) of subjects. SignificanceCurrent methods for estimating dynamic scapular orientation remain less than ideal for BPBI. Use of the D-AMC may be appropriate to gain broad insights into general dynamic scapulothoracic and glenohumeral function; however, given their potential for producing clinically meaningful errors, the D-AMC and linear model are not recommended for diagnostic purposes or outcomes assessment on an individual patient basis unless their patient-specific accuracy has been evaluated and confirmed prior to use.

Can Anthropometry be Used to Dictate Participant-Specific Thigh Marker Placements Which Minimize Error in Hip Joint Center Estimation?

Specific participant characteristics may be leveraged to dictate marker placements which reduce soft tissue artifact; however, a better understanding of the relationships between participant characteristics and soft tissue artifact are first required. The purpose of this study was to assess the accuracy in which measures of whole-body and thigh anthropometry could predict mislocation error of the hip joint center, tracked using skin-mounted marker clusters. Fifty participants completed squatting and kneeling, while pelvis and lower limb motion were recorded. The effect of soft tissue artifact was estimated from 6 rigid thigh marker clusters by evaluating their ability to track the position of the hip joint center most like the pelvis cluster. Eighteen backward stepwise linear regressions were performed using 10 anthropometric measures as independent variables and the mean of the peak difference between the thigh and pelvis cluster-tracked hip joint centers. Fourteen models significantly predicted error with low to moderate fit (R = .38-.67), explaining 14% to 45% of variation. Partial correlations indicated that soft tissue artifact may increase with soft tissue volume and be altered by local soft tissue composition. However, it is not recommended that marker placement be adjusted based on anthropometry alone.

INTERACTIONS BETWEEN BIOLOGICAL SEX AND THE X-LINKED VARIANT IRAK1 HAPLOTYPE IN MODULATING CLINICAL OUTCOME AND CELLULAR PHENOTYPES AFTER TRAUMA.

Sex-related outcome differences in trauma remain controversial. The mechanisms causing sex-biased outcomes are likely to have hormonal and genetic components, in which X-linked genetic polymorphisms may play distinct roles because of X-linked inheritance, hemizygosity in males, and X chromosome mosaicism in females. The study aimed to elucidate the contribution of biological sex and the common X-linked IRAK1 haplotype to posttrauma clinical complications, inflammatory cytokine and chemokine production, and polymorphonuclear cell and monocyte activation. Postinjury clinical outcome was tested in 1507 trauma patients (1,110 males, 397 females) after stratification by sex or the variant IRAK1 haplotype. Males showed a three- to fivefold greater frequency of posttrauma sepsis, but similar mortality compared to females. Stratification by the variant IRAK1 haplotype revealed increased pneumonia and urinary tract infection in Wild type (WT) versus variant IRAK1 males, whereas increased respiratory failures in variant versus WT females. Cytokine/chemokine profiles were tested in whole blood from a subset of patients (n = 81) and healthy controls (n = 51), which indicated sex-related differences in ex vivo lipopolysaccharide responsiveness manifesting in a 1.5- to 2-fold increased production rate of tumor necrosis factor α, interleukin-1β (IL-1β), IL-10, Macrophage Inflammatory Protein-1 Alpha, and MIP1β in WT male compared to WT female trauma patients. Variant IRAK1 decreased IL-6, IL-8, and interferon gamma-induced protein 10 production in male trauma subjects compared to WT, whereas cytokine/chemokine responses were similar in variant IRAK1 and WT female trauma subjects. Trauma-induced and lipopolysaccharide-stimulated polymorphonuclear cell and monocyte activation determined by using a set of cluster of differentiation markers and flow cytometry were not influenced by sex or variant IRAK1. These findings suggest that variant IRAK1 is a potential contributor to sex-based outcome differences, but its immunomodulatory impacts are modulated by biological sex.

Abstract 1681: Single cell RNA sequencing of primary Ewing sarcoma tumors and identification of circulating tumor cells in patient-matched peripheral blood samples

