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Cosemans C, Alfano R, Sleurs H, Martens DS, Nawrot TS, Plusquin M. Exploring mitochondrial heteroplasmy in neonates: implications for growth patterns and overweight in the first years of life. Int J Obes (Lond) 2024; 48:1140-1147. [PMID: 38802661 DOI: 10.1038/s41366-024-01537-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 05/02/2024] [Accepted: 05/07/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Mitochondrial heteroplasmy reflects genetic diversity within individuals due to the presence of varying mitochondrial DNA (mtDNA) sequences, possibly affecting mitochondrial function and energy production in cells. Rapid growth during early childhood is a critical development with long-term implications for health and well-being. In this study, we investigated if cord blood mtDNA heteroplasmy is associated with rapid growth at 6 and 12 months and overweight in childhood at 4-6 years. METHODS This study included 200 mother-child pairs of the ENVIRONAGE birth cohort. Whole mitochondrial genome sequencing was performed to determine mtDNA heteroplasmy levels (in variant allele frequency; VAF) in cord blood. Rapid growth was defined for each child as the difference between WHO-SD scores of predicted weight at either 6 or 12 months and birth weight. Logistic regression models were used to determine the association of mitochondrial heteroplasmy with rapid growth and childhood overweight. Determinants of relevant cord blood mitochondrial heteroplasmies were identified using multiple linear regression models. RESULTS One % increase in VAF of cord blood MT-D-Loop16362T > C heteroplasmy was associated with rapid growth at 6 months (OR = 1.03; 95% CI: 1.01-1.05; p = 0.001) and 12 months (OR = 1.02; 95% CI: 1.00-1.03; p = 0.02). Furthermore, this variant was associated with childhood overweight at 4-6 years (OR = 1.01; 95% CI 1.00-1.02; p = 0.05). Additionally, rapid growth at 6 months (OR = 3.00; 95% CI: 1.49-6.14; p = 0.002) and 12 months (OR = 4.05; 95% CI: 2.06-8.49; p < 0.001) was also associated with childhood overweight at 4-6 years. Furthermore, we identified maternal age, pre-pregnancy BMI, maternal education, parity, and gestational age as determinants of cord blood MT-D-Loop16362T > C heteroplasmy. CONCLUSIONS Our findings, based on mitochondrial DNA genotyping, offer insights into the molecular machinery leading to rapid growth in early life, potentially explaining a working mechanism of the development toward childhood overweight.
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Affiliation(s)
- Charlotte Cosemans
- Centre for Environmental Sciences, Hasselt University, 3590, Diepenbeek, Belgium
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, 3590, Diepenbeek, Belgium
| | - Hanne Sleurs
- Centre for Environmental Sciences, Hasselt University, 3590, Diepenbeek, Belgium
| | - Dries S Martens
- Centre for Environmental Sciences, Hasselt University, 3590, Diepenbeek, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, 3590, Diepenbeek, Belgium
- School of Public Health, Occupational & Environmental Medicine, Leuven University, 3000, Leuven, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, 3590, Diepenbeek, Belgium.
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Hong X, Nadeau K, Wang G, Larman B, Smith KN, Pearson C, Ji H, Frischmeyer-Guerrerio P, Liang L, Hu FB, Wang X. Metabolomic profiles during early childhood and risk of food allergies and asthma in multiethnic children from a prospective birth cohort. J Allergy Clin Immunol 2024; 154:168-178. [PMID: 38548091 PMCID: PMC11227411 DOI: 10.1016/j.jaci.2024.02.024] [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: 10/05/2023] [Revised: 01/08/2024] [Accepted: 02/22/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND There are increasing numbers of metabolomic studies in food allergy (FA) and asthma, which, however, are predominantly limited by cross-sectional designs, small sample size, and being conducted in European populations. OBJECTIVE We sought to identify metabolites unique to and shared by children with FA and/or asthma in a racially diverse prospective birth cohort, the Boston Birth Cohort. METHODS Mass spectrometry-based untargeted metabolomic profiling was performed using venous plasma collected in early childhood (n = 811). FA was diagnosed according to clinical symptoms consistent with an acute hypersensitivity reaction at food ingestion and food specific-IgE > 0.35 kU/L. Asthma was defined on the basis of physician diagnosis. Generalized estimating equations were applied to analyze metabolomic associations with FA and asthma, adjusting for potential confounders. RESULTS During a mean ± standard deviation follow-up of 11.8 ± 5.2 years from birth, 78 children developed FA and 171 developed asthma. Androgenic and pregnenolone steroids were significantly associated with a lower risk of FA, especially for egg allergy. N,N,N-trimethyl-5-aminovalerate (odds ratio [OR] = 0.65, 95% confidence interval [CI] = 0.48-0.87), and 1-oleoyl-2-arachidonoyl-sn-glycero-3-phosphoinositol (OR = 0.77; 95% CI = 0.66-0.90) were inversely associated with FA risk. Orotidine (OR = 4.73; 95% CI = 2.2-10.2) and 4-cholesten-3-one (OR = 0.52; 95% CI = 0.35-0.77) were the top 2 metabolites associated with risk of asthma, although they had no association with FA. In comparison, children with both FA and asthma exhibited an altered metabolomic profile that aligned with that of FA, including altered levels of lipids and steroids. CONCLUSION In this US multiethnic prospective birth cohort, unique and shared alterations in plasma metabolites during early childhood were associated with risk of developing FA and/or asthma. These findings await further validation.
