Understanding Lactobacillus paracasei and Streptococcus oralis Biofilm Interactions through Agent-Based Modeling

Archambault, Linda; Koshy-Chenthittayil, Sherli; Thompson, Angela; Dongari-Bagtzoglou, Anna; Laubenbacher, Reinhard; Mendes, Pedro

doi:10.1128/msphere.00875-21

Cited by 5 publications

(4 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The detection rates of Lactobacillus and Streptococcus were significantly higher in the 8020N group than in the 8020Y group. Lactobacillus may act with Streptococcus, becoming highly pathogenic and causing tissue injury [32]. A previous study indicated that an increase in the salivary Lactobacillus count was associated with more tooth defects [33], and this was considered to be a contributing factor to the decrease in the number of teeth in this study.…”

Section: Discussionmentioning

confidence: 55%

Oral Function and the Oral Microbiome in the Elderly in the Kyotango Area

Yamamoto,

Miyamoto

et al. 2024

Dentistry Journal

View full text Add to dashboard Cite

Introduction: Prevention of tooth loss contributes to an extended life expectancy, namely longevity. Aging-related oral hypofunction, including tooth loss, markedly increases the risks of functional disorder and mortality. Dysbiosis of the oral microbiome has recently been associated with various diseases, such as liver cirrhosis, pancreatic cancer, colorectal cancer, and inflammatory bowel disease. Therefore, the relationship between the oral microbiome and systemic health has been attracting increasing attention. In the present study, we examined oral function and the oral microbiome in the elderly in a world-leading longevity area. Materials and Methods: An oral examination, chewing ability/tongue-lip motor function/saliva tests, and a metagenomic analysis with a 16S rRNA gene-targeting next-generation sequencer were conducted on 78 subjects aged ≥80 years. Twenty-six healthy individuals aged between 20 and 39 years were also investigated as controls. The data obtained were statistically analyzed. The protocol of the present study was approved by the Ethics Review Board of our university (ERB-C-885). Results: Chewing ability, tongue–lip motor function, and saliva volume were normal in elderly subjects with a current tooth number ≥20, but were significantly lower in those with a current tooth number <20. The oral microbiome in elderly subjects with a current tooth number ≥20 and young controls differed from that in elderly subjects with a current tooth number <20. Conclusion: Tooth number ≥20 in elderly subjects in the longevity area contributed to the maintenance of both oral function and the diversity of the oral microbiome.

show abstract

Section: Discussionmentioning

confidence: 55%

Oral Function and the Oral Microbiome in the Elderly in the Kyotango Area

Yamamoto,

Miyamoto

et al. 2024

Dentistry Journal

View full text Add to dashboard Cite

show abstract

“…This species has been associated with several potential beneficial effects on human health. Some of the notable beneficial effects attributed to L. paracasei include promoting digestive health, supporting the immune system, balancing gut microbiota, managing allergies, maintaining skin health, alleviating gastrointestinal disorders, promoting oral health, reducing oxidative stress, and improving bone health [ 36 , 37 , 38 , 39 , 40 ]. L. paracasei ET-66 was a strain currently isolated from human breast milk in 2016 and exhibited a beneficial effect on oral health [ 23 , 24 , 41 , 42 ].…”

Section: Introductionmentioning

confidence: 99%

“…As early as 1963, the literature documented the isolation of B. longum from human feces [4]. In 2002, Sakata et al, based on gastrointestinal disorders, promoting oral health, reducing oxidative stress, and improving bone health [36][37][38][39][40]. L. paracasei ET-66 was a strain currently isolated from human breast milk in 2016 and exhibited a beneficial effect on oral health [23,24,41,42].…”

Section: Introductionmentioning

confidence: 99%

Safety Assessment and Probiotic Potential Comparison of Bifidobacterium longum subsp. infantis BLI-02, Lactobacillus plantarum LPL28, Lactobacillus acidophilus TYCA06, and Lactobacillus paracasei ET-66

Chen,

Hsia,

Kuo

et al. 2023

Nutrients

View full text Add to dashboard Cite

Bifidobacterium longum subsp. infantis BLI-02, Lactobacillus paracasei ET-66, Lactobacillus plantarum LPL28, and Lactobacillus acidophilus TYCA06, isolated from healthy breast milk, miso, and the healthy human gut, were assessed for safety in this study. BLI-02, LPL28, TYCA06, and ET-66 exhibited no antibiotic resistance and mutagenic activity in the Ames test at the highest dosage (5000 μg/plate). No genotoxicity was observed in micronucleus and chromosomal aberration assays in rodent spermatogonia at the maximum dosage of 10 g/kg body weight (BW). No acute and sub-chronic toxicity occurred in mice and rats at the maximum tested dosage of 10 g/kg BW and 1.5 g/kg BW, respectively. The lyophilized powder of these strains survived a low pH and high bile salt environment, adhering strongly to Caco-2 cells. Unique antimicrobial activities were noted in these strains, with BLI-02 demonstrating the best growth inhibition against Vibrio parahaemolyticus, LPL28 exhibiting the best growth inhibition against Helicobacter pylori, and ET-66 showing the best growth inhibition against Aggregatibacter actinomycetemcomitans. Based on the present study, the lyophilized powder of these four strains appears to be a safe probiotic supplement at tested dosages. It should be applicable for clinical or healthcare applications.

show abstract

“…Given the difficulties associated with representing these intricacies using equation-based approaches, alternative model types, such as agent-based models (ABMs), frequently serve as the foundation for medical digital twins [3][4][5][6][7][8][9][10][11]. In biomedical applications, agents in an ABM represent biological entities such as cells in a tissue or microbes in a biofilm [12][13][14][15]. The behavior of agents is usually described by stochastic rules, which allow them to navigate heterogeneous spatial environments and interact with each other.…”

mentioning

confidence: 99%

Control of Medical Digital Twins with Artificial Neural Networks

Böttcher,

Fonseca,

Laubenbacher

2024

Preprint

View full text Add to dashboard Cite

The objective of personalized medicine is to tailor interventions to an individual patient's unique characteristics. A key technology for this purpose involves medical digital twins, computational models of human biology that can be personalized and dynamically updated to incorporate patient-specific data collected over time. Certain aspects of human biology, such as the immune system, are not easily captured with physics-based models, such as differential equations. Instead, they are often multi-scale, stochastic, and hybrid. This poses a challenge to existing model-based control and optimization approaches that cannot be readily applied to such models. Recent advances in automatic differentiation and neural-network control methods hold promise in addressing complex control problems. However, the application of these approaches to biomedical systems is still in its early stages. This work introduces dynamics-informed neural-network controllers as an alternative approach to control of medical digital twins. As a first use case for this method, the focus is on agent-based models, a versatile and increasingly common modeling platform in biomedicine. The effectiveness of the proposed neural-network control method is illustrated and benchmarked against other methods with two widely-used agent-based model types. The relevance of the method introduced here extends beyond medical digital twins to other complex dynamical systems.

show abstract

Understanding Lactobacillus paracasei and Streptococcus oralis Biofilm Interactions through Agent-Based Modeling

Cited by 5 publications

References 61 publications

Oral Function and the Oral Microbiome in the Elderly in the Kyotango Area

Oral Function and the Oral Microbiome in the Elderly in the Kyotango Area

Safety Assessment and Probiotic Potential Comparison of Bifidobacterium longum subsp. infantis BLI-02, Lactobacillus plantarum LPL28, Lactobacillus acidophilus TYCA06, and Lactobacillus paracasei ET-66

Control of Medical Digital Twins with Artificial Neural Networks

Contact Info

Product

Resources

About