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Quesada S, Rosso AD, Mascardi F, Soler-Rivero V, Aguilera P, Mascuka SN, Boiro A, Arenielo E, Vijoditz G, Ferreyra-Mufarregue LR, Caputo MF, Cimolai MC, Coluccio Leskow F, Penas-Steinhardt A, Belforte FS. Integrative analysis of systemic lupus erythematosus biomarkers: Role of fecal hsa-mir-223-3p and gut microbiota in transkingdom dynamics. Mol Immunol 2024; 171:77-92. [PMID: 38795687 DOI: 10.1016/j.molimm.2024.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/20/2024] [Accepted: 05/10/2024] [Indexed: 05/28/2024]
Abstract
Systemic lupus erythematosus (SLE) involves a florid set of clinical manifestations whose autoreactive origin is characterized by an overactivation of the immune system and the production of a large number of autoantibodies. Because it is a complex pathology with an inflammatory component, its pathogenesis is not yet fully understood, assuming both genetic and environmental predisposing factors. Currently, it is known that the role of the human microbiome is crucial in maintaining the transkingdom balance between commensal microorganisms and the immune system. In the present work we study the intestinal microbiota of Argentine patients with different stages of SLE receiving or not different treatments. Microbiota composition and fecal miRNAs were assessed by 16 S sequencing and qPCR. hsa-miR-223-3p, a miRNA involved in several inflammation regulation pathways, was found underexpressed in SLE patients without immunosuppressive treatment. In terms of microbiota there were clear differences in population structure (Weighted and Unweighted Unifrac distances, p-value <0.05) and core microbiome between cases and controls. In addition, Collinsella, Bifidobacterium, Streptococcus genera and aromatics degradation metabolisms were overrepresented in the SLE group. Medical treatment was also determinant as several microbial metabolic pathways were influenced by immunosuppressive therapy. Particularly, allantoin degradation metabolism was differentially expressed in the group of patients receiving immunosuppressants. Finally, we performed a logistic regression model (LASSO: least absolute shrinkage and selection operator) considering the expression levels of the fecal hsa-miR223-3p; the core microbiota; the differentially abundant bacterial taxa and the differentially abundant metabolic pathways (p<0.05). The model predicted that SLE patients could be associated with greater relative abundance of the formaldehyde oxidation pathway (RUMP_PWY). On the contrary, the preponderance of the ketodeoxyoctonate (Kdo) biosynthesis and activation route (PWY_1269) and the genera Lachnospiraceae_UCG_004, Lachnospira, Victivallis and UCG_003 (genus belonging to the family Oscillospiraceae of the class Clostridia) were associated with a control phenotype. Overall, the present work could contribute to the development of integral diagnostic tools for the comprehensive phenotyping of patients with SLE. In this sense, studying the commensal microbial profile and possible pathobionts associated with SLE in our population proposes more effective and precise strategies to explore possible treatments based on the microbiota of SLE patients.
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Affiliation(s)
- Sofía Quesada
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
| | - Ayelén Daiana Rosso
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Instituto de Ecología y Desarrollo Sustentable (INEDES-CONICET-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina
| | - Florencia Mascardi
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de Buenos Aires (HIBA), Buenos Aires, Argentina
| | - Valeria Soler-Rivero
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina
| | - Pablo Aguilera
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
| | - Sebastian Nicolas Mascuka
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina
| | - Andrea Boiro
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina
| | - Evangelina Arenielo
- Sección Inmunología, Hospital Nacional Profesor Alejandro Posadas, Buenos Aires, Argentina
| | - Gustavo Vijoditz
- Sección Inmunología, Hospital Nacional Profesor Alejandro Posadas, Buenos Aires, Argentina
| | | | - Marina Flavia Caputo
- Sección Inmunología, Hospital Nacional Profesor Alejandro Posadas, Buenos Aires, Argentina
| | - María Cecilia Cimolai
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina
| | - Federico Coluccio Leskow
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
| | - Alberto Penas-Steinhardt
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Instituto Universitario de Ciencias de la Salud, Fundación H.A. Barceló, Ciudad Autónoma de Buenos Aires, Argentina
| | - Fiorella Sabrina Belforte
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Instituto de Ecología y Desarrollo Sustentable (INEDES-CONICET-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina.
