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1.
Methods Mol Biol ; 2553: 209-220, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36227546

RESUMO

The fastest-growing bacterium Vibrio natriegens is a highly promising next-generation workhorse for molecular biology and industrial biotechnology. In this work, we described the workflows for developing genome-scale metabolic models and genome-editing protocols for engineering Vibrio natriegens. A case study for metabolic engineering of Vibrio natriegens for the production of 1,3-propanediol was also presented.


Assuntos
Engenharia Metabólica , Vibrio , Edição de Genes , Propilenoglicóis , Vibrio/genética , Vibrio/metabolismo
2.
J Cell Physiol ; 2022 Nov 21.
Artigo em Inglês | MEDLINE | ID: mdl-36409765

RESUMO

Colorectal cancer (CRC) is the malignant tumor with the highest incidence in the digestive system, and the gut microbiome plays a crucial role in CRC tumorigenesis and therapy. The gastrointestinal tract is the organ harboring most of the microbiota in humans. Changes in the gut microbiome in CRC patients suggest possible host-microbe interactions, thereby hinting the potential tumorigenesis, which provides new perspective for preventing, diagnosing, or treating CRC. In this review, we discuss the effects of gut microbiome dysbiosis on CRC, and reveal the mechanisms by which gut microbiome dysbiosis leads to CRC. Gut microbiome modulation with the aim to reverse the established gut microbial dysbiosis is a novel strategy for the prevention and treatment of CRC. In addition, this review summarizes that probiotic antagonize CRC tumorigenesis by protecting intestinal barrier function, inhibiting cancer cell proliferation, resisting oxidative stress, and enhancing host immunity. Finally, we highlight clinical applications of the gut microbiome, such as gut microbiome analysis-based biomarker screening and prediction, and microbe modulation-based CRC prevention, treatment enhancement, and treatment side effect reduction. This review provides the reference for the clinical application of gut microbiome in the prevention and treatment of CRC.

3.
Front Neurol ; 13: 964590, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36388191

RESUMO

As a member of integrin receptor family, ITGAV (integrin subunit α V) is involved in a variety of cell biological processes and overexpressed in various cancers, which may be a potential prognostic factor. However, its prognostic value and potential function in lower-grade glioma (LGG) are still unclear, and in terms of immune infiltration, it has not been fully elucidated. Here, the expression preference, prognostic value, and clinical traits of ITGAV were investigated using The Cancer Genome Atlas database (n = 528) and the Chinese Glioma Genome Atlas dataset (n = 458). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses and gene set enrichment analysis (GSEA) were used to explore the biological function of ITGAV. Using R package "ssGSEA" analysis, it was found thatthe ITGAV mRNA expression level showed intense correlation with tumor immunity, such as tumor-infiltrating immune cells and multiple immune-related genes. In addition, ITGAV is associated with some immune checkpoints and immune checkpoint blockade (ICB) and response to chemotherapy. and the expression of ITGAV protein in LGG patients was verified via immunohistochemistry (IHC). ITGAV expression was higher in LGG tissues than in normal tissues (P < 0.001) and multifactor analysis showed that ITGAV mRNA expression was an independent prognostic factor for LGG overall survival (OS; hazard ratio = 2.113, 95% confidence interval = 1.393-3.204, P < 0.001). GSEA showed that ITGAV expression was correlated with Inflammatory response, complement response, KRAS signal, and interferon response. ssGSEA results showed a positive correlation between ITGAV expression and Th2 cell infiltration level. ITGAV mRNA was overexpressed in LGG, and high ITGAV mRNA levels were found to be associated with poor protein expression and poor OS. ITGAV is therefore a potential biomarker for the diagnosis and prognosis of LGG and may be a potential immunotherapy target.

