Obesity Alters the Microbial Community Profile in Korean Adolescents

Hu, Hae‐Jin; Park, Sin‐Gi; Jang, Han Byul; Choi, Min-Kyu; Park, Kyung-Hee; Kang, Jae Heon; Park, Sang Ick; Lee, Hye-Ja; Cho, Seung-Hak

doi:10.1371/journal.pone.0134333

Cited by 133 publications

(126 citation statements)

References 44 publications

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“…For this study, data were obtained from the Korean Children-Adolescents Study (KoCAS) conducted by the Korea National Institute of Health (KNIH) [4,21]. A total of 135 volunteers on collection of stool samples, aged 13-16 years, including those with severe obesity, were recruited from Seoul and Kyunggi Province in 2012.…”

Section: Study Participantsmentioning

confidence: 99%

“…DNA was extracted using a QIAamp DNA Stool kit (Qiagen, Valencia, CA), and the 16S rRNA gene fragments were amplified. The following barcoded primers were designed to target the hypervariable regions (V1 to V3) within the 16S rRNA gene as described previously [4]. The quality of the PCR product was assessed using a Gel Doc system (Bio-Rad, Hercules, CA, USA), and the amplified products were purified using a QIAquick PCR Purification Kit (Qiagen, Valencia, CA, USA).…”

Section: Isolation Of Fecal Dna and Pyrosequencing Of 16s Rrnamentioning

confidence: 99%

“…As reported previously [4], the number of OTUs was determined by clustering the sequences from each sample using a 97% sequence identity cutoff [23,24] using the QIIME software (v. 1.8.0). Taxonomic abundance was assessed using RDP Classifier v. 1.1 with a confidence threshold of 0.8 derived from the pre-processed reads for each sample.…”

Section: Determination Of Operational Taxonomic Units and Taxonomic Cmentioning

confidence: 99%

“…As reported previously [4], we calculated the number of OTUs to examine the diversity of the gut microbiota based on an average of 8,846 reads which covered each sample. The mean number of OTUs was 356 ± 140 (range, 105-876) and the number of OTUs between normal and obese individuals (Mann-Whitney U test, p = 0.072) had no significant difference.…”

Section: Fecal Microbial Composition According To Dietary Pattern Groupmentioning

confidence: 99%

“…The gut is home to trillions of microbes, and plays a major role in energy metabolism and the immune system [2,3]. Several studies in animal models and humans have suggested that the gut microbiota is linked to complex disease phenotypes such as obesity and insulin resistance [4,5]. A balanced gut microbiota composition confers benefit to the host, whereas microbial dysbiosis is implicated in various diseases, including obesity, T2D, and CVD.…”

Section: Introductionmentioning

confidence: 99%

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Association of dietary patterns with the fecal microbiota in Korean adolescents

et al. 2017

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Background: The gut microbiota has emerged as an important environmental factor associated with obesity, type 2 diabetes, and cardiovascular disease, through its interactions with dietary factors. Therefore, we analyzed the composition of the fecal microbiota and levels of biochemical markers related to metabolic disease according to dietary pattern in Korean adolescents. Methods: We collected fecal samples from 112 student subjects aged 13-16 years with sufficient information available regarding clinical biomarkers and diet, and performed 16S rRNA targeted gene sequencing. Results: Regarding bacterial composition according to taxonomic rank, we found that traditional dietary patterns enriched in plant-based and fermented foods were associated with higher proportions of Bacteroides (Bacteroidaceae) and Bifidobacterium (Bifidobacteriaceae-Actinobacteria) and a lower proportion of Prevotella (Prevotellaceae) relative to modified Western dietary patterns (a greater proportion of animal-based foods). Specifically, the proportion of Bacteroides (Bacteroidaceae) was associated with intake of plant-based nutrients such as fiber; however, that of Prevotella (Prevotellaceae) was negatively associated with these factors. Additionally, we observed that the increase of prevotella (Prevotellaceae) and decrease of Bacteroides (Bacteroidaceae) and Ruminococcaceae had a higher risk of obesity. We also found that the traditional dietary pattern was negatively associated with general and central adiposity and levels of clinical biomarkers, including AST, ALT, total cholesterol, triglyceride, hs-CRP, insulin, and HOMA-IR, whereas the positive associations were found for a modified Western dietary pattern.

