PILRB potentiates the PI3K/AKT signaling pathway and reprograms cholesterol metabolism to drive gastric tumorigenesis and metastasis.

Paired immunoglobin-like type 2 receptor beta (PILRB) mainly plays a crucial role in regulating innate immunity, but whether PILRB is involved in cancer is poorly understood. Here, we report that PILRB potentiates the PI3K/AKT pathway to drive gastric tumorigenesis by binding and stabilizing IRS4, which could hyperactivate the PI3K/AKT pathway. Firstly, the levels of PILRB are upregulated in human gastric cancer (GC) specimens and associated with poor prognosis in patients with GC. In addition, our data show that PILRB promotes cell proliferation, colony formation, cell migration and invasion in GC cells in vitro and in vivo. Mechanistically, PILRB recruits the deubiquitination enzymes OTUB1 to IRS4 and relieves K48-linked ubiquitination of IRS4, protecting IRS4 protein from proteasomal-mediated degradation and subsequent activation of the PI3K/AKT pathway. Importantly, the levels of PILRB are positively correlated with IRS4 in GC specimens. Meanwhile, we also found that PILRB reprogrammed cholesterol metabolism by altering ABCA1 and SCARB1 expression levels, and PILRB-expression confers GC cell resistance to statin treatment. Taken together, our findings illustrate that the oncogenic role of PILRB in gastric tumorigenesis, providing new insights into the regulation of PI3K/AKT signaling in GC and establishing PILRB as a biomarker for simvastatin therapy resistance in GC.

Corrigendum: Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: from static images to CEUS video analysis.

[This corrects the article DOI: 10.3389/fonc.2022.951973.].

Revealing Novel Genes Related to Parkinson's Disease Pathogenesis and Establishing an associated Model.

Parkinson's disease (PD) represents a multifaceted neurological disorder whose genetic underpinnings warrant comprehensive investigation. This study focuses on identifying genes integral to PD pathogenesis and evaluating their diagnostic potential. Initially, we screened for differentially expressed genes (DEGs) between PD and control brain tissues within a dataset comprising larger number of specimens. Subsequently, these DEGs were subjected to weighted gene co-expression network analysis (WGCNA) to discern relevant gene modules. Notably, the yellow module exhibited a significant correlation with PD pathogenesis. Hence, we conducted a detailed examination of the yellow module genes using a cytoscope-based approach to construct a protein-protein interaction (PPI) network, which facilitated the identification of central hub genes implicated in PD pathogenesis. Employing two machine learning techniques, including XGBoost and LASSO algorithms, along with logistic regression analysis, we refined our search to three pertinent hub genes: FOXO3, HIST2H2BE, and HDAC1, all of which demonstrated a substantial association with PD pathogenesis. To corroborate our findings, we analyzed two PD blood datasets and clinical plasma samples, confirming the elevated expression levels of these genes in PD patients. The association of the genes with PD, as reflected by the area under the curve (AUC) values for FOXO3, HIST2H2BE, and HDAC1, were moderate for each gene. Collectively, this research substantiates the heightened expression of FOXO3, HIST2H2BE, and HDAC1 in both PD brain and blood samples, underscoring their pivotal contribution to the pathogenesis of PD.

Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) remains a formidable malignancy that significantly impacts human health, and the early diagnosis of HCC holds paramount importance. Therefore, it is imperative to develop an efficacious signature for the early diagnosis of HCC. In this study, we aimed to develop early HCC predictors (eHCC-pred) using machine learning-based methods and compare their performance with existing methods. The enhancements and advancements of eHCC-pred encompassed the following: (i) utilization of a substantial number of samples, including an increased representation of cirrhosis tissues without HCC (CwoHCC) samples for model training and augmented numbers of HCC and CwoHCC samples for model validation; (ii) incorporation of two feature selection methods, namely minimum redundancy maximum relevance and maximum relevance maximum distance, along with the inclusion of eight machine learning-based methods; (iii) improvement in the accuracy of early HCC identification, elevating it from 78.15 to 97% using identical independent datasets; and (iv) establishment of a user-friendly web server. The eHCC-pred is freely accessible at http://www.dulab.com.cn/eHCC-pred/ . Our approach, eHCC-pred, is anticipated to be robustly employed at the individual level for facilitating early HCC diagnosis in clinical practice, surpassing currently available state-of-the-art techniques.

