Identification and characterization of candidate genes for primary root length in Asiatic cotton (Gossypium arboreum L.).

KEY MESSAGE: One major gene controlling primary root length (PRL) in Gossypium arboreum is identified and this research provides a theoretical basis for root development for cotton. Primary root elongation is an essential process in plant root system structure. Here, we investigated the primary root length (PRL) of 215 diploid cotton (G. arboreum) accessions at 5, 8, 10, 15 days after sowing. A Genome-wide association study was performed for the PRL, resulting in 49 significant SNPs associated with 32 putative candidate genes. The SNP with the strongest signal (Chr07_8047530) could clearly distinguish the PRLs between accessions with two haplotypes. GamurG is the only gene that showed higher relative expression in the long PRL genotypes than the short PRL genotypes, which indicated it was the most likely candidate gene for regulating PRL. Moreover, the GamurG-silenced cotton seedlings showed a shorter PRL, while the GamurG-overexpressed Arabidopsis exhibited a significantly longer PRL. Our findings provide insight into the regulation mechanism of cotton root growth and will facilitate future breeding programs to optimize the root system structure in cotton.

Alisol B 23-acetate promotes white adipose tissue browning to mitigate high-fat diet-induced obesity by regulating mTOR-SREBP1 signaling.

OBJECTIVE: Obesity is a global health concern with management strategies encompassing bariatric surgery and anti-obesity drugs; however, concerns regarding complexities and side effects persist, driving research for more effective, low-risk strategies. The promotion of white adipose tissue (WAT) browning has emerged as a promising approach. Moreover, alisol B 23-acetate (AB23A) has demonstrated efficacy in addressing metabolic disorders, suggesting its potential as a therapeutic agent in obesity management. Therefore, in this study, we aimed to investigate the therapeutic potential of AB23A for mitigating obesity by regulating metabolic phenotypes and lipid distribution in mice fed a high-fat diet (HFD). METHODS: An obesity mouse model was established by administration of an HFD. Glucose and insulin metabolism were assessed via glucose and insulin tolerance tests. Adipocyte size was determined using hematoxylin and eosin staining. The expression of browning markers in WAT was evaluated using Western blotting and quantitative real-time polymerase chain reaction. Metabolic cage monitoring involved the assessment of various parameters, including food and water intake, energy metabolism, respiratory exchange rates, and physical activity. Moreover, oil red O staining was used to evaluate intracellular lipid accumulation. A bioinformatic analysis tool for identifying the molecular mechanisms of traditional Chinese medicine was used to examine AB23A targets and associated signaling pathways. RESULTS: AB23A administration significantly reduced the weight of obese mice, decreased the mass of inguinal WAT, epididymal WAT, and perirenal adipose tissue, improved glucose and insulin metabolism, and reduced adipocyte size. Moreover, treatment with AB23A promoted the expression of browning markers in WAT, enhanced overall energy metabolism in mice, and had no discernible effect on food intake, water consumption, or physical activity. In 3T3-L1 cells, AB23A inhibited lipid accumulation, and both AB23A and rapamycin inhibited the mammalian target of rapamycin-sterol regulatory element-binding protein-1 (mTOR-SREBP1) signaling pathway. Furthermore, 3-isobutyl-1-methylxanthine, dexamethasone and insulin, at concentrations of 0.25 mmol/L, 0.25 µmol/L and 1 µg/mL, respectively, induced activation of the mTOR-SREBP1 signaling pathway, which was further strengthened by an mTOR activator MHY1485. Notably, MHY1485 reversed the beneficial effects of AB23A in 3T3-L1 cells. CONCLUSION: AB23A promoted WAT browning by inhibiting the mTOR-SREBP1 signaling pathway, offering a potential strategy to prevent obesity. Please cite this article as: Han LL, Zhang X, Zhang H, Li T, Zhao YC, Tian MH, Sun FL, Feng B. Alisol B 23-acetate promotes white adipose tissue browning to mitigate high-fat diet-induced obesity by regulating mTOR-SREBP1 signaling. J Integr Med. 2024; 22(1): 83-92.

