scholarly journals Relationship between amniotic fluid metabolic profile with fetal gender, maternal age, and gestational week

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yahong Li ◽  
Yun Sun ◽  
Xiaojuan Zhang ◽  
Xin Wang ◽  
Peiying Yang ◽  
...  
Keyword(s):  
Amniotic Fluid ◽  
Maternal Age ◽  
Metabolic Profile ◽  
Partial Least Square ◽  
Least Square ◽  
Metabolic Profiles ◽  
Discrimination Analysis ◽  
Fetal Gender ◽  
Significant Difference ◽  
Gestational Week

Abstract Background Amniotic fluid (AF) provides vital information on fetal development, which is also valuable in identifying fetal abnormalities during pregnancy. However, the relationship between the metabolic profile of AF in the second trimester of a normal pregnancy with several maternal–fetal parameters remains poorly understood, which therefore limits its application in clinical practice. The aim of this study was to explore the association between the metabolic profile of AF with fetal gender, maternal age, and gestational week using an untargeted metabolomics method. Methods A total of 114 AF samples were analyzed in this study. Clinical data on fetal gender, maternal age, and gestational week of these samples were collected. Samples were analyzed by gas chromatography/time-of-flight-mass spectrometry (GC-TOF/MS). Principal component analysis(PCA), orthogonal partial least square discrimination analysis(OPLS-DA) or partial least square discrimination analysis (PLS-DA) were conducted to compare metabolic profiles, and differential metabolites were obtained by univariate analysis. Results Both PCA and OPLS-DA demonstrated no significant separation trend between the metabolic profiles of male and female fetuses, and there were only 7 differential metabolites. When the association between the maternal age on AF metabolic profile was explored, both PCA and PLS-DA revealed that the maternal age in the range of 21 to 40 years had no significant effect on the metabolic profile of AF, and only four different metabolites were found. There was no significant difference in the metabolic profiles of AF from fetuses of 17–22 weeks, and 23 differential metabolites were found. Conclusions In the scope of our study, there was no significant correlation between the AF metabolic profile and the fetal gender, maternal age and gestational week of a small range. Nevertheless, few metabolites appeared differentially expressed.

scholarly journals Relationship Between Amniotic Fluid Metabolic Profile With Fetal Gender, Maternal Age, and Gestational Age

2021 ◽  
Author(s):  
Yahong Li ◽  
Yun Sun ◽  
Xiaojuan Zhang ◽  
Xin Wang ◽  
Peiying Yang ◽  
...  
Keyword(s):  
Amniotic Fluid ◽  
Gestational Age ◽  
Maternal Age ◽  
Metabolic Profile ◽  
Normal Pregnancy ◽  
Partial Least Square ◽  
Least Square ◽  
Metabolic Profiles ◽  
Discrimination Analysis ◽  
Fetal Gender

Abstract Background Amniotic fluid (AF) provides vital information on fetal development, which is also valuable in identifying fetal abnormalities during pregnancy. However, the relationship between the metabolic profile of AF in the second trimester of a normal pregnancy with several maternal-fetal parameters remains poorly understood, which therefore limits its application in clinical practice. The aim of this study was to explore the association between the metabolic profile of AF with fetal gender, maternal age, and gestational age using an untargeted metabolomics method. Methods A total of 114 AF samples of normal pregnancy were selected. Clinical data on fetal gender, maternal age, and gestational week of these samples were collected. Samples were analyzed by gas chromatography/time-of-flight-mass spectrometry (GC-TOF/MS). Principal component analysis(PCA), orthogonal partial least square discrimination analysis༈OPLS-DA༉or partial least square discrimination analysis (PLS-DA) were conducted to compare metabolic profiles, and differential metabolites were obtained by univariate analysis. Results Both PCA and OPLS-DA demonstrated no significant separation trend between the metabolic profiles of male and female fetuses, and there were only 7 differential metabolites. When the association between the maternal age on AF metabolic profile was explored, both PCA and PLS-DA revealed that the maternal age in the range of 21 to 40 years had no significant effect on the metabolic profile of AF, and only four different metabolites were found. There was no significant difference in the metabolic profiles of AF from fetuses of 17–22 weeks, and 23 differential metabolites were found. Conclusions In the scope of our study, there was no significant correlation between the AF metabolic profile and the fetal gender, maternal age and gestational age of a small range. Nevertheless, few metabolites appeared differentially expressed.