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2
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Rosso AD, Aguilera P, Quesada S, Mascardi F, Mascuka SN, Cimolai MC, Cerezo J, Spiazzi R, Conlon C, Milano C, Iraola GM, Penas-Steinhardt A, Belforte FS. Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context. Microorganisms 2022; 10:2190. [PMID: 36363782 PMCID: PMC9698371 DOI: 10.3390/microorganisms10112190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/27/2022] [Accepted: 11/01/2022] [Indexed: 11/06/2022] Open
Abstract
Inflammatory bowel disease (IBD) is the most common form of intestinal inflammation associated with a dysregulated immune system response to the commensal microbiota in a genetically susceptible host. IBD includes ulcerative colitis (UC) and Crohn's disease (CD), both of which are remarkably heterogeneous in their clinical presentation and response to treatment. This translates into a notable diagnostic challenge, especially in underdeveloped countries where IBD is on the rise and access to diagnosis or treatment is not always accessible for chronic diseases. The present work characterized, for the first time in our region, epigenetic biomarkers and gut microbial profiles associated with UC and CD patients in the Buenos Aires Metropolitan area and revealed differences between non-IBD controls and IBD patients. General metabolic functions associated with the gut microbiota, as well as core microorganisms within groups, were also analyzed. Additionally, the gut microbiota analysis was integrated with relevant clinical, biochemical and epigenetic markers considered in the follow-up of patients with IBD, with the aim of generating more powerful diagnostic tools to discriminate phenotypes. Overall, our study provides new insights into data analysis algorithms to promote comprehensive phenotyping tools using quantitative and qualitative analysis in a transkingdom interactions network context.
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Affiliation(s)
- Ayelén D. Rosso
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1425FQB, Argentina
- Instituto de Ecología y Desarrollo Sustentable (INEDES-CONICET-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
| | - Pablo Aguilera
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1425FQB, Argentina
| | - Sofía Quesada
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1425FQB, Argentina
| | - Florencia Mascardi
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1425FQB, Argentina
- Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de Buenos Aires (HIBA), Ciudad Autónoma de Buenos Aires C1199, Argentina
| | - Sebastian N. Mascuka
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
| | - María C. Cimolai
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
| | - Jimena Cerezo
- Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina
| | - Renata Spiazzi
- Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina
| | - Carolina Conlon
- Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina
| | - Claudia Milano
- Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina
| | - Gregorio M. Iraola
- Laboratorio de Genómica Microbiana, Institut Pasteur Montevideo, Montevideo 11400, Uruguay
- Centro de Biología Integrativa, Universidad Mayor, Santiago 7510041, Chile
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridgeshire CB10 1SA, UK
| | - Alberto Penas-Steinhardt
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1425FQB, Argentina
- Instituto Universitario de Ciencias de la Salud, Fundación H.A. Barceló, Ciudad Autónoma de Buenos Aires 1127, Argentina
| | - Fiorella S. Belforte
- Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1425FQB, Argentina
- Instituto de Ecología y Desarrollo Sustentable (INEDES-CONICET-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina
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3
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Yuan S, Yang J, Jian Y, Lei Y, Yao S, Hu Z, Liu X, Tang C, Liu W. Treadmill Exercise Modulates Intestinal Microbes and Suppresses LPS Displacement to Alleviate Neuroinflammation in the Brains of APP/PS1 Mice. Nutrients 2022; 14:nu14194134. [PMID: 36235786 PMCID: PMC9572649 DOI: 10.3390/nu14194134] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/03/2022] [Accepted: 10/04/2022] [Indexed: 11/06/2022] Open
Abstract
Neuroinflammation occurs throughout the pathogenesis of Alzheimer’s disease (AD). Here, we investigated the effects of treadmill exercise on neuroinflammation in APP/PS1 transgenic AD mice and the potential involvement of microbe–gut–brain axis (MGB) mechanisms based on growing evidence that AD’s pathogenesis is correlated with a deterioration in the function of gut microbiota. APP/PS1 transgenic AD mice were subjected to 12 weeks of treadmill exercise, followed by spatial memory tests. After the behavioral study, the amyloid (Aβ) pathology, gut microbes and metabolites, bacterial lipopolysaccharide (LPS) displacement, and degree of neuroinflammation were analyzed. We found that this strategy of exercise enriched gut microbial diversity and alleviated neuroinflammation in the brain. Notably, exercise led to reductions in pathogenic bacteria such as intestinal Allobaculum, increases in probiotic bacteria such as Akkermansia, increased levels of intestine–brain barrier proteins, and attenuated LPS displacement. These results suggest that prolonged exercise can effectively modulate gut microbes and the intestinal barrier and thereby reduce LPS displacement and ultimately alleviate AD-related neuroinflammation.
