scholarly journals Associations between habitual diet, metabolic disease, and the gut microbiota using latent Dirichlet allocation

Microbiome ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Taylor A. Breuninger ◽  
Nina Wawro ◽  
Jakob Breuninger ◽  
Sandra Reitmeier ◽  
Thomas Clavel ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gut Microbiota ◽  
Dietary Intake ◽  
Human Health ◽  
Latent Dirichlet Allocation ◽  
Metabolic Diseases ◽  
Healthy Eating Index ◽  
Lower Probability ◽  
Habitual Diet ◽  
Dirichlet Allocation

Abstract Background The gut microbiome impacts human health through various mechanisms and is involved in the development of a range of non-communicable diseases. Diet is a well-known factor influencing microbe-host interaction in health and disease. However, very few findings are based on large-scale analysis using population-based studies. Our aim was to investigate the cross-sectional relationship between habitual dietary intake and gut microbiota structure in the Cooperative Health Research in the Region of Augsburg (KORA) FF4 study. Results Fecal microbiota was analyzed using 16S rRNA gene amplicon sequencing. Latent Dirichlet allocation (LDA) was applied to samples from 1992 participants to identify 20 microbial subgroups within the study population. Each participant’s gut microbiota was subsequently described by a unique composition of these 20 subgroups. Associations between habitual dietary intake, assessed via repeated 24-h food lists and a Food Frequency Questionnaire, and the 20 subgroups, as well as between prevalence of metabolic diseases/risk factors and the subgroups, were assessed with multivariate-adjusted Dirichlet regression models. After adjustment for multiple testing, eight of 20 microbial subgroups were significantly associated with habitual diet, while nine of 20 microbial subgroups were associated with the prevalence of one or more metabolic diseases/risk factors. Subgroups 5 (Faecalibacterium, Lachnospiracea incertae sedis, Gemmiger, Roseburia) and 14 (Coprococcus, Bacteroides, Faecalibacterium, Ruminococcus) were particularly strongly associated with diet. For example, participants with a high probability for subgroup 5 were characterized by a higher Alternate Healthy Eating Index and Mediterranean Diet Score and a higher intake of food items such as fruits, vegetables, legumes, and whole grains, while participants with prevalent type 2 diabetes mellitus were characterized by a lower probability for subgroup 5. Conclusions The associations between habitual diet, metabolic diseases, and microbial subgroups identified in this analysis not only expand upon current knowledge of diet-microbiota-disease relationships, but also indicate the possibility of certain microbial groups to be modulated by dietary intervention, with the potential of impacting human health. Additionally, LDA appears to be a powerful tool for interpreting latent structures of the human gut microbiota. However, the subgroups and associations observed in this analysis need to be replicated in further studies.

scholarly journals Bacterial Taxa Associated with High Adherence to Mediterranean Diet in a Spanish Population

Proceedings ◽  
2020 ◽  
Vol 61 (1) ◽  
pp. 10
Author(s):  
Carles Rosés ◽  
Amanda Cuevas-Sierra ◽  
Salvador Quintana ◽  
José I. Riezu-Boj ◽  
J. Alfredo Martínez ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Dietary Intake ◽  
Mediterranean Diet ◽  
Dietary Habits ◽  
Metabolic Diseases ◽  
Positive Association ◽  
Normal Weight ◽  
Statistical Tool ◽  
High Adherence ◽  
Health And Disease

The Mediterranean diet (MD) is recognised as one of the healthiest diets worldwide and is associated with the prevention of cardiovascular and metabolic diseases, among others. Dietary habits are considered one of the strongest modulators of the gut microbiota, which seems to play a significant role in the health and disease of the host. The purpose of the present study was to evaluate interactive associations between gut microbiota composition and habitual dietary intake in 360 Spanish adults of the Obekit cohort (normal weight, overweight and obese subjects). Dietary intake and adherence to the MD tests together with faecal samples were collected from each subject. Faecal 16S rRNA sequencing was performed and checked against the dietary habits. MetagenomeSeq was the statistical tool applied to analyse at the species taxonomic level. Results from this study confirm that a strong adherence to the MD increases the population of some beneficial bacteria, improving microbiota status towards a healthier pattern. Bifidobacterium animalis is the species with the strongest association with the MD. One of the highlights is the positive association between several SCFA-producing bacteria and high adherence to the MD. In conclusion, this study shows that MD, fibre, legumes, vegetables, fruit and nuts intakes are associated with an increase in butyrate-producing taxa such as Roseburia faecis, Ruminococcus bromii and Oscillospira (Flavonifractor) plautii.

