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Nagano E, Saito H, Mannari T, Kuge M, Odake K, Shimma S. Analysis of the Correlation between Cholesterol Levels in Blood Using Clinical Data and Hair Using Mass Spectrometry Imaging. Mass Spectrom (Tokyo) 2024; 13:A0149. [PMID: 39076408 PMCID: PMC11284271 DOI: 10.5702/massspectrometry.a0149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 07/08/2024] [Indexed: 07/31/2024] Open
Abstract
Mass spectrometry imaging (MSI) is a technique that visualizes the distribution of molecules by ionizing the components on the surface of a sample and directly detecting them. Previously, MSI using hair has primarily been used in the forensic field to detect illegal drugs. On the other hand, there are few examples of using this technology for health monitoring. In this study, hair and clinical data were collected from 24 subjects, and the correlation between blood cholesterol levels and cholesterol detected from cross-sectional hair slices was analyzed. As a result, a positive correlation with a correlation coefficient of 0.43 was observed between blood cholesterol and cholesterol detected from hair. Furthermore, when comparing the results of fluorescence staining (FS) of hair cholesterol with Filipin III and the MSI results, it was found that while FS could visualize detailed hair structures, there were cases where the results differed from MSI, possibly due to some cholesterol loss during the staining process. In the future, if various disease biomarkers can be detected using hair MSI, it could potentially become a non-invasive diagnostic method.
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Affiliation(s)
- Erika Nagano
- Miruion Inc., 7–7–20 Asagi, Saito, Suita, Osaka 567–0085, Japan
| | - Hiromi Saito
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan
| | - Tetsuya Mannari
- Cosmetic Research and Development Department, Takara Belmont Corp., Shiga, Japan
| | - Munekazu Kuge
- Cosmetic Research and Development Department, Takara Belmont Corp., Shiga, Japan
| | - Kazuki Odake
- Miruion Inc., 7–7–20 Asagi, Saito, Suita, Osaka 567–0085, Japan
| | - Shuichi Shimma
- Miruion Inc., 7–7–20 Asagi, Saito, Suita, Osaka 567–0085, Japan
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan
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Bartho LA, McKeating DR, Walker SP, Nijagal B, MacDonald TM, Pritchard N, Hannan NJ, Perkins AV, Tong S, Kaitu'u-Lino TJ. Plasma metabolites are altered before and after diagnosis of preeclampsia or fetal growth restriction. Sci Rep 2024; 14:15829. [PMID: 38982217 PMCID: PMC11233654 DOI: 10.1038/s41598-024-65947-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 06/25/2024] [Indexed: 07/11/2024] Open
Abstract
Metabolomics is the study of small molecules (metabolites), within cells, tissues and biofluids. Maternal metabolites can provide important insight into the health and development of both mother and fetus throughout pregnancy. This study assessed metabolic profiles in the maternal circulation prior to and at the time of diagnosis of preeclampsia and fetal growth restriction. Maternal plasma samples were collected from two independent cohorts: (1) Established disease cohort: 50 participants diagnosed with early-onset preeclampsia (< 34 weeks' gestation), 14 with early-onset fetal growth restriction, and 25 gestation-matched controls. (2) Prospective cohort, collected at 36 weeks' gestation before diagnosis: 17 participants later developed preeclampsia, 49 delivered infants with fetal growth restriction (birthweight < 5th centile), and 72 randomly selected controls. Metabolic evaluation was performed by Metabolomics Australia on the Agilent 6545 QTOF Mass Spectrometer. In the established disease cohort, 77 metabolites were altered in circulation from participants with preeclampsia - increased L-cysteine (3.73-fold), L-cystine (3.28-fold), L-acetylcarnitine (2.57-fold), and carnitine (1.53-fold) (p < 0.05). There were 53 metabolites dysregulated in participants who delivered a fetal growth restriction infant-including increased levulinic acid, citric acid (1.93-fold), and creatine (1.14-fold) (p < 0.05). In the prospective cohort, 30 metabolites were altered in participants who later developed preeclampsia at term - reduced glutaric acid (0.85-fold), porphobilinogen (0.77-fold) and amininohippuric acid (0.82-fold) (p < 0.05) was observed. There were 5 metabolites altered in participants who later delivered a fetal growth restriction infant - including reduced 3-methoxybenzenepropanoic acid (p < 0.05). Downstream pathway analysis revealed aminoacyl-tRNA biosynthesis to be most significantly altered in the established cohort in preeclampsia (13/48 hits, p < 0.001) and fetal growth restriction (7/48 hits, p < 0.001). The predictive cohort showed no significant pathway alterations. This study observed altered metabolites in maternal plasma collected before and after diagnosis of a preeclampsia or fetal growth restriction. While a significant number of metabolites were altered with established disease, few changes were observed in the predictive cohort. Thus, metabolites measured in this study may not be useful as predictors of preeclampsia or fetal growth restriction.
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Affiliation(s)
- Lucy A Bartho
- Translational Obstetrics Group, The Department of Obstetrics and Gynaecology, Mercy Hospital for Women, University of Melbourne, 163 Studley Road, Heidelberg, VIC, 3084, Australia.
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, VIC, Australia.
| | - Daniel R McKeating
- School of Medical Science, Griffith University, Gold Coast Campus, Parklands Drive, Southport, QLD, 4215, Australia
| | - Susan P Walker
- Translational Obstetrics Group, The Department of Obstetrics and Gynaecology, Mercy Hospital for Women, University of Melbourne, 163 Studley Road, Heidelberg, VIC, 3084, Australia
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, VIC, Australia
| | - Brunda Nijagal
- School of Medical Science, Griffith University, Gold Coast Campus, Parklands Drive, Southport, QLD, 4215, Australia
- Metabolomics Australia, Bio21, University of Melbourne, Parkville, VIC, Australia
| | - Teresa M MacDonald
- Translational Obstetrics Group, The Department of Obstetrics and Gynaecology, Mercy Hospital for Women, University of Melbourne, 163 Studley Road, Heidelberg, VIC, 3084, Australia
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, VIC, Australia
| | - Natasha Pritchard
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, VIC, Australia
| | - Natalie J Hannan
- Translational Obstetrics Group, The Department of Obstetrics and Gynaecology, Mercy Hospital for Women, University of Melbourne, 163 Studley Road, Heidelberg, VIC, 3084, Australia
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, VIC, Australia
| | - Anthony V Perkins
- School of Medical Science, Griffith University, Gold Coast Campus, Parklands Drive, Southport, QLD, 4215, Australia
| | - Stephen Tong
- Translational Obstetrics Group, The Department of Obstetrics and Gynaecology, Mercy Hospital for Women, University of Melbourne, 163 Studley Road, Heidelberg, VIC, 3084, Australia
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, VIC, Australia
| | - Tu'uhevaha J Kaitu'u-Lino
- Translational Obstetrics Group, The Department of Obstetrics and Gynaecology, Mercy Hospital for Women, University of Melbourne, 163 Studley Road, Heidelberg, VIC, 3084, Australia
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, VIC, Australia
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Miller HA, Suliman S, Frieboes HB. Pulmonary Fibrosis Diagnosis and Disease Progression Detected Via Hair Metabolome Analysis. Lung 2024:10.1007/s00408-024-00712-3. [PMID: 38861171 DOI: 10.1007/s00408-024-00712-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 05/30/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Fibrotic interstitial lung disease is often identified late due to non-specific symptoms, inadequate access to specialist care, and clinical unawareness precluding proper and timely treatment. Biopsy histological analysis is definitive but rarely performed due to its invasiveness. Diagnosis typically relies on high-resolution computed tomography, while disease progression is evaluated via frequent pulmonary function testing. This study tested the hypothesis that pulmonary fibrosis diagnosis and progression could be non-invasively and accurately evaluated from the hair metabolome, with the longer-term goal to minimize patient discomfort. METHODS Hair specimens collected from pulmonary fibrosis patients (n = 56) and healthy subjects (n = 14) were processed for metabolite extraction using 2DLC/MS-MS, and data were analyzed via machine learning. Metabolomic data were used to train machine learning classification models tuned via a rigorous combination of cross validation, feature selection, and testing with a hold-out dataset to evaluate classifications of diseased vs. healthy subjects and stable vs. progressed disease. RESULTS Prediction of pulmonary fibrosis vs. healthy achieved AUROCTRAIN = 0.888 (0.794-0.982) and AUROCTEST = 0.908, while prediction of stable vs. progressed disease achieved AUROCTRAIN = 0.833 (0.784 - 0.882) and AUROCTEST = 0. 799. Top metabolites for diagnosis included ornithine, 4-(methylnitrosamino)-1-3-pyridyl-N-oxide-1-butanol, Thr-Phe, desthiobiotin, and proline. Top metabolites for progression included azelaic acid, Thr-Phe, Ala-Tyr, indoleacetyl glutamic acid, and cytidine. CONCLUSION This study provides novel evidence that pulmonary fibrosis diagnosis and progression may in principle be evaluated from the hair metabolome. Longer term, this approach may facilitate non-invasive and accurate detection and monitoring of fibrotic lung diseases.
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Affiliation(s)
- Hunter A Miller
- Department of Bioengineering, University of Louisville, Lutz Hall 419, Louisville, KY, 40292, USA
| | - Sally Suliman
- Division of Pulmonary Medicine, University of Louisville, Louisville, KY, USA
- University of Arizona Medical Center Phoenix, Phoenix, AZ, USA
| | - Hermann B Frieboes
- Department of Bioengineering, University of Louisville, Lutz Hall 419, Louisville, KY, 40292, USA.
- UofL Health - Brown Cancer Center, University of Louisville, Louisville, KY, USA.
- Center for Predictive Medicine, University of Louisville, Louisville, KY, USA.
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Chang CW, Hsu JY, Lo YT, Liu YH, Mee-inta O, Lee HT, Kuo YM, Liao PC. Characterization of Hair Metabolome in 5xFAD Mice and Patients with Alzheimer's Disease Using Mass Spectrometry-Based Metabolomics. ACS Chem Neurosci 2024; 15:527-538. [PMID: 38269400 PMCID: PMC10853927 DOI: 10.1021/acschemneuro.3c00587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 01/11/2024] [Accepted: 01/11/2024] [Indexed: 01/26/2024] Open
Abstract
Hair emerged as a biospecimen for long-term investigation of endogenous metabolic perturbations, reflecting the chemical composition circulating in the blood over the past months. Despite its potential, the use of human hair for metabolomics in Alzheimer's disease (AD) research remains limited. Here, we performed both untargeted and targeted metabolomic approaches to profile the key metabolic pathways in the hair of 5xFAD mice, a widely used AD mouse model. Furthermore, we applied the discovered metabolites to human subjects. Hair samples were collected from 6-month-old 5xFAD mice, a stage marked by widespread accumulation of amyloid plaques in the brain, followed by sample preparation and high-resolution mass spectrometry analysis. Forty-five discriminatory metabolites were discovered in the hair of 6-month-old 5xFAD mice compared to wild-type control mice. Enrichment analysis revealed three key metabolic pathways: arachidonic acid metabolism, sphingolipid metabolism, and alanine, aspartate, and glutamate metabolism. Among these pathways, six metabolites demonstrated significant differences in the hair of 2-month-old 5xFAD mice, a stage prior to the onset of amyloid plaque deposition. These findings suggest their potential involvement in the early stages of AD pathogenesis. When evaluating 45 discriminatory metabolites for distinguishing patients with AD from nondemented controls, a combination of l-valine and arachidonic acid significantly differentiated these two groups, achieving a 0.88 area under the curve. Taken together, these findings highlight the potential of hair metabolomics in identifying disease-specific metabolic alterations and developing biomarkers for improving disease detection and monitoring.
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Affiliation(s)
- Chih-Wei Chang
- Department
of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Jen-Yi Hsu
- Department
of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Yu-Tai Lo
- Department
of Geriatrics and Gerontology, National Cheng Kung University Hospital,
College of Medicine, National Cheng Kung
University, Tainan 704, Taiwan
- Department
of Public Health, College of Medicine, National
Cheng Kung University, Tainan 704, Taiwan
| | - Yu-Hsuan Liu
- Department
of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Onanong Mee-inta
- Institute
of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan
| | - Hsueh-Te Lee
- Institute
of Anatomy and Cell Biology, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Yu-Min Kuo
- Institute
of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan
- Department
of Cell Biology and Anatomy, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan
| | - Pao-Chi Liao
- Department
of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
- Department
of Food Safety/Hygiene and Risk Management, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan
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Yin N, Jiang X, Yu M, Yang Y, Ge H, Han TL, Qi H. The maternal hair metabolome is capable of discriminating intrahepatic cholestasis of pregnancy from uncomplicated pregnancy. Front Endocrinol (Lausanne) 2024; 14:1280833. [PMID: 38260149 PMCID: PMC10801165 DOI: 10.3389/fendo.2023.1280833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Introduction Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific liver disease associated with elevated bile acids in the blood. Diagnosis typically only occurs after the manifestation of clinical symptoms and the metabolic mechanisms underlying its development remain unclear. The aim of this study was to investigate potential specific metabolites and the underlying metabolic changes occurring during the development of ICP in the maternal plasma and hair metabolomes of women diagnosed with either ICP or having a healthy pregnancy. Methods A total of 35 Chinese women with ICP and 42 healthy pregnancies were enrolled in our study. Plasma and hair samples, total bile acid levels (TBA), alanine transaminase levels (ALT), aspartate aminotransferase levels (AST), and additional clinical information were collected during the third trimester. Metabolites from maternal plasma and hair segments collected pre-conception and analyzed using gas chromatography-mass spectrometry (GC-MS). Results Three plasma metabolites (p < 0.05, q < 0.38) and 21 hair metabolites (p < 0.05, q < 0.05) were significantly different between ICP and healthy pregnancies. A combination of the eight most significant hair metabolites in a multivariate receiver operating characteristic curve model showed the best area under the curve (AUC) was 0.885, whereas the highest AUC using metabolites from plasma samples was only 0.74. Metabolic pathway analysis revealed 32 pathways were significantly (p and q values < 0.05) affected in the hair samples of patients with ICP. Pathways associated with glutathione metabolism and ABC transporters were affected. No metabolic pathways were significantly affected in plasma. Discussion Overall, this study showed that the hair metabolome could be more useful than the plasma metabolome for distinguishing ICP from normal pregnancy.
