Weighted Gene Co-expression Network Analysis and Machine Learning Validation for Identifying Major Genes Related to Sjogren's Syndrome.

Sjogren's syndrome (SS) is an autoimmune disorder characterized by dry mouth and dry eyes. Its pathogenic mechanism is currently unclear. This study aims to integrate weighted gene co-expression network analysis (WGCNA) and machine learning to identify key genes associated with SS. We downloaded 3 publicly available datasets from the GEO database comprising the gene expression data of 231 SS and 78 control cases, including GSE84844, GSE48378 and GSE51092, and carried out WGCNA to elucidate differences in the abundant genes. Candidate biomarkers for SS were then identified using a LASSO regression model. Totally 6 machine-learning models were subsequently utilized for validating the biological significance of major genes according to their expression. Finally, immune cell infiltration of the SS tissue was assessed using the CIBERSORT algorithm. A weighted gene co-expression network was built to divide genes into 10 modules. Among them, blue and red modules were most closely associated with SS, and showed significant enrichment in type I interferon signaling, cellular response to type I interferon and response to virus, etc. Combined machine learning identified 5 hub genes, including OAS1, EIF2AK2, IFITM3, TOP2A and STAT1. Immune cell infiltration analysis showed that SS was associated with CD8+ T cell, CD4+ T cell, gamma delta T cell, NK cell and dendritic cell activation. WGCNA was combined with machine learning to uncover genes that may be involved in SS pathogenesis, which can be utilized for developing SS biomarkers and appropriate therapeutic targets.

Could nerve transplantation be the future of this field: a bibliometric analysis about lumbosacral plexus injury.

BACKGROUND: Lumbosacral plexus injury is a highly distressing clinical issue with profound implications for patients' quality of life. Since the publication of the first relevant study in 1953, there has been very limited progress in basic research and clinical treatment in this field, and the developmental trajectory and research priorities in this field have not been systematically summarized using scientific methods, leaving the future direction of this research to be explored. METHODS: Utilizing publications from the Web of Science (WoS) database, our research employed bibliometric methodology to analyze the fundamental components of publications, synthesize research trends, and forecast future directions. RESULTS: A total of 150 publications were included in our study, and the impressive advancement of research heat in this field can be attributed to the continuous increase in the number of papers, ranging from 14 papers in 2000 to 34 papers in 2023 over five years. Regarding the country, a central position in both quantity (H-index=125) and quality of publications (65 publications) is occupied by the United States, and close collaborations with other countries are observed. In terms of publication institutions, the highest number of publications (9 publications) is held by the Second Military Medical University. The journal with the most publications (5 publications) is the Journal of Trauma-Injury Infection and Critical Care. A pivotal role has been played by basic medical research in the development of this field. Concerning hotspots, the focus of the research core can be divided into three clusters (etiology, diagnosis and treatment; molecular, cells and mechanisms; physiology and pathology). CONCLUSION: This marks the inaugural bibliometric analysis of lumbosacral plexus injuries, offering a comprehensive overview of current publications. Our findings illuminate future research directions, international collaborations, and interdisciplinary relationships. Future research will emphasize clinical treatment and mechanism research, with a focus on sacral nerve stimulation and nerve transplantation.

Ginsenosides and Tumors: A Comprehensive and Visualized Analysis of Research Hotspots and Antitumor Mechanisms.

Background: Ginsenoside, the main active constituent of traditional Chinese medicine Ginseng, has been shown to play an important role in the prevention and treatment of cancer. However, the literature as well as the antitumor mechanisms of ginsenosides has not yet been systematically studied. Methods: We screened all relevant literature on ginsenosides and tumors from Web of Science during 2001-2021 and analyzed the extracted terms of these publications by VOSviewer and CiteSpace. DAVID online tool was used to perform Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathways analysis of ginsenoside-related genes. Cytoscape and String software were used to construct the interaction networks of ginsenoside-related genes and corresponding proteins. Results: A total of 919 publications were included in the study. A total of 122 identified keywords were mainly divided into 3 clusters: "pharmacological function research", "functional validation in animal models" and "anti-tumor efficacy and mechanism". The keywords of "oxidative stress" had the strongest citation burst in the past 5 years. A total of 50 genes were identified as ginsenoside-related genes in tumors. They have the function of regulating gene expression and apoptosis, and they are closely related to signaling pathways in cancers. Ginsenoside-related genes form a complex interactional network, in which TP53 and IL-6 are centrally located. Conclusions: We explored and revealed research hotspots related to the ginsenosides and tumors. More precise anti-tumor mechanism research will be promising in the future. TP53 and IL-6 may be the key points to comprehending the anti-tumor mechanism of ginsenosides.

