1
|
Gondane P, Kumbhakarn S, Maity P, Kapat K. Recent Advances and Challenges in the Early Diagnosis and Treatment of Preterm Labor. Bioengineering (Basel) 2024; 11:161. [PMID: 38391647 PMCID: PMC10886370 DOI: 10.3390/bioengineering11020161] [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: 12/30/2023] [Revised: 01/30/2024] [Accepted: 02/04/2024] [Indexed: 02/24/2024] Open
Abstract
Preterm birth (PTB) is the primary cause of neonatal mortality and long-term disabilities. The unknown mechanism behind PTB makes diagnosis difficult, yet early detection is necessary for controlling and averting related consequences. The primary focus of this work is to provide an overview of the known risk factors associated with preterm labor and the conventional and advanced procedures for early detection of PTB, including multi-omics and artificial intelligence/machine learning (AI/ML)- based approaches. It also discusses the principles of detecting various proteomic biomarkers based on lateral flow immunoassay and microfluidic chips, along with the commercially available point-of-care testing (POCT) devices and associated challenges. After briefing the therapeutic and preventive measures of PTB, this review summarizes with an outlook.
Collapse
Affiliation(s)
- Prashil Gondane
- Department of Medical Devices, National Institute of Pharmaceutical Education and Research Kolkata, 168, Maniktala Main Road, Kankurgachi, Kolkata 700054, India
| | - Sakshi Kumbhakarn
- Department of Medical Devices, National Institute of Pharmaceutical Education and Research Kolkata, 168, Maniktala Main Road, Kankurgachi, Kolkata 700054, India
| | - Pritiprasanna Maity
- Department of Regenerative Medicine and Cell Biology, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Kausik Kapat
- Department of Medical Devices, National Institute of Pharmaceutical Education and Research Kolkata, 168, Maniktala Main Road, Kankurgachi, Kolkata 700054, India
| |
Collapse
|
2
|
Basov NV, Rogachev AD, Aleshkova MA, Gaisler EV, Sotnikova YS, Patrushev YV, Tolstikova TG, Yarovaya OI, Pokrovsky AG, Salakhutdinov NF. Global LC-MS/MS targeted metabolomics using a combination of HILIC and RP LC separation modes on an organic monolithic column based on 1-vinyl-1,2,4-triazole. Talanta 2024; 267:125168. [PMID: 37708770 DOI: 10.1016/j.talanta.2023.125168] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/28/2023] [Accepted: 09/04/2023] [Indexed: 09/16/2023]
Abstract
The paper presents an LC-MS/MS-based approach to targeted screening of both polar and non-polar metabolites using a synthesized monolithic column which is a copolymer of styrene, divinylbenzene, and 1-vinyl-1,2,4-triazole. It was shown that this column in combination with eluents 20 mM (NH4)2CO3 + NH3 (pH = 9.8, eluent A) and ACN (eluent B) allows for separation of metabolites of different nature in two modes, HILIC and RP LC, and these methods are mutually complementary. A combination of analyses based on these two modes was proposed, allowing detection of about 400 metabolites in a total time of less than 30 min. Comparison of the developed method with those utilizing commercially available columns with sorbents of various types showed that it could provide a broader metabolite coverage. Using the developed approach, metabolomic screening of dried blood spots samples of mice exposed with X-ray was performed, and metabolites that could be considered as possible markers of irradiation exposure and organ tissue damage were detected. Analysis of marker metabolites revealed metabolic pathways that were altered by radiation exposure. Comparison of the results with literature data showed the effectiveness of the developed metabolomic screening approach.
Collapse
Affiliation(s)
- Nikita V Basov
- N. N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Acad. Lavrentiev Ave., 9, 630090, Novosibirsk, Russia; Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia
| | - Artem D Rogachev
- N. N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Acad. Lavrentiev Ave., 9, 630090, Novosibirsk, Russia; Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia.
| | - Maria A Aleshkova
- N. N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Acad. Lavrentiev Ave., 9, 630090, Novosibirsk, Russia; Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia
| | - Evgeny V Gaisler
- N. N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Acad. Lavrentiev Ave., 9, 630090, Novosibirsk, Russia; Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia
| | - Yulia S Sotnikova
- N. N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Acad. Lavrentiev Ave., 9, 630090, Novosibirsk, Russia; Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia; Boreskov Institute of Catalysis, Acad. Lavrentiev Ave., 5, 630090, Novosibirsk, Russia
| | - Yuri V Patrushev
- Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia; Boreskov Institute of Catalysis, Acad. Lavrentiev Ave., 5, 630090, Novosibirsk, Russia
| | - Tatiana G Tolstikova
- N. N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Acad. Lavrentiev Ave., 9, 630090, Novosibirsk, Russia; Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia
| | - Olga I Yarovaya
- N. N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Acad. Lavrentiev Ave., 9, 630090, Novosibirsk, Russia; Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia
| | - Andrey G Pokrovsky
- Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia
| | - Nariman F Salakhutdinov
- N. N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Acad. Lavrentiev Ave., 9, 630090, Novosibirsk, Russia; Novosibirsk State University, Pirogov Str., 2, 630090, Novosibirsk, Russia
| |
Collapse
|
3
|
Jia B, Tang L, Liu H, Chen W, Chen Q, Zhong M, Yin A. Potential roles of the interactions between gut microbiota and metabolites in LPS-induced intrauterine inflammation (IUI) and associated preterm birth (PTB). J Transl Med 2024; 22:7. [PMID: 38167140 PMCID: PMC10762855 DOI: 10.1186/s12967-023-04603-8] [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: 05/31/2023] [Accepted: 10/06/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Prenatal exposure to intrauterine inflammation (IUI) is a crucial event in preterm birth (PTB) pathophysiology, increasing the incidence of neurodevelopmental disorders. Gut microbiota and metabolite profile alterations have been reported to be involved in PTB pathophysiology. METHOD AND RESULTS In this study, IUI-exposed PTB mouse model was established and verified by PTB rate and other perinatal adverse reactions; LPS-indued IUI significantly increased the rates of PTB, apoptosis and inflammation in placenta tissue samples. LPS-induced IUI caused no significant differences in species richness and evenness but significantly altered the species abundance distribution. Non-targeted metabolomics analysis indicated that the metabolite profile of the preterm mice was altered, and differential metabolites were associated with signaling pathways including pyruvate metabolism. Furthermore, a significant positive correlation between Parasutterella excrementihominis and S4572761 (Nb-p-coumaroyltryptamine) and Mreference-1264 (pyruvic acid), respectively, was observed. Lastly, pyruvic acid treatment partially improved LPS-induced IUI phenotypes and decreased PTB rates and decreased the apoptosis and inflammation in placenta tissue samples. CONCLUSION This study revealed an association among gut microbiota dysbiosis, metabolite profile alterations, and LPS-induced IUI and PTB in mice models. Our investigation revealed the possible involvement of gut microbiota in the pathophysiology of LPS-induced IUI and PTB, which might be mediated by metabolites such as pyruvic acid. Future studies should be conducted to verify the findings through larger sample-sized animal studies and clinical investigations.
Collapse
Affiliation(s)
- Bei Jia
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Northern Avenue, Guangzhou, 510515, People's Republic of China
| | - Lijun Tang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Northern Avenue, Guangzhou, 510515, People's Republic of China
| | - Huibing Liu
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Northern Avenue, Guangzhou, 510515, People's Republic of China
| | - Wenqian Chen
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Northern Avenue, Guangzhou, 510515, People's Republic of China
| | - Qian Chen
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Northern Avenue, Guangzhou, 510515, People's Republic of China
| | - Mei Zhong
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Northern Avenue, Guangzhou, 510515, People's Republic of China
| | - Ailan Yin
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Northern Avenue, Guangzhou, 510515, People's Republic of China.
| |
Collapse
|
4
|
Huang N, Jiang H, Zhang Y, Sun X, Li Y, Wei Y, Yang J, Zhao Y. Amniotic fluid metabolic fingerprinting contributes to shaping the unfavourable intrauterine environment in monochorionic diamniotic twins. Clin Nutr 2024; 43:111-123. [PMID: 38035859 DOI: 10.1016/j.clnu.2023.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/07/2023] [Accepted: 11/02/2023] [Indexed: 12/02/2023]
Abstract
BACKGROUND & AIMS Amniotic fluid (AF) is the primary intrauterine environment for fetal growth throughout gestation. Selective fetal growth restriction (sFGR) is an adverse complication characterized by unequal growth in twins with nearly identical genetic makeup. However, the influence of AF-mediated intrauterine environment on the development and progression of sFGR remains unexplored. METHODS High-throughput targeted metabolomics analysis (G350) was performed on AF samples collected from sFGR (n = 18) and MCDA twins with birth weight concordance (MCDA-C, n = 20) cases. Weighted correlation network analysis (WGCNA) was used to identify clinical features that may influence the metabolite composition in AF. Subsequently, partial least-squares discriminant analysis (PLS-DA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to compare the different types of sFGR and MCDA-C twins. Receiver operating characteristic (ROC) and multivariate ROC curves were utilized to explore potential AF markers in twins with sFGR. RESULTS In our study, 182 metabolites were quantified in 76 AF samples. WGCNA indicated that the metabolite composition in late AF may not be influenced by gestational age. PLSDA demonstrated distinct variations between the metabolite profiles of AF in the sFGR and MCDA-C twins, with a significant emphasis on amino acids as the primary differential metabolite. The dissimilarities observed in sFGR twins were predominantly attributed to lipid metabolism-related metabolites. In particular, the KEGG enrichment metabolic pathway analysis revealed significant associations of both types of sFGR twins with central carbon metabolism in cancer. The multivariate ROC curves indicated that the combination of carnosine, sarcosine, l-alanine, beta-alanine, and alpha-n-phenylacetylglutamine significantly improved the AUC to 0.928. Notably, the ROC curves highlighted creatine (AUC:0.934) may be a potential biomarker for severe sFGR. CONCLUSION The data presented in this study offer a comprehensive metabolic map of the AF in cases of sFGR, shedding light on potential biomarkers associated with fetal growth and development in MCDA twins.
Collapse
Affiliation(s)
- Nana Huang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China; National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Hai Jiang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China; National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Youzhen Zhang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China; National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Xiya Sun
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China; National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Yixin Li
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China; National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Yuan Wei
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China; National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Jing Yang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China; National Center for Healthcare Quality Management in Obstetrics, Beijing, China.
| | - Yangyu Zhao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China; National Center for Healthcare Quality Management in Obstetrics, Beijing, China.
| |
Collapse
|
5
|
Huang N, Chen W, Jiang H, Yang J, Zhang Y, Shi H, Wang Y, Yuan P, Qiao J, Wei Y, Zhao Y. Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study. BMC Med 2023; 21:455. [PMID: 37996847 PMCID: PMC10666385 DOI: 10.1186/s12916-023-03134-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 10/26/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Selective fetal growth restriction (sFGR) is an extreme complication that significantly increases the risk of perinatal mortality and long-term adverse neurological outcomes in offspring, affecting approximately 15% of monochorionic diamniotic (MCDA) twin pregnancies. The lack of longitudinal cohort studies hinders the early prediction and intervention of sFGR. METHODS We constructed a prospective longitudinal cohort study of sFGR, and quantified 25 key metabolites in 337 samples from maternal plasma in the first, second, and third trimester and from cord plasma. In particular, our study examined fetal growth and brain injury data from ultrasonography and used the Ages and Stages Questionnaire-third edition subscale (ASQ-3) to evaluate the long-term neurocognitive behavioral development of infants aged 2-3 years. Furthermore, we correlated metabolite levels with ultrasound data, including physical development and brain injury indicators, and ASQ-3 data using Spearman's-based correlation tests. In addition, special combinations of differential metabolites were used to construct predictive models for the occurrence of sFGR and fetal brain injury. RESULTS Our findings revealed various dynamic patterns for these metabolites during pregnancy and a maximum of differential metabolites between sFGR and MCDA in the second trimester (n = 8). The combination of L-phenylalanine, L-leucine, and L-isoleucine in the second trimester, which were closely related to fetal growth indicators, was highly predictive of sFGR occurrence (area under the curve [AUC]: 0.878). The combination of L-serine, L-histidine, and L-arginine in the first trimester and creatinine in the second trimester was correlated with long-term neurocognitive behavioral development and showed the capacity to identify fetal brain injury with high accuracy (AUC: 0.94). CONCLUSIONS The performance of maternal plasma metabolites from the first and second trimester is superior to those from the third trimester and cord plasma in discerning sFGR and fetal brain injury. These metabolites may serve as useful biomarkers for early prediction and promising targets for early intervention in clinical settings.