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Affiliation(s)
- Nanlin Yin
- Department of Obstetrics and Gynecology, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
- Center for Reproductive Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiuping Jiang
- Center for Reproductive Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Muhua Yu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Yang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huisheng Ge
- Department of Obstetrics and Gynecology, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Ting-Li Han
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Hongbo Qi
- Department of Obstetrics and Gynecology, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
- Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
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Adav SS, Ng KW. Recent omics advances in hair aging biology and hair biomarkers analysis. Ageing Res Rev 2023; 91:102041. [PMID: 37634889 DOI: 10.1016/j.arr.2023.102041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/27/2023] [Accepted: 08/23/2023] [Indexed: 08/29/2023]
Abstract
Aging is a complex natural process that leads to a decline in physiological functions, which is visible in signs such as hair graying, thinning, and loss. Although hair graying is characterized by a loss of pigment in the hair shaft, the underlying mechanism of age-associated hair graying is not fully understood. Hair graying and loss can have a significant impact on an individual's self-esteem and self-confidence, potentially leading to mental health problems such as depression and anxiety. Omics technologies, which have applications beyond clinical medicine, have led to the discovery of candidate hair biomarkers and may provide insight into the complex biology of hair aging and identify targets for effective therapies. This review provides an up-to-date overview of recent omics discoveries, including age-associated alterations of proteins and metabolites in the hair shaft and follicle, and highlights the significance of hair aging and graying biomarker discoveries. The decline in hair follicle stem cell activity with aging decreased the regeneration capacity of hair follicles. Cellular senescence, oxidative damage and altered extracellular matrix of hair follicle constituents characterized hair follicle and hair shaft aging and graying. The review attempts to correlate the impact of endogenous and exogenous factors on hair aging. We close by discussing the main challenges and limitations of the field, defining major open questions and offering an outlook for future research.
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Affiliation(s)
- Sunil S Adav
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Kee Woei Ng
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore; Nanyang Environment and Water Research Institute, Nanyang Technological University, 1 Cleantech Loop, CleanTech One, 637141, Singapore.
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Yang Z, Luo X, Huang B, Jia X, Luan X, Shan N, An Z, Cao J, Qi H. Altered distribution of fatty acid exerting lipid metabolism and transport at the maternal-fetal interface in fetal growth restriction. Placenta 2023; 139:159-171. [PMID: 37406553 DOI: 10.1016/j.placenta.2023.05.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 05/17/2023] [Accepted: 05/31/2023] [Indexed: 07/07/2023]
Abstract
INTRODUCTION Fetal growth restriction (FGR) is a common complication of pregnancy. Lipid metabolism and distribution may contribute to the progression of FGR. However, the metabolism-related mechanisms of FGR remain unclear. The aim of this study was to identify metabolic profiles associated with FGR, as well as probable genes and signaling pathways. METHODS Metabolomic profiles at the maternal-fetal interface (including the placenta, maternal and fetal serum) from pregnant women with (n = 35) and without (n = 35) FGR were analyzed by gas chromatography-mass spectrometry (GC-MS). Combined with differentially expressed genes (DEGs) from the GSE35574 dataset, analysis was performed for differential metabolites, and identified by the Metabo Analyst dataset. Finally, the pathology and screened DEGs were further identified. RESULTS The results showed that fatty acids (FAs) accumulated in the placenta and decreased in fetal blood in FGR cases compared to controls. The linoleic acid metabolism was the focus of placental differential metabolites and genes enrichment analysis. In this pathway, phosphatidylcholine can interact with PLA2G2A and PLA2G4C, and 12(13)-EpOME can interact with CYP2J2. PLA2G2A and CYP2J2 were elevated, and PLA2G4C was decreased in the FGR placenta. DISCUSSION In conclusion, accumulation of FAs in the placental ischemic environments, may involve linoleic acid metabolism, which may be regulated by PLA2G2A, CYP2J2, and PLA2G4C. This study may contribute to understanding the underlying metabolic and molecular mechanisms of FGR.
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Affiliation(s)
- Zhongmei Yang
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; The Department of Obstetrics and Gynecology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China; Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, 610072, China.
| | - Xiaofang Luo
- Reproductive Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Biao Huang
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Xiaoyan Jia
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Xiaojin Luan
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Nan Shan
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Zhongling An
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Jinfeng Cao
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Hongbo Qi
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China.
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Chang CW, Hsu JY, Su YH, Chen YC, Hsiao PZ, Liao PC. Monitoring long-term chemical exposome by characterizing the hair metabolome using a high-resolution mass spectrometry-based suspect screening approach. CHEMOSPHERE 2023; 332:138864. [PMID: 37156292 DOI: 10.1016/j.chemosphere.2023.138864] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 03/20/2023] [Accepted: 05/05/2023] [Indexed: 05/10/2023]
Abstract
Hair has recently emerged as a biospecimen for characterizing the long-term chemical exposome in biomonitoring investigations spanning several months, as chemical compounds circulating in the bloodstream accumulate in hair. Although there has been interest in using human hair as a biospecimen for exposome studies, it has yet to be widely adopted compared to blood and urine. Here, we applied a high-resolution mass spectrometry (HRMS)-based suspect screening strategy to characterize the long-term chemical exposome in human hair. Hair samples were collected from 70 subjects and cut into 3 cm segments, which were then mixed to prepare pooled samples. The pooled hair samples underwent a sample preparation procedure, and the hair extracts were further analyzed using an HRMS-based suspect screening approach. An in-house chemical suspect list containing 1227 chemical entries from National Report on Human Exposure to Environmental Chemicals (Report) published by the U.S. CDC and the Exposome-Explorer 3.0 database developed by the WHO was subsequently used to screen and filter the suspect features against the HRMS dataset. Overall, we matched 587 suspect features in the HRMS dataset to 246 unique chemical formulas in the suspect list, and the structures of 167 chemicals were further identified through a fragmentation analysis. Among these, chemicals such as mono-2-ethylhexyl phthalate, methyl paraben, and 1-naphthol, which have been detected in the urine or blood for exposure assessment, were also identified in human hair. This suggests that hair reflects the accumulation of environmental compounds to which an individual is exposed. Exposure to exogenous chemicals may exert adverse effects on cognitive function, and we discovered 15 chemicals in human hair that may contribute to the pathogenesis of Alzheimer's disease. This finding suggests that human hair may be a promising biospecimen for monitoring long-term exposure to multiple environmental chemicals and perturbations in endogenous chemicals in biomonitoring investigations.
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Affiliation(s)
- Chih-Wei Chang
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jen-Yi Hsu
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Hsiang Su
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, 60002, Taiwan
| | - Yuan-Chih Chen
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ping-Zu Hsiao
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Pao-Chi Liao
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Food Safety/Hygiene and Risk Management, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
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Badillo-Sanchez DA, Jones DJL, Inskip SA, Scheib CL. Human Archaeological Dentin as Source of Polar and Less Polar Metabolites for Untargeted Metabolomic Research: The Case of Yersinia pestis. Metabolites 2023; 13:588. [PMID: 37233629 PMCID: PMC10223108 DOI: 10.3390/metabo13050588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/05/2023] [Accepted: 04/19/2023] [Indexed: 05/27/2023] Open
Abstract
Metabolomic approaches, such as in clinical applications of living individuals, have shown potential use for solving questions regarding the past when applied to archaeological material. Here, we study for the first time the potential of this Omic approach as applied to metabolites extracted from archaeological human dentin. Dentin obtained from micro sampling the dental pulp of teeth of victims and non-victims of Yersinia pestis (plague) from a 6th century Cambridgeshire site are used to evaluate the potential use of such unique material for untargeted metabolomic studies on disease state through liquid chromatography hyphenated to high-resolution mass spectrometry (LC-HRMS). Results show that small molecules of both likely endogenous and exogenous sources are preserved for a range of polar and less polar/apolar metabolites in archaeological dentin; however, untargeted metabolomic profiles show no clear differentiation between healthy and infected individuals in the small sample analysed (n = 20). This study discusses the potential of dentin as a source of small molecules for metabolomic assays and highlights: (1) the need for follow up research to optimise sampling protocols, (2) the requirements of studies with larger sample numbers and (3) the necessity of more databases to amplify the positive results achievable with this Omic technique in the archaeological sciences.
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Affiliation(s)
| | - Donald J L Jones
- Leicester Cancer Research Centre, RKCSB, University of Leicester, Leicester LE1 7RH, UK
- The Leicester van Geest MultiOmics Facility, University of Leicester, Leicester LE1 7RH, UK
| | - Sarah A Inskip
- School of Archaeology and Ancient History, University of Leicester, Leicester LE1 7RH, UK
| | - Christiana L Scheib
- Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge CB2 3ER, UK
- St. John's College, University of Cambridge, Cambridge CB2 1TP, UK
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10
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Najafova T, Dagdeviren G, Kasikci M, Sahin D, Yucel A, Ozyuncu O, Gurler M. Segmental hair metabolomics analysis in pregnant women with pregnancy complications. Metabolomics 2023; 19:45. [PMID: 37084096 DOI: 10.1007/s11306-023-02009-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 04/11/2023] [Indexed: 04/22/2023]
Abstract
INTRODUCTION Pregnancy complications, as preeclampsia (PE) and HELLP syndrome, occurring with similar pathophysiological mechanisms, have adverse effects on the health of both mother and fetus during pregnancy and thereafter, they are leading causes of maternal and fetal morbidity and mortality. The hair metabolome has been recognized as a valuable source of information in pregnancy research, as it provides stable metabolite information to be able to assist with studying biomarkers or metabolic mechanisms of pregnancy and its complications. OBJECTIVE The aim of this study was to investigate the hair metabolome profile of pregnant women with PE, HELLP syndrome and healthy women. METHOD Hair samples of new-borns' mothers (patients and controls) were investigated segmentally relevant to each trimester using a proper sample preparation and gas chromatography-mass spectrometry (GC-MS) to identify robust biomarkers that can be useful for screening, early detection, follow-up and treatment of PE and HELLP syndrome, the etiology of which are still unknown. RESULTS The results showed a significant change in the metabolome profiles of the patient and control groups regarding the trimesters. A striking decrease was observed in all 100 metabolites investigated in the patient group (p < 0.000). The metabolic pathways associated with significant metabolites have also been investigated, and the most affected pathways were observed to be the urea cycle, glycine, serine, aspartate, methionine and purine metabolism, ammonia cycle, and phosphatidylethanolamine biosynthesis. CONCLUSION The found metabolites provide us with extensive data on the ability to establish biomarkers for predicting, early detection and monitoring of PE.
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Affiliation(s)
- Tahmina Najafova
- Department of Medical Biochemistry, Faculty of Medicine, Hacettepe University, Sıhhiye, 06100, Ankara, Turkey.
| | - Gulsah Dagdeviren
- Department of Perinatology, University of Health Sciences Etlik Zubeyde Hanım Women's Health Care, Training and Research Hospital, Ankara, Turkey
| | - Merve Kasikci
- Department of Biostatistics, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Dilek Sahin
- Department of Perinatology, University of Health Sciences Etlik Zubeyde Hanım Women's Health Care, Training and Research Hospital, Ankara, Turkey
| | - Aykan Yucel
- Department of Perinatology, University of Health Sciences Etlik Zubeyde Hanım Women's Health Care, Training and Research Hospital, Ankara, Turkey
| | - Ozgur Ozyuncu
- Department of Gynaecology and Obstetrics, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Mukaddes Gurler
- Department of Medical Biochemistry, Faculty of Medicine, Hacettepe University, Sıhhiye, 06100, Ankara, Turkey
- Department of Medical Biochemistry and Forensic Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
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11
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Chang CW, Hsu JY, Hsiao PZ, Chen YC, Liao PC. Identifying Hair Biomarker Candidates for Alzheimer's Disease Using Three High Resolution Mass Spectrometry-Based Untargeted Metabolomics Strategies. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:550-561. [PMID: 36973238 DOI: 10.1021/jasms.2c00294] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
High-resolution mass spectrometry (HRMS)-based untargeted metabolomics strategies have emerged as an effective tool for discovering biomarkers of Alzheimer's disease (AD). There are various HRMS-based untargeted metabolomics strategies for biomarker discovery, including the data-dependent acquisition (DDA) method, the combination of full scan and target MS/MS, and the all ion fragmentation (AIF) method. Hair has emerged as a potential biospecimen for biomarker discovery in clinical research since it might reflect the circulating metabolic profiles over several months, while the analytical performances of the different data acquisition methods for hair biomarker discovery have been rarely investigated. Here, the analytical performances of three data acquisition methods in HRMS-based untargeted metabolomics for hair biomarker discovery were evaluated. The human hair samples from AD patients (N = 23) and cognitively normal individuals (N = 23) were used as an example. The most significant number of discriminatory features was acquired using the full scan (407), which is approximately 10-fold higher than that using the DDA strategy (41) and 11% higher than that using the AIF strategy (366). Only 66% of discriminatory chemicals discovered in the DDA strategy were discriminatory features in the full scan dataset. Moreover, compared to the deconvoluted MS/MS spectra with coeluted and background ions from the AIF method, the MS/MS spectrum obtained from the targeted MS/MS approach is cleaner and purer. Therefore, an untargeted metabolomics strategy combining the full scan with the targeted MS/MS method could obtain most discriminatory features along with a high quality MS/MS spectrum for discovering the AD biomarkers.