FAM83D acts as an oncogene by regulating cell cycle progression via multiple pathways in synovial sarcoma: a potential novel downstream target oncogene of anlotinib.

OBJECTIVE: Synovial Sarcoma (SS), a highly malignant mesenchymal neoplasm, typically carries a grim prognosis for patients presenting with high-grade or metastatic disease. Although Anlotinib, a new agent for treating soft tissue sarcomas, holds promise, its underlying mechanism remains incompletely understood. This investigation aims to delineate Anlotinib's anticancer effectiveness and potential mechanistic underpinnings in patients suffering from advanced, refractory SS. MATERIALS AND METHODS: Employing microarray assay, we examined the potential downstream targets of Anlotinib in SS therapy. A shRNA-based high-content screening was performed to identify candidate genes with the greatest influence on SW982 cell proliferation. The knockdown efficacy of selected genes within SW982 cells was confirmed using RT-qPCR as well as western blot analysis. To assess the effect of putative downstream elimination of genes with synovial sarcoma cells, cell proliferation, and apoptotic assays were carried out. Gene chip microarray as well as bioinformatics techniques were utilized to scrutinize potential signaling networks associated with the candidate downstream gene. RESULTS: QPCR verified high expression of FAM83D in SW982 cells, shRNA was designed to silence FAM83D by lentivirus transfection, apoptosis assay, and cell cycle arrest showing that FAM83D downregulation augments apoptosis in SW982 cells and arrests cell cycle progression in the S stage. Inhibition of FAM83D expression upregulated STAT1 while downregulated BIRC5, MCM2, and CDK1 genes in vitro. CONCLUSIONS: This experimental study identified FAM83D as a critical regulator that contributes to the proliferation and progression of SS, suggesting that FAM83D-regulated signaling pathway may serve as a prospective target in SS management.

ADORA3: A Key Player in the Pathogenesis of Intracranial Aneurysms and a Potential Diagnostic Biomarker.

BACKGROUND: The effects of genes on the development of intracranial aneurysms (IAs) remain to be elucidated, and reliable blood biomarkers for diagnosing IAs are yet to be established. This study aimed to identify genes associated with IAs pathogenesis and explore their diagnostic value by analyzing IAs datasets, conducting vascular smooth muscle cells (VSMC) experiments, and performing blood detection. METHODS: IAs datasets were collected and the differentially expressed genes were analyzed. The selected genes were validated in external datasets. Autophagy was induced in VSMC and the effect of selected genes was determined. The diagnostic value of selected gene on the IAs were explored using area under curve (AUC) analysis using IAs plasma samples. RESULTS: Analysis of 61 samples (32 controls and 29 IAs tissues) revealed a significant increase in expression of ADORA3 compared with normal tissues using empirical Bayes methods of "limma" package; this was further validated by two external datasets. Additionally, induction of autophagy in VSMC lead to upregulation of ADORA3. Conversely, silencing ADORA3 suppressed VSMC proliferation and autophagy. Furthermore, analysis of an IAs blood sample dataset and clinical plasma samples demonstrated increased ADORA3 expression in patients with IA compared with normal subjects. The diagnostic value of blood ADORA3 expression in IAs was moderate when analyzing clinical samples (AUC: 0.756). Combining ADORA3 with IL2RB or CCR7 further enhanced the diagnostic ability for IAs, with the AUC value over 0.83. CONCLUSIONS: High expression of ADORA3 is associated with IAs pathogenesis, likely through its promotion of VSMC autophagy. Furthermore, blood ADORA3 levels have the potential to serve as an auxiliary diagnostic biomarker for IAs.

PFKP deubiquitination and stabilization by USP5 activate aerobic glycolysis to promote triple-negative breast cancer progression.

