Abstract
This study aimed to review the existing literature to investigate the potential link between early-life antibiotic use and being overweight or obese in children. PubMed, Web of Science, Embase, Google Scholar, and Cochrane Library were searched to identify studies published until August 2021 that assessed the relationship between early-childhood antibiotic use and measures of body mass index. The studies included children aged 0-18 years. Only cohort studies were taken into consideration. Studies published in languages other than English were excluded. Antibiotic usage in early life may increase the risk of obesity in children and the addition of yeast probiotics, such as Saccharomyces boulardii CNCM I 745, to antibiotic prescription can serve as a potential option to mitigate this risk.
Keywords: overweight, obesity, gut microbiome, children, antibiotics
Introduction and background
Obesity is a complicated disease involving the interplay between biological, developmental, environmental, behavioral, and genetic variables, leading to an energy imbalance and the accumulation of extra adipose tissue [1,2]. The worldwide prevalence of obesity more than doubled between 1990 and 2015, and its rates have risen dramatically in recent years owing to a global shift toward an obesogenic environment [3-5].
In many countries, obesity in children is rising faster than in adults [3]. Approximately 10% of school-going children worldwide aged 5-17 are either obese or overweight, with a prevalence ranging from 30% in the United States to less than 2% in Sub-Saharan Africa. According to 2016 estimates, obesity has grown 10-fold, from 11 million to 124 million, among school-going children and adolescents in only three decades [4,5]. Childhood obesity can elevate the risk of morbidity later in life, regardless of whether it continues into adulthood. Hypertension, type 2 diabetes, dyslipidemia, left ventricular hypertrophy, non-alcoholic steatohepatitis, obstructive sleep apnea, and orthopedic and psychological issues are all associated with pediatric obesity [1,5].
In India, stunting and underweight exist alongside overweight and obesity in children, creating a dietary conundrum. The prevalence of stunting, wasting, and being underweight in children aged five years was found to be 38%, 21%, and 36%, respectively, in the National Family Health Survey-4 (2015-2016). According to the study, 2% of Indian children under the age of five years were overweight [5]. The prevalence of overweight/obesity among adolescent Indian children increased from 9.8% to 11.7% between 2006 and 2009 [6]. Lobstein and Jackson-Leach predicted India will have 17 million obese children by 2025; this tendency has been documented in both urban and rural regions [5].
In addition to genetic and environmental variables, gut microbiota plays an essential role in the development of obesity. Gut microbiota dysbiosis, an imbalanced or disordered gut microbial ecology, impacts obesity etiology by affecting energy harvest, nutrition metabolism, inflammatory pathways, and the gut-brain axis [7-10].
Antibiotics significantly contribute to altering the gut microbiota. They are regularly administered to infants and children, and up to 40% of infants are exposed to them either directly or indirectly through maternal intrapartum antibiotic prophylaxis [11]. In the United States, usually, children complete three courses of antibiotics by the age of 2 and 10 courses by the age of 10, with many of these courses prescribed for viral illnesses and, therefore, providing no therapeutic benefit [11,12]. From 2000 to 2015, India’s antibiotic consumption increased by 103%, making it the highest among low- and middle-income economies [13]. Antibiotics decrease the total diversity of the intestinal microbiota, including the loss of certain key taxa, resulting in metabolic changes, increased vulnerability of the gut to colonization, and the development of bacterial antibiotic resistance [14]. Even short-term or low-dose antibiotic therapy can permanently alter the gut microbiota and affect long-term health consequences [15].
Objective
The key objective of this review was to summarize the research investigating the potential link between antibiotic use and obesity/overweight in children. In addition, we aimed to review the role of probiotics in managing dysbiosis to avoid future adverse effects such as obesity.
Review
For this review, a data search was conducted on PubMed, Web of Science, Embase, Google Scholar, and the Cochrane Library to identify studies published until August 2021 that assess the relationship between early-childhood antibiotic use and the body mass of the child. Search terms such as “antibiotics,” “gut microbiota,” “overweight,” and “obesity” were used. The inclusion criteria included children aged between 0 and 18 years, and only cohort studies and English-language publications were considered. Studies on antibiotics of any kind, used for any duration, any method, or for any reason were recorded. Studies based on children who were extremely malnourished, affected by an underlying disease, born with low birth weight, or who were small for their gestational age were excluded (Figure 1).
