| Literature DB >> 34196581 |
Jessica C Ezeji1,2, Daven K Sarikonda1,2, Austin Hopperton1,2,3, Hailey L Erkkila1,2, Daniel E Cohen1,2, Sandra P Martinez4, Fabio Cominelli1,2,5,6, Tomomi Kuwahara7, Armand E K Dichosa8, Caryn E Good5, Michael R Jacobs5, Mikhail Khoretonenko9, Alida Veloo10, Alexander Rodriguez-Palacios1,2,6,11.
Abstract
Parabacteroides distasonis is the type strain for the genus Parabacteroides, a group of gram-negative anaerobic bacteria that commonly colonize the gastrointestinal tract of numerous species. First isolated in the 1930s from a clinical specimen as Bacteroides distasonis, the strain was re-classified to form the new genus Parabacteroides in 2006. Currently, the genus consists of 15 species, 10 of which are listed as 'validly named' (P. acidifaciens, P. chartae, P. chinchillae, P. chongii, P. distasonis, P. faecis, P. goldsteinii, P. gordonii, P. johnsonii, and P. merdae) and 5 'not validly named' (P. bouchesdurhonensis, P. massiliensis, P. pacaensis, P. provencensis, and P. timonensis) by the List of Prokaryotic names with Standing in Nomenclature. The Parabacteroides genus has been associated with reports of both beneficial and pathogenic effects in human health. Herein, we review the literature on the history, ecology, diseases, antimicrobial resistance, and genetics of this bacterium, illustrating the effects of P. distasonis on human and animal health.Entities:
Keywords: Crohn’s disease; Parabacteroides distasonis; antimicrobial activity; gut microbiota; inflammatory bowel disease
Mesh:
Substances:
Year: 2021 PMID: 34196581 PMCID: PMC8253142 DOI: 10.1080/19490976.2021.1922241
Source DB: PubMed Journal: Gut Microbes ISSN: 1949-0976
Figure 1.Correlation of PCR identification vs culture isolation from samples that were detected or undetected via qRT-PCR. Eleven Bacteroides and Parabacteroides species detected via qRT-PCR in 400 human surgical wound infection samples or closed abscesses. Target bacteria were detected from 31 samples (8%) via culture vs. 132 samples (33%) via qRT-PCR (p-value < 0.001). For each species, qRT-PCR detected higher counts than culture; this may reflect the detection of DNA of dead organisms by qRT-PCR. Plot created for this manuscript to illustrate the correlation between qRT-PCR and anerobic culture results for Bacteroides species isolated from wound samples using 132 isolates.[33] a) y-axis corresponds to number of isolates detected by qRT-PCR; x-axis corresponds to number of isolates detected by both qRT-PCR and culture. b) y-axis corresponds to number of isolates detected by qRT-PCR; x-axis corresponds to number of isolates detected by culture. c) y-axis corresponds to number of isolates detected by qRT-PCR. Adapted from using data from Tong et al.[33] with permission. Available from Anaerobe and used with permission from Elsevier
Antimicrobial Activity against Parabacteroides distasonis and other species*
*For the intestinal isolates, the study examined 202 Bacteroides and Parabacteroides strains (11.9%, were B. fragilis) collected between 2014 and 2016 in Europe and compared resistance levels between clinical and commensal isolates. Isolates were recovered from feces using Bacteroides Chromogenic Agar (BCA) method and tested via agar dilution for ten antibiotics. For clinical isolates, the study used published data from a 20-year survey of isolates in Europe.[69] These results were similar to previous European clinical Bacteroides antibiotic susceptibility survey, all the variations existed across countries and antibiotics.[83] Adapted from Table 2 from Sóki et al.[83] with permission. Available from Anaerobe and used with permission from Elsevier. Note that that metronidazole, imipenem, cefoxitin, and amoxicillin/clavulanic acid MIC ranges were significantly greater in clinical isolates compared to intestinal isolates. Notably, however, intestinal isolates of P. distasonis are significantly more resistant (p = 0.048 via X2 test) to moxifloxacin than their clinical counterparts.[83]
Examples of studies reporting effects of Parabacteroides distasonis (PD) on intestinal health
| Disease | Study Model | Study Design | Clinical Effect |
|---|---|---|---|
| Familiar Mediterranean Fever[ | Human blood serum and fecal samples. ELISA analysis of varying antibodies that correspond to different bacterial antigens in both FMF patients and healthy controls. DNA extraction was performed with Wizard Genomic DNA Purification kit and sequencing of the 16S rRNA performed with regions V1, V2, V3. | PD, along with other common gut flora, elicited an enhanced nonspecific humoral response to nonspecific antigens present on bacteria in the presence of FMF. | |
| Colorectal cancer[ | Six-week-old male A/J mouse models treated with different chow diets laced with PD. | Increase in colonic IL-10, TGF-β β and tight junction proteins Zonula occludens and occludin expression in mouse models given the PD long term in comparison to the control diet. Results support a protective role of PD in colonic tumorigenesis. | |
| Colorectal cancer[ | 6-w-old male A/J mice fed low-fat (LF) diet, high-fat (HF) diet or a HF + whole freeze-dried PD diet (HF + Pd). Mice received 4 weekly injections of azoxymethane after 1 week on diet. PD analyzed with 16s rRNA gene sequencing. | PD membrane fraction (PdMB) largely suppressed production of pro-inflammatory cytokines, lowered MyD88 and pAkt abundance, and induced apoptosis in colon cancer cell lines, suggesting anti-inflammatory and anti-cancer effects. | |