BACKGROUND: Triple-negative breast cancer (TNBC) remains the most challenging subtype of breast cancer and lacks definite treatment targets. Aerobic glycolysis is a hallmark of metabolic reprogramming that contributes to cancer progression. PFKP is a rate-limiting enzyme involved in aerobic glycolysis, which is overexpressed in various types of cancers. However, the underlying mechanisms and roles of the posttranslational modification of PFKP in TNBC remain unknown. METHODS: To explore whether PFKP protein has a potential role in the progression of TNBC, protein levels of PFKP in TNBC and normal breast tissues were examined by CPTAC database analysis, immunohistochemistry staining (IHC), and western blotting assay. Further CCK-8 assay, colony formation assay, EDU incorporation assay, and tumor xenograft experiments were used to detect the effect of PFKP on TNBC progression. To clarify the role of the USP5-PFKP pathway in TNBC progression, ubiquitin assay, co-immunoprecipitation (Co-IP), mass spectrometry-based protein identification, western blotting assay, immunofluorescence microscopy, in vitro binding assay, and glycolysis assay were conducted. RESULTS: Herein, we showed that PFKP protein was highly expressed in TNBC, which was associated with TNBC progression and poor prognosis of patients. In addition, we demonstrated that PFKP depletion significantly inhibited the TNBC progression in vitro and in vivo. Importantly, we identified that PFKP was a bona fide target of deubiquitinase USP5, and the USP5-mediated deubiquitination and stabilization of PFKP were essential for cancer cell aerobic glycolysis and TNBC progression. Moreover, we found a strong positive correlation between the expression of USP5 and PFKP in TNBC samples. Notably, the high expression of USP5 and PFKP was significantly correlated with poor clinical outcomes. CONCLUSIONS: Our study established the USP5-PFKP axis as an important regulatory mechanism of TNBC progression and provided a rationale for future therapeutic interventions in the treatment of TNBC.

Exploring the Cocktail Factor Approach to Generate Salivary Gland Progenitors through Co-Culture Techniques

BACKGROUND@#The derivation of salivary gland (SG) progenitors from pluripotent stem cells (PSCs) presents significant potential for developmental biology and regenerative medicine. However, the existing protocols for inducing SG include limited factors, making it challenging to mimic the in vivo microenvironment of embryonic SGs. @*METHODS@#We reported a cocktail factor approach to promote the differentiation of mouse embryonic stem cell (mESC)-derived oral epithelium (OE) into SG progenitors through a three-dimensional co-culture method. Upon confirming that the embryonic SG can promote the differentiation of mESC-derived OE, we performed RNA sequence analysis to identify factors involved in the differentiation of SG progenitors. @*RESULTS@#Our findings highlight several efficient pathways related to SG development, with frequent appearances of four factors: IFN-c, TGF-b2, EGF, and IGF-1. The combined treatment using these cocktail factors increased the expression of key SG progenitor markers, including Sox9, Sox10, Krt5, and Krt14. However, absence of any one of these cocktail factors did not facilitate differentiation. Notably, aggregates treated with the cocktail factor formed SG epitheliallike structures and pre-bud-like structures on the surface. @*CONCLUSION@#In conclusion, this study offers a novel approach to developing a differentiation protocol that closely mimics the in vivo microenvironment of embryonic SGs. This provides a foundation for generating PSC-derived organoids with near-physiological cell behaviors and structures.

Dual-mediated Brain Targeting Liposomes Enhance Blood Barrier Permeability of Loaded Doxorubicin / 医学研究杂志