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Affiliation(s)
- Xiumei Hong
- Department of Population, Family and Reproductive Health, Center on the Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md.
| | - Kari Nadeau
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Mass
| | - Guoying Wang
- Department of Population, Family and Reproductive Health, Center on the Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md
| | - Ben Larman
- Department of Pathology, Division of Immunology, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Kellie N Smith
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, and the Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Colleen Pearson
- Department of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, Mass
| | - Hongkai Ji
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md
| | - Pamela Frischmeyer-Guerrerio
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Md
| | - Liming Liang
- Department of Epidemiology and Biostatistics, T. H. Chan School of Public Health, Harvard University, Boston, Mass
| | - Frank B Hu
- Department of Epidemiology and Biostatistics, T. H. Chan School of Public Health, Harvard University, Boston, Mass; Department of Nutrition, T. H. Chan School of Public Health, Harvard University, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Center on the Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md; Department of Pediatrics, Division of General Pediatrics & Adolescent Medicine, Johns Hopkins University School of Medicine, Baltimore, Md
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Van Pee T, Martens DS, Alfano R, Engelen L, Sleurs H, Rasking L, Plusquin M, Nawrot TS. Cord Blood Proteomic Profiles, Birth Weight, and Early Life Growth Trajectories. JAMA Netw Open 2024; 7:e2411246. [PMID: 38743419 PMCID: PMC11094560 DOI: 10.1001/jamanetworkopen.2024.11246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 03/13/2024] [Indexed: 05/16/2024] Open
Abstract
Importance The cord blood proteome, a repository of proteins derived from both mother and fetus, might offer valuable insights into the physiological and pathological state of the fetus. However, its association with birth weight and growth trajectories early in life remains unexplored. Objective To identify cord blood proteins associated with birth weight and the birth weight ratio (BWR) and to evaluate the associations of these cord blood proteins with early growth trajectories. Design, Setting, and Participants This cohort study included 288 mother-child pairs from the ongoing prospective Environmental Influence on Early Aging birth cohort study. Newborns were recruited from East-Limburg Hospital in Genk, Belgium, between February 2010 and November 2017 and followed up until ages 4 to 6 years. Data were analyzed from February 2022 to September 2023. Main Outcomes and Measures The outcome of interest was the associations of 368 inflammatory-related cord blood proteins with birth weight or BWR and with early life growth trajectories (ie, rapid growth at age 12 months and weight, body mass index [BMI] z score, waist circumference, and overweight at age 4-6 years) using multiple linear regression models. The BWR was calculated by dividing the birth weight by the median birth weight of the population-specific reference growth curve, considering parity, sex, and gestational age. Results are presented as estimates or odds ratios (ORs) for each doubling in proteins. Results The sample included 288 infants (125 [43.4%] male; mean [SD] gestation age, 277.2 [11.6] days). The mean (SD) age of the child at the follow-up examination was 4.6 (0.4) years old. After multiple testing correction, there were significant associations of birth weight and BWR with 7 proteins: 2 positive associations: afamin (birth weight: coefficient, 341.16 [95% CI, 192.76 to 489.50]) and secreted frizzled-related protein 4 (SFRP4; birth weight: coefficient, 242.60 [95% CI, 142.77 to 342.43]; BWR: coefficient, 0.07 [95% CI, 0.04 to 0.10]) and 5 negative associations: cadherin EGF LAG 7-pass G-type receptor 2 (CELSR2; birth weight: coefficient, -237.52 [95% CI, -343.15 to -131.89]), ephrin type-A receptor 4 (EPHA4; birth weight: coefficient, -342.78 [95% CI, -463.10 to -222.47]; BWR: coefficient, -0.11 [95% CI, -0.14 to -0.07]), SLIT and NTRK-like protein 1 (SLITRK1; birth weight: coefficient, -366.32 [95% CI, -476.66 to -255.97]; BWR: coefficient, -0.11 [95% CI, -0.15 to -0.08]), transcobalamin-1 (TCN1; birth weight: coefficient, -208.75 [95% CI, -305.23 to -112.26]), and unc-5 netrin receptor D (UNC5D; birth weight: coefficient, -209.27 [95% CI, -295.14 to -123.40]; BWR: coefficient, -0.07 [95% CI, -0.09 to -0.04]). Further evaluation showed that 2 proteins were still associated with rapid growth at age 12 months (afamin: OR, 0.32 [95% CI, 0.11-0.88]; TCN1: OR, 2.44 [95% CI, 1.26-4.80]). At age 4 to 6 years, CELSR2, EPHA4, SLITRK1, and UNC5D were negatively associated with weight (coefficients, -1.33 to -0.68 kg) and body mass index z score (coefficients, -0.41 to -0.23), and EPHA4, SLITRK1, and UNC5D were negatively associated with waist circumference (coefficients, -1.98 to -0.87 cm). At ages 4 to 6 years, afamin (OR, 0.19 [95% CI, 0.05-0.70]) and SLITRK1 (OR, 0.32 [95% CI, 0.10-0.99]) were associated with lower odds for overweight. Conclusions and Relevance This cohort study found 7 cord blood proteins associated with birth weight and growth trajectories early in life. Overall, these findings suggest that stressors that could affect the cord blood proteome during pregnancy might have long-lasting associations with weight and body anthropometrics.