scholarly journals Gut Microbiota Bacterial Species Associated with Mediterranean Diet-Related Food Groups in a Northern Spanish Population

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 636
Author(s):  
Carles Rosés ◽  
Amanda Cuevas-Sierra ◽  
Salvador Quintana ◽  
José I. Riezu-Boj ◽  
J. Alfredo Martínez ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Dietary Intake ◽  
Mediterranean Diet ◽  
Dietary Habits ◽  
Metabolic Diseases ◽  
Bacterial Species ◽  
Short Chain Fatty Acids ◽  
Normal Weight ◽  
Food Groups ◽  
Statistical Tool

The MD (Mediterranean diet) is recognized as one of the healthiest diets worldwide and is associated with the prevention of cardiovascular and metabolic diseases. Dietary habits are considered one of the strongest modulators of gut microbiota, which seem to play a significant role in health status of the host. The purpose of the present study was to evaluate interactive associations between gut microbiota composition and habitual dietary intake in 360 Spanish adults from the Obekit cohort (normal weight, overweight, and obese participants). Dietary intake and adherence to the MD tests were administered and fecal samples were collected from each participant. Fecal 16S rRNA (ribosomal Ribonucleic Acid) gene sequencing was performed and checked against the dietary habits. MetagenomeSeq was the statistical tool applied to analyze data at the species taxonomic level. Results from this study identified several beneficial bacteria that were more abundant in the individuals with higher adherence to the MD. Bifidobacterium animalis was the species with the strongest association with the MD. Some SCFA (Short Chain Fatty Acids) -producing bacteria were also associated with MD. In conclusion, this study showed that MD, fiber, legumes, vegetable, fruit, and nut intake are associated with an increase in butyrate-producing taxa such as Roseburia faecis, Ruminococcus bromii, and Oscillospira (Flavonifractor) plautii.

scholarly journals Prediction Correction Topic Evolution Research for Metabolic Pathways of the Gut Microbiota

2020 ◽  
Vol 7 ◽  
Author(s):  
Li Ning ◽  
Peng Lifang ◽  
He Huixin
Keyword(s):  
Cardiovascular Disease ◽  
Gut Microbiota ◽  
Human Health ◽  
Metabolic Pathways ◽  
Latent Dirichlet Allocation ◽  
Rapid Development ◽  
Hepatic Metabolism ◽  
Future Trend ◽  
Analysis Tool ◽  
Brain Reaction

The gut microbiota is composed of a large number of different bacteria, that play a key role in the construction of a metabolic signaling network. Deepening the link between metabolic pathways of the gut microbiota and human health, it seems increasingly essential to evolutionarily define the principal technologies applied in the field and their future trends. We use a topic analysis tool, Latent Dirichlet Allocation, to extract themes as a probabilistic distribution of latent topics from literature dataset. We also use the Prophet neural network prediction tool to predict future trend of this area of study. A total of 1,271 abstracts (from 2006 to 2020) were retrieved from MEDLINE with the query on “gut microbiota” and “metabolic pathway.” Our study found 10 topics covering current research types: dietary health, inflammation and liver cancer, fatty and diabetes, microbiota community, hepatic metabolism, metabolomics-based approach and SFCAs, allergic and immune disorders, gut dysbiosis, obesity, brain reaction, and cardiovascular disease. The analysis indicates that, with the rapid development of gut microbiota research, the metabolomics-based approach and SCFAs (topic 6) and dietary health (topic 1) have more studies being reported in the last 15 years. We also conclude from the data that, three other topics could be heavily focused in the future: metabolomics-based approach and SCFAs (topic 6), obesity (topic 8) and brain reaction and cardiovascular disease (topic 10), to unravel microbial affecting human health.

scholarly journals Nutritional Status and the Influence of the Vegan Diet on the Gut Microbiota and Human Health

Medicina ◽  
2020 ◽  
Vol 56 (2) ◽  
pp. 88 ◽  
Author(s):  
Hercules Sakkas ◽  
Petros Bozidis ◽  
Christos Touzios ◽  
Damianos Kolios ◽  
Georgia Athanasiou ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Gut Microbiota ◽  
Human Health ◽  
Dietary Habits ◽  
Metabolic Diseases ◽  
Vegan Diet ◽  
Nutritional Deficiencies ◽  
Human Gut ◽  
Human Gut Microbiota ◽  
Medical Disorders