Genome-Wide Identification and Preliminary Functional Analysis of BAM (ß-Amylase) Gene Family in Upland Cotton.

The ß-amylase (BAM) gene family encodes important enzymes that catalyze the conversion of starch to maltose in various biological processes of plants and play essential roles in regulating the growth and development of multiple plants. So far, BAMs have been extensively studied in Arabidopsis thaliana (A. thaliana). However, the characteristics of the BAM gene family in the crucial economic crop, cotton, have not been reported. In this study, 27 GhBAM genes in the genome of Gossypium hirsutum L (G. hirsutum) were identified by genome-wide identification, and they were divided into three groups according to sequence similarity and phylogenetic relationship. The gene structure, chromosome distribution, and collinearity of all GhBAM genes identified in the genome of G. hirsutum were analyzed. Further sequence alignment of the core domain of glucosyl hydrolase showed that all GhBAM family genes had the glycosyl hydrolase family 14 domain. We identified the BAM gene GhBAM7 and preliminarily investigated its function by transcriptional sequencing analysis, qRT-PCR, and subcellular localization. These results suggested that the GhBAM7 gene may influence fiber strength during fiber development. This systematic analysis provides new insight into the transcriptional characteristics of BAM genes in G. hirsutum. It may lay the foundation for further study of the function of these genes.

Quantitative trait loci and candidate genes for yield-related traits of upland cotton revealed by genome-wide association analysis under drought conditions.

BACKGROUND: Due to the influence of extreme weather, the environment in China's main cotton-producing areas is prone to drought stress conditions, which affect the growth and development of cotton and lead to a decrease in cotton yield. RESULTS: In this study, 188 upland cotton germplasm resources were phenotyped for data of 8 traits (including 3 major yield traits) under drought conditions in three environments for two consecutive years. Correlation analysis revealed significant positive correlations between the three yield traits. Genetic analysis showed that the estimated heritability of the seed cotton index (SC) under drought conditions was the highest (80.81%), followed by that of boll weight (BW) (80.64%) and the lint cotton index (LC) (70.49%) With genome-wide association study (GWAS) analysis, a total of 75 quantitative trait loci (QTLs) were identified, including two highly credible new QTL hotspots. Three candidate genes (Gh_D09G064400, Gh_D10G261000 and Gh_D10G254000) located in the two new QTL hotspots, QTL51 and QTL55, were highly expressed in the early stage of fiber development and showed significant correlations with SC, LC and BW. The expression of three candidate genes in two extreme materials after drought stress was analyzed by qRT-PCR, and the expression of these two materials in fibers at 15, 20 and 25 DPA. The expression of these three candidate genes was significantly upregulated after drought stress and was significantly higher in drought-tolerant materials than in drought-sensitive materials. In addition, the expression levels of the three candidate genes were higher in the early stage of fiber development (15 DPA), and the expression levels in drought-tolerant germplasm were higher than those in drought-sensitive germplasm. These three candidate genes may play an important role in determining cotton yield under drought conditions. CONCLUSIONS: This study is helpful for understanding the regulatory genes affecting cotton yield under drought conditions and provides germplasm and candidate gene resources for breeding high-yield cotton varieties under these conditions.

An overview of systematic reviews of acupuncture for diabetic gastroparesis.