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Affiliation(s)
- Thessa Van Pee
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Dries S. Martens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Liesa Engelen
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Hanne Sleurs
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Leen Rasking
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Tim S. Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
- Department of Public Health and Primary Care, Leuven University, Leuven, Belgium
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Jin WY, Chen XY, Han T, Jin Y, Chen TT, Wang ZH, Zhao ZY, Zhu ZW. Associations between cord blood metabolic factors and early-childhood growth and overweight and obesity. Front Endocrinol (Lausanne) 2023; 14:1164747. [PMID: 37497350 PMCID: PMC10366685 DOI: 10.3389/fendo.2023.1164747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 06/23/2023] [Indexed: 07/28/2023] Open
Abstract
Objective This prospective cohort study was aimed at investigating the associations between cord blood metabolic factors and early-childhood growth, further elucidating the relationships between cord blood metabolites and overweight and obesity in early life. Methods A total of 2,267 pairs of mothers and offspring were recruited in our study. Cord blood plasma was assayed for triglycerides (TGs), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), C-peptide, insulin, and glycosylated hemoglobin type A1C (HbA1c) levels. Data of anthropometric measurements were collected from offspring at birth, 6 months, 12 months, and 18 months. Multiple linear regression models were used to evaluate the correlations between cord blood metabolic factors and weight Z-scores, body mass index (BMI) Z-scores, and weight gains at the early stage of life. Forward stepwise logistic regression analyses were applied to explore the associations between cord blood metabolic factors and early-childhood overweight and obesity. Receiver operating characteristic (ROC) curve analyses were applied to determine the optimal cutoff points for cord blood metabolic factors in predicting early-childhood overweight and obesity. Results After adjustments for covariates, cord blood TG concentrations and TG/TC ratios were negatively associated with weight Z-scores from birth to 18 months. Cord blood C-peptide and HbA1c levels were inversely associated with weight Z-scores at 6 months and 18 months. Cord blood TG concentrations and TG/TC ratios were negatively correlated with BMI Z-scores up to 18 months. Cord blood C-peptide levels and HbA1c levels were inversely correlated with BMI Z-scores at 18 months. Cord blood TG, TG/TC ratios, C-peptide, and HbA1c had negative correlations with weight gains from birth to 6 months, but the correlations attenuated as time went on. Increase in cord blood TG and HbA1c levels and TG/TC ratios were significantly associated with decreased risks of overweight and obesity at 6 months, 12 months, and 18 months. Conclusions Cord blood metabolic factors were significantly associated with early-childhood growth patterns.
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Affiliation(s)
- Wen-Yuan Jin
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Xiao-Yang Chen
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Ting Han
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yan Jin
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Ting-Ting Chen
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zi-Han Wang
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zheng-Yan Zhao
- Department of Genetic and Metabolism, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zhi-Wei Zhu
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
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Vineis P, Handakas E, Alfano R, Millett C, Fecht D, Chatzi L, Plusquin M, Nawrot T, Richiardi L, Barros H, Vrijheid M, Sassi F, Robinson O. The contribution to policies of an exposome-based approach to childhood obesity. EXPOSOME 2023; 3:osad006. [PMID: 37823001 PMCID: PMC7615122 DOI: 10.1093/exposome/osad006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
Childhood obesity is an increasingly severe public health problem, with a prospective impact on health. We propose an exposome approach to identify actionable risk factors for this condition. Our assumption is that relationships between external exposures and outcomes such as rapid growth, overweight, or obesity in children can be better understood through a "meet-in-the-middle" model. This is based on a combination of external and internal exposome-based approaches, that is, the study of multiple exposures (in our case, dietary patterns) and molecular pathways (metabolomics and epigenetics). This may strengthen causal reasoning by identifying intermediate markers that are associated with both exposures and outcomes. Our biomarker-based studies in the STOP consortium suggest (in several ways, including mediation analysis) that branched-chain amino acids (BCAAs) could be mediators of the effect of dietary risk factors on childhood overweight/obesity. This is consistent with intervention and animal studies showing that higher intake of BCAAs has a positive impact on body composition, glycemia, and satiety. Concerning food, of particular concern is the trend of increasing intake of ultra-processed food (UPF), including among children. Several mechanisms have been proposed to explain the impact of UPF on obesity and overweight, including nutrient intake (particularly proteins), changes in appetite, or the role of additives. Research from the Avon Longitudinal Study of Parents and Children cohort has shown a relationship between UPF intake and trajectories in childhood adiposity, while UPF was related to lower blood levels of BCAAs. We suggest that an exposome-based approach can help strengthening causal reasoning and support policies. Intake of UPF in children should be restricted to prevent obesity.