Objective To study the effect of dual-mediated brain targeting liposomes(RVGPR9-SSL)as delivery vehicles on the blood brain barrier(BBB)permeability of doxorubicin(DOX),providing a new strategy for brain drug delivery.Methods The dual-mediated brain targeting liposomes(RVGPR9-SSL)were prepared by thin film dispersion/leading compound method.And the chemo-therapeutic drug DOX was encapsulated in RVGPR9-SSL(DOX@RVGPR9-SSL).Brain microvascular endothelial cells(BMVEC)were cultured and used to construct in vitro BBB models.The BBB model was then evaluated by a 4h leakage test,transmembrane resist-ance value(TEER)measurement,and tight junctions between cells observed by scanning transmission electron microscope(SEM).After the successful construction of the BBB model,the integrity of RVGPR9-SSL after crossing the BBB was investigated by confocal laser scanning microscopy using fluorescence a resonance energy transfer(FRET)pair.The effect of RVGPR9-SSL administration on BBB in-tegrity was evaluated by comparative analysis of BBB morphology and TEER values before and after liposome administration.The BBB per-meability of DOX@RVGPR9-SSL was investigated by fluorescence spectrophotometry.Results The encapsulation efficiency of DOX@RVGPR9-SSL was 97.25％.The TEER values of the constructed BBB model were all greater than 200Ω·cm2,and it was observed by SEM that the BMVEC cells were closely arranged and there were obvious tight junctions,indicating that the in vitro BBB model was suc-cessfully established and could be used for the investigation of BBB permeability.The 4h BBB cumulative permeability of DOX@RVGPR9-SSL was greater than 10％,which was significantly higher than that of free DOX.And both BBB and liposomes maintained good integrity after administration.Conclusion RVGPR9-SSL can significantly improve the BBB permeability of DOX,indicating that it is a very promising brain drug delivery vehicle.

AFF4 globally affects the release of paused RNA polymerase II in HEL cells.

P-TEFb, a heterodimer of the kinase CDK9 and Cyclin T1, is a critical regulator of promoter-proximal pause release of Pol II in metazoans. It is capable of forming three larger complexes, including the super elongation complex (SEC), the BRD4/P-TEFb complex and the 7SK snRNP. In the SEC or the BRD4/P-TEFb complex, P-TEFb is enzymatically active, while in the 7SK snRNP, its activity is inhibited. The SEC consists of AFF1 or 4, ENL or AF9, ELL1, 2 or 3 and EAF1 or 2 in addition to P-TEFb, the only subunit with catalytic activity, and the noncatalytic subunits have been found to be able to regulate pause release through P-TEFb. We and others recently found that AFF1, ENL and AF9 are capable of regulating transcriptional initiation, but it is unknown yet whether AFF4 is also capable of doing so. With respect to the gene regulation selectivity of the SEC and the BRD4/P-TEFb complex, one recent study showed that in human DLD-1 cells, the SEC only regulates pause release of heat shock (HS) genes, whereas the BRD4/P-TEFb complex regulates pause release of the rest of the genes. However, it is unclear whether those mechanisms are general. In this study for the purpose of further understanding the role of AFF4 in transcriptional regulation, we found that AFF4 knockdown by RNA interference in human HEL cells decreased not only cellular level but also global chromatin occupancy of CTD serine 2 phosphorylated Pol II. Direct target genes of AFF4 were identified by RNA-seq and CUT&Tag. Notably, we found by ChIP-seq and PRO-seq that AFF4 loss also increased promoter-proximal pause of Pol II on several hundred HS and thousands of non-HS genes. Mechanistically, AFF4 promotes pause release likely by facilitating the binding of P-TEFb to Pol II. These results suggest that extent of the impact of AFF4 on pause release is likely to be context-dependent or cell-type dependent.

Altered GC- and AT-biased genotypes of Ophiocordyceps sinensis in the stromal fertile portions and ascospores of natural Cordyceps sinensis.