4.
Acta Pharm Sin B ; 12(11): 4165-4179, 2022 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-36386477

RESUMO

Enzalutamide (ENZ) is a second-generation androgen receptor (AR) antagonist used for the treatment of castration-resistant prostate cancer (CRPC) and reportedly prolongs survival time within a year of starting therapy. However, CRPC patients can develop ENZ resistance (ENZR), mainly driven by abnormal reactivation of AR signaling, involving increased expression of the full-length AR (ARfl) or dominantly active androgen receptor splice variant 7 (ARv7) and ARfl/ARv7 heterodimers. There is currently no efficient treatment for ENZR in CRPC. Herein, a small molecule LLU-206 was rationally designed based on the ENZ structure and exhibited potent inhibition of both ARfl and constitutively active ARv7 to inhibit PCa proliferation and suppress ENZR in CRPC. Mechanically, LLU-206 promoted ARfl/ARv7 protein degradation and decreased ARfl/ARv7 heterodimers through mouse double minute 2-mediated ubiquitination. Finally, LLU-206 exhibited favorable pharmacokinetic properties with poor permeability across the blood-brain barrier, leading to a lower prevalence of adverse effects, including seizure and neurotoxicity, than ENZ-based therapies. In a nutshell, our findings demonstrated that LLU-206 could effectively inhibit ARfl/ARv7-driven CRPC by dual-targeting of ARfl/ARv7 heterodimers and protein degradation, providing new insights for the design of new-generation AR inhibitors to overcome ARfl/ARv7-driven CRPC.

5.
J Inflamm Res ; 15: 6165-6186, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36386585

RESUMO

Background: The immune system plays a fundamental role in the pathophysiology of sepsis, and autophagy and autophagy-related molecules are crucial in innate and adaptive immune responses; however, the potential roles of autophagy-related genes (ARGs) in sepsis are not comprehensively understood. Methods: A systematic search was conducted in ArrayExpress and Gene Expression Omnibus (GEO) cohorts from July 2005 to May 2022. Machine learning approaches, including modified Lasso penalized regression, support vector machine, and artificial neural network, were applied to identify hub ARGs, thereby developing a prediction model termed ARG classifier. Diagnostic and prognostic performance of the model was comprehensively analyzed using multi-transcriptome data. Subsequently, we systematically correlated the ARG classifier/hub ARGs with immunological characteristics of multiple aspects, including immune cell infiltration, immune and molecular pathways, cytokine levels, and immune-related genes. Further, we collected clinical specimens to preliminarily investigate ARG expression levels and to assess the diagnostic performance of ARG classifier. Results: A total of ten GEO and three ArrayExpress datasets were included in this study. Based on machine learning algorithms, eight key ARGs (ATG4C, BAX, BIRC5, ERBB2, FKBP1B, HIF1A, NCKAP1, and NFKB1) were integrated to establish ARG classifier. The model exhibited excellent diagnostic values (AUC > 0.85) in multiple datasets and multiple points in time and superiorly distinguished sepsis from other critical illnesses. ARG classifier showed significant correlations with clinical characteristics or endotypes and performed better in predicting mortality (AUC = 0.70) than other clinical characteristics. Additionally, the identified hub ARGs were significantly associated with immune cell infiltration (B, T, NK, dendritic, T regulatory, and myeloid-derived suppressor cells), immune and molecular pathways (inflammation-promoting pathways, HLA, cytolytic activity, apoptosis, type-II IFN response, complement and coagulation cascades), levels of several cytokines (PDGFRB, IL-10, IFNG, and TNF), which indicated that ARG classifier/hub ARGs adequately reflected the immune microenvironment during sepsis. Finally, using clinical specimens, the expression levels of key ARGs in patients with sepsis were found to differ significantly from those of control patients, and ARG classifier exhibited superior diagnostic performance, compared to procalcitonin and C-reactive protein. Conclusion: Collectively, a diagnostic and prognostic model (ARG classifier) based on eight ARGs was developed which may assist clinicians in diagnosis of sepsis and recognizing patient at high risk to guide personalized treatment. Additionally, the ARG classifier effectively reflected the immune microenvironment diversity of sepsis and may facilitate personalized counseling for specific therapy.