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Affiliation(s)
- Paolo Vineis
- MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Evangelos Handakas
- MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Heath, Imperial College London, London, UK
- NOVA National School of Public Health, Public Health Research Center, Comprehensive Health Research Center, CHRC,, NOVA University Lisbon, Lisbon, Portugal
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
- NIHR Health Protection Research Unit in Chemical Radiation Threats and Hazards, School of Public Health, Imperial College London, London, UK
| | - Leda Chatzi
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Tim Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Henrique Barros
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Martine Vrijheid
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Franco Sassi
- Centre for Health Economics and Policy Innovation, Department of Economics and Public Policy, Imperial College Business School, London, UK
| | - Oliver Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
- Mohn Centre for Children’s Health and Well-being, School of Public Health, Imperial College London, London, UK
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Zeng X, Chen T, Cui Y, Zhao J, Chen Q, Yu Z, Zhang Y, Han L, Chen Y, Zhang J. In utero exposure to perfluoroalkyl substances and early childhood BMI trajectories: A mediation analysis with neonatal metabolic profiles. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 867:161504. [PMID: 36634772 DOI: 10.1016/j.scitotenv.2023.161504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/30/2022] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND In utero perfluoroalkyl substances (PFAS) exposure has been associated with childhood adiposity, but the mechanisms are poorly known. OBJECTIVE To investigate the potential mediating role of neonatal metabolites in the relationship between prenatal PFAS exposure and childhood adiposity trajectories in the first four years of life. METHODS We analyzed the data for 1671 mother-child pairs from the Shanghai Birth Cohort study. We included those with PFAS exposure information in early pregnancy, neonatal metabolites data and at least three child anthropometric measurements at 6, 12, 24 and/or 48 months. Body mass index (BMI) z-score trajectories were identified using latent class growth mixture modeling. The associations between PFAS concentrations and trajectory classes were assessed using multinomial logistic regression. Screening and penalization-based selection was used to identify neonatal amino acids and acylcarnitines with significant mediation effects. RESULTS Three BMI z-score trajectories in early childhood were identified: a persistent increase trajectory (Class 1, 2.2 %), a stable trajectory (Class 2, 66 %), and a transient increase trajectory (Class 3, 32 %). Increased odds of being in Class 1 were observed in association with one log-unit increase in concentrations of perfluorooctane sulfonate (odds ratio [OR], 1.76 [95 % CI, 0.96-3.23], Class 2 as reference; OR, 2.36 [95 % CI, 1.27-4.40], Class 3 as reference), perfluorononanoic acid (OR, 1.90 [95 % CI, 0.97-3.72], Class 2 as reference; OR, 2.23 [95 % CI, 1.12-4.42], Class 3 as reference) and perfluorodecanoic acid (OR, 1.95 [95 % CI, 1.12-3.38], Class 2 as reference; OR, 2.14 [95 % CI, 1.22-3.76], Class 3 as reference). The effect of prenatal PFAS exposure on being in Class 1 was significantly but partly mediated by octanoylcarnitine (2.64 % for perfluorononanoic acid and 3.70 % for sum of 10 PFAS). CONCLUSIONS In utero PFAS exposure is a risk factor for persistent growth in BMI z-score in early childhood. The alteration of neonatal acylcarnitines suggests a potential molecular pathway.
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Affiliation(s)
- Xiaojing Zeng
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Ting Chen
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Yidan Cui
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jian Zhao
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Qian Chen
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Zhangsheng Yu
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yongjun Zhang
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Lianshu Han
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Yan Chen
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
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Snyder BM, Gebretsadik T, Rohrig NB, Wu P, Dupont WD, Dabelea DM, Fry RC, Lynch SV, McEvoy CT, Paneth NS, Ryckman KK, Gern JE, Hartert TV. The Associations of Maternal Health Characteristics, Newborn Metabolite Concentrations, and Child Body Mass Index among US Children in the ECHO Program. Metabolites 2023; 13:510. [PMID: 37110168 PMCID: PMC10144800 DOI: 10.3390/metabo13040510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 03/30/2023] [Accepted: 03/31/2023] [Indexed: 04/05/2023] Open
Abstract
We aimed first to assess associations between maternal health characteristics and newborn metabolite concentrations and second to assess associations between metabolites associated with maternal health characteristics and child body mass index (BMI). This study included 3492 infants enrolled in three birth cohorts with linked newborn screening metabolic data. Maternal health characteristics were ascertained from questionnaires, birth certificates, and medical records. Child BMI was ascertained from medical records and study visits. We used multivariate analysis of variance, followed by multivariable linear/proportional odds regression, to determine maternal health characteristic-newborn metabolite associations. Significant associations were found in discovery and replication cohorts of higher pre-pregnancy BMI with increased C0 and higher maternal age at delivery with increased C2 (C0: discovery: aβ 0.05 [95% CI 0.03, 0.07]; replication: aβ 0.04 [95% CI 0.006, 0.06]; C2: discovery: aβ 0.04 [95% CI 0.003, 0.08]; replication: aβ 0.04 [95% CI 0.02, 0.07]). Social Vulnerability Index, insurance, and residence were also associated with metabolite concentrations in a discovery cohort. Associations between metabolites associated with maternal health characteristics and child BMI were modified from 1-3 years (interaction: p < 0.05). These findings may provide insights on potential biologic pathways through which maternal health characteristics may impact fetal metabolic programming and child growth patterns.