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Affiliation(s)
- Chih-Wei Chang
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan 704, Taiwan
| | - Jen-Yi Hsu
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan 704, Taiwan
| | - Ping-Zu Hsiao
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan 704, Taiwan
| | - Yuan-Chih Chen
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan 704, Taiwan
| | - Pao-Chi Liao
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan 704, Taiwan
- Department of Food Safety/Hygiene and Risk Management, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan 704, Taiwan
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Su YH, Chang CW, Hsu JY, Li SW, Sung PS, Wang RH, Wu CH, Liao PC. Discovering Hair Biomarkers of Alzheimer's Disease Using High Resolution Mass Spectrometry-Based Untargeted Metabolomics. Molecules 2023; 28:molecules28052166. [PMID: 36903413 PMCID: PMC10004788 DOI: 10.3390/molecules28052166] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/20/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
Hair may be a potential biospecimen to discover biomarkers for Alzheimer's disease (AD) since it reflects the integral metabolic profiles of body burden over several months. Here, we described the AD biomarker discovery in the hair using a high-resolution mass spectrometry (HRMS)-based untargeted metabolomics approach. A total of 24 patients with AD and 24 age- and sex-matched cognitively healthy controls were recruited. The hair samples were collected 0.1-cm away from the scalp and further cut into 3-cm segments. Hair metabolites were extracted by ultrasonication with methanol/phosphate-buffered saline 50/50 (v/v) for 4 h. A total of 25 discriminatory chemicals in hair between the patients with AD and controls were discovered and identified. The AUC value achieved 0.85 (95% CI: 0.72~0.97) in patients with very mild AD compared to healthy controls using a composite panel of the 9 biomarker candidates, indicating high potential for the initiation or promotion phase of AD dementia in the early stage. A metabolic panel combined with the nine metabolites may be used as biomarkers for the early detection of AD. The hair metabolome can be used to reveal metabolic perturbations for biomarker discovery. Investigating perturbations of the metabolites will offer insight into the pathogenesis of AD.
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Affiliation(s)
- Yu-Hsiang Su
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City 60002, Taiwan
| | - Chih-Wei Chang
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Jen-Yi Hsu
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Shih-Wen Li
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Pi-Shan Sung
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Ru-Hsueh Wang
- Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Chih-Hsing Wu
- Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
- Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan
| | - Pao-Chi Liao
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
- Department of Food Safety/Hygiene and Risk Management, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan
- Correspondence:
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13
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Pintus R, Dessì A, Mussap M, Fanos V. Metabolomics can provide new insights into perinatal nutrition. Acta Paediatr 2023; 112:233-241. [PMID: 34487568 PMCID: PMC10078676 DOI: 10.1111/apa.16096] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/01/2021] [Accepted: 09/03/2021] [Indexed: 01/13/2023]
Abstract
Perinatal nutrition is a key factor related to the Developmental Origin of Health and Disease hypothesis, which states that each and every event that happens during the periconceptional period and pregnancy can affect the health status of an individual. Metabolomics can be a very useful tool for gathering information about the effect of perinatal nutrition on both mothers and newborn infants. This non-systematic review focuses on the main metabolites detected by this technique, with regard to gestational diabetes, intrauterine growth restriction and breast milk. Conclusion. Nutrition, metabolome and microbiome interactions are gaining interest in the scientific community.
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Affiliation(s)
- Roberta Pintus
- Neonatal Intensive Care Unit, AOU Cagliari Department of Surgery, University of Cagliari, Cagliari, Italy
| | - Angelica Dessì
- Neonatal Intensive Care Unit, AOU Cagliari Department of Surgery, University of Cagliari, Cagliari, Italy
| | - Michele Mussap
- Neonatal Intensive Care Unit, AOU Cagliari Department of Surgery, University of Cagliari, Cagliari, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, AOU Cagliari Department of Surgery, University of Cagliari, Cagliari, Italy
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Ran R, Zhong X, Yang Y, Tang X, Shi M, Jiang X, Lin A, Gan X, Yu T, Hu L, Dong X, Han TL. Metabolomic profiling identifies hair as a robust biological sample for identifying women with cervical cancer. MEDICAL ONCOLOGY (NORTHWOOD, LONDON, ENGLAND) 2023; 40:75. [PMID: 36609777 DOI: 10.1007/s12032-022-01848-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 09/09/2022] [Indexed: 01/09/2023]
Abstract
Metabolomics serves as a useful tool for identifying biomarkers of disease and uncovering pathogenic mechanisms. However, most metabolomic studies use biological fluids such as blood and urine as biospecimens, which could be dramatically influenced by daily activities and dietary variation, resulting in measurement fluctuations. In contrast, hair may serve as a robust source of stable longitudinal metabolite information. Here, we conducted a pilot study to investigate the possibility of using hair as a biospecimen for the metabolomic analysis of cervical cancer. Hair, plasma, urine, and cervical tissue samples from cervical cancer and benign tumor patients were collected. Biospecimens were then tested using a gas chromatography-mass spectrometry-based metabolomic platform. The expressions of enzymatic genes related to metabolic changes were validated using qPCR. Statistical analyses were calculated via the R-console platform. Metabolite profiles in both hair and cervical tissue samples were significantly different between cancer and control groups, while no difference was observed in plasma and urine samples. Further analysis showed that most of the altered metabolites in hair were upregulated, and they had a negative correlation with those in the cervical tissue. Eight common metabolites showed an area under the Receiver Operating Characteristic curve greater than 0.95. These metabolites primarily participated in amino acid metabolism, cofactor synthesis, ferroptosis, and glycolysis. The gene expressions (IDH1, OGDH, GLUD1, ENO1, GSS, and GPX4) associated with the shortlisted metabolic pathways were also upregulated. Our study is the first to reveal metabolomic changes of hair in cervical cancer patients and demonstrates the potential for the hair metabolome to be used for biomarker identification in cervical cancer.
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Affiliation(s)
- Rui Ran
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaocui Zhong
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yang Yang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400716, China
| | - Xianglan Tang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Manlin Shi
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xingwei Jiang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Anping Lin
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaoling Gan
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Tinghe Yu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Lina Hu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaojing Dong
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Ting-Li Han
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- Liggins Institute, The University of Auckland, Auckland, 1023, New Zealand.
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15
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Ross AB, Maes E, Lee EJ, Homewood I, Marsh JM, Davis SL, Willicut RJ. UV and visible light exposure to hair leads to widespread changes in the hair lipidome. Int J Cosmet Sci 2022; 44:672-684. [PMID: 35924329 PMCID: PMC9804959 DOI: 10.1111/ics.12810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/15/2022] [Accepted: 08/02/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Scalp hair is among the most exposed parts of the human body, yet the impact of visible and UV light on hair lipids, an important structural component of hair, is poorly researched. We have used lipidomics, a broad-based approach to measure lipids in samples, which has hitherto not been applied to UV-exposed hair in the published literature, and could allow for a wider understanding of how UV light impacts on specific hair lipids. METHODS Mixed blonde Caucasian hair switches were divided into two groups of five, with half of the hair switches exposed to UV and visible light mimicking normal daytime exposure and half left unexposed. LC-MS lipidomics was used to profile the lipids in the hair samples. RESULTS A total of 791 lipids and 32 lipid classes with tentative identifications were detected in the hair samples. Nineteen lipid classes and 397 lipids differed between UV-treated and non-treated hair. The main lipid classes that differed were vitamin A fatty acid esters, sterol esters, several ceramides, mono-, di- and triglycerides, phosphatidylethanolamines (all decreased in UV-exposed hair) and bismonoacylglycerolphosphates, acylcarnitines and acylglycines (all increased in UV-exposed hair). Most detected lipids were decreased in UV-exposed hair, supporting earlier work that has found that UV exposure causes oxidation of lipids which would result in a decrease in most lipid classes. CONCLUSION Light exposure to hair has a widespread impact on the hair lipidome. This study also adds to the emerging literature on the hair lipidome, broadening the range of lipid classes reported in hair.
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Affiliation(s)
| | - Evelyne Maes
- Proteins and Metabolites, AgResearchLincolnNew Zealand,Riddet Institute based at Massey UniversityPalmerston NorthNew Zealand,Biomolecular Interaction CentreUniversity of CanterburyChristchurchNew Zealand
| | - Erin J. Lee
- Proteins and Metabolites, AgResearchLincolnNew Zealand
| | - Ines Homewood
- Proteins and Metabolites, AgResearchLincolnNew Zealand
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The Exploration of Fetal Growth Restriction Based on Metabolomics: A Systematic Review. Metabolites 2022; 12:metabo12090860. [PMID: 36144264 PMCID: PMC9501562 DOI: 10.3390/metabo12090860] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/03/2022] [Accepted: 09/04/2022] [Indexed: 11/30/2022] Open
Abstract
Fetal growth restriction (FGR) is a common complication of pregnancy and a significant cause of neonatal morbidity and mortality. The adverse effects of FGR can last throughout the entire lifespan and increase the risks of various diseases in adulthood. However, the etiology and pathogenesis of FGR remain unclear. This study comprehensively reviewed metabolomics studies related with FGR in pregnancy to identify potential metabolic biomarkers and pathways. Relevant articles were searched through two online databases (PubMed and Web of Science) from January 2000 to July 2022. The reported metabolites were systematically compared. Pathway analysis was conducted through the online MetaboAnalyst 5.0 software. For humans, a total of 10 neonatal and 14 maternal studies were included in this review. Several amino acids, such as alanine, valine, and isoleucine, were high frequency metabolites in both neonatal and maternal studies. Meanwhile, several pathways were suggested to be involved in the development of FGR, such as arginine biosynthesis, arginine, and proline metabolism, glyoxylate and dicarboxylate metabolism, and alanine, aspartate, and glutamate metabolism. In addition, we also included 8 animal model studies, in which three frequently reported metabolites (glutamine, phenylalanine, and proline) were also present in human studies. In general, this study summarized several metabolites and metabolic pathways which may help us to better understand the underlying metabolic mechanisms of FGR.
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Lu W, Hu C. Molecular biomarkers for gestational diabetes mellitus and postpartum diabetes. Chin Med J (Engl) 2022; 135:1940-1951. [PMID: 36148588 PMCID: PMC9746787 DOI: 10.1097/cm9.0000000000002160] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Indexed: 11/25/2022] Open
Abstract
ABSTRACT Gestational diabetes mellitus (GDM) is a growing public health problem worldwide that threatens both maternal and fetal health. Identifying individuals at high risk for GDM and diabetes after GDM is particularly useful for early intervention and prevention of disease progression. In the last decades, a number of studies have used metabolomics, genomics, and proteomic approaches to investigate associations between biomolecules and GDM progression. These studies clearly demonstrate that various biomarkers reflect pathological changes in GDM. The established markers have potential use as screening and diagnostic tools in GDM and in postpartum diabetes research. In the present review, we summarize recent studies of metabolites, single-nucleotide polymorphisms, microRNAs, and proteins associated with GDM and its transition to postpartum diabetes, with a focus on their predictive value in screening and diagnosis.
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Affiliation(s)
- Wenqian Lu
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510630, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai 201400, China
| | - Cheng Hu
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510630, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai 201400, China
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Zhong X, Ran R, Gao S, Shi M, Shi X, Long F, Zhou Y, Yang Y, Tang X, Lin A, He W, Yu T, Han TL. Complex metabolic interactions between ovary, plasma, urine, and hair in ovarian cancer. Front Oncol 2022; 12:916375. [PMID: 35982964 PMCID: PMC9379488 DOI: 10.3389/fonc.2022.916375] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 07/06/2022] [Indexed: 11/13/2022] Open
Abstract
Ovarian cancer (OC) is the third most common malignant tumor of women accompanied by alteration of systemic metabolism, yet the underlying interactions between the local OC tissue and other system biofluids remain unclear. In this study, we recruited 17 OC patients, 16 benign ovarian tumor (BOT) patients, and 14 control patients to collect biological samples including ovary plasma, urine, and hair from the same patient. The metabolic features of samples were characterized using a global and targeted metabolic profiling strategy based on Gas chromatography-mass spectrometry (GC-MS). Principal component analysis (PCA) revealed that the metabolites display obvious differences in ovary tissue, plasma, and urine between OC and non-malignant groups but not in hair samples. The metabolic alterations in OC tissue included elevated glycolysis (lactic acid) and TCA cycle intermediates (malic acid, fumaric acid) were related to energy metabolism. Furthermore, the increased levels of glutathione and polyunsaturated fatty acids (linoleic acid) together with decreased levels of saturated fatty acid (palmitic acid) were observed, which might be associated with the anti-oxidative stress capability of cancer. Furthermore, how metabolite profile changes across differential biospecimens were compared in OC patients. Plasma and urine showed a lower concentration of amino acids (alanine, aspartic acid, glutamic acid, proline, leucine, and cysteine) than the malignant ovary. Plasma exhibited the highest concentrations of fatty acids (stearic acid, EPA, and arachidonic acid), while TCA cycle intermediates (succinic acid, citric acid, and malic acid) were most concentrated in the urine. In addition, five plasma metabolites and three urine metabolites showed the best specificity and sensitivity in differentiating the OC group from the control or BOT groups (AUC > 0.90) using machine learning modeling. Overall, this study provided further insight into different specimen metabolic characteristics between OC and non-malignant disease and identified the metabolic fluctuation across ovary and biofluids.