6.
Adv Clin Exp Med ; 2022 Nov 18.
Artigo em Inglês | MEDLINE | ID: mdl-36398374

RESUMO

BACKGROUND: Brain-derived neurotrophic factor (BDNF) is essential for the development of dopaminergic neurons in the substantia nigra. OBJECTIVES: To investigate the level of BDNF among Parkinson's disease (PD) subjects and the influence of depression on BDNF levels. MATERIAL AND METHODS: A total of 1920 subjects were included in the analysis; of these, 1034 had PD and 886 were healthy controls. A thorough literature search up to May 2022 was conducted. The mean difference (MD) of BDNF levels and 95% confidence intervals (95% CIs) were calculated with random or fixed effects models. RESULTS: Compared to healthy controls, levels of BDNF were significantly lower in patients with PD (MD = -1.60, 95% CI (-2.49, -0.70), p < 0.001). Patients with PD and depression had significantly lower levels of BDNF (MD = -3.39, 95% CI (-5.55, -1.23), p = 0.002), as well as those with PD without depression (MD = -0.80, 95% CI (-1.56, -0.03), p = 0.04). However, there was no discernible change in BDNF levels (MD = -0.82, 95% CI (1.75, 0.10), p = 0.08) between the participants with PD and depression compared to the PD patients alone. CONCLUSION: Compared with healthy controls, BDNF levels were significantly lower in the subjects with PD combined with depression, and PD without depression. However, there was no discernible difference in BDNF levels between subjects with PD with depression compared to those with PD without depression.

7.
Nat Commun ; 13(1): 6966, 2022 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-36379928

RESUMO

High-voltage lithium metal batteries suffer from poor cycling stability caused by the detrimental effect on the cathode of the water moisture present in the non-aqueous liquid electrolyte solution, especially at high operating temperatures (e.g., ≥60 °C). To circumvent this issue, here we report lithium hexamethyldisilazide (LiHMDS) as an electrolyte additive. We demonstrate that the addition of a 0.6 wt% of LiHMDS in a typical fluorine-containing carbonate-based non-aqueous electrolyte solution enables a stable Li||LiNi0.8Co0.1Mn0.1O2 (NCM811) coin cell operation up to 1000 or 500 cycles applying a high cut-off cell voltage of 4.5 V in the 25 °C-60 °C temperature range. The LiHMDS acts as a scavenger for hydrofluoric acid and water and facilitates the formation of an (electro)chemical robust cathode|electrolyte interphase (CEI). The LiHMDS-derived CEI prevents the Ni dissolution of NCM811, mitigates the irreversible phase transformation from layered structure to rock-salt phase and suppresses the side reactions with the electrolyte solution.

8.
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi ; 57(11): 1311-1318, 2022 Nov 07.
Artigo em Chinês | MEDLINE | ID: mdl-36404656

RESUMO

Objective: The purpose of this article is to translate and adapt the Trans Woman Voice Questionnaire (TWVQ) into the simplified Chinese version (TWVQ-SC), and to evaluate its reliability and validity. Methods: Authorized by the author of the TWVQ,the TWVQ-SC was developed through translation, back translation,and cross-cultural adaptation.The TWVQ-SC contained 30 items capturing personal perception of vocal function, psychosocial impact of voice, and degree of limitation in social participation. Subjects included 279 trans women in the experimental group, 128 cis women in the control group, and 89 trans women in the retest group. The Cronbach α and the item total correlation coefficient (ITC) were calculated to examine the internal consistency. The intraclass correlation coefficient (ICC) was chosen to examine the test-retest reliability. Regarding validity, the expert judgment method was utilized to examine the content validity. Factor analysis and Spearman's rank correlation coefficient were used to examine the construct validity, and the discriminant validity was examined by the rank sum test of the total scores of the cisgender and transgender subjects. Results: The Cronbach's α of TWVQ-SC is 0.97 and the ITC of 30 items range from 0.40 to 0.86. The ICC is 0.84. The four principal components' cumulative contribution is 65.12%. The Spearman rank correlation coefficient to VHI-10 is 0.85 (P<0.01). The total score of the TWVQ scale in the transgender female group is significantly higher than that in the cisgender female group (U=1 580,P<0.01). Conclusion: TWVQ-SC demonstrates good reliability and validity and therefore can be used clinically as a self-assessment tool for transgender women to evaluate their own voice.