Background: To date, several systematic reviews and/or meta-analyses (SRs/MAs) on the topic of acupuncture as a treatment for diabetic gastroparesis (DGP) have been published. However, whether acupuncture is an effective and safe treatment for DGP remains controversial. In this study, we aimed to determine whether the methodology and results of previously published SRs/MAs of acupuncture as a treatment for DGP were of sufficient quality to be considered reliable. Methods: We extensively searched seven databases, including PubMed, EMBASE, Cochrane Library, Web of Science, China National Knowledge, Wan Fang, and Chongqing VIP, for SRs/MAs published before or on September 16, 2022. The SRs/MAs that met the inclusion criteria were evaluated for the quality of the methodology and results using the Assessing the Methodological Quality of Systematic Reviews Two (AMSTAR-2) and Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tools. A re-meta-analysis of primary outcome indicators was also performed. Results: Ten SRs/MAs that met the inclusion criteria were obtained. Using the AMSTAR-2, which is a methodological quality assessment tool, two MAs were rated as low quality, and eight SRs/MAs were rated as extremely low quality. Assessment with the GRADE tool revealed that, among 20 results, 4 were of moderate quality, 10 were of low quality, and 6 were of very low quality. Re-meta-analysis of primary outcome indicators revealed that, in terms of total efficiency, all types of acupuncture interventions, such as acupuncture, electroacupuncture, and acupoint injection, performed better than the controls, such as gastroprokinetic agents and sham acupuncture. Moreover, in the treatment of DGP, acupuncture exhibited fewer side effects compared to the controls. Conclusion: Acupuncture appears to improve the symptoms of patients with DGP, and the side effects of acupuncture as a treatment for DGP are inferior to those of the controls. However, owing to the low quality of the methodology and results of the SRs/MAs, these findings cannot be considered reliable and need to be validated by additional studies with rigorous standards of experimental design and protocols and larger sample sizes.

Using association mapping and local interval haplotype association analysis to improve the cotton drought stress response.

Drought stress has a serious impact on the growth and development of cotton. To explore the relevant molecular mechanism of the drought stress response in cotton, gene mapping based on the QTL interval mapped by simplified genome BSA-seq of the drought-resistance-related RIL population was performed. A QTL region spanning 2.02 Mb on chromosome D07 was selected, and 201 resource materials were genotyped using 9 KASP markers in the interval. After local interval haplotype association analysis, the overlap of the 110 kb peak region confirmed the reliability of this region, and at the same time, the role of GhGF14-30, the only gene in the overlapping region, was modeled in the response of cotton to drought stress. qRTPCR analysis of the materials and population parents proved that this gene plays a role in the drought stress response in cotton. Virus-induced gene silencing proved the importance of this gene in drought-sensitive materials, and drought-resistance-related marker genes also proved that the GhGF14-30 gene may play an important role in the ABA and SOS signaling pathways. This study provides a basis for mining drought stress response functional genes in cotton and lays the foundation for the molecular mechanism of the GhGF14-30 gene in response to drought stress in cotton.

Genome-wide association analysis revealed genetic variation and candidate genes associated with the yield traits of upland cotton under drought conditions.

Drought is one of the major abiotic stresses seriously affecting cotton yield. At present, the main cotton-producing areas in China are primarily arid and semiarid regions. Therefore, the identification of molecular markers and genes associated with cotton yield traits under drought conditions is of great importance for stabilize cotton yield under such conditions. In this study, resequencing data were used to conduct a genome-wide association study (GWAS) on 8 traits of 150 cotton germplasms. Under drought stress, 18 SNPs were significantly correlated with yield traits (single-boll weight (SBW) and seed (SC)), and 8 SNPs were identified as significantly correlated with effective fruit shoot number (EFBN) traits (a trait that is positively correlated with yield). Finally, a total of 15 candidate genes were screened. The combined results of the GWAS and transcriptome data analysis showed that four genes were highly expressed after drought stress, and these genes had significantly increased expression at 10, 15 and 25 DPA of fiber development. qRT-PCR was performed on two samples with drought tolerance extremes (drought-resistant Xinluzao 45 and drought-sensitive Xinluzao 26), revealing that three of the genes had the same differential expression pattern. This study provides a theoretical basis for the genetic analysis of cotton yield traits under drought stress, and provides gene resources for improved breeding of cotton yield traits under drought stress.

Genome-wide identification and expression analysis of SUT gene family members in sugar beet (Beta vulgaris L.).