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Affiliation(s)
- Shunling Yuan
- Hunan Provincial Key Laboratory of Physical Fitness and Sports Rehabilitation, Hunan Normal University, Changsha 410012, China
| | - Jialun Yang
- Hunan Provincial Key Laboratory of Physical Fitness and Sports Rehabilitation, Hunan Normal University, Changsha 410012, China
| | - Ye Jian
- Hunan Provincial Key Laboratory of Physical Fitness and Sports Rehabilitation, Hunan Normal University, Changsha 410012, China
| | - Yong Lei
- Hunan Provincial Key Laboratory of Physical Fitness and Sports Rehabilitation, Hunan Normal University, Changsha 410012, China
| | - Sisi Yao
- Hunan Provincial Key Laboratory of Physical Fitness and Sports Rehabilitation, Hunan Normal University, Changsha 410012, China
| | - Zelin Hu
- Hunan Provincial Key Laboratory of Physical Fitness and Sports Rehabilitation, Hunan Normal University, Changsha 410012, China
| | - Xia Liu
- Hunan Provincial Key Laboratory of Physical Fitness and Sports Rehabilitation, Hunan Normal University, Changsha 410012, China
| | - Changfa Tang
- Hunan Provincial Key Laboratory of Physical Fitness and Sports Rehabilitation, Hunan Normal University, Changsha 410012, China
| | - Wenfeng Liu
- Hunan Provincial Key Laboratory of Physical Fitness and Sports Rehabilitation, Hunan Normal University, Changsha 410012, China
- Key Laboratory of Protein Chemistry and Developmental Biology of Ministry of Education, Hunan Normal University, Changsha 410081, China
- Correspondence:
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4
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Aguilera P, Mascardi MF, Belforte FS, Rosso AD, Quesada S, Llovet I, Iraola G, Trinks J, Penas-Steinhardt A. A Two-Time Point Analysis of Gut Microbiota in the General Population of Buenos Aires and Its Variation Due to Preventive and Compulsory Social Isolation During the COVID-19 Pandemic. Front Microbiol 2022; 13:803121. [PMID: 35401432 PMCID: PMC8988235 DOI: 10.3389/fmicb.2022.803121] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/14/2022] [Indexed: 01/02/2023] Open
Abstract
The COVID-19 pandemic poses a great challenge to global public health. The extraordinary daily use of household disinfectants and cleaning products, social distancing and the loss of everyday situations that allow contact between individuals, have a direct impact on the transfer of microorganisms within the population. Together, these changes, in addition to those that occur in eating habits, can affect the composition and diversity of the gut microbiota. A two-time point analysis of the fecal microbiota of 23 Metropolitan Buenos Aires (BA) inhabitants was carried out, to compare pre-pandemic data and its variation during preventive and compulsory social isolation (PCSI) in 2020. To this end, 23 healthy subjects, who were previously studied by our group in 2016, were recruited for a second time during the COVID-19 pandemic, and stool samples were collected from each subject at each time point (n = 46). The hypervariable region V3-V4 of the 16S rRNA gene was high-throughput sequenced. We found significant differences in the estimated number of observed features (p < 0.001), Shannon entropy index (p = 0.026) and in Faith phylogenetic diversity (p < 0.001) between pre-pandemic group (PPG) vs. pandemic group (PG), being significantly lower in the PG. Although no strong change was observed in the core microbiota between the groups in this study, a significant decrease was observed during PCSI in the phylum Verrucomicrobia, which contributes to intestinal health and glucose homeostasis. Microbial community structure (beta diversity) was also compared between PPG and PG. The differences observed in the microbiota structure by unweighted UniFrac PCoA could be explained by six differential abundant genera that were absent during PCSI. Furthermore, putative functional genes prediction using PICRUSt infers a smaller predicted prevalence of genes in the intestinal tryptophan, glycine-betaine, taurine, benzoate degradation, as well as in the synthesis of vitamin B12 during PCSI. This data supports the hypothesis that the microbiome of the inhabitants of BA changed in the context of isolation during PCSI. Therefore, these results could increase the knowledge necessary to propose strategic nutraceutical, functional food, probiotics or similar interventions that contribute to improving public health in the post-pandemic era.