| Colitis[ | Murine Model of 2,4,6-Trinitrobenzenesulfonic Acid (TNBS)-Induced Colitis based on BALB/C ByJ mice. PD sequenced using V3-V4 16s rRNA regions. | PD reinforces the gut barrier and promotes pro-anti-inflammatory profile. This has a positive association with reducing colitis in tested mouse models. | |
| Colitis[ | DSS-induced BALB/c mice – oral treatment of PD. PD analyzed via 16s rRNA sequencing. | PD membrane components decreases the severity of gut inflammation in the non-immunocompromised mouse models that had induced acute and chronic colitis. Also, increased PD serum antibodies and decreased pro-inflammatory cytokines. | |
| Colorectal carcinogenesis[ | Shotgun metagenomic sequencing analysis between feces of wild-type mice and mice with defects in TGFB signaling. Analysis of microbiota changes prior to colon tumors development. Shotgun metagenomics sequencing was performed using 150 BP, pair-ended sequences through Illumina sequencing. | PD abundance decreased when there were defects in transformation growth factor beta (TGFB) signaling pathway in mouse models. TGFB-deficient mice have more colorectal cancer and lower PD abundance. | |
| Crohn’s Disease and Ulcerative Colitis[ | WT and antibiotic-depleted intestinal microflora mouse models. Pyrosequencing was performed on the variable regions of bacterial 16s rRNA. The sequences were classified with GreenGenes and compared with using QIIME. | Low PD abundance in patients with CD and UC. Higher PD abundance in gut microbiota of the |
Examples of studies reporting effects of Parabacteroides distasonis (PD) on non-intestinal health
| Disease of Interest | Study Model | Study Effect/Type of Association | Effect/PMID |
|---|---|---|---|
| Necrotizing fasciitis (NF)[ | Patient of study diagnosed with HIV. Fournier’s Gangrene Polymicrobial mixture isolated from a patient’s tissue culture. Computerized tomographic imaging | Opportunistic/polymicrobial mixture found in perineal and scrotal abscess included PD. | |
| Oral Health and Patients with Acrylic partial dentures[ | Patients lacking teeth and using prosthetic treatments. Microbial culture using Schaedler K3 solid medium with 5% sheep blood at 37°C after use of active toothpaste containing propolis and tee tree oil-containing hygienic agent versus control group. | PD isolated from some patients before and on day 7 of trial using tested toothpaste. Authors stated that PD was “eliminated” after use of active toothpaste. | |
| Obesity, Hyperlipidemia, hepatic steatosis, Intestinal Gluconeogenesis[ | Obese mouse models modulating gut microbiota. In vivo assays that validate beneficial effects of PD. The bacterial 16s rRNA regions V3 and V4 were sequenced using Illumina HiSeq PE250. The primers F341 and R806 were used. | PD associated with reduced weight gain, decrease of hyperglycemia, and hepatic steatosis in obese and high-fat (HDF)-fed mice. PD is lower in patients that are obese. Improved glucose homeostasis and obesity-related abnormalities. | |
| Gestational diabetes mellitus and gestational diabetes[ | Human, fecal samples | GDM is associated with metabolic disorder phenotypes (obesity, low-grade inflammation, insulin resistance). PD has high abundance in women with GDM. Suggested as part of gut microbiota signature for GDM. | |
| Amyotrophic lateral sclerosis (ALS)[ | ALS-prone Sod1 transgenic (Sod1-Tg) mouse models. 16s rDNA sequencing was performed on region V4 using a Illumina MiSeq kit with 2 × 250 BP pair-ended sequencing. | PD reportedly exacerbates ALS symptoms whereas other bacteria such as | |
| Multiple Sclerosis[ | Germ-free mouse models. | PD was of less abundance in multiple sclerosis patients. However when introduced to mouse model. PD stimulated anti-inflammatory IL-10-expressing human CD4+ CD25 + T cells and IL-10+ FoxP3+ Tregs in mouse models. | |
| Ankylosing spondylitis[ | Fecal microbial metagenomic analysis of patients. | PD along with other microbiota found in Ankylosing spondylitis (AS) patients. May be a trigger of autoimmunity via molecular mimicry. | |
| Alopecia Areata[ | 16S rRNA sequencing of stool samples. | Alopecia areata is T-cell mediated autoimmune disease and gut microbiota has been identified as key modulator of this disease. PD could be used as potential diagnostic tools due to its enriched presence in stool samples. | |
| Autism spectrum disorders[ | Metagenomic analysis of fecal specimens of children. | There were decreases in the average abundance of gut microbiota in children with autism spectrum disorder (ASD), including PD. Gut microbiota can be a neurometabolic signature for ASD transcriptional and metabolomic activity. |
Figure 2.Protein phylogram of 155 complete genomes of the . The pipeline for genomic phylograms is described in detail based on information from PATRIC, the Pathosystems Resource Integration Center, https://docs.patricbrc.org. In short, the order-level pre-built trees in PATRIC are constructed by an automated pipeline that begins with amino acid sequence files for each genome. For each order-level tree the genomes from that order are used along with a small set of potential outgroup genomes. Branch values are not bootstrap values, which can be overly optimistic for long genomes. Instead, trees are built from random samples of 50% of the homology groups used for the main tree (gene-wise jackknifing). One hundred of these 50% gene-wise jackknife trees are made using FastTree, and the support values shown indicate the number of times a particular branch was observed in the support trees. As of January 12, 2021, there were 133 P. distasonis genomes available, of which 8 are complete (pie charts).[131]