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Affiliation(s)
- Brittney M. Snyder
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Tebeb Gebretsadik
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Nina B. Rohrig
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Pingsheng Wu
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - William D. Dupont
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Dana M. Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Susan V. Lynch
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Cindy T. McEvoy
- Department of Pediatrics, Oregon Health and Science University, Portland, OR 97239, USA
| | - Nigel S. Paneth
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI 48824, USA
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, East Lansing, MI 48912, USA
| | - Kelli K. Ryckman
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health—Bloomington, Bloomington, IN 47405, USA
| | - James E. Gern
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA
| | - Tina V. Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37203, USA
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Araujo ANM, Leroux IN, Furtado DZS, Ferreira APSDS, Batista BL, Silva HDT, Handakas E, Assunção NA, Olympio KPK. Integration of proteomic and metabolomic analyses: New insights for mapping informal workers exposed to potentially toxic elements. Front Public Health 2023; 10:899638. [PMID: 36761330 PMCID: PMC9905639 DOI: 10.3389/fpubh.2022.899638] [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: 03/18/2022] [Accepted: 12/29/2022] [Indexed: 01/26/2023] Open
Abstract
Occupational exposure to potentially toxic elements (PTEs) is a concerning reality of informal workers engaged in the jewelry production chain that can lead to adverse health effects. In this study, untargeted proteomic and metabolomic analyses were employed to assess the impact of these exposures on informal workers' exposome in Limeira city, São Paulo state, Brazil. PTE levels (Cr, Mn, Ni, Cu, Zn, As, Cd, Sn, Sb, Hg, and Pb) were determined in blood, proteomic analyses were performed for saliva samples (n = 26), and metabolomic analyses in plasma (n = 145) using ultra-high performance liquid chromatography (UHPLC) coupled with quadrupole-time-of-flight (Q-TOF) mass spectrometry. Blood PTE levels of workers, controls, and their family members were determined by inductively coupled plasma-mass spectrometry (ICP-MS). High concentration levels of Sn and Cu were detected in welders' blood (p < 0.001). Statistical analyses were performed using MetaboAnalyst 4.0. The results showed that 26 proteins were upregulated, and 14 proteins downregulated on the welder group, and thirty of these proteins were also correlated with blood Pb, Cu, Sb, and Sn blood levels in the welder group (p < 0.05). Using gene ontology analysis of these 40 proteins revealed the biological processes related to the upregulated proteins were translational initiation, SRP-dependent co-translational protein targeting to membrane, and viral transcription. A Metabolome-Wide Association Study (MWAS) was performed to search for associations between blood metabolites and exposure groups. A pathway enrichment analysis of significant features from the MWAS was then conducted with Mummichog. A total of 73 metabolomic compounds and 40 proteins up or down-regulated in welders were used to perform a multi-omics analysis, disclosing seven metabolic pathways potentially disturbed by the informal work: valine leucine and isoleucine biosynthesis, valine leucine and isoleucine degradation, arginine and proline metabolism, ABC transporters, central carbon metabolism in cancer, arachidonic acid metabolism and cysteine and methionine metabolism. The majority of the proteins found to be statistically up or downregulated in welders also correlated with at least one blood PTE level, providing insights into the biological responses to PTE exposures in the informal work exposure scenario. These findings shed new light on the effects of occupational activity on workers' exposome, underscoring the harmful effects of PTE.
