scholarly journals The gut microbiome of laboratory mice: considerations and best practices for translational research

2021 ◽  
Author(s):  
Aaron C. Ericsson ◽  
Craig L. Franklin
Keyword(s):  
Human Physiology ◽  
Best Practices ◽  
Gut Microbiota ◽  
Translational Research ◽  
Mouse Models ◽  
Gut Microbiome ◽  
Predictive Power ◽  
Environmental Influences ◽  
Pharmacological Intervention ◽  
Laboratory Mice

AbstractJust as the gut microbiota (GM) is now recognized as an integral mediator of environmental influences on human physiology, susceptibility to disease, and response to pharmacological intervention, so too does the GM of laboratory mice affect the phenotype of research using mouse models. Multiple experimental factors have been shown to affect the composition of the GM in research mice, as well as the model phenotype, suggesting that the GM represents a major component in experimental reproducibility. Moreover, several recent studies suggest that manipulation of the GM of laboratory mice can substantially improve the predictive power or translatability of data generated in mouse models to the human conditions under investigation. This review provides readers with information related to these various factors and practices, and recommendations regarding methods by which issues with poor reproducibility or translatability can be transformed into discoveries.

scholarly journals Mice, Models, Microbiota: How Can We More Accurately Reflect Human Disease?

2021 ◽  
Vol 15 (1) ◽  
pp. 8
Author(s):  
Rahman Ladak ◽  
Dana Philpott
Keyword(s):  
Gut Microbiota ◽  
Translational Research ◽  
Mouse Models ◽  
Human Disease ◽  
Specific Pathogen Free ◽  
Germ Free ◽  
Stage Of Development ◽  
Specific Pathogen

With growing evidence that human disease is affected by the microbiota, many researchers have sought to modulate the microbiomes of mice to improve translational research. Altering their microbiomes, which are usually germ-free or specific pathogen-free, might allow mice to more accurately model human disease and hence produce more applicable findings. However, this has been difficult to apply to individual projects due to the disparity of explained methods and results. In this review, we first describe the immunological functions of the gut microbiota and the methods of altering mice microbiota, from transplantation route to age of transplantation to microbiota source. We then present an approach for how the gut microbiota might be considered when modelling human disease in mice. By organizing findings by type of disease - neurological, immunological, chronic inflammatory, and cancer - we propose that mouse models can be improved by considering the source of the microbiota, the presence or absence of certain microbial phyla, and by timing the transplantation during a physiologically relevant stage of development, such as the first five weeks of life.

Folate and vitamin B-12 deficiencies additively impaired memory function and disturbed the gut microbiota in amyloid-β infused rats

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Sunmin Park ◽  
Sunna Kang ◽  
Da Sol Kim
Keyword(s):  
Insulin Resistance ◽  
Gut Microbiota ◽  
Insulin Signaling ◽  
Gut Microbiome ◽  
Metabolic Diseases ◽  
Memory Function ◽  
Amyloid Β ◽  
Impaired Memory ◽  
Ca1 Region ◽  
Folate And Vitamin B12

Abstract. Folate and vitamin B12(V-B12) deficiencies are associated with metabolic diseases that may impair memory function. We hypothesized that folate and V-B12 may differently alter mild cognitive impairment, glucose metabolism, and inflammation by modulating the gut microbiome in rats with Alzheimer’s disease (AD)-like dementia. The hypothesis was examined in hippocampal amyloid-β infused rats, and its mechanism was explored. Rats that received an amyloid-β(25–35) infusion into the CA1 region of the hippocampus were fed either control(2.5 mg folate plus 25 μg V-B12/kg diet; AD-CON, n = 10), no folate(0 folate plus 25 μg V-B12/kg diet; AD-FA, n = 10), no V-B12(2.5 mg folate plus 0 μg V-B12/kg diet; AD-V-B12, n = 10), or no folate plus no V-B12(0 mg folate plus 0 μg V-B12/kg diet; AD-FAB12, n = 10) in high-fat diets for 8 weeks. AD-FA and AD-VB12 exacerbated bone mineral loss in the lumbar spine and femur whereas AD-FA lowered lean body mass in the hip compared to AD-CON(P < 0.05). Only AD-FAB12 exacerbated memory impairment by 1.3 and 1.4 folds, respectively, as measured by passive avoidance and water maze tests, compared to AD-CON(P < 0.01). Hippocampal insulin signaling and neuroinflammation were attenuated in AD-CON compared to Non-AD-CON. AD-FAB12 impaired the signaling (pAkt→pGSK-3β) and serum TNF-α and IL-1β levels the most among all groups. AD-CON decreased glucose tolerance by increasing insulin resistance compared to Non-AD-CON. AD-VB12 and AD-FAB12 increased insulin resistance by 1.2 and 1.3 folds, respectively, compared to the AD-CON. AD-CON and Non-AD-CON had a separate communities of gut microbiota. The relative counts of Bacteroidia were lower and those of Clostridia were higher in AD-CON than Non-AD-CON. AD-FA, but not V-B12, separated the gut microbiome community compared to AD-CON and AD-VB12(P = 0.009). In conclusion, folate and B-12 deficiencies impaired memory function by impairing hippocampal insulin signaling and gut microbiota in AD rats.