Collapse
Affiliation(s)
- Nana Huang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Wei Chen
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
| | - Hai Jiang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Jing Yang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Youzhen Zhang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Huifeng Shi
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Ying Wang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Pengbo Yuan
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China
| | - Jie Qiao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China.
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China.
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China.
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China.
- Beijing Advanced Innovation Center for Genomics, Beijing, China.
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
| | - Yuan Wei
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China.
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China.
| | - Yangyu Zhao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing, 100191, China.
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.
- National Center for Healthcare Quality Management in Obstetrics, Beijing, China.
| |
Collapse
|
6
|
Kolvatzis C, Christodoulou P, Kalogiannidis I, Tsiantas K, Tsakiridis I, Kyrkou C, Cheilari A, Thomaidis NS, Zoumpoulakis P, Athanasiadis A, Michaelidou AM. Metabolomic Profiling of Second-Trimester Amniotic Fluid for Predicting Preterm Delivery: Insights from NMR Analysis. Metabolites 2023; 13:1147. [PMID: 37999243 PMCID: PMC10672859 DOI: 10.3390/metabo13111147] [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: 10/23/2023] [Revised: 11/09/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023] Open
Abstract
Preterm delivery (PTD) is a notable pregnancy complication, affecting one out of every ten births. This study set out to investigate whether analyzing the metabolic composition of amniotic fluid (AF) collected from pregnant women during the second trimester of pregnancy could offer valuable insights into prematurity. The research employed 1H-NMR metabolomics to examine AF samples obtained from 17 women who gave birth prematurely (between 29+0 and 36+5 weeks of gestation) and 43 women who delivered at full term. The application of multivariate analysis revealed metabolites (dimethylglycine, glucose, myo-inositol, and succinate) that can serve as possible biomarkers for the prognosis and early diagnosis of preterm delivery. Additionally, pathway analysis unveiled the most critical metabolic pathways relevant to our research hypothesis. In summary, these findings suggest that the metabolic composition of AF in the second trimester can be a potential indicator for identifying biomarkers associated with the risk of PTD.
Collapse
Affiliation(s)
- Charalampos Kolvatzis
- Third Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (I.K.); (I.T.); (A.A.)
| | - Paris Christodoulou
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 12243 Egaleo, Greece; (P.C.); (K.T.); (P.Z.)
| | - Ioannis Kalogiannidis
- Third Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (I.K.); (I.T.); (A.A.)
| | - Konstantinos Tsiantas
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 12243 Egaleo, Greece; (P.C.); (K.T.); (P.Z.)
| | - Ioannis Tsakiridis
- Third Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (I.K.); (I.T.); (A.A.)
| | - Charikleia Kyrkou
- Department of Food Science and Technology, Faculty of Agriculture, Forestry and Natural Environment, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (C.K.); (A.-M.M.)
| | - Antigoni Cheilari
- Department of Pharmacognosy and Natural Products Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 17551 Athens, Greece;
| | - Nikolaos S. Thomaidis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece;
| | - Panagiotis Zoumpoulakis
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 12243 Egaleo, Greece; (P.C.); (K.T.); (P.Z.)
| | - Apostolos Athanasiadis
- Third Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (I.K.); (I.T.); (A.A.)
| | - Alexandra-Maria Michaelidou
- Department of Food Science and Technology, Faculty of Agriculture, Forestry and Natural Environment, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (C.K.); (A.-M.M.)
| |
Collapse
|
7
|
Masson L, Wilson J, Amir Hamzah AS, Tachedjian G, Payne M. Advances in mass spectrometry technologies to characterize cervicovaginal microbiome functions that impact spontaneous preterm birth. Am J Reprod Immunol 2023; 90:e13750. [PMID: 37491925 DOI: 10.1111/aji.13750] [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: 04/03/2023] [Revised: 06/12/2023] [Accepted: 07/01/2023] [Indexed: 07/27/2023] Open
Abstract
Preterm birth (PTB) is a leading cause of morbidity and mortality in young children. Infection is a major cause of this adverse outcome, particularly in PTBs characterised by spontaneous rupture of membranes, referred to as spontaneous (s)PTB. However, the aetiology of sPTB is not well defined and specific bacteria associated with sPTB differ between studies and at the individual level. This may be due to many factors including a lack of understanding of strain-level differences in bacteria that influence how they function and interact with each other and the host. Metaproteomics and metabolomics are mass spectrometry-based methods that enable the collection of detailed microbial and host functional information. Technological advances in this field have dramatically increased the resolution of these approaches, enabling the simultaneous detection of thousands of proteins or metabolites. These data can be used for taxonomic analysis of vaginal bacteria and other microbes, to understand microbiome-host interactions, and identify diagnostic biomarkers or therapeutic targets. Although these methods have been used to assess host proteins and metabolites, few have characterized the microbial compartment in the context of pregnancy. The utilisation of metaproteomic and metabolomic-based approaches has the potential to vastly improve our understanding of the mechanisms leading to sPTB.
Collapse
Affiliation(s)
- Lindi Masson
- Disease Elimination Program, Life Sciences Discipline, Burnet Institute, Melbourne, Australia
- Institute of Infectious Disease and Molecular Medicine (IDM), University of Cape Town, Cape Town, South Africa
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
- Central Clinical School, Monash University, Melbourne, Australia
| | - Jenna Wilson
- Disease Elimination Program, Life Sciences Discipline, Burnet Institute, Melbourne, Australia
| | - Aleya Sarah Amir Hamzah
- Disease Elimination Program, Life Sciences Discipline, Burnet Institute, Melbourne, Australia
| | - Gilda Tachedjian
- Disease Elimination Program, Life Sciences Discipline, Burnet Institute, Melbourne, Australia
- Department of Microbiology, Monash University, Clayton, Australia
- Department of Microbiology and Immunology, at the Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Matthew Payne
- Division of Obstetrics and Gynaecology, School of Medicine, University of Western Australia, Perth, Western Australia, Australia
| |
Collapse
|
8
|
Kolvatzis C, Tsakiridis I, Kalogiannidis IA, Tsakoumaki F, Kyrkou C, Dagklis T, Daniilidis A, Michaelidou AM, Athanasiadis A. Utilizing Amniotic Fluid Metabolomics to Monitor Fetal Well-Being: A Narrative Review of the Literature. Cureus 2023; 15:e36986. [PMID: 37139280 PMCID: PMC10150141 DOI: 10.7759/cureus.36986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2023] [Indexed: 04/03/2023] Open
Abstract
Fetal and perinatal periods are critical phases for long-term development. Early diagnosis of maternal complications is challenging due to the great complexity of these conditions. In recent years, amniotic fluid has risen in a prominent position in the latest efforts to describe and characterize prenatal development. Amniotic fluid may provide real-time information on fetal development and metabolism throughout pregnancy as substances from the placenta, fetal skin, lungs, gastric fluid, and urine are transferred between the mother and the fetus. Applying metabolomics to monitor fetal well-being, in such a context, could help in the understanding, diagnosis, and treatment of these conditions and is a promising area of research. This review shines a spotlight on recent amniotic fluid metabolomics studies and their methods as an interesting tool for the assessment of many conditions and the identification of biomarkers. Platforms in use, such as proton nuclear magnetic resonance (1H NMR) and ultra-high-performance liquid chromatography (UHPLC), have different merits, and a combinatorial approach could be valuable. Metabolomics may also be used in the quest for habitual diet-induced metabolic signals in amniotic fluid. Finally, analysis of amniotic fluid can provide information on exposure to exogenous substances by detecting the exact levels of metabolites carried to the fetus and associated metabolic effects.
Collapse
|
9
|
Milić N, Milanović M, Drljača J, Sudji J, Milošević N. Challenges in the Analytical Preparation of a Biological Matrix in Analyses of Endocrine-Disrupting Bisphenols. SEPARATIONS 2023. [DOI: 10.3390/separations10040226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
Abstract
Endocrine-disrupting chemicals (EDCs) are xenobiotics presented in a variety of everyday products that may disrupt the normal activity of hormones. Exposure to bisphenol A as EDC at trace and ultra-trace levels is associated with adverse health effects, and children are recognized as the most vulnerable group to EDCs exposure. In this review, a summary is presented of up-to-date sample preparation methods and instrumental techniques applied for the detection and quantification of bisphenol A and its structural analogues in various biological matrices. Biological matrices such as blood, cell-free blood products, urine, saliva, breast milk, cordial blood, amniotic and semen fluids, as well as sweat and hair, are very complex; therefore, the detection and later quantification of bisphenols at low levels present a real analytical challenge. The most popular analytical approaches include gas and liquid chromatography coupled with mass spectrometry, and their enhanced reliability and sensitivity finally allow the separation and detection of bisphenols in biological samples, even as ultra-traces. Liquid/liquid extraction (LLE) and solid-phase extraction (SPE) are still the most common methods for their extraction from biological matrices. However, many modern and environmentally safe microextraction techniques are currently under development. The complexity of biological matrices and low concentrations of analytes are the main issues for the limited identification, as well as understanding the adverse health effects caused by chronical and ubiquitous exposure to bisphenols and its analogues.
Collapse
|
10
|
van Zundert SKM, Broekhuizen M, Smit AJP, van Rossem L, Mirzaian M, Willemsen SP, Danser AHJ, De Rijke YB, Reiss IKM, Merkus D, Steegers-Theunissen RPM. The Role of the Kynurenine Pathway in the (Patho) physiology of Maternal Pregnancy and Fetal Outcomes: A Systematic Review. Int J Tryptophan Res 2022; 15:11786469221135545. [PMID: 36467775 PMCID: PMC9716456 DOI: 10.1177/11786469221135545] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 10/10/2022] [Indexed: 08/04/2023] Open
Abstract
INTRODUCTION Tryptophan is the precursor of kynurenine pathway (KP) metabolites which regulate immune tolerance, energy metabolism, and vascular tone. Since these processes are important during pregnancy, changes in KP metabolite concentrations may play a role in the pathophysiology of pregnancy complications. We hypothesize that KP metabolites can serve as novel biomarkers and preventive therapeutic targets. This review aimed to provide more insight into associations between KP metabolite concentrations in maternal and fetal blood, and in the placenta, and adverse maternal pregnancy and fetal outcomes. METHODS A systematic search was performed on 18 February 2022 comprising all KP metabolites, and keywords related to maternal pregnancy and fetal outcomes. English-written human studies measuring KP metabolite(s) in maternal or fetal blood or in the placenta in relation to pregnancy complications, were included. Methodological quality was assessed using the ErasmusAGE quality score (QS) (range: 0-10). A meta-analysis of the mean maternal tryptophan and kynurenine concentrations in uncomplicated pregnancies was conducted. RESULTS Of the 6262 unique records, 37 were included (median QS = 5). Tryptophan was investigated in most studies, followed by kynurenine, predominantly in maternal blood (n = 28/37), and in the second and third trimester of pregnancy (n = 29/37). Compared to uncomplicated pregnancies, decreased tryptophan in maternal blood was associated with an increased prevalence of depression, gestational diabetes mellitus, fetal growth restriction, spontaneous abortion, and preterm birth. Elevated tryptophan was only observed in women with pregnancy-induced hypertension compared to normotensive pregnant women. In women with preeclampsia, only kynurenic acid was altered; elevated in the first trimester of pregnancy, and positively associated with proteinuria in the third trimester of pregnancy. CONCLUSIONS KP metabolite concentrations were altered in a variety of maternal pregnancy and fetal complications. This review implies that physiological pregnancy requires a tight balance of KP metabolites, and that disturbances in either direction are associated with adverse maternal pregnancy and fetal outcomes.