Abstract Ewing sarcoma (ES) is the second most common bone cancer in children, accounting for 2% of pediatric cancer diagnoses. Patients who present with metastatic disease at the time of diagnosis have a dismal prognosis, compared to the >70% 5-year survival of those with localized disease. Here, we utilized single-cell RNA sequencing (scRNA-seq) to characterize the transcriptional landscape of primary ES tumors, and to identify circulating tumor cells (CTCs) in peripheral blood at the time of diagnosis in order to further understand ES transcriptional heterogeneity and factors that drive metastasis. Methods: Viably frozen primary tumor and peripheral blood samples were obtained from 7 ES patients at the time of diagnosis and prior to the initiation of treatment. Tumors were dissociated into a single cell suspension and sorted for viability using FACS (fluorescence activated cell sorting) whereas peripheral blood samples were subjected to a size-based selection with the CellSieve microfiltration system. ScRNA-seq was performed using the 10xChromium platform and count matrices were generated using 10x Genomics Cell Ranger software. Quality control, integration, and cluster analysis was performed with Seurat. Results: Cluster analysis of integrated, primary tumor samples demonstrated that candidate ES cell clusters express FLI1 and ES marker NKX2-2 and cluster separately from immune cell populations. Additionally, using inferCNV, ES clusters were demonstrated to harbor chromosomal copy number alterations known to be associated with ES and that were previously identified clinically on preliminary pathology reports for each patient; further GSEA analysis showed significant overlap between published ES gene sets and genes upregulated in ES clusters. Further analysis of ES cells demonstrated that cell-cycle phase determined a cluster enriched in pro-proliferation gene signatures, and overall heterogeneity of expression of previously known therapeutic targets. Candidate ES CTCs were identified among the peripheral blood samples among clusters which corresponded with distinct immune cell populations. The candidate ES CTCs expressed NKX2-2 and demonstrated enrichment in oncogenic gene signatures. Conclusion: ScRNA-seq of primary ES tumors is feasible and demonstrates that ES tumor cells are largely homogeneous in nature; and candidate ES CTCs can be identified in peripheral blood at the time of diagnosis in ES patient and warrant further investigation as to their utility as a biomarker of metastatic disease. Citation Format: Sarah K. Nelson-Taylor, Avery Bodlack, Andrew Goodspeed, Amy Treece, Nathan Donaldson, Carrye Cost, Tim Garrington, Brian Greffe, Sandra Luna-Fineman, Jenna Sopfe, Masanori Hayashi. Single cell RNA sequencing of primary Ewing sarcoma tumors and identification of circulating tumor cells in patient-matched peripheral blood samples [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1681.

Dispersion of Knee Helical Axes during Walking after Maximal versus Resistant Strength Training in Healthy Subjects

Knee joint stability can be estimated during functional tasks through the analysis of the helical axes (HAs) dispersion. The study aimed at investigating (1) the test–retest reliability of knee HAs dispersion during walking and (2) the effects of maximal versus resistant strength training on knee HAs dispersion during walking. Thirty healthy subjects (age: 22.6 ± 2.1 years) randomized into a maximal training (MT) group and a resistance training (RT) group underwent a 2-week quadricep–hamstring strength training at 90% or 30% of the maximum voluntary contraction, respectively. Participants walked on a treadmill with clusters of retro-reflective markers placed on thighs and shanks to detect knee kinematics with an optoelectronic system. Knee HAs dispersion was assessed using mean distance (MD) and mean angle (MA) at 1 week before training start, before and after the first training session, and before and after the last training session. Moderate to excellent reliability was found for MD and MA on the sagittal plane (ICCs ≥ 0.70). No differences over time were found for MD and MA between MT and RT. HAs dispersion indexes resulted in reliable parameters for the quantification of knee stability on the sagittal plane during walking. Maximal and resistance strength training induced no knee HAs dispersion changes during walking.

Evolutionary Variation of Accumulative Day Length and Accumulative Active Temperature Required for Growth Periods in Global Soybeans

Soybean (Glycine max (L.) Merr.) is a typical short-day and thermophilic crop. This study aimed to reveal the required accumulative day length (ADL) and accumulative active temperature (AAT) for DSF (days of sowing to flowering) and DFM (days of flowering to maturity) in global soybeans. A sample consisted of 354 varieties from 27 countries in five geographic regions, which were tested in Nanjing, China in two spring-sowing and two summer-sowing seasons. The ADL and AAT were calculated from the climatological data provided by the Public Service of Nanjing Meteorological Bureau. The results showed that the average DSF and DFM of global soybeans were 41.0 d and 83.3 d, which required ADLDSF of 606.6 d·h and AATDSF of 1185.9 d·°C, ADLDFM of 1126.7 d·h and AATDFM of 2145.1 d·°C, respectively, all with a wide variation among/within geographic and MG(maturity-group)-set subpopulations. From the multiple regression of DSF and DFM on required ADL and AAT, the ADL, AAT and ADL×AAT contributed 38.5%, 44.79% and 17.10% to DSF variation and 86.98%, 11.42% and 0.54% to DFM variation, respectively, and their relative importance to DSF and DFM varied among the geographic and MG subpopulations. The geographic subpopulations matched only partially with the genomic marker clusters, indicating multiple genetic sources of each subpopulation and that genetic exchange happened among subpopulations.

