Integrating network pharmacology and experimental validation reveals therapeutic effects of D-mannose on NAFLD through mTOR suppression.

Non-alcoholic fatty liver disease (NAFLD), a chronic liver condition and metabolic disorder, has emerged as a significant health issue worldwide. D-mannose, a natural monosaccharide widely existing in plants and animals, has demonstrated metabolic regulatory properties. However, the effect and mechanism by which D-mannose may counteract NAFLD have not been studied. In this study, network pharmacology followed by molecular docking analysis was utilized to identify potential targets of mannose against NAFLD, and the leptin receptor-deficient, genetically obese db/db mice was employed as an animal model of NAFLD to validate the regulation of D-mannose on core targets. As a result, 67 targets of mannose are predicted associated with NAFLD, which are surprisingly centered on the mechanistic target of rapamycin (mTOR). Further analyses suggest that mTOR signaling is functionally enriched in potential targets of mannose treating NAFLD, and that mannose putatively binds to mTOR as a core mechanism. Expectedly, repeated oral gavage of supraphysiological D-mannose ameliorates liver steatosis of db/db mice, which is based on suppression of hepatic mTOR signaling. Moreover, daily D-mannose administration reduced hepatic expression of lipogenic regulatory genes in counteracting NAFLD. Together, these findings reveal D-mannose as an effective and potential NAFLD therapeutic through mTOR suppression, which holds translational promise.

Establishment of Cephalic Index by Computed Tomography in Sampled Chinese Children.

OBJECTIVE: Cephalic Index (CI), the ratio of head width to length, is one of the indexes reflecting cranial morphological characteristics. Current norms were established by European and American countries. The purpose of the study was to study anthropometry of cranial parameters using computed tomography scans to establish the CI of the sampled Chinese Children. METHODS: The cross-sectional study was carried out on patients of age younger than 14 years old at Shanghai Children's Medical Center. The measurement of maximum cranial breadth and maximum cranial length were taken on a computed tomography scan machine and recorded for analysis. Cephalic Index was calculated for each age and sex group and compared with previously established norms. RESULTS: Five hundred eighteen patients met the inclusion criteria, including 301 males and 217 females. The means for boys and girls were 87.1 (SD: 4.3) and 85.8 (SD: 4.3), respectively. There was a significant difference between boys and girls (P < 0.01). Cephalic Index in different ages and on applying the 1-way analysis of variance association was statistically insignificant (P = 0.19). CONCLUSIONS: Chinese head shape was brachycephalic. A statistically significant correlation was seen between the CI and sex, while not age.

Multifaceted roles and functions of SOX30 in human cancer.

SRY-box transcription factor 30 (SOX30) participates in tumor cell apoptosis in lung cancer. The occurrence of somatic SOX30 mutations, the expression signature of SOX30 in normal and cancer tissues, the correlation of SOX30 with immune cells and immune-related genes, and the clinical significance of SOX30 in various cancers have stimulated interest in SOX30 as a potential cancer biomarker. SOX30 influences drug sensitivity and tumor immunity in specific cancer types. In this review, we have comprehensively summarized the latest research on the role of SOX30 in cancer by combining bioinformatics evidence and a literature review. We summarize recent research on SOX30 in cancer regarding somatic mutations, trials, transcriptome analysis, clinical information, and SOX30-mediated regulation of malignant phenotypes. Additionally, we report on the diagnostic value of SOX30 mRNA expression levels across different cancer types. This review on the role of SOX30 in cancer progression may provide insights into possible research directions for SOX30 in cancer and a theoretical basis for guiding future studies.

Chemical compositions and nutritional profiles of two edible tunicate species (Halocynthia roretzi and Halocynthia aurantium).

As an abundant marine bioresource, tunicates could be exploited in the food industry. However, limited knowledge of their chemical composition and nutritional profiles prohibited further application. In this study, two common edible tunicate species, Halocynthia roretzi (HR) and Halocynthia aurantium (HA), were subjected to comprehensive composition analysis in terms of moisture, protein, lipids, cellulose, ash, amino acids, fatty acids, non-cellulose carbohydrates and minerals. Reddish HR was much bigger than purple HA with respect to body length and weight, and their moisture fell within 82.98 %-90.92 %. The non-edible outer shell part (OS) and edible internal organs part (IO) had a dry weight ratio of around 3:2 for both two species. Generally, for both HR and HA, IO was more abundant in protein and lipids. In contrast, OS had much higher cellulose contents, confirming the better suitability of IO as a nutritional seafood. IO was richer in essential amino acids and unsaturated fatty acids, while OS had more abundant saturated fatty acids. The detected non-cellulose monosugars ranged from 0.47 % to 1.18 % and indicated the presence of some sulfated glycans. IO of HR had higher contents of essential minerals, such as Cu, Zn, and Fe, while IO of HA showed a higher K content. To sum up, this study identified the chemical composition and nutritional profile variations among different tunicate species and various dissected parts, guiding the development of specific strategies to exploit tunicates for proper food applications.