scholarly journals Gut microbiota modulation induced by Zika virus infection in immunocompetent mice

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rafael Corrêa ◽  
Igor de Oliveira Santos ◽  
Heloísa Antoniella Braz-de-Melo ◽  
Lívia Pimentel de Sant’Ana ◽  
Raquel das Neves Almeida ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Gut Microbiome ◽  
Zika Virus ◽  
Hypervariable Region ◽  
Microbiota Composition ◽  
Colon Tissue ◽  
Zikv Infection ◽  
Immunological Responses ◽  
Immunocompetent Mice ◽  
Gut Microbiota Composition

AbstractGut microbiota composition can modulate neuroendocrine function, inflammation, and cellular and immunological responses against different pathogens, including viruses. Zika virus (ZIKV) can infect adult immunocompetent individuals and trigger brain damage and antiviral responses. However, it is not known whether ZIKV infection could impact the gut microbiome from adult immunocompetent mice. Here, we investigated modifications induced by ZIKV infection in the gut microbiome of immunocompetent C57BL/6J mice. Adult C57BL/6J mice were infected with ZIKV and the gut microbiota composition was analyzed by next-generation sequencing of the V4 hypervariable region present in the bacterial 16S rDNA gene. Our data showed that ZIKV infection triggered a significant decrease in the bacteria belonging to Actinobacteria and Firmicutes phyla, and increased Deferribacteres and Spirochaetes phyla components compared to uninfected mice. Interestingly, ZIKV infection triggered a significant increase in the abundance of bacteria from the Spirochaetaceae family in the gut microbiota. Lastly, we demonstrated that modulation of microbiota induced by ZIKV infection may lead to intestinal epithelium damage and intense leukocyte recruitment to the intestinal mucosa. Taken together, our data demonstrate that ZIKV infection can impact the gut microbiota composition and colon tissue homeostasis in adult immunocompetent mice.

scholarly journals Postoperative Complications Are Associated with Long-Term Changes in the Gut Microbiota Following Colorectal Cancer Surgery

Life ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 246
Author(s):  
Felix C.F. Schmitt ◽  
Martin Schneider ◽  
William Mathejczyk ◽  
Markus A. Weigand ◽  
Jane C. Figueiredo ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Postoperative Complications ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Tumor Resection ◽  
Microbial Composition ◽  
Colorectal Cancer Surgery ◽  
Long Term Changes ◽  
Stool Samples

Changes in the gut microbiome have already been associated with postoperative complications in major abdominal surgery. However, it is still unclear whether these changes are transient or a long-lasting effect. Therefore, the aim of this prospective clinical pilot study was to examine long-term changes in the gut microbiota and to correlate these changes with the clinical course of the patient. Methods: In total, stool samples of 62 newly diagnosed colorectal cancer patients undergoing primary tumor resection were analyzed by 16S-rDNA next-generation sequencing. Stool samples were collected preoperatively in order to determine the gut microbiome at baseline as well as at 6, 12, and 24 months thereafter to observe longitudinal changes. Postoperatively, the study patients were separated into two groups—patients who suffered from postoperative complications (n = 30) and those without complication (n = 32). Patients with postoperative complications showed a significantly stronger reduction in the alpha diversity starting 6 months after operation, which does not resolve, even after 24 months. The structure of the microbiome was also significantly altered from baseline at six-month follow-up in patients with complications (p = 0.006). This was associated with a long-lasting decrease of a large number of species in the gut microbiota indicating an impact in the commensal microbiota and a long-lasting increase of Fusobacterium ulcerans. The microbial composition of the gut microbiome shows significant changes in patients with postoperative complications up to 24 months after surgery.

scholarly journals Gut Microbiome in a Russian Cohort of Pre- and Post-Cholecystectomy Female Patients

2021 ◽  
Vol 11 (4) ◽  
pp. 294
Author(s):  
Irina Grigor’eva ◽  
Tatiana Romanova ◽  
Natalia Naumova ◽  
Tatiana Alikina ◽  
Alexey Kuznetsov ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Relative Abundance ◽  
Gut Microbiome ◽  
Gallstone Disease ◽  
Illumina Miseq ◽  
Rrna Gene ◽  
Bacterial Phyla ◽  
Female Patients ◽  
Composition And Structure ◽  
Before And After

