scholarly journals The fermented soy beverage Q-CAN® plus induces beneficial changes in the oral and intestinal microbiome

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Evangelos Dioletis ◽  
Ricardo S. Paiva ◽  
Eleanna Kaffe ◽  
Eric R. Secor ◽  
Theresa R. Weiss ◽  
...  
Keyword(s):  
Oral Microbiome ◽  
Intestinal Microbiome ◽  
Quality Data ◽  
Positive Health ◽  
Fecal Microbiome ◽  
The Family ◽  
Stool Samples ◽  
Microbial Dna ◽  
Good Quality Data

Abstract Background Soy products are associated with many beneficial health consequences, but their effects on the human intestinal microbiome are poorly characterized. Objectives To identify the changes in the oral and fecal microbiome in lean and obese participants due to consumption of Q-CAN®, and to assess the expected consequences of these changes based on the published literature. Methods Prospective study of lean (10) and obese (9) participants consuming Q-CAN® twice daily for 4 weeks with 8 weeks follow-up. Microbial DNA was extracted from saliva and stool samples, amplified against the V4 region of the 16S ribosomal RNA gene and data analyzed using QIIME 1.9.1 bioinformatics. Four hundred forty-four samples were collected in total, 424 of which were productive and yielded good quality data. Results STOOL. In the lean population Bifidobacteria and Blautia show a significant increase while taking Q-CAN®, and there was a trend for this in the obese population. ORAL. There were relatively fewer major changes in the oral microbiome with an increase in the family Veillonellaceae in the lean population while on Q-CAN®. Conclusion Q-CAN® consumption induced a number of significant changes in the fecal and oral microbiome. Most notably an increase in the stool microbiome of Bifidobacteria and Blautia, both of which are associated with positive health benefits, and in the saliva an increase in Veillonellaceae. Trial registration This trial was registered with Clinicaltrials.gov on January 14th 2016. ClinicalTrials.gov Identifier: NCT02656056

scholarly journals The Fermented Soy Beverage Q-CAN® Plus Induces Beneficial Changes in the Oral and Intestinal Microbiome

2020 ◽  
Author(s):  
Evangelos Dioletis ◽  
Ricardo Paiva ◽  
Eleanna Kaffe ◽  
Eric R. Secor ◽  
Theresa R. Weiss ◽  
...  
Keyword(s):  
Oral Microbiome ◽  
Intestinal Microbiome ◽  
Quality Data ◽  
Positive Health ◽  
Fecal Microbiome ◽  
The Family ◽  
Stool Samples ◽  
Microbial Dna ◽  
Good Quality Data

Abstract Background: Soy products are associated with many beneficial health consequences, but their effects on the human intestinal microbiome are poorly characterized. Objectives: To identify the changes in the oral and fecal microbiome in lean and obese participants due to consumption of Q-CAN®, and to assess the expected consequences of these changes based on the published literature. Methods: Prospective study of lean (10) and obese (9) participants consuming Q-CAN® twice daily for 4 weeks with 8 weeks follow-up. Microbial DNA was extracted from saliva and stool samples, amplified against the V4 region of the 16S ribosomal RNA gene and data analyzed using QIIME 1.9.1 bioinformatics. 440 samples were collected in total, 424 of which were productive and yielded good quality data. Results: STOOL. In the lean population Bifidobacteria and Blautia show a significant increase while taking Q-CAN®, and there was a trend for this in the obese population. ORAL. There were relatively fewer major changes in the oral microbiome with an increase in the family Veillonellaceae in the lean population while on Q-CAN®. Conclusion: Q-CAN® consumption induced a number of significant changes in the fecal and oral microbiome. Most notably an increase in the stool microbiome of Bifidobacteria and Blautia, both of which are associated with positive health benefits, and in the saliva an increase in Veillonellaceae. Trial registration: This trial was registered with Clinicaltrials.gov on January 14th 2016. ClinicalTrials.gov Identifier: NCT02656056

scholarly journals The Fermented Soy Beverage Q-CAN® Plus Induces Beneficial Changes in the Oral and Intestinal Microbiome

2020 ◽  
Author(s):  
Evangelos Dioletis ◽  
Ricardo Paiva ◽  
Eleanna Kaffe ◽  
Eric R. Secor ◽  
Theresa R. Weiss ◽  
...  
Keyword(s):  
Oral Microbiome ◽  
Intestinal Microbiome ◽  
Quality Data ◽  
Positive Health ◽  
Fecal Microbiome ◽  
Fermented Product ◽  
Wide Range ◽  
Obese Subjects ◽  
Stool Samples ◽  
Microbial Dna

