Tryptophan and purine metabolites are consistently upregulated in the urinary metabolome of patients diagnosed with gestational diabetes mellitus throughout pregnancy: A longitudinal metabolomics study of Chinese pregnant women part 2

The hair metabolome has been recognized as a valuable source of information in pregnancy research, as it provides stable metabolite information that could assist with studying biomarkers or metabolic mechanisms of pregnancy and its complications. We tested the hypothesis that hair segments could be used to reflect a metabolite profile containing information from both endogenous and exogenous compounds accumulated during the nine months of pregnancy. Segments of hair samples corresponding to the trimesters were collected from 175 pregnant women in New Zealand. The hair samples were analysed using gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry. In healthy pregnancies, 56 hair metabolites were significantly different between the first and second trimesters, while 62 metabolites were different between the first and third trimesters (p < 0.05). Additionally, three metabolites in the second trimester hair samples were significantly different between healthy controls and women who delivered small-for-gestational-age infants (p < 0.05), and ten metabolites in third trimester hair were significantly different between healthy controls and women with gestational diabetes mellitus (p < 0.01). The findings from this pilot study provide improved insight into the changes of the hair metabolome during pregnancy, as well as highlight the potential of the maternal hair metabolome to differentiate pregnancy complications from healthy pregnancies.

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“…Lower levels of tryptophan in the women who developed GDM in our study support Law et al . (2017)’s findings 37 .…”

Section: Discussionmentioning

confidence: 92%

“…A previous study investigating the urine metabolome of Chinese women found that tryptophan metabolism was significantly higher in women who developed GDM, as evidenced by an increased number of metabolites associated with tryptophan degradation 37 . Lower levels of tryptophan in the women who developed GDM in our study support Law et al .…”

Section: Discussionmentioning

confidence: 95%

Analysis of sequential hair segments reflects changes in the metabolome across the trimesters of pregnancy

Delplancke

Seymour

Tong

et al. 2018

Sci Rep

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“…To account for the repeated measurements of the same subject at different stages of pregnancy (the longitudinal data set), multilevel statistics 14 was used 8 , 9 . The three most promising normalisation methods were further interrogated with multilevel analysis.…”

Section: Resultsmentioning

confidence: 99%

Analytical challenges of untargeted GC-MS-based metabolomics and the critical issues in selecting the data processing strategy

et al. 2017

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Background: A challenge of metabolomics is data processing the enormous amount of information generated by sophisticated analytical techniques. The raw data of an untargeted metabolomic experiment are composited with unwanted biological and technical variations that confound the biological variations of interest. The art of data normalisation to offset these variations and/or eliminate experimental or biological biases has made significant progress recently. However, published comparative studies are often biased or have omissions. Methods: We investigated the issues with our own data set, using five different representative methods of internal standard-based, model-based, and pooled quality control-based approaches, and examined the performance of these methods against each other in an epidemiological study of gestational diabetes using plasma. Results: Our results demonstrated that the quality control-based approaches gave the highest data precision in all methods tested, and would be the method of choice for controlled experimental conditions. But for our epidemiological study, the model-based approaches were able to classify the clinical groups more effectively than the quality control-based approaches because of their ability to minimise not only technical variations, but also biological biases from the raw data. Conclusions: We suggest that metabolomic researchers should optimise and justify the method they have chosen for their experimental condition in order to obtain an optimal biological outcome.

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“…Furthermore, our study showed that the peak pair number increased from 1118 to 5667 per sample after using the Zerofill and IsoMS-Quant Program to retrieve missing values, mostly metabolites with low intensities; thus, we were able to obtain a more comprehensive profile of the urine metabolome of cardiac surgery patients. Compared with a label-free strategy, which yields a total of about 15,000 metabolite signals or features and most of them are redundant and noise peaks 22,23 , our platform offers a number of advantages. First, our method was capable of detecting all hydrophilic compounds, which are difficult detect in label-free systems owing to poor binding or the weaker power of RPLC to separate hydrophilic compounds.…”

Section: Discussionmentioning

confidence: 99%

Bretschneider solution-induced alterations in the urine metabolome in cardiac surgery patients

Lee

Hsieh

Chen

et al. 2018

Sci Rep

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The development of Bretschneider’s histidine-tryptophan-ketoglutarate (HTK) cardioplegia solution represented a major advancement in cardiac surgery, offering significant myocardial protection. However, metabolic changes induced by this additive in the whole body have not been systematically investigated. Using an untargeted mass spectrometry-based method to deeply explore the urine metabolome, we sought to provide a holistic and systematic view of metabolic perturbations occurred in patients receiving HTK. Prospective urine samples were collected from 100 patients who had undergone cardiac surgery, and metabolomic changes were profiled using a high-performance chemical isotope labeling liquid chromatography-mass spectrometry (LC-MS) method. A total of 14,642 peak pairs or metabolites were quantified using differential 13C-/12C-dansyl labeling LC-MS, which targets the amine/phenol submetabolome from urine specimens. We identified 223 metabolites that showed significant concentration change (fold change > 5) and assembled several potential metabolic pathway maps derived from these dysregulated metabolites. Our data indicated upregulated histidine metabolism with subsequently increased glutamine/glutamate metabolism, altered purine and pyrimidine metabolism, and enhanced vitamin B6 metabolism in patients receiving HTK. Our findings provide solid evidence that HTK solution causes significant perturbations in several metabolic pathways and establish a basis for further study of key mechanisms underlying its organ-protective or potential harmful effects.

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Tryptophan and purine metabolites are consistently upregulated in the urinary metabolome of patients diagnosed with gestational diabetes mellitus throughout pregnancy: A longitudinal metabolomics study of Chinese pregnant women part 2

Cited by 68 publications

References 76 publications

Analysis of sequential hair segments reflects changes in the metabolome across the trimesters of pregnancy

Analysis of sequential hair segments reflects changes in the metabolome across the trimesters of pregnancy

Analytical challenges of untargeted GC-MS-based metabolomics and the critical issues in selecting the data processing strategy

Bretschneider solution-induced alterations in the urine metabolome in cardiac surgery patients

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