Sucrose transporters (SUTs) play an important role in the transmembrane transport and distribution of sucrose, and their activity has an important impact on plant growth and crop yield. In this study, the SUT gene family was identified in the whole beet genome using bioinformatics methods, and gene characteristics, subcellular localization prediction, phylogenetic evolution, promoter cis-elements and expression patterns were systematically analyzed. A total of 9 SUT gene family members were identified from in beet genome and divided into 3 different groups (group 1, group 2, and Group 3), which were unevenly distributed on 4 chromosomes. Most SUT family members contained photoresponsive and hormone-regulated response elements. Subcellular localization prediction showed that the BvSUT genes are all located in the inner membrane, and most of the terms identified through GO enrichment analysis are classified as "membrane" related. The results of qRT-PCR showed that the expression level of the BvSUT gene was significantly higher in the tuber enlargement stage (100-140 d) than in other stages. This study is the first to analyze the BvSUT gene family in sugar beet, and it provides a theoretical basis for the functional exploration and application of SUT genes in crop improvement, especially in sugar crops.

Intratumor Injection of Thermosensitive Polypeptide with Resveratrol Inhibits Glioblastoma Growth.

Local tumor treatment is a feasible measure for patients with glioblastoma (GBM) who are unsuitable for surgical resection. Interferon-elastin-like polypeptide [IFN-ELP(V)] is a slow-release, biodegradable, thermosensitive fusion protein with antitumor immunity, and resveratrol (Res) is a polyphenolic compound with an antitumor effect. In this study, we found that intratumor injection of IFN-ELP(V) combined with intraperitoneal injection of Res is more effective in delaying GBM growth in mice. Specifically, in an orthotopic GBM model, we found a significant improvement in the median survival with this strategy. Our results suggested that the combined use of IFN-ELP(V) and Res has a dramatic synergistic effect on GBM, thus providing a novel and effective therapeutic strategy for tumors. Impact statement We report a novel and effective strategy in which the combined use of interferon-elastin-like polypeptide [IFN-ELP(V)] and Res effectively inhibits glioblastoma growth. IFN-ELP(V) can create a reservoir in the tumor and continuously release IFN to produce a powerful in situ antitumor immune response; furthermore, the combination of IFN-ELP(V) and Res is more effective in inhibiting tumor growth.

Yield-based drought tolerance index evaluates the drought tolerance of cotton germplasm lines in the interaction of genotype-by-environment.

Background: Cotton is an economically important crop in China, and drought has seriously affected cotton production. Understanding genetic variation, genotype ×environment interactions, and the associations between these traits is critical for developing improved cotton varieties with high drought tolerance. Methods: To screen ideal drought-resistant cotton germplasm lines and excellent genotypes, the yield traits of 103 cotton germplasm lines were analyzed. Cotton resource material was planted under normal watering and water deficit conditions for three consecutive years. The yield traits under normal irrigation and water stress conditions were measured, and then five screening indicators were calculated based on the cotton yield per plant under the two water treatments to determine the ideal genotype and most accurate identification indicators. Results: The results of correlation analysis and principal component analysis showed that the geometric mean productivity (GMP), mean productivity (MP), and stress tolerance index (STI) were significantly positively correlated with yield under water stress and could be used to distinguish genotypes with high drought tolerance. Among the experimental germplasm lines, some had higher STI and GMP values, indicating their higher drought tolerance. This result indicates that best linear unbiased prediction (BLUP) analysis of the STI and GMP under drought stress can effectively improve screening for drought tolerance in cotton germplasm lines. The results from the screening index, three-dimensional map, and genotype ×environment (GGE) biplots were consistent with the above results. We determined that CQJ-5, Xin lu zao 45, Bellsno, Zhong R 2016 and ND 359-5 are drought-tolerant genotypes that can be used to breed drought-tolerant germplasm lines that produce high and stable yields.

Interpretable modeling and discovery of key predictors for pneumonia diagnosis in children based on electronic medical records.