The human gut microbiota is considered a well-known complex ecosystem composed of distinct microbial populations, playing a significant role in most aspects of human health and wellness. Several factors such as infant transitions, dietary habits, age, consumption of probiotics and prebiotics, use of antibiotics, intestinal comorbidities, and even metabolic diseases may continously alter microbiota diversity and function. The study of vegan diet–microbiota interactions is a rapidly evolving field, since plenty of research has been focused on the potential effects of plant-based dietary patterns on the human gut microbiota. It has been reported that well-planned vegan diets and their associated components affect both the bacterial composition and metabolic pathways of gut microbiota. Certain benefits associated with medical disorders but also limitations (including nutritional deficiencies) have been documented. Although the vegan diet may be inadequate in calorific value, it is rich in dietary fiber, polyphenols, and antioxidant vitamins. The aim of the present study was to provide an update of the existing knowledge on nutritional status of vegan diets and the influence of their food components on the human gut microbiota and health.

Modifiable Risk Factors for Dementia: The Role of Gut Microbiota

2021 ◽  
Vol 18 ◽  
Author(s):  
Cristian Cabrera ◽  
Paloma Vicens ◽  
Margarita Torrente
Keyword(s):  
Risk Factors ◽  
Gut Microbiota ◽  
Physical Inactivity ◽  
Metabolic Diseases ◽  
Clinical Implications ◽  
Low Grade ◽  
Modifiable Risk Factors ◽  
Excessive Alcohol Consumption ◽  
Excessive Alcohol

: Dementia is a syndrome resulting from chronic or progressive brain disease. Around 40% of worldwide dementia can be prevented or delayed by modifying 12 risk factors: low educational attainment in early life, mid-life hypertension, mid-life obesity, hearing loss, traumatic brain injury, excessive alcohol consumption, smoking, depression, physical inactivity, social isolation, diabetes mellitus, and air pollution. There is growing evidence that gastrointestinal tract microbiota may significantly contribute to dementia pathogenesis. In particular, gut dysbiosis can trigger metabolic diseases and the progression of low-grade systemic inflammation, being involved in much of the major modifiable risk factors. In this review, we focus on studies that have evaluated the association between modifiable risk factors for dementia and the role of gut microbiota. We also suggest clinical implications for researchers in dementia-gut microbiota related fields.

scholarly journals Identifying the Risk Factors in the Context-of-Use of Electric Kick Scooters Based on a Latent Dirichlet Allocation

2020 ◽  
Vol 10 (23) ◽  
pp. 8447
Author(s):  
Kyung-Jun Lee ◽  
Chan Hyeok Yun ◽  
Ilsun Rhiu ◽  
Myung Hwan Yun
Keyword(s):  
Risk Factors ◽  
Topic Modeling ◽  
Online Survey ◽  
Latent Dirichlet Allocation ◽  
Memory Loss ◽  
Injury Patterns ◽  
Daily Lives ◽  
Safety Issues ◽  
Context Of Use ◽  
Dirichlet Allocation

Accidents related to electric kick scooters, which are widespread globally, are increasing rapidly. However, most of the research on them concentrates on reporting accident status and injury patterns. Therefore, while it is necessary to analyze safety issues from the user’s perspective, interviewing or conducting a survey with those involved in an accident may not return enough data due to respondents’ memory loss. Therefore, this study aims to identify the risk factors in the context-of-use for electric kick scooters based on a topic modeling method. We collected data on risk episodes involving electric kick scooters experienced by users in their daily lives and applied text mining to analyze text responses describing the risk episodes systematically. A total of 423 risk episodes are collected from 21 electric kick scooter users in South Korea over two months from an online survey. The text responses describing risk episodes were classified into nine topics based on a latent Dirichlet allocation. From the result, four risk factors can be identified by analyzing the derived topics and the cause of the risk according to the context. Moreover, we suggested design improvement directions. This study can be helpful for designing safer electric kick scooters considering safety.

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.

Similarity Detection Using Latent Semantic Analysis Algorithm

2018 ◽  
Vol 6 (8) ◽  
pp. 102
Author(s):  
Priyanka R. Patil ◽  
Shital A. Patil
Keyword(s):  
Latent Semantic Analysis ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Mining Method ◽  
Research Papers ◽  
Information Measures ◽  
Automated Software ◽  
Day By Day ◽  
Ways Of Life ◽  
Dirichlet Allocation

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.

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