Elucidating molecular diversity in spring wheat (Triticum aestivum L. em.Thell.) under terminal heat stress environment using morpho-physiological traits and SSR markers

A set of 36 wheat genotypes was analysed for genetic diversity and terminal heat tolerance under diverse environmental conditions for two years. Based on a minimum mean stress susceptibility index over the seasons, five genotypes, namely, HD3090, HD3086, HD3266, DW1636 and DW1638 emerged as terminal heat tolerant. The D2 analysis grouped the 36 genotypes into eight and six clusters in 2016-17 and 2017-18, respectively. The result of the principal component analysis was also in agreement with the results of hierarchical cluster analysis. Out of 82 SSR markers used to study the molecular diversity, 45 were polymorphic. Estimates for polymorphism information content varied from 0.09 (GWM297) to 0.50 (GWM111 and CFD46), marker index varied from 0.22 (WMC213) to 1.33 (WMC232), and resolving power varied 1.6 (GWM194 and CFD127) to 4.69 (WMC505). A total of 102, including 20 rare and three unique alleles were detected. The number of alleles per marker ranged from 2 to 4 with an average value of 2.2 alleles per marker. Based on SSR polymorphism, the genotypes were grouped into six divergent multi-genotypic clusters. Comparative genotypic grouping using molecular markers and morpho-physiological traits revealed no similarities of genotypic clustering in different crop seasons. However, three out of five genotypes, HD3090, HD3086 and HD3266 identified as terminal heat-tolerant in different clusters based on D2 values and SSR marker cluster analysis. Therefore, these genetically diverse genotypes could be used as a potential donor for improving the terminal heat tolerance in wheat.

Elevated CD9 expression as a potential biomarker for diagnosis of Bernard-Soulier syndrome.

Diagnosis of inherited platelet glycoprotein disorders is based on specific laboratory techniques such as aggregometry and flow cytometry. Flowcytometry is a powerful method, but equivocal results are produced in some cases. New cluster of differentiation markers could resolve the diagnostic dilemmas. Abnormal expression of CD9 in Bernard-Soulier syndrome (BSS) is recently reported. We aimed to determine the diagnostic significance of CD9 expression in a cohort of Iranian patients with inherited platelet glycoprotein defects. Twelve BSS, 21 Glanzmann thrombasthenia and 16 healthy controls were included in the present study. Flowcytometric diagnosis of BSS and Glanzmann thrombasthenia was made by analysis of CD41/61 and CD42a/42b CD markers. Moreover, phycoerythrin-labelled anti CD9 was examined in patients and healthy controls. The mean fluorescence intensity (MFI) of CD9 among the three groups was compared using suitable statistical methods and a P value of less than 0.05 considered statistically significant. Mean MFI of CD9 was 990.0 in BSS patients versus 421.2 and 317.3 in individuals with Glanzmann thrombasthenia and healthy controls, respectively (P < 0.05). Between the two-group comparison of means by the Mann-Whitney test revealed a P value of less than 0.001 for BSS group versus GT (2.4-fold) and BSS versus healthy controls (2.9-fold). CD9 molecule also expressed differently in patients with Glanzmann thrombasthenia in comparison with healthy controls (P < 0.001), although with a less magnitude (1.3-fold). According to our findings, CD9 is a potential biomarker for laboratory diagnosis of inherited glycoprotein defects, especially to elucidate the ambiguous results in BSS cases.

Comparison between Helical Axis and SARA Approaches for the Estimation of Functional Joint Axes on Multi-Body Modeling Data

Functional methods usually allow for a flexible and accurate representation of joint kinematics and are increasingly implemented both for clinical and biomechanics research purposes. This paper presents a quantitative comparison between two widely adopted methods for functional axis estimation, that is, the helical axis theory and the symmetrical axis of rotation approach (SARA). To this purpose, a multi-body model was developed to simulate the lower limb of a subject. This model was designed to reproduce different motion patterns, that is, by selecting the active degrees of freedom of the simulated ankle joint. Thanks to virtual markers attached to each segment, the multi-body model was used to generate simulated motion capture data that were then analyzed by instantaneous helical axes and SARA algorithms. To achieve a synthetic representation of joint kinematics, a mean helical axis and an average SARA functional axis were estimated, along with dispersion parameters and rms distance data that were used to quantitatively assess the performance of each method. The sensitivity of each algorithm to different combinations of range and speed of motion, scattering of marker clusters, sampling rate, and additive noise on markers’ trajectories, was finally evaluated.

