scholarly journals Methylene Blue Attenuates Significant Shifts in the Gut Microbiome Following Traumatic Brain Injury in Rodents

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Matthew McIntyre ◽  
David M Burmeister ◽  
Shannon Scroggins ◽  
Michael O’Boyle ◽  
Zhao Lai ◽  
...  

Abstract INTRODUCTION Recent advances in DNA sequencing technology have elucidated the role that the gut microbiome (GM) plays in health and disease. There remains, however, a paucity of data on GM’s role following a traumatic brain injury (TBI). While in Vivo studies have revealed neuroprotective effects of methylene blue (MB), we hypothesized that TBI would cause significant shifts in the GM that may be attenuated using MB. METHODS Male rats underwent craniotomy and were randomized to sham (n = 6), mild TBI (1 mm; n = 10), or moderate (2 mm; n = 6) TBI induced via a pneumatic impactor, as previously described. Rats were also assigned to receive either 1 mg/kg MB or vehicle/no treatment (NT). Stool was collected for 16S rRNA sequencing preinjury, as well as 1, 3, and 7 d postinjury. Magnetic resonance imaging (MRI) was performed on a subset of animals in each group. Illumina MiSeq sequencing was performed, and MB analysis was conducted using the Qiime2 standard pipeline to determine the beta-diversity significance using PERMANOVA. RESULTS In the absence of treatment, moderate (but not mild) TBI induced a significant shift in beta-diversity by day 3 (P = .029), which became increasingly pronounced by day 7 (P = .006). Treatment with MB reversed this shift, as these animals were not different from sham on day 7 (P = .06). A significant increase in the phylum Bacteroidetes was noted after moderate TBI (P = .009), which was attenuated with MB. Although alpha-diversity was not significantly altered after TBI, the MRI lesion volume positively correlated with Faith alpha-diversity (R2 = 0.82; P = .013). CONCLUSION After moderate TBI, the GM represented a unique community compared to sham controls. The significant shift in GM beta-diversity was attenuated with the administration of MB in this in Vivo rodent model. This research may have clinical implications in the context of normalizing aberrations in the gut-brain axis following TBI.

Author(s):  
Eunyoung Park ◽  
Johnathan G. Lyon ◽  
Melissa Alvarado‐Velez ◽  
Martha I. Betancur ◽  
Nassir Mokarram ◽  
...  

2019 ◽  
Vol 59 (1) ◽  
pp. 247-252 ◽  
Author(s):  
Chunyan Li ◽  
Wanfei Li ◽  
Huanhuan Liu ◽  
Yejun Zhang ◽  
Guangcun Chen ◽  
...  

Pathogens ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 463
Author(s):  
Mariusz Sikora ◽  
Albert Stec ◽  
Magdalena Chrabaszcz ◽  
Aleksandra Knot ◽  
Anna Waskiel-Burnat ◽  
...  

(1) Background: A growing body of evidence highlights that intestinal dysbiosis is associated with the development of psoriasis. The gut–skin axis is the novel concept of the interaction between skin diseases and microbiome through inflammatory mediators, metabolites and the intestinal barrier. The objective of this study was to synthesize current data on the gut microbial composition in psoriasis. (2) Methods: We conducted a systematic review of studies investigating intestinal microbiome in psoriasis, using the PRISMA checklist. We searched MEDLINE, EMBASE, and Web of Science databases for relevant published articles (2000–2020). (3) Results: All of the 10 retrieved studies reported alterations in the gut microbiome in patients with psoriasis. Eight studies assessed alpha- and beta-diversity. Four of them reported a lack of change in alpha-diversity, but all confirmed significant changes in beta-diversity. At the phylum-level, at least two or more studies reported a lower relative abundance of Bacteroidetes, and higher Firmicutes in psoriasis patients versus healthy controls. (4) Conclusions: There is a significant association between alterations in gut microbial composition and psoriasis; however, there is high heterogeneity between studies. More unified methodological standards in large-scale studies are needed to understand microbiota’s contribution to psoriasis pathogenesis and its modulation as a potential therapeutic strategy.


2014 ◽  
Vol 31 (14) ◽  
pp. 1277-1291 ◽  
Author(s):  
Elizabeth Steuer ◽  
Michele L. Schaefer ◽  
Leonardo Belluscio

2006 ◽  
Vol 39 (6) ◽  
pp. 1086-1095 ◽  
Author(s):  
Philip V. Bayly ◽  
Erin E. Black ◽  
Rachel C. Pedersen ◽  
Elizabeth P. Leister ◽  
Guy M. Genin

Author(s):  
Isabel R. A. Retel Helmrich ◽  
David van Klaveren ◽  
Simone A. Dijkland ◽  
Hester F. Lingsma ◽  
Suzanne Polinder ◽  
...  

Abstract Background Traumatic brain injury (TBI) is a leading cause of impairments affecting Health-Related Quality of Life (HRQoL). We aimed to identify predictors of and develop prognostic models for HRQoL following TBI. Methods We used data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Core study, including patients with a clinical diagnosis of TBI and an indication for computed tomography presenting within 24 h of injury. The primary outcome measures were the SF-36v2 physical (PCS) and mental (MCS) health component summary scores and the Quality of Life after Traumatic Brain Injury (QOLIBRI) total score 6 months post injury. We considered 16 patient and injury characteristics in linear regression analyses. Model performance was expressed as proportion of variance explained (R2) and corrected for optimism with bootstrap procedures. Results 2666 Adult patients completed the HRQoL questionnaires. Most were mild TBI patients (74%). The strongest predictors for PCS were Glasgow Coma Scale, major extracranial injury, and pre-injury health status, while MCS and QOLIBRI were mainly related to pre-injury mental health problems, level of education, and type of employment. R2 of the full models was 19% for PCS, 9% for MCS, and 13% for the QOLIBRI. In a subset of patients following predominantly mild TBI (N = 436), including 2 week HRQoL assessment improved model performance substantially (R2 PCS 15% to 37%, MCS 12% to 36%, and QOLIBRI 10% to 48%). Conclusion Medical and injury-related characteristics are of greatest importance for the prediction of PCS, whereas patient-related characteristics are more important for the prediction of MCS and the QOLIBRI following TBI.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Charu Mahajan ◽  
Surbhi Khurana ◽  
Indu Kapoor ◽  
Suman Sokhal ◽  
Subodh Kumar ◽  
...  

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