Collapse
Affiliation(s)
- Sofie KM van Zundert
- Department of Obstetrics and
Gynecology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Chemistry,
Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Michelle Broekhuizen
- Division of Neonatology, Department of
Pediatrics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Division of Pharmacology and Vascular
Medicine, Department of Internal Medicine, Erasmus MC University Medical Center,
Rotterdam, The Netherlands
- Division of Experimental Cardiology,
Department of Cardiology, Erasmus MC University Medical Center, Rotterdam, The
Netherlands
| | - Ashley JP Smit
- Department of Obstetrics and
Gynecology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Lenie van Rossem
- Department of Obstetrics and
Gynecology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mina Mirzaian
- Department of Clinical Chemistry,
Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Sten P Willemsen
- Department of Obstetrics and
Gynecology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Biostatistics, Erasmus MC
University Medical Center, Rotterdam, The Netherlands
| | - AH Jan Danser
- Division of Pharmacology and Vascular
Medicine, Department of Internal Medicine, Erasmus MC University Medical Center,
Rotterdam, The Netherlands
| | - Yolanda B De Rijke
- Department of Clinical Chemistry,
Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Irwin KM Reiss
- Division of Neonatology, Department of
Pediatrics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Daphne Merkus
- Division of Experimental Cardiology,
Department of Cardiology, Erasmus MC University Medical Center, Rotterdam, The
Netherlands
- Walter Brendel Center of Experimental
Medicine, University Clinic Munich, Ludwig Maximillian University Munich, Munich,
Germany
| | | |
Collapse
|
11
|
Xu J, Fang H, Chong Y, Lin L, Xie T, Ji J, Shen C, Shi C, Shan J. Cyclophosphamide Induces Lipid and Metabolite Perturbation in Amniotic Fluid during Rat Embryonic Development. Metabolites 2022; 12:1105. [PMID: 36422245 PMCID: PMC9693482 DOI: 10.3390/metabo12111105] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/09/2022] [Indexed: 08/13/2023] Open
Abstract
Cyclophosphamide (CP) has been proven to be an embryo-fetal toxic. However, the mechanism responsible for the toxicity of the teratogenic agent has not been fully explored. This study aimed to examine the teratogenicity of CP when administered in the sensitive period of pregnant rats. The effect of CP on the lipid and metabolic profiles of amniotic fluid was evaluated using a UHPLC-Q-Exactive Orbitrap MS-based method. Metabolome analysis was performed using the MS-DIAL software with LipidBlast and NIST. Initially, we identified 636 and 154 lipid compounds in the positive and negative ion modes and 118 metabolites for differential analysis. Mainly 4 types of oxidized lipids in the amniotic fluid were found to accumulate most significantly after CP treatment, including very-long-chain unsaturated fatty acids (VLCUFAs), polyunsaturated fatty acid (PUFA)-containing triglycerides (TGs), oxidized phosphatidylcholine (PC), and sphingomyelin (SM). Tryptophan and some long-chain saturated fatty acids were lowered pronouncedly after CP treatment. These findings suggest that CP may exert teratogenic toxicity on pregnant rats through maternal and fetal oxidative stress. The UHPLC-Q-Exactive Orbitrap MS-based lipidomics approach is worthy of wider application for evaluating the potential toxicity of other agents (toxicants) during embryonic development.
Collapse
Affiliation(s)
- Jianya Xu
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese Medicine, Nanjing 210023, China
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Huafeng Fang
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese Medicine, Nanjing 210023, China
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Ying Chong
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Lili Lin
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Tong Xie
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Jianjian Ji
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Cunsi Shen
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Chen Shi
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese Medicine, Nanjing 210023, China
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Jinjun Shan
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing 210023, China
| |
Collapse
|
12
|
Gupta JK, Alfirevic A. Systematic review of preterm birth multi-omic biomarker studies. Expert Rev Mol Med 2022; 24:1-24. [PMID: 35379367 PMCID: PMC9884789 DOI: 10.1017/erm.2022.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 02/16/2022] [Accepted: 03/30/2022] [Indexed: 11/07/2022]
Abstract
Preterm birth (PTB) is one of the leading causes of deaths in infants under the age of five. Known risk factors of PTB include genetic factors, lifestyle choices or infection. Identification of omic biomarkers associated with PTB could aid clinical management of women at high risk of early labour and thereby reduce neonatal morbidity. This systematic literature review aimed to identify and summarise maternal omic and multi-omic (genomics, transcriptomics, proteomics and metabolites) biomarker studies of PTB. Original research articles were retrieved from three databases: PubMed, Web of Science and Science Direct, using specified search terms for each omic discipline. PTB studies investigating genomics, transcriptomics, proteomics or metabolomics biomarkers prior to onset of labour were included. Data were collected and reviewed independently. Pathway analyses were completed on the biomarkers from non-targeted omic studies using Reactome pathway analysis tool. A total of 149 omic studies were identified; most of the literature investigated proteomic biomarkers. Pathway analysis identified several cellular processes associated with the omic biomarkers reported in the literature. Study heterogeneity was observed across the research articles, including the use of different gestation cut-offs to define PTB. Infection/inflammatory biomarkers were identified across majority of papers using a range of targeted and non-targeted approaches.
Collapse
Affiliation(s)
- Juhi K. Gupta
- Wolfson Centre for Personalised Medicine, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3GL, UK
- Harris-Wellbeing Research Centre, University Department, Liverpool Women's Hospital, Liverpool L8 7SS, UK
| | - Ana Alfirevic
- Wolfson Centre for Personalised Medicine, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3GL, UK
- Harris-Wellbeing Research Centre, University Department, Liverpool Women's Hospital, Liverpool L8 7SS, UK
| |
Collapse
|
13
|
Su AL, Harris SM, Elkin ER, Karnovsky A, Colacino JA, Loch-Caruso R. Trichloroethylene modifies energy metabolites in the amniotic fluid of Wistar rats. Reprod Toxicol 2022; 109:80-92. [PMID: 35301063 PMCID: PMC9000924 DOI: 10.1016/j.reprotox.2022.03.004] [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: 10/03/2021] [Revised: 03/05/2022] [Accepted: 03/11/2022] [Indexed: 10/18/2022]
Abstract
Exposure to trichloroethylene (TCE), an industrial solvent, is associated with several adverse pregnancy outcomes in humans and decreased fetal weight in rats. However, effects of TCE on energy metabolites in amniotic fluid, which have associations with pregnancy outcomes, has not been published previously. In the current exploratory study, timed-pregnant Wistar rats were exposed to 480 mg TCE/kg/day via vanilla wafer or to vehicle (wafer) alone from gestational day (GD) 6-16. Amniotic fluid collected on GD 16 was analyzed for metabolites important in energy metabolism using short chain fatty acid and tricarboxylic acid plus platforms (N = 4 samples/sex/treatment). TCE decreased concentrations of the following metabolites in amniotic fluid for both fetal sexes: 6-phosphogluconate, guanosine diphosphate, adenosine diphosphate, adenosine triphosphate, and flavin adenine dinucleotide. TCE decreased fructose 1,6-bisphosphate and guanosine triphosphate concentrations in amniotic fluid of male but not female fetuses. Moreover, TCE decreased uridine diphosphate-D-glucuronate concentrations, and increased arginine and phosphocreatine concentrations, in amniotic fluid of female fetuses only. No metabolites were increased in amniotic fluid of male fetuses. Pathway analysis suggested that TCE altered folate biosynthesis and pentose phosphate pathway in both sexes. Using metabolite ratios to investigate changes within specific pathways, some ratio alterations, including those in arginine metabolism and phenylalanine metabolism, were detected in females only. Ratio analysis also suggested enzymes, including gluconokinase, as potential TCE targets. Together, results from this exploratory study suggest that TCE differentially modified energy metabolites in amniotic fluid based on sex. These findings may inform future studies of TCE reproductive toxicity.
Collapse
Affiliation(s)
- Anthony L Su
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Sean M Harris
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Elana R Elkin
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Alla Karnovsky
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Palmer Commons, 100 Washtenaw Ave #2017, Ann Arbor, MI 48109, USA.
| | - Justin A Colacino
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA; Department of Nutritional Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Rita Loch-Caruso
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| |
Collapse
|
14
|
Chen Y, He B, Liu Y, Aung MT, Rosario-Pabón Z, Vélez-Vega CM, Alshawabkeh A, Cordero JF, Meeker JD, Garmire LX. Maternal plasma lipids are involved in the pathogenesis of preterm birth. Gigascience 2022; 11:giac004. [PMID: 35166340 PMCID: PMC8847704 DOI: 10.1093/gigascience/giac004] [Citation(s) in RCA: 8] [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: 07/12/2021] [Revised: 11/20/2021] [Accepted: 01/12/2022] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Preterm birth is defined by the onset of labor at a gestational age shorter than 37 weeks, and it can lead to premature birth and impose a threat to newborns' health. The Puerto Rico PROTECT cohort is a well-characterized prospective birth cohort that was designed to investigate environmental and social contributors to preterm birth in Puerto Rico, where preterm birth rates have been elevated in recent decades. To elucidate possible relationships between metabolites and preterm birth in this cohort, we conducted a nested case-control study to conduct untargeted metabolomic characterization of maternal plasma of 31 women who experienced preterm birth and 69 controls who underwent full-term labor at 24-28 gestational weeks. RESULTS A total of 333 metabolites were identified and annotated with liquid chromatography/mass spectrometry. Subsequent weighted gene correlation network analysis shows that the fatty acid and carene-enriched module has a significant positive association (P = 8e-04, FDR = 0.006) with preterm birth. After controlling for potential clinical confounders, a total of 38 metabolites demonstrated significant changes uniquely associated with preterm birth, where 17 of them were preterm biomarkers. Among 7 machine-learning classifiers, the application of random forest achieved a highly accurate and specific prediction (AUC = 0.92) for preterm birth in testing data, demonstrating their strong potential as biomarkers for preterm births. The 17 preterm biomarkers are involved in cell signaling, lipid metabolism, and lipid peroxidation functions. Additional modeling using only the 19 spontaneous preterm births (sPTB) and controls identifies 16 sPTB markers, with an AUC of 0.89 in testing data. Half of the sPTB overlap with those markers for preterm births. Further causality analysis infers that suberic acid upregulates several fatty acids to promote preterm birth. CONCLUSIONS Altogether, this study demonstrates the involvement of lipids, particularly fatty acids, in the pathogenesis of preterm birth.