Figure 1. Consort flow diagram.
The link between dysbiosis and obesity
The following hypotheses have been proposed to explain how antibiotics contribute to obesity/overweight [16,17]: (1) Gut bacteria’s capacity to absorb energy from indigestible polysaccharides has improved. (2) The gut microbiota that defends against obesity from a metabolic standpoint has reduced. (3) Intestinal defenses and immunity have weakened. (4) Hepatic lipogenesis is altered. (5) Metabolic signaling has changed.
Antibiotic use early in life has been linked to a decrease in the quantity of beneficial gut flora, leading to reduced gut microbial diversity and lower rates of colonization of protective commensal bacteria. An increase in Enterobacteriaceae (phylum Proteobacteria) and a decrease in good bacteria, such as Bifidobacteria and butyrate markers, have been documented. Short-chain fatty acids (SCFA), which have beneficial effects on mammalian energy metabolism, are produced by Bifidobacteria (phylum Actinobacteria) and Lactobacilli (phylum Firmicutes) [16,17].
Antibiotic use has been linked to an increase in Bacteroidetes and Proteobacteria, with some species in these phyla associated with severe infections. Bacteroides spp. may offer some protection against invasive pathogens; however, Bacteroides have also been linked to bloodstream infections and the development of abscesses [17,18].
Bifidobacteria protects against obesity and its metabolic consequences, partially by improving gut barrier function, which decreases metabolic endotoxemia, the abundance of bacterially generated lipopolysaccharides (LPS) in the blood. Once the ratio of Bifidobacteria to Bacteroides gets perturbed, the abundance of barrier function-improving microbes drops and the number of LPS-producing organisms increases [19,20]. LPS in the bloodstream causes inflammation, insulin resistance, and weight gain, and is thought to play a role in the development of obesity and associated diseases, as shown in Figure 2 [21]. Bifidobacteria can enhance metabolic health by reducing LPS leakage from the gut, probably by upregulating tight junction proteins [19-21].
Figure 2. Three-way interactions among the gut microbiota, glucose metabolism, and immune system.
The synthesis of SCFA via colonic fermentation, which involves the anaerobic degradation of food fiber, protein, and peptides, helps the gut bacteria contribute to energy metabolism. SCFAs are bacterial waste products generated to maintain a healthy redox balance in the gut. Acetate, propionate, and butyrate are the most common SCFA species. The Bacteroidetes phylum produces acetate and propionate, whereas the Firmicutes phylum produces butyrate. Body weight, glucose homeostasis, and insulin sensitivity have all been found to benefit from them [17,19-21].
Is There Any Evidence That Antibiotics Have the Potential to Cause Obesity or Weight Gain?
We found 20 observational studies encompassing a total of 1,412,275 participants that allowed us to assess the association between antibiotic exposure before the age of four years and later measurements of body mass or the risk of obesity/overweight in childhood (Table 1). Both prospective and retrospective cohort studies were included in the review. Most studies were conducted in the United States and Europe. The overall exposure window in the studies was 0-48 months of age.
Table 1. Characteristics of 20 cohort studies on the association between antibiotic exposure in early life and the risk of childhood overweight and obesity.
