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Scheible K, Beblavy R, Sohn MB, Qui X, Gill AL, Narvaez-Miranda J, Brunner J, Miller RK, Barrett ES, O’Connor TG, Gill SR. Affective Symptoms in Pregnancy are Associated with the Vaginal Microbiome. bioRxiv 2024:2024.04.12.589254. [PMID: 38645042 PMCID: PMC11030453 DOI: 10.1101/2024.04.12.589254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Composition of the vaginal microbiome in pregnancy is associated with adverse maternal, obstetric, and child health outcomes. Identifying the sources of individual differences in the vaginal microbiome is therefore of considerable clinical and public health interest. The current study tested the hypothesis that vaginal microbiome composition during pregnancy is associated with an individual's experience of affective symptoms and stress exposure. Data were based on a prospective longitudinal study of a diverse and medically healthy community sample of 275 mother-infant pairs. Affective symptoms and stress exposure and select measures of associated biomarkers (diurnal salivary cortisol, serum measures of sex hormones) were collected at each trimester; self-report, clinical, and medical records were used to collect detailed data on socio-demographic factors and health behavior, including diet and sleep. Vaginal microbiome samples were collected in the third trimester (34-40 weeks) and characterized by 16S rRNA sequencing. Identified taxa were clustered into three community state types (CST1-3) based on dissimilarity of vaginal microbiota composition. Results indicate that depressive symptoms during pregnancy were reliably associated with individual taxa and CST3 in the third trimester. Prediction of functional potential from 16S taxonomy revealed a differential abundance of metabolic pathways in CST1-3 and individual taxa, including biosynthetic pathways for the neuroactive metabolites, serotonin and dopamine. With the exception of bioavailable testosterone, no significant associations were found between symptoms- and stress-related biomarkers and CSTs. Our results provide further evidence of how prenatal psychological distress during pregnancy alters the maternal-fetal microbiome ecosystem that may be important for understanding maternal and child health outcomes.
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Affiliation(s)
- Kristin Scheible
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Robert Beblavy
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Michael B. Sohn
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Xing Qui
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Ann L. Gill
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Janiret Narvaez-Miranda
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Jessica Brunner
- Department of Obstetrics and Gynecology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Richard K. Miller
- Department of Obstetrics and Gynecology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Emily S. Barrett
- Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA
- Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, New Jersey, USA
| | - Tom G. O’Connor
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Wynne Center for Family Research, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Steven R. Gill
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
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Shipp GM, Wosu AC, Knapp EA, Sauder KA, Dabelea D, Perng W, Zhu Y, Ferrara A, Dunlop AL, Deoni S, Gern J, Porucznik C, Aris IM, Karagas MR, Sathyanarayana S, O’Connor TG, Carroll KN, Wright RJ, Hockett CW, Johnson CC, Meeker JD, Cordero J, Paneth N, Comstock SS, Kerver JM. Maternal Pre-Pregnancy BMI, Breastfeeding, and Child BMI. Pediatrics 2024; 153:e2023061466. [PMID: 38111349 PMCID: PMC10752824 DOI: 10.1542/peds.2023-061466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/29/2023] [Indexed: 12/20/2023] Open
Abstract
OBJECTIVES Breastfeeding practices may protect against offspring obesity, but this relationship is understudied among women with obesity. We describe the associations between breastfeeding practices and child BMI for age z-score (BMIz), stratified by maternal BMI. METHODS We analyzed 8134 dyads from 21 cohorts in the Environmental Influences on Child Health Outcomes Program. Dyads with data for maternal pre-pregnancy BMI, infant feeding practices, and ≥1 child BMI assessment between the ages of 2 and 6 years were included. The associations between breastfeeding practices and continuous child BMIz were assessed by using multivariable linear mixed models. RESULTS Maternal pre-pregnancy BMI category prevalence was underweight: 2.5%, healthy weight: 45.8%, overweight: 26.0%, and obese: 25.6%. Median child ages at the cessation of any breastfeeding and exclusive breastfeeding across the 4 BMI categories were 19, 26, 24, and 17 weeks and 12, 20, 17, and 12 weeks, respectively. Results were in the hypothesized directions for BMI categories. Three months of any breastfeeding was associated with a lower BMIz among children whose mothers were a healthy weight (-0.02 [-0.04 to 0.001], P = .06), overweight (-0.04 [-0.07 to -0.004], P = .03), or obese (-0.04 [-0.07 to -0.006], P = .02). Three months of exclusive breastfeeding was associated with a lower BMIz among children whose mothers were a healthy weight (-0.06 [-0.10 to -0.02], P = .002), overweight (-0.05 [-0.10 to 0.005], P = .07), or obese (-0.08 [-0.12 to -0.03], P = .001). CONCLUSIONS Human milk exposure, regardless of maternal BMI category, was associated with a lower child BMIz in the Environmental Influences on Child Health Outcomes cohorts, supporting breastfeeding recommendations as a potential strategy for decreasing the risk of offspring obesity.
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Affiliation(s)
- Gayle M. Shipp
- Charles Stewart Mott Department of Public Health, Pediatric Public Health Initiative, Michigan State University, Flint, Michigan
| | - Adaeze C. Wosu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Emily A. Knapp
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Dana Dabelea
- Lifecourse Epidemiology and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center
| | - Yeyi Zhu
- Kaiser Permanente Northern California, Oakland, California
| | | | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Sean Deoni
- Advanced Baby Imaging Laboratory, Providence, Rhode Island and Bill & Melinda Gates Foundation, Maternal, Newborn, and Child Health Discovery & Tools, Seattle, Washington
| | - James Gern
- Departments of Pediatrics and Medicine, University of Wisconsin-Madison, Madison, Wisconsin
| | - Christy Porucznik
- Department of Family and Preventive Medicine, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah
| | - Izzuddin M. Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston Massachusetts
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Lebanon, New Hampshire
| | - Sheela Sathyanarayana
- Department of Pediatrics and Adjunct Environmental and Occupational Health Sciences, University of Washington and Seattle Children’s Research Institute, Seattle, Washington
| | - Tom G. O’Connor
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York
| | - Kecia N. Carroll
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Rosalind J. Wright
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Christine W. Hockett
- Avera Research Institute, Sioux Falls, South Dakota
- Department of Pediatrics, University of South Dakota School of Medicine, Vermillion, South Dakota
| | | | - John D. Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - José Cordero
- Affiliation for José Cordero; Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia
| | - Nigel Paneth
- Departments of Epidemiology and Biostatistics
- Pediatrics and Human Development
| | - Sarah S. Comstock
- Food Science and Human Nutrition. Michigan State University, East Lansing, Michigan
| | - Jean M. Kerver
- Departments of Epidemiology and Biostatistics
- Pediatrics and Human Development
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