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Affiliation(s)
- Xiaocui Zhong
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Rui Ran
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shanhu Gao
- State Key Laboratory of Ultrasound Engineering in Medicine Co-Founded by Chongqing and the Ministry of Science and Technology, School of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Manlin Shi
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xian Shi
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Fei Long
- State Key Laboratory of Ultrasound Engineering in Medicine Co-Founded by Chongqing and the Ministry of Science and Technology, School of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Yanqiu Zhou
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Yang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xianglan Tang
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Anping Lin
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wuyang He
- Department of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tinghe Yu
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ting-Li Han
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Liggins Institute, The University of Auckland, Auckland, New Zealand
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Metabolomics Signatures and Subsequent Maternal Health among Mothers with a Congenital Heart Defect-Affected Pregnancy. Metabolites 2022; 12:metabo12020100. [PMID: 35208175 PMCID: PMC8877777 DOI: 10.3390/metabo12020100] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 01/13/2022] [Accepted: 01/15/2022] [Indexed: 12/24/2022] Open
Abstract
Congenital heart defects (CHDs) are the most prevalent and serious of all birth defects in the United States. However, little is known about the impact of CHD-affected pregnancies on subsequent maternal health. Thus, there is a need to characterize the metabolic alterations associated with CHD-affected pregnancies. Fifty-six plasma samples were identified from post-partum women who participated in the National Birth Defects Prevention Study between 1997 and 2011 and had (1) unaffected control offspring (n = 18), (2) offspring with tetralogy of Fallot (ToF, n = 22), or (3) hypoplastic left heart syndrome (HLHS, n = 16) in this pilot study. Absolute concentrations of 408 metabolites using the AbsoluteIDQ® p400 HR Kit (Biocrates) were evaluated among case and control mothers. Twenty-six samples were randomly selected from above as technical repeats. Analysis of covariance (ANCOVA) and logistic regression models were used to identify significant metabolites after controlling for the maternal age at delivery and body mass index. The receiver operating characteristic (ROC) curve and area-under-the-curve (AUC) are reported to evaluate the performance of significant metabolites. Overall, there were nine significant metabolites (p < 0.05) identified in HLHS case mothers and 30 significant metabolites in ToF case mothers. Statistically significant metabolites were further evaluated using ROC curve analyses with PC (34:1), two sphingolipids SM (31:1), SM (42:2), and PC-O (40:4) elevated in HLHS cases; while LPC (18:2), two triglycerides: TG (44:1), TG (46:2), and LPC (20:3) decreased in ToF; and cholesterol esters CE (22:6) were elevated among ToF case mothers. The metabolites identified in the study may have profound structural and functional implications involved in cellular signaling and suggest the need for postpartum dietary supplementation among women who gave birth to CHD offspring.
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20
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Tong C, Wen L, Wang L, Fan X, Zhao Y, Liu Y, Wang X, Huang S, Li J, Li J, Wang L, Gan J, Yu L, Wang L, Ge H, He C, Yu J, Liu T, Liu X, Yang Y, Li X, Jin H, Mei Y, Tian J, Leong P, Kilby MD, Qi H, Saffery R, Baker PN. Cohort Profile: The Chongqing Longitudinal Twin Study (LoTiS). Int J Epidemiol 2022; 51:e256-e266. [PMID: 35051283 DOI: 10.1093/ije/dyab264] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 12/10/2021] [Indexed: 11/14/2022] Open
Affiliation(s)
- Chao Tong
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Wen
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lan Wang
- Department of Obstetrics, Chongqing Women and Children's Health Center, Chongqing, China
| | - Xin Fan
- Department of Child Healthcare, Chongqing Health Center for Women and Children, Chongqing, China
| | - Yan Zhao
- Department of Child Healthcare, Chongqing Health Center for Women and Children, Chongqing, China
| | - Yamin Liu
- Department of Obstetrics, Chongqing Women and Children's Health Center, Chongqing, China
| | - Xing Wang
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shuai Huang
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Junnan Li
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Li
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Longqiong Wang
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Gan
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lian Yu
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lianlian Wang
- Department of Reproduction Health and Infertility, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huisheng Ge
- Chengdu Women's and Children's Central Hospital, Chengdu, Sichuan, China
| | - Chengjin He
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiaxiao Yu
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tianjiao Liu
- Chengdu Women's and Children's Central Hospital, Chengdu, Sichuan, China
| | - Xiyao Liu
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Yang
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xin Li
- Chengdu Women's and Children's Central Hospital, Chengdu, Sichuan, China
| | - Huili Jin
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Youwen Mei
- Chengdu Women's and Children's Central Hospital, Chengdu, Sichuan, China
| | - Jing Tian
- Department of Obstetrics and Gynecology, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Pamela Leong
- Molecular Immunity, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, Australia.,Department of Pediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Mark D Kilby
- Fetal Medicine Centre, Birmingham Women's & Children's NHS Foundation Trust, Birmingham, UK.,Institute of Metabolism & Systems Research, College of Medical & Dental Sciences, University of Birmingham, Birmingham, UK
| | - Hongbo Qi
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Department of Obstetrics, Chongqing Women and Children's Health Center, Chongqing, China
| | - Richard Saffery
- Molecular Immunity, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, Australia.,Department of Pediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Philip N Baker
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,College of Life Sciences, University of Leicester, Leicester, UK
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21
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Chen X, Zhao X, Jones MB, Harper A, de Seymour JV, Yang Y, Xia Y, Zhang T, Qi H, Gulliver J, Cannon RD, Saffery R, Zhang H, Han TL, Baker PN. The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester. Front Endocrinol (Lausanne) 2022; 13:1060309. [PMID: 36531491 PMCID: PMC9755849 DOI: 10.3389/fendo.2022.1060309] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 11/18/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a metabolic condition defined as glucose intolerance with first presentation during pregnancy. Many studies suggest that environmental exposures, including air pollution, contribute to the pathogenesis of GDM. Although hair metabolite profiles have been shown to reflect pollution exposure, few studies have examined the link between environmental exposures, the maternal hair metabolome and GDM. The aim of this study was to investigate the longitudinal relationship (from pre-conception through to the third trimester) between air pollution exposure, the hair metabolome and GDM in a Chinese cohort. METHODS A total of 1020 women enrolled in the Complex Lipids in Mothers and Babies (CLIMB) birth cohort were included in our study. Metabolites from maternal hair segments collected pre-conception, and in the first, second, and third trimesters were analysed using gas chromatography-mass spectrometry (GC-MS). Maternal exposure to air pollution was estimated by two methods, namely proximal and land use regression (LUR) models, using air quality data from the air quality monitoring station nearest to the participant's home. Logistic regression and mixed models were applied to investigate associations between the air pollution exposure data and the GDM associated metabolites. RESULTS Of the 276 hair metabolites identified, the concentrations of fourteen were significantly different between GDM cases and non-GDM controls, including some amino acids and their derivatives, fatty acids, organic acids, and exogenous compounds. Three of the metabolites found in significantly lower concentrations in the hair of women with GDM (2-hydroxybutyric acid, citramalic acid, and myristic acid) were also negatively associated with daily average concentrations of PM2.5, PM10, SO2, NO2, CO and the exposure estimates of PM2.5 and NO2, and positively associated with O3. CONCLUSIONS This study demonstrated that the maternal hair metabolome reflects the longitudinal metabolic changes that occur in response to environmental exposures and the development of GDM.
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Affiliation(s)
- Xuyang Chen
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
| | - Xue Zhao
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
| | - Mary Beatrix Jones
- Department of Statistics, The University of Auckland, Auckland, New Zealand
| | - Alexander Harper
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | | | - Yang Yang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
| | - Yinyin Xia
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Ting Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Hongbo Qi
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
- Department of Obstetrics and Gynecology, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - John Gulliver
- Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Richard D. Cannon
- Department of Oral Sciences, Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Richard Saffery
- Molecular Immunity, Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne, VIC, Australia
| | - Hua Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
- *Correspondence: Hua Zhang, ; Ting-Li Han,
| | - Ting-Li Han
- Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
- Liggins Institute, The University of Auckland, Auckland, New Zealand
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Hua Zhang, ; Ting-Li Han,
| | - Philip N. Baker
- College of Life Sciences, University of Leicester, Leicester, United Kingdom
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22
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Gustafsson HC, Young AS, Stamos G, Wilken S, Brito NH, Thomason ME, Graham A, Nigg JT, Sullivan EL. Innovative methods for remote assessment of neurobehavioral development. Dev Cogn Neurosci 2021; 52:101015. [PMID: 34601346 PMCID: PMC8483646 DOI: 10.1016/j.dcn.2021.101015] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 08/27/2021] [Accepted: 09/19/2021] [Indexed: 12/24/2022] Open
Abstract
In response to the COVID-19 pandemic, research institutions across the globe have modified their operations in ways that have limited or eliminated the amount of permissible in-person research interaction. In order to prevent the loss of important developmentally-timed data during the pandemic, researchers have quickly pivoted and developed innovative methods for remote assessment of research participants. In this manuscript, we describe methods developed for remote assessment of a parent child cohort with a focus on examining the perinatal environment, behavioral and biological indicators of child neurobehavioral development, parent-child interaction, as well as parent and child mental and physical health. We include recommendations relevant to adapting in-laboratory assessments for remote data collection and conclude with a description of the successful dissemination of the methods to eight research sites across the United States, each of whom are involved in Phase 1 of the HEALthy Brain and Child Development (HBCD) Study. These remote methods were born out of pandemic-related necessity; however, they have much wider applicability and may offer advantages over in-laboratory neurodevelopmental assessments.
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Affiliation(s)
- Hanna C Gustafsson
- Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Anna S Young
- Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Gayle Stamos
- Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Sydney Wilken
- Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Natalie H Brito
- New York University, 426 Greene Street, New York, NY 10003, USA
| | | | - Alice Graham
- Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Joel T Nigg
- Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Elinor L Sullivan
- Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA; Oregon National Primate Research Center, 505 NW 185th Avenue, Beaverton, OR 97006, USA.
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23
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Monni G, Atzori L, Corda V, Dessolis F, Iuculano A, Hurt KJ, Murgia F. Metabolomics in Prenatal Medicine: A Review. Front Med (Lausanne) 2021; 8:645118. [PMID: 34249959 PMCID: PMC8267865 DOI: 10.3389/fmed.2021.645118] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 05/04/2021] [Indexed: 11/13/2022] Open
Abstract
Pregnancy is a complicated and insidious state with various aspects to consider, including the well-being of the mother and child. Developing better non-invasive tests that cover a broader range of disorders with lower false-positive rates is a fundamental necessity in the prenatal medicine field, and, in this sense, the application of metabolomics could be extremely useful. Metabolomics measures and analyses the products of cellular biochemistry. As a biomarker discovery tool, the integrated holistic approach of metabolomics can yield new diagnostic or therapeutic approaches. In this review, we identify and summarize prenatal metabolomics studies and identify themes and controversies. We conducted a comprehensive search of PubMed and Google Scholar for all publications through January 2020 using combinations of the following keywords: nuclear magnetic resonance, mass spectrometry, metabolic profiling, prenatal diagnosis, pregnancy, chromosomal or aneuploidy, pre-eclampsia, fetal growth restriction, pre-term labor, and congenital defect. Metabolite detection with high throughput systems aided by advanced bioinformatics and network analysis allowed for the identification of new potential prenatal biomarkers and therapeutic targets. We took into consideration the scientific papers issued between the years 2000-2020, thus observing that the larger number of them were mainly published in the last 10 years. Initial small metabolomics studies in perinatology suggest that previously unidentified biochemical pathways and predictive biomarkers may be clinically useful. Although the scientific community is considering metabolomics with increasing attention for the study of prenatal medicine as well, more in-depth studies would be useful in order to advance toward the clinic world as the obtained results appear to be still preliminary. Employing metabolomics approaches to understand fetal and perinatal pathophysiology requires further research with larger sample sizes and rigorous testing of pilot studies using various omics and traditional hypothesis-driven experimental approaches.
