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1.
Brain Behav Immun ; 115: 667-679, 2024 01.
Artículo en Inglés | MEDLINE | ID: mdl-37989444

RESUMEN

Ischemic stroke has been demonstrated to cause an imbalance of gut microbiota. However, the change in gut microbiota-mediated bile acids (BAs) metabolites remains unclear. Here, we observed a decrease in gut microbiota-mediated BAs, especially ursodeoxycholic acid (UDCA), in the serum of stroke patients as well as in the intestine, serum and brain of stroke mice. Restoration of UDCA could decrease the area of infarction and improve the neurological function and cognitive function in mice in association with inhibition of NLRP3-related pro-inflammatory cytokines through TGR5/PKA pathway. Furthermore, knocking out TGR5 and inhibiting PKA activity reduce the protective effect of UDCA. Taken together, our results suggest that microbiota-mediated UDCA plays an important role in alleviating inflammatory responses and might be a promising therapeutic target in ischemic stroke.


Asunto(s)
Microbioma Gastrointestinal , Accidente Cerebrovascular Isquémico , Accidente Cerebrovascular , Animales , Humanos , Ratones , Ácidos y Sales Biliares , Inflamación , Microglía/metabolismo , Ácido Ursodesoxicólico/metabolismo
2.
Ann Clin Microbiol Antimicrob ; 23(1): 52, 2024 Jun 15.
Artículo en Inglés | MEDLINE | ID: mdl-38879505

RESUMEN

BACKGROUND: Emerging evidence has indicated a link between the gut microbiota and acute lymphoblastic leukaemia (ALL). However, the acute changes in gut microbiota during chemotherapy and the predictive value of baseline gut microbiota in infectious complication remain largely unknown. METHODS: Faecal samples (n = 126) from children with ALL (n = 49) undergoing induction chemotherapy were collected at three timepoints, i.e., initiation of chemotherapy (baseline, T0), 7 days (T1) and 33 days (T2) after initiation of chemotherapy. Gut microbiome profile was performed via metagenomic shotgun sequencing. The bioBakery3 pipeline (Kneaddata, Metaphlan 3 and HUMAnN) was performed to assign taxonomy and functional annotations. Gut microbiome at T0 were used to predict infection during chemotherapy. RESULTS: The microbial diversities and composition changed significantly during chemotherapy, with Escherichia coli, Klebsiella pneumoniae and Bifidobacterium longum being the most prominent species. The microbial metabolic pathways were also significantly altered during chemotherapy, including the pathway of pyruvate fermentation to acetate and lactate, and assimilatory sulfate reduction pathway. The receiver operating characteristic (ROC) models based on Bifidobacterium longum at T0 could predict infectious complications during the first month of chemotherapy with the area under the curve (AUC) of 0.720. CONCLUSIONS: Our study provides new insights into the acute changes in microbial and functional characteristics in children with ALL during chemotherapy. The baseline gut microbiota could be potential biomarkers for infections during chemotherapy. TRIAL REGISTRATION: The study was approved by the Ethics Committee of Zhujiang Hospital, Southern Medical University (2021-KY-171-01) and registered on http://www.chictr.org.cn (ChiCTR2200065406, Registration Date: November 4, 2022).


Asunto(s)
Heces , Microbioma Gastrointestinal , Metagenómica , Leucemia-Linfoma Linfoblástico de Células Precursoras , Humanos , Leucemia-Linfoma Linfoblástico de Células Precursoras/tratamiento farmacológico , Microbioma Gastrointestinal/efectos de los fármacos , Femenino , Masculino , Heces/microbiología , Niño , Preescolar , Quimioterapia de Inducción , Biomarcadores , Bacterias/clasificación , Bacterias/genética , Bacterias/aislamiento & purificación , Metagenoma , Escherichia coli/genética , Klebsiella pneumoniae/genética , Klebsiella pneumoniae/efectos de los fármacos
4.
Microbiol Spectr ; : e0114023, 2023 Sep 25.
Artículo en Inglés | MEDLINE | ID: mdl-37747198

RESUMEN

Obesity is a risk factor for the development of hyperuricemia, both of which were related to gut microbiota. However, whether alterations in the gut microbiota lie in the pathways mediating obesity's effects on hyperuricemia is less clear. Body mass index (BMI) and serum uric acid (SUA) were separately important indicators of obesity and hyperuricemia. Our study aims to investigate whether BMI-related gut microbiota characteristics would mediate the association between BMI and SUA levels. A total of 6,280 participants from Guangdong Gut Microbiome Project were included in this study. Stool samples were collected for 16S rRNA gene sequencing. The results revealed that BMI was significantly and positively associated with SUA. Meanwhile, BMI was significantly associated with the abundance of 102 gut microbial genera, 16 of which were also significantly associated with SUA. The mediation analysis revealed that the association between BMI and SUA was partially mediated by the abundance of Proteobacteria (proportion mediated: 0.94%, P < 0.05). At the genus level, 25 bacterial genera, including Ralstonia, Oscillospira, Faecalibacterium, etc., could also partially mediate the association of BMI with SUA (the highest proportion is mediated by Ralstonia, proportion mediated: 2.76%, P < 0.05). This study provided evidence for the associations among BMI, gut microbiota, and SUA, and the mediation analysis suggested that the association of BMI with SUA was partially mediated by the gut microbiota. IMPORTANCE Using 16S rRNA sequencing analysis, local interpretable machine learning technique analysis and mediation analysis were used to explore the association between BMI with SUA, and the mediating effects of gut microbial dysbiosis in the association were investigated.