Abstract Background Q-CAN® Plus is a pasteurized soy fermented product rich in isoflavones that has been used for over 30 years to aid in recovery from a wide range of conditions. Objectives To identify the changes in the oral and fecal microbiome in lean and obese subjects due to consumption of Q-CAN®, and to assess the expected consequences of these changes based on the published literature. Methods Prospective study of lean (10) and obese (9) subjects consuming Q-CAN® twice daily for 4 weeks with 8 weeks follow-up. Microbial DNA was extracted from saliva and stool samples, amplified against the V4 region of the 16S ribosomal RNA gene and data analyzed using QIIME 1.9.1 bioinformatics. 440 samples were collected in total, 424 of which were productive and yielded good quality data. Results STOOL. In the lean population Bifidobacteria and Blautia show a significant increase while taking Q-CAN®, and there was a trend for this in the obese population. ORAL. There were relatively fewer major changes in the oral microbiome with an increase in the family Veillonellaceae in the lean population while on Q-CAN®. Conclusion Q-CAN® consumption induced a number of significant changes in the fecal and oral microbiome. Most notably an increase in the stool microbiome of Bifidobacteria and Blautia, both of which are associated with positive health benefits, and in the saliva an increase in Veillonellaceae.

scholarly journals The Fermented Soy Beverage Q-CAN® Plus Induces Beneficial Changes in the Oral and Intestinal Microbiome

2020 ◽  
Author(s):  
Evangelos Dioletis ◽  
Ricardo Paiva ◽  
Eleanna Kaffe ◽  
Eric R. Secor ◽  
Theresa R. Weiss ◽  
...  
Keyword(s):  
Oral Microbiome ◽  
Intestinal Microbiome ◽  
Quality Data ◽  
Positive Health ◽  
Fecal Microbiome ◽  
Fermented Product ◽  
Wide Range ◽  
Obese Subjects ◽  
Stool Samples ◽  
Microbial Dna

Abstract Background Q-CAN® Plus is a pasteurized soy fermented product rich in isoflavones that has been used for over 30 years to aid in recovery from a wide range of conditions. Objectives To identify the changes in the oral and fecal microbiome in lean and obese subjects due to consumption of Q-CAN®, and to assess the expected consequences of these changes based on the published literature. Methods Prospective study of lean (10) and obese (9) subjects consuming Q-CAN® twice daily for 4 weeks with 8 weeks follow-up. Microbial DNA was extracted from saliva and stool samples, amplified against the V4 region of the 16S ribosomal RNA gene and data analyzed using QIIME 1.9.1 bioinformatics. 440 samples were collected in total, 424 of which were productive and yielded good quality data. Results STOOL. In the lean population Bifidobacteria and Blautia show a significant increase while taking Q-CAN®, and there was a trend for this in the obese population. ORAL. There were relatively fewer major changes in the oral microbiome with an increase in the family Veillonellaceae in the lean population while on Q-CAN®. Conclusion Q-CAN® consumption induced a number of significant changes in the fecal and oral microbiome. Most notably an increase in the stool microbiome of Bifidobacteria and Blautia, both of which are associated with positive health benefits, and in the saliva an increase in Veillonellaceae.

scholarly journals G2S: A New Deep Learning Tool for Predicting Stool Microbiome Structure From Oral Microbiome Data

2021 ◽  
Vol 12 ◽  
Author(s):  
Simone Rampelli ◽  
Marco Fabbrini ◽  
Marco Candela ◽  
Elena Biagi ◽  
Patrizia Brigidi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Human Microbiome ◽  
Oral Microbiome ◽  
Fecal Microbiome ◽  
The Family ◽  
Bioinformatic Tool ◽  
Microbial Metagenomics ◽  
Community Theory ◽  
Microbiome Data ◽  
Fecal Sampling

Deep learning methodologies have revolutionized prediction in many fields and show the potential to do the same in microbial metagenomics. However, deep learning is still unexplored in the field of microbiology, with only a few software designed to work with microbiome data. Within the meta-community theory, we foresee new perspectives for the development and application of deep learning algorithms in the field of the human microbiome. In this context, we developed G2S, a bioinformatic tool for taxonomic prediction of the human fecal microbiome directly from the oral microbiome data of the same individual. The tool uses a deep convolutional neural network trained on paired oral and fecal samples from populations across the globe, which allows inferring the stool microbiome at the family level more accurately than other available approaches. The tool can be used in retrospective studies, where fecal sampling was not performed, and especially in the field of paleomicrobiology, as a unique opportunity to recover data related to ancient gut microbiome configurations. G2S was validated on already characterized oral and fecal sample pairs, and then applied to ancient microbiome data from dental calculi, to derive putative intestinal components in medieval subjects.

