Literature DB >> 25283478

Intestinal colonization by a Lachnospiraceae bacterium contributes to the development of diabetes in obese mice.

Keishi Kameyama1, Kikuji Itoh.   

Abstract

The aim of the present study was to identify bacteria that may contribute to the onset of metabolic dysfunctions. We isolated and identified a candidate bacterium belonging to Lachnospiraceae (strain AJ110941) in the feces of hyperglycemic obese mice. The colonization of germ-free ob/ob mice by AJ110941 induced significant increases in fasting blood glucose levels as well as liver and mesenteric adipose tissue weights, and decreases in plasma insulin levels and HOMA-β values. These results indicated that the specific gut commensal bacterium AJ110941 influenced the development of obesity and diabetes in ob/ob mice with genetic susceptibility for obesity.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25283478      PMCID: PMC4262368          DOI: 10.1264/jsme2.ME14054

Source DB:  PubMed          Journal:  Microbes Environ        ISSN: 1342-6311            Impact factor:   2.912


The gut microbiota has been shown to influence host energy homeostasis, metabolism, and inflammation; thus, microbial communities within the gut are now recognized as an important environmental factor in the onset of obesity and type 2 diabetes (T2D) (5, 7, 12, 14, 23). As a consequence, interest in the development of methods to target gut microbiota as a therapy for T2D is increasing (2, 12, 18, 21). Several studies have conducted metagenomic analyses in an attempt to identify members of the gut microbial community that contribute most significantly to the progression of T2D. Qin et al. performed a metagenomic analysis on fecal samples obtained from 345 Chinese men and women with or without T2D (19). Karlsson et al. also conducted a metagenomic analysis to compare microbial communities in fecal samples collected from 145 European women who had either T2D, impaired glucose metabolism, or were healthy (13). Both of these studies reported that butyrate-producing Roseburia species and Faecalibacterium prauznitzii were rarer in subjects with T2D; however, the identified bacteria that existed in high population in T2D subjects differed between these studies (8). Cani et al. proposed that lipopolysaccharide (LPS), a cell wall component of almost all Gram-negative bacteria, may be a key substance responsible for metabolic endotoxemia, low-grade systemic inflammation, and insulin resistance in mouse models (1, 3). In support of this, a previous study reported that experimental endotoxemia induced adipose inflammation and insulin resistance in human subjects (17). We herein searched for the specific gut commensal bacterium related to metabolic syndrome using the terminal restriction fragment length polymorphism (T-RFLP) analysis of fecal samples from a mouse model of T2D. In this study, a comparison of homozygous db/db (diabetic) with heterozygous db/+ (non-diabetic) mice revealed that a specific fragment of the T-RFLP analysis was present at significantly higher levels in db/db mice than in db/+ mice. Even though ob/ob obese mice gain weight rapidly and show the symptoms of insulin resistance, most of the obese mice do not develop severe hyperglycemia compared with db/db mice (22). However, one of the ob/ob mice in the present study showed an abnormally high fasting blood glucose (FBG) level similar to db/db mice. The specific fragment observed in db/db mice was also the most prominent in the abnormally hyperglycemic ob/ob mouse. We hypothesized that the specific bacterium harboring the fragment may have contributed to the progression of T2D; therefore, we isolated and cultured the bacterium (strain AJ110941). We then determined that colonization by the isolate with the LPS producer E. coli induced hyperglycemia and the accumulation of adipose tissue in the gnotobiotic ob/ob mouse model. All experimental procedures were reviewed and approved by the Animal Care Committee of Ajinomoto Co., Inc. Male 5-week-old homozygous BKS.Cg-Dock7m +/+Leprdb/J (db/db, diabetic) mice, heterozygous control (db/+, non-diabetic) mice, and homozygous B6.V-Lepob/J (ob/ob, obese) mice were obtained from Charles River Japan (Yokohama, Japan). Male 5-week-old germ-free ob/ob mice were obtained from Sankyo Lab Service (Tokyo, Japan). These mice were housed in a controlled environment (on a 12-h light/dark