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Affiliation(s)
- Giovanni Monni
- Department of Prenatal and Preimplantation Genetic Diagnosis and Fetal Therapy, Ospedale Pediatrico Microcitemico “A.Cao,”Cagliari, Italy
| | - Luigi Atzori
- Clinical Metabolomics Unit, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Valentina Corda
- Department of Prenatal and Preimplantation Genetic Diagnosis and Fetal Therapy, Ospedale Pediatrico Microcitemico “A.Cao,”Cagliari, Italy
| | - Francesca Dessolis
- Department of Prenatal and Preimplantation Genetic Diagnosis and Fetal Therapy, Ospedale Pediatrico Microcitemico “A.Cao,”Cagliari, Italy
| | - Ambra Iuculano
- Department of Prenatal and Preimplantation Genetic Diagnosis and Fetal Therapy, Ospedale Pediatrico Microcitemico “A.Cao,”Cagliari, Italy
| | - K. Joseph Hurt
- Divisions of Maternal Fetal Medicine and Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Federica Murgia
- Department of Prenatal and Preimplantation Genetic Diagnosis and Fetal Therapy, Ospedale Pediatrico Microcitemico “A.Cao,”Cagliari, Italy
- Clinical Metabolomics Unit, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
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24
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Chen Y, Guo J, Xing S, Yu H, Huan T. Global-Scale Metabolomic Profiling of Human Hair for Simultaneous Monitoring of Endogenous Metabolome, Short- and Long-Term Exposome. Front Chem 2021; 9:674265. [PMID: 34055742 PMCID: PMC8149753 DOI: 10.3389/fchem.2021.674265] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 04/06/2021] [Indexed: 12/20/2022] Open
Abstract
Hair is a unique biological matrix that adsorbs short-term exposures (e. g., environmental contaminants and personal care products) on its surface and also embeds endogenous metabolites and long-term exposures in its matrix. In this work, we developed an untargeted metabolomics workflow to profile both temporal exposure chemicals and endogenous metabolites in the same hair sample. This analytical workflow begins with the extraction of short-term exposures from hair surfaces through washing. Further development of mechanical homogenization extracts endogenous metabolites and long-term exposures from the cleaned hair. Both solutions of hair wash and hair extract were analyzed using ultra-high-performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS)-based metabolomics for global-scale metabolic profiling. After analysis, raw data were processed using bioinformatic programs recently developed specifically for exposome research. Using optimized experimental conditions, we detected a total of 10,005 and 9,584 metabolic features from hair wash and extraction samples, respectively. Among them, 274 and 276 features can be definitively confirmed by MS2 spectral matching against spectral library, and an additional 3,356 and 3,079 features were tentatively confirmed as biotransformation metabolites. To demonstrate the performance of our hair metabolomics, we collected hair samples from three female volunteers and tested their hair metabolic changes before and after a 2-day exposure exercise. Our results show that 645 features from wash and 89 features from extract were significantly changed from the 2-day exposure. Altogether, this work provides a novel analytical approach to study the hair metabolome and exposome at a global scale, which can be implemented in a wide range of biological applications for a deeper understanding of the impact of environmental and genetic factors on human health.
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Affiliation(s)
- Ying Chen
- Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver, BC, Canada
| | - Jian Guo
- Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver, BC, Canada
| | - Shipei Xing
- Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver, BC, Canada
| | - Huaxu Yu
- Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver, BC, Canada
| | - Tao Huan
- Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver, BC, Canada
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25
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Chang WCW, Wang PH, Chang CW, Chen YC, Liao PC. Extraction strategies for tackling complete hair metabolome using LC-HRMS-based analysis. Talanta 2021; 223:121708. [PMID: 33303158 DOI: 10.1016/j.talanta.2020.121708] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 09/23/2020] [Accepted: 09/25/2020] [Indexed: 11/30/2022]
Abstract
Over recent years, metabolomics has been featured as the state-of-the-art technology that successfully opens the paths to understanding biological mechanisms and facilitating biomarker discovery. However, the inherent dynamic and sensitive nature of the metabolome have been challenging the accuracy of capturing the timepoints of interest while using biofluids such as urine and blood. Hair has thus emerged as a valuable analytical specimen for the long-term and retrospective determinations. Unfortunately, notwithstanding the apparent interest on global hair metabolomics, very few studies have engaged in the optimisation of the extraction strategy. In this study, we systemically investigated the extraction procedures for hair metabolome using a single factor experimental design. Three pH values (acidic, neutral, and basic) in aqueous solution, six extraction solvents (methanol, acetonitrile, acetone, phosphate-buffered saline, deionised water, and dichloromethane), different compositions of selected solvent mixtures and their sequential extraction, and a series of extraction times (15, 45, 60, 120, 240, and 480 min) were evaluated. The ideal condition for hair extraction is ultrasonic-assisted extraction with methanol:phosphate-buffered saline 50:50 (v/v) under +55 °C for 240 min. This strategy may secure the true composition of the metabolome, maximise the signal abundance, and guarantee a high coverage of wide-range metabolites in a straightforward approach. The optimised extraction strategy was then coupled with structure annotation tools for hair metabolome profiling. After a single RPLC-HRMS run, hair metabolite identification was achieved as the annotations of 171 probable structures and 853 tentative structures as well as the assignments of 414 unequivocal molecular formulae. In conclusion, we established an efficient extraction strategy for untargeted hair metabolomics, which the method is deliverable to any analytical laboratories and the sample can be directly profiled by means of a conventional RPLC-HRMS gradient.
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Affiliation(s)
- William Chih-Wei Chang
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan
| | - Pin-Hsuan Wang
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan
| | - Chih-Wei Chang
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan
| | - Yuan-Chih Chen
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan
| | - Pao-Chi Liao
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan; Department of Food Safety/Hygiene and Risk Management, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
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26
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Petrick LM, Arora M, Niedzwiecki MM. Minimally Invasive Biospecimen Collection for Exposome Research in Children's Health. Curr Environ Health Rep 2021; 7:198-210. [PMID: 32535858 DOI: 10.1007/s40572-020-00277-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PURPOSE OF REVIEW The advent of low-volume biosampling and novel biomarker matrices offers non- or minimally invasive approaches to sampling in children. These new technologies, combined with advancements in mass spectrometry that provide high sensitivity, robust measurements of low-concentration exposures, facilitate the application of untargeted metabolomics in children's exposome research. Here, we review emerging sampling technologies for alternative biomatrices-dried capillary blood, interstitial fluid, saliva, teeth, and hair-and highlight recent applications of these samplers to drive discovery in population-based exposure research. RECENT FINDINGS Biosampling and biomarker technologies demonstrate potential to directly measure exposures during key developmental time periods. While saliva is the most traditional of the reported biomatrices, each technology has key advantages and disadvantages. For example, hair and teeth provide retrospective analysis of past exposures, and dried capillary blood provides quantitative measurements of systemic exposures that can be more readily compared with traditional venous blood measurements. Importantly, all technologies can or have the potential to be used at home, increasing the convenience and parental support for children's biosampling. This review describes emerging sample collection technologies that hold promise for children's exposome studies. While applications in metabolomics are still limited, these novel matrices are poised to facilitate longitudinal exposome studies to discover key exposures and windows of susceptibility affecting children's health.
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Affiliation(s)
- Lauren M Petrick
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Manish Arora
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Megan M Niedzwiecki
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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27
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Morillon AC, Leite DFB, Yakkundi S, Gethings LA, Thomas G, Baker PN, Kenny LC, English JA, McCarthy FP. Glycerophospholipid and detoxification pathways associated with small for gestation age pathophysiology: discovery metabolomics analysis in the SCOPE cohort. Metabolomics 2021; 17:5. [PMID: 33398476 PMCID: PMC7782411 DOI: 10.1007/s11306-020-01740-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 10/28/2020] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Small for gestational age (SGA) may be associated with neonatal morbidity and mortality. Our understanding of the molecular pathways implicated is poor. OBJECTIVES Our aim was to determine the metabolic pathways involved in the pathophysiology of SGA and examine their variation between maternal biofluid samples. METHODS Plasma (Cork) and urine (Cork, Auckland) samples were collected at 20 weeks' gestation from nulliparous low-risk pregnant women participating in the SCOPE study. Women who delivered an SGA infant (birthweight < 10th percentile) were matched to controls (uncomplicated pregnancies). Metabolomics (urine) and lipidomics (plasma) analyses were performed using ultra performance liquid chromatography-mass spectrometry. Features were ranked based on FDR adjusted p-values from empirical Bayes analysis, and significant features putatively identified. RESULTS Lipidomics plasma analysis revealed that 22 out of the 33 significantly altered lipids annotated were glycerophospholipids; all were detected in higher levels in SGA. Metabolomic analysis identified reduced expression of metabolites associated with detoxification (D-Glucuronic acid, Estriol-16-glucuronide), nutrient absorption and transport (Sulfolithocholic acid) pathways. CONCLUSIONS This study suggests higher levels of glycerophospholipids, and lower levels of specific urine metabolites are implicated in the pathophysiology of SGA. Further research is needed to confirm these findings in independent samples.
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Affiliation(s)
- Aude-Claire Morillon
- INFANT Research Centre, Cork University Hospital, Wilton, Cork, Ireland
- Department of Obstetrics and Gynecology, University College Cork, Cork, Ireland
| | - Debora F B Leite
- Federal University of Pernambuco, Pernambuco, Brazil
- Department of Tocogynecology, Campinas's State University, Sao Paulo, Brazil
| | - Shirish Yakkundi
- INFANT Research Centre, Cork University Hospital, Wilton, Cork, Ireland
- Department of Obstetrics and Gynecology, University College Cork, Cork, Ireland
| | - Lee A Gethings
- Waters Corporation, Wimslow, UK
- Manchester Institute of Biotechnology, Division of Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | | | - Philip N Baker
- College of Life Sciences, University of Leicester, Leicester, UK
| | - Louise C Kenny
- Department of Women's and Children's Health, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Jane A English
- INFANT Research Centre, Cork University Hospital, Wilton, Cork, Ireland
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
| | - Fergus P McCarthy
- INFANT Research Centre, Cork University Hospital, Wilton, Cork, Ireland.
- Department of Obstetrics and Gynecology, University College Cork, Cork, Ireland.
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28
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Lurbe E, Ingelfinger J. Developmental and Early Life Origins of Cardiometabolic Risk Factors: Novel Findings and Implications. Hypertension 2021; 77:308-318. [PMID: 33390043 DOI: 10.1161/hypertensionaha.120.14592] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
The intent of this review is to critically consider the data that support the concept of programming and its implications. Birth weight and growth trajectories during childhood are associated with cardiometabolic disease in adult life. Both extremes, low and high birth weight coupled with postnatal growth increase the early presence of cardiometabolic risk factors and vascular imprinting, crucial elements of this framework. Data coming from epigenetics, proteomics, metabolomics, and microbiota added relevant information and contribute to better understanding of mechanisms as well as development of biomarkers helping to move forward to take actions. Research has reached a stage in which sufficiently robust data calls for new initiatives focused on early life. Prevention starting early in life is likely to have a very large impact on reducing disease incidence and its associated effects at the personal, economic, and social levels.
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Affiliation(s)
- Empar Lurbe
- From the Pediatric Department, Consorcio Hospital General, University of Valencia (E.L.)
- CIBER Fisiopatología Obesidad y Nutrición (CB06/03), Instituto de Salud Carlos III, Spain (E.L.)
| | - Julie Ingelfinger
- Department of Pediatrics, Harvard Medical School, Mass General Hospital for Children, Massachusetts General Hospital, Boston (J.I.)
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29
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Eccles KM, Thomas PJ, Chan HM. Spatial patterns of the exposure-response relationship between mercury and cortisol in the fur of river otter (Lontra canadensis). CHEMOSPHERE 2021; 263:127992. [PMID: 32835981 DOI: 10.1016/j.chemosphere.2020.127992] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 08/09/2020] [Accepted: 08/10/2020] [Indexed: 06/11/2023]
Abstract
Fur has been validated as a useful biomarker medium for chemical exposures and biological responses in wildlife. Mercury (Hg) is known to act as an endocrine disruptor by altering brain neurochemistry. In this study, we investigated the spatial patterns of relationships between total Hg (THg) and cortisol in the fur of river otter (Lontra canadensis). Geotagged fur samples were obtained from a wildlife biomonitoring program (n = 72) and the North American Fur Auction (n = 37) between 2014 and 2017. Fur THg was measured using direct thermal decomposition and fur cortisol was measured using an enzyme-linked immunosorbent assay (ELISA). The average fur THg concentration was 11.50 ± 12.40 μg/g fur weight (f.w.), and the fur cortisol concentration was 5.71 ± 8.24 pg/mg. Results from the global ordinary least squares regression show no relationship between THg and fur cortisol concentrations. However, both Hg and cortisol were heterogeneously distributed across the landscape. When a localized geographically weighted regression (GWR) was used, a geographically distinct bi-phasic relationship was observed. We suggest this bi-phasic relationship is associated with a threshold THg concentration, beyond which, there was a negative association with measured fur cortisol. Results of a break-point analysis, with one break, indicate that the threshold is 16 ± 1.27 μg/g f. w of THg in fur. This research highlights the need to use appropriate spatial methods when assessing exposure-response relationships in wildlife across large geographical areas. The identified threshold can be used for regulatory purposes.
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Affiliation(s)
- Kristin M Eccles
- Department of Biology, University of Ottawa, 180, Gendron Hall, 30 Marie Curie, Ottawa, ON, K1N 6N5, Canada.
| | - Philippe J Thomas
- Department of Biology, University of Ottawa, 180, Gendron Hall, 30 Marie Curie, Ottawa, ON, K1N 6N5, Canada; Science and Technology Branch, Environment and Climate Change Canada, National Wildlife Research Center, 1125, Colonel By Drive, Raven Road, Ottawa, ON K1A 0H3, Canada.
| | - Hing Man Chan
- Department of Biology, University of Ottawa, 180, Gendron Hall, 30 Marie Curie, Ottawa, ON, K1N 6N5, Canada.
