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Kozhakhmetov S, Meiirmanova Z, Mukhanbetzhanov N, Jarmukhanov Z, Vinogradova E, Mureyev S, Kozhakhmetova S, Morenko M, Shnaider K, Duisbayeva A, Kushugulova A. Compositional and functional variability of the gut microbiome in children with infantile colic. Sci Rep 2023; 13:9530. [PMID: 37308527 DOI: 10.1038/s41598-023-36641-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 06/07/2023] [Indexed: 06/14/2023] Open
Abstract
The inconsolable crying of a child for no apparent reason at an early age is a source of excitement and anxiety for parents. Previous studies have reported that crying may be caused by discomfort associated with the occupation of the intestines of the newborn by microbiota and its vital activity. We conducted a prospective observational study in which 62 newborns and their mothers were recruited. The study comprised two groups, each consisting of 15 infants with colic and 21 controls. Colic and control groups were vaginally born and exclusively breastfed. Fecal samples from children were collected over time from day 1 to 12 months. Full metagenomic sequencing of fecal samples from children and their mothers was carried out. It was determined that the trajectory of the development of the intestinal microbiome of children with colic was different from the group without colic. In the colic group, a depleted relative abundance of Bifidobacterium and enrichment of Bacteroides Clostridiales was found, while the microbial biodiversity in this group was enriched. Metabolic pathway profiling showed that the non-colic group was enriched by amino acid biosynthetic pathways, while the feces microbiome of the colic group was enriched by glycolysis metabolic pathways that correlated with the Bacteroides taxon. This study shows that infantile colic has a definite relationship with the microbiome structure of infants.
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Affiliation(s)
- Samat Kozhakhmetov
- Laboratory of Microbiome, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, 53 Kabanbay batyr ave., Block S1, Nur-Sultan, Z05H0P9, Republic of Kazakhstan.
| | - Zarina Meiirmanova
- Department of Children's Diseases with Courses in Allergology, Hematology and Endocrinology, NJSC "Astana Medical University", Astana, Z01G6C5, Kazakhstan
| | - Nurislam Mukhanbetzhanov
- Laboratory of Microbiome, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, 53 Kabanbay batyr ave., Block S1, Nur-Sultan, Z05H0P9, Republic of Kazakhstan
| | - Zharkyn Jarmukhanov
- Laboratory of Microbiome, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, 53 Kabanbay batyr ave., Block S1, Nur-Sultan, Z05H0P9, Republic of Kazakhstan
| | - Elizaveta Vinogradova
- Laboratory of Microbiome, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, 53 Kabanbay batyr ave., Block S1, Nur-Sultan, Z05H0P9, Republic of Kazakhstan
| | - Shamil Mureyev
- Laboratory of Microbiome, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, 53 Kabanbay batyr ave., Block S1, Nur-Sultan, Z05H0P9, Republic of Kazakhstan
| | | | - Marina Morenko
- Department of Children's Diseases with Courses in Allergology, Hematology and Endocrinology, NJSC "Astana Medical University", Astana, Z01G6C5, Kazakhstan
| | - Kseniya Shnaider
- Department of Children's Diseases with Courses in Allergology, Hematology and Endocrinology, NJSC "Astana Medical University", Astana, Z01G6C5, Kazakhstan
| | - Arailym Duisbayeva
- Department of Children's Diseases with Courses in Allergology, Hematology and Endocrinology, NJSC "Astana Medical University", Astana, Z01G6C5, Kazakhstan
| | - Almagul Kushugulova
- Laboratory of Microbiome, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, 53 Kabanbay batyr ave., Block S1, Nur-Sultan, Z05H0P9, Republic of Kazakhstan.
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Chouraqui JP, Brancato S, Delmas B, Hanh T. Effectiveness of a starch thickened infant formula with reduced lactose content, probiotics and prebiotics on quality of life and clinical outcome in infants with regurgitation and/or colic. Front Nutr 2023; 10:1164722. [PMID: 37305080 PMCID: PMC10249472 DOI: 10.3389/fnut.2023.1164722] [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: 02/13/2023] [Accepted: 05/09/2023] [Indexed: 06/13/2023] Open
Abstract
Background Regurgitation and colic are quite common in young infants, leading to a reduced quality of life (QoL) and to parental distress. Their management is challenging and aims to effectively reassure and relieve symptoms. This study aimed to assess the effectiveness over 30 days of a starch thickened formula with a reduced lactose content, Limosilactobacillus reuteri (Lactobacillus reuteri) DSM 17938 and FOS/GOS. Methods A real-world prospective multicenter experimental study was conducted in a before-after design within subject. Full term infants 0-5 months with regurgitation or colic or both symptoms and without intercurrent illness were included after parental informed consent and received the studied formula. The primary endpoint was the improvement in QoL using the QUALIN infant's questionnaire. Secondary endpoints were the symptoms outcome and the formula tolerance. Results Of the 101 infants included (age: 6.2 ± 4.3 weeks), 33 had regurgitation, 34 colic and 34 had both. At D30, the QoL score was improved in 75% of infants in per protocol analysis (n = 68; +8.2 ± 13.7; p < 0.001), more in those with colic or both symptoms. Meanwhile, in intention to treat analysis (all p < 0.001), the daily number of regurgitations decreased by 61% and the weekly number of days with colic by 63% while the daily cumulative duration of crying decreased by 82 ± 106 mn. These improvements were observed within the first week by 89 and 76% of parents, respectively. Conclusion The study formula associated with reassurance is shown to be quickly effective in the management of infant's regurgitation or/and colic in routine clinical practice. Clinical trial registration https://clinicaltrials.gov/, identifier NCT04462640.