cycle with lights turning off at 19:00) with free access to standard chow CRF-1 (Oriental Yeast, Tokyo, Japan) and water and kept in specific pathogen-free (SPF) or germfree/gnotobiotic conditions throughout the experimental period. Fresh feces and blood were collected from 5- and 11-week-old mice after fasting for 16 h. Blood glucose (FBG) levels were determined using DRI-CHEM 7000V (Fujifilm, Tokyo, Japan). Plasma insulin levels were determined using an ultrasensitive mouse insulin kit (Morinaga Institute of Biological Science, Yokohama, Japan). Plasma glucagon levels were determined using the Glucagon ELISA Kit Wako (Wako Pure Chemical Industries, Osaka, Japan). Insulin resistance (HOMA-IR) and β-cell function (HOMA-β) were both calculated on the basis of the fasting levels of plasma glucose and insulin according to the homeostasis model assessment (HOMA) method (16). Fresh fecal samples were collected from mice, added to 99% ethanol, and stored at −30°C. Bacterial DNA was extracted from the fecal samples using the FastDNA spin kit for soil (MP Biomedicals, Santa Ana, CA) using the FastPrep instrument (MP Biomedicals). T-RFLP analyses of the mouse gut microbiota were performed as previously described (10). Two universal primers, 27F labeled with 6-carboxyfluorescein (FAM): 5′-FAM-AGAGTTTGATCCTGGCTCAG-3′ and 1492R: 5′-GGTTACCTTGTTACGACTT-3′ were used in PCR to amplify the 16S rRNA gene coding region. Purified PCR products of the 16S rRNA gene were digested with MspI (Takara Bio, Otsu, Japan). To isolate and culture the bacterium, fresh feces were collected and immediately weighed and transferred to an anaerobic chamber. The feces were homogenized with a 50-fold volume (v/w) of an anaerobic diluent, serially diluted, and then plated on Eggerth-Gagnon (EG) agar plates (11). The agar plates were incubated at 37°C for 4 d in the anaerobic chamber. All of the colonies were identified by their fragment size, and a target colony with a fragment size of 282 bp was then selected. The colony was passaged onto new EG agar plates, and the bacterial purity of the isolate was ensured by re-streaking and microscopic observations. The 16S rRNA gene sequence of the isolated bacterium was determined as previously described (15). The sequence was assembled using GENETYX version 7 (GENETYX, Tokyo, Japan). The identification and phylogenic tree analysis of the 16S rRNA gene sequence were carried out using the Ribosomal Database Project (RDP) (6). When the mice were 8 weeks old, germ-free ob/ob mice were separated into 3 groups for the germ-free/gnotobiotic experiment: Group-1 (n=4), germ-free; Group-2 (n=4), colonization by the non-pathogenic Escherichia coli strain E-17, which had been isolated from SPF mice; Group-3 (n=4), colonization by AJ110941 with E. coli E-17. Groups-2 and -3 were then orally inoculated with E. coli E-17 or AJ110941 with E. coli E-17 (approximately 1×108 cells suspended in anaerobic PBS, respectively). Group-1 was orally administered PBS only. These mice were maintained under the germ-free or gnotobiotic conditions for 8 weeks. We compared differences in gut microbiota patterns between db/+ and db/db mice. Hyperglycemia was observed in 11-week-old, but not in 5-week-old mice (Fig. S1). The 282 bp fragment was significantly higher in db/db than db/+ mice at both 5 and 11 weeks old (Fig. S2). We then evaluated the presence of the 282 bp fragment in another metabolic syndrome model, the ob/ob mouse. The highest FBG level observed among all ob/ob mice was in Mouse Number 4 (Fig. S3). The 282 bp fragment was also more prominent in hyperglycemic Mouse Number 4 than in the normal glycemic ob/ob mouse at both 5 and 11 weeks old (Fig. S4). Based on these db/db and ob/ob mice results, we focused on this 282 bp fragment bacteria. We isolated a colony harboring the 282 bp fragment and established an axenic strain (strain AJ110941). The isolate was determined to be closely related to the genus Anaerostipes in the family Lachnospiraceae (Fig. 1).
Fig. 1

Phylogenetic tree based on the 16S rRNA gene constructed by Weighbor, the weighted neighbor-joining tree building algorithm, showing AJ110941 and other strains of the family Lachnospiraceae. Clostridium perfringens ATCC13124T was used as an outgroup. The numbers close to the nodes represent bootstrap values (n=100 replicates). The scale bar represents 0.05 substitutions per nucleotide position.