scholarly journals Changes in the Salivary Metabolic Profile of Generalized Periodontitis Patients after Non-surgical Periodontal Therapy: A Metabolomic Analysis Using Nuclear Magnetic Resonance Spectroscopy

2020 ◽  
Vol 9 (12) ◽  
pp. 3977
Author(s):  
Filippo Citterio ◽  
Federica Romano ◽  
Gaia Meoni ◽  
Giovanni Iaderosa ◽  
Silvia Grossi ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Metabolic Profile ◽  
Periodontal Therapy ◽  
Partial Least Square ◽  
Least Square ◽  
Resonance Spectroscopy ◽  
Metabolic Profiles ◽  
Multivariate Statistical ◽  
Nuclear Magnetic

Pattern analysis of the salivary metabolic profile has been proven accurate in discriminating between generalized periodontitis (GP) patients and healthy individuals (HI), as this disease modifies the salivary concentrations of specific metabolites. Due to the scarcity of data from previous studies, this study aimed to evaluate if non-surgical periodontal therapy (NST) could affect the metabolomic profile in GP patients’ saliva and if it compares to that of HI. Unstimulated salivary samples were collected from 11 HI and 12 GP patients before and 3 months after NST. Nuclear Magnetic Resonance (NMR) spectroscopy, followed by a supervised multivariate statistical approach on entire saliva spectra and partial least square (PLS) discriminant analysis, were performed to obtain metabolic profiles. In the GP group, periodontal treatment improved all clinical parameters, but not all the diseased sites were eradicated. PLS revealed an accuracy of 100% in distinguishing between metabolic profiles of GP patients before and after NST. Orthogonal projection to latent structure was able to discriminate between the three groups of subjects with an accuracy of 85.6%. However, the post-NST metabolic profile of GP patients could not be completely assimilated to that of HI. Although NST may produce significant changes in the metabolic profile, GP patients maintained a distinctive fingerprint compared to HI.

scholarly journals Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2195
Author(s):  
Lucas de Paula Corrêdo ◽  
Leonardo Felipe Maldaner ◽  
Helizani Couto Bazame ◽  
José Paulo Molin
Keyword(s):  
Sample Preparation ◽  
Prediction Models ◽  
Spectral Response ◽  
Nir Spectroscopy ◽  
Quality Parameters ◽  
Partial Least Square ◽  
Least Square ◽  
Sample Type ◽  
Sampling Strategies ◽  
Significant Difference

Proximal sensing for assessing sugarcane quality information during harvest can be affected by various factors, including the type of sample preparation. The objective of this study was to determine the best sugarcane sample type and analyze the spectral response for the prediction of quality parameters of sugarcane from visible and near-infrared (vis-NIR) spectroscopy. The sampling and spectral data acquisition were performed during the analysis of samples by conventional methods in a sugar mill laboratory. Samples of billets were collected and four modes of scanning and sample preparation were evaluated: outer-surface (‘skin’) (SS), cross-sectional scanning (CSS), defibrated cane (DF), and raw juice (RJ) to analyze the parameters soluble solids content (Brix), saccharose (Pol), fibre, pol of cane and total recoverable sugars (TRS). Predictive models based on Partial Least Square Regression (PLSR) were built with the vis-NIR spectral measurements. There was no significant difference (p-value > 0.05) between the accuracy SS and CSS samples compared to DF and RJ samples for all prediction models. However, DF samples presented the best predictive performance values for the main sugarcane quality parameters, and required only minimal sample preparation. The results contribute to advancing the development of on-board quality monitoring in sugarcane, indicating better sampling strategies.

