NRGCNMDA: Microbe-Drug Association Prediction Based on Residual Graph Convolutional Networks and Conditional Random Fields DOI Creative Commons
Xiaoxin Du, Jingwei Li, Bo Wang

и другие.

Interdisciplinary Sciences Computational Life Sciences, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Язык: Английский

Connected healthcare: Improving patient care using digital health technologies DOI
Atheer Awad, Sarah J. Trenfield, Thomas D. Pollard

и другие.

Advanced Drug Delivery Reviews, Год журнала: 2021, Номер 178, С. 113958 - 113958

Опубликована: Сен. 1, 2021

Язык: Английский

Процитировано

248

Nanoencapsulation for Probiotic Delivery DOI
Franco Centurion, Abdul W. Basit, Jinyao Liu

и другие.

ACS Nano, Год журнала: 2021, Номер 15(12), С. 18653 - 18660

Опубликована: Дек. 3, 2021

Gut microbiota dynamically participate in diverse physiological activities with direct impact on the host's health. A range of factors associated highly complex intestinal flora ecosystem poses challenges regulating homeostasis microbiota. The consumption live probiotic bacteria, principle, can address these and confer health benefits. In this context, one major problems is ensuring survival cells when faced physical chemical assaults during their intake subsequent gastrointestinal passage to gut. Advances field have focused improving conventional encapsulation techniques microscale achieve high cell viability, gastric temperature resistance, longer shelf lives. However, microencapsulation approaches are known limitations possible difficulties clinical translation. Perspective, we present a brief overview current progress different methods highlight contemporary emerging single-cell strategies using nanocoatings for individual cells. Finally, discuss relative advantages various nanoencapsulation future trend toward developing coated probiotics advanced features

Язык: Английский

Процитировано

127

Advancing pharmacy and healthcare with virtual digital technologies DOI
Sarah J. Trenfield, Atheer Awad, Laura E. McCoubrey

и другие.

Advanced Drug Delivery Reviews, Год журнала: 2022, Номер 182, С. 114098 - 114098

Опубликована: Янв. 5, 2022

Язык: Английский

Процитировано

127

Machine learning predicts 3D printing performance of over 900 drug delivery systems DOI

Brais Muñiz Castro,

Moe Elbadawi, Jun Jie Ong

и другие.

Journal of Controlled Release, Год журнала: 2021, Номер 337, С. 530 - 545

Опубликована: Июль 30, 2021

Язык: Английский

Процитировано

122

Colonic drug delivery: Formulating the next generation of colon-targeted therapeutics DOI Creative Commons
Laura E. McCoubrey,

Alessia Favaron,

Atheer Awad

и другие.

Journal of Controlled Release, Год журнала: 2022, Номер 353, С. 1107 - 1126

Опубликована: Дек. 25, 2022

Colonic drug delivery can facilitate access to unique therapeutic targets and has the potential enhance bioavailability whilst reducing off-target effects. Delivering drugs colon requires considered formulation development, as both oral rectal dosage forms encounter challenges if colon's distinct physiological environment is not appreciated. As opportunities surrounding colonic multiply, success of novel pharmaceuticals lies in their design. This review provides a modern insight into key parameters determining effective design development colon-targeted medicines. Influential features governing release, dissolution, stability, absorption are first discussed, followed by an overview most reliable strategies. Finally, appropriate vitro, vivo, silico preclinical investigations presented, with goal inspiring strategic new therapeutics.

Язык: Английский

Процитировано

110

Drug-microbiota interactions: an emerging priority for precision medicine DOI Creative Commons
Qing Zhao, Yao Chen, Weihua Huang

и другие.

Signal Transduction and Targeted Therapy, Год журнала: 2023, Номер 8(1)

Опубликована: Окт. 9, 2023

Abstract Individual variability in drug response (IVDR) can be a major cause of adverse reactions (ADRs) and prolonged therapy, resulting substantial health economic burden. Despite extensive research pharmacogenomics regarding the impact individual genetic background on pharmacokinetics (PK) pharmacodynamics (PD), diversity explains only limited proportion IVDR. The role gut microbiota, also known as second genome, its metabolites modulating therapeutic outcomes human diseases have been highlighted by recent studies. Consequently, burgeoning field pharmacomicrobiomics aims to explore correlation between microbiota variation IVDR or ADRs. This review presents an up-to-date overview intricate interactions classical agents for systemic diseases, including cancer, cardiovascular (CVDs), endocrine others. We summarise how directly indirectly, modify absorption, distribution, metabolism, excretion (ADME) drugs. Conversely, drugs modulate composition function leading changes microbial metabolism immune response. discuss practical challenges, strategies, opportunities this field, emphasizing critical need develop innovative approach multi-omics, integrate various data types, genomic data, well translate lab into clinical practice. To sum up, represents promising avenue address improve patient outcomes, further is imperative unlock full potential precision medicine.

Язык: Английский

Процитировано

80

Longevity of centenarians is reflected by the gut microbiome with youth-associated signatures DOI

Shifu Pang,

Xiaohong Chen,

Zhilong Lu

и другие.

Nature Aging, Год журнала: 2023, Номер 3(4), С. 436 - 449

Опубликована: Апрель 6, 2023

Язык: Английский

Процитировано

79

New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson’s disease DOI

Rohan Gupta,

Smita Kumari,

Anusha Senapati

и другие.

Ageing Research Reviews, Год журнала: 2023, Номер 90, С. 102013 - 102013

Опубликована: Июль 8, 2023

Язык: Английский

Процитировано

54

Clinical translation of advanced colonic drug delivery technologies DOI
Atheer Awad,

Christine M. Madla,

Laura E. McCoubrey

и другие.

Advanced Drug Delivery Reviews, Год журнала: 2021, Номер 181, С. 114076 - 114076

Опубликована: Дек. 8, 2021

Язык: Английский

Процитировано

101

Perspective: Leveraging the Gut Microbiota to Predict Personalized Responses to Dietary, Prebiotic, and Probiotic Interventions DOI Creative Commons
Sean M. Gibbons, Thomas Gurry, Johanna W. Lampe

и другие.

Advances in Nutrition, Год журнала: 2022, Номер 13(5), С. 1450 - 1461

Опубликована: Июль 1, 2022

Humans often show variable responses to dietary, prebiotic, and probiotic interventions. Emerging evidence indicates that the gut microbiota is a key determinant for this population heterogeneity. Here, we provide an overview of some major computational experimental tools being applied critical questions microbiota-mediated personalized nutrition health. First, discuss latest advances in silico modeling microbiota-nutrition-health axis, including application statistical, mechanistic, hybrid artificial intelligence models. Second, address high-throughput vitro techniques assessing interindividual heterogeneity, from ex vivo batch culturing stool continuous anaerobic bioreactors, more sophisticated organ-on-a-chip models integrate both host microbial compartments. Third, explore approaches better understanding personalized, diet, prebiotics, probiotics, nonhuman animal human observational studies, feeding trials crossover We highlight examples existing, consumer-facing precision platforms are currently leveraging microbiota. Furthermore, how integration broader set described piece can generate data necessary support greater diversity strategies. Finally, present vision healthcare future, which leverages design effective, individual-specific

Язык: Английский

Процитировано

44