Causal relationship between gut microbiota and gastrointestinal diseases: a mendelian randomization study.

BACKGROUND: Recent research increasingly highlights a strong correlation between gut microbiota and the risk of gastrointestinal diseases. However, whether this relationship is causal or merely coincidental remains uncertain. To address this, a Mendelian randomization (MR) analysis was undertaken to explore the connections between gut microbiota and prevalent gastrointestinal diseases. METHODS: Genome-wide association study (GWAS) summary statistics for gut microbiota, encompassing a diverse range of 211 taxa (131 genera, 35 families, 20 orders, 16 classes, and 9 phyla), were sourced from the comprehensive MiBioGen study. Genetic associations with 22 gastrointestinal diseases were gathered from the UK Biobank, FinnGen study, and various extensive GWAS studies. MR analysis was meticulously conducted to assess the causal relationship between genetically predicted gut microbiota and these gastrointestinal diseases. To validate the reliability of our findings, sensitivity analyses and tests for heterogeneity were systematically performed. RESULTS: The MR analysis yielded significant evidence for 251 causal relationships between genetically predicted gut microbiota and the risk of gastrointestinal diseases. This included 98 associations with upper gastrointestinal diseases, 81 with lower gastrointestinal diseases, 54 with hepatobiliary diseases, and 18 with pancreatic diseases. Notably, these associations were particularly evident in taxa belonging to the genera Ruminococcus and Eubacterium. Further sensitivity analyses reinforced the robustness of these results. CONCLUSIONS: The findings of this study indicate a potential genetic predisposition linking gut microbiota to gastrointestinal diseases. These insights pave the way for designing future clinical trials focusing on microbiome-related interventions, including the use of microbiome-dependent metabolites, to potentially treat or manage gastrointestinal diseases and their associated risk factors.

Global Trends and Prospects Regarding Exosomes in Cancer Immunology Research Over the Past 10 Years.

Background: Exosomes and cancer immunology are both important areas of research for cancer treatment. As much effort has been made to explore the relationship between exosomes and cancer immunology, exosomes in cancer immunology have become a hotspot in medical research. Methods: We retrieved all relevant publications between 2011 and 2021 from the Web of Science and utilized Microsoft Excel 365, Citespace, Online Analysis Platform of Literature Metrology (http://bibliometric.com/) and software including VOS viewer to analyze and visualize the research result. Results: Of the 820 studies included, China published the most articles, followed by the USA. Cooperation between countries has progressed over the past decade. Shanghai Jiao Tong University and Oncotargets and Therapy were the institution and journal that published the most articles respectively. The most frequently cited article in this field, titled "Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver," was published in Nature Cell Biology. Keywords were divided into three: Mechanism research, treatment application research, and diagnosis and prognosis research of which the latter was the newest cluster. "Microenvironment," "PD-L1" and "M2 macrophage" were representative new keywords while "tumor suppressor" was the keyword cited most frequently. Conclusion: The publication trend shows that cooperation between different countries and institutions contributes to the development of this field. Researchers should continue to extend collaborations for further advances. The rising relative research interest indicated that this is a hot topic with great research potential. Macrophages polarization and PD-L1 application in tumor immunotherapy are worthy of further research. Hotspots will likely transfer from mechanistic research to clinical research, particularly for methods to increase the survival rate and improve the prognosis of cancer patients.

Advances in stem cell therapy for peritoneal fibrosis: from mechanisms to therapeutics.

Peritoneal fibrosis (PF) is a pathophysiological condition caused by a variety of pathogenic factors. The most important features of PF are mesothelial-mesenchymal transition and accumulation of activated (myo-)fibroblasts, which hinder effective treatment; thus, it is critical to identify other practical approaches. Recently, stem cell (SC) therapy has been indicated to be a potential strategy for this disease. Increasing evidence suggests that many kinds of SCs alleviate PF mainly by differentiating into mesothelial cells; secreting cytokines and extracellular vesicles; or modulating immune cells, particularly macrophages. However, there are relatively few articles summarizing research in this direction. In this review, we summarize the risk factors for PF and discuss the therapeutic roles of SCs from different sources. In addition, we outline effective approaches and potential mechanisms of SC therapy for PF. We hope that our review of articles in this area will provide further inspiration for research on the use of SCs in PF treatment.

