Integrated profiling of metabolites and trace elements reveals a multifaceted malnutrition in pregnant women from a region with a high prevalence of congenital malformations

Su, Mingming; Zheng, Xiaoyun; Zhang, Ting; Pei, Lijun; Wang, Fang; Zheng, Xiaojiao; Gu, Xue; Song, Xiaomin; Lü, Xiaolin; Chen, Gong; Bao, Yihua; Chen, Tianlu; Zhao, Aihua; Bao, Yuqian; Zeisel, Steven H.; Wang, Jia

doi:10.1007/s11306-011-0378-0

Cited by 3 publications

(2 citation statements)

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“…This pattern recognition method can distinguish the ‘among-groups’ and ‘within-groups’ variability, and thereby extract the most relevant information in differences among groups to build the classification model [ 14 , 45 ]. Therefore, the PLS-DA model can maximize systematic variations among groups, and thus achieve global separation profile among groups [ 46 ]. Additionally, PLS-DA plays a unique role in the identification of the most important variables and handling of highly collinear data [ 47 , 48 ].…”

Section: Discussionmentioning

confidence: 99%

Nutrient Intake Is Associated with Longevity Characterization by Metabolites and Element Profiles of Healthy Centenarians

Cai

Zhao

et al. 2016

Nutrients

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The relationships between diet and metabolites as well as element profiles in healthy centenarians are important but remain inconclusive. Therefore, to test the interesting hypothesis that there would be distinctive features of metabolites and element profiles in healthy centenarians, and that these would be associated with nutrient intake; the short chain fatty acids (SCFAs), total bile acids and ammonia in feces, phenol, p-cresol, uric acid, urea, creatinine and ammonia in urine, and element profiles in fingernails were determined in 90 healthy elderly people, including centenarians from Bama county (China)—a famous longevous region—and elderly people aged 80–99 from the longevous region and a non-longevous region. The partial least squares-discriminant analysis was used for pattern recognition. As a result, the centenarians showed a distinct metabolic pattern. Seven characteristic components closely related to the centenarians were identified, including acetic acid, total SCFA, Mn, Co, propionic acid, butyric acid and valeric acid. Their concentrations were significantly higher in the centenarians group (p < 0.05). Additionally, the dietary fiber intake was positively associated with butyric acid contents in feces (r = 0.896, p < 0.01), and negatively associated with phenol in urine (r = −0.326, p < 0.01). The results suggest that the specific metabolic pattern of centenarians may have an important and positive influence on the formation of the longevity phenomenon. Elevated dietary fiber intake should be a path toward health and longevity.

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Section: Discussionmentioning

confidence: 99%

Nutrient Intake Is Associated with Longevity Characterization by Metabolites and Element Profiles of Healthy Centenarians

Cai

Zhao

et al. 2016

Nutrients

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“…In consideration of the limited number of samples, we used this method in the present study to build the classification model and identify characteristic elements. To date, the studies on applying OPLS-DA for pattern recognition only focus on the relationship between a specific disease and element profiles in human body [17,18]. However, there are no reports on using OPLS-DA to investigate the feature of element profiles in nails of healthy elderly people.…”

Section: Introductionmentioning

confidence: 99%

A Correlation Between Diet and Longevity Characterization by Means of Element Profiles in Healthy People over 80 Years from a Chinese Longevous Region

Cai

Zhao

et al. 2015

Biol Trace Elem Res

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Monitoring the element concentrations in the human body is of critical importance for health and longevity. In order to explore the formation mechanism of longevity from the perspective of the body's element loads, this study investigated the prominent feature of element profiles in healthy people over 80 years from Bama County (China), a famous longevous region (LR). The element profiles in nails of elderly people from the LR and a non-longevous region were determined by inductively coupled plasma mass spectrometry, using orthogonal projections to latent structures discriminant analysis (OPLS-DA) for pattern recognition. As a result, four characteristic elements closely related to the healthy elderly people from LR, including Cr, Fe, Mn, and Co, were identified. The concentrations of Cr, Fe, Mn, and Co were significantly increased in the LR group (p < 0.05). The values of fold change of Cr, Fe, Mn, and Co were 3.00, 2.46, 2.24, and 2.21, respectively. These characteristic elements could provide an important material guarantee for health and longevity of elderly people in the LR. The further correlation analysis revealed significant positive correlations between the Sr (r = 0.886), Mn (r = 0.873), Ni (r = 0.786), and Co (r = 0.738) concentrations in nails of elderly people and those in drinking water. Furthermore, significant positive correlations were found between the Se (r = 0.940), Mn (r = 0.833), and Fe (r = 0.733) concentrations in nails and their dietary intake. Consequently, the observations suggested that diet could provide extraordinary reference information in terms of reflecting the feature of element profiles in healthy elderly people over 80 years from the LR.

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Strategies for Data Handling and Statistical Analysis in Metabolomics Studies

Defernez

Gall

2013

Advances in Botanical Research

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Integrated profiling of metabolites and trace elements reveals a multifaceted malnutrition in pregnant women from a region with a high prevalence of congenital malformations

Cited by 3 publications

References 62 publications

Nutrient Intake Is Associated with Longevity Characterization by Metabolites and Element Profiles of Healthy Centenarians

Nutrient Intake Is Associated with Longevity Characterization by Metabolites and Element Profiles of Healthy Centenarians

A Correlation Between Diet and Longevity Characterization by Means of Element Profiles in Healthy People over 80 Years from a Chinese Longevous Region

Strategies for Data Handling and Statistical Analysis in Metabolomics Studies

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