scholarly journals Different spectrophotometric and TLC-densitometric methods for determination of olmesartan medoxomil and hydrochlorothiazide and their degradation products

2018 ◽  
Vol 9 (4) ◽  
pp. 400-407 ◽  
Author(s):  
Selvia Maged Adly ◽  
Maha Mohamed Abdelrahman ◽  
Nada Sayed Abdelwahab ◽  
Nourudin Wageh Ali
Keyword(s):  
Multivariate Calibration ◽  
Degradation Products ◽  
External Validation ◽  
Olmesartan Medoxomil ◽  
Partial Least Square ◽  
Least Square ◽  
Pharmaceutical Dosage Form ◽  
Calibration Models ◽  
Significant Difference

In this work, multivariate calibration models and TLC-densitometric methods have been developed and validated for quantitative determination of olmesartan medoxomil (OLM) and hydrochlorothiazide (HCZ) in presence of their degradation products, olmesartan (OL) and salamide (SAL), respectively. In the first method, multivariate calibration models including principal component regression (PCR) and partial least square (PLS) were applied. The wavelength range 210-343 nm was used and data was auto-scaled and mean centered as pre-processing steps for PCR and PLS models, respectively. These models were tested by application to external validation set with mean percentage recoveries 99.78, 100.01, 100.41 and 100.46% for OLM, HCZ, OL and SAL, respectively, for PLS model and also, 100.22, 100.40, 102.25 and 100.13% for them, respectively, for PCR model. The second method is TLC-densitometry at which the chromatographic separation was carried out using silica gel 60F254 TLC plates and the developing system consisted of a mixture of ethyl acetate:chloroform:methanol: formic acid:tri-ethylamine (60:40:4:4:1, by volume) with UV-scanning at 254 nm. The developed methods were successfully applied for determination of OLM and HCZ in their pharmaceutical dosage form. Also, statistical comparison was made between the developed methods and the reported method using student’s-t test and F-test and results showed that there was no significant difference between them concerning both accuracy and precision.

Neonatal metabolome of cesarean section and risk of childhood asthma

2021 ◽  
pp. 2102406
Author(s):  
Gözde Gürdeniz ◽  
Madeleine Ernst ◽  
Daniela Rago ◽  
Min Kim ◽  
Julie Courraud ◽  
...  
Keyword(s):  
Cesarean Section ◽  
Cord Blood ◽  
Gut Microbiome ◽  
Childhood Asthma ◽  
Metabolic Profile ◽  
Partial Least Square ◽  
Least Square ◽  
Microbial Colonization ◽  
Increased Risk ◽  
Microbiome Data

BackgroundBirth by cesarean section (CS) is linked to an increased risk of developing asthma, but the underlying mechanisms are unclear.ObjectiveTo elucidate the link between birth by CS and asthma using newborn metabolomic profiles and integrating early life gut microbiome data and cord blood immunology.MethodsWe investigated the influence of CS on liquid chromatography mass spectrometry (LC-MS) metabolomic profiles of dried blood spots from newborns of the two independent Copenhagen Prospective Studies on Asthma in Childhood cohorts, i.e. COPSAC2010 (n=677) and COPSAC2000 (n=387). We assessed the associations between the CS metabolic profile, age one-week gut microbiome data and frequency of cord blood Tregs.ResultsIn COPSAC2010, a partial least square-discriminant analysis (PLS-DA) model showed that children born by CS versus natural delivery had different metabolic profiles (AUC=0.77, p=2.2e-16), which was replicated in COPSAC2000 (AUC=0.66, p=1.2e-5). The metabolic profile of CS was significantly associated with an increased risk of asthma at school-age in both COPSAC2010 (p=0.03) and COPSAC2000 (p=0.005). CS was associated with lower abundance of tryptophan, bile acid and phenylalanine metabolites, indicative of a perturbed gut microbiota. Further, gut bacteria dominating after natural delivery, i.e. Bifidobacterium and Bacteroides were correlated with CS-discriminative microbial metabolites, suggesting maternal microbial transmission during birth regulating the newborn's metabolism. Finally, the CS metabolic profile was associated with frequency of cord blood Tregs.ConclusionsThese findings propose that CS is programming the risk of childhood asthma through perturbed immune responses and gut microbial colonization patterns reflected in the blood metabolome at birth.

