scholarly journals Statistical Optimization of Urinary Organic Acids Analysis by a Multi-Factorial Design of Experiment

Analytica ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Marco Pazzi ◽  
Sara Colella ◽  
Eugenio Alladio ◽  
M. Paola Puccinelli ◽  
Giulio Mengozzi ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Linear Regression ◽  
Organic Acids ◽  
Design Of Experiment ◽  
Inborn Errors Of Metabolism ◽  
Principal Component ◽  
Inborn Errors ◽  
Organic Acidurias ◽  
Urinary Organic Acids ◽  
High Yields

The analysis of urinary organic acids is useful for patients suspected to have inborn errors of metabolism known as organic acidurias. These diseases cause an accumulation of organic acids in body fluids and their abnormal excretion in urines. By means of chemometrics tools, such as principal component analysis and multiple linear regression, it was concluded that the conditions used in our laboratory are really the most suitable to achieve high yields of analytes.

scholarly journals Spectrum analysis of inborn errors of metabolism for expanded newborn screening in a northwestern Chinese population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ruixue Zhang ◽  
Rong Qiang ◽  
Chengrong Song ◽  
Xiaoping Ma ◽  
Yan Zhang ◽  
...  
Keyword(s):  
Newborn Screening ◽  
Inborn Errors Of Metabolism ◽  
Northwest China ◽  
Methylmalonic Acidemia ◽  
Shaanxi Province ◽  
Inborn Errors ◽  
Organic Acidurias ◽  
Genetic Characteristics ◽  
Disease Spectrum ◽  
Expanded Newborn Screening

AbstractExpanded newborn screening facilitates early identification and intervention of patients with inborn errors of metabolism (IEMs), There is a lack of disease spectrum data for many areas in China. To determine the disease spectrum and genetic characteristics of IEMs in Xi'an city of Shaanxi province in northwest China, 146152 newborns were screening by MSMS from January 2014 to December 2019 and 61 patients were referred to genetic analysis by next generation sequencing (NGS) and validated by Sanger sequencing. Seventy-five newborns and two mothers were diagnosed with IEMs, with an overall incidence of 1:1898 (1:1949 without mothers). There were 35 newborns with amino acidemias (45.45%, 1:4176), 28 newborns with organic acidurias (36.36%, 1:5220), and 12 newborns and two mothers with FAO disorders (18.18%; 1:10439 or 1:12179 without mothers). Phenylketonuria and methylmalonic acidemia were the two most common disorders, accounting for 65.33% (49/75) of all confirmed newborn. Some hotspot mutations were observed for several IEMs, including PAH gene c.728G>A for phenylketonuria; MMACHC gene c.609G>A and c.567dupT, MMUT gene c.323G>A for methylmalonic acidemia and SLC25A13 gene c.852_855del for citrin deficiency. Our study provides effective clinical guidance for the popularization and application of expanded newborn screening, genetic screening, and genetic counseling of IEMs in this region.

Principal component analysis for functional data

2018 ◽  
Author(s):  
Peter Hall
Keyword(s):  
Principal Component Analysis ◽  
Linear Regression ◽  
Functional Data ◽  
Weighted Least Squares ◽  
Principal Component ◽  
Adaptive Methods ◽  
Component Analysis ◽  
Infinite Dimensional ◽  
Role Of Principal ◽  
Functional Linear Regression

This article discusses the methodology and theory of principal component analysis (PCA) for functional data. It first provides an overview of PCA in the context of finite-dimensional data and infinite-dimensional data, focusing on functional linear regression, before considering the applications of PCA for functional data analysis, principally in cases of dimension reduction. It then describes adaptive methods for prediction and weighted least squares in functional linear regression. It also examines the role of principal components in the assessment of density for functional data, showing how principal component functions are linked to the amount of probability mass contained in a small ball around a given, fixed function, and how this property can be used to define a simple, easily estimable density surrogate. The article concludes by explaining the use of PCA for estimating log-density.

Dimensioni e direttrici del mutamento socio-economico in prospettiva territoriale dal 1951 a oggi

2013 ◽  
pp. 78-92
Author(s):  
Domenico Maddaloni ◽  
Fiorenzo Parziale
Keyword(s):  
Principal Component Analysis ◽  
Linear Regression ◽  
Southern Italy ◽  
Principal Component ◽  
Research Strategy ◽  
Two Phase ◽  
Economic Changes ◽  
Local Contexts ◽  
Italian Provinces ◽  
History Of

In this study we go back to examine the economic and sociological changes throughout the local contexts and divisions of our country. The instrument used is a research strategy that combines a two-phase principal component analysis developed by Di Franco and Marradi with multiple linear regression. From data inherent to four key moments in the recent history of Southern Italy and the whole country - 1951, 1971, 1991 and 2007 - we obtain four «photographs» of dimensions that clarify the structure of the selected variables. We then propose two models of path analysis that underline the causal links between the factors emerged from the PCA, in order to reconstruct the socio-economic changes in the Italian provinces from 1951 to 2007.