The last decade saw extensive studies of the human gut microbiome and its relationship to specific diseases, including gallstone disease (GSD). The information about the gut microbiome in GSD-afflicted Russian patients is scarce, despite the increasing GSD incidence worldwide. Although the gut microbiota was described in some GSD cohorts, little is known regarding the gut microbiome before and after cholecystectomy (CCE). By using Illumina MiSeq sequencing of 16S rRNA gene amplicons, we inventoried the fecal bacteriobiome composition and structure in GSD-afflicted females, seeking to reveal associations with age, BMI and some blood biochemistry. Overall, 11 bacterial phyla were identified, containing 916 operational taxonomic units (OTUs). The fecal bacteriobiome was dominated by Firmicutes (66% relative abundance), followed by Bacteroidetes (19%), Actinobacteria (8%) and Proteobacteria (4%) phyla. Most (97%) of the OTUs were minor or rare species with ≤1% relative abundance. Prevotella and Enterocossus were linked to blood bilirubin. Some taxa had differential pre- and post-CCE abundance, despite the very short time (1–3 days) elapsed after CCE. The detailed description of the bacteriobiome in pre-CCE female patients suggests bacterial foci for further research to elucidate the gut microbiota and GSD relationship and has potentially important biological and medical implications regarding gut bacteria involvement in the increased GSD incidence rate in females.

scholarly journals Gut microbiome diversity is an independent predictor of survival in cervical cancer patients receiving chemoradiation

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Travis T. Sims ◽  
Molly B. El Alam ◽  
Tatiana V. Karpinets ◽  
Stephanie Dorta-Estremera ◽  
Venkatesh L. Hegde ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Radiation Therapy ◽  
Gut Microbiota ◽  
Cancer Patients ◽  
Gut Microbiome ◽  
Compositional Variation ◽  
Short Term ◽  
Microbiome Diversity ◽  
Term Survivor

AbstractDiversity of the gut microbiome is associated with higher response rates for cancer patients receiving immunotherapy but has not been investigated in patients receiving radiation therapy. Additionally, current studies investigating the gut microbiome and outcomes in cancer patients may not have adjusted for established risk factors. Here, we sought to determine if diversity and composition of the gut microbiome was independently associated with survival in cervical cancer patients receiving chemoradiation. Our study demonstrates that the diversity of gut microbiota is associated with a favorable response to chemoradiation. Additionally, compositional variation among patients correlated with short term and long-term survival. Short term survivor fecal samples were significantly enriched in Porphyromonas, Porphyromonadaceae, and Dialister, whereas long term survivor samples were significantly enriched in Escherichia Shigella, Enterobacteriaceae, and Enterobacteriales. Moreover, analysis of immune cells from cervical tumor brush samples by flow cytometry revealed that patients with a high microbiome diversity had increased tumor infiltration of CD4+ lymphocytes as well as activated subsets of CD4 cells expressing ki67+ and CD69+ over the course of radiation therapy. Modulation of the gut microbiota before chemoradiation might provide an alternative way to enhance treatment efficacy and improve treatment outcomes in cervical cancer patients.

scholarly journals Consideration of Gut Microbiome in Murine Models of Diseases

2021 ◽  
Vol 9 (5) ◽  
pp. 1062
Author(s):  
Chunye Zhang ◽  
Craig L. Franklin ◽  
Aaron C. Ericsson
Keyword(s):  
Animal Models ◽  
Mouse Models ◽  
Biomedical Research ◽  
Gut Microbiome ◽  
Close Association ◽  
Disease Model ◽  
Potential Contributor ◽  
Potential Factors ◽  
Models Of Disease ◽  
The Impact

The gut microbiome (GM), a complex community of bacteria, viruses, protozoa, and fungi located in the gut of humans and animals, plays significant roles in host health and disease. Animal models are widely used to investigate human diseases in biomedical research and the GM within animal models can change due to the impact of many factors, such as the vendor, husbandry, and environment. Notably, variations in GM can contribute to differences in disease model phenotypes, which can result in poor reproducibility in biomedical research. Variation in the gut microbiome can also impact the translatability of animal models. For example, standard lab mice have different pathogen exposure experiences when compared to wild or pet store mice. As humans have antigen experiences that are more similar to the latter, the use of lab mice with more simplified microbiomes may not yield optimally translatable data. Additionally, the literature describes many methods to manipulate the GM and differences between these methods can also result in differing interpretations of outcomes measures. In this review, we focus on the GM as a potential contributor to the poor reproducibility and translatability of mouse models of disease. First, we summarize the important role of GM in host disease and health through different gut–organ axes and the close association between GM and disease susceptibility through colonization resistance, immune response, and metabolic pathways. Then, we focus on the variation in the microbiome in mouse models of disease and address how this variation can potentially impact disease phenotypes and subsequently influence research reproducibility and translatability. We also discuss the variations between genetic substrains as potential factors that cause poor reproducibility via their effects on the microbiome. In addition, we discuss the utility of complex microbiomes in prospective studies and how manipulation of the GM through differing transfer methods can impact model phenotypes. Lastly, we emphasize the need to explore appropriate methods of GM characterization and manipulation.