Background: Community-acquired pneumonia is one of the most common infectious diseases in children and is a leading cause of death among children under 5 years of age, resulting in high rates of antibiotic usage and hospitalization. It is of extremely practical significance to make full use of the existing electronic medical records to study pneumonia and to establish automatic diagnosis models for pneumonia. Methods: We established pneumonia diagnosis models of Bayesian network using a total of 13,448 electronic medical records. We investigated learning network structure and parameter estimation and evaluated different structure learning strategies and various modeling methods. By identifying the key predictors of model, the pneumonia status was analyzed. Results: The performance of the proposed Bayesian network was evaluated using a set of 3361 cases with a precision of 0.7861, a recall of 0.9889, and an F1-score of 0.8759. On an independent external validation set containing 4925 cases, Bayesian network achieved a precision of 0.7382, a recall of 0.9947, and an F1-score of 0.8475. Our proposed Bayesian network outperformed all other methods, including CatBoost, XGBoost, LightGBM, logistic regression, and ridge classification. Conclusion: The appropriate feature selection improved the performance of Bayesian networks. The proposed Bayesian network had good generalizability and could be directly applied to clinical research centers. And the key predictors identified by the network demonstrated good clinical interpretability, allowing for a better understanding of pneumonia status and complications. This study had important clinical value and practical significance for the research and diagnosis of pediatric pneumonia.

Analysis of transcriptome data and quantitative trait loci enables the identification of candidate genes responsible for fiber strength in Gossypium barbadense.

Gossypium barbadense possesses a superior fiber quality because of its fiber length and strength. An in-depth analysis of the underlying genetic mechanism could aid in filling the gap in research regarding fiber strength and could provide helpful information for Gossypium barbadense breeding. Three quantitative trait loci related to fiber strength were identified from a Gossypium barbadense recombinant inbred line (PimaS-7 × 5917) for further analysis. RNA sequencing was performed in the fiber tissues of PimaS-7 × 5917 0-35 days postanthesis. Four specific modules closely related to the secondary wall-thickening stage were obtained using the weighted gene coexpression network analysis. In total, 55 genes were identified as differentially expressed from 4 specific modules. Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes were used for enrichment analysis, and Gbar_D11G032910, Gbar_D08G020540, Gbar_D08G013370, Gbar_D11G033670, and Gbar_D11G029020 were found to regulate fiber strength by playing a role in the composition of structural constituents of cytoskeleton and microtubules during fiber development. Quantitative real-time PCR results confirmed the accuracy of the transcriptome data. This study provides a quick strategy for exploring candidate genes and provides new insights for improving fiber strength in cotton.

Genome-Wide Identification of the SAMS Gene Family in Upland Cotton (Gossypium hirsutum L.) and Expression Analysis in Drought Stress Treatments.

Cotton is an important commercial crop whose growth and yield are severely affected by drought. S-adenosylmethionine (SAM) is widely involved in the plant stress response and growth regulation; however, the role of the S-adenosylmethionine synthase (SAMS) gene family in this process is poorly understood. Here, we systematically analyzed the expression of SAMS genes in Upland Cotton (Gossypium hirsutum L.). A total of 16 SAMS genes were identified, each with a similar predicted structure. A large number of cis-acting elements involved in the response to abiotic stress were predicted based on promoter analysis, indicating a likely important role in abiotic stress responses. The results of qRT-PCR validation showed that GhSAMS genes had different expression patterns after drought stress and in response to drought stress. Analysis of a selected subset of GhSAMS genes showed increased expression in cultivar Xinluzhong 39 (drought resistant) when compared to cultivar Xinluzao 26 (drought-sensitive) upland cotton. This study provides important relevant information for further study of SAMS genes in drought resistance research of upland cotton, which is helpful for drought-resistance improvement of upland cotton.

Jian Pi Tiao Gan Yin alleviates obesity phenotypes through mTORC1/SREBP1 signaling in vitro and in vivo.