Collapse
Affiliation(s)
- Yile Chen
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA
| | - Bing He
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA
| | - Yu Liu
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA
| | - Max T Aung
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, School of Medicine, San Francisco, CA 94158, USA
| | - Zaira Rosario-Pabón
- University of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico 365067, Spain
| | - Carmen M Vélez-Vega
- University of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico 365067, Spain
| | - Akram Alshawabkeh
- College of Engineering, Northeastern University, Boston, MA 02115, USA
| | - José F Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA 30602, USA
| | - John D Meeker
- Department of Environmental and Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Lana X Garmire
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA
| |
Collapse
|
15
|
Huang W, Ural S, Zhu Y. Preterm labor tests: current status and future directions. Crit Rev Clin Lab Sci 2022; 59:278-296. [DOI: 10.1080/10408363.2022.2027864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Wei Huang
- Department of Pathology and Laboratory Medicine, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Serdar Ural
- Department of Obstetrics and Gynecology, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Yusheng Zhu
- Department of Pathology and Laboratory Medicine, Pennsylvania State University College of Medicine, Hershey, PA, USA
| |
Collapse
|
16
|
Gupta J, Care A, Goodfellow L, Alfirevic Z, Lian LY, Müller-Myhsok B, Alfirevic A, Phelan M. Metabolic profiling of maternal serum of women at high-risk of spontaneous preterm birth using NMR and MGWAS approach. Biosci Rep 2021; 41:BSR20210759. [PMID: 34402867 PMCID: PMC8415214 DOI: 10.1042/bsr20210759] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/28/2021] [Accepted: 08/17/2021] [Indexed: 12/26/2022] Open
Abstract
Preterm birth (PTB) is a leading global cause of infant mortality. Risk factors include genetics, lifestyle choices and infection. Understanding the mechanism of PTB could aid the development of novel approaches to prevent PTB. This study aimed to investigate the metabolic biomarkers of PTB in early pregnancy and the association of significant metabolites with participant genotypes. Maternal sera collected at 16 and 20 weeks of gestation, from women who previously experienced PTB (high-risk) and women who did not (low-risk controls), were analysed using 1H nuclear magnetic resonance (NMR) metabolomics and genome-wide screening microarray. ANOVA and probabilistic neural network (PNN) modelling were performed on the spectral bins. Metabolomics genome-wide association (MGWAS) of the spectral bins and genotype data from the same participants was applied to determine potential metabolite-gene pathways. Phenylalanine, acetate and lactate metabolite differences between PTB cases and controls were obtained by ANOVA and PNN showed strong prediction at week 20 (AUC = 0.89). MGWAS identified several metabolite bins with strong genetic associations. Cis-eQTL analysis highlighted TRAF1 (involved in the inflammatory pathway) local to a non-coding SNP associated with lactate at week 20 of gestation. MGWAS of a well-defined cohort of participants highlighted a lactate-TRAF1 relationship that could potentially contribute to PTB.
Collapse
Affiliation(s)
- Juhi K. Gupta
- Wolfson Centre for Personalised Medicine, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3GL, UK
- Harris-Wellbeing Research Centre, University Department, Liverpool Women’s Hospital, Liverpool, L8 7SS, UK
| | - Angharad Care
- Harris-Wellbeing Research Centre, University Department, Liverpool Women’s Hospital, Liverpool, L8 7SS, UK
| | - Laura Goodfellow
- Harris-Wellbeing Research Centre, University Department, Liverpool Women’s Hospital, Liverpool, L8 7SS, UK
| | - Zarko Alfirevic
- Harris-Wellbeing Research Centre, University Department, Liverpool Women’s Hospital, Liverpool, L8 7SS, UK
| | - Lu-Yun Lian
- NMR Centre for Structural Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Bertram Müller-Myhsok
- Wolfson Centre for Personalised Medicine, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3GL, UK
- Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Ana Alfirevic
- Wolfson Centre for Personalised Medicine, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3GL, UK
- Harris-Wellbeing Research Centre, University Department, Liverpool Women’s Hospital, Liverpool, L8 7SS, UK
| | - Marie M. Phelan
- NMR Centre for Structural Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| |
Collapse
|
17
|
Bourdin-Pintueles A, Galineau L, Nadal-Desbarats L, Dupuy C, Bodard S, Busson J, Lefèvre A, Emond P, Mavel S. Maternal Rat Metabolomics: Amniotic Fluid and Placental Metabolic Profiling Workflows. J Proteome Res 2021; 20:3853-3864. [PMID: 34282913 DOI: 10.1021/acs.jproteome.1c00145] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Studying the metabolome of specific gestational compartments is of growing interest in the context of fetus developmental disorders. However, the metabolomes of the placenta and amniotic fluid (AF) are poorly characterized. Therefore, we present the validation of a fingerprinting methodology. Using pregnant rats, we performed exhaustive and robust extractions of metabolites in the AF and lipids and more polar metabolites in the placenta. For the AF, we compared the extraction capabilities of methanol (MeOH), acetonitrile (ACN), and a mixture of both. For the placenta, we compared (i) the extraction capabilities of dichloromethane, methyl t-butyl ether (MTBE), and butanol, along with (ii) the impact of lyophilization of the placental tissue. Analyses were performed on a C18 and hydrophilic interaction liquid chromatography combined with high-resolution mass spectrometry. The efficiency and the robustness of the extractions were compared based on the number of the features or metabolites (for untargeted or targeted approach, respectively), their mean total intensity, and their coefficient of variation (% CV). The extraction capabilities of MeOH and ACN on the AF metabolome were equivalent. Lyophilization also had no significant impact and usefulness on the placental tissue metabolome profiling. Considering the placental lipidome, MTBE extraction was more informative because it allowed extraction of a slightly higher number of lipids, in higher concentration. This proof-of-concept study assessing the metabolomics and lipidomics of the AF and the placenta revealed changes in both metabolisms, at two different stages of rat gestation, and allowed a detailed prenatal metabolic fingerprinting.
Collapse
Affiliation(s)
| | - Laurent Galineau
- UMR 1253 iBrain, Université de Tours, Inserm, Tours 37000, France
| | | | - Camille Dupuy
- UMR 1253 iBrain, Université de Tours, Inserm, Tours 37000, France
| | - Sylvie Bodard
- UMR 1253 iBrain, Université de Tours, Inserm, Tours 37000, France
| | - Julie Busson
- UMR 1253 iBrain, Université de Tours, Inserm, Tours 37000, France
| | - Antoine Lefèvre
- UMR 1253 iBrain, Université de Tours, Inserm, Tours 37000, France
| | - Patrick Emond
- UMR 1253 iBrain, Université de Tours, Inserm, Tours 37000, France.,CHRU de Tours, Service de Médecine Nucléaire In Vitro, Tours 37000, France
| | - Sylvie Mavel
- UMR 1253 iBrain, Université de Tours, Inserm, Tours 37000, France
| |
Collapse
|
18
|
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.
Collapse
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
| |
Collapse
|
19
|
Metabolites from midtrimester plasma of pregnant patients at high risk for preterm birth. Am J Obstet Gynecol MFM 2021; 3:100393. [PMID: 33991707 DOI: 10.1016/j.ajogmf.2021.100393] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 04/26/2021] [Accepted: 05/03/2021] [Indexed: 01/21/2023]
Abstract
BACKGROUND There is an increased awareness regarding the association between exposure to environmental contaminants and adverse pregnancy outcomes including preterm birth. Whether an individual's metabolic profile can be utilized during pregnancy to differentiate the subset of patients who are ultimately destined to delivered preterm remains uncertain but could have MEANINGFUL clinical implications. OBJECTIVE We sought to objectively quantify metabolomic profiles of patients at high risk of preterm birth by evaluating midtrimester maternal plasma and to measure whether endogenous metabolites and exogenous environmental substances differ among those who ultimately deliver preterm compared with those who deliver at term. STUDY DESIGN This was a case-control analysis from a prospective cohort of patients carrying a singleton, nonanomalous gestation who were at high risk of spontaneous preterm birth. Subjects with a plasma blood sample drawn at <28 weeks' gestation and no evidence of preterm labor at the time of enrollment were included. Metabolites were extracted from frozen samples, and metabolomic analysis was performed using liquid chromatography/mass spectrometry. The primary outcome was preterm birth at 16.0 to 36.9 weeks' gestation. RESULTS A total of 42 patients met the inclusion criteria. Of these, 25 (59.5%) delivered preterm at <37 weeks' gestation, at a median of 30.14 weeks' gestation (interquartile range, 28.14-34.14). A total of 812 molecular features differed between preterm birth cases and term controls with a minimum fold change of 1.2 and P<.05. Of these, 570 of 812 (70.1%) were found in higher abundances in preterm birth cases; the other 242 of 812 (29.9%) were in higher abundance in term birth controls. The identity of the small molecule/compound represented by the molecular features differing statistically between preterm birth cases and term controls was identified as ranging from those involved with endogenous metabolic pathways (including lipid catabolism, steroids, and steroid-related molecules) to exogenous exposures (including avocadyne, diosgenin, polycyclic aromatic hydrocarbons, acetaminophen metabolites, aspartame, and caffeine). Random forest analyses evaluating the relative contribution of each of the top 30 compounds in differentiating preterm birth and term controls accurately classified 21 of 25 preterm birth cases (84%). CONCLUSION Both endogenous metabolites and exogenous exposures differ in maternal plasma in the midtrimester among patients who ultimately delivered preterm compared with those who deliver at term.
Collapse
|
20
|
Sylvester KG, Hao S, You J, Zheng L, Tian L, Yao X, Mo L, Ladella S, Wong RJ, Shaw GM, Stevenson DK, Cohen HJ, Whitin JC, McElhinney DB, Ling XB. Maternal metabolic profiling to assess fetal gestational age and predict preterm delivery: a two-centre retrospective cohort study in the US. BMJ Open 2020; 10:e040647. [PMID: 33268420 PMCID: PMC7713207 DOI: 10.1136/bmjopen-2020-040647] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVES The aim of this study was to develop a single blood test that could determine gestational age and estimate the risk of preterm birth by measuring serum metabolites. We hypothesised that serial metabolic modelling of serum analytes throughout pregnancy could be used to describe fetal gestational age and project preterm birth with a high degree of precision. STUDY DESIGN A retrospective cohort study. SETTING Two medical centres from the USA. PARTICIPANTS Thirty-six patients (20 full-term, 16 preterm) enrolled at Stanford University were used to develop gestational age and preterm birth risk algorithms, 22 patients (9 full-term, 13 preterm) enrolled at the University of Alabama were used to validate the algorithms. OUTCOME MEASURES Maternal blood was collected serially throughout pregnancy. Metabolic datasets were generated using mass spectrometry. RESULTS A model to determine gestational age was developed (R2=0.98) and validated (R2=0.81). 66.7% of the estimates fell within ±1 week of ultrasound results during model validation. Significant disruptions from full-term pregnancy metabolic patterns were observed in preterm pregnancies (R2=-0.68). A separate algorithm to predict preterm birth was developed using a set of 10 metabolic pathways that resulted in an area under the curve of 0.96 and 0.92, a sensitivity of 0.88 and 0.86, and a specificity of 0.96 and 0.92 during development and validation testing, respectively. CONCLUSIONS In this study, metabolic profiling was used to develop and test a model for determining gestational age during full-term pregnancy progression, and to determine risk of preterm birth. With additional patient validation studies, these algorithms may be used to identify at-risk pregnancies prompting alterations in clinical care, and to gain biological insights into the pathophysiology of preterm birth. Metabolic pathway-based pregnancy modelling is a novel modality for investigation and clinical application development.