Assuntos
Idioma , Traduções , Humanos , Feminino , Reprodutibilidade dos Testes , Inquéritos e Questionários , China
9.
Artigo em Inglês | MEDLINE | ID: mdl-36408341

RESUMO

Objective: Increasing studies reported that long noncoding RNAs are involved in regulating glioma progression. However, the specific roles and mechanisms of lncRNAs in glioma remain unclear. Here, we sought to explore the functions of HOXD-AS2 in glioma progression. Methods: Gene expressions of lncRNAs in 5 normal brain tissue specimens and 5 glioblastoma tissue specimens were detected by gene expression profile chip technology. Bioinformatic analysis was performed to see whether differential expression of lncRNAs played any significant role in glioma occurrence and progression. The relationship between HOXD-AS2 level and clinical prognosis of the patients was analyzed. HOXD-AS2 was specifically interfered with by siRNA technology to observe its effects on U251 cell growth, proliferation, apoptosis, and invasion. Results: The expression level of HOXD-AS2 gene in glioma was significantly higher than that in the normal brain tissue, which was related to the tumor grade. The level of HOXD-AS2 gene in patients with high-grade glioma was higher than that in patients with low-grade glioma. High expression of HOXD-AS2 gene was a risk factor for poor prognosis of glioma patients. Knocking down the expression of HOXD-AS2 in glioma cell line U251 arrested the cell cycle and reduced the cell proliferation. Furthermore, it could significantly reduce the migration ability of the cells but had no significant effect on the invasion. Conclusion: HOXD-AS2 is an oncogenic lncRNA associated with the poor prognosis of glioma. Knockdown of HOXD-AS2 may reduce the growth of glioma, which may provide a new avenue for treatment.

10.
Curr Opin Biotechnol ; 78: 102845, 2022 Nov 17.
Artigo em Inglês | MEDLINE | ID: mdl-36403537

RESUMO

Diols are important bulk chemicals that are widely used in polymer, cosmetics, fuel, food, and pharmaceutical industries. The development of bioprocess to produce diols from renewable feedstocks has gained much interest in recent years and is contributing to reducing the carbon footprint of the chemical industry. Although bioproduction of some natural diols such as 1,3-propanediol and 2,3-butanediol has been commercialized, microbial production of most other diols is still challenging due to the lack of natural biosynthetic pathways. This review describes the recent efforts in the development of novel synthetic pathways and metabolic engineering strategies for the biological production of C2∼C5 diols. We also discussed the main challenges and future perspectives for the microbial processes toward industrial application.

11.
Metab Eng ; 74: 168-177, 2022 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-36328298

RESUMO

1,5-Pentanediol (1,5-PDO) is a high value-added chemical which is widely used as a monomer in the polymer industry. There are no natural organisms that could directly produce 1,5-PDO from renewable carbon sources. In this study, we report metabolic engineering of Escherichia coli for high-level production of 1,5-PDO from glucose via a cadaverine-derived pathway. In the newly proposed pathway, cadaverine can be converted to 1,5-PDO via 5-hydroxyvalerate (5-HV) by introducing only one heterologous enzyme in E. coli. Different endogenous genes of E. coli were screened and heterologous carboxylic acid reductase genes were tested to build a functional pathway. Compared to the previously reported pathways, the engineered cadaverine-based pathway has a higher theoretical yield (0.70 mol/mol glucose) and higher catalytic efficiency. By further combining strategies of pathway engineering and process engineering, we constructed an engineered E. coli strain that could produce 2.62 g/L 1,5-PDO in shake-flask and 9.25 g/L 1,5-PDO with a yield of 0.28 mol/mol glucose in fed-batch fermentation. The proposed new pathway and engineering strategies reported here should be useful for developing biological routes to produce 1,5-PDO for real application.