We then generated gnotobiotic ob/ob mice colonized by AJ110941 with E. coli. Eight weeks after the inoculation, the cecum, liver, adipose tissue, and blood were collected after a 16-h fast. The gut microbiota of the cecal contents from the three groups was determined by T-RFLP analysis. No PCR amplicon was detected in Group-1. Only a single fragment (488 bp) that corresponded to E. coli was detected in Group-2. Only two fragments (282 bp and 488 bp) were detected in Group-3. These results clearly indicated that germ-free or gnotobiotic conditions were maintained during the experimental period. The weights of the liver and mesenteric adipose tissue significantly increased in Group-3, whereas no significant difference was observed in body weights between the three groups. FBG and plasma glucagon levels were significantly higher in Group-3, while plasma insulin levels were significantly lower. On the other hand, no significant differences were observed in these parameters between Groups-1 and -2. The homeostasis model assessment was calculated from FBG and plasma insulin levels as an index of insulin resistance (HOMA-IR) and pancreatic β cell function (HOMA-β). HOMA-β was significantly lower in Group-3, whereas no significant differences were noted in HOMA-IR between the three groups (Table 1). These results suggested that colonization by AJ110941 may have promoted the dysfunction of pancreatic β-cells.
Table 1

Phenotypes of germ-free and gnotobiotic ob/ob mice

Group-1Group-2Group-3
Body weight without the caecum (g)58.10 ± 5.98a61.75 ± 4.29a63.48 ± 10.37a
Cecum (% of body weight)11.63 ± 4.89a12.88 ± 1.94a4.47 ± 0.93b
Liver (% of body weight without the cecum)6.91 ± 0.66a7.29 ± 1.83a9.70 ± 0.46b
Mesenteric adipose tissue (% of body weight without the cecum)1.64 ± 0.46a1.81 ± 0.39a2.63 ± 0.30b
Fasting blood glucose (mg dL−1)216.5 ± 113.6a286.5 ± 54.1ab433.25 ± 65.4b
Fasting plasma insulin (μU mL−1)339.7 ± 46.44a299.8 ± 105.0a159.4 ± 50.9b
Fasting plasma glucagon (pg mL−1)179.9 ± 43.0a324.2 ± 42.4a529.0 ± 18.3b
HOMA-IR132.5 ± 23.3a187.5 ± 70.6a184.4 ± 64.1a
HOMA-β1350.4 ± 468.9a638.5 ± 411.9ab141.7 ± 40.7b

Group-1: germ-free, Group-2: colonization by E. coli, Group-3: colonization by AJ110941 with E. coli. Data are expressed as means±SD. Values not sharing a common letter are significantly different at p<0.05 by the Tukey–Kramer multiple comparisons test (n=4 per group) using the JMP 10.0.0 statistical software package (SAS Institute, Cary, NC).

Therefore, AJ110941 should be regarded as one of the important causative gut bacteria for the induction of T2D. A previous study reported that the relative abundance of the taxonomic family Lachnospiraceae was increased by early-life subtherapeutic antibiotic treatments in an obese mouse model (4). Additionally, a metagenomic study indicated that the taxonomic family Lachnospiraceae may be associated with T2D (19). However, it remains unclear whether bacteria belonging to the family Lachnospiraceae actually affect obesity and FBG levels in vivo. Therefore, we generated gnotobiotic ob/ob mice colonized by AJ110941 with E. coli to reveal a possible causal relationship. In a preliminary examination, we microscopically observed that AJ110941 did not singly colonize the intestinal tract of ob/ob germ-free mice. E. coli, which is a facultative anaerobe, may be needed to maintain an oxygen-free environment in the intestinal tract because AJ110941 needs strict anaerobic conditions for growth. In our study, a mono-association with the LPS producer E. coli induced neither hyperglycemia nor the accumulation of adipose tissues. In contrast, LPS derived from Gram-negative bacteria in the gastrointestinal tract was previously identified as one of the most important factors inducing the development of T2D (1, 3). Our results indicated that the presence of LPS in the intestinal tract was necessary, but not sufficient for the pathogenesis of diabetes. We speculated that AJ110941 may have assisted with the translocation of LPS into the blood from the intestinal tract. We are currently investigating the effects of AJ110941 on LPS translocation in in vitro/vivo models. Regarding the particular gut bacterium involved in metabolic syndrome, Methanobrevibacter smithii and Bacteroides thetaiotaomicron were previously shown to enhance host energy storage in di-associated mice (20). Furthermore, Fei and Zhao reported that the strain Enterobacter cloacae B29, which was isolated from an obese human subject, induced obesity and insulin resistance accompanied by serum endotoxemia in mono-associated mice (9). This is the first study to have successfully identified a specific Lachnospiraceae bacterium involved in metabolic disorders. Future studies are needed to elucidate the molecular mechanisms underlying the adverse effects of AJ110941 on glucose and lipid metabolism in mouse models. It remains unclear whether AJ110941 or its closely-related species inhabits the human intestinal tract. We intend to perform a preliminary epidemiological study on obese and diabetic subjects to address this question. The 16S rRNA gene sequence of the isolated bacterium (strain AJ110941) is available in the DDBJ/EMBL/GenBank databases under the accession number AB861470.
  23 in total

