scholarly journals Complement and coagulation cascades activation is the main pathophysiological pathway in early-onset severe preeclampsia revealed by maternal proteomics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lina Youssef ◽  
Jezid Miranda ◽  
Miquel Blasco ◽  
Cristina Paules ◽  
Francesca Crovetto ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Early Onset ◽  
Goodness Of Fit ◽  
Univariate Analysis ◽  
Maternal Blood ◽  
Partial Least Square ◽  
Severe Preeclampsia ◽  
Least Square ◽  
Pathway Enrichment Analysis ◽  
Proteomics Analysis

AbstractPreeclampsia is a pregnancy-specific multisystem disorder and a leading cause of maternal and perinatal morbidity and mortality. The exact pathogenesis of this multifactorial disease remains poorly defined. We applied proteomics analysis on maternal blood samples collected from 14 singleton pregnancies with early-onset severe preeclampsia and 6 uncomplicated pregnancies to investigate the pathophysiological pathways involved in this specific subgroup of preeclampsia. Maternal blood was drawn at diagnosis for cases and at matched gestational age for controls. LC–MS/MS proteomics analysis was conducted, and data were analyzed by multivariate and univariate statistical approaches with the identification of differential pathways by exploring the global human protein–protein interaction network. The unsupervised multivariate analysis (the principal component analysis) showed a clear difference between preeclamptic and uncomplicated pregnancies. The supervised multivariate analysis using orthogonal partial least square discriminant analysis resulted in a model with goodness of fit (R2X = 0.99, p < 0.001) and a strong predictive ability (Q2Y = 0.8, p < 0.001). By univariate analysis, we found 17 proteins statistically different after 5% FDR correction (q-value < 0.05). Pathway enrichment analysis revealed 5 significantly enriched pathways whereby the activation of the complement and coagulation cascades was on top (p = 3.17e−07). To validate these results, we assessed the deposits of C5b-9 complement complex and on endothelial cells that were exposed to activated plasma from an independent set of 4 cases of early-onset severe preeclampsia and 4 uncomplicated pregnancies. C5b-9 and Von Willbrand factor deposits were significantly higher in early-onset severe preeclampsia. Future studies are warranted to investigate potential therapeutic targets for early-onset severe preeclampsia within the complement and coagulation pathway.

scholarly journals The Interplay between Pathophysiological Pathways in Early-Onset Severe Preeclampsia Unveiled by Metabolomics

Life ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 86
Author(s):  
Lina Youssef ◽  
Francesca Crovetto ◽  
Rui Vasco Simoes ◽  
Jezid Miranda ◽  
Cristina Paules ◽  
...  
Keyword(s):  
Early Onset ◽  
Goodness Of Fit ◽  
Univariate Analysis ◽  
Great Part ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Glutamate Metabolism ◽  
Metabolomic Analysis ◽  
Early Onset Preeclampsia

Introduction: Preeclampsia is a multi-system disorder unique to pregnancy responsible for a great part of maternal and perinatal morbidity and mortality. The precise pathogenesis of this complex disorder is still unrevealed. Methods: We examined the pathophysiological pathways involved in early-onset preeclampsia, a specific subgroup representing its most severe presentation, using LC-MS/MS metabolomic analysis based on multi-level extraction of lipids and small metabolites from maternal blood samples, collected at the time of diagnosis from 14 preeclamptic and six matched healthy pregnancies. Statistical analysis comprised multivariate and univariate approaches with the application of over representation analysis to identify differential pathways. Results: A clear difference between preeclamptic and control pregnancies was observed in principal component analysis. Supervised multivariate analysis using orthogonal partial least square discriminant analysis provided a robust model with goodness of fit (R2X = 0.91, p = 0.002) and predictive ability (Q2Y = 0.72, p < 0.001). Finally, univariate analysis followed by 5% false discovery rate correction indicated 82 metabolites significantly altered, corresponding to six overrepresented pathways: (1) aminoacyl-tRNA biosynthesis; (2) arginine biosynthesis; (3) alanine, aspartate and glutamate metabolism; (4) D-glutamine and D-glutamate metabolism; (5) arginine and proline metabolism; and (6) histidine metabolism. Conclusion: Metabolomic analysis focusing specifically on the early-onset severe form of preeclampsia reveals the interplay between pathophysiological pathways involved in this form. Future studies are required to explore new therapeutic approaches targeting these altered metabolic pathways in early-onset preeclampsia.

scholarly journals Multivariate Versus Univariate Spectrum Analysis of Dentine Sialophosphoprotein (DSPP) for Root Resorption Prediction: A Clinical Trial