Intravesical Therapy for Upper Urinary Tract Urothelial Carcinoma: A Comprehensive Review.

Upper tract urothelial carcinoma (UTUC) poses unique challenges in diagnosis and treatment. This comprehensive review focuses on prophylactic intravesical therapy for UTUC, summarizing key aspects of intravesical therapy in various clinical scenarios, including concurrent with or following radical nephroureterectomy, kidney-sparing surgery, ureteroscopy-guided biopsy. The incidence of intravesical recurrence in UTUC after surgical treatment is significant, necessitating effective preventive measures. Intravesical therapy plays a vital role in reducing the risk of bladder recurrence following UTUC surgery. Tailoring timing, drug selection, dosage, and frequency is vital in optimizing treatment outcomes and reducing intravesical recurrence risk in UTUC. This review provides a comprehensive summary of the history, clinical trials, guideline recommendations, and clinical applications of intravesical therapy for UTUC. It also discusses the future directions based on current clinical needs and ongoing trials. Future directions entail optimizing dosage, treatment duration, and drug selection, as well as exploring novel agents and combination therapies. Intravesical therapy holds tremendous potential in improving outcomes for UTUC patients and reducing the risk of bladder recurrence. Although advancements have been made in UTUC treatment research, further refinements are necessary to enhance efficacy and safety.

Metabolomics provides insights into acceleration of bone healing in fractured patients with traumatic brain injuries.

While clinical surveys have frequently reported that patients with traumatic brain injuries (TBIs) and comorbidities experience faster healing, the underlying mechanisms have been investigated but remain unclear. As a comprehensive comparison and analysis of the metabolic characteristics of these two pathologies have not been undertaken, we developed a rat model of fracture and TBI and collected serum samples for metabolomic analysis using ultra-high performance liquid chromatography-quadrupole time-of-flight MS (UHPLC-Q-TOF/MS). In total, we identified 40 differential metabolites and uncovered related pathways and potential mechanisms, including aminoacyl-transfer RNA biosynthesis; differential amino acids such as leucine, cholylhistidine, aspartyl-lysine; and related lipid metabolism, and discussed their impacts on bone formation in detail. This study highlights that the UHPLC-Q-TOF/MS-based metabolomics approach offers a better understanding of the metabolic links between TBI and accelerated bone recovery.

TLR4 predicts patient prognosis and immunotherapy efficacy in clear cell renal cell carcinoma.

Background: Clear cell renal cell carcinoma (ccRCC) constitutes the commonest kidney malignancy. Immunogenic cell death (ICD) is a type of regulated cell death (RCD), which sufficiently activates adaptive immunity. However, ICD's involvement in cancer development is unclear, as well as the associations of ICD effectors with ccRCC prognosis. Methods: RNA-sequencing expression profiles of ccRCC in The Cancer Genome Atlas (TCGA) and normal samples in Gene Expression Omnibus (GEO) were comprehensively investigated. Consensus clustering analysis was employed to determine subgroup members linked to ICD-related genes. Functional enrichment analysis was utilized for the examination of TLR4's biological role, and in vitro cellular assays were utilized for further confirmation. We also used Kaplan-Meier (KM) and Cox regression analyses to assess TLR4's prognostic value. Finally, "CIBERSORT" was employed for immune score evaluation. Results: The associations of ICD effectors with ccRCC prognosis were examined based on TCGA, and 12 genes showed upregulation in ccRCC tissue specimens. Meanwhile, ccRCC cases with upregulated ICD-related genes had increased overall survival. Among these ICD-related genes, TLR4 was selected for subsequent analysis. TLR4 was upregulated in ccRCC samples and independently predicted ccRCC. TLR4 also enhanced the proliferative, migratory and invasive abilities in cultured ccRCC cells. Moreover, TLR4 had close relationships with immune checkpoints and infiltrated immune cells. ccRCC cases with elevated TLR4 expression had prolonged overall survival, suggesting a prognostic value for TLR4. Finally, a pan-cancer analysis demonstrated TLR4 had differential expression in various malignancies in comparison with normal tissue samples. Conclusions: This study revealed prognostic values for ICD-associated genes, particularly TLR4, and experimentally validated the inducing effects of TLR4 on ccRCC progression in vitro. We also demonstrated the associations of TLR4 with immune cell infiltration, providing a novel strategy for prognostic evaluation and a novel therapeutic target in ccRCC.