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Affiliation(s)
- Pablo Aguilera
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - María Florencia Mascardi
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
- Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de Buenos Aires (HIBA), Buenos Aires, Argentina
| | - Fiorella Sabrina Belforte
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
- Laboratorio de Genómica Computacional (GEC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina
- Departamento de Ciencias Básicas, Instituto de Ecología y Desarrollo Sustentable (INEDES) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)-UNLu, Universidad Nacional de Luján, Luján, Argentina
| | - Ayelén Daiana Rosso
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
- Laboratorio de Genómica Computacional (GEC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina
- Departamento de Ciencias Básicas, Instituto de Ecología y Desarrollo Sustentable (INEDES) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)-UNLu, Universidad Nacional de Luján, Luján, Argentina
| | - Sofía Quesada
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
- Laboratorio de Genómica Computacional (GEC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina
| | - Ignacio Llovet
- Departamento de Ciencias Sociales, Universidad Nacional de Luján, Luján, Argentina
| | - Gregorio Iraola
- Microbial Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Wellcome Sanger Institute, Hinxton, United Kingdom
- Center for Integrative Biology, Universidad Mayor, Santiago de Chile, Chile
| | - Julieta Trinks
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
- Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de Buenos Aires (HIBA), Buenos Aires, Argentina
| | - Alberto Penas-Steinhardt
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
- Laboratorio de Genómica Computacional (GEC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina
- Fundación H.A. Barceló, Instituto Universitario de Ciencias de la Salud, Buenos Aires, Argentina
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Roshanravan N, Askari SF, Fazelian S, Ayati MH, Namazi N. The roles of quercetin in diabetes mellitus and related metabolic disorders; special focus on the modulation of gut microbiota: A comprehensive review. Crit Rev Food Sci Nutr 2021:1-14. [PMID: 34620011 DOI: 10.1080/10408398.2021.1983765] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Quercetin is a dietary flavonoid that can affect the balance between anti-oxidant defense system and oxidative stress. A number of studies showed the positive effects of quercetin on diabetes mellitus and related metabolic disorders through different pathways such as gut flora. However, findings are conflicting. In addition, it seems no studies have summarized all potential mechanisms of quercetin in diabetes mellitus, so far. Therefore, the aims of the present comprehensive review were to provide an overview on biological and biochemical characteristics of quercetin and investigate the effect of quercetin on diabetes mellitus and related metabolic disorders by focusing on its effects on the modulation of gut microbiota. For this purpose, findings of In vitro, animal studies, clinical trials, and review studies with the English language published until January 2021 were summarized. They were identified through electronic databases (PubMed, Scopus, and Cochrane Library) and Google Scholar. Findings showed that quercetin can be an effective component for improving glycemic status and other metabolic disorders related to diabetes mellitus based on In vitro and animal studies. However, environmental factors, food processing and using nanoformulations can affect its efficacy in human studies. Several potential mechanisms, including the modulation of gut flora are proposed for its actions. However, due to limited clinical trials and contradictory findings, more high-quality clinical trials are needed to make a decision on the efficacy of supplementation with quercetin as a complementary therapy for the management of diabetes mellitus, metabolic disorders, and modulating gut flora.