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Section: Study Participantsmentioning

confidence: 99%

Section: Isolation Of Fecal Dna and Pyrosequencing Of 16s Rrnamentioning

confidence: 99%

Section: Determination Of Operational Taxonomic Units and Taxonomic Cmentioning

confidence: 99%

Section: Fecal Microbial Composition According To Dietary Pattern Groupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Association of dietary patterns with the fecal microbiota in Korean adolescents

et al. 2017

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Inter‐ and Transgenerational Effects of Paternal Exposure to Inorganic Arsenic

Gong

Xue

et al. 2021

Advanced Science

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The rise of metabolic disorders in modern times is mainly attributed to the environment. However, heritable effects of environmental chemicals on mammalian offsprings' metabolic health are unclear. Inorganic arsenic (iAs) is the top chemical on the Agency for Toxic Substances and Disease Registry priority list of hazardous substances. Here, we assess cross‐generational effects of iAs in an exclusive male‐lineage transmission paradigm. The exposure of male mice to 250 ppb iAs causes glucose intolerance and hepatic insulin resistance in F1 females, but not males, without affecting body weight. Hepatic expression of glucose metabolic genes, glucose output, and insulin signaling are disrupted in F1 females. Inhibition of the glucose 6‐phosphatase complex masks the intergenerational effect of iAs, demonstrating a causative role of hepatic glucose production. F2 offspring from grandpaternal iAs exposure show temporary growth retardation at an early age, which diminishes in adults. However, reduced adiposity persists into middle age and is associated with altered gut microbiome and increased brown adipose thermogenesis. In contrast, F3 offspring of the male‐lineage iAs exposure show increased adiposity, especially on a high‐calorie diet. These findings have unveiled sex‐ and generation‐specific heritable effects of iAs on metabolic physiology, which has broad implications in understanding gene‐environment interactions.

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Engineering the Gut Microbiome for Treatment of Obesity: A Review of Current Understanding and Progress

Lim

Lee

Ooi

2020

Biotechnology Journal

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Obesity is a complex, multifactorial disease that is increasing in prevalence despite extensive research and efforts to curb it. Over the last decade, gut microbiome has emerged as an important contributor to the pathogenesis of obesity. Microbiome profile is altered in obese phenotype and the causative role of microbiome in obesity is demonstrated in fecal microbiota transplantation studies. Herein, recent evidences supporting the role of gut microbiome in obesity and the current therapies designed to engineer gut microbiome for treatment of obesity will be reviewed. The microbial enterotypes associated with obesity is outlined, and the gut microbiota-driven metabolism and low-grade inflammation linking gut microbiome and obesity is examined. How the different intrinsic and extrinsic factors such as host genetics, mode of childbirth delivery, diet, lifestyle habits and use of antibiotics influence the composition of the gut microbiome in the development of obesity is evaluated. Also, the efficacy of current microbiome-based therapies in the forms of prebiotics, probiotics and engineered microbes that are used to manipulate gut microbiome in treating obesity is discussed. 1. Gut Microbiome in Obesity The worldwide prevalence of obesity (Body mass index, BMI ≥30 kg m −2) increased from 3.2% to 10.8% in men and from 6.4% to 14.9% in women over the last 4 decades. [1] Obesity is a complex disease that is caused by multiple factors, namely genetics, excessive caloric intake, sedentary lifestyle, socioeconomic status, poor sleep quality, parental weight, and the environment. [2] Obesity increases the risk of many diseases,

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Obesity Alters the Microbial Community Profile in Korean Adolescents

Cited by 133 publications

References 44 publications

Association of dietary patterns with the fecal microbiota in Korean adolescents

Association of dietary patterns with the fecal microbiota in Korean adolescents

Inter‐ and Transgenerational Effects of Paternal Exposure to Inorganic Arsenic

Engineering the Gut Microbiome for Treatment of Obesity: A Review of Current Understanding and Progress

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