Recent Development of Probiotic Bifidobacteria for Treating Human Diseases

Chen, Jun; Chen, Xinyi; Ho, Chun Loong

doi:10.3389/fbioe.2021.770248

Cited by 84 publications

(79 citation statements)

References 154 publications

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“…However, if confirmed by further studies, they could be candidates for cancer prevention strategies. For example, Faecalibacterium prausnitzii , a known butyrate producer [ 51 ], or Streptococcus thermophilus, that is a folate producer and has been associated, in conjunction with Bifidobacterium bifidum, with positive effects on gastrointestinal disorders [ 52 , 53 ]. Interestingly, both Streptococcus thermophilus and Bifidobacterium bifidum together with MGYG-HGUT-00605 and Lachnospira sp003537285 were selected as control-enriched species in all models that we performed.…”

Section: Discussionmentioning

confidence: 99%

Meta-Analysis and Validation of a Colorectal Cancer Risk Prediction Model Using Deep Sequenced Fecal Metagenomes

Obón-Santacana

Mas-Lloret

Bars-Cortina

et al. 2022

Cancers

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The gut microbiome is a potential modifiable risk factor for colorectal cancer (CRC). We re-analyzed all eight previously published stool sequencing data and conducted an MWAS meta-analysis. We used cross-validated LASSO predictive models to identify a microbiome signature for predicting the risk of CRC and precancerous lesions. These models were validated in a new study, Colorectal Cancer Screening (COLSCREEN), including 156 participants that were recruited in a CRC screening context. The MWAS meta-analysis identified 95 bacterial species that were statistically significantly associated with CRC (FDR < 0.05). The LASSO CRC predictive model obtained an area under the receiver operating characteristic curve (aROC) of 0.81 (95%CI: 0.78–0.83) and the validation in the COLSCREEN dataset was 0.75 (95%CI: 0.66–0.84). This model selected a total of 32 species. The aROC of this CRC-trained model to predict precancerous lesions was 0.52 (95%CI: 0.41–0.63). We have identified a signature of 32 bacterial species that have a good predictive accuracy to identify CRC but not precancerous lesions, suggesting that the identified microbes that were enriched or depleted in CRC are merely a consequence of the tumor. Further studies should focus on CRC as well as precancerous lesions with the intent to implement a microbiome signature in CRC screening programs.

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Section: Discussionmentioning

confidence: 99%

Meta-Analysis and Validation of a Colorectal Cancer Risk Prediction Model Using Deep Sequenced Fecal Metagenomes

Obón-Santacana

Mas-Lloret

Bars-Cortina

et al. 2022

Cancers

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“…Thus, the loss of this correlation after 6 months of physical distancing could corroborate with the literature findings, which associates Bifidobacterium with anti-pathogenic and anti-inflammatory effects, besides cardiovascular protection. In addition, its lower abundance was associated with animal protein intake and inflammatory bowel diseases ( 95 , 123 ).…”

Section: Discussionmentioning

confidence: 99%

Effects of physical distancing by COVID-19 pandemic on diet quality, neurological and immunological markers, and fecal microbiota of Brazilian older women

et al. 2022

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Physical distancing was used to prevent transmission of COVID-19, however there are concerns that this may promote harmful impacts on health, such as reduced levels of physical practice and changes in food intake and gut microbiota composition. This study evaluated the impacts of 6 months physical distancing on Brazilian older women upon body mass index (BMI), strength, physical activity level (IPAQ), eating habits, neurological markers (brain-derived neurotrophic factor-BDNF and cortisol), cytokines (IL-2, IL-5, IL-6, IL-10, interferon-IFN-γ, tumor necrosis factor-TNF-α), aging-associated markers (vascular endothelial growth factor-VEGF, insulin-like growth factor-IGF-1, klotho and thymic stromal lymphopoietin-TSLP), besides specific groups of fecal microbiota. Fifteen women, over 60 years old, residents of São Paulo state (Brazil), were evaluated in March and in September 2020. The older adult women, with a mean age 66 ± 6.2 years presented significantly increased BMI and high effect size for non-protective foods consumption, reduced light physical activity and strength 6 months following the physical distancing. Furthermore, the serum concentration of IFN-γ, IGF-1, and IFN-γ/IL-5 were significantly higher, while lower concentration of IL-2 and IL-5 were observed 6 months after the physical distancing. Significant increase was noted only to Blautia spp. abundance after 6 months of physical distancing. Several correlations were observed at both before and after physical distancing, however, interestingly, many of them were lost or inverted 6 months following, while new ones emerged. Taken together, these results showed that lifestyle changes and stress conditions addressed by physical distancing from the COVID-19 pandemic impacted the health of older women included in the present study. Therefore, future follow-up studies are essential to propose interventions in order to restore the health conditions observed before the pandemic period, and thus to maintain the quality of life of older adults in different socioeconomic contexts.

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“…However, with prolonged use of eLBPs there are concerns regarding loss of function, mutation, and biocontainmnent of both the whole organism and genetic material (Ozdemir et al, 2018;McNerney et al, 2021). In addition, outside of E. coli and Lactobacillus, there are relatively few tools available for engineering other relevant species (Charbonneau et al, 2020;Chen et al, 2021). To date, the vast majority of these methods have only been tested in vitro or animal models.…”

Section: Engineered Live Biotherapeutic Productsmentioning

confidence: 99%

“…The largest of these communities is found within the digestive tract. However, there are many other communities that play a role in human health, including the skin (Byrd et al, 2018), vaginal (Chen et al, 2021), and oral microbiota (Lamont et al, 2018). The microbiota potentially plays an integral role in human disease, and dysbiosis in these communities has been implicated in numerous conditions.…”

Section: Introductionmentioning

confidence: 99%

Microbiome engineering: engineered live biotherapeutic products for treating human disease

Rutter

Dekker

Owen

et al. 2022

Front. Bioeng. Biotechnol.

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The human microbiota is implicated in many disease states, including neurological disorders, cancer, and inflammatory diseases. This potentially huge impact on human health has prompted the development of microbiome engineering methods, which attempt to adapt the composition and function of the human host-microbiota system for a therapeutic purpose. One promising method is the use of engineered microorganisms that have been modified to perform a therapeutic function. The majority of these products have only been demonstrated in laboratory models; however, in recent years more concepts have reached the translational stage. This has led to an increase in the number of clinical trials, which are designed to assess the safety and efficacy of these treatments in humans. Within this review, we highlight the progress of some of these microbiome engineering clinical studies, with a focus on engineered live biotherapeutic products.

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Recent Development of Probiotic Bifidobacteria for Treating Human Diseases

Cited by 84 publications

References 154 publications

Meta-Analysis and Validation of a Colorectal Cancer Risk Prediction Model Using Deep Sequenced Fecal Metagenomes

Meta-Analysis and Validation of a Colorectal Cancer Risk Prediction Model Using Deep Sequenced Fecal Metagenomes

Effects of physical distancing by COVID-19 pandemic on diet quality, neurological and immunological markers, and fecal microbiota of Brazilian older women

Microbiome engineering: engineered live biotherapeutic products for treating human disease

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