Collapse
Affiliation(s)
- Karl G Sylvester
- Department of Surgery, Stanford University School of Medicine, Stanford, California, USA
| | - Shiying Hao
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California, USA
- Clinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Palo Alto, California, USA
| | - Jin You
- Department of Surgery, Stanford University School of Medicine, Stanford, California, USA
| | - Le Zheng
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California, USA
- Clinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Palo Alto, California, USA
| | - Lu Tian
- Department of Health Research and Policy, Stanford University, Stanford, California, USA
| | - Xiaoming Yao
- Translational Medicine Laboratory, West China Hospital, Chengdu, China
| | - Lihong Mo
- Department of Obstetrics and Gynecology, University of California San Francisco-Fresno, Fresno, California, USA
| | - Subhashini Ladella
- Department of Obstetrics and Gynecology, University of California San Francisco-Fresno, Fresno, California, USA
| | - Ronald J Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - David K Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Harvey J Cohen
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - John C Whitin
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Doff B McElhinney
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California, USA
- Clinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Palo Alto, California, USA
| | - Xuefeng B Ling
- Department of Surgery, Stanford University School of Medicine, Stanford, California, USA
- Clinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Palo Alto, California, USA
| |
Collapse
|
21
|
Bartho LA, Fisher JJ, Cuffe JSM, Perkins AV. Mitochondrial transformations in the aging human placenta. Am J Physiol Endocrinol Metab 2020; 319:E981-E994. [PMID: 32954826 DOI: 10.1152/ajpendo.00354.2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Mitochondria play a key role in homeostasis and are central to one of the leading hypotheses of aging, the free radical theory. Mitochondria function as a reticulated network, constantly adapting to the cellular environment through fusion (joining), biogenesis (formation of new mitochondria), and fission (separation). This adaptive response is particularly important in response to oxidative stress, cellular damage, and aging, when mitochondria are selectively removed through mitophagy, a mitochondrial equivalent of autophagy. During this complex process, mitochondria influence surrounding cell biology and organelles through the release of signaling molecules. Given that the human placenta is a unique organ having a transient and somewhat defined life span of ∼280 days, any adaption or dysfunction associated with mitochondrial physiology as a result of aging will have a dramatic impact on the health and function of both the placenta and the fetus. Additionally, a defective placenta during gestation, resulting in reduced fetal growth, has been shown to influence the development of chronic disease in later life. In this review we focus on the mitochondrial adaptions and transformations that accompany gestational length and share similarities with age-related diseases. In addition, we discuss the role of such changes in regulating placental function throughout gestation, the etiology of gestational complications, and the development of chronic diseases later in life.
Collapse
Affiliation(s)
- Lucy A Bartho
- School of Medical Science, Griffith University Gold Coast Campus, Southport, Queensland, Australia
| | - Joshua J Fisher
- Hunter Medical Research Institute and School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - James S M Cuffe
- School of Biomedical Sciences, University of Queensland, St. Lucia, Queensland, Australia
| | - Anthony V Perkins
- School of Medical Science, Griffith University Gold Coast Campus, Southport, Queensland, Australia
| |
Collapse
|
22
|
Hong X, Zhang B, Liang L, Zhang Y, Ji Y, Wang G, Ji H, Clish CB, Burd I, Pearson C, Zuckerman B, Hu FB, Wang X. Postpartum plasma metabolomic profile among women with preeclampsia and preterm delivery: implications for long-term health. BMC Med 2020; 18:277. [PMID: 33046083 PMCID: PMC7552364 DOI: 10.1186/s12916-020-01741-4] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 08/10/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Preeclampsia and preterm delivery (PTD) are believed to affect women's long-term health including cardiovascular disease (CVD), but the biological underpinnings are largely unknown. We aimed to test whether maternal postpartum metabolomic profiles, especially CVD-related metabolites, varied according to PTD subtypes with and without preeclampsia, in a US urban, low-income multi-ethnic population. METHODS This study, from the Boston Birth Cohort, included 980 women with term delivery, 79 with medically indicated PTD (mPTD) and preeclampsia, 52 with mPTD only, and 219 with spontaneous PTD (sPTD). Metabolomic profiling in postpartum plasma was conducted by liquid chromatography-mass spectrometry. Linear regression models were used to assess the associations of each metabolite with mPTD with preeclampsia, mPTD only, and sPTD, respectively, adjusting for pertinent covariates. Weighted gene coexpression network analysis was applied to investigate interconnected metabolites associated with the PTD/preeclampsia subgroups. Bonferroni correction was applied to account for multiple testing. RESULTS A total of 380 known metabolites were analyzed. Compared to term controls, women with mPTD and preeclampsia showed a significant increase in 36 metabolites, mainly representing acylcarnitines and multiple classes of lipids (diacylglycerols, triacylglycerols, phosphocholines, and lysophosphocholines), as well as a decrease in 11 metabolites including nucleotides, steroids, and cholesteryl esters (CEs) (P < 1.3 × 10-4). Alterations of diacylglycerols, triacylglycerols, and CEs in women with mPTD and preeclampsia remained significant when compared to women with mPTD only. In contrast, the metabolite differences between women with mPTD only and term controls were only seen in phosphatidylethanolamine class. Women with sPTD had significantly different levels of 16 metabolites mainly in amino acid, nucleotide, and steroid classes compared to term controls, of which, anthranilic acid, bilirubin, and steroids also had shared associations in women with mPTD and preeclampsia. CONCLUSION In this sample of US high-risk women, PTD/preeclampsia subgroups each showed some unique and shared associations with maternal postpartum plasma metabolites, including those known to be predictors of future CVD. These findings, if validated, may provide new insight into metabolomic alterations underlying clinically observed PTD/preeclampsia subgroups and implications for women's future cardiometabolic health.
Collapse
Affiliation(s)
- Xiumei Hong
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205-2179, USA.
| | - Boyang Zhang
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Zhang
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205, USA
| | - Yuelong Ji
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205-2179, USA
| | - Guoying Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205-2179, USA
| | - Hongkai Ji
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | - Irina Burd
- Integrated Research Center for Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Colleen Pearson
- Department of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, MA, 02118, USA
| | - Barry Zuckerman
- Department of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, MA, 02118, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205-2179, USA.,Division of General Pediatrics & Adolescent Medicine, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| |
Collapse
|
23
|
Hallingström M, Barman M, Savolainen O, Viklund F, Kacerovsky M, Brunius C, Jacobsson B. Metabolomic profiles of mid-trimester amniotic fluid are not associated with subsequent spontaneous preterm delivery or gestational duration at delivery. J Matern Fetal Neonatal Med 2020; 35:2054-2062. [PMID: 32543931 DOI: 10.1080/14767058.2020.1777271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Spontaneous preterm delivery (<37 gestational weeks) has a multifactorial etiology with still incompletely identified pathways. Amniotic fluid is a biofluid with great potential for insights into the feto-maternal milieu. It is rich in metabolites, and metabolic consequences of inflammation is yet researched only to a limited extent. Metabolomic profiling provides opportunities to identify potential biomarkers of inflammatory conditioned pregnancy complications such as spontaneous preterm delivery. OBJECTIVE The aim of this study was to perform metabolomic profiling of amniotic fluid from uncomplicated singleton pregnancies in the mid-trimester to identify potential biomarkers associated with spontaneous preterm delivery and gestational duration at delivery. A secondary aim was to replicate previously reported mid-trimester amniotic fluid metabolic biomarkers of spontaneous preterm delivery in asymptomatic women. METHOD A nested case-control study was performed within a larger cohort study of asymptomatic pregnant women undergoing mid-trimester genetic amniocentesis at 14-19 gestational weeks in Gothenburg, Sweden. Medical records were used to obtain clinical data and delivery outcome variables. Amniotic fluid samples from women with a subsequent spontaneous preterm delivery (n = 37) were matched with amniotic fluid samples from women with a subsequent spontaneous delivery at term (n = 37). Amniotic fluid samples underwent untargeted metabolomic analyses using liquid chromatography-mass spectrometry. Multivariate random forest analyses were used for data processing. A secondary targeted analysis was performed, aiming to replicate previously reported mid-trimester amniotic fluid metabolic biomarkers in women with a subsequent spontaneous preterm delivery. RESULTS Multivariate analysis did not distinguish the samples from women with a subsequent spontaneous preterm delivery from those with a subsequent term delivery. Neither was the metabolic profile associated with gestational duration at delivery. Potential metabolic biomarker candidates were identified from four publications by two different research groups relating mid-trimester amniotic fluid metabolomes to spontaneous PTD, of which fifteen markers were included in the secondary analysis. None of these were replicated. CONCLUSIONS Metabolomic profiles of early mid-trimester amniotic fluid were not associated with spontaneous preterm delivery or gestational duration at delivery in this cohort.
Collapse
Affiliation(s)
- Maria Hallingström
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden.,Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Malin Barman
- Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Otto Savolainen
- Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Felicia Viklund
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden.,Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Marian Kacerovsky
- Biomedical Research Center, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic.,Department of Obstetrics and Gynecology, Faculty of Medicine in Hradec Kralove, University Hospital Hradec Kralove, Charles University, Hradec Kralove, Czech Republic
| | - Carl Brunius
- Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden.,Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.,Division of Health Data and Digitalisation, Department of Genetics and Bioinformatics, Institute of Public Health, Oslo, Norway
| |
Collapse
|
24
|
Beachler TM, Gracz HS, Morgan DR, Bembenek Bailey SA, Borst L, Ellis KE, Von Dollen KA, Lyle SK, Nebel A, Andrews NC, Koipalli J, Gadsby JE, Bailey CS. Plasma metabolomic profiling of healthy pregnant mares and mares with experimentally induced placentitis. Equine Vet J 2020; 53:85-93. [PMID: 32187705 DOI: 10.1111/evj.13262] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 02/21/2020] [Accepted: 03/14/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND Metabolomics may represent an avenue for diagnosis of equine ascending placentitis. OBJECTIVES To characterise the plasma metabolomic profile in healthy mares and mares with induced ascending placentitis, with the goal of identifying metabolites with potential clinical value for early diagnosis of placentitis. STUDY DESIGN Controlled in vivo experiment. METHODS Placentitis was induced in 10 late-term pregnant pony mares via Streptococcal equi subsp. zooepidemicus inoculation in five mares between days 285 and 290 of gestation, while five mares served as healthy controls. Repeated ultrasound examinations and jugular venipuncture were performed to obtain combined thickness of the uterus and placenta (CTUP) and plasma for NMR spectroscopy. Mares with increased CTUP were diagnosed with placentitis and treated in accordance with published therapeutic recommendations. NMR metabolomic analysis was performed to identify and quantify plasma metabolites at each time point. Concentrations were compared using ANOVA with repeated-measures and PLS-DA analysis. RESULTS Four hours post-inoculation, a significant increase was detected in the metabolites alanine, phenylalanine, histidine, pyruvate, citrate, glucose, creatine, glycolate, lactate and 3-hydroxyisobutyrate that returned to baseline by 12 hours. On day 4, a significant reduction in the metabolites alanine, phenylalanine, histidine, tyrosine, pyruvate, citrate, glycolate, lactate and dimethylsulfone was seen in infected mares compared with controls. MAIN LIMITATIONS There were small numbers of mares within groups. In addition, this work compares healthy animals with animals treated with multimodal therapeutics following diagnosis of placentitis without an untreated cohort. CONCLUSIONS Two phases of metabolite changes were noted after experimental infection: An immediate rise in metabolite concentration involved in energy, nitrogen, hydrogen and oxygen metabolism within 4 hours after inoculation that was followed by a decrease in metabolite concentrations involved in energy and nitrogen metabolism at 4 days, coinciding with ultrasonographic diagnosis of placentitis.