Analysis of Genetic Diversity and Relationship of &lt;i&gt;Jacaranda mimosifolias&lt;/i&gt; Based on ISSR Molecular Markers Technique

The genetic diversity and relationship of Jacaranda mimosifolias &nbsp;from 19 provenances including 21 germplasms in China were studied by ISSR molecular markers&nbsp;technique. 53 bands were amplified by using 10 selected primers from all the 33 primers, of which 44 bands were polymorphic, with the polymorphism ratio of 83.02%. Each primer could amplify 5.3 bands in average. The average number of tested alleles (Na) , effective alleles (Ne) , Nei&rsquo;s gene diversity index &nbsp;(H) &nbsp;and Shannon&rsquo;s information index (I) &nbsp;were 1.83, 1.45, 0.27, 0.40, respectively.&nbsp;ISSR molecular marker cluster analysis research shows 21 J. mimosifolias &nbsp;germplasm resources could be divided into two groups, and the genetic diversity is high. Their genetic relationship is not strongly related to geographical origin of cultivation area. In this study, the relatively accurately molecular identification of the germplasm resources of J. mimosifolias &nbsp;was carried out, which will provide a theoretical basis for the breeding of the improved varieties.

Clusters of the Risk Markers and the Pattern of Premature Coronary Heart Disease: An Application of the Latent Class Analysis

Background: Coronary heart disease (CHD) is the major cause of mortality in the world with a significant impact on the younger population. The aim of this study was to identify prematurity among patients with coronary artery bypass graft surgery (CABG) based on the clustering of CHD risk factors.Methods: Patients were recruited from an existing cohort of candidates for CABG surgery named Tehran Heart Center Coronary Outcome Measurement (THC-COM). A latent class analysis (LCA) model was formed using 11 potential risk factors as binary variables: cigarette smoking, obesity, diabetes, family history of CHD, alcohol use, opium addiction, hypertension, history of stroke, history of myocardial infarction (MI), peripheral vascular disease (PVD), and hyperlipidemia (HLP). We analyzed our data to figure out how the patients are going to be clustered based on their risk factors.Results: For 566 patients who were studied, the mean age (SD) and BMI of patients were 59.1 (8.9) and 27.3 (4.1), respectively. The LCA model fit with two latent classes was statistically significant (G2 = 824.87, df = 21, p < 0.0001). The mean (SD) age of patients for Class I and Class II was 55.66 (8.55) and 60.87 (8.66), respectively. Class I (premature) was characterized by a high probability of smoking, alcohol consumption, opium addiction, and a history of MI (P < 0.05), and class II by a high probability of obesity, diabetes, and hypertension.Conclusion: Latent class analysis calculated two groups of severe CHD with distinct risk markers. The younger group, which is characterized by smoking, addiction, and the history of MI, can be regarded as representative of premature CHD.

Electrophysiological disruptions and cerebrospinal fluid biomarkers in mild cognitive impairment patients

AbstractBackgroundAlzheimer's Disease (AD) is a progressive neurodegenerative disorder characterized, at the neuropathological level, by the accumulation of amyloid‐β (Aβ) neuritic plaques and neurofibrillary tangles formed by hyperphosphorylated tau protein. A key aspect of AD’s is focused on its early detection. In recent years, cerebrospinal fluid (CSF) has been established as a sensible and validated biomarker that could help to provide an accurate diagnosis of the disease. It is known that lower CSF Aβ‐42 concentrations and higher CSF levels of total and phosphorylated tau (t‐tau and p‐tau respectively), have been extensively replicated parameters among AD patients. Similarly, electrophysiological signatures, as analyzed by the electroencephalography (EEG) technique, seem to be a non‐invasive useful tool for evaluating the progressive loss of efficiency of neuronal networks. Given that, the purpose of this study was to explore the correlation between power EEG values derived from clusters of sensors and CSF markers in a sample of mild cognitive impairment (MCI) patients.Method7 MCI participants (aged from 61 to 85) were recruited from the Cognitive Disorders Unit of the Hospital Universitari Santa Maria (Lleida, Spain). All of them underwent a neuropsychological evaluation, CSF lumbar puncture, and EEG recordings.ResultAmyloid. Male population showed a significant negative correlation (rho = ‐0.754, p &lt; 0.003) between amyloid load and theta power in antero‐posterior regions of the brain. The average power of the cluster correlated significatively with ADAS (rho = 0.562, p &lt; 0.037), total tau (rho = 0.538, p &lt; 0.049) and delayed recall (rho = ‐0.612, p &lt; 0.020). Total tau. A widespread alpha power cluster was found in the male population whose oscillatory activity correlated negatively with t‐tau CSF load (rho = ‐0.653, p &lt; 0.014). When assessing the female population, we found a relationship (rho = ‐0.864, p &lt; 0.001) between total‐tau and beta power in a widespread cluster. Additionally, the beta cluster average power significatively correlated with p‐tau load (rho = ‐0.800, p &lt; 0.005) and age (rho = ‐0.621, p &lt; 0.041).ConclusionElectrophysiological activity seems to be depicting a clear sex‐based pattern of associations with neuropathological markers of AD.