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Affiliation(s)
- Jean-Pierre Chouraqui
- Pediatric Gastroenterology and Nutrition, University Hospital Grenoble-Alpes, La Tronche, France
| | - Sandra Brancato
- Association Française de Pédiatrie Ambulatoire (AFPA), Brignon, France
| | - Berenice Delmas
- Département Médical Nutrition Infantile, Nestlé France, Issy-les-Moulineaux, France
| | - Thierry Hanh
- Département Médical Nutrition Infantile, Nestlé France, Issy-les-Moulineaux, France
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Chandran D, Warren K, McKeone D, Hicks SD. The Association between Infant Colic and the Multi-Omic Composition of Human Milk. Biomolecules 2023; 13:biom13030559. [PMID: 36979494 PMCID: PMC10046316 DOI: 10.3390/biom13030559] [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: 02/24/2023] [Revised: 03/15/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
Infant colic is a common condition with unclear biologic underpinnings and limited treatment options. We hypothesized that complex molecular networks within human milk (i.e., microbes, micro-ribonucleic acids (miRNAs), cytokines) would contribute to colic risk, while controlling for medical, social, and nutritional variables. This hypothesis was tested in a cohort of 182 breastfed infants, assessed with a modified Infant Colic Scale at 1 month. RNA sequencing was used to interrogate microbial and miRNA features. Luminex assays were used to measure growth factors and cytokines. Milk from mothers of infants with colic (n = 28) displayed higher levels of Staphylococcus (adj. p = 0.038, d = 0.30), miR-224-3p (adj. p = 0.023, d = 0.33), miR-125b-5p (adj. p = 0.028, d = 0.29), let-7a-5p (adj. p = 0.028, d = 0.27), and miR-205-5p (adj. p = 0.029, d = 0.26) compared to milk from non-colic mother-infant dyads (n = 154). Colic symptom severity was directly associated with milk hepatocyte growth factor levels (R = 0.21, p = 0.025). A regression model involving let-7a-5p, miR-29a-3p, and Lactobacillus accurately modeled colic risk (X2 = 16.7, p = 0.001). Molecular factors within human milk may impact colic risk, and provide support for a dysbiotic/inflammatory model of colic pathophysiology.
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Affiliation(s)
- Desirae Chandran
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA 17033, USA
| | - Kaitlyn Warren
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA 17033, USA
| | - Daniel McKeone
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA 17033, USA
| | - Steven D Hicks
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA 17033, USA
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A Multiscale Spatiotemporal Model Including a Switch from Aerobic to Anaerobic Metabolism Reproduces Succession in the Early Infant Gut Microbiota. mSystems 2022; 7:e0044622. [PMID: 36047700 PMCID: PMC9600552 DOI: 10.1128/msystems.00446-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The human intestinal microbiota starts to form immediately after birth and is important for the health of the host. During the first days, facultatively anaerobic bacterial species generally dominate, such as Enterobacteriaceae. These are succeeded by strictly anaerobic species, particularly Bifidobacterium species. An early transition to Bifidobacterium species is associated with health benefits; for example, Bifidobacterium species repress growth of pathogenic competitors and modulate the immune response. Succession to Bifidobacterium is thought to be due to consumption of intracolonic oxygen present in newborns by facultative anaerobes, including Enterobacteriaceae. To study if oxygen depletion suffices for the transition to Bifidobacterium species, here we introduced a multiscale mathematical model that considers metabolism, spatial bacterial population dynamics, and cross-feeding. Using publicly available metabolic network data from the AGORA collection, the model simulates ab initio the competition of strictly and facultatively anaerobic species in a gut-like environment under the influence of lactose and oxygen. The model predicts that individual differences in intracolonic oxygen in newborn infants can explain the observed individual variation in succession to anaerobic species, in particular Bifidobacterium species. Bifidobacterium species became dominant in the model by their use of the bifid shunt, which allows Bifidobacterium to switch to suboptimal yield metabolism with fast growth at high lactose concentrations, as predicted here using flux balance analysis. The computational model thus allows us to test the internal plausibility of hypotheses for bacterial colonization and succession in the infant colon. IMPORTANCE The composition of the infant microbiota has a great impact on infant health, but its controlling factors are still incompletely understood. The frequently dominant anaerobic Bifidobacterium species benefit health, e.g., they can keep harmful competitors under control and modulate the intestinal immune response. Controlling factors could include nutritional composition and intestinal mucus composition, as well as environmental factors, such as antibiotics. We introduce a modeling framework of a metabolically realistic intestinal microbial ecology in which hypothetical scenarios can be tested and compared. We present simulations that suggest that greater levels of intraintestinal oxygenation more strongly delay the dominance of Bifidobacterium species, explaining the observed variety of microbial composition and demonstrating the use of the model for hypothesis generation. The framework allowed us to test a variety of controlling factors, including intestinal mixing and transit time. Future versions will also include detailed modeling of oligosaccharide and mucin metabolism.
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