Insight into the regulatory mechanism of ß-arrestin2 and its emerging role in diseases.

ß-arrestin2, a member of the arrestin family, mediates the desensitization and internalization of most G protein-coupled receptors (GPCRs) and functions as a scaffold protein in signalling pathways. Previous studies have demonstrated that ß-arrestin2 expression is dysregulated in malignant tumours, fibrotic diseases, cardiovascular diseases and metabolic diseases, suggesting its pathological roles. Transcription and post-transcriptional modifications can affect the expression of ß-arrestin2. Furthermore, post-translational modifications, such as phosphorylation, ubiquitination, SUMOylation and S-nitrosylation affect the cellular localization of ß-arrestin2 and its interaction with downstream signalling molecules, which further regulate the activity of ß-arrestin2. This review summarizes the structure and function of ß-arrestin2 and reveals the mechanisms involved in the regulation of ß-arrestin2 at multiple levels. Additionally, recent studies on the role of ß-arrestin2 in some major diseases and its therapeutic prospects have been discussed to provide a reference for the development of drugs targeting ß-arrestin2.

Construction of a ferroptosis-based prognostic model for breast cancer helps to discriminate high/low risk groups and treatment priority.

Introduction: Breast cancer is a common malignant tumor associated with high morbidity and mortality. The role of ferroptosis, a regulated form of cell death, in breast cancer development and prognosis remains unclear. This study aims to investigate the relationship between ferroptosis-related genes and breast cancer and develop a prognostic model. Methods: RNA-seq expression datasets and clinical samples of breast cancer patients were obtained from public databases. Immunity- and drug resistance-related data were integrated. A preliminary screening was performed, resulting in the identification of 73 candidate ferroptosis factors. Univariate Cox regression analysis was conducted to select 12 genes, followed by LASSO Cox regression analysis to construct a prognostic risk prediction model consisting of 10 ferroptosis-related genes. The model was further characterized by immune cell infiltration. The expression levels of ferroptosis-related genes were validated in human breast cancer cell lines, and immunohistochemical (IHC) analysis was conducted on cancer specimens to assess ferroptosis-related protein expression. Results: The study identified 10 ferroptosis-related genes that were significantly associated with breast cancer prognosis. The constructed prognostic risk prediction model showed potential for predicting the prognostic value of these genes. In addition, the infiltration of immune cells was observed to be a characteristic of the model. The expression levels of ferroptosis-related genes were confirmed in human breast cancer cell lines, and IHC analysis provided evidence of ferroptosis-related protein expression in cancer specimens. Discussion: This study provides a novel prognostic model for breast cancer, incorporating 10 ferroptosis-related genes. The model demonstrates the potential for predicting breast cancer prognosis and highlights the involvement of immune cell infiltration. The expression levels of ferroptosis-related genes and proteins further support the association between ferroptosis and breast cancer development.

Sangerbox: A comprehensive, interaction-friendly clinical bioinformatics analysis platform.

In recent decades, with the continuous development of high-throughput sequencing technology, data volume in medical research has increased, at the same time, almost all clinical researchers have their own independent omics data, which provided a better condition for data mining and a deeper understanding of gene functions. However, for these large amounts of data, many common and cutting-edge effective bioinformatics research methods still cannot be widely used. This has encouraged the establishment of many analytical platforms, a portion of databases or platforms were designed to solve the special analysis needs of users, for instance, MG RAST, IMG/M, Qiita, BIGSdb, and TRAPR were developed for specific omics research, and some databases or servers provide solutions for special problems solutions. Metascape was designed to only provide functional annotations of genes as well as function enrichment analysis; BioNumerics and RidomSeqSphere+ perform multilocus sequence typing; CARD provides only antimicrobial resistance annotations. Additionally, some web services are outdated, and inefficient interaction often fails to meet the needs of researchers, such as our previous versions of the platform. Therefore, the demand to complete massive data processing tasks urgently requires a comprehensive bioinformatics analysis platform. Hence, we have developed a website platform, Sangerbox 3.0 (http://vip.sangerbox.com/), a web-based tool platform. On a user-friendly interface that also supports differential analysis, the platform provides interactive customizable analysis tools, including various kinds of correlation analyses, pathway enrichment analysis, weighted correlation network analysis, and other common tools and functions, users only need to upload their own corresponding data into Sangerbox 3.0, select required parameters, submit, and wait for the results after the task has been completed. We have also established a new interactive plotting system that allows users to adjust the parameters in the image; moreover, optimized plotting performance enables users to adjust large-capacity vector maps on the web site. At the same time, we have integrated GEO, TCGA, ICGC, and other databases and processed data in batches, greatly reducing the difficulty to obtain data and improving the efficiency of bioimformatics study for users. Finally, we also provide users with rich sources of bioinformatics analysis courses, offering a platform for researchers to share and exchange knowledge.