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30
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McBride N, Yousefi P, White SL, Poston L, Farrar D, Sattar N, Nelson SM, Wright J, Mason D, Suderman M, Relton C, Lawlor DA. Do nuclear magnetic resonance (NMR)-based metabolomics improve the prediction of pregnancy-related disorders? Findings from a UK birth cohort with independent validation. BMC Med 2020; 18:366. [PMID: 33222689 PMCID: PMC7681995 DOI: 10.1186/s12916-020-01819-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 10/19/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Prediction of pregnancy-related disorders is usually done based on established and easily measured risk factors. Recent advances in metabolomics may provide earlier and more accurate prediction of women at risk of pregnancy-related disorders. METHODS We used data collected from women in the Born in Bradford (BiB; n = 8212) and UK Pregnancies Better Eating and Activity Trial (UPBEAT; n = 859) studies to create and validate prediction models for pregnancy-related disorders. These were gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy (HDP), small for gestational age (SGA), large for gestational age (LGA) and preterm birth (PTB). We used ten-fold cross-validation and penalised regression to create prediction models. We compared the predictive performance of (1) risk factors (maternal age, pregnancy smoking, body mass index (BMI), ethnicity and parity) to (2) nuclear magnetic resonance-derived metabolites (N = 156 quantified metabolites, collected at 24-28 weeks gestation) and (3) combined risk factors and metabolites. The multi-ethnic BiB cohort was used for training and testing the models, with independent validation conducted in UPBEAT, a multi-ethnic study of obese pregnant women. RESULTS Maternal age, pregnancy smoking, BMI, ethnicity and parity were retained in the combined risk factor and metabolite models for all outcomes apart from PTB, which did not include maternal age. In addition, 147, 33, 96, 51 and 14 of the 156 metabolite traits were retained in the combined risk factor and metabolite model for GDM, HDP, SGA, LGA and PTB, respectively. These include cholesterol and triglycerides in very low-density lipoproteins (VLDL) in the models predicting GDM, HDP, SGA and LGA, and monounsaturated fatty acids (MUFA), ratios of MUFA to omega 3 fatty acids and total fatty acids, and a ratio of apolipoprotein B to apolipoprotein A-1 (APOA:APOB1) were retained predictors for GDM and LGA. In BiB, discrimination for GDM, HDP, LGA and SGA was improved in the combined risk factors and metabolites models. Risk factor area under the curve (AUC 95% confidence interval (CI)): GDM (0.69 (0.64, 0.73)), HDP (0.74 (0.70, 0.78)) and LGA (0.71 (0.66, 0.75)), and SGA (0.59 (0.56, 0.63)). Combined risk factor and metabolite models AUC 95% (CI): GDM (0.78 (0.74, 0.81)), HDP (0.76 (0.73, 0.79)) and LGA (0.75 (0.70, 0.79)), and SGA (0.66 (0.63, 0.70)). For GDM, HDP and LGA, but not SGA, calibration was good for a combined risk factor and metabolite model. Prediction of PTB was poor for all models. Independent validation in UPBEAT at 24-28 weeks and 15-18 weeks gestation confirmed similar patterns of results, but AUCs were attenuated. CONCLUSIONS Our results suggest a combined risk factor and metabolite model improves prediction of GDM, HDP and LGA, and SGA, when compared to risk factors alone. They also highlight the difficulty of predicting PTB, with all models performing poorly.
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Affiliation(s)
- Nancy McBride
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK. .,NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK. .,Population Health Sciences, University of Bristol, Bristol, UK.
| | - Paul Yousefi
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.,Population Health Sciences, University of Bristol, Bristol, UK
| | - Sara L White
- Department of Women and Children's Health, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Lucilla Poston
- Department of Women and Children's Health, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Diane Farrar
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Naveed Sattar
- NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.,Cardiovascular and Medical Sciences, British Heart Foundation Glasgow, Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,School of Medicine, University of Glasgow, Glasgow, UK
| | - Scott M Nelson
- NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.,Cardiovascular and Medical Sciences, British Heart Foundation Glasgow, Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.,School of Medicine, University of Glasgow, Glasgow, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.,Population Health Sciences, University of Bristol, Bristol, UK
| | - Caroline Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.,Population Health Sciences, University of Bristol, Bristol, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.,NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.,Population Health Sciences, University of Bristol, Bristol, UK
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31
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Towards Best Practice in Hair Metabolomic Studies: Systematic Investigation on the Impact of Hair Length and Color. Metabolites 2020; 10:metabo10100381. [PMID: 32993123 PMCID: PMC7601250 DOI: 10.3390/metabo10100381] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 09/23/2020] [Accepted: 09/25/2020] [Indexed: 11/16/2022] Open
Abstract
Untargeted metabolomic studies are used for large-scale analysis of endogenous compounds. Due to exceptional long detection windows of incorporated substances in hair, analysis of hair samples for retrospective monitoring of metabolome changes has recently been introduced. However, information on the general behavior of metabolites in hair samples is scarce, hampering correct data interpretation so far. The presented study aimed to investigate endogenous metabolites depending on hair color and along the hair strand and to propose recommendations for best practice in hair metabolomic studies. A metabolite selection was analyzed using untargeted data acquisition in genuine hair samples from different hair colors and after segmentation in 3 cm segments. Significant differences in metabolites among hair colors and segments were found. In conclusion, consideration of hair color and hair segments is necessary for hair metabolomic studies and, subsequently, recommendations for best practice in hair metabolomic studies were proposed.
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32
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Kim S, Jang WJ, Yu H, Kim J, Lee SK, Jeong CH, Lee S. Revealing Metabolic Perturbation Following Heavy Methamphetamine Abuse by Human Hair Metabolomics and Network Analysis. Int J Mol Sci 2020; 21:E6041. [PMID: 32839415 PMCID: PMC7503996 DOI: 10.3390/ijms21176041] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 12/13/2022] Open
Abstract
Methamphetamine (MA) is a highly addictive central nervous system stimulant. Drug addiction is not a static condition but rather a chronically relapsing disorder. Hair is a valuable and stable specimen for chronic toxicological monitoring as it retains toxicants and metabolites. The primary focus of this study was to discover the metabolic effects encompassing diverse pathological symptoms of MA addiction. Therefore, metabolic alterations were investigated in human hair following heavy MA abuse using both targeted and untargeted mass spectrometry and through integrated network analysis. The statistical analyses (t-test, variable importance on projection score, and receiver-operator characteristic curve) demonstrated that 32 metabolites (in targeted metabolomics) as well as 417 and 224 ion features (in positive and negative ionization modes of untargeted metabolomics, respectively) were critically dysregulated. The network analysis showed that the biosynthesis or metabolism of lipids, such as glycosphingolipids, sphingolipids, glycerophospholipids, and ether lipids, as well as the metabolism of amino acids (glycine, serine and threonine; cysteine and methionine) is affected by heavy MA abuse. These findings reveal crucial metabolic effects caused by MA addiction, with emphasis on the value of human hair as a diagnostic specimen for determining drug addiction, and will aid in identifying robust diagnostic markers and therapeutic targets.
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Affiliation(s)
- Suji Kim
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
| | - Won-Jun Jang
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
| | - Hyerim Yu
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
| | - Jihyun Kim
- National Forensic Service, 10, Ipchun-ro, Wonju, Gangwon-do 26460, Korea; (J.K.); (S.-K.L.)
| | - Sang-Ki Lee
- National Forensic Service, 10, Ipchun-ro, Wonju, Gangwon-do 26460, Korea; (J.K.); (S.-K.L.)
| | - Chul-Ho Jeong
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
| | - Sooyeun Lee
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
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33
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Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics: The GUSTO study. Sci Rep 2020; 10:9422. [PMID: 32523012 PMCID: PMC7287081 DOI: 10.1038/s41598-020-66026-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 05/12/2020] [Indexed: 11/23/2022] Open
Abstract
Infant adiposity may be related to later metabolic health. Maternal metabolite profiling reflects both genetic and environmental influences and allows elucidation of metabolic pathways associated with infant adiposity. In this multi-ethnic Asian cohort, we aimed to (i) identify maternal plasma metabolites associated with infant adiposity and other birth outcomes and (ii) investigate the maternal characteristics associated with those metabolites. In 940 mother-offspring pairs, we performed gas chromatography-mass spectrometry and identified 134 metabolites in maternal fasting plasma at 26–28 weeks of gestation. At birth, neonatal triceps and subscapular skinfold thicknesses were measured by trained research personnel, while weight and length measures were abstracted from delivery records. Gestational age was estimated from first-trimester dating ultrasound. Associations were assessed by multivariable linear regression, with p-values corrected using the Benjamini-Hochberg approach. At a false discovery rate of 5%, we observed associations between 28 metabolites and neonatal sum of skinfold thicknesses (13 amino acid-related, 4 non-esterified fatty acids, 6 xenobiotics, and 5 unknown compounds). Few associations were observed with gestational duration, birth weight, or birth length. Maternal ethnicity, pre-pregnancy BMI, and diet quality during pregnancy had the strongest associations with the specific metabolome related to infant adiposity. Further studies are warranted to replicate our findings and to understand the underlying mechanisms.
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34
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Bardanzellu F, Puddu M, Fanos V. The Human Breast Milk Metabolome in Preeclampsia, Gestational Diabetes, and Intrauterine Growth Restriction: Implications for Child Growth and Development. J Pediatr 2020; 221S:S20-S28. [PMID: 32482230 DOI: 10.1016/j.jpeds.2020.01.049] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 01/16/2020] [Accepted: 01/21/2020] [Indexed: 02/07/2023]
Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Italy.
| | - Melania Puddu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Italy
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35
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Yang J, Wei Y, Qi H, Yin N, Yang Y, Li Z, Xu L, Wang X, Yuan P, Li L, Han TL, Zhao Y. Neonatal hair profiling reveals a metabolic phenotype of monochorionic twins with selective intrauterine growth restriction and abnormal umbilical artery flow. Mol Med 2020; 26:37. [PMID: 32357834 PMCID: PMC7193362 DOI: 10.1186/s10020-020-00160-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 03/20/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Selective intrauterine fetal growth restriction (sIUGR) in monochorionic diamniotic twins, especially types 2&3 with abnormal umbilical artery Doppler, results in increased risk of fetal/perinatal mortality and postnatal disability. We investigate whether the hair metabolome profiles of neonates were associated with the pathophysiological differences across the different clinical forms of sIUGR in twins. METHODS Hair samples were collected at delivery from 10 pairs of type 1 sIUGR twins, 8 pairs of types 2&3 sIUGR twins, and 11 pairs of twins without sIUGR. The hair metabolome was characterized using gas chromatography-mass spectrometry. RESULTS Our results demonstrated that the hair metabolite profiles of the different sIUGR subclinical forms were associated with the averaged fetal growth rate after 28 weeks of gestation but not with birthweight. The hair profiles were capable of discriminating type2&3 sIUGR twins from twins without sIUGR. In particular, the metabolites 2-aminobutyric acid, cysteine, alanine, and tyrosine all displayed areas under the receiver operating characteristic curve were above 0.9. The metabolic pathway analysis highlighted the associations of sIUGR twins with abnormal umbilical artery flow with increased metabolites from a nutrient depletion pathway, glutathione metabolism, and nerve development. CONCLUSION This study offers novel insight into the severity of intrauterine ischemia and hypoxia for T2&3 sIUGR twins, through evaluation of the neonatal hair metabolome.
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Affiliation(s)
- Jing Yang
- Department of Obstetrics & Gynecology, Peking University Third Hospital, No.49 North HuaYuan Road, HaiDian District, Beijing, 100191, China
| | - Yuan Wei
- Department of Obstetrics & Gynecology, Peking University Third Hospital, No.49 North HuaYuan Road, HaiDian District, Beijing, 100191, China
| | - Hongbo Qi
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400716, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400716, China
| | - Nanlin Yin
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400716, China
| | - Yang Yang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400716, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400716, China
| | - Zailing Li
- Department of Pediatrics, Peking University Third Hospital, Beijing, 100191, China
| | - Lili Xu
- Department of Pediatrics, Peking University Third Hospital, Beijing, 100191, China
| | - Xueju Wang
- Department of Obstetrics & Gynecology, Peking University Third Hospital, No.49 North HuaYuan Road, HaiDian District, Beijing, 100191, China
| | - Pengbo Yuan
- Department of Obstetrics & Gynecology, Peking University Third Hospital, No.49 North HuaYuan Road, HaiDian District, Beijing, 100191, China
| | - Luyao Li
- Department of Obstetrics & Gynecology, Peking University Third Hospital, No.49 North HuaYuan Road, HaiDian District, Beijing, 100191, China
| | - Ting-Li Han
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400716, China. .,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400716, China. .,Liggins Institute, University of Auckland, Auckland, 1142, New Zealand.
| | - Yangyu Zhao
- Department of Obstetrics & Gynecology, Peking University Third Hospital, No.49 North HuaYuan Road, HaiDian District, Beijing, 100191, China.