| Study | Year of publication and location | Study design | Number of subjects | Exposure time | Outcome |
| Ajslev et al. [22] | 2011 Denmark | Prospective cohort | 28,354 children from the Danish National birth cohort | Infancy (<6 months) | Antibiotic use during the first 6 months of life led to an increased risk of being overweight among children of normal-weight mothers (odds ratio (OR) = 1.54, 95% confidence interval (CI) = 1.09–2.17) |
| Murphy et al. [23] | 2013 New Zealand | Prospective cohort | 871 European children | Infancy (<12 months) | Antibiotic exposure at <1 year was not associated with any significant differences in the percentage of body fat or body mass index (BMI) z-score at 3, 7, or 11 years in those born small for their gestational age (SGA), non-SGA, or combined groups |
| Azad et al. [24] | 2014 Canada | Prospective cohort | 616 children | Infancy (<12 months) | Infants receiving antibiotics in the first year of their lives were more likely to be overweight later in childhood compared with those who were unexposed (32.4% vs. 18.2% at age 12, p = 0.002) |
| Trasande et al. [25] | 2013 United Kingdom | Prospective cohort | 11,532 children | Infancy (<6 months) | Antibiotic exposure during the earliest time window (<6 months) was consistently associated with increased body mass (+0.105 and +0.083 standard deviation (SD) unit increase in weight-for-length z-scores at 10 and 20 months, p < 0.001 and p = 0.001, respectively) |
| Bailey et al. [26] | 2014 United States | Prospective cohort | 64,580 children | Infancy (<24 months) | Cumulative exposure to antibiotics was associated with later obesity (rate ratio (RR) = 1.11; 95% CI = 1.02–1.21 for four episodes); this effect was stronger for broad-spectrum antibiotics (RR = 1.16; 95% CI = 1.06–1.29) |
| Dawson-Hahn and Lampe [27] | 2015 Washington, United States | Longitudinal birth cohort | 4,938 children | 0–47 months | Antibiotic exposure was associated with overweight development (OR = 1.03, 95% CI = 1.01–1.05). Children had 3% higher odds of overweight development at 48–59 months for each additional course of antibiotics during 0–47 months |
| Saari et al. [28] | 2015 Finland | Prospective cohort | 12,062 children | Infancy (<24 months) | Exposed children were on average heavier than unexposed children (adjusted BMI for age z-score difference in boys was 0.13 SD (95% CI = 0.07–0.19, p = 0.001) and in girls was 0.07 SD (95% CI: 0.01–0.13, p = 0.05) |
| Scott et al. [29] | 2016 United Kingdom | Retrospective cohort | 21,714 children | Infancy (<24 months) | Antibiotic exposure was associated with an increased risk of obesity at 4 years (OR = 1.21, 95% CI = 1.07–1.38). ORs increased with repeated exposure |
| Mbakwa et al. [30] | 2016 Netherlands | Prospective cohort | 979 children | Infancy (<24 months) | Associations with weight z-scores were mainly driven by exposure to broad- (≥2 courses, adj β = 0.11; 95% CI = 0.003–0.22) and narrow-spectrum β-lactams (1 course, adj β = 0.18; 95% CI = 0.005–0.35) during the follow-up period |
| Schwartz et al. [31] | 2016 Baltimore, United States | Longitudinal cohort | 142,824 children | Year before each BMI | A persistent association, which got stronger with increasing age (p < 0.001), was observed. The addition of the progressive association among children with at least three BMIs (n = 79,752) revealed that higher cumulative orders were associated with progressive weight gain; this did not vary by age |
| Gerber et al. [32] | 2016 United States | Retrospective cohort | 38,522 children | Infancy (<6 months) | Antibiotic exposure was not significantly associated with the rate of weight change (0.7%; 95% CI = −0.1%–1.5%; p = 0.07, equivalent to approximately 0.05 kg; 95% CI = −0.004–0.11 kg of added weight gain between the ages of 2 years and 5 years) |
| Li et al. [33] | 2017 United States | Retrospective cohort | 260,556 children | Infancy (<12 months) | After controlling for maternal age, race or ethnic origin, pre-pregnancy BMI, preterm delivery, low birth weight, maternal antibiotic use, and infection during pregnancy, infection without antibiotic use in infancy was associated with an increased risk of childhood obesity compared with controls without infection (OR = 1·25, 95% CI = 1.20–1.29) |
| Ville et al. [34] | 2017 United States | Prospective cohort | 97 Latino children | Infancy (<6 months) | Early antibiotic exposure (before 6 months of age) was independently associated with an increased risk for rapid infant weight gain (OR = 6.42, 95% CI = 1.17–35.06) and obesity at age 2 (OR = 6.15, 95% CI = 1.03–36.70) |