Background: Obesity has been considered as a leading cause of multiple metabolic syndromes, such as type 2 diabetes and hypertension cardiovascular diseases. Jian Pi Tiao Gan Yin (JPTGY), a Chinese herb preparation, is used to treat obesity of liver qi stagnation and spleen deficiency. The mechanism of action of JPTGY in obesity remains unclear. This study evaluated the effect of JPTGY on obesity. Methods: The mechanism of action of JPTGY on obesity was investigated in high-fat diet (HFD)-induced obese mice and palmitic acid-treated 3T3-L1 cells. Lipid droplet accumulation was detected using oil red O staining. Factors associated with lipid accumulation were detected by western blotting. Results: Treatment with JPTGY reduced HFD-induced adiposity and body weight gain. JPTGY increased the levels of brown adipose tissue biomarkers in obese mice and palmitic acid-treated 3T3-L1 cells, including peroxisome proliferator-activated receptor gamma coactivator-1-alpha (PGC-1α) and uncoupling protein-1 (UCP-1). Meanwhile, the protein expression of white adipose tissue biomarkers, such as AGT, primary subtalar arthrodesis (PSTA), and endothelin receptor type A (EDNRA), was decreased in obese mice and palmitic acid-treated 3T3-L1 cells. JPTGY affects browning of 3T3-L1 cells through mechanistic target of rapamycin complex 1 (mTORC1) signaling. JPTGY decreased the expression levels of key adipogenic-specific proteins and lipogenic enzymes, including peroxisome proliferator-activated receptor γ (PPARγ), CCAAT/enhancer binding protein α (C/EBPα), sterol regulatory element binding protein (SREBP), and FAS. Treatment with the mTOR activator MHY reversed JPTGY-mediated protein expression. Conclusions: We concluded that JPTGY relieved obesity phenotypes through mTORC1/SREBP1 signaling in vitro and in vivo. JPTGY may benefit the attenuation of obesity.

Mechanisms of the Jian Pi Tiao Gan Yin in the treatment of simple obesity revealed by network pharmacology.

Background: This study sought to examine the mechanism of the Jian Pi Tiao Gan Yin in the treatment of obesity by network pharmacology. Methods: The active components and corresponding targets of the Jian Pi Tiao Gan Yin were identified using the traditional Chinese medicine systems pharmacology database and analysis platform, and the obesity-related targets were acquired from the Online Mendelian Inheritance in Man database. The drug and disease targets were also identified. Cytoscape software was used to construct the "active component target" network diagram. The protein-protein interaction network was drawn using the Search Tool for the Retrieval of Interacting Genes/Proteins platform, and the Cytoscape MCODE plugin was used to find clusters for the protein cluster analysis. The gene annotation and analysis were performed with the Metascape database via functional databases, such as the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), and Autodock and PyMOL were used for the molecular docking. Results: The GO analysis identified 244 target genes of the Jian Pi Tiao Gan Yin, 1,378 targets of obesity, and 123 targets of drug and disease. Additionally, 208 biological process items, 38 molecular function items, and 33 cell component items were also identified. The KEGG pathway analysis identified the hypoxia-inducible factor, forkhead box O, cyclic adenosine monophosphate, and vascular endothelial growth factor signaling pathways. The results of the molecular docking showed that the main active components of the Jian Pi Tiao Gan Yin in the treatment of obesity were quercetin, kaempferol, stigmasterol, luteolin, isorhamnetin, ß-sitosterol, sapogenin, tanshinone, and formononetin, all of which have been proven to bind to core obesity-related proteins, such as AKT1, interleukin-6 (IL-6), vascular endothelial growth factor A (VEGFA), tumor necrosis factor (TNF), tumor protein 53 (TP53), prostaglandin-endoperoxide synthase 2 (PTGS2), caspase-3 (CASP3), mitogen-activated protein kinase 1 (MAPK1), JUN, and epidermal growth factor (EGF). Thus, our study revealed the potential mechanism of the Jian Pi Tiao Gan Yin as a multi-component, multi-target, and multi-channel treatment for obesity. These findings lay the foundation for further studies on the mechanism of the Jian Pi Tiao Gan Yin in obesity treatment. Conclusions: The Jian Pi Tiao Gan Yin can be used as a multi-component, multi-target, and multi-channel treatment for obesity.