1.  Molecular analysis of fecal microbiota in elderly individuals using 16S rDNA library and T-RFLP.

Authors:  Hidenori Hayashi; Mitsuo Sakamoto; Maki Kitahara; Yoshimi Benno
Journal:  Microbiol Immunol       Date:  2003       Impact factor: 1.955

2.  Genomics: A gut prediction.

Authors:  Willem M de Vos; Max Nieuwdorp
Journal:  Nature       Date:  2013-05-29       Impact factor: 49.962

Review 3.  Pathways in microbe-induced obesity.

Authors:  Laura M Cox; Martin J Blaser
Journal:  Cell Metab       Date:  2013-06-04       Impact factor: 27.287

Review 4.  Nutritionally induced insulin resistance and receptor defect leading to beta-cell failure in animal models.

Authors:  E Shafrir; E Ziv; L Mosthaf
Journal:  Ann N Y Acad Sci       Date:  1999-11-18       Impact factor: 5.691

Review 5.  Probiotics as potential biotherapeutics in the management of type 2 diabetes - prospects and perspectives.

Authors:  Harsh Panwar; Hogarehalli Mallappa Rashmi; Virender Kumar Batish; Sunita Grover
Journal:  Diabetes Metab Res Rev       Date:  2013-02       Impact factor: 4.876

6.  Gut metagenome in European women with normal, impaired and diabetic glucose control.

Authors:  Fredrik H Karlsson; Valentina Tremaroli; Intawat Nookaew; Göran Bergström; Carl Johan Behre; Björn Fagerberg; Jens Nielsen; Fredrik Bäckhed
Journal:  Nature       Date:  2013-05-29       Impact factor: 49.962

7.  Richness of human gut microbiome correlates with metabolic markers.

Authors:  Emmanuelle Le Chatelier; Trine Nielsen; Junjie Qin; Edi Prifti; Falk Hildebrand; Gwen Falony; Mathieu Almeida; Manimozhiyan Arumugam; Jean-Michel Batto; Sean Kennedy; Pierre Leonard; Junhua Li; Kristoffer Burgdorf; Niels Grarup; Torben Jørgensen; Ivan Brandslund; Henrik Bjørn Nielsen; Agnieszka S Juncker; Marcelo Bertalan; Florence Levenez; Nicolas Pons; Simon Rasmussen; Shinichi Sunagawa; Julien Tap; Sebastian Tims; Erwin G Zoetendal; Søren Brunak; Karine Clément; Joël Doré; Michiel Kleerebezem; Karsten Kristiansen; Pierre Renault; Thomas Sicheritz-Ponten; Willem M de Vos; Jean-Daniel Zucker; Jeroen Raes; Torben Hansen; Peer Bork; Jun Wang; S Dusko Ehrlich; Oluf Pedersen
Journal:  Nature       Date:  2013-08-29       Impact factor: 49.962

8.  Characterization of clostridia isolated from faeces of limited flora mice and their effect on caecal size when associated with germ-free mice.

Authors:  K Itoh; T Mitsuoka
Journal:  Lab Anim       Date:  1985-04       Impact factor: 2.471

9.  An opportunistic pathogen isolated from the gut of an obese human causes obesity in germfree mice.

Authors:  Na Fei; Liping Zhao
Journal:  ISME J       Date:  2012-12-13       Impact factor: 10.302

10.  Ribosomal Database Project: data and tools for high throughput rRNA analysis.

Authors:  James R Cole; Qiong Wang; Jordan A Fish; Benli Chai; Donna M McGarrell; Yanni Sun; C Titus Brown; Andrea Porras-Alfaro; Cheryl R Kuske; James M Tiedje
Journal:  Nucleic Acids Res       Date:  2013-11-27       Impact factor: 16.971

View more
  108 in total

1.  Microbial Diversity and Composition Is Associated with Patient-Reported Toxicity during Chemoradiation Therapy for Cervical Cancer.