| Rogawski et al. [35] | 2017 Multi-country | Birth cohort study | 1,954 children | 0–6 months | Compared with unexposed children, two or more courses of metronidazole, macrolides, and cephalosporins were associated with adjusted increases in weight for age of 0.24 (95% CI = 0.04–0.43), 0.23 (95% CI = 0.05–0.42), and 0.19 (95% CI = 0.04–0.35) between 6 months to 2 years, respectively |
| Block et al. [36] | 2018 Boston | Multi-institutional national cohort | 362,550 children | <24 months | For children without a complex chronic condition at 5 years, we estimated a higher mean BMI z-score by 0.04 (95% CI = 0.03–0.05) and higher odds of being overweight or obese (OR = 1.05; 95% CI = 1.03–1.07) associated with obtaining any (versus no) antibiotics |
| Stark et al. [37] | 2018 United States | Retrospective cohort | 241,502 children | 0–24 Months | Antibiotic prescriptions were associated with obesity (hazard ratio = 1.26; 95% CI = 1.23–1.28). This association persisted regardless of antibiotic class and strengthened with each additional class of antibiotic prescribed |
| Kelly et al. [38] | 2018 Ireland | Irish National Longitudinal Study of Children | 8,186 children | Infancy | Any antibiotic usage between 2 and 3 years did not predict the risk of being overweight or obese at age 5. Four or more courses of antibiotics between 2 and 3 years were independently associated with obesity at age 5 (OR = 1.6, 95% CI = 1.11–2.31) |
| Aversa et al. [39] | 2020 Olmsted county | Retrospective cohort | 14,572 children | Infancy (<24 months) | Early antibiotic exposure was associated with an increased risk of childhood-onset asthma, allergic rhinitis, atopic dermatitis, celiac disease, overweight, obesity, and attention-deficit hyperactivity disorder (hazard ratios of 1.20–2.89; p < 0.05 for all) |
| Uzan-Yulzari et al. [40] | 2021 Finland | Birth cohort | 12,422 children | 1 month | The cumulative number of antibiotic courses after the neonatal period but during the first 6 years of life was associated with significantly higher BMI z-scores throughout the study period in both boys and girls (p < 0.001) in a hierarchical linear mixed model for repeated measurements |
| Aris et al. [41] | 2021 United States | Retrospective cohort | 183,444 children | 0–48 months | Exposure to any antibiotics at 0–47 months of age (vs. no exposure) was associated with an earlier age (−0.60 months (95% CI = −0.81–−0.39 months) and higher BMI at rebound (β coefficient = 0.02 (95% CI = 0.01–0.03). These associations were the strongest for children with at least four episodes of antibiotic exposure |
Of the 20 studies, 17 had overall measures of association. Among the remaining three studies that involved a total of 299,949 participants, one study had the most participants (260,556 children) and showed that association with infection, but not with antibiotic usage, was linked to an increased risk of childhood obesity.
The 17 studies comprising a total of 1,112,326 participants clearly highlighted that the use of antibiotics was linked to obesity. Antibiotic exposure in early infancy was related to a higher body mass index (BMI) and a higher prevalence of obesity in healthy children, according to these cohort studies.
Aversa et al. demonstrated that antibiotic exposure during childhood was associated with an increased risk of childhood obesity, asthma, allergic rhinitis, atopic dermatitis, celiac disease, and attention-deficit hyperactivity disorder. The hazard ratios were 1.20-2.89, with a p-value <0.05 for all conditions. This study was conducted and published by the Mayo Clinic [39].
Uzan-Yulzari et al. showed that antibiotic exposure during the neonatal phase was linked to a long-term disruption of the gut microbiota, which may cause stunted development in boys during the first six years of their life, whereas antibiotic usage later in childhood was linked to an increase in BMI. In most studies, antibiotic exposure occurred during the first two years of life and was significantly associated with weight gain/obesity [40].
Another recent study by Aris et al. on 0-48-month-old children documented that antibiotic exposure was associated with statistically significant BMI trajectory milestones during infancy and early childhood. These associations were the strongest for children with at least four episodes of antibiotic exposure [41].