scholarly journals Guild-based analysis for understanding gut microbiome in human health and diseases

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Guojun Wu ◽  
Naisi Zhao ◽  
Chenhong Zhang ◽  
Yan Y. Lam ◽  
Liping Zhao
Keyword(s):  
Gut Microbiota ◽  
Human Health ◽  
Gut Microbiome ◽  
Association Studies ◽  
Causative Role ◽  
Disease Phenotypes ◽  
Genetic Complexity ◽  
Causative Agents ◽  
Specific Health

AbstractTo demonstrate the causative role of gut microbiome in human health and diseases, we first need to identify, via next-generation sequencing, potentially important functional members associated with specific health outcomes and disease phenotypes. However, due to the strain-level genetic complexity of the gut microbiota, microbiome datasets are highly dimensional and highly sparse in nature, making it challenging to identify putative causative agents of a particular disease phenotype. Members of an ecosystem seldomly live independently from each other. Instead, they develop local interactions and form inter-member organizations to influence the ecosystem’s higher-level patterns and functions. In the ecological study of macro-organisms, members are defined as belonging to the same “guild” if they exploit the same class of resources in a similar way or work together as a coherent functional group. Translating the concept of “guild” to the study of gut microbiota, we redefine guild as a group of bacteria that show consistent co-abundant behavior and likely to work together to contribute to the same ecological function. In this opinion article, we discuss how to use guilds as the aggregation unit to reduce dimensionality and sparsity in microbiome-wide association studies for identifying candidate gut bacteria that may causatively contribute to human health and diseases.

scholarly journals Meta-analysis of the Parkinson’s disease gut microbiome suggests alterations linked to intestinal inflammation

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Stefano Romano ◽  
George M. Savva ◽  
Janis R. Bedarf ◽  
Ian G. Charles ◽  
Falk Hildebrand ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Fatty Acids ◽  
Parkinson's Disease ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Intestinal Inflammation ◽  
Meta Analysis ◽  
Gastrointestinal Symptoms ◽  
Short Chain Fatty Acids ◽  
Inflammatory Status

AbstractThe gut microbiota is emerging as an important modulator of neurodegenerative diseases, and accumulating evidence has linked gut microbes to Parkinson’s disease (PD) symptomatology and pathophysiology. PD is often preceded by gastrointestinal symptoms and alterations of the enteric nervous system accompany the disease. Several studies have analyzed the gut microbiome in PD, but a consensus on the features of the PD-specific microbiota is missing. Here, we conduct a meta-analysis re-analyzing the ten currently available 16S microbiome datasets to investigate whether common alterations in the gut microbiota of PD patients exist across cohorts. We found significant alterations in the PD-associated microbiome, which are robust to study-specific technical heterogeneities, although differences in microbiome structure between PD and controls are small. Enrichment of the genera Lactobacillus, Akkermansia, and Bifidobacterium and depletion of bacteria belonging to the Lachnospiraceae family and the Faecalibacterium genus, both important short-chain fatty acids producers, emerged as the most consistent PD gut microbiome alterations. This dysbiosis might result in a pro-inflammatory status which could be linked to the recurrent gastrointestinal symptoms affecting PD patients.

scholarly journals Fruits and their impact on the gut microbiota, gut motility and constipation

2021 ◽  
Vol 12 (19) ◽  
pp. 8850-8866
Author(s):  
Zoi Katsirma ◽  
Eirini Dimidi ◽  
Ana Rodriguez-Mateos ◽  
Kevin Whelan
Keyword(s):  
Gut Microbiota ◽  
Gut Microbiome ◽  
Nutrient Content ◽  
Mechanisms Of Action ◽  
Human Gut ◽  
Gut Motility ◽  
Gut Function

A summary of the mechanisms of action by which fruit products confer effects on the human gut function, motility and the gut microbiome, as well as an exploration of the effects of processing on the active nutrient content and efficacy of fruits.

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