Assuntos
Escherichia coli , Engenharia Metabólica , Cadaverina/metabolismo , Escherichia coli/genética , Escherichia coli/metabolismo , Fermentação , Glucose/genética , Glucose/metabolismo
12.
Plant Methods ; 18(1): 119, 2022 Nov 08.
Artigo em Inglês | MEDLINE | ID: mdl-36344997

RESUMO

BACKGROUND: Wheat is an important food crop globally, and timely prediction of wheat yield in breeding efforts can improve selection efficiency. Traditional yield prediction method based on secondary traits is time-consuming, costly, and destructive. It is urgent to develop innovative methods to improve selection efficiency and accelerate genetic gains in the breeding cycle. RESULTS: Crop yield prediction using remote sensing has gained popularity in recent years. This paper proposed a novel ensemble feature selection (EFS) method to improve yield prediction from hyperspectral data. For this, 207 wheat cultivars and breeding lines were grown under full and limited irrigation treatments respectively, and their canopy hyperspectral reflectance was measured at the flowering, early grain filling (EGF), mid grain filling (MGF), and late grain filling (LGF) stages. Then, 115 vegetation indices were extracted from the hyperspectral reflectance and combined with four feature selection methods, i.e., mean decrease impurity (MDI), Boruta, FeaLect, and RReliefF to train deep neural network (DNN) models for yield prediction. Next, a learning framework was developed by combining the predicted values of the selected and the full features using multiple linear regression (MLR). The results show that the selected features contributed to higher yield prediction accuracy than the full features, and the MDI method performed well across growth stages, with a mean R2 ranging from 0.634 to 0.666 (mean RMSE = 0.926-0.967 t ha-1). Also, the proposed EFS method outperformed all the individual feature selection methods across growth stages, with a mean R2 ranging from 0.648 to 0.679 (mean RMSE = 0.911-0.950 t ha-1). CONCLUSIONS: The proposed EFS method can improve grain yield prediction from hyperspectral data and can be used to assist wheat breeders in earlier decision-making.

13.
Genome Biol ; 23(1): 235, 2022 Nov 08.
Artigo em Inglês | MEDLINE | ID: mdl-36348461

RESUMO

BACKGROUND: Pseudogenes are excellent markers for genome evolution, which are emerging as crucial regulators of development and disease, especially cancer. However, systematic functional characterization and evolution of pseudogenes remain largely unexplored. RESULTS: To systematically characterize pseudogenes, we date the origin of human and mouse pseudogenes across vertebrates and observe a burst of pseudogene gain in these two lineages. Based on a hybrid sequencing dataset combining full-length PacBio sequencing, sample-matched Illumina sequencing, and public time-course transcriptome data, we observe that abundant mammalian pseudogenes could be transcribed, which contribute to the establishment of organ identity. Our analyses reveal that developmentally dynamic pseudogenes are evolutionarily conserved and show an increasing weight during development. Besides, they are involved in complex transcriptional and post-transcriptional modulation, exhibiting the signatures of functional enrichment. Coding potential evaluation suggests that 19% of human pseudogenes could be translated, thus serving as a new way for protein innovation. Moreover, pseudogenes carry disease-associated SNPs and conduce to cancer transcriptome perturbation. CONCLUSIONS: Our discovery reveals an unexpectedly high abundance of mammalian pseudogenes that can be transcribed and translated, and these pseudogenes represent a novel regulatory layer. Our study also prioritizes developmentally dynamic pseudogenes with signatures of functional enrichment and provides a hybrid sequencing dataset for further unraveling their biological mechanisms in organ development and carcinogenesis in the future.