Mendelian randomization analysis does not reveal a causal influence of mental diseases on osteoporosis.

Introduction: Osteoporosis (OP) is primarily diagnosed through bone mineral density (BMD) measurements, and it often leads to fracture. Observational studies suggest that several mental diseases (MDs) may be linked to OP, but the causal direction of these associations remain unclear. This study aims to explore the potential causal association between five MDs (Schizophrenia, Depression, Alzheimer's disease, Parkinson's disease, and Epilepsy) and the risk of OP. Methods: First, single-nucleotide polymorphisms (SNPs) were filtered from summary-level genome-wide association studies using quality control measures. Subsequently, we employed two-sample Mendelian randomization (MR) analysis to indirectly analyze the causal effect of MDs on the risk of OP through bone mineral density (in total body, femoral neck, lumbar spine, forearm, and heel) and fractures (in leg, arm, heel, spine, and osteoporotic fractures). Lastly, the causal effect of the MDs on the risk of OP was evaluated directly through OP. MR analysis was performed using several methods, including inverse variance weighting (IVW)-random effects, IVW-fixed effects, maximum likelihood, weighted median, MR-Egger regression, and penalized weighted median. Results: The results did not show any evidence of a causal relationship between MDs and the risk of OP (with almost all P values > 0.05). The robustness of the above results was proved to be good. Discussion: In conclusion, this study did not find evidence supporting the claim that MDs have a definitive impact on the risk of OP, which contradicts many existing observational reports. Further studies are needed to determine the potential mechanisms of the associations observed in observational studies.

Causal effects of hypertension on risk of erectile dysfunction: A two-sample Mendelian randomization study.

Background: Erection dysfunction has been associated with hypertension in several epidemiological and observational studies. But the causal association between hypertension and erectile dysfunction requires further investigation. Methods: A two-sample Mendelian randomization (MR) was conducted to analyze the causal effect of hypertension on risk of erection dysfunction. Large-scale publicly available genome-wide association study data were used to estimate the putative causality between hypertension and risk of erectile dysfunction. A total of 67 independent single nucleotide polymorphisms were selected as instrumental variables. Inverse-variant weighted, maximum likelihood, weighted median, penalized weighted median, and MR-PRESSO approaches were utilized in MR analyses. Heterogeneity test, horizontal pleiotropy test, and leave-one-out method were used to prove the stability of the results. Results: In total, all P values were less than 0.05, demonstrating a positive causal link between hypertension and risk of erectile dysfunction in multiple MR methods, such as inverse-variant weighted (random and fixed effect) (OR 3.8315, 95% CI 2.3004-6.3817, P = 0.0085), maximum likelihood (OR 3.8877, 95% CI 2.3224-6.5081, P = 0.0085), weighted median (OR 4.9720, 95% CI 2.3645-10.4550, P = 0.0309), penalized weighted median (OR 4.9760, 95% CI 2.3201-10.6721, P = 0.0355), and MR-PRESSO (OR 3.6185, 95% CI 2.2387-5.8488, P = 0.0092). Sensitivity analysis detected no evidence of heterogeneity, pleiotropy, or outlier single nucleotide polymorphisms. Conclusion: The study revealed a positive causal link between the presence of hypertension and the risk of erectile dysfunction. More attention should be paid during the management of hypertension with the purpose of preventing erectile dysfunction or improving erectile function.

Emerging trends and research foci of deep learning in spine: bibliometric and visualization study.