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36
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López-Hernández Y, Oropeza-Valdez JJ, Blanco-Sandate JO, Herrera-Van Oostdam AS, Zheng J, Chi Guo A, Lima-Rogel V, Rajabzadeh R, Salgado-Bustamante M, Adrian-Lopez J, Castillo CG, Robles Arguelles E, Monárrez-Espino J, Mandal R, Wishart DS. The Urinary Metabolome of Healthy Newborns. Metabolites 2020; 10:E165. [PMID: 32340350 PMCID: PMC7240964 DOI: 10.3390/metabo10040165] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 04/18/2020] [Accepted: 04/21/2020] [Indexed: 02/06/2023] Open
Abstract
The knowledge of normal metabolite values for neonates is key to establishing robust cut-off values to diagnose diseases, to predict the occurrence of new diseases, to monitor a neonate's metabolism, or to assess their general health status. For full term-newborns, many reference biochemical values are available for blood, serum, plasma and cerebrospinal fluid. However, there is a surprising lack of information about normal urine concentration values for a large number of important metabolites in neonates. In the present work, we used targeted tandem mass spectrometry (MS/MS)-based metabolomic assays to identify and quantify 136 metabolites of biomedical interest in the urine from 48 healthy, full-term term neonates, collected in the first 24 h of life. In addition to this experimental study, we performed a literature review (covering the past eight years and over 500 papers) to update the references values in the Human Metabolome Database/Urine Metabolome Database (HMDB/UMDB). Notably, 86 of the experimentally measured urinary metabolites are being reported in neonates/infants for the first time and another 20 metabolites are being reported in human urine for the first time ever. Sex differences were found for 15 metabolites. The literature review allowed us to identify another 78 urinary metabolites with concentration data. As a result, reference concentration values and ranges for 378 neonatal urinary metabolites are now publicly accessible via the HMDB.
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Affiliation(s)
- Yamilé López-Hernández
- CONACyT, Metabolomics and Proteomics Laboratory, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico
| | - Juan José Oropeza-Valdez
- Unidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Zacatecas 98000, Mexico;
| | - Jorge O. Blanco-Sandate
- CIACYT-Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78210, Mexico; (J.O.B.-S.); (C.G.C.)
| | - Ana Sofia Herrera-Van Oostdam
- Biochemistry Department, Faculty of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78210, Mexico; (A.S.H.-V.O.); (M.S.-B.)
| | - Jiamin Zheng
- The Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada; (J.Z.); (A.C.G.); (R.R.); (R.M.)
| | - An Chi Guo
- The Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada; (J.Z.); (A.C.G.); (R.R.); (R.M.)
| | - Victoria Lima-Rogel
- Hospital Central “Dr. Ignacio Morones Prieto”, San Luis Potosí 78290, Mexico;
| | - Rahmatollah Rajabzadeh
- The Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada; (J.Z.); (A.C.G.); (R.R.); (R.M.)
| | - Mariana Salgado-Bustamante
- Biochemistry Department, Faculty of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78210, Mexico; (A.S.H.-V.O.); (M.S.-B.)
| | - Jesus Adrian-Lopez
- MicroRNAs Laboratory, Unidad Académica de Ciencias Biológicas, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico; (J.A.-L.); (E.R.A.)
| | - C. G. Castillo
- CIACYT-Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78210, Mexico; (J.O.B.-S.); (C.G.C.)
| | - Emilia Robles Arguelles
- MicroRNAs Laboratory, Unidad Académica de Ciencias Biológicas, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico; (J.A.-L.); (E.R.A.)
| | | | - Rupasri Mandal
- The Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada; (J.Z.); (A.C.G.); (R.R.); (R.M.)
| | - David S. Wishart
- The Metabolomics Innovation Center, University of Alberta, Edmonton, AB T6G1C9, Canada; (J.Z.); (A.C.G.); (R.R.); (R.M.)
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37
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Souza RT, McKenzie EJ, Jones B, de Seymour JV, Thomas MM, Zarate E, Han TL, McCowan L, Sulek K, Villas-Boas S, Kenny LC, Cecatti JG, Baker PN. Trace biomarkers associated with spontaneous preterm birth from the maternal serum metabolome of asymptomatic nulliparous women - parallel case-control studies from the SCOPE cohort. Sci Rep 2019; 9:13701. [PMID: 31548567 PMCID: PMC6757051 DOI: 10.1038/s41598-019-50252-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 09/09/2019] [Indexed: 02/07/2023] Open
Abstract
Prediction of spontaneous preterm birth (sPTB) in asymptomatic women remains a great challenge; accurate and reproducible screening tools are still not available in clinical practice. We aimed to investigate whether the maternal serum metabolome together with clinical factors could be used to identify asymptomatic women at risk of sPTB. We conducted two case-control studies using gas chromatography-mass spectrometry to analyse maternal serum samples collected at 15- and 20-weeks' gestation from 164 nulliparous women from Cork, and 157 from Auckland. Smoking and vaginal bleeding before 15 weeks were the only significant clinical predictors of sPTB for Auckland and Cork subsets, respectively. Decane, undecane, and dodecane were significantly associated with sPTB (FDR < 0.05) in the Cork subset. An odds ratio of 1.9 was associated with a one standard deviation increase in log (undecane) in a multiple logistic regression which also included vaginal bleeding as a predictor. In summary, elevated serum levels of the alkanes decane, undecane, and dodecane were associated with sPTB in asymptomatic nulliparous women from Cork, but not in the Auckland cohort. The association is not strong enough to be a useful clinical predictor, but suggests that further investigation of the association between oxidative stress processes and sPTB risk is warranted.
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Affiliation(s)
- Renato T Souza
- Department of Obstetrics and Gynecology, University of Campinas, Campinas, Brazil.
| | | | | | | | | | - Erica Zarate
- The University of Auckland, Auckland, New Zealand
| | - Ting Li Han
- The University of Auckland, Auckland, New Zealand
| | | | | | | | - Louise C Kenny
- The Department of Women's and Children's Health, Institute of Translational Medicine, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
| | - José G Cecatti
- Department of Obstetrics and Gynecology, University of Campinas, Campinas, Brazil
| | - Philip N Baker
- The University of Auckland, Auckland, New Zealand
- College of Life Sciences, University of Leicester, Leicester, United Kingdom
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Leite DFB, Morillon AC, Melo Júnior EF, Souza RT, McCarthy FP, Khashan A, Baker P, Kenny LC, Cecatti JG. Examining the predictive accuracy of metabolomics for small-for-gestational-age babies: a systematic review. BMJ Open 2019; 9:e031238. [PMID: 31401613 PMCID: PMC6701563 DOI: 10.1136/bmjopen-2019-031238] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 07/13/2019] [Accepted: 07/17/2019] [Indexed: 01/23/2023] Open
Abstract
INTRODUCTION To date, there is no robust enough test to predict small-for-gestational-age (SGA) infants, who are at increased lifelong risk of morbidity and mortality. OBJECTIVE To determine the accuracy of metabolomics in predicting SGA babies and elucidate which metabolites are predictive of this condition. DATA SOURCES Two independent researchers explored 11 electronic databases and grey literature in February 2018 and November 2018, covering publications from 1998 to 2018. Both researchers performed data extraction and quality assessment independently. A third researcher resolved discrepancies. STUDY ELIGIBILITY CRITERIA Cohort or nested case-control studies were included which investigated pregnant women and performed metabolomics analysis to evaluate SGA infants. The primary outcome was birth weight <10th centile-as a surrogate for fetal growth restriction-by population-based or customised charts. STUDY APPRAISAL AND SYNTHESIS METHODS Two independent researchers extracted data on study design, obstetric variables and sampling, metabolomics technique, chemical class of metabolites, and prediction accuracy measures. Authors were contacted to provide additional data when necessary. RESULTS A total of 9181 references were retrieved. Of these, 273 were duplicate, 8760 were removed by title or abstract, and 133 were excluded by full-text content. Thus, 15 studies were included. Only two studies used the fifth centile as a cut-off, and most reports sampled second-trimester pregnant women. Liquid chromatography coupled to mass spectrometry was the most common metabolomics approach. Untargeted studies in the second trimester provided the largest number of predictive metabolites, using maternal blood or hair. Fatty acids, phosphosphingolipids and amino acids were the most prevalent predictive chemical subclasses. CONCLUSIONS AND IMPLICATIONS Significant heterogeneity of participant characteristics and methods employed among studies precluded a meta-analysis. Compounds related to lipid metabolism should be validated up to the second trimester in different settings. PROSPERO REGISTRATION NUMBER CRD42018089985.
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Affiliation(s)
- Debora Farias Batista Leite
- Department of Tocogynecology, Campinas' State University, Campinas, Brazil
- Department of Maternal and Child Health, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil
| | - Aude-Claire Morillon
- Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork National University of Ireland, Cork, Ireland
| | | | - Renato T Souza
- Obstetrics and Gynecology, Universidade Estadual de Campinas, Campinas, Brazil
| | - Fergus P McCarthy
- Department of Gynaecology and Obstetrics, St Thomas Hospital, Cork, UK
| | - Ali Khashan
- Department of Epidemiology and Public Health, University College Cork, Cork, Ireland
| | - Philip Baker
- College of Medicine, University of Leicester, Leicester, UK
| | - Louise C Kenny
- Department of Women's and Children's Health, University of Liverpool School of Life Sciences, Liverpool, UK
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Everson TM, Marsit CJ. Integrating -Omics Approaches into Human Population-Based Studies of Prenatal and Early-Life Exposures. Curr Environ Health Rep 2019; 5:328-337. [PMID: 30054820 DOI: 10.1007/s40572-018-0204-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW We present the study design and methodological suggestions for population-based studies that integrate molecular -omics data and highlight recent studies that have used such data to examine the potential impacts of prenatal environmental exposures on fetal health. RECENT FINDINGS Epidemiologic studies have observed numerous relationships between prenatal exposures (smoking, toxic metals, endocrine disruptors) and fetal and early-life molecular profiles, though such investigations have so far been dominated by epigenomic association studies. However, recent transcriptomic, proteomic, and metabolomic studies have demonstrated their promise for the identification of exposure and response biomarkers. Molecular -omics have opened new avenues of research in environmental health that can improve our understanding of disease etiology and contribute to the development of exposure and response biomarkers. Studies that incorporate multiple -omics data from different molecular domains in longitudinally collected samples hold particular promise.
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Affiliation(s)
- Todd M Everson
- Departments of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Claudia Nance Rollins Room 2021, Atlanta, GA, 30322, USA
| | - Carmen J Marsit
- Departments of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Claudia Nance Rollins Room 2021, Atlanta, GA, 30322, USA. .,Departments of Environmental Health and Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Claudia Nance Rollins Room 2021, Atlanta, GA, 30322, USA.
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Hair Metabolomics in Animal Studies and Clinical Settings. Molecules 2019; 24:molecules24122195. [PMID: 31212725 PMCID: PMC6630908 DOI: 10.3390/molecules24122195] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 06/11/2019] [Accepted: 06/11/2019] [Indexed: 12/12/2022] Open
Abstract
Metabolomics is a powerful tool used to understand comprehensive changes in the metabolic response and to study the phenotype of an organism by instrumental analysis. It most commonly involves mass spectrometry followed by data mining and metabolite assignment. For the last few decades, hair has been used as a valuable analytical sample to investigate retrospective xenobiotic exposure as it provides a wider window of detection than other biological samples such as saliva, plasma, and urine. Hair contains functional metabolomes such as amino acids and lipids. Moreover, segmental analysis of hair based on its growth rate can provide information on metabolic changes over time. Therefore, it has great potential as a metabolomics sample to monitor chronic diseases, including drug addiction or abnormal conditions. In the current review, the latest applications of hair metabolomics in animal studies and clinical settings are highlighted. For this purpose, we review and discuss the characteristics of hair as a metabolomics sample, the analytical techniques employed in hair metabolomics and the consequence of hair metabolome alterations in recent studies. Through this, the value of hair as an alternative biological sample in metabolomics is highlighted.
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(Un)targeted hair metabolomics: first considerations and systematic evaluation on the impact of sample preparation. Anal Bioanal Chem 2019; 411:3963-3977. [DOI: 10.1007/s00216-019-01873-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 04/17/2019] [Accepted: 04/26/2019] [Indexed: 12/31/2022]
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Souza RT, Mayrink J, Leite DF, Costa ML, Calderon IM, Rocha EA, Vettorazzi J, Feitosa FE, Cecatti JG. Metabolomics applied to maternal and perinatal health: a review of new frontiers with a translation potential. Clinics (Sao Paulo) 2019; 74:e894. [PMID: 30916173 PMCID: PMC6438130 DOI: 10.6061/clinics/2019/e894] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 11/27/2018] [Indexed: 12/31/2022] Open
Abstract
The prediction or early diagnosis of maternal complications is challenging mostly because the main conditions, such as preeclampsia, preterm birth, fetal growth restriction, and gestational diabetes mellitus, are complex syndromes with multiple underlying mechanisms related to their occurrence. Limited advances in maternal and perinatal health in recent decades with respect to preventing these disorders have led to new approaches, and "omics" sciences have emerged as a potential field to be explored. Metabolomics is the study of a set of metabolites in a given sample and can represent the metabolic functioning of a cell, tissue or organism. Metabolomics has some advantages over genomics, transcriptomics, and proteomics, as metabolites are the final result of the interactions of genes, RNAs and proteins. Considering the recent "boom" in metabolomic studies and their importance in the research agenda, we here review the topic, explaining the rationale and theory of the metabolomic approach in different areas of maternal and perinatal health research for clinical practitioners. We also demonstrate the main exploratory studies of these maternal complications, commenting on their promising findings. The potential translational application of metabolomic studies, especially for the identification of predictive biomarkers, is supported by the current findings, although they require external validation in larger datasets and with alternative methodologies.