scholarly journals The Fermented Soy Beverage Q-CAN® Plus Induces Changes in the Oral and Intestinal Microbiome (P20-018-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Wajahat Mehal ◽  
Evangelos Dioletis ◽  
Ricardo Paiva ◽  
Eric Secor ◽  
Theresa Weiss ◽  
...  
Keyword(s):  
Gut Microbiome ◽  
Oral Microbiome ◽  
Obese Group ◽  
Intestinal Microbiome ◽  
Quality Data ◽  
Metabolic Phenotype ◽  
Biological Research ◽  
Sequencing Data ◽  
Body Type ◽  
Lean Group

Abstract Objectives To better understand the mechanisms for the beneficial effects of Q-CAN we identified changes in the fecal and oral microbiome in healthy subjects. Due to the high prevalence of obesity, and the known differences in the microbiome in obesity we want to test the effects on Q-CAN on lean and obese subjects. Methods Prospective study of lean (10) and obese (10) subjects. 11 clinic visits over 14 weeks. 237 ml of soy was dispensed at visit 3 and was consumed twice daily for 4 weeks until visit 7. Visits 8–11 were post treatment. Microbial DNA was extracted from saliva and stool samples, amplified against the V4 region of the 16S ribosomal RNA gene. Raw DNA sequencing data analyzed with the QIIME 1.9.1 bioinformatics pipeline. samples producing > 5000 reads were considered for analysis, and the cutoff abundance was 0.01%. Statistical validation was performed using the SAS software package to calculate Least Squares Means (LSM) and group difference of LSM. 440 samples were collected in total, 424 of which were productive and yielded good quality data. Results STOOL. Obese had higher firmicute/bacteroidetes ratio compared to the lean group. At phylum level the gut microbiome of the obese group shows a trend for decreased firmicute/bacteroidetes ratio while taking Q-CAN. In the lean population actinobacteria show a statistically significant increase (0.0095 ± 0.0039, P = 0.02) during soy consumption compared to baseline. Several genera show a significant decrease in abundance in the obese group upon soy withdrawal including Faecalibacterium, Bifidobacterium and Sutterella. Dorea is increasing in obese group and Lachnospiraceae genus is decreasing in the lean group when comparing samples during consumption to baseline. ORAL. Veillonella and Oribacterium increased during soy consumption vs baseline, while Neisseria is decreasing. Conclusions Fermented soy consumption introduced changes in the abundance of the oral and gut microbiome. The decreasing firmicute to Bacteroidetes ratio is particularly promising as a low ratio is associated with lean body type, while a high ratio is associated with obese body type. The shift in the microbiome in obese individuals may be associated with health benefits such as reduced inflammation, or improvement in the metabolic phenotype. Funding Sources Beso Biological Research, Inc.

scholarly journals The Family Psychoeducation Fidelity Scale: Psychometric Properties

2020 ◽  
Vol 47 (6) ◽  
pp. 894-900 ◽  
Author(s):  
I. Joa ◽  
J. O. Johannessen ◽  
K. S. Heiervang ◽  
A. A. Sviland ◽  
H. A. Nordin ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Internal Consistency ◽  
Interrater Reliability ◽  
Review Process ◽  
Trial Registration ◽  
Family Psychoeducation ◽  
Time Points ◽  
The Family ◽  
Fidelity Scale

Abstract This study examined psychometric properties and feasibility of the Family Psychoeducation (FPE) Fidelity Scale. Fidelity assessors conducted reviews using the FPE fidelity scale four times over 18 months at five sites in Norway. After completing fidelity reviews, assessors rated feasibility of the fidelity review process. The FPE fidelity scale showed excellent interrater reliability (.99), interrater item agreement (88%), and internal consistency (mean = .84 across four time points). By the 18-month follow-up, all five sites increased fidelity and three reached adequate fidelity. Fidelity assessors rated feasibility as excellent. The FPE fidelity scale has good psychometric properties and is feasible for evaluating the implementation of FPE programs. Trial registration ClinicalTrials.gov Identifier: NCT03271242.

scholarly journals The impact of fixed orthodontic appliances on oral microbiome dynamics in Japanese patients

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Isamu Kado ◽  
Junzo Hisatsune ◽  
Keiko Tsuruda ◽  
Kotaro Tanimoto ◽  
Motoyuki Sugai
Keyword(s):  
Relative Abundance ◽  
Japanese Patients ◽  
Oral Microbiome ◽  
Orthodontic Appliances ◽  
Periodontal Pathogens ◽  
Supragingival Plaque ◽  
Fixed Orthodontic Appliances ◽  
Microbial Dna ◽  
The Impact ◽  
Level Analysis