Examining the Moderating Effects of Time-Since-Adoption on the Nexus Between Business Intelligence Systems and Organisational Performance

2019 ◽  
Vol 10 (3) ◽  
pp. 49-68
Author(s):  
Acheampong Owusu
Keyword(s):  
Organizational Performance ◽  
Balanced Scorecard ◽  
Business Intelligence ◽  
Structural Equation ◽  
Business Processes ◽  
Partial Least Square ◽  
Least Square ◽  
Organisational Performance ◽  
The Balanced Scorecard ◽  
Significant Difference

This article investigates the post-adoption impacts of business intelligence (BI) systems on organisational performance of Ghanaian banks through the lens of the balanced scorecard. It also examines if time-since-adoption moderates the hypothesized relationship between BI systems adoption and the banks' organizational performance. A survey data of 130 Ghanaian bank officials was analysed through a partial least square structural equation modelling (PLS-SEM) approach to examine the relationship among the study constructs. The results indicated that BI Systems indeed impacted significantly on Ghanaian banks' organisational performance by improving employee learning and growth, enhancing their internal business processes and improving their customer management performances. Nonetheless, BI Systems did not have a direct significant effect on the banks financial performance. Moreover, the findings show that there is no significant difference between early-adopters and late-adopters in terms of BI Systems impacts on the banks' organisational performance. Other implications are also discussed.

scholarly journals Influence of maternal age, gestational age and fetal gender on expression of immune mediators in amniotic fluid

2012 ◽  
Vol 5 (1) ◽  
Author(s):  
Tobias Weissenbacher ◽  
Rüdiger P Laubender ◽  
Steven S Witkin ◽  
Andrea Gingelmaier ◽  
Barbara Schiessl ◽  
...  
Keyword(s):  
Amniotic Fluid ◽  
Gestational Age ◽  
Maternal Age ◽  
Immune Mediators ◽  
Fetal Gender

scholarly journals Geometric Morphometrics Captures Variations in Wing Development of Black Soldier Flies

2021 ◽  
Author(s):  
Obediah Gyimah ◽  
Rofela Combey ◽  
Ebenezer Ato Ewusie ◽  
Isaac Badu ◽  
Simon Yeboah ◽  
...  
Keyword(s):  
Organic Fertilizer ◽  
Partial Least Square ◽  
Least Square ◽  
Wing Development ◽  
Black Soldier Fly ◽  
Significant Difference ◽  
The Impact ◽  
Food Substrate ◽  
Anal Vein ◽  
Food Substrates

Abstract The black soldier fly is considered an important insect due to its ability to convert organic wast into high quality organic fertilizer. Studies have shown that food quality at the larvae stage contributes greatly to their development. In this study, we applied geometric morphometric measurements to access the variations in the black soldier fly fed on different food substrates as captured in the wings. Eggs of black soldier fly were collected from the field and cultured on different food substrates such as; restaurant waste, fruit waste, wheat brand and layer meal until maturity. The right fore wing of 140 individuals of black were used for the experiment. The results showed a significant difference between the shape of landmarks within each food substrate group. Landmark 3, 7 and 9, corresponding to end of first radial vein R1, intersession between medio-cubital vein and cubito-anal vein (m-cu and CuA), and intersission between cubito Anal vein and Anal vein (CuA + Cup) contributed most to the variation between the different food substrates. Partial least square showed a strong association between food substrate and wing development. Therefore, the variations in wing development could be due to the impact of nutritional compositions quality of the different food substrates.