As the cognition of spine develops, deep learning (DL) emerges as a powerful tool with tremendous potential for advancing research in this field. To provide a comprehensive overview of DL-spine research, our study utilized bibliometric and visual methods to retrieve relevant articles from the Web of Science database. VOSviewer and CiteSpace were primarily used for literature measurement and knowledge graph analysis. A total of 273 studies focusing on deep learning in the spine, with a combined total of 2302 citations, were retrieved. Additionally, the overall number of articles published on this topic demonstrated a continuous upward trend. China was the country with the highest number of publications, whereas the USA had the most citations. The two most prominent journals were "European Spine Journal" and "Medical Image Analysis," and the most involved research area was Radiology Nuclear Medicine Medical Imaging. VOSviewer identified three visually distinct clusters: "segmentation," "area," and "neural network." Meanwhile, CiteSpace highlighted "magnetic resonance image" and "lumbar" as the keywords with the longest usage, and "agreement" and "automated detection" as the most commonly used keywords. Although the application of DL in spine is still in its infancy, its future is promising. Intercontinental cooperation, extensive application, and more interpretable algorithms will invigorate DL in the field of spine.

Osteoarthritis and risk of cardiovascular diseases: A Mendelian randomization study.

BACKGROUND: Observational studies have suggested that osteoarthritis may increase the risk of cardiovascular diseases. However, there is still no high-quality evidence to explain this causal relationship. We conducted a two-sample Mendelian randomization (MR) study to assess the associations of hip arthritis and knee arthritis with 14 types of cardiovascular diseases in the general population. METHOD: Genome-wide association studies for hip arthritis and knee arthritis were obtained from the UK Biobank. Genome-wide association studies of the 14 types of cardiovascular diseases we studied were extracted from the genetic consortia and the FinnGen consortium. Inverse variance weighted (IVW), maximum likelihood, weighted medium, penalized weighted median, and IVW (fixed effects) of MR were applied to a two-sample MR analysis. The mean pleiotropy of genetic variation and sensitivity analysis were used to evaluate the reliability of the results, and the MR-Egger test and leave-one-out method are the core evaluation methods. RESULT: Genetically predicted knee arthritis was causally associated with vein thromboembolism (IVW Odds Ratio (OR): 1.005, 95% Confidence Interval (CI): 0.842-1.199, P = 0.020) and pulmonary embolism (IVW OR: 1.003, 95% CI: 0.841-1.197, P = 0.025). Furthermore, hip arthritis also has a significant impact on cardiovascular diseases and is positively correlated with ischemic stroke (IVW OR: 1.086, 95% CI: 0.910-1.295, P = 0.024), atrial fibrillation (IVW OR: 1.093, 95% CI: 0.917-1.304, P = 0.019), and coronary artery disease (IVW OR: 1.061, 95% CI: 0.890-1.266, P = 0. 0.002). CONCLUSION: Our study suggested that osteoarthritis may increase the risk of vein thromboembolism, pulmonary embolism, ischemic stroke, atrial fibrillation, and coronary artery disease. However, the findings provided no evidence to support that osteoarthritis has a large effect on the risk of cardiovascular diseases that we studied. Further research is needed to clarify the results.

A comprehensive and visualized analysis of relationship between ferroptosis and tumor using bibliometrics and bioinformatics.

This study aimed to summarize the current developments and hub genes in the ferroptosis field using bibliometrics and bioinformatics and provide guidance for future developments. The publications on ferroptosis from 2012 to 2021 were extracted from the Web of Science database. VOSviewer software and CiteSpace software were used to visualize and predict the trend of ferroptosis research. The key genes related to ferroptosis were selected from the Web of Genecards, and Kyoto Encyclopedia of Genes and Genomes (KEGG)/Gene Ontology (GO) analysis was performed. Cytoscape software and online survival curve analysis platform were also used to screen hub genes and analyze their roles. Chinese researchers published the highest number of publications in this field, while American publications exhibited higher quality. In terms of institutions, Central South University and Zhejiang University have the highest number of publications. Cell Death Disease published more studies than other journals. The application of ferroptosis is a major research area, and, importantly, "RCD", "FTH1", and "nomogram" are the keywords. We also found tumor-related pathways of interest in the field of ferroptosis. Sirtuin 3 (SIRT3), Glutathione Peroxidase 4 (GPX4), and transferrin receptor (TFRC) genes were of significance for the prognosis of tumors. The number of publications on ferroptosis may increase in the future. Cooperation among countries and disciplines is particularly important in this regard. Also, the applications of ferroptosis, especially in chemotherapy and immunotherapy for tumors, will be the focus of future research. Keywords "RCD", "FTH1", and "nomogram" is receiving high attention, and in-depth studies on tumor-related genes SIRT3, GPX4, and TFRC may provide new therapeutic targets.