Is There Any Treatment Option Available to Prevent the Consequences Associated With Dysbiosis?
Probiotics seem to be a promising option to treat dysbiosis and are well-tolerated upon long-term usage. The World Health Organization defines probiotics as “live microorganisms which when administered in adequate amounts confer a health benefit on the host.” Probiotics are continually used to preserve human intestinal health by improving the equilibrium of internal microbiota. As a result, the number of harmful bacteria that cannot live in acidic environments decreases, whereas helpful bacteria that thrive in such environments multiply, thereby balancing the gut microbiota [42].
Probiotics are available in various forms, the most common being bacterial and yeast probiotics. Only a few of the many available probiotics have scientific merit and global recommendations. Lactobacillus rhamnosus GG is a bacterial probiotic, whereas Saccharomyces boulardii CNCM I 745 is a yeast probiotic. Both have been extensively studied and are recommended as adjunct therapy while managing acute gastroenteritis and antibiotic-associated diarrhea (AAD) in children [43,44].
AAD is characterized by the passage of loose, watery stools three or more times a day following the intake of antibiotics used to treat bacterial illnesses. It affects 5%-30% of patients, either early in the course of antibiotic medication or up to two months after the treatment is completed [44,45]. Although AAD is not evident in every patient, antibiotic intake is still a cause of gut dysbiosis. AAD is the first visual symptom of dysbiosis and both S. boulardii CNCM I 745 and L. rhamnosus GG can be used along with antibiotics for preventing it [46,47].
Probiotics should be administered along with antibiotics and should be continued for a few days after stopping antibiotics to obtain the desired results. However, the concurrent administration of L. rhamnosus GG and antibiotics faces the challenge that the antibiotic may potentially kill the bacterial probiotics. Hence, the two must be administered at least two to four hours apart. On the contrary, a time gap is not required while using S. boulardii CNCM I 745. Further, yeast probiotics are 10 times larger in size than bacteria and can adhere firmly to the epithelial layer of the intestine, precluding the adhesion of any pathogenic bacteria [44,46,47]. S. boulardii CNCM I 745 neither shows resistance to antibiotics nor plays any role in genetic transfer [48].
S. boulardii CNCM I 745 has several established mechanisms of action [46,47]. It shows antitoxic effects against Clostridium difficile toxins A and B, cholera toxin, and Escherichia coli. It can interfere with gut infections either directly or indirectly. For example, it can directly suppress the growth of Salmonella typhimurium, Yersinia enterocolitica, and Aeromonas hemolysin. It can enhance the production of SCFAs, which are depleted during illness, suggesting altered intestinal fermentation. It can decrease mucositis, repair fluid transport routes, promote protein and energy synthesis, or serve as a trophic agent by producing spermine and spermidine, as well as other brush border enzymes that help enterocytes mature. Finally, it can modulate immune responses by acting as a stimulant or by decreasing pro-inflammatory responses. Intestinal secretory immunoglobulin A (IgA) levels may rise because of S. boulardii infection. It is also linked to elevated levels of blood IgG against C. difficile toxins A and B. It may disrupt nuclear factor-κB-mediated signaling pathways, which promote the generation of pro-inflammatory cytokines.
Some clinical studies that used S. boulardii CNCM I 745 along with antibiotics have shown that it helps prevent and manage dysbiosis. Additional details are presented in Table 2.
Table 2. Details of studies performed on Saccharomyces boulardii CNCM I 745 along with antibiotics.