The increased ratio of Treg/Th2 in promoting metastasis of hepatocellular carcinoma.

OBJECTIVE: Liver cancer is the fifth most common cancer in the world. Research on the pathogenesis and detailed molecular mechanisms of liver cancer is very important. The immune system plays an important role in regulating the incidence and metastasis of liver cancer. MATERIALS AND METHODS: This work collected 20 blood samples from patients with clinical hepatocellular carcinoma without metastasis, 20 blood samples from patients with metastatic hepatocellular carcinoma, and 20 blood samples from healthy subjects. Flow cytometry was used to analyze the content of Treg and Th2 cells in the three groups of blood samples. Immunofluorescence was applied to analyze the relative expression of CTLA-4 and CD28 in lymphocytes of each group of blood samples. Western blot was used to analyze the T cell surface protein CTLA-4, CD28, GATA3, and FOXP3 expression in each group of blood samples. RESULTS: The expression of CD28 and GATA3 in the blood of patients with hepatocellular carcinoma without metastasis was obviously higher than that of patients with metastasis of hepatocellular carcinoma, which is contrary to the expression trend of CTLA-4 and FOXP3, and corresponds to the content ratio of Treg and Th2 cells, thus verifying the relationship between Treg/Th2 ratio and metastasis of hepatocellular carcinoma. CONCLUSIONS: In the microenvironment of liver cancer, the ratio of Treg/Th2 will increase significantly, thereby promoting the metastasis of hepatocellular carcinoma.

OBJETIVO: El cáncer de hígado es el quinto cáncer más común en el mundo. La investigación sobre la patogenia y los mecanismos moleculares detallados del cáncer de hígado es muy importante. El sistema inmunológico juega un papel importante en la regulación de la incidencia y metástasis del cáncer de hígado. MATERIAL Y MÉTODOS: Este trabajo recogió 20 muestras de sangre de pacientes con carcinoma hepatocelular clínico sin metástasis, 20 muestras de sangre de pacientes con carcinoma hepatocelular metastásico y 20 muestras de sangre de sujetos sanos. Se utilizó citometría de flujo para analizar el contenido de células Treg y Th2 en los tres grupos de muestras de sangre. Se aplicó inmunofluorescencia para analizar la expresión relativa de CTLA-4 y CD28 en linfocitos de cada grupo de muestras de sangre. Se utilizó Western blot para analizar la expresión de la proteína de superficie de células T CTLA-4, CD28, GATA3, FOXP3 en cada grupo de muestras de sangre. RESULTADOS: La expresión de CD28 y GATA3 en la sangre de pacientes con carcinoma hepatocelular sin metástasis fue obviamente mayor que la de pacientes con metástasis de carcinoma hepatocelular, lo cual es contrario a la tendencia de expresión de CTLA-4 y FOXP3, y corresponde al contenido relación de células Treg y Th2, verificando así la relación entre la relación Treg/Th2 y la metástasis del carcinoma hepatocelular. CONCLUSIONES: En el microambiente del cáncer de hígado, la proporción de Treg/Th2 aumentará significativamente, promoviendo así la metástasis del carcinoma hepatocelular.

High Performance 3D Self-Supporting Cu-Bi Aerogels for Electrocatalytic Reduction of CO2 to Formate.

The electrocatalytic reduction of CO2 (CO2 RR) to CO, formate, methane, and other high-value compounds is a promising technique. However, current electrocatalysts suffer from drawbacks such as few active catalytic sites, poor selectivity and low stability, etc, which restrict the practical application. Although monatomic metal catalysts have been widely reported in recent years, high performance non-noble metal aerogels were rarely investigated for electrocatalytic CO2 RR. Herein, Cu-Bi aerogels with boosted CO2 RR activity were well constructed by a simple one-step self-assembly method. The resultant Cu1 Bi2 exhibits excellent CO2 RR activity with high faradaic efficiency (FE) of 96.57 % towards HCOOH at a potential of -0.9 V vs. RHE, and the FEHCOOH remains over 80.18 % in a wide potential window (-0.8 V to -1.2 V vs. RHE). It demonstrated that the enhanced CO2 RR activity of Cu-Bi aerogels could be attributed to the 3D self-supporting structure of the catalysis, synergistic effect, and low interfacial charge transfer resistance.