Assuntos
Neoplasias , Pseudogenes , Humanos , Camundongos , Animais , Genoma , Mamíferos/genética , Análise de Sequência de DNA , Neoplasias/genética
14.
Clin Immunol ; 245: 109179, 2022 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-36368641

RESUMO

The present study, which involved 10 GEO datasets and 3 ArrayExpress datasets, comprehensively characterized the potential effects of CMGs in sepsis. Based on machine learning algorithms (Lasso, SVM and ANN), the CMG classifier was constructed by integrating 6 hub CMGs (CD28, CD40, LTB, TMIGD2, TNFRSF13C and TNFSF4). The CMG classifier exhibit excellent diagnostic values across multiple datasets and time points, and was able to distinguish sepsis from other critical diseases. The CMG classifier performed better in predicting mortality than other clinical characteristics or endotypes. More importantly, from clinical specimens, the CMG classifier showed more superior diagnostic values than PCT and CRP. Alternatively, the CMG classifier/hub CMGs is significantly correlated with immune cells infiltration (B cells, T cells, Tregs, and MDSC), pivotal immune and molecular pathways (inflammation-promoting, complement and coagulation cascades), and several cytokines. Collectively, CMG classifier was a robust tool for diagnosis, prognosis and recognition of immune microenvironment features in sepsis.


Assuntos
Sepse , Humanos , Prognóstico , Sepse/diagnóstico , Sepse/genética , Algoritmos , Antígenos CD40 , Antígenos CD28 , Ligante OX40
15.
FEMS Microbiol Lett ; 369(1)2022 Nov 23.
Artigo em Inglês | MEDLINE | ID: mdl-36370448

RESUMO

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), is a serious contagious disease. MTB-encoded small regulatory RNA (sRNA) MTS2823 was reported to be upregulated in the plasma of TB patients. Nevertheless, whether MTS2823 is implicated in MTB drug resistance is unclear. Human macrophage cell line THP-1 was infected with the drug-susceptible strain H37Rv or the multidrug-resistant (MDR) strain 8462. Colony-forming unit assay was implemented for evaluating intracellular growth of the MTB strains. Enzyme-linked immunosorbent assay was used for measurement of inflammatory cytokines. Real-time quantitative polymerase chain reaction was utilized to assess MTS2823 and recombinase A (recA) expression in strains 8462 and H37Rv. Nitric oxide (NO) production in the MDR strain-infected THP-1 cells was measured. In this study, MTS2823 was found to display a low level in the MDR strain. Overexpressing MTS2823 promoted intracellular growth of the MDR strain and inhibited inflammatory cytokine and NO production in infected THP-1 cells. RecA might be a target of MTS2823 in the MDR strain. Overall, MTB-encoded sRNA MTS2823 displays a low level and regulates the growth of the MDR strain in THP-1 cells by modulating recA.


Assuntos
Mycobacterium tuberculosis , Tuberculose Resistente a Múltiplos Medicamentos , Tuberculose , Humanos , Tuberculose Resistente a Múltiplos Medicamentos/genética , Tuberculose Resistente a Múltiplos Medicamentos/microbiologia , Antituberculosos/farmacologia , Macrófagos/microbiologia , Citocinas/genética
16.
Front Immunol ; 13: 894919, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36420264