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Affiliation(s)
- Alda Neis Miranda Araujo
- Graduate Program in Translational Medicine, Paulista School of Medicine, Department of Medicine, Federal University of São Paulo, São Paulo, Brazil
| | - Isabelle Nogueira Leroux
- School of Public Health, Department of Environmental Health, University of São Paulo, São Paulo, Brazil
| | - Danielle Zildeana Sousa Furtado
- Department of Chemistry, Institute of Environmental, Chemical, and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, São Paulo, Brazil,Technology School of Teresina, Teresina, Piauí, Brazil
| | | | - Bruno Lemos Batista
- Center for Natural and Human Sciences, Federal University of ABC, São Paulo, Brazil
| | - Heron Dominguez Torres Silva
- Department of Chemistry, Institute of Environmental, Chemical, and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, São Paulo, Brazil
| | - Evangelos Handakas
- Department of Medicine, Computation and Medicine, Imperial College London, London, United Kingdom
| | - Nilson Antônio Assunção
- Department of Chemistry, Institute of Environmental, Chemical, and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, São Paulo, Brazil,Nilson Antônio Assunção ✉
| | - Kelly Polido Kaneshiro Olympio
- School of Public Health, Department of Environmental Health, University of São Paulo, São Paulo, Brazil,*Correspondence: Kelly Polido Kaneshiro Olympio ✉
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9
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Alfano R, Zugna D, Barros H, Bustamante M, Chatzi L, Ghantous A, Herceg Z, Keski-Rahkonen P, de Kok TM, Nawrot TS, Relton CL, Robinson O, Roumeliotaki T, Scalbert A, Vrijheid M, Vineis P, Richiardi L, Plusquin M. Cord blood epigenome-wide meta-analysis in six European-based child cohorts identifies signatures linked to rapid weight growth. BMC Med 2023; 21:17. [PMID: 36627699 PMCID: PMC9831885 DOI: 10.1186/s12916-022-02685-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 11/29/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Rapid postnatal growth may result from exposure in utero or early life to adverse conditions and has been associated with diseases later in life and, in particular, with childhood obesity. DNA methylation, interfacing early-life exposures and subsequent diseases, is a possible mechanism underlying early-life programming. METHODS Here, a meta-analysis of Illumina HumanMethylation 450K/EPIC-array associations of cord blood DNA methylation at single CpG sites and CpG genomic regions with rapid weight growth at 1 year of age (defined with reference to WHO growth charts) was conducted in six European-based child cohorts (ALSPAC, ENVIRONAGE, Generation XXI, INMA, Piccolipiù, and RHEA, N = 2003). The association of gestational age acceleration (calculated using the Bohlin epigenetic clock) with rapid weight growth was also explored via meta-analysis. Follow-up analyses of identified DNA methylation signals included prediction of rapid weight growth, mediation of the effect of conventional risk factors on rapid weight growth, integration with transcriptomics and metabolomics, association with overweight in childhood (between 4 and 8 years), and comparison with previous findings. RESULTS Forty-seven CpGs were associated with rapid weight growth at suggestive p-value <1e-05 and, among them, three CpGs (cg14459032, cg25953130 annotated to ARID5B, and cg00049440 annotated to KLF9) passed the genome-wide significance level (p-value <1.25e-07). Sixteen differentially methylated regions (DMRs) were identified as associated with rapid weight growth at false discovery rate (FDR)-adjusted/Siddak p-values < 0.01. Gestational age acceleration was associated with decreasing risk of rapid weight growth (p-value = 9.75e-04). Identified DNA methylation signals slightly increased the prediction of rapid weight growth in addition to conventional risk factors. Among the identified signals, three CpGs partially mediated the effect of gestational age on rapid weight growth. Both CpGs (N=3) and DMRs (N=3) were associated with differential expression of transcripts (N=10 and 7, respectively), including long non-coding RNAs. An AURKC DMR was associated with childhood overweight. We observed enrichment of CpGs previously reported associated with birthweight. CONCLUSIONS Our findings provide evidence of the association between cord blood DNA methylation and rapid weight growth and suggest links with prenatal exposures and association with childhood obesity providing opportunities for early prevention.
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Affiliation(s)
- Rossella Alfano
- Medical Research Council Centre for Environment and Health, Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Daniela Zugna
- Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy
| | - Henrique Barros
- Institute of Public Health, University of Porto, Porto, Portugal
| | - Mariona Bustamante
- ISGlobal, Institute of Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, University of Southern California, Los Angeles, USA
| | - Akram Ghantous
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France
| | - Zdenko Herceg
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France
| | - Pekka Keski-Rahkonen
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France
| | - Theo M de Kok
- Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Caroline L Relton
- Μedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Oliver Robinson
- Medical Research Council Centre for Environment and Health, Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK
- Mohn Centre for Children's Health and Well-being, The School of Public Health, Imperial College London, London, UK
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Augustin Scalbert
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France
| | - Martine Vrijheid
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France
| | - Paolo Vineis
- Medical Research Council Centre for Environment and Health, Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK
| | - Lorenzo Richiardi
- Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium.