Authors:  Aparna Mitra; Greyson Willis Grossman Biegert; Andrea Y Delgado; Tatiana V Karpinets; Travis N Solley; Melissa P Mezzari; Kyoko Yoshida-Court; Joe F Petrosino; Megan D Mikkelson; Lilie Lin; Patricia Eifel; Jianhua Zhang; Lois M Ramondetta; Anuja Jhingran; Travis T Sims; Kathleen Schmeler; Pablo Okhuysen; Lauren E Colbert; Ann H Klopp
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-01-25       Impact factor: 7.038

2.  Temporal and region-specific effects of sleep fragmentation on gut microbiota and intestinal morphology in Sprague Dawley rats.

Authors:  Judy Triplett; David Ellis; Amber Braddock; Erin Roberts; Katherine Ingram; Eric Perez; Amanda Short; Dominique Brown; Victoria Hutzley; Chelsey Webb; Armando Soto; Victor Chan
Journal:  Gut Microbes       Date:  2020-01-10

3.  Colonic Mucosal Bacteria Are Associated with Inter-Individual Variability in Serum Carotenoid Concentrations.

Authors:  Zora Djuric; Christine M Bassis; Melissa A Plegue; Jianwei Ren; Rena Chan; ElKhansa Sidahmed; D Kim Turgeon; Mack T Ruffin; Ikuko Kato; Ananda Sen
Journal:  J Acad Nutr Diet       Date:  2017-12-21       Impact factor: 4.910

Review 4.  Select Polyphenol-Rich Berry Consumption to Defer or Deter Diabetes and Diabetes-Related Complications.

Authors:  Ahsan Hameed; Mauro Galli; Edyta Adamska-Patruno; Adam Krętowski; Michal Ciborowski
Journal:  Nutrients       Date:  2020-08-21       Impact factor: 5.717

5.  Diet, Genetics, and the Gut Microbiome Drive Dynamic Changes in Plasma Metabolites.

Authors:  Shiho Fujisaka; Julian Avila-Pacheco; Marion Soto; Aleksandar Kostic; Jonathan M Dreyfuss; Hui Pan; Siegfried Ussar; Emrah Altindis; Ning Li; Lynn Bry; Clary B Clish; C Ronald Kahn
Journal:  Cell Rep       Date:  2018-03-13       Impact factor: 9.423

Review 6.  Western diets, gut dysbiosis, and metabolic diseases: Are they linked?

Authors:  Kristina B Martinez; Vanessa Leone; Eugene B Chang
Journal:  Gut Microbes       Date:  2017-01-06

7.  Study of the diversity and short-chain fatty acids production by the bacterial community in overweight and obese Mexican children.

Authors:  S Murugesan; M Ulloa-Martínez; H Martínez-Rojano; F M Galván-Rodríguez; C Miranda-Brito; M C Romano; A Piña-Escobedo; M L Pizano-Zárate; C Hoyo-Vadillo; J García-Mena
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-03-12       Impact factor: 3.267

8.  Roles of Birth Mode and Infant Gut Microbiota in Intergenerational Transmission of Overweight and Obesity From Mother to Offspring.

Authors:  Hein M Tun; Sarah L Bridgman; Radha Chari; Catherine J Field; David S Guttman; Allan B Becker; Piush J Mandhane; Stuart E Turvey; Padmaja Subbarao; Malcolm R Sears; James A Scott; Anita L Kozyrskyj
Journal:  JAMA Pediatr       Date:  2018-04-01       Impact factor: 16.193

9.  High dietary salt-induced dendritic cell activation underlies microbial dysbiosis-associated hypertension.

Authors:  Jane F Ferguson; Luul A Aden; Natalia R Barbaro; Justin P Van Beusecum; Liang Xiao; Alan J Simmons; Cassandra Warden; Lejla Pasic; Lauren E Himmel; Mary K Washington; Frank L Revetta; Shilin Zhao; Shivani Kumaresan; Matthew B Scholz; Zhengzheng Tang; Guanhua Chen; Muredach P Reilly; Annet Kirabo
Journal:  JCI Insight       Date:  2019-06-04

10.  Comparison of the gut microbiome composition among individuals with acute or long-standing spinal cord injury vs. able-bodied controls.

Authors:  Jia Li; William Van Der Pol; Mualla Eraslan; Amie McLain; Hatice Cetin; Baris Cetin; Casey Morrow; Tiffany Carson; Ceren Yarar-Fisher
Journal:  J Spinal Cord Med       Date:  2020-06-04       Impact factor: 1.985

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.