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Affiliation(s)
- Neda Roshanravan
- Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sayyedeh Fatemeh Askari
- Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.,Department of Phytopharmaceuticals (Traditional Pharmacy), School of Pharmacy, Birjand University of Medical Sciences, Birjand, Iran
| | - Siavash Fazelian
- Clinical Research Development Unit, Ayatollah Kashani Hospital, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Mohammad Hossein Ayati
- School of Persian Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazli Namazi
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Young C, Wood HM, Seshadri RA, Van Nang P, Vaccaro C, Melendez LC, Bose M, Van Doi M, Piñero TA, Valladares CT, Arguero J, Balaguer AF, Thompson KN, Yan Y, Huttenhower C, Quirke P. The colorectal cancer-associated faecal microbiome of developing countries resembles that of developed countries. Genome Med 2021; 13:27. [PMID: 33593386 PMCID: PMC7887780 DOI: 10.1186/s13073-021-00844-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 02/04/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The incidence of colorectal cancer (CRC) is increasing in developing countries, yet limited research on the CRC- associated microbiota has been conducted in these areas, in part due to scarce resources, facilities, and the difficulty of fresh or frozen stool storage/transport. Here, we aimed (1) to establish a broad representation of diverse developing countries (Argentina, Chile, India, and Vietnam); (2) to validate a 'resource-light' sample-collection protocol translatable in these settings using guaiac faecal occult blood test (gFOBT) cards stored and, importantly, shipped internationally at room temperature; (3) to perform initial profiling of the collective CRC-associated microbiome of these developing countries; and (4) to compare this quantitatively with established CRC biomarkers from developed countries. METHODS We assessed the effect of international storage and transport at room temperature by replicating gFOBT from five UK volunteers, storing two in the UK, and sending replicates to institutes in the four countries. Next, to determine the effect of prolonged UK storage, DNA extraction replicates for a subset of samples were performed up to 252 days apart. To profile the CRC-associated microbiome of developing countries, gFOBT were collected from 41 treatment-naïve CRC patients and 40 non-CRC controls from across the four institutes, and V4 16S rRNA gene sequencing was performed. Finally, we constructed a random forest (RF) model that was trained and tested against existing datasets from developed countries. RESULTS The microbiome was stably assayed when samples were stored/transported at room temperature and after prolonged UK storage. Large-scale microbiome structure was separated by country and continent, with a smaller effect from CRC. Importantly, the RF model performed similarly to models trained using external datasets and identified similar taxa of importance (Parvimonas, Peptostreptococcus, Fusobacterium, Alistipes, and Escherichia). CONCLUSIONS This study demonstrates that gFOBT, stored and transported at room temperature, represents a suitable method of faecal sample collection for amplicon-based microbiome biomarkers in developing countries and suggests a CRC-faecal microbiome association that is consistent between developed and developing countries.
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Affiliation(s)
- Caroline Young
- Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Level 4 Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK.
| | - Henry M Wood
- Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Level 4 Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK
| | | | - Pham Van Nang
- Can Tho University of Medicine and Pharmacy, Can Tho, Vietnam
| | - Carlos Vaccaro
- Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de buenos Aires (HIBA), Buenos Aires, Argentina
| | | | | | - Mai Van Doi
- Can Tho University of Medicine and Pharmacy, Can Tho, Vietnam
| | - Tamara Alejandra Piñero
- Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de buenos Aires (HIBA), Buenos Aires, Argentina
| | | | - Julieta Arguero
- Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de buenos Aires (HIBA), Buenos Aires, Argentina
| | - Alba Fuentes Balaguer
- Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Level 4 Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK
| | - Kelsey N Thompson
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA
| | - Yan Yan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA
| | - Philip Quirke
- Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Level 4 Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK
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7
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Metagenomic analysis of gut microbiota in non-treated plaque psoriasis patients stratified by disease severity: development of a new Psoriasis-Microbiome Index. Sci Rep 2020; 10:12754. [PMID: 32728075 PMCID: PMC7391695 DOI: 10.1038/s41598-020-69537-3] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 07/07/2020] [Indexed: 02/06/2023] Open
Abstract
Psoriasis is an immune-mediated skin disorder. Imbalance of gut microbial populations has been implicated in many diseases. We aimed to investigate whether there were differences in gut microbiota in psoriasis patients vs non-psoriasis controls and between psoriasis severity groups. 55 psoriasis patients and 27 controls were included. V3–V4 regions of the 16S rRNA gene of fecal samples were analyzed using Illumina MiSeq. Bioinformatic analysis was performed. We found changes in gut microbiome composition depending on their psoriasis status as determined by weighted unifrac (p < 0.05), in particular an increase in Firmicutes and depletion of Bacteroidetes in psoriasis patients. Additionally, the Faecalibacterium and Blautia genus were higher in psoriasis patients while Bacteroides and Paraprevotella in non-psoriasis controls (p < 0.05, LDA score > 2). Moderate-to-severe psoriasis patients had lower biodiversity than mild psoriatic patients (p = 0.049). No differences for beta-diversity were found. We developed a Psoriasis-Microbiota Index (PMI), which discriminated among psoriasis patients and controls with sensitivity: 0.78 and specificity: 0.79. Furthermore, we performed a meta-analysis with published data to validate this index. We demonstrated gut dysbiosis in psoriasis patients, suggesting a role in psoriasis pathophysiology. Furthermore, we developed a PMI with the potential to discriminate between psoriasis patients and controls across different populations, which could be used as a biomarker in the clinical practice.