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Affiliation(s)
- Renato Teixeira Souza
- Departamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR
| | - Jussara Mayrink
- Departamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR
| | - Débora Farias Leite
- Departamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR
- Departamento Materno Infantil, Faculdade de Medicina, Universidade Federal de Pernambuco, Pernambuco, PE, BR
| | - Maria Laura Costa
- Departamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR
| | - Iracema Mattos Calderon
- Departamento de Ginecologia e Obstetricia, Faculdade de Medicina de Botucatu, Universidade Estadual de Sao Paulo (UNESP), Botucatu, SP, BR
| | - Edilberto Alves Rocha
- Departamento Materno Infantil, Faculdade de Medicina, Universidade Federal de Pernambuco, Pernambuco, PE, BR
| | - Janete Vettorazzi
- Departamento de Ginecologia e Obstetricia, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, RS, BR
| | - Francisco Edson Feitosa
- Departamento de Ginecologia e Obstetricia, Faculdade de Medicina, Universidade Federal do Ceara, Ceara, CE, BR
| | - José Guilherme Cecatti
- Departamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade Estadual de Campinas, Campinas, SP, BR
- Corresponding author. E-mail:
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Planning, Implementing, and Running a Multicentre Preterm Birth Study with Biobank Resources in Brazil: The Preterm SAMBA Study. BIOMED RESEARCH INTERNATIONAL 2019; 2019:5476350. [PMID: 30775382 PMCID: PMC6354138 DOI: 10.1155/2019/5476350] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Revised: 12/16/2018] [Accepted: 12/27/2018] [Indexed: 11/17/2022]
Abstract
Background Our aim was to describe the steps in planning, implementing, and running a multicentre cohort study of maternal and perinatal health using a high-quality biobank comprised of maternal serum, plasma, and hair samples collected from five sites in Brazil. The Preterm SAMBA study, conducted by the Brazilian Network for Studies on Reproductive and Perinatal Health, was an innovative approach used to identify women at higher risk for preterm birth. It is also of great importance in the study of other maternal and perinatal complications in the context of Brazil, which is a middle-income country. Methods We described phases of planning, implementing, and running the Preterm SAMBA study, a multicentre Brazilian cohort study of low-risk nulliparous pregnant women, to validate a set of metabolite biomarkers for preterm birth identified in an external cohort. Procedures and strategies used to plan, implement, and maintain this multicentre preterm birth study are described in detail. Barriers and experience cited in the current narrative are not usually discussed in the scientific literature or published study protocols. Results Several barriers and strategies were identified in different phases of the Preterm SAMBA study at different levels of the study framework (steering committee; coordinating and local centres). Strategies implemented and resources used in the study are a legacy of the Brazilian Network, aimed at training collaborators in such complex settings. Conclusion The Brazilian Network for Studies on Reproductive and Perinatal Health has gained some experience in conducting a multicentre cohort study using a resourceful biobank which may be helpful to other research groups and maternal/perinatal health networks that plan on employing a similar approach to a similar background.
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Delplancke TDJ, Wu Y, Han TL, Joncer LR, Qi H, Tong C, Baker PN. Metabolomics of Pregnancy Complications: Emerging Application of Maternal Hair. BIOMED RESEARCH INTERNATIONAL 2018; 2018:2815439. [PMID: 30662903 PMCID: PMC6312607 DOI: 10.1155/2018/2815439] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 11/18/2018] [Indexed: 02/01/2023]
Abstract
In recent years, the study of metabolomics has begun to receive increasing international attention, especially as it pertains to medical research. This is due in part to the potential for discovery of new biomarkers in the metabolome and to a new understanding of the "exposome", which refers to the endogenous and exogenous compounds that reflect external exposures. Consequently, metabolomics research into pregnancy-related issues has increased. Biomarkers discovered through metabolomics may shed some light on the etiology of certain pregnancy-related complications and their adverse effects on future maternal health and infant development and improve current clinical management. The discoveries and methods used in these studies will be compiled and summarized within the following paper. A further focus of this paper is the use of hair as a biological sample, which is gaining increasing attention across diverse fields due to its noninvasive sampling method and the metabolome stability. Its significance in exposome studies will be considered in this review, as well as the potential to associate exposures with adverse pregnancy outcomes. Currently, hair has been used in only two metabolomics studies relating to fetal growth restriction (FGR) and gestational diabetes mellitus (GDM).
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Affiliation(s)
- Thibaut D. J. Delplancke
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Yue Wu
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Ting-Li Han
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Lingga R. Joncer
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Hongbo Qi
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Chao Tong
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Philip N. Baker
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
- Liggins Institute, University of Auckland, Auckland, New Zealand
- College of Medicine, University of Leicester, Leicester LE1 7RH, UK
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Leite DFB, Morillon AC, Melo Júnior EF, Souza RT, Khashan AS, Baker PN, Kenny LC, Cecatti JG. Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis. BMJ Open 2018; 8:e022743. [PMID: 30530473 PMCID: PMC6286473 DOI: 10.1136/bmjopen-2018-022743] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 08/11/2018] [Accepted: 10/12/2018] [Indexed: 01/09/2023] Open
Abstract
INTRODUCTION Fetal growth restriction (FGR) is a relevant research and clinical concern since it is related to higher risks of adverse outcomes at any period of life. Current predictive tools in pregnancy (clinical factors, ultrasound scan, placenta-related biomarkers) fail to identify the true growth-restricted fetus. However, technologies based on metabolomics have generated interesting findings and seem promising. In this systematic review, we will address diagnostic accuracy of metabolomics analyses in predicting FGR. METHODS AND ANALYSIS Our primary outcome is small for gestational age infant, as a surrogate for FGR, defined as birth weight below the 10th centile by customised or population-based curves for gestational age. A detailed systematic literature search will be carried in electronic databases and conference abstracts, using the keywords 'fetal growth retardation', 'metabolomics', 'pregnancy' and 'screening' (and their variations). We will include original peer-reviewed articles published from 1998 to 2018, involving pregnancies of fetuses without congenital malformations; sample collection must have been performed before clinical recognition of growth impairment. If additional information is required, authors will be contacted. Reviews, case reports, cross-sectional studies, non-human research and commentaries papers will be excluded. Sample characteristics and the diagnostic accuracy data will be retrieved and analysed. If data allows, we will perform a meta-analysis. ETHICS AND DISSEMINATION As this is a systematic review, no ethical approval is necessary. This protocol will be publicised in our institutional websites and results will be submitted for publication in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER CRD42018089985.
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Affiliation(s)
- Debora Farias Batista Leite
- Department of Maternal and Child Health, Clinics Hospital of Federal University of Pernambuco, Recife, Brazil
- Department of Gynaecology and Obstetrics, University Campinas, Sao Paulo, Brazil
| | - Aude-Claire Morillon
- Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork, Cork, Ireland
| | - Elias F Melo Júnior
- Department of Maternal and Child Health, Clinics Hospital of Federal University of Pernambuco, Recife, Brazil
| | - Renato T Souza
- Department of Gynaecology and Obstetrics, University Campinas, Sao Paulo, Brazil
| | - Ali S Khashan
- Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork, Cork, Ireland
- School of Public Health, University College Cork, Cork, Ireland
| | - Philip N Baker
- College of Life Sciences, University of Leicester, Leicester, UK
| | - Louise C Kenny
- Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork, Cork, Ireland
- Department of Women's and Children's Health, Faculty of Health and Life Sciences, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
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Chen X, de Seymour JV, Han TL, Xia Y, Chen C, Zhang T, Zhang H, Baker PN. Metabolomic biomarkers and novel dietary factors associated with gestational diabetes in China. Metabolomics 2018; 14:149. [PMID: 30830425 DOI: 10.1007/s11306-018-1445-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 10/11/2018] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) is impaired glucose tolerance first recognised during pregnancy; its development is associated with many adverse outcomes. Mechanisms of GDM development are not fully elucidated and few studies have used Chinese participants. OBJECTIVES The aim of this study was to investigate the maternal metabolome associated with GDM in a Chinese population, and explore the relationship with maternal diet. METHODS Ninety-three participants were recruited at 26-28 weeks' gestation from Chongqing, China. Maternal urine, serum, and hair metabolomes were analysed using gas and liquid chromatography-mass spectrometry. Dietary intake was assessed using a 96-item food frequency questionnaire. RESULTS Of the 1064 metabolites identified, 73 were significantly different between cases and controls (P < 0.05), but only 2-aminobutyric acid had both a p- and q-value < 0.05. A "snack-based-dietary-pattern" was associated with an increased likelihood of GDM (odds ratio 2·1; 95% confidence interval 1.1-3.9). The association remained significant after adjustment for calorie intake but not food volume. CONCLUSION This study provides a comprehensive characterization of the maternal metabolome. The snack-based dietary pattern associated with GDM suggests that timing and frequency of consumption are important factors in the relationship between maternal diet and GDM.
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Affiliation(s)
- Xuyang Chen
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China
| | - Jamie V de Seymour
- Liggins Institute, The University of Auckland, Auckland, 1023, New Zealand
| | - Ting-Li Han
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Liggins Institute, The University of Auckland, Auckland, 1023, New Zealand
| | - Yinyin Xia
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China
| | - Chang Chen
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Institute of Life Sciences, Chongqing Medical University, Chongqing, 400016, China
| | - Ting Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China
| | - Hua Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China.
| | - Philip N Baker
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, UK
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de Seymour JV, Tu S, He X, Zhang H, Han TL, Baker PN, Sulek K. Metabolomic profiling of maternal hair suggests rapid development of intrahepatic cholestasis of pregnancy. Metabolomics 2018; 14:79. [PMID: 30830343 DOI: 10.1007/s11306-018-1371-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 05/15/2018] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Intrahepatic cholestasis of pregnancy (ICP) is a common maternal liver disease; development can result in devastating consequences, including sudden fetal death and stillbirth. Currently, recognition of ICP only occurs following onset of clinical symptoms. OBJECTIVE Investigate the maternal hair metabolome for predictive biomarkers of ICP. METHODS The maternal hair metabolome (gestational age of sampling between 17 and 41 weeks) of 38 Chinese women with ICP and 46 pregnant controls was analysed using gas chromatography-mass spectrometry. RESULTS Of 105 metabolites detected in hair, none were significantly associated with ICP. CONCLUSION Hair samples represent accumulative environmental exposure over time. Samples collected at the onset of ICP did not reveal any metabolic shifts, suggesting rapid development of the disease.
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Affiliation(s)
| | - Stephanie Tu
- Liggins Institute, University of Auckland, Auckland, New Zealand
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Xiaoling He
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ting-Li Han
- Liggins Institute, University of Auckland, Auckland, New Zealand
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Philip N Baker
- Liggins Institute, University of Auckland, Auckland, New Zealand
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- The College of Life Sciences, University of Leicester, Leicester, UK
| | - Karolina Sulek
- Liggins Institute, University of Auckland, Auckland, New Zealand.
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Association between maternal exposure to phthalates and lower language ability in offspring derived from hair metabolome analysis. Sci Rep 2018; 8:6745. [PMID: 29712949 PMCID: PMC5928220 DOI: 10.1038/s41598-018-24936-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 04/10/2018] [Indexed: 12/03/2022] Open
Abstract
The fetus undergoes a crucial period of neurodevelopment in utero. The maternal hair metabolome provides an integrated record of the metabolic state of the mother prior to, and during pregnancy. We investigated whether variation in the maternal hair metabolome was associated with neurodevelopmental differences across infants. Maternal hair samples and infant neurocognitive assessments (using the Bayley III Scales of Infant Development at 24 months) were obtained for 373 infant-mother dyads between 26–28 weeks’ gestation from the Growing Up in Singapore Towards Healthy Outcomes cohort. The hair metabolome was analysed using gas chromatography-mass spectrometry. Intensity measurements were obtained for 276 compounds. After controlling for maternal education, ethnicity, and infant sex, associations between metabolites and expressive language skills were detected, but not for receptive language, cognitive or motor skills. The results confirm previous research associating higher levels of phthalates with lower language ability. In addition, scores were positively associated with a cluster of compounds, including adipic acid and medium-chain fatty acids. The data support associations between the maternal hair metabolome and neurodevelopmental processes of the fetus. The association between phthalates and lower language ability highlights a modifiable risk factor that warrants further investigation.
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Gil AM, Duarte D, Pinto J, Barros AS. Assessing Exposome Effects on Pregnancy through Urine Metabolomics of a Portuguese (Estarreja) Cohort. J Proteome Res 2018; 17:1278-1289. [DOI: 10.1021/acs.jproteome.7b00878] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Ana M. Gil
- CICECO
- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Daniela Duarte
- CICECO
- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Joana Pinto
- CICECO
- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
- UCIBIO@REQUIMTE/Laboratório
de Toxicologia, Departamento de Ciências Biológicas,
Faculdade de Farmácia, Universidade do Porto, 4050-313 Porto, Portugal
| | - António S. Barros
- CICECO
- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
- Department
of Cardiothoracic Surgery and Physiology, Faculty of Medicine, Porto 4200-319, Portugal
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Delplancke TDJ, de Seymour JV, Tong C, Sulek K, Xia Y, Zhang H, Han TL, Baker PN. Analysis of sequential hair segments reflects changes in the metabolome across the trimesters of pregnancy. Sci Rep 2018; 8:36. [PMID: 29311683 PMCID: PMC5758601 DOI: 10.1038/s41598-017-18317-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 12/08/2017] [Indexed: 01/03/2023] Open
Abstract
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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Affiliation(s)
- Thibaut D J Delplancke
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- International Joint Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
| | | | - Chao Tong
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- International Joint Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
| | - Karolina Sulek
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej, 3b, 6.6.24, Copenhagen, Denmark
| | - Yinyin Xia
- Department of Occupational and Environmental Hygiene, School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Hua Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- International Joint Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
| | - Ting-Li Han
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- International Joint Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China.
- Liggins Institute, University of Auckland, Auckland, New Zealand.
| | - Philip N Baker
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- International Joint Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, China
- College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, United Kingdom
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