2021 ◽  
Author(s):  
Mohd Norzaliman Mohd Zain ◽  
Zalhan Md Yu ◽  
Katrul Nadia Basri ◽  
Farinawati Yazid ◽  
Yong Xian Teh ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Root Resorption ◽  
Gingival Crevicular Fluid ◽  
Univariate Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Root Area ◽  
Tooth Resorption ◽  
Percent Accuracy ◽  
Crevicular Fluid

Abstract Background: A force applied during orthodontic treatment induces inflammation to root area and lead to root resorption known as Orthodontically Induced Inflammatory Root Resorption (OIIRR). Dentine sialophosphoprotein (DSPP) is one of the most abundant non-collagenous protein in dentine that was released into gingival crevicular fluid (GCF) during OIIRR. The aim of this research is to compare DSPP detection using the univariate and multivariate analysis in predicting classification level of root resorption. Methods: The subjects for this study consisted of 30 patients in 3 group classified as normal, mild and severe groups of OIIRR. The GCF samples were taken from upper permanent central incisors in the normal and mild group while the upper primary second molars in the severe group. The DSPP qualitative detection limit was determined by analyzing the whole absorption spectrum utilizing multivariate analysis embedded with different preprocessing method. The multivariate analysis represents the multi-wavelength spectrum while univariate analyzes the absorption of a single wavelength. Results: The results showed that the multivariate analysis technique using Partial Least Square-Discriminate Analysis (PLS-DA) with the preprocess method has successfully improved in classification prediction for the normal and mild group at 0.88 percent accuracy. The multivariate using PLS-DA algorithm with Mean Center preprocess method was able to predict normal and mild tooth resorption classes better than the univariate analysis. The classification parameters have improved in term of the specificity, precision and accuracy. Conclusion: Therefore, the multivariate analysis helps to predict an early detection of tooth resorption complimenting the sensitivity of the univariate analysis.

ANALISIS ADVERSITY QUOTIENT DAN KOMUNIKASI INTERPERSONAL DENGAN KOMITMEN ORGANISASI SEBAGAI INTERVENING TERHADAP PRODUKTIVITAS KARYAWAN

2020 ◽  
Vol 7 (2) ◽  
pp. 125-139
Author(s):  
Abd. Rasyid Syamsuri ◽  
Abd. Halim ◽  
Dilla Darvita
Keyword(s):  
Goodness Of Fit ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Inner Model

Tujuan penelitian ini untuk menganalisis pengaruh adversity quotient dan komunikasi interpersonal dengan komitmen organisasi sebagai Intervening terhadap produktvitas karyawan. Penelitian ini kami lakukan di PT. Gloria Jaya Sejahtera Medan-Indonesia dengan pengumpulan data melalui pendekatan survei yang menyebar kuesioner kepada 40 karyawan. Teknik pengumpulan data dilakukan dengan wawancara, kuesioner dan observasi. Alat analisis yang digunakan pada penelitian ini menggunakan software Statistical Product and Service Solutions (SPSS) dan Stuctural Equation Model (SEM) dengan SmartPLS (Partial Least Square). Pengujian dengan model struktural (inner model) dapat diperoleh bahwa nilai R square untuk variabel komitmen organisasi (Z) dan produktivitas karyawan (Y) dapat dijelaskan oleh variabel adverstiy quotient (X1), dan komunikasi interpersonal (X2), sebesar 75,3%, dan 83,3 % sedangkan sisanya dijelaskan oleh varibel lain. Untuk uji kesesuain model (uji goodness of fit) dapat diketahui bahwa nilai Q2 = 0,958 > 0 yang berarti model penelitian adversity quotient (X1), komunikasi interpersonal (X2), komitmen organisasi (Z), dan produktivitas karyawan (Y) di PT. Gloria Jaya Sejahtera Medan memiliki kesesuaian. Hasil penelitian dengan uji-t dapat diketahui bahwa adversity quotient berpengaruh positif dan tidak signifikan terhadap komitmen organisasi dengan nilai t satistik sebesar 1,069 lebih kecil dari t-tabel 1,96, komunikasi interpersonal berpengaruh positif dan signifikan terhadap komitmen organisasi dengan nilai t satistik sebesar 4,259 lebih besar dari t-tabel 1,96, adversity quotient berpengaruh negatif dan signifikan terhadap produktvitas karyawan dengan nilai t satistik sebesar 2,632 lebih besar dari t-tabel 1,96, komunikasi interpersonal berpengaruh positif dan signifikan terhadap produktvitas kerja karyawan dengan nilai t satistik sebesar 2,900 lebih besar dari t-tabel 1,96, komitmen organisasi berpengaruh positif dan signifikan terhadap produktvitas karyawan dengan nilai t satistik sebesar 4,399 lebih besar dari t-tabel 1,96.

scholarly journals EVALUASI KOMPETENSI PELATIH SEPAKBOLA USIA DINI DI SEKOLAH SEPAKBOLA