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Vineis P, Barouki R. The exposome as the science of social-to-biological transitions. ENVIRONMENT INTERNATIONAL 2022; 165:107312. [PMID: 35635963 DOI: 10.1016/j.envint.2022.107312] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/19/2022] [Accepted: 05/17/2022] [Indexed: 06/15/2023]
Abstract
The understanding of disease etiology and pathogenesis has radically changed as a consequence of the new challenges posed by climate change, environmental degradation and emerging infectious diseases. The awareness of the influence of distal causes (e.g. planetary changes at the roots of new pandemics), of the social environment and of early life exposures calls for innovative models of disease onset. Here we propose a scheme for the practice of epidemiology and toxicology that incorporates new recent advancements in both disciplines, under the general umbrella of the "exposome". The exposome approach to disease encompasses a lifecourse perspective from conception onwards, and the investigation of the role played by all exposures individuals undergo in their lives. These include social inequalities and psychosocial influences, in addition to chemical, biological and physical exposures. We stress the role played by social differences and inequalities in the course of life as an overarching factor that influences downstream layers (including behaviours). We show that the idea of "lifecourse exposome" is compatible with the current interpretation of Adverse Outcome Pathways in toxicology, and in fact we propose an extension of the concept towards "lifecourse Adverse Outcome Pathways". We propose to merge different research perspectives and promote an encounter between the sociological perspective of "biography" (using Pierre Bourdieu's conceptual framework) and biology, according to the idea of accumulated biological capital of individuals. We also propose to treat social capital (including inequalities) no longer as a confounding factor but as an overarching determinant, perhaps the most important of all because it is the one that influences all other exposures downstream. The importance of early exposures in a lifecourse perspective leads to policy implications, i.e. investing more in the various forms of capital (social, economic, cultural) in early life.
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Affiliation(s)
- Paolo Vineis
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, United Kingdom.
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11
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Alfano R, Plusquin M, Robinson O, Brescianini S, Chatzi L, Keski-Rahkonen P, Handakas E, Maitre L, Nawrot T, Robinot N, Roumeliotaki T, Sassi F, Scalbert A, Vrijheid M, Vineis P, Richiardi L, Zugna D. Cord blood metabolites and rapid postnatal growth as multiple mediators in the prenatal propensity to childhood overweight. Int J Obes (Lond) 2022; 46:1384-1393. [PMID: 35508813 PMCID: PMC9239910 DOI: 10.1038/s41366-022-01108-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND The mechanisms underlying childhood overweight and obesity are poorly known. Here, we investigated the direct and indirect effects of different prenatal exposures on offspring rapid postnatal growth and overweight in childhood, mediated through cord blood metabolites. Additionally, rapid postnatal growth was considered a potential mediator on childhood overweight, alone and sequentially to each metabolite. METHODS Within four European birth-cohorts (N = 375 mother-child dyads), information on seven prenatal exposures (maternal education, pre-pregnancy BMI, weight gain and tobacco smoke during pregnancy, age at delivery, parity, and child gestational age), selected as obesogenic according to a-priori knowledge, was collected. Cord blood levels of 31 metabolites, associated with rapid postnatal growth and/or childhood overweight in a previous study, were measured via liquid-chromatography-quadrupole-time-of-flight-mass-spectrometry. Rapid growth at 12 months and childhood overweight (including obesity) between four and eight years were defined with reference to WHO growth charts. Single mediation analysis was performed using the imputation approach and multiple mediation analysis using the extended-imputation approach. RESULTS Single mediation suggested that the effect of maternal education, pregnancy weight gain, parity, and gestational age on rapid postnatal growth but not on childhood overweight was partly mediated by seven metabolites, including cholestenone, decenoylcarnitine(C10:1), phosphatidylcholine(C34:3), progesterone and three unidentified metabolites; and the effect of gestational age on childhood overweight was mainly mediated by rapid postnatal growth. Multiple mediation suggested that the effect of gestational age on childhood overweight was mainly mediated by rapid postnatal growth and that the mediating role of the metabolites was marginal. CONCLUSION Our findings provide evidence of the involvement of in utero metabolism in the propensity to rapid postnatal growth and of rapid postnatal growth in the propensity to childhood overweight. We did not find evidence supporting a mediating role of the studied metabolites alone between the studied prenatal exposures and the propensity to childhood overweight.
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Affiliation(s)
- Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
- Μedical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, UK.