The relationship between processed meat, red meat, and risk of types of cancer: A Mendelian randomization study.

Background: Observational studies have suggested processed and red meat may increase the risk of cancer. However, the causal effects and direction between them were still unclear. We conducted two-sample Mendelian randomization (MR) analysis to evaluate the causal effect of processed meat and red meat on the risk of nine common types of cancer, namely, lung, ovarian, endometrial, breast, kidney, gastric, prostate, skin, and oropharyngeal cancer. Methods: Genome-wide association studies (GWAS) for processed meat and red meat (pork, beef, and mutton) were obtained from the UK Biobank. GWAS of types of cancer in this study were extracted from the genetic consortia and the FinnGen consortium. The inverse variance weighted (IVW) was carried out as the main method for two-sample MR analysis. Sensitivity analyses were used to assess the robustness of the results. Results: Genetically predicted processed meat intake was causally associated with increased risk of lung cancer (OR [odds ratio] = 1.923, 95% CI = 1.084-3.409, P = 0.025). There is no convincing evidence for the associations between genetically determined processed meat, red meat, and the risk of other cancers we studied. Conclusion: Our results suggested that intake of processed meat may increase the risk of lung cancer. These findings provided no evidence to support that consumption of processed and red meat has a large effect on the risk of other cancers we studied. Further research is needed to clarify the results.

Role of hypoxia in the tumor microenvironment and targeted therapy.

Tumor microenvironment (TME), which is characterized by hypoxia, widely exists in solid tumors. As a current research hotspot in the TME, hypoxia is expected to become a key element to break through the bottleneck of tumor treatment. More and more research results show that a variety of biological behaviors of tumor cells are affected by many factors in TME which are closely related to hypoxia. In order to inhibiting the immune response in TME, hypoxia plays an important role in tumor cell metabolism and anti-apoptosis. Therefore, exploring the molecular mechanism of hypoxia mediated malignant tumor behavior and therapeutic targets is expected to provide new ideas for anti-tumor therapy. In this review, we discussed the effects of hypoxia on tumor behavior and its interaction with TME from the perspectives of immune cells, cell metabolism, oxidative stress and hypoxia inducible factor (HIF), and listed the therapeutic targets or signal pathways found so far. Finally, we summarize the current therapies targeting hypoxia, such as glycolysis inhibitors, anti-angiogenesis drugs, HIF inhibitors, hypoxia-activated prodrugs, and hyperbaric medicine.

Research progress and hotspot of the artificial intelligence application in the ultrasound during 2011-2021: A bibliometric analysis.

Ultrasound, as a common clinical examination tool, inevitably has human errors due to the limitations of manual operation. Artificial intelligence is an advanced computer program that can solve this problem. Therefore, the relevant literature on the application of artificial intelligence in the ultrasonic field from 2011 to 2021 was screened by authors from the Web of Science Core Collection, which aims to summarize the trend of artificial intelligence application in the field of ultrasound, meanwhile, visualize and predict research hotspots. A total of 908 publications were included in the study. Overall, the number of global publications is on the rise, and studies on the application of artificial intelligence in the field of ultrasound continue to increase. China has made the largest contribution in this field. In terms of institutions, Fudan University has the most number of publications. Recently, IEEE Access is the most published journal. Suri J. S. published most of the articles and had the highest number of citations in this field (29 articles). It's worth noting that, convolutional neural networks (CNN), as a kind of deep learning algorithm, was considered to bring better image analysis and processing ability in recent most-cited articles. According to the analysis of keywords, the latest keyword is "COVID-19" (2020.8). The co-occurrence analysis of keywords by VOSviewer visually presented four clusters which consisted of "deep learning," "machine learning," "application in the field of visceral organs," and "application in the field of cardiovascular". The latest hot words of these clusters were "COVID-19; neural-network; hepatocellular carcinoma; atherosclerotic plaques". This study reveals the importance of multi-institutional and multi-field collaboration in promoting research progress.

Inflammatory bowel disease and cardiovascular disease: A two-sample Mendelian randomization analysis.