Collapse
Affiliation(s)
- Theresa M Beachler
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Hanna S Gracz
- Department of Biochemistry, North Carolina State University, Raleigh, NC, USA
| | - David R Morgan
- Department of Biochemistry, North Carolina State University, Raleigh, NC, USA
| | | | - Luke Borst
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Katey E Ellis
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Karen A Von Dollen
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Sara K Lyle
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Amber Nebel
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Natalie C Andrews
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Joanna Koipalli
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - John E Gadsby
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Christopher S Bailey
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| |
Collapse
|
25
|
Carlson NS, Frediani JK, Corwin EJ, Dunlop A, Jones D. Metabolomic Pathways Predicting Labor Dystocia by Maternal Body Mass Index. AJP Rep 2020; 10:e68-e77. [PMID: 32140295 PMCID: PMC7056397 DOI: 10.1055/s-0040-1702928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 12/20/2019] [Indexed: 11/25/2022] Open
Abstract
Objectives The purpose of this study was to evaluate the metabolic pathways activated in the serum of African-American women during late pregnancy that predicted term labor dystocia. Study Design Matched case-control study ( n = 97; 48 cases of term labor dystocia and 49 normal labor progression controls) with selection based on body mass index (BMI) at hospital admission and maternal age. Late pregnancy serum samples were analyzed using ultra-high-resolution metabolomics. Differentially expressed metabolic features and pathways between cases experiencing term labor dystocia and normal labor controls were evaluated in the total sample, among women who were obese at the time of labor (BMI ≥ 30 kg/m2), and among women who were not obese. Results Labor dystocia was predicted by different metabolic pathways in late pregnancy serum among obese (androgen/estrogen biosynthesis) versus nonobese African-American women (fatty acid activation, steroid hormone biosynthesis, bile acid biosynthesis, glycosphingolipid metabolism). After adjusting for maternal BMI and age in the total sample, labor dystocia was predicted by tryptophan metabolic pathways in addition to C21 steroid hormone, glycosphingolipid, and androgen/estrogen metabolism. Conclusion Metabolic pathways consistent with lipotoxicity, steroid hormone production, and tryptophan metabolism in late pregnancy serum were significantly associated with term labor dystocia in African-American women.
Collapse
Affiliation(s)
- Nicole S. Carlson
- Emory University Nell Hodgson Woodruff School of Nursing, Atlanta, Georgia
| | | | - Elizabeth J. Corwin
- Department of Physiology, Columbia University School of Nursing, New York, New York
| | - Anne Dunlop
- Departments of Family and Preventive Medicine, Epidemiology, and Nursing, Emory University, Atlanta, Georgia
| | - Dean Jones
- Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, Emory University, Atlanta, Georgia
| |
Collapse
|
26
|
Handelman SK, Romero R, Tarca AL, Pacora P, Ingram B, Maymon E, Chaiworapongsa T, Hassan SS, Erez O. The plasma metabolome of women in early pregnancy differs from that of non-pregnant women. PLoS One 2019; 14:e0224682. [PMID: 31726468 PMCID: PMC6855901 DOI: 10.1371/journal.pone.0224682] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 10/18/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND In comparison to the non-pregnant state, the first trimester of pregnancy is characterized by systemic adaptation of the mother. The extent to which these adaptive processes are reflected in the maternal blood metabolome is not well characterized. OBJECTIVE To determine the differences between the plasma metabolome of non-pregnant and pregnant women before 16 weeks gestation. STUDY DESIGN This study included plasma samples from 21 non-pregnant women and 50 women with a normal pregnancy (8-16 weeks of gestation). Combined measurements by ultrahigh performance liquid chromatography/tandem mass spectrometry and by gas chromatography/mass spectrometry generated molecular abundance measurements for each sample. Molecular species detected in at least 10 samples were included in the analysis. Differential abundance was inferred based on false discovery adjusted p-values (FDR) from Mann-Whitney-Wilcoxon U tests <0.1 and a minimum median abundance ratio (fold change) of 1.5. Alternatively, metabolic data were quantile normalized to remove sample-to-sample differences in the overall metabolite abundance (adjusted analysis). RESULTS Overall, 637 small molecules met the inclusion criteria and were tested for association with pregnancy; 44% (281/637) of small molecules had significantly different abundance, of which 81% (229/281) were less abundant in pregnant than in non-pregnant women. Eight percent (14/169) of the metabolites that remained significant in the adjusted analysis also changed as a function of gestational age. A pathway analysis revealed enrichment in steroid metabolites related to sex hormones, caffeine metabolites, lysolipids, dipeptides, and polypeptide bradykinin derivatives (all, FDR < 0.1). CONCLUSIONS This high-throughput mass spectrometry study identified: 1) differences between pregnant vs. non-pregnant women in the abundance of 44% of the profiled plasma metabolites, including known and novel molecules and pathways; and 2) specific metabolites that changed with gestational age.
Collapse
Affiliation(s)
- Samuel K. Handelman
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Roberto Romero
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, United States of America
- Detroit Medical Center, Detroit, Michigan, United States of America
| | - Adi L. Tarca
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Computer Science, Wayne State University College of Engineering, Detroit, Michigan, United States of America
| | - Percy Pacora
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Brian Ingram
- Metabolon Inc., Raleigh-Durham, North Carolina, United States of America
| | - Eli Maymon
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Soroka University Medical Center, School of Medicine, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Tinnakorn Chaiworapongsa
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Sonia S. Hassan
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Physiology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Offer Erez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Maternity Department "D," Division of Obstetrics and Gynecology, Soroka University Medical Center, School of Medicine, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer-Sheva, Israel
| |
Collapse
|
27
|
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.
Collapse
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
| |
Collapse
|
28
|
Carter RA, Pan K, Harville EW, McRitchie S, Sumner S. Metabolomics to reveal biomarkers and pathways of preterm birth: a systematic review and epidemiologic perspective. Metabolomics 2019; 15:124. [PMID: 31506796 PMCID: PMC7805080 DOI: 10.1007/s11306-019-1587-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Accepted: 09/03/2019] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Most known risk factors for preterm birth, a leading cause of infant morbidity and mortality, are not modifiable. Advanced molecular techniques are increasingly being applied to identify biomarkers and pathways important in disease development and progression. OBJECTIVES We review the state of the literature and assess it from an epidemiologic perspective. METHODS PubMed, Embase, CINAHL, and Cochrane Central were searched on January 31, 2019 for original articles published after 1998 that utilized an untargeted metabolomic approach to identify markers of preterm birth. Eligible manuscripts were peer-reviewed and included original data from untargeted metabolomics analyses of maternal tissue derived from human studies designed to determine mechanisms and predictors of preterm birth. RESULTS Of 2823 results, 14 articles met the inclusion requirements. There was little consistency in study design, outcome definition, type of biospecimen, or the inclusion of covariates and confounding factors, and few consistent associations with metabolites were identified in this review. CONCLUSION Studies to date on metabolomic predictors of preterm birth are highly heterogeneous in both methodology and resulting metabolite identification. There is an urgent need for larger studies in well-defined populations, to determine biomarkers predictive of preterm birth, and to reveal mechanisms and targets for development of intervention strategies.
Collapse
Affiliation(s)
- R A Carter
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, 1440 Canal Street, New Orleans, LA, 70112, USA
| | - K Pan
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, 1440 Canal Street, New Orleans, LA, 70112, USA.
| | - E W Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, 1440 Canal Street, New Orleans, LA, 70112, USA
| | - S McRitchie
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, 500 Laureate Way, Kannapolis, NC, 28081, USA
| | - S Sumner
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, 500 Laureate Way, Kannapolis, NC, 28081, USA
| |
Collapse
|
29
|
Liu QT, Zhong XY. [Application of metabolomics in neonatal clinical practice]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2019; 21:942-948. [PMID: 31506158 PMCID: PMC7390243 DOI: 10.7499/j.issn.1008-8830.2019.09.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 07/08/2019] [Indexed: 06/10/2023]
Abstract
Metabolomics is an emerging and popular subject in the post-genome era, and a large number of studies have been noted on the application of metabolomics in health evaluation, growth and development evaluation, disease diagnosis, and therapeutic efficacy evaluation. As a special period of life, the neonatal period is characterized by rapid cell renewing, consumption of a lot of energy and materials, and changes in metabolic pathways, all of which affect the level of metabolites. However, there is still no reference standard for metabolic level and profile in neonates. This article reviews the current status of metabolic research on neonatal growth and development and common diseases and related clinical application of metabolomics, so as to provide new ideas for nutrition guidance and evaluation, selection of therapeutic regimens, and new drug research in neonates.
Collapse
Affiliation(s)
- Qiu-Tong Liu
- Department of Neonatology, Chongqing Health Center for Children and Women, Chongqing 400000, China.
| | | |
Collapse
|
30
|
Bardanzellu F, Fanos V. The choice of amniotic fluid in metabolomics for the monitoring of fetus health - update. Expert Rev Proteomics 2019; 16:487-499. [PMID: 31055975 DOI: 10.1080/14789450.2019.1615892] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Introduction: In recent years, several studies have highlighted the promising role of metabolomics in the analysis of amniotic fluid (AF), to describe and characterize the interactions occurring between the mother and the fetus during prenatal development. Among the available biological fluids, AF represents an ideal substrate to provide dynamic information regarding fetal organogenesis and metabolism through pregnancy, since it originates from both maternal and fetal tissues and contains substances derived from placenta, fetal skin, lungs, gastric fluid, and fetal urine. Areas covered: In this paper, we provide an update reporting the most recent results on AF metabolomics in the assessment of feto-maternal health, regarding physiological pregnancies but even fields such as prematurity, bronchopulmonary dysplasia, fetal malformations, chromosomopathies, maternal diseases, placental inflammation or infections, maternal diet or exposure to exogenous substances, according to the literature found on MEDLINE since 2015. Expert opinion: Metabolomics shows a promising role in describing both physiology and disease; the goal would be the identification of biomarkers able to precociously and efficaciously detect pathological conditions, allowing the identification of complicated pregnancy and improving their management. However, this field is under development and its reliability still needs to be clarified, especially through more numerous and accurate studies.
Collapse
Affiliation(s)
- Flaminia Bardanzellu
- a Neonatal Intensive Care Unit , AOU and University of Cagliari , Monserrato , Italy
| | - Vassilios Fanos
- a Neonatal Intensive Care Unit , AOU and University of Cagliari , Monserrato , Italy
| |
Collapse
|
31
|
Birchenall KA, Welsh GI, López Bernal A. Metabolite Changes in Maternal and Fetal Plasma Following Spontaneous Labour at Term in Humans Using Untargeted Metabolomics Analysis: A Pilot Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16091527. [PMID: 31052173 PMCID: PMC6539865 DOI: 10.3390/ijerph16091527] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 04/26/2019] [Accepted: 04/27/2019] [Indexed: 12/12/2022]
Abstract
The mechanism of human labour remains poorly understood, limiting our ability to manage complications of parturition such as preterm labour and induction of labour. In this study we have investigated the effect of labour on plasma metabolites immediately following delivery, comparing cord and maternal plasma taken from women who laboured spontaneously and delivered vaginally with women who were delivered via elective caesarean section and did not labour. Samples were analysed using ultra high-performance liquid chromatography-tandem mass spectrometry. Welch’s two-sample t-test was used to identify any significant differences. Of 826 metabolites measured, 26.9% (222/826) were significantly altered in maternal plasma and 21.1% (174/826) in cord plasma. Labour involves changes in many maternal organs and poses acute metabolic demands in the uterus and in the fetus and these are reflected in our results. While a proportion of these differences are likely to be secondary to the physiological demands of labour itself, these results present a comprehensive picture of the metabolome in the maternal and fetal circulations at the time of delivery and can be used to guide future studies. We discuss potential causal pathways for labour including endocannabinoids, ceramides, sphingolipids and steroids. Further work is necessary to confirm the specific pathways involved in the spontaneous onset of labour.
Collapse
Affiliation(s)
- Katherine A Birchenall
- Department of Obstetrics and Gynaecology, St Michael's Hospital, Bristol BS2 8EG, UK.
- Translational Health Sciences, University of Bristol, Bristol BS1 3NY, UK.
| | - Gavin I Welsh
- Translational Health Sciences, University of Bristol, Bristol BS1 3NY, UK.
| | - Andrés López Bernal
- Department of Obstetrics and Gynaecology, St Michael's Hospital, Bristol BS2 8EG, UK.