RESUMO

Background: Thyroid tissue has a special immune microenvironment that is not well characterized. Whether immune cells have a prognostic value in the recurrence of papillary thyroid cancer (PTC) needs further investigation. Methods: Multinodular non-toxic goiter (MNG) was taken as normal tissue for the difficulty in obtaining completely normal thyroid tissue (normal thyroid function, no thyroiditis, and no nodules). We compared the composition of mononuclear cells (MNCs) in peripheral blood and thyroid tissues from MNG and PTC patients by high-dimensional flow cytometry profiling and verified the results by multiplex immunohistochemistry. The recurrence rates of PTC patients with different CD8+T cell subset signatures were compared using TCGA database. Results: We observed that the immune cell composition of MNG was different from that in peripheral blood. Thyroid tissue contains higher percentages of T cells and NK cells. Moreover, the percentages of memory T cells and Treg cells were higher in thyroid than in peripheral blood and increased in PTC tumors. We further focused on the antitumoral CD8+T cells and found that the expression patterns of PD-1, CD39, and CD103 on CD8+T cells were different between MNG and PTC. Importantly, we found higher percentages of PD-1+CD39+CD103+CD8+T and PD-1+CD39+CD103-CD8+T cells in PTC tumor tissues from recurrent patients than non-recurrent patients. By analyzing PTC data from TCGA database, we found that the expression patterns of these molecules were associated with different pathologic types and genders among PTC patients. Moreover, patients with PD-1hiCD39loCD103hiCD8hi, PD-1hiCD39hiCD103loCD8hi, and PD-1loCD39hiCD103hiCD8hi expression patterns have a higher 10-year recurrence-free survival. Conclusion: The immune microenvironment in MNG tissue is distinct from that in peripheral blood and paratumor tissue. More memory CD8+T cells were detected in PTC, and expression patterns of PD-1, CD39, and CD103 on CD8+T cells were significantly different in physiology and gender and associated with the recurrence rate of PTC. These observations indicate that CD8+T cell signatures may be useful prognostic markers for PTC recurrence.


Assuntos
Receptor de Morte Celular Programada 1 , Neoplasias da Glândula Tireoide , Humanos , Feminino , Masculino , Câncer Papilífero da Tireoide/metabolismo , Prognóstico , Receptor de Morte Celular Programada 1/metabolismo , Linfócitos T CD8-Positivos , Linfócitos T Reguladores , Neoplasias da Glândula Tireoide/patologia , Microambiente Tumoral
17.
Hepatol Int ; 2022 Nov 22.
Artigo em Inglês | MEDLINE | ID: mdl-36418844

RESUMO

BACKGROUND: Perineural invasion (PNI) is associated with metastasis in malignancies, including intrahepatic cholangiocarcinoma (ICC), and is correlated with poor prognosis. METHODS: The study included three large cohorts: ZS-ICC and TMA cohorts from our team, MSK cohort from a public database, and a small cohort named cohort 4. Prognostic implications of PNI were investigated in MSK cohort and TMA cohort. PNI-related genomic and transcriptomic profiles were analyzed in MSK and ZS-ICC cohorts. GO, KEGG, and ssGSEA analyses were performed. Immunohistochemistry was used to investigate the relationship between PNI and markers of neurons, hydrolases, and immune cells. The efficacy of adjuvant therapy in ICC patients with PNI was also assessed. RESULTS: A total of 30.6% and 20.7% ICC patients had PNI in MSK and TMA cohorts respectively. Patients with PNI presented with malignant phenotypes such as high CA19-9, the large bile duct type, lymph node invasion, and shortened overall survival (OS) and relapse-free survival (RFS). Nerves involved in PNI positively express tyrosine hydroxylase (TH), a marker of sympathetic nerves. Patients with PNI showed high mutation frequency of KRAS and an immune suppressive metastasis prone niche of decreased NK cell, increased neutrophil, and elevated PD-L1, CD80, and CD86 expression. Patients with PNI had an extended OS after adjuvant therapy with TEGIO, GEMOX, or capecitabine. CONCLUSION: Our study deciphered the genomic features and the immune suppressive metastasis-prone niche in ICC with PNI. Patients with PNI showed a poor prognosis after surgery but a good response to adjuvant chemotherapy.