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Magne F, Gotteland M, Gauthier L, Zazueta A, Pesoa S, Navarrete P, Balamurugan R. The Firmicutes/Bacteroidetes Ratio: A Relevant Marker of Gut Dysbiosis in Obese Patients? Nutrients 2020; 12:nu12051474. [PMID: 32438689 PMCID: PMC7285218 DOI: 10.3390/nu12051474] [Citation(s) in RCA: 1015] [Impact Index Per Article: 253.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 05/07/2020] [Accepted: 05/14/2020] [Indexed: 12/16/2022] Open
Abstract
The gut microbiota is emerging as a promising target for the management or prevention of inflammatory and metabolic disorders in humans. Many of the current research efforts are focused on the identification of specific microbial signatures, more particularly for those associated with obesity, type 2 diabetes, and cardiovascular diseases. Some studies have described that the gut microbiota of obese animals and humans exhibits a higher Firmicutes/Bacteroidetes ratio compared with normal-weight individuals, proposing this ratio as an eventual biomarker. Accordingly, the Firmicutes/Bacteroidetes ratio is frequently cited in the scientific literature as a hallmark of obesity. The aim of the present review was to discuss the validity of this potential marker, based on the great amount of contradictory results reported in the literature. Such discrepancies might be explained by the existence of interpretative bias generated by methodological differences in sample processing and DNA sequence analysis, or by the generally poor characterization of the recruited subjects and, more particularly, the lack of consideration of lifestyle-associated factors known to affect microbiota composition and/or diversity. For these reasons, it is currently difficult to associate the Firmicutes/Bacteroidetes ratio with a determined health status and more specifically to consider it as a hallmark of obesity.
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Affiliation(s)
- Fabien Magne
- Microbiology and Mycology Program, ICBM, Faculty of Medicine, University of Chile, Santiago 8320000, Chile;
- Correspondence: (F.M.); (M.G.); Tel.: +56-2-2978-9627 (F.M.)
| | - Martin Gotteland
- Department of Nutrition, Faculty of Medicine, University of Chile, Santiago 8320000, Chile;
- Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago 7830490, Chile;
- Millennium Nucleus in the Biology of Intestinal Microbiota, Santiago 7830490, Chile
- Correspondence: (F.M.); (M.G.); Tel.: +56-2-2978-9627 (F.M.)
| | - Lea Gauthier
- Department of Nutrition, Faculty of Medicine, University of Chile, Santiago 8320000, Chile;
| | - Alejandra Zazueta
- Microbiology and Mycology Program, ICBM, Faculty of Medicine, University of Chile, Santiago 8320000, Chile;
| | - Susana Pesoa
- Department of Molecular Diagnosis, LACE Laboratories, Córdoba X5000, Argentina;
| | - Paola Navarrete
- Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago 7830490, Chile;
- Millennium Nucleus in the Biology of Intestinal Microbiota, Santiago 7830490, Chile
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