- Translational Health Sciences, University of Bristol, Bristol BS1 3NY, UK.
| |
Collapse
|
32
|
Ao Z, Li Z, Wang X, Zhao C, Gan Y, Wu X, Zeng F, Shi J, Gu T, Hong L, Zheng E, Liu D, Xu Z, Wu Z, Cai G. Identification of amniotic fluid metabolomic and placental transcriptomic changes associated with abnormal development of cloned pig fetuses. Mol Reprod Dev 2019; 86:278-291. [PMID: 30618166 DOI: 10.1002/mrd.23102] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 12/19/2018] [Accepted: 12/31/2018] [Indexed: 12/27/2022]
Abstract
Piglets cloned by somatic cell nuclear transfer (SCNT) show a high incidence of malformations and a high death rate during the perinatal period. To investigate the underlying mechanisms for abnormal development of cloned pig fetuses, we compared body weight, amniotic fluid (AF) metabolome, and placental transcriptome between SCNT- and artificial insemination (AI)-derived pig fetuses. Results showed that the body weight of SCNT pig fetuses was significantly lower than that of AI pig fetuses. The identified differential metabolites between the two groups of AF were mainly involved in bile acids and steroid hormones. The levels of all detected bile acids in SCNT AF were significantly higher than those in AI AF. The increase in the AF bile acid levels in SCNT fetuses was linked with the downregulation of placental bile acid transporter expression and the abnormal development of placental folds (PFs), both of which negatively affected the transfer of bile acids from AF across the placenta into the mother's circulation. Alteration in the AF steroid hormone levels in cloned fetuses was associated with decreased expression of enzymes responsible for steroid hormone biosynthesis in the placenta. In conclusion, cloned pig fetuses undergo abnormal intrauterine development associated with alteration of bile acid and steroid hormone levels in AF, which may be due to the poor development of PFs and the erroneous expression of bile acid transporters and enzymes responsible for steroid hormone biosynthesis in the placentas.
Collapse
Affiliation(s)
- Zheng Ao
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Zicong Li
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Xingwang Wang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Chengfa Zhao
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Yanmin Gan
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Xiao Wu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Fang Zeng
- College of Marine Sciences, South China Agricultural University, Guangzhou, Guangdong, China
| | - Junsong Shi
- Wen's Research Institute, Guangdong Wen's Foodstuff Group Ltd., Yunfu, Guangdong, China
| | - Ting Gu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Linjun Hong
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Enqin Zheng
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Dewu Liu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Zheng Xu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Zhenfang Wu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Gengyuan Cai
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| |
Collapse
|
33
|
Parfieniuk E, Zbucka-Kretowska M, Ciborowski M, Kretowski A, Barbas C. Untargeted metabolomics: an overview of its usefulness and future potential in prenatal diagnosis. Expert Rev Proteomics 2018; 15:809-816. [PMID: 30239246 DOI: 10.1080/14789450.2018.1526678] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
INTRODUCTION Metabolomics opens up new avenues for biomarker discovery in different branches of medicine, including perinatology. Chromosomal aberration, preterm delivery (PTD), congenital heart defects, spina bifida, chorioamnionitis, and low birth weight are the main perinatal pathologies. Investigations using untargeted metabolomics have found the candidate metabolites for diagnostic biomarkers. Areas covered: This review describes areas of prenatal diagnosis in which untargeted metabolomics has been used. Data on the disease, type of sample, techniques used, number of samples used in the study, and metabolites obtained including the sign of their regulation are summarized. Expert commentary: Untargeted metabolomics is a powerful tool which can shed a new light on prenatal diagnostics. It helps to discover affected metabolic pathways what may help to reveal disease pathogenesis and propose potential biomarkers. Among others, glycerol and 2- and 3-hydroxybutyrate were proposed as markers of chromosomal aberration. Serum metabolic signature of PTD was characterized by increased lipids and decreased levels of hypoxanthine, tryptophane, and pyroglutamic acid. Lower level lipids and vitamin D3 metabolites together with increased bilirubin level in maternal serum were associated with macrosomia. However, to give a real value to those assays and allow their clinical application multicenter, large cohort validation studies are necessary.
Collapse
Affiliation(s)
- Ewa Parfieniuk
- a Clinical Research Centre , Medical University of Bialystok , Bialystok , Poland
| | - Monika Zbucka-Kretowska
- b Department of Reproduction and Gynaecological Endocrinology , Medical University of Bialystok , Bialystok , Poland
| | - Michal Ciborowski
- a Clinical Research Centre , Medical University of Bialystok , Bialystok , Poland
| | - Adam Kretowski
- a Clinical Research Centre , Medical University of Bialystok , Bialystok , Poland.,c Department of Endocrinology, Diabetology and Internal Medicine , Medical University of Bialystok , Bialystok , Poland
| | - Coral Barbas
- d Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| |
Collapse
|
34
|
Shan J, Xie T, Xu J, Zhou H, Zhao X. Metabolomics of the amniotic fluid: Is it a feasible approach to evaluate the safety of Chinese medicine during pregnancy? J Appl Toxicol 2018; 39:163-171. [PMID: 29931825 DOI: 10.1002/jat.3653] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 04/08/2018] [Accepted: 05/09/2018] [Indexed: 12/13/2022]
Abstract
The use of Chinese medicines (CMs) during pregnancy has long been a major public health concern. Although CMs have been shown to be effective in treating infertility and preventing miscarriage, their use has been restricted, mainly because of limited knowledge of their potential toxicity. Accurate toxicology data are urgently required to assess whether these CMs are safe for maternal health and fetal development. Amniotic fluid (AF) contains carbohydrates, lipids and phospholipids, urea and proteins, all of which aid in the growth of the fetus and reflect the mother's health status as well. The changes in metabolomic patterns of AF are related to pathophysiological occurrences during the course of pregnancy. In this review, we provide a summary of the research performed in recent years on metabolomic AF samples, and use our previous study as an example to explore the feasibility of metabolomics of AF to evaluate the safety of CMs during pregnancy. We believe that metabolomics of AF play a far more important role than traditional morphology methods in the safety evaluation of CMs for pregnancy, with a higher sensitivity and correlation.
Collapse
Affiliation(s)
- Jinjun Shan
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210023, China.,Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Tong Xie
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210023, China.,Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Jianya Xu
- Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Huifang Zhou
- Department of Gynecology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Xia Zhao
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210023, China
| |
Collapse
|
35
|
Sterpu I, Anfelter P, Wray S, Kaihola H, Åkerud H, Wiberg-Itzel E. The association of second trimester biomarkers in amniotic fluid and fetal outcome. J Matern Fetal Neonatal Med 2018; 32:3627-3632. [PMID: 29685073 DOI: 10.1080/14767058.2018.1469127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Objective: To identify the level of amniotic fluid lactate (AFL), placental growth factor (PLGF), and vascular endothelial growth factor (VEGF) at second trimester amniocentesis, and to compare levels in normal pregnancies with pregnancies ending in a miscarriage, an intrauterine growth restricted fetus (IUGR) or decreased fetal movements. Study design: A prospective cohort study. Amniotic fluid was consecutively collected at amniocentesis in 106 pregnancies. Fetal wellbeing at delivery was evaluated from medical files and compared with the levels of AFL, VEGF, and PLGF at the time of amniocentesis. Results: The median level of AFL was 6.9 mmol/l, VEGF 0.088 pg/ml, and PLGF 0.208 pg/ml. The median levels of AFL in pregnancies ended in miscarriage were significantly higher (10.7 mmol/l) compared to those with a live new-born (6.9 mmol/L, p = .02). The levels of VEGF (p = .2) and PLGF (p = .7) were not affected. In pregnancies with an IUGR, the median level of AFL was higher compared to those with normal fetal growth (p = .003). No differences VEGF (p = .5), but significant lower PLGF were found in IUGR pregnancies (p = .03). Conclusions: Pregnancies ending in a miscarriage or with IUGR had significantly higher median values of AFL but lower values of PLGF in the amniotic fluid at the time of second trimester amniocentesis compared to normal pregnancies.
Collapse
Affiliation(s)
- Irene Sterpu
- a Department of Clinical Science and Education , Karolinska Institute, Women's Clinic , Sodersjukhuset , Sweden
| | - Peter Anfelter
- a Department of Clinical Science and Education , Karolinska Institute, Women's Clinic , Sodersjukhuset , Sweden
| | - Susan Wray
- b Department of Molecular and Cellular Physiology , Institute of translational medicine, University of Liverpool , Liverpool , United Kingdom
| | - Helena Kaihola
- c Department of Immunology, Genetics and Pathology , Uppsala University , Uppsala , Sweden
| | - Helena Åkerud
- c Department of Immunology, Genetics and Pathology , Uppsala University , Uppsala , Sweden
| | - Eva Wiberg-Itzel
- a Department of Clinical Science and Education , Karolinska Institute, Women's Clinic , Sodersjukhuset , Sweden
| |
Collapse
|
36
|
Dixon CL, Sheller-Miller S, Saade GR, Fortunato SJ, Lai A, Palma C, Guanzon D, Salomon C, Menon R. Amniotic Fluid Exosome Proteomic Profile Exhibits Unique Pathways of Term and Preterm Labor. Endocrinology 2018; 159:2229-2240. [PMID: 29635386 PMCID: PMC6963707 DOI: 10.1210/en.2018-00073] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Accepted: 03/29/2018] [Indexed: 12/11/2022]
Abstract
Our objective was to determine the amniotic fluid-derived exosomal proteomic profile in patients who had spontaneous preterm birth (PTB) or preterm premature rupture of membranes (pPROM) compared with those who delivered at term. A cross-sectional study of a retrospective cohort was used to quantify and determine the protein content of exosomes present in amniotic fluid, in PTB or pPROM, and normal term labor (TL) or term not in labor (TNIL) pregnancies. Exosomes were isolated by differential centrifugation and quantified using nanocrystals (Qdot) coupled to CD63 and placental alkaline phosphatase (PLAP) by fluorescence nanoparticle tracking analysis. The exosomal proteomic profile was identified by liquid chromatography-tandem mass spectrometry, and a small ion library was constructed to quantify the proteomic data by Sequential Window Acquisition of All Theoretical analysis. Ingenuity Pathway Analysis determined canonical pathways and biofunctions associated with dysregulated proteins. Amniotic fluid exosomes have similar shape and quantity regardless of the conditions; however, the PLAP/CD63 ratios for TL, PTB, and pPROM were significantly higher (∼3.8-, ∼4.4-, and ∼3.5-fold, respectively) compared with TNIL. The PLAP/CD63 ratio was also significantly higher (∼1.3-fold) in PTB compared with pPROM. Biological functions primarily indicated nonspecific inflammatory response regardless of condition, but unique profiles were also identified in cases (PTB and pPROM) compared with term. Amniotic fluid exosomes provide information specific to normal and abnormal parturition. Inflammatory marker enrichment and its uniqueness in term and preterm pregnancies support the value of exosomes in determining underlying physiology associated with term and preterm parturition.