18.
Water Res ; 228(Pt A): 119360, 2022 Nov 16.
Artigo em Inglês | MEDLINE | ID: mdl-36402060

RESUMO

Bubble aeration has been widely applied in water/wastewater treatment, however its low gas utilization rate results in high energy consumption. Application of micro-nanobubbles (MNB) has emerged as a process with the potential to significantly increase gas utilisation due to their high relative surface area and high gas-liquid mass transfer efficiency. In this study, we demonstrate through calibrated models that MNB of an optimum bubble size can shrink and burst at or below the water surface enabling (1) all encapsulated gas to thoroughly dissolve in water, and (2) the bursting of nanobubbles to potentially generate free radicals. Through the understanding of MNB dimensional characteristics and bubble behaviour in water, a dynamic model that integrated force balance (i.e. buoyancy force, gravity, drag force, Basset force and virtual mass force), and mass transfer was developed to describe the rising velocity and radius variation of MNB along its upward trajectory. Unlike for conventional millimetre-sized bubbles, intensive gas dissolution of MNBs led to radius reduction for small bubbles, while a large initial radius triggers bubble swelling. The initial water depth was also crucial, where greater depth could drive the potential for bubble shrinkage so that they were more liable to contract. For example, the optimum bubble size of air (42-194 µm) and oxygen (127-470 µm) MNB that could achieve complete gas transfer (100% gas utilisation) for a range of specific water depths (0.5-10 m) were calculated. The modelling results for microbubbles (10-530 µm) were well validated by the experimental data (R2>0.85). However, the validation of the modelling results for nanobubble (<1 µm) aeration requires further study due to a lack of available empirical data. In this study, the proposed model and analysis provided new insights into understanding bubble dynamics in water and offered fundamental guidance for practitioners looking to upgrade bubble aeration system.

19.
Front Oncol ; 12: 987481, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36425563

RESUMO

Objective: This study aimed to investigate the role of ficolin-2 (FCN2) in the development and course of hepatocellular carcinoma (HCC) and to contribute to the evolution of innovative HCC therapeutics. Methods: Oncomine, GEPIA (Gene Expression Profiling Interactive Analysis), TISIDB (Tumor Immune System Interactions and Drug Bank database), UALCAN (University of Alabama at Birmingham Cancer data analysis portal), UCSC (University of California, Santa Cruz), R package, the Kaplan-Meier technique, Cox regression analysis, LinkedOmics, Pearson's correlation, and a nomogram were used to investigate the prognostic value of FCN2 in HCC. Co-expressed genes were screened. A protein-protein interaction network was created using the STRING database. Finally, immunohistochemistry was performed to establish the expression of FCN2 in HCC tissues. A pan-cancer study centered on HCC-related molecular analysis was also conducted to look for a link between FCN2 and immune infiltration, immune modulators, and chemokine receptors. Results: In HCC tissues, the expression of FCN2 was observed to be lower than that in normal tissues. This was connected to the HCC marker alpha-fetoprotein, showing that FCN2 is involved in the development and progression of cancer. FCN2 may act through Staphylococcus aureus infection, lectins, and other pathways. Furthermore, at the immune level, the expression of FCN2 in HCC was associated with some immune cell infiltration, immunomodulators, and chemokine receptors. Conclusion: FCN2 may be an immune checkpoint inhibitor for HCC, creating a breakthrough in the treatment of HCC.

20.
Nat Commun ; 13(1): 7235, 2022 Nov 24.
Artigo em Inglês | MEDLINE | ID: mdl-36433940

RESUMO

Heterogeneity of endothelial cell (EC) populations reflects their diverse functions in maintaining tissue's homeostasis. However, their phenotypic, molecular, and functional properties are not entirely mapped. We use the Tie2-CreERT2;Rosa26-tdTomato reporter mouse to trace, profile, and cultivate primary ECs from different organs. As paradigm platform, we use this strategy to study bone marrow endothelial cells (BMECs). Single-cell mRNA sequencing of primary BMECs reveals that their diversity and native molecular signatures is transitorily preserved in an ex vivo culture that conserves key cell-to-cell microenvironment interactions. Macrophages sustain BMEC cellular diversity and expansion and preserve sinusoidal-like BMECs ex vivo. Endomucin expression discriminates BMECs in populations exhibiting mutually exclusive properties and distinct sinusoidal/arterial and tip/stalk signatures. In contrast to arterial-like, sinusoidal-like BMECs are short-lived, form 2D-networks, contribute to in vivo angiogenesis, and support hematopoietic stem/progenitor cells in vitro. This platform can be extended to other organs' ECs to decode mechanistic information and explore therapeutics.

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