Background: Although epidemiological studies have shown a positive relationship between inflammatory bowel disease (IBD) and risk of cardiovascular disease (CVD) outcomes, a solid causal relationship has not been established. Thus, a two-sample Mendelian randomization (MR) study was conducted to explore the potential causal effect between IBD and CVD outcomes. Methods: We performed a two-sample MR analysis to analyze the causal effect of the IBD on CVD outcome by using summary-level genome-wide association studies of European descent. The inverse-variance weighted (IVW) method was used as the main MR analysis, with complementary analyses of MR Egger, maximum likelihood, weighted median, penalized weighted media, simple mode, weighted mode, and MR-PRESSO methods. Multiple sensitivity analyses were used to evaluate the robustness of our results. Results: All P-values were greater than 0.05 in the IVW method, showing no evidence of a causal association between circulating IBD and CVD. Similar results were observed by using other MR methods. No evidence of heterogeneity, pleiotropy, or outlier single-nucleotide polymorphisms was detected. Sensitivity analyses demonstrated the robustness of the results. Conclusion: The findings of this study provided no evidence to support that IBD has a large effect on risk of CVD outcomes, which is in contrast to many previous observational reports. Further studies are needed to determine the potential mechanism of association identified in observational studies.

Mapping trends and hotspot regarding gut microbiota and host immune response: A bibliometric analysis of global research (2011-2021).

Background: Gut microbiota is a complex ecosystem that is vital for the development and function of the immune system, is closely associated with host immunity, and affects human health and disease. Therefore, the current progress and trends in this field must be explored. Purpose: No bibliometric analysis has been conducted on gut microbiota and host immune response. This study aimed to analyze the current progress and developing trends in this field through bibliometric and visual analysis. Methods: Global publications on gut microbiota and host immune response from January 2011 to December 2021 were extracted from the Web of Science (WOS) collection database. GraphPad Prism, VOSviewer software, and CiteSpace were employed to perform a bibliometric and visual study. Results: The number of publications has rapidly increased in the last decade but has declined in the most recent year. The Cooperation network shows that the United States, Harvard Medical School, and Frontiers in Immunology were the most active country, institute, and journal in this field, respectively. Co-occurrence analysis divided all keywords into four clusters: people, animals, cells, and diseases. The latest keyword within all clusters was "COVID," and the most frequently occurring keyword was "SCFA." Conclusion: Gut microbiota and host immune response remain a research hotspot, and their relation to cancer, CNS disorders, and autoimmune disease has been explored. However, additional studies on gut microbiota must be performed, particularly its association with bacterial strain screening and personalized therapy.

Pyroptosis in sepsis: Comprehensive analysis of research hotspots and core genes in 2022.

Sepsis, a life-threatening disease caused by dysregulated host response to infection, is a major public health problem with a high mortality and morbidity rate. Pyroptosis is a new type of programmed cell death discovered in recent years, which has been proved to play an important role in sepsis. Nevertheless, there is no comprehensive report, which can help researchers get a quick overview and find research hotspots. Thus, we aimed to identify the study status and knowledge structures of pyroptosis in sepsis and summarize the key mechanism of pyroptosis in sepsis. The data were retrieved and downloaded from the WOS database. Software such as VOSviewer was used to analyze these publications. Key genes were picked out by using (https://www.genecards.org) and (http://www.bioinformatics.com). Then, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were used to performed these key genes. From 2011 to 2021, a total of 299 papers met the search criteria, and the global interest in pyroptosis in sepsis measured by the value of (RRI) has started to increase since 2016. China ranked first in the number of publications, followed by the USA. The journal Frontiers in Immunology published the most relevant articles. Through keyword co-occurrence analysis, the high-frequency subject terms were divided into three clusters like "animal research", "cell research," and "molecular research" clusters. "mir," "aki," "monocyte," and "neutrophil" were the newest keywords that may be the hotspot. In addition, a total of 15 genes were identified as hub genes. TNF, IL-1ß, AKT1, CASP1, and STAT3 were highly expressed in lung tissues, thymus tissues, and lymphocytes. KEGG analysis indicated that pyroptosis may play a vital role in sepsis via the NOD, PI3K/AKT, and MAPK/JNK pathways. Through the quantitative analysis of the literature on pyroptosis in sepsis, we revealed the current status and hotspots of research in this field and provided some guidance for further studies.