Collapse
Affiliation(s)
- C Luke Dixon
- Division of Maternal-Fetal Medicine & Perinatal Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas
| | - Samantha Sheller-Miller
- Division of Maternal-Fetal Medicine & Perinatal Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas
| | - George R Saade
- Division of Maternal-Fetal Medicine & Perinatal Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas
| | - Stephen J Fortunato
- Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Ochsner Clinic Foundation, New Orleans, Louisiana
| | - Andrew Lai
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, University of Queensland Centre for Clinical Research, Royal Brisbane and Women’s Hospital, The University of Queensland, Brisbane, Queensland, Australia
| | - Carlos Palma
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, University of Queensland Centre for Clinical Research, Royal Brisbane and Women’s Hospital, The University of Queensland, Brisbane, Queensland, Australia
| | - Dominic Guanzon
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, University of Queensland Centre for Clinical Research, Royal Brisbane and Women’s Hospital, The University of Queensland, Brisbane, Queensland, Australia
| | - Carlos Salomon
- Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Ochsner Clinic Foundation, New Orleans, Louisiana
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, University of Queensland Centre for Clinical Research, Royal Brisbane and Women’s Hospital, The University of Queensland, Brisbane, Queensland, Australia
- Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, University of Concepción, 4070386 Concepción, Chile
- Correspondence: Ramkumar Menon, PhD, Department of Obstetrics and Gynecology, Perinatal Research Division, MRB 11.138, 301 University Boulevard, The University of Texas Medical Branch, Galveston, Texas 77555. E-mail: ; or Carlos Salomon, PhD, Exosome Biology Laboratory, Centre for Clincal Diagnostics, University of Queensland Centre for Clinical Research, Faculty of Health Sciences, University of Queensland, Building 71/918, Royal Brisbane and Women’s Hospital, Brisbane, Queensland 4029, Australia. E-mail:
| | - Ramkumar Menon
- Division of Maternal-Fetal Medicine & Perinatal Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas
- Correspondence: Ramkumar Menon, PhD, Department of Obstetrics and Gynecology, Perinatal Research Division, MRB 11.138, 301 University Boulevard, The University of Texas Medical Branch, Galveston, Texas 77555. E-mail: ; or Carlos Salomon, PhD, Exosome Biology Laboratory, Centre for Clincal Diagnostics, University of Queensland Centre for Clinical Research, Faculty of Health Sciences, University of Queensland, Building 71/918, Royal Brisbane and Women’s Hospital, Brisbane, Queensland 4029, Australia. E-mail:
| |
Collapse
|
37
|
Fotiou M, Fotakis C, Tsakoumaki F, Athanasiadou E, Kyrkou C, Dimitropoulou A, Tsiaka T, Chatziioannou AC, Sarafidis K, Menexes G, Theodoridis G, Biliaderis CG, Zoumpoulakis P, Athanasiadis AP, Michaelidou AM. 1H NMR-based metabolomics reveals the effect of maternal habitual dietary patterns on human amniotic fluid profile. Sci Rep 2018; 8:4076. [PMID: 29511239 PMCID: PMC5840288 DOI: 10.1038/s41598-018-22230-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 02/13/2018] [Indexed: 12/25/2022] Open
Abstract
Maternal diet may influence offspring’s health, even within well-nourished populations. Amniotic fluid (AF) provides a rational compartment for studies on fetal metabolism. Evidence in animal models indicates that maternal diet affects AF metabolic profile; however, data from human studies are scarce. Therefore, we have explored whether AF content may be influenced by maternal diet, using a validated food-frequency questionnaire and implementing NMR-based metabolomics. Sixty-five AF specimens, from women undergoing second-trimester amniocentesis for prenatal diagnosis, were analysed. Complementary, maternal serum and urine samples were profiled. Hierarchical cluster analysis identified 2 dietary patterns, cluster 1 (C1, n = 33) and cluster 2 (C2, n = 32). C1 was characterized by significantly higher percentages of energy derived from refined cereals, yellow cheese, red meat, poultry, and “ready-to-eat” foods, while C2 by higher (P < 0.05) whole cereals, vegetables, fruits, legumes, and nuts. 1H NMR spectra allowed the identification of metabolites associated with these dietary patterns; glucose, alanine, tyrosine, valine, citrate, cis-acotinate, and formate were the key discriminatory metabolites elevated in C1 AF specimens. This is the first evidence to suggest that the composition of AF is influenced by maternal habitual dietary patterns. Our results highlight the need to broaden the knowledge on the importance of maternal nutrition during pregnancy.
Collapse
Affiliation(s)
- Maria Fotiou
- Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Charalambos Fotakis
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece
| | - Foteini Tsakoumaki
- Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Elpiniki Athanasiadou
- 1st Department of Obstetrics and Gynecology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Charikleia Kyrkou
- Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Aristea Dimitropoulou
- Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Thalia Tsiaka
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece
| | | | - Kosmas Sarafidis
- 1st Department of Neonatology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - George Menexes
- Department of Field Crops and Ecology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Costas G Biliaderis
- Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Panagiotis Zoumpoulakis
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece.
| | - Apostolos P Athanasiadis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Alexandra-Maria Michaelidou
- Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| |
Collapse
|
38
|
Abstract
This article presents an account of the research carried out so far in the use of metabolomics to find biomarkers of preterm birth (PTB) in fetal, maternal, and newborn biofluids. Metabolomic studies have employed mainly nuclear magnetic resonance spectroscopy or mass spectrometry-based methodologies to analyze, on one hand, prenatal biofluids (amniotic fluid, maternal urine/maternal blood, cervicovaginal fluid) to identify predictive biomarkers of PTB, and on the other hand, biofluids collected at or after birth (amniotic fluid, umbilical cord blood, newborn urine, and newborn blood, maternal blood, or breast milk) to assess and follow up the health status of PTB babies. Besides advancing on the biochemical knowledge of PTB metabolism mainly during the in utero period and at birth, the work carried out has also helped to identify important requirements related to experimental design and analytical protocol that need to be addressed, if translation of these biomarkers to the clinic is to be envisaged. An outlook of possible future developments for the translation of laboratory results to the clinic is presented.
Collapse
Affiliation(s)
- Ana M Gil
- 1 Department of Chemistry, CICECO-Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
| | - Daniela Duarte
- 1 Department of Chemistry, CICECO-Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
| |
Collapse
|
39
|
Quinney SK, Gullapelli R, Haas DM. Translational Systems Pharmacology Studies in Pregnant Women. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY 2017; 7:69-81. [PMID: 29239132 PMCID: PMC5824114 DOI: 10.1002/psp4.12269] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 11/06/2017] [Accepted: 11/07/2017] [Indexed: 12/26/2022]
Abstract
Pregnancy involves rapid physiological adaptation and complex interplay between mother and fetus. New analytic technologies provide large amounts of genomic, proteomic, and metabolomics data. The integration of these data through bioinformatics, statistical, and systems pharmacology techniques can improve our understanding of the mechanisms of normal maternal physiologic changes and fetal development. New insights into the mechanisms of pregnancy‐related disorders, such as preterm birth (PTB), may lead to the development of new therapeutic interventions and novel biomarkers.
Collapse
Affiliation(s)
- Sara K Quinney
- Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA.,Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Rakesh Gullapelli
- School of Informatics and Computing, Indiana University Purdue University Indianapolis, Indianapolis, Indiana, USA
| | - David M Haas
- Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA.,Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| |
Collapse
|
40
|
Bosso M, Ständker L, Kirchhoff F, Münch J. Exploiting the human peptidome for novel antimicrobial and anticancer agents. Bioorg Med Chem 2017; 26:2719-2726. [PMID: 29122440 DOI: 10.1016/j.bmc.2017.10.038] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 10/28/2017] [Indexed: 12/22/2022]
Abstract
Infectious diseases and cancers are leading causes of death and pose major challenges to public health. The human peptidome encompasses millions of compounds that display an enormous structural and functional diversity and represents an excellent source for the discovery of endogenous agents with antimicrobial and/or anticancer activity. Here, we discuss how to exploit the human peptidome for novel antimicrobial and anticancer agents through the generation of peptide libraries from human body fluids and tissues and stepwise purification of bioactive compounds.
Collapse
Affiliation(s)
- Matteo Bosso
- Institute of Molecular Virology, Ulm University Medical Center, Meyerhofstrasse 1, 89081 Ulm, Germany
| | - Ludger Ständker
- Ulm Peptide Pharmaceuticals, Ulm University, Albert-Einstein-Allee 47, 89081 Ulm, Germany; Core Facility Functional Peptidomics, Ulm University Medical Center, Albert-Einstein-Allee 47, 89081 Ulm, Germany
| | - Frank Kirchhoff
- Institute of Molecular Virology, Ulm University Medical Center, Meyerhofstrasse 1, 89081 Ulm, Germany; Ulm Peptide Pharmaceuticals, Ulm University, Albert-Einstein-Allee 47, 89081 Ulm, Germany
| | - Jan Münch
- Institute of Molecular Virology, Ulm University Medical Center, Meyerhofstrasse 1, 89081 Ulm, Germany; Ulm Peptide Pharmaceuticals, Ulm University, Albert-Einstein-Allee 47, 89081 Ulm, Germany; Core Facility Functional Peptidomics, Ulm University Medical Center, Albert-Einstein-Allee 47, 89081 Ulm, Germany.
| |
Collapse
|
41
|
Abstract
Lipidomics is the identification and quantitation of changes in the lipidome of a cell, tissue, organ or biofluid in health and disease using high resolution mass spectrometry. Lipidome of a particular organism has relevance to the disease manifestation as it reflects the metabolic changes which can be a consequence of the disease. Hence these changes in the molecules can be considered as potential markers for screening and early detection of the disease. Biological fluids as blood/serum/plasma, urine, saliva, tear and cerebrospinal fluid, due to their accessibility, offer ease of collection with minimal or no discomfort to the patient and provide a ready footprint of the metabolic changes occurring during disease. This review provides a brief introduction to lipidomics and its role in understanding the metabolic changes in health and disease followed by discussion on the chemical diversity of the lipid species and their biological role, mammalian lipids and their metabolism and role of lipids in pathogens and the immune response before dwelling further into importance of studying lipidome in various biological fluids. The challenges in performing a lipidomic analysis at the experimental and data analysis stages are discussed.
Collapse
Affiliation(s)
- Arkasubhra Ghosh
- GROW Research Laboratory, Narayana Nethralaya Foundation, Narayana Health City, # 258/A, Bommasandra, Hosur Road, Bangalore, 560 099, India
| | - Krishnatej Nishtala
- GROW Research Laboratory, Narayana Nethralaya Foundation, Narayana Health City, # 258/A, Bommasandra, Hosur Road, Bangalore, 560 099, India.
| |
Collapse
|
42
|
Sample Preparation Strategies for the Effective Quantitation of Hydrophilic Metabolites in Serum by Multi-Targeted HILIC-MS/MS. Metabolites 2017; 7:metabo7020013. [PMID: 28358315 PMCID: PMC5487984 DOI: 10.3390/metabo7020013] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Revised: 02/25/2017] [Accepted: 03/23/2017] [Indexed: 01/03/2023] Open
Abstract
The effect of endogenous interferences of serum in multi-targeted metabolite profiling HILIC-MS/MS analysis was investigated by studying different sample preparation procedures. A modified QuEChERS dispersive SPE protocol, a HybridSPE protocol, and a combination of liquid extraction with protein precipitation were compared to a simple protein precipitation. Evaluation of extraction efficiency and sample clean-up was performed for all methods. SPE sorbent materials tested were found to retain hydrophilic analytes together with endogenous interferences, thus additional elution steps were needed. Liquid extraction was not shown to minimise matrix effects. In general, it was observed that a balance should be reached in terms of recovery, efficient clean-up, and sample treatment time when a wide range of metabolites are analysed. A quick step for removing phospholipids prior to the determination of hydrophilic endogenous metabolites is required, however, based on the results from the applied methods, further studies are needed to achieve high recoveries for all metabolites.
Collapse
|
43
|
Begou O, Gika HG, Wilson ID, Theodoridis G. Hyphenated MS-based targeted approaches in metabolomics. Analyst 2017; 142:3079-3100. [DOI: 10.1039/c7an00812k] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Review of targeted metabolomics, with a focus on the description of analytical methods.
Collapse
Affiliation(s)
- O. Begou
- Department of Chemistry
- Aristotle University
- 54124 Thessaloniki
- Greece
| | - H. G. Gika
- Department of Medicine
- Aristotle University
- 54124 Thessaloniki
- Greece
| | - I. D. Wilson
- Division of Computational and Systems Medicine
- Department of Surgery and Cancer
- Imperial College
- London
- UK
| | - G. Theodoridis
- Department of Chemistry
- Aristotle University
- 54124 Thessaloniki
- Greece
| |
Collapse
|