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Oliver Robinson
- Μedical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, UK
| | - Sonia Brescianini
- Centre for Behavioural Science and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Pekka Keski-Rahkonen
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Evangelos Handakas
- Μedical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, UK
| | - Lea Maitre
- Barcelona Institute of Global Health (ISGlobal), Barcelona, Spain
| | - Tim Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Nivonirina Robinot
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Franco Sassi
- Centre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, UK
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Martine Vrijheid
- Barcelona Institute of Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Paolo Vineis
- Μedical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, UK
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Torino, Italy
| | - Daniela Zugna
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Torino, Italy
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12
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Sun H, Zhao F, Liu Y, Ma T, Jin H, Quan K, Leng B, Zhao J, Yuan X, Li Z, Li F, Kwok LY, Zhang S, Sun Z, Zhang J, Zhang H. Probiotics synergized with conventional regimen in managing Parkinson's disease. NPJ Parkinsons Dis 2022; 8:62. [PMID: 35610236 PMCID: PMC9130297 DOI: 10.1038/s41531-022-00327-6] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 05/05/2022] [Indexed: 12/13/2022] Open
Abstract
Parkinson's disease (PD) is mainly managed by pharmacological therapy (e.g., Benserazide and dopamine agonists). However, prolonged use of these drugs would gradually diminish their dopaminergic effect. Gut dysbiosis was observed in some patients with PD, suggesting close association between the gut microbiome and PD. Probiotics modulate the host's gut microbiota beneficially. A 3-month randomized, double-blind, placebo-controlled clinical trial was conducted to investigate the beneficial effect of probiotic co-administration in patients with PD. Eighty-two PD patients were recruited and randomly divided into probiotic [n = 48; Bifidobacterium animalis subsp. lactis Probio-M8 (Probio-M8), Benserazide, dopamine agonists] and placebo (n = 34; placebo, Benserazide, dopamine agonists) groups. Finally, 45 and 29 patients from Probio-M8 and placebo groups provided complete fecal and serum samples for further omics analysis, respectively. The results showed that Probio-M8 co-administration conferred added benefits by improving sleep quality, alleviating anxiety, and gastrointestinal symptoms. Metagenomic analysis showed that, after the intervention, there were significantly more species-level genome bins (SGBs) of Bifidobacterium animalis, Ruminococcaceae, and Lachnospira, while less Lactobacillus fermentum and Klebsiella oxytoca in Probio-M8 group (P < 0.05). Interestingly, Lactobacillus fermentum correlated positively with the scores of UPDRS-III, HAMA, HAMD-17, and negatively with MMSE. Klebsiella oxytoca correlated negatively with feces hardness. Moreover, co-administering Probio-M8 increased SGBs involved in tryptophan degradation, gamma-aminobutyric acid, short-chain fatty acids, and secondary bile acid biosynthesis, as well as serum acetic acid and dopamine levels (P < 0.05). Taken together, Probio-M8 synergized with the conventional regimen and strengthened the clinical efficacy in managing PD, accompanied by modifications of the host's gut microbiome, gut microbial metabolic potential, and serum metabolites.
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Affiliation(s)
- Hairong Sun
- Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs; Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
- Department of neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, China
| | - Feiyan Zhao
- Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs; Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Yuanyuan Liu
- Department of neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, China
| | - Teng Ma
- Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs; Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Hao Jin
- Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs; Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Keyu Quan
- Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs; Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Bing Leng
- Department of neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, China
| | - Junwu Zhao
- Department of neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, China
| | - Xiaoling Yuan
- Department of Neurology, Liaocheng People's Hospital and Liaocheng Clinical School of Taishan Medical University, Liaocheng, Shandong, 264200, China
| | - Zhenguang Li
- Department of neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, China
| | - Fang Li
- Department of Neurology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, 121000, China
| | - Lai-Yu Kwok
- Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs; Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Shukun Zhang
- Department of Pathology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, China
| | - Zhihong Sun
- Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs; Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Jinbiao Zhang
- Department of neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, China.
| | - Heping Zhang
- Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs; Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.
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13
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Keski-Rahkonen P, Robinson O, Alfano R, Plusquin M, Scalbert A. Commentary: Data Processing Thresholds for Abundance and Sparsity and Missed Biological Insights in an Untargeted Chemical Analysis of Blood Specimens for Exposomics. Front Public Health 2022; 9:755837. [PMID: 35111711 PMCID: PMC8801530 DOI: 10.3389/fpubh.2021.755837] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Pekka Keski-Rahkonen
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Oliver Robinson
- Medical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Rossella Alfano
- Medical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
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14
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Handakas E, Lau CH, Alfano R, Chatzi VL, Plusquin M, Vineis P, Robinson O. A systematic review of metabolomic studies of childhood obesity: State of the evidence for metabolic determinants and consequences. Obes Rev 2022; 23 Suppl 1:e13384. [PMID: 34797026 DOI: 10.1111/obr.13384] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 10/11/2021] [Indexed: 12/19/2022]
Abstract
Childhood obesity has become a global epidemic and carries significant long-term consequences to physical and mental health. Metabolomics, the global profiling of small molecules or metabolites, may reveal the mechanisms of development of childhood obesity and clarify links between obesity and metabolic disease. A systematic review of metabolomic studies of childhood obesity was conducted, following Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, searching across Scopus, Ovid, Web of Science and PubMed databases for articles published from January 1, 2005 to July 8, 2020, retrieving 1271 different records and retaining 41 articles for qualitative synthesis. Study quality was assessed using a modified Newcastle-Ottawa Scale. Thirty-three studies were conducted on blood, six on urine, three on umbilical cord blood, and one on saliva. Thirty studies were primarily cross-sectional, five studies were primarily longitudinal, and seven studies examined effects of weight-loss following a life-style intervention. A consistent metabolic profile of childhood obesity was observed including amino acids (particularly branched chain and aromatic), carnitines, lipids, and steroids. Although the use of metabolomics in childhood obesity research is still developing, the identified metabolites have provided additional insight into the pathogenesis of many obesity-related diseases. Further longitudinal research is needed into the role of metabolic profiles and child obesity risk.
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Affiliation(s)
- Evangelos Handakas
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Chung Ho Lau
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Rossella Alfano
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Vaia Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Michelle Plusquin
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Paolo Vineis
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Oliver Robinson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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