AbstractFixed orthodontic appliances are common and effective tools to treat malocclusion. Adverse effects of these appliances, such as dental caries and periodontitis, may be associated with alteration of the microbiome. This study investigated the impact of these appliances on the dynamics of the oral microbiome. Seventy-one patients were selected. Supragingival plaque samples were collected before placement (T0) and six months after placement (T1). Saliva samples were collected at T0 and T1, and then when appliance removal (T2). Microbial DNA was analyzed by 16S rRNA meta-sequencing. The diversity analysis indicated dynamic changes in the structure of the oral microbiome. Taxonomic analysis at phylum level showed a significant increase in Bacteroidetes and Saccharibacteria (formally TM7) and decrease in Proteobacteria and Actinobacteria over time, in both plaque and saliva. Genus level analysis of relative abundance indicated a significant increase in anaerobic and facultative anaerobes in both plaque and saliva. Fixed orthodontic appliances induced measurable changes in the oral microbiome. This was characterized by an increase in relative abundance of obligate anaerobes, including periodontal pathogens. It can be concluded that this dysbiosis induced by fixed orthodontic appliances is likely to represent a transitional stage in the shift in microbiome from healthy to periodontitis.

scholarly journals Structural and functional radiomics for lung cancer

2021 ◽  
Author(s):  
Guangyao Wu ◽  
Arthur Jochems ◽  
Turkey Refaee ◽  
Abdalla Ibrahim ◽  
Chenggong Yan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Treatment Strategy ◽  
Early Stage ◽  
Quality Data ◽  
Clinical Implementation ◽  
Early Stage Lung Cancer ◽  
Treatment Response Evaluation ◽  
Advanced Stage Lung Cancer ◽  
Stage Lung Cancer

Abstract Introduction Lung cancer ranks second in new cancer cases and first in cancer-related deaths worldwide. Precision medicine is working on altering treatment approaches and improving outcomes in this patient population. Radiological images are a powerful non-invasive tool in the screening and diagnosis of early-stage lung cancer, treatment strategy support, prognosis assessment, and follow-up for advanced-stage lung cancer. Recently, radiological features have evolved from solely semantic to include (handcrafted and deep) radiomic features. Radiomics entails the extraction and analysis of quantitative features from medical images using mathematical and machine learning methods to explore possible ties with biology and clinical outcomes. Methods Here, we outline the latest applications of both structural and functional radiomics in detection, diagnosis, and prediction of pathology, gene mutation, treatment strategy, follow-up, treatment response evaluation, and prognosis in the field of lung cancer. Conclusion The major drawbacks of radiomics are the lack of large datasets with high-quality data, standardization of methodology, the black-box nature of deep learning, and reproducibility. The prerequisite for the clinical implementation of radiomics is that these limitations are addressed. Future directions include a safer and more efficient model-training mode, merge multi-modality images, and combined multi-discipline or multi-omics to form “Medomics.”

scholarly journals Beyond the Normative Family Meal Promotion: A Narrative Review of Qualitative Results about Ordinary Domestic Commensality

2021 ◽  
Vol 18 (6) ◽  
pp. 3186
Author(s):  
Fairley Le Moal ◽  
Maxime Michaud ◽  
Carol Hartwick-Pflaum ◽  
Georgia Middleton ◽  
Isabelle Mallon ◽  
...  
Keyword(s):  
Public Health ◽  
Family Members ◽  
Public Health Research ◽  
Family Meals ◽  
Positive Health ◽  
Mental Load ◽  
Family Meal ◽  
External Constraints ◽  
Research Fields ◽  
The Family

There exists a normative representation of family meals in contemporary Western societies which is promoted as imperative through public health programs, larger discourses and by some studies in the nutritional and public health research fields. Family meals, also called domestic commensality, are represented as convivial events and are associated with positive health and wellbeing outcomes but there is minimal evidence to show they are beneficial for family members and it is not known which aspect of the family meal could be responsible for these alleged benefits. This normative family meal image is based on a representation of the family as a peaceful unit exempt from external constraints. This narrative literature review of qualitative studies of family meals seeks to put forward the underlying premises of this representation and compare it with reports about actual practices. The results emphasize that eating together is still practiced and remains valued by family members, which is in contrast to discourses lamenting the decline of the family meal. However, the valorisation and recurrence of family meals depends on class, gender and cultural positions. There is a gap between the norm of healthy or convivial and achievable family meals, which can reinforce the so-called “mental load” and “emotion work” of those in charge of feeding the family and heighten inequalities within the household. In fact, there are many challenges to family meals which originate from external constraints or are inherent aspects of family life. The results from this review suggest that we should focus on family meals by taking into account the food work surrounding it and focussing on the interactional aspects of family meals. Ethnographic methods allow the researcher to observe the diversities and complexities of commensality as well as family dynamics and, in doing so, could provide more realistic representations of eating within the family.

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