5.
Microorganisms ; 11(8)2023 Aug 15.
Artículo en Inglés | MEDLINE | ID: mdl-37630647

RESUMEN

Parabacteroides levels are reported to be low in obese individuals, and this genus has shown an anti-obesity capacity in animal studies. Nevertheless, the relationship between Parabacteroides and obesity in different subpopulations, e.g., with respect to age and sex, and its association with subsequent weight change have rarely been explored. The cross-sectional associations of Parabacteroides genus- and species-level OTU abundance with obesity were explored in the Guangdong Gut Microbiome Project (GGMP), which included 5843 adults, and replicated in the Guangzhou Nutrition and Health Study (GNSH), which included 1637 individuals. Furthermore, we assessed the prospective associations of Parabacteroides and its main OTUs' abundance with the subsequent changes in body mass index (BMI) in the GNSH. We found that Parabacteroides was inversely associated with obesity among females and participants aged 40-69 years in the GGMP and the replicated cohort in the GNSH. After a 3-year follow-up, there was no significant correlation between Parabacteroides and the subsequent changes in BMI. However, Seq4172 (P. johnsonii) showed a negative correlation with subsequent BMI changes in the female and middle-aged (40-69 years) subpopulations. Overall, our results indicate that Parabacteroides have an inverse relationship with obesity and that Seq4172 (P. johnsonii) have a negative association with subsequent changes in BMI among females and middle-aged populations in perspective analyses.

6.
Int Immunol ; 21(10): 1135-44, 2009 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-19684160

RESUMEN

Dendritic cells (DCs) are responsible for the initiation of immune responses. Our study demonstrates a new pathway for generating a large quantity of stimulatory monocyte-derived DCs (Mo-DCs) from human monocytes using anti-4-1BB ligand (4-1BBL) mAb to trigger reverse signaling. The anti-4-1BBL-driven Mo-DCs (DCs(alpha-4-1BBL)) not only express higher levels of CD86, CD83 and HLA-DR, when compared with the Mo-DCs matured by tumor necrosis factor alpha, but also exhibit a unique phenotype that expresses lower levels of PD-L1. High levels of GM-CSF, M-CSF and Flt3 ligand (FL) were found in the anti-4-1BBL-differentiation culture. Neutralizing M-CSF, GM-CSF and FL inhibited Mo-DC proliferation stimulated by anti-4-1BBL mAb, suggesting that M-CSF, GM-CSF and FL are involved in cell proliferation stimulated by anti-4-1BBL. Further analysis of the DCs(alpha-4-1BBL) showed increased secretion of T(h)1-type cytokines IL-12 and IFN-gamma and decreased secretion of IL-10. DCs(alpha-4-1BBL) induced much stronger proliferative responses in the mixed lymphocyte reaction assay when compared with DCs derived by GM-CSF. Moreover, DCs(alpha-4-1BBL) preferentially induced T(h)1 responses. We have further demonstrated that anti-4-1BBL antibody stimulated nuclear translocation of NF-kappaB from the cytoplasm in monocytes, suggesting that reverse signaling by 4-1BBL is likely responsible for mediating DC differentiation. Collectively, we have found that reverse signaling of 4-1BBL promotes the differentiation of potent T(h)1-inducing DCs from human monocytes.


Asunto(s)
Ligando 4-1BB/inmunología , Anticuerpos Monoclonales/farmacología , Células Dendríticas/inmunología , Factores Inmunológicos/farmacología , Monocitos/inmunología , Ligando 4-1BB/agonistas , Ligando 4-1BB/metabolismo , Antígenos CD/inmunología , Antígenos CD/metabolismo , Antígeno B7-2/inmunología , Antígeno B7-2/metabolismo , Antígeno B7-H1 , Diferenciación Celular/efectos de los fármacos , Diferenciación Celular/inmunología , Proliferación Celular/efectos de los fármacos , Células Dendríticas/efectos de los fármacos , Células Dendríticas/metabolismo , Factor Estimulante de Colonias de Granulocitos y Macrófagos/inmunología , Factor Estimulante de Colonias de Granulocitos y Macrófagos/metabolismo , Antígenos HLA-DR/inmunología , Antígenos HLA-DR/metabolismo , Humanos , Inmunoglobulinas/inmunología , Inmunoglobulinas/metabolismo , Interferón gamma/inmunología , Interferón gamma/metabolismo , Interleucina-10/inmunología , Interleucina-10/metabolismo , Interleucina-12/inmunología , Interleucina-12/metabolismo , Factor Estimulante de Colonias de Macrófagos/inmunología , Factor Estimulante de Colonias de Macrófagos/metabolismo , Glicoproteínas de Membrana/inmunología , Glicoproteínas de Membrana/metabolismo , Monocitos/efectos de los fármacos , Monocitos/metabolismo , FN-kappa B/inmunología , FN-kappa B/metabolismo , Transducción de Señal/efectos de los fármacos , Transducción de Señal/inmunología , Factor de Necrosis Tumoral alfa/inmunología , Factor de Necrosis Tumoral alfa/metabolismo , Tirosina Quinasa 3 Similar a fms/inmunología , Tirosina Quinasa 3 Similar a fms/metabolismo , Antígeno CD83
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