| Study | Year of publication and location | Study title | Study design | Conclusion |
| Selig et al. [48] | 2020, United States | Saccharomyces boulardii CNCM I-745 probiotic does not alter the pharmacokinetics of amoxicillin | A traditional pharmacokinetic study in mice | Pharmacokinetic parameters, such as half-life, the area under the curve, peak concentrations, time to reach maximum concentration, and the elimination rate constant of amoxicillin, did not significantly differ between the probiotic-treated and untreated control groups |
| Kabbani et al. [49] | 2016, United States | A prospective randomized controlled study on the effects of Saccharomyces boulardii CNCM I-745 and amoxicillin-clavulanate or the combination on the gut microbiota of healthy volunteers | Prospective randomized controlled trial, 53 healthy subjects enrolled in the study | Saccharomyces boulardii CNCM I-745 was effective in preventing or reducing antibiotic-associated changes in colonic microbiota when given concomitant with or subsequent to antibiotic therapy |
| Monjaraz et al. [50] | 2021, Mexico | Gut microbiota in Mexican children with acute diarrhea: an observational study | A single-center observational study including 30 children (6 months to 5 years old) | Acute diarrhea was accompanied by significant alterations in the gut microbiota. Saccharomyces boulardii CNCM I-745 treatment may facilitate gut microbiota restoration in children with acute diarrhea, mostly by improving the alpha diversity |
A study of 60 women treated for bacterial vaginosis analyzed the effects of antibiotic therapy alone, concurrently with S. boulardii treatment, or followed by S. boulardii treatment. In the study, 60 women were given metronidazole (3 × 400 mg/day) and ciprofloxacin (2 × 500 mg/day) to treat bacterial vaginosis. Group I received antibiotics for the first and second weeks. Group II received 250 mg S. boulardii tid in addition to antibiotics for weeks one and two. Group III received antibiotics for weeks one and two, followed by 250 mg S. boulardii tid for weeks three and four. Fluorescence in situ hybridization analysis of Carnoy fixated stool cylinders was done from days -90, -60, -30, 7, 14, 28, 42, 56, and 70.
As shown in Figure 3, the main microbial population is drastically reduced (blue line) after two weeks of antibiotic therapy (red area). S. boulardii (red area; red line) provided during antibiotic therapy can mitigate this loss by preserving the microbiome. If S. boulardii is given after antibiotic therapy (green area; green line), it can help the microbial community regenerate more quickly. As a result, a combination of both, with S. boulardii therapy during and after antibiotic treatment, would be ideal. The hypothetical black dotted line drawn from the other lines represents this. The worst-case situation is that no S. boulardii therapy is provided (blue line) (Figure 3).
Figure 3. Generalized scheme of the effects of antibiotic dysbiosis on habitual/essential bacteria and other substantial bacteria.
Although stable enterotypes were seen before treatment, the antibiotics led to the suppression of the habitual/essential (most prevalent) bacteria as well as other significant bacterial groups. If given concurrently with an antibiotic, S. boulardii might reduce the suppression of these bacteria caused by the antibiotic. After receiving antibiotic therapy, S. boulardii dramatically accelerated the return of the natural microbiota. S. boulardii also decreased the number of pre- and post-mismatches in the microbial community. Contrary to what would have happened if S. boulardii had been provided, antibiotic therapy greatly increased population differences (compared to before treatment) [46].
As this is an attempt to present a narrative review of the evidence, there are a few limitations to this review. We only considered cohort studies. Moreover, the age groups and study durations were different. Another important limitation is that we did not focus on any specific antibiotic while including studies in this review. Dosage regimens were different in all cohort studies. Finally, per the evidence, yeast probiotics are superior to bacterial probiotics, but head-to-head studies are very limited. Therefore, for establishing a strong correlation between antibiotics and obesity, we need further larger controlled studies.
Conclusions
Antibiotics are very commonly used in the first few years of a child’s life, and there are many hypotheses linking early antibiotic exposure to childhood obesity. Antibiotics mainly impact the gut microbiota, and this altered gut microbiota increases BMI or obesity later in life. In this review, 17 studies showed an association between antibiotic usage in early life and obesity in later stages of life. Evidence-based yeast probiotics, S. boulardii CNCM I 745 can be adjuvants to antibiotic therapy to modulate the gut microbiota.
The authors have declared financial relationships, which are detailed in the next section.
Sourabh B Sonawale Krishna Chaitanya Veligandla declare(s) employment from Dr. Reddy's Laboratories Ltd. The authors Sourabh B Sonawale and Krishna Chaitanya Veligandla are full-time employees of Dr. Reddy's Laboratories Ltd.
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