2017 ◽  
Vol 2 (2) ◽  
pp. 92
Author(s):  
Ujang Rohman
Keyword(s):  
Goodness Of Fit ◽  
Partial Least Square ◽  
Least Square

Penelitian ini membahas mengenai evaluasi kompetensi pelatih sepakbola usia dini. Metode yang digunakan adalah metode kombinasi (kuantitatif-kualitatif) dengan model evaluasi CIPP.  Hasil analisis data diperoleh nilai evaluasi: 1. Context. sebesar 61.66% menunjukkan legalitas keberadaan pelatih perlu dukungan pemerintah dan lembaga terkait (Asosiasi PSSI, KONI dan Asosiasi SSB).  2. Input. sebesar 53.03% menunjukkan pelatih harus memiliki kualifikasi akademik,  pengalaman melatih dan kewenangan melatih. 3. Process. Hasil analisis SEM melalui pendekatan Partial Least Square (PLS), diketahui pengaruh kompetensi pelatih (X) terhadap kompetensi pengembangan karakter (X1) = 26.064044, kompetensi motivasi (X2) = 16.628261, kompetensi teknik (X3) = 34.177510 dan kompetensi strategi permainan (X4) = 26.900712 berarti  thitung  >  ttabel (1,96). Sedangkan nilai goodness of fit  atau R-square (R2) variabel (X1) sebesar 0.7549, (X2) sebesar 0.7572, (X3) sebesar 0,6844 dan sebesar (X4) sebesar 0.7805 secara deskriptif menunjukkan kompetensi pelatih sepakbola usia dini ada pengaruh dan relevansinya terhadap kompetensi pengembangan karakter, kompetensi strategi permainan, kompetensi motivasi, dan kompetensi teknik. 4. Product. Kompetensi pelatih sepakbola usia dini yang direpresentasikan oleh komponen kompetensi pengembangan karakter, strategi permainan, motivasi dan kompetensi teknik secara konseptual  dikembangkan menjadi tiga rumusan kompetensi pelatih terdiri dari unsur sikap (afektif),  pengetahuan (kognitif), dan keterampilan (psikomotor).

scholarly journals Comparison of flavour fingerprint, electronic nose and multivariate analysis for discrimination of extra virgin olive oils

2019 ◽  
Vol 6 (3) ◽  
pp. 190002
Author(s):  
Qi Zhou ◽  
Shaomin Liu ◽  
Ye Liu ◽  
Huanlu Song
Keyword(s):  
Multivariate Analysis ◽  
Electronic Nose ◽  
Corn Oil ◽  
Solid Phase ◽  
Partial Least Square ◽  
Least Square ◽  
Gas Chromatography Mass Spectrometry ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Coefficient Method

Flavour is a special way to discriminate extra virgin olive oils (EVOOs) from other aroma plant oils. In this study, different ratios (5, 10, 15, 20, 30, 50, 70 and 100%) of peanut oil (PO), corn oil (CO) and sunflower seed oil (SO) were discriminated from raw EVOO using flavour fingerprint, electronic nose and multivariate analysis. Fifteen different samples of EVOO were selected to establish the flavour fingerprint based on eight common peaks in solid-phase microextraction–gas chromatography–mass spectrometry corresponding to 4-methyl-2-pentanol, ( E )-2-hexenal, 1-tridecene, hexyl acetate, ( Z )-3-hexenyl acetate, ( E )-2-heptenal, nonanal and α-farnesene. Partial least square discrimination analysis (PLS-DA) was used to differentiate EVOOs and mixed oils containing more than 20% of PO, CO and SO. Furthermore, better discrimination efficiency was observed in PLS-DA than PCA (70% of CO and SO), which was equivalent to the correlation coefficient method of the fingerprint (20% of PO, CO and SO). The electronic nose was able to differentiate oil samples from samples containing 5% mixture. The discrimination method was selected based on the actual requirements of quality control.

scholarly journals Evaluation of municipal e-government readiness using structural equation modelling technique

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Seena Joseph ◽  
Oludayo O. Olugbara
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Building Blocks ◽  
Partial Least Square ◽  
Least Square ◽  
Modelling Technique ◽  
Service Improvement ◽  
Equation Modelling ◽  
Study Results

The evaluation of municipal e-government readiness can provide a useful barometer to understand the critical needs of citizens. In addition, it can help to improve effectiveness of government services and provide a technology industry access to relevant information to create efficient e-services. This study develops and tests a framework to evaluate municipal e-government readiness based on building blocks of supporting e-services readiness, individual citizen readiness, municipal government readiness, technological infrastructure readiness and supporting industries readiness. The process of evaluating municipal e-government readiness utilises data obtained through a survey of 219 respondents from four municipalities in the Eastern Cape Province of South Africa. The partial least square structural equation modelling technique was used for data analysis. The study results show that the investigated building blocks are significant determinants of municipal e-government readiness with an overall 81% goodness-of-fit performance. The results provide foundational information for policymakers and practitioners who are interested in propagating e-government readiness. Factors that determine municipal e-government readiness could provide new insights on future studies about e-municipality service improvement.

