Emerging trends and focus of research on the relationship between traumatic brain injury and gut microbiota: a visualized study

BackgroundTraumatic brain injury (TBI) is one of the most serious types of trauma and imposes a heavy social and economic burden on healthcare systems worldwide. The development of emerging biotechnologies is uncovering the relationship between TBI and gut flora, and gut flora as a potential intervention target is of increasing interest to researchers. Nevertheless, there is a paucity of research employing bibliometric methodologies to scrutinize the interrelation between these two. Therefore, this study visualized the relationship between TBI and gut flora based on bibliometric methods to reveal research trends and hotspots in the field. The ultimate objective is to catalyze progress in the preclinical and clinical evolution of strategies for treating and managing TBI.MethodsTerms related to TBI and gut microbiota were combined to search the Scopus database for relevant documents from inception to February 2023. Visual analysis was performed using CiteSpace and VOSviewer.ResultsFrom September 1972 to February 2023, 2,957 documents published from 98 countries or regions were analyzed. The number of published studies on the relationship between TBI and gut flora has risen exponentially, with the United States, China, and the United Kingdom being representative of countries publishing in related fields. Research has formed strong collaborations around highly productive authors, but there is a relative lack of international cooperation. Research in this area is mainly published in high-impact journals in the field of neurology. The “intestinal microbiota and its metabolites,” “interventions,” “mechanism of action” and “other diseases associated with traumatic brain injury” are the most promising and valuable research sites. Targeting the gut flora to elucidate the mechanisms for the development of the course of TBI and to develop precisely targeted interventions and clinical management of TBI comorbidities are of great significant research direction and of interest to researchers.ConclusionThe findings suggest that close attention should be paid to the relationship between gut microbiota and TBI, especially the interaction, potential mechanisms, development of emerging interventions, and treatment of TBI comorbidities. Further investigation is needed to understand the causal relationship between gut flora and TBI and its specific mechanisms, especially the “brain-gut microbial axis.

Effect of Hypothermia Therapy on Children with Traumatic Brain Injury: A Meta-Analysis of Randomized Controlled Trials

Hypothermia therapy is a promising therapeutic strategy for traumatic brain injury (TBI); however, some trials have shown that hypothermia therapy has a negative effect on patients with TBI. The treatment of hypothermia in children with TBI remains controversial. We conducted a search of six online databases to validate the literature on comparing hypothermia with normal therapy for children with TBI. Eight randomized controlled trials (514 patients) were included. The meta-analysis indicated that hypothermia therapy may increase the Glasgow Outcome Scale (GOS) scores. However, in terms of improving the rate of complications, intracranial pressure (ICP), mortality, cerebral perfusion pressure (CPP), and length of stay both in hospital as well as pediatric ICU, the difference was not statistically significant. Hypothermia therapy may have clinical advantages in improving the GOS scores in children with TBI compared with normothermic therapy, but hypothermia therapy may have no benefit in improving the incidence of complications, ICP, mortality, CPP, and length of stay both in pediatric ICU as well as hospital. The decision to implement hypothermia therapy for children with TBI depends on the advantages and disadvantages from many aspects and these must be considered comprehensively

DataSheet1_A metabolism-related gene signature for predicting the prognosis in thyroid carcinoma.docx

Metabolic reprogramming is one of the cancer hallmarks, important for the survival of malignant cells. We investigated the prognostic value of genes associated with metabolism in thyroid carcinoma (THCA). A prognostic risk model of metabolism-related genes (MRGs) was built and tested based on datasets in The Cancer Genome Atlas (TCGA), with univariate Cox regression analysis, LASSO, and multivariate Cox regression analysis. We used Kaplan-Meier (KM) curves, time-dependent receiver operating characteristic curves (ROC), a nomogram, concordance index (C-index) and restricted mean survival (RMS) to assess the performance of the risk model, indicating the splendid predictive performance. We established a three-gene risk model related to metabolism, consisting of PAPSS2, ITPKA, and CYP1A1. The correlation analysis in patients with different risk statuses involved immune infiltration, mutation and therapeutic reaction. We also performed pan-cancer analyses of model genes to predict the mutational value in various cancers. Our metabolism-related risk model had a powerful predictive capability in the prognosis of THCA. This research will provide the fundamental data for further development of prognostic markers and individualized therapy in THCA.</p

Multiselective gridization achieved by electrophilic C-X activation of dual halogen bonding cooperation

Organic science & technology (OST) become the frontier horizon after nanotechnology, information technology as well as biotechnology toward the era of consciousness. Organic nanogridarenes (ONGAs) are becoming robust nanoscaffolds for next-generation multifunctional/intelligent semiconductors with tunable cross-scale features. However, the prerequisite of trans-dimensional & intelligent design is to clarify the gridization rules for the discovery of the powerful molecular gridization protocols. Here, we report an efficient and multiselective Csp2-Csp3 gridization based on dual halogen bonding (X···π and X···S, X = Br, I) self-activated electrophilic substitution of halogenated electron-rich molecular blocks under supersonic conditions. Windmill-type nanogrids of cyclopenta[1,2-b:5,4-b\u27]dithiophene (WG4) were obtained with the maximum path selectivity (96%), nanogrid-size selectivity (67%), site-selectivity (>99%) and moderate diastereoselectivity (WG4-1-6:WG4-2-6:WG4-3-6:WG4-4-6 =1:3.3:5.3:0), superior to the previous Friedel-Crafts gridization. Mechanistic studies have revealed the roles of XBs where the X···S bonding accelerates dehalogenation after electrophilic attack, and the X···π bonding leads to the multiselectivity of WG4. Impressively, C2-symmetric WG4-1-6 (21×21×15 Å) crystallizes into a Fd3̄c space group as the 16th pure organic molecules in CCDC library and hierarchically self-assemble into a complex 3D porous superstructure