scholarly journals ANALISIS DAMPAK REMUNERASI DAN LINGKUNGAN KERJA TERHADAP KINERJA DOKTER SPESIALIS DENGAN MOTIVASI KERJA SEBAGAI VARIABEL MEDIASI

2019 ◽  
Vol 8 (1) ◽  
pp. 48
Author(s):  
Hartati Hartati ◽  
Rima Semiarty ◽  
Verinita Verinita
Keyword(s):  
Work Motivation ◽  
Partial Least Square ◽  
Least Square ◽  
Working Environment ◽  
P Value ◽  
Hospital Organization ◽  
Significant Difference ◽  
And Performance ◽  
The Impact ◽  
Motivation To Work

Performance specialists is something that is very important in order to achieve the objectives Hospital Organization for specialists is the frontline in the service of clients in the hospital so important to know the factors that influence it. The purpose of this study is to describe the impact / influence of the system of remuneration and working environment on the performance and motivation as an intervening or mediating variable in the installation department of obstetrics and child XYZ Hospital Padang. This study uses a quantitative approach to research explanatori. Sampling in the Census, ie as many as 36 people obstetricians and children. Data analysis technique used in this study using the approach Partial Least Square (PLS). The results showed that there was no significant effect between remuneration and the performance of the T statistics amounted to 0.549 (less than 1.96) and the p value 0.002 (greater than 0.05) so the hypothesis is rejected. No significant difference between the work environment and performance statisticsT is smaller than TTable and p value is greater than alpha so the hypothesis is rejected. No significant difference between the motivation to work on performance because the hypothesis is rejected. A significant difference between the remuneration and motivation to work as much as 2.8%. No significant difference between the working environment on work motivation for the hypothesis is rejected. While remuneration on performance mediated by labor motivation does not have a significant effect.

scholarly journals Multivariate method for prediction of fumonisins B1 and B2 and zearalenone in Brazilian maize using Near Infrared Spectroscopy (NIR)

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244957
Author(s):  
Denize Tyska ◽  
Adriano Olnei Mallmann ◽  
Juliano Kobs Vidal ◽  
Carlos Alberto Araújo de Almeida ◽  
Luciane Tourem Gressler ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
External Validation ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Contamination Level ◽  
Internal Validation ◽  
Significant Difference

Fumonisins (FBs) and zearalenone (ZEN) are mycotoxins which occur naturally in grains and cereals, especially maize, causing negative effects on animals and humans. Along with the need for constant monitoring, there is a growing demand for rapid, non-destructive methods. Among these, Near Infrared Spectroscopy (NIR) has made great headway for being an easy-to-use technology. NIR was applied in the present research to quantify the contamination level of total FBs, i.e., fumonisin B1+fumonisin B2 (FB1+FB2), and ZEN in Brazilian maize. From a total of six hundred and seventy-six samples, 236 were analyzed for FBs and 440 for ZEN. Three regression models were defined: one with 18 principal components (PCs) for FB1, one with 10 PCs for FB2, and one with 7 PCs for ZEN. Partial least square regression algorithm with full cross-validation was applied as internal validation. External validation was performed with 200 unknown samples (100 for FBs and 100 for ZEN). Correlation coefficient (R), determination coefficient (R2), root mean square error of prediction (RMSEP), standard error of prediction (SEP) and residual prediction deviation (RPD) for FBs and ZEN were, respectively: 0.809 and 0.991; 0.899 and 0.984; 659 and 69.4; 682 and 69.8; and 3.33 and 2.71. No significant difference was observed between predicted values using NIR and reference values obtained by Liquid Chromatography Coupled to Tandem Mass Spectrometry (LC-MS/MS), thus indicating the suitability of NIR to rapidly analyze a large numbers of maize samples for FBs and ZEN contamination. The external validation confirmed a fair potential of the model in predicting FB1+FB2 and ZEN concentration. This is the first study providing scientific knowledge on the determination of FBs and ZEN in Brazilian maize samples using NIR, which is confirmed as a reliable alternative methodology for the analysis of such toxins.

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