The Quantitative Evaluation on the Response of Climate Change upon the Sustainability of the Agricultural Production

2010 ◽  
Vol 129-131 ◽  
pp. 1161-1165
Author(s):  
Lin Chun Hou ◽  
Hui Qin Li
Keyword(s):  
Climate Change ◽  
Principal Component Analysis ◽  
Linear Regression ◽  
Agricultural Production ◽  
Agricultural Productivity ◽  
Principal Component ◽  
Environmental Condition ◽  
Land Utilization ◽  
Agricultural Society ◽  
Per Capita

The aim: quantitatively evaluate the response of climate change upon the sustainability of the agricultural production. The method: the paper selected two regions (Hubei and shan’xi province) which represented different climate environment, utilized modern statistic data, Principal Component Analysis and multivariate linear regression to quantitatively evaluate the influence of climate change upon agricultural production through isolating climate environment from arable area, land utilization and management and landform and so on. The conclusion: The study indicated that when environmental condition turned good to agriculture, the function of environmental condition to agriculture relatively decreased; the capability of agricultural society and production decreased too, and people could select the land to cultivate, where agricultural productivity is higher. And that when environmental condition turned bad to agriculture, the function of environmental condition to agriculture relatively increased; the capability of agricultural society and production increased, too; people could not put emphasis on the land where agricultural productivity is higher, whereas focused on productivity per capita.

Gas-chromatographic method of analysis for urinary organic acids. II. Description of the procedure, and its application to diagnosis of patients with organic acidurias.

1980 ◽  
Vol 26 (13) ◽  
pp. 1847-1853 ◽  
Author(s):  
K Tanaka ◽  
A West-Dull ◽  
D G Hine ◽  
T B Lynn ◽  
T Lowe
Keyword(s):  
Organic Acids ◽  
Chromatographic Method ◽  
Normal Subjects ◽  
Retention Indices ◽  
Organic Aciduria ◽  
Organic Acidurias ◽  
Urinary Organic Acids ◽  
Urinary Organic Acid Analysis ◽  
Gas Chromatographic Method ◽  
Extensive List

Abstract A gas-chromatographic method for urinary organic acid analysis is described, designed to be used routinely for the diagnosis of organic aciduria. It involves extraction of urine with ethyl acetate, dehydration of extract residues, and trimethylsilylation. Organic acids are identified by using an extensive list of retention indices published in the accompanying paper (this issue). Quantitative values are given for organic acids in urines from 50 ostensibly normal subjects. Typical chromatograms of urinary organic acids from patients with eight well-established organic acidurias are also shown.

Metabolic profiles of urinary organic acids recovered from absorbent filter paper.

1987 ◽  
Vol 33 (4) ◽  
pp. 572-576 ◽  
Author(s):  
B A Chamberlin ◽  
C C Sweeley
Keyword(s):  
Young Children ◽  
Organic Acids ◽  
Filter Paper ◽  
Metabolic Profiles ◽  
Sample Storage ◽  
Organic Acidurias ◽  
Urinary Organic Acids ◽  
Specimen Collection ◽  
Normal Urine

Abstract We evaluated for reliability and reproducibility a semiquantitative gas-chromatographic assay of organic acids in samples of normal urine recovered from absorbent filter paper. We also evaluated this method for use in diagnosis of some of the more common organic acidurias. Transfer of urine from diapers to absorbent filter paper eases the usual trauma of specimen collection from young children; it also simplifies sample storage and shipment.

The Research of Wine Quality Evaluation Based on Multiple Linear Regression

2013 ◽  
Vol 756-759 ◽  
pp. 2489-2493
Author(s):  
Huai Hui Liu ◽  
Wen Long Ji ◽  
Peng Zhang ◽  
Chuan Wen Yao
Keyword(s):  
Principal Component Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Multiple Linear Regression Model ◽  
Principal Component ◽  
Wine Grape ◽  
Wine Quality

Through the establishment of evaluation model based on principal component analysis, select 8 principal components from nearly 30 indexes of wine grape. Then we establish the multiple linear regression model and analyse the association between physicochemical indexes of wine grape and wine, and the influence of physicochemical indexes of wine grape and wine on wine quality. Finally study whether we could use the physicochemical indexes to evaluate the wine quality.

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