The Impact of Food Additives on the Abundance and Composition of Gut Microbiota DOI Creative Commons

Xuewei Zhou,

Kaina Qiao,

Huimin Wu

и другие.

Molecules, Год журнала: 2023, Номер 28(2), С. 631 - 631

Опубликована: Янв. 7, 2023

The gut microbiota has been confirmed as an important part in human health, and is even take ‘organ’. interaction between the host intestinal environment plays a key role digestion, metabolism, immunity, inflammation, diseases. dietary component major factor that affects composition function of microbiota. Food additives have widely used to improve color, taste, aroma, texture, nutritional quality processed food. increasing variety quantity food diets lead increased frequency dose exposure, especially artificial additives, which become concern consumers. There are studies focusing on impact microbiota, long-term exposure could induce changes microbes, related health disease. Therefore, aim this review summarize additives.

Язык: Английский

dbCAN3: automated carbohydrate-active enzyme and substrate annotation DOI Creative Commons
Jinfang Zheng,

Qiwei Ge,

Yuchen Yan

и другие.

Nucleic Acids Research, Год журнала: 2023, Номер 51(W1), С. W115 - W121

Опубликована: Май 1, 2023

Carbohydrate active enzymes (CAZymes) are made by various organisms for complex carbohydrate metabolism. Genome mining of CAZymes has become a routine data analysis in (meta-)genome projects, owing to the importance bioenergy, microbiome, nutrition, agriculture, and global carbon recycling. In 2012, dbCAN was provided as an online web server automated CAZyme annotation. dbCAN2 (https://bcb.unl.edu/dbCAN2) further developed 2018 meta combine multiple tools improved also included CGC-Finder, tool identifying gene clusters (CGCs) (meta-)genomes. We have updated dbCAN3 with following new functions components: (i) dbCAN-sub profile Hidden Markov Model database (HMMdb) substrate prediction at subfamily level; (ii) searching against experimentally characterized polysaccharide utilization loci (PULs) known glycan substates dbCAN-PUL CGC (iii) majority voting method consider all predicted from (iv) browsing visualization results on website. summary, not only inherits dbCAN2, but integrates three methods prediction.

Язык: Английский

Процитировано

383

Gut microbiota and its metabolites in depression: from pathogenesis to treatment DOI Creative Commons
Lanxiang Liu, Haiyang Wang, Xueyi Chen

и другие.

EBioMedicine, Год журнала: 2023, Номер 90, С. 104527 - 104527

Опубликована: Март 22, 2023

Язык: Английский

Процитировано

275

Rethinking healthy eating in light of the gut microbiome DOI Creative Commons
Anissa M. Armet, Edward C. Deehan, A. O'Sullivan

и другие.

Cell Host & Microbe, Год журнала: 2022, Номер 30(6), С. 764 - 785

Опубликована: Июнь 1, 2022

Язык: Английский

Процитировано

149

The gut microbiome and hypertension DOI
Joanne A. O’Donnell, Tenghao Zheng, Guillaume Méric

и другие.

Nature Reviews Nephrology, Год журнала: 2023, Номер 19(3), С. 153 - 167

Опубликована: Янв. 11, 2023

Язык: Английский

Процитировано

131

Dairying, diseases and the evolution of lactase persistence in Europe DOI
Richard P. Evershed, George Davey Smith, Mélanie Roffet‐Salque

и другие.

Nature, Год журнала: 2022, Номер 608(7922), С. 336 - 345

Опубликована: Июль 27, 2022

Язык: Английский

Процитировано

125

Lactobacillus and intestinal diseases: Mechanisms of action and clinical applications DOI Creative Commons

Roujie Huang,

Fei Wu,

Qian Zhou

и другие.

Microbiological Research, Год журнала: 2022, Номер 260, С. 127019 - 127019

Опубликована: Апрель 9, 2022

Язык: Английский

Процитировано

124

ABO genotype alters the gut microbiota by regulating GalNAc levels in pigs DOI Open Access
Hui Yang,

Jinyuan Wu,

Xiaochang Huang

и другие.

Nature, Год журнала: 2022, Номер 606(7913), С. 358 - 367

Опубликована: Апрель 27, 2022

Язык: Английский

Процитировано

107

Toward a Deeper Understanding of Gut Microbiome in Depression: The Promise of Clinical Applicability DOI Creative Commons
Lanxiang Liu, Haiyang Wang,

Hanping Zhang

и другие.

Advanced Science, Год журнала: 2022, Номер 9(35)

Опубликована: Окт. 26, 2022

The emergence of the coronavirus disease 2019 pandemic has dramatically increased global prevalence depression. Unfortunately, antidepressant drugs benefit only a small minority patients. Thus, there is an urgent need to develop new interventions. Accumulating evidence supports causal relationship between gut microbiota dysbiosis and To advance microbiota-based diagnostics therapeutics depression, comprehensive overview microbial alterations in depression presented identify effector biomarkers. This procedure generated 215 bacterial taxa from humans 312 animal models. Compared controls, shows significant differences β-diversity, but no changes richness diversity. Additionally, species-specific are identified like Eggerthella decreased Acetatifactor rodent Moreover, disrupted microbiome balance functional changes, characterized by enrichment pro-inflammatory bacteria (e.g., Desulfovibrio Escherichia/Shigella) depletion anti-inflammatory butyrate-producing Bifidobacterium Faecalibacterium) consistently shared across species. Confounding effects geographical region, type, intestinal segments also investigated. Ultimately, total 178 species subspecies probiotics alleviate depressive phenotypes. Current findings provide foundation for developing advancing microbiota-oriented precision medicine

Язык: Английский

Процитировано

89

Challenges and future directions for studying effects of host genetics on the gut microbiome DOI
Serena Sanna, Alexander Kurilshikov, Adriaan van der Graaf

и другие.

Nature Genetics, Год журнала: 2022, Номер 54(2), С. 100 - 106

Опубликована: Фев. 1, 2022

Язык: Английский

Процитировано

81

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