scholarly journals Multivariate Analysis for Determinants of Online Consumers Trust

2021 ◽  
Vol 1 ◽  
Author(s):  
Aprilia Aryanti Widyasari ◽  
Putri Pratama Deliana Nursafitri ◽  
Achmad Yanu Alifianto
Keyword(s):  
Multivariate Analysis ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Online Shopping ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Brand Awareness ◽  
Customer Trust ◽  
The Relationship

This research aims to examine the effect of customer satisfaction on customer trust, the effect of security perception on customer satisfaction and customer trust, the influence of privacy on customer satisfaction and customer trust, the influence of brand awareness on customer satisfaction and customer trust, as well as the influence of customer satisfaction mediation on the relationship between perception security, privacy and brand awareness with customer trust. This research focuses observations on 100 people in Surabaya who have made transactions on online shopping sites. Private students and employees dominate the number of respondents in this research. To test the research hypothesis, this research adopted the Structural Equation Model-Partial Least Square (SEM-PLS) technique using SmartPLS. This research proves that brand awareness has a significant effect on customer trust and customer satisfaction, security perceptions have a significant effect on customer trust and customer satisfaction, privacy has a significant effect on customer trust and not on customer satisfaction, and customer satisfaction on customer trust

scholarly journals A study of new antimalarial artemisinins through molecular modeling and multivariate analysis

2010 ◽  
Vol 75 (11) ◽  
pp. 1533-1548 ◽  
Author(s):  
João Ferreira ◽  
Antonio Figueiredo ◽  
Jardel Barbosa ◽  
Maria Cristino ◽  
Williams Macedo ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Antimalarial Activity ◽  
External Validation ◽  
Geometry Optimization ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Partial Least Square ◽  
Least Square ◽  
Basis Set ◽  
Validation Parameters

Artemisinin and 18 derivatives with antimalarial activity against W-2 strains of Plasmodium falciparum were studied through quantum chemistry and multivariate analysis. The geometry optimization of the structures was realized with the Hartree-Fock (HF) theory and 3-21G basis set. Maps of molecular electrostatic potential (MEP) and molecular docking were used to investigate the interaction between the ligands and the receptor (heme). Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were employed to select the most important descriptors related to activity. A predictive model was generated by the Partial Least Square (PLS) method through 15 molecules and 4 used as an external validation set, which were selected in the training set, the validation parameters of which are Q2 = 0.85 and R2 = 0.86. The model included as molecular parameters, the radial distribution function, RDF060e, the hydration energy, HE, and the distance between the O1 atom from the ligand and the iron atom from heme, d(Fe-O1). Thus, the synthesis of new derivatives may follow the results of the MEP maps and the PLS analysis.

scholarly journals The Dynamic Computer Workstation—A Pilot Study of Clinical and Biochemical Investigation during Work at Static Respectively Mobile Keyboards

2021 ◽  
Vol 18 (4) ◽  
pp. 1493
Author(s):  
Bijar Ghafouri ◽  
Karin Wåhlén ◽  
Ulrika Wentzel-Olausson ◽  
Staffan Smeds
Keyword(s):  
Univariate Analysis ◽  
Pressure Pain Threshold ◽  
Trapezius Muscle ◽  
Work Force ◽  
Partial Least Square ◽  
Least Square ◽  
Shoulder Muscles ◽  
Increased Risk ◽  
Before And After ◽  
Shoulder Strength

A large and increasing number of the work force in the population spend their work hours at the keyboard. There is evidence that repetitive high levels of static work, or extreme working postures involving the neck–shoulder muscles are an increased risk for chronic neck–shoulder pain. The aim of this study was to investigate the effect of dynamic computer working (DCW), using a mobile application to the desk surface, on pain characteristics and biomarkers in office workers. We included 10 female subjects. All subjects answered questionnaires about general health, pain intensity and characteristics. The pressure pain threshold (PPT), neck range and motion, neck and shoulder strength were measured. Microdialysis was conducted in trapezius muscle. Measurements were performed before and 4 weeks after DCW. Multivariate analysis, orthogonal partial least square discriminate analysis (OPLS-DA) and univariate analysis paired test, Wilcoxon, was performed. There was significant improvement in reported neck pain, quality of life, and psychological distress after 4 weeks DCW. The PPT and strength in neck and shoulder were significantly increased after DCW. A significant OPLS-DA model showed clear separation between the samples collected before and after 4 weeks DCW. In conclusion, these results show that keyboard work at a movable desk application might decrease the risk of repetitive strain injuries in the neck and shoulder muscles.

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