A poly (glycerol-sebacate-acrylate) nanosphere enhanced injectable hydrogel for wound treatment.

Wound repair remains a huge clinical challenge, which can cause bleeding, infection, and patient death. In our current research, a bioactive, injectable, multifunctional composite hydrogel doped with nanospheres was prepared with antibacterial and angiogenesis-promoting functions for the treatment of wounds. Amino groups in ε-polylysine (ε-EPL) undergo dynamic Schiff base reaction cross-linking with oxidized hyaluronic acid (OHA), and F127 exhibits unique temperature sensitivity to form an injectable thermosensitive hydrogel (FHE10), which can form a hydrogel to cover the wound at body temperature. Nanospheres (PNs) prepared using poly (glyceryl-sebacate-acrylate) (PGSA) were loaded into hydrogels (FHE10) for promoting wound repair. The prepared FHE10 exhibited rapid gelation, good injectable abilities, and showed resistance to the flourish of Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus). In vitro investigations showed that FHE10 had good hemocompatibility and cytocompatibility. FHE10@PNs exhibited good proliferation, migration, and tube formation of human umbilical vein endothelial cells (HUVECs) and human foreskin fibroblasts (HFF-1). Furthermore, FHE10@PNs significantly promoted reepithelialization and collagen deposition as well as micro-vascularization compared with the use of FHE10 or PNs alone, thereby accelerating the repair of wounds. In general, this study demonstrated that the multifunctional injectable composite hydrogel showed great potential in wound treatment.

A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features.

BACKGROUND: Brain invasion in meningioma has independent associations with increased risks of tumor progression, lesion recurrence, and poor prognosis. Therefore, this study aimed to construct a model for predicting brain invasion in WHO grade II meningioma by using preoperative MRI. METHODS: One hundred seventy-three patients with brain invasion and 111 patients without brain invasion were included. Three mainstream features, namely, traditional semantic features and radiomics features from tumor and tumor-to-brain interface regions, were acquired. Predictive models correspondingly constructed on each feature set or joint feature set were constructed. RESULTS: Traditional semantic findings, e.g., peritumoral edema and other four features, had comparable performance in predicting brain invasion with each radiomics feature set. By taking advantage of semantic features and radiomics features from tumoral and tumor-to-brain interface regions, an integrated nomogram that quantifies the risk factor of each selected feature was constructed and had the best performance in predicting brain invasion (area under the curve values were 0.905 in the training set and 0.895 in the test set). CONCLUSIONS: This study provided a clinically available and promising approach to predict brain invasion in WHO grade II meningiomas by using preoperative MRI.

Genome-wide identification and expression analysis of the 2OG-Fe(II) oxygenase gene family in upland cotton (Gossypium hirsutum L.).

The 2OG-Fe(II) oxygenase (RF) family of enzyme proteins can affect bulliform cells and cause leaf curling. However, there are few studies related to this family in cotton, and there has been no systematic analysis of RF genes. Here, we determined 25 RF genes in the complete genome sequence of upland cotton (Gossypium hirsutum L.) and 11 RF genes in the complete genome sequence of Arabidopsis thaliana. Cotton RF proteins can be divided into three categories. Whole genome/fragment and scattered replication events played an important role in the expansion of the RF gene family. qRT-PCR analysis results showed that RF genes respond to drought stress Pairwise comparison results showed that the expression of RF genes in Shi yuan 321 was higher than that in Kui 85-174. Overall, genome-wide identification approach was used to further analyze the related functions of the RF gene family, which may include the response to drought stress, in cotton. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01065-4.