OBJECTIVE: To examine multiple genotypes of Ophiocordyceps sinensis in a semi-quantitative manner in the stromal fertile portion (SFP) densely covered with numerous ascocarps and ascospores of natural Cordyceps sinensis and to outline the dynamic alterations of the coexisting O. sinensis genotypes in different developmental phases. METHODS: Mature Cordyceps sinensis specimens were harvested and continuously cultivated in our laboratory (altitude 2,254 m). The SFPs (with ascocarps) and fully and semi-ejected ascospores were collected for histological and molecular examinations. Biochip-based single nucleotide polymorphism (SNP) MALDI-TOF mass spectrometry (MS) was used to genotype multiple O. sinensis mutants in the SFPs and ascospores. RESULTS: Microscopic analysis revealed distinct morphologies of the SFPs (with ascocarps) before and after ascospore ejection and SFP of developmental failure, which, along with the fully and semi-ejected ascospores, were subjected to SNP MS genotyping analysis. Mass spectra showed the coexistence of GC- and AT-biased genotypes of O. sinensis that were genetically and phylogenetically distinct in the SFPs before and after ejection and of developmental failure and in fully and semi-ejected ascospores. The intensity ratios of MS peaks were dynamically altered in the SFPs and the fully and semi-ejected ascospores. Mass spectra also showed transversion mutation alleles of unknown upstream and downstream sequences with altered intensities in the SFPs and ascospores. Genotype #5 of AT-biased Cluster-A maintained a high intensity in all SFPs and ascospores. An MS peak with a high intensity containing AT-biased Genotypes #6 and #15 in pre-ejection SFPs was significantly attenuated after ascospore ejection. The abundance of Genotypes #5‒6 and #16 of AT-biased Cluster-A was differentially altered in the fully and semi-ejected ascospores that were collected from the same Cordyceps sinensis specimens. CONCLUSION: Multiple O. sinensis genotypes coexisted in different combinations with altered abundances in the SFPs prior to and after ejection, the SFP of developmental failure, and the two types of ascospores of Cordyceps sinensis, demonstrating their genomic independence. Metagenomic fungal members present in different combinations and with dynamic alterations play symbiotic roles in different compartments of natural Cordyceps sinensis.

Differential coexistence of multiple genotypes of Ophiocordyceps sinensis in the stromata, ascocarps and ascospores of natural Cordyceps sinensis.

OBJECTIVE: To examine the differential occurrence of Ophiocordyceps sinensis genotypes in the stroma, stromal fertile portion (SFP) densely covered with numerous ascocarps, and ascospores of natural Cordyceps sinensis. METHODS: Immature and mature C. sinensis specimens were harvested. Mature C. sinensis specimens were continuously cultivated in our laboratory (altitude 2,200 m). The SFPs (with ascocarps) and ascospores of C. sinensis were collected for microscopic and molecular analyses using species-/genotype-specific primers. Sequences of mutant genotypes of O. sinensis were aligned with that of Genotype #1 Hirsutella sinensis and compared phylogenetically using a Bayesian majority-rule method. RESULTS: Fully and semiejected ascospores were collected from the same specimens. The semiejected ascospores tightly adhered to the surface of the asci as observed by the naked eye and under optical and confocal microscopies. The multicellular heterokaryotic ascospores showed uneven staining of nuclei. The immature and mature stromata, SFPs (with ascocarps) and ascospores were found to differentially contain several GC- and AT-biased genotypes of O. sinensis, Samsoniella hepiali, and an AB067719-type fungus. The genotypes within AT-biased Cluster-A in the Bayesian tree occurred in all compartments of C. sinensis, but those within AT-biased Cluster-B were present in immature and mature stromata and SPFs but absent in the ascospores. Genotype #13 of O. sinensis was present in semi-ejected ascospores and Genotype #14 in fully ejected ascospores. GC-biased Genotypes #13-14 featured large DNA segment substitutions and genetic material recombination between the genomes of the parental fungi (H. sinensis and the AB067719-type fungus). These ascosporic offspring genotypes combined with varying abundances of S. hepiali in the 2 types of ascospores participated in the control of the development, maturation and ejection of the ascospores. CONCLUSION: Multiple genotypes of O. sinensis coexist differentially in the stromata, SFPs and 2 types of C. sinensis ascospores, along with S. hepiali and the AB067719-type fungus. The fungal components in different combinations and their dynamic alterations in the compartments of C. sinensis during maturation play symbiotic roles in the lifecycle of natural C. sinensis.

Degradation of Aflatoxin B1 in Peanut Oil by Ultraviolet-LED Cold-Light Irradiation and Structure Elucidation of the Degradation Products.

This study aimed to determine the efficiency of ultraviolet (UV)-LED cold light treatment on the degradation of aflatoxin (AF)B1 in peanut oils. The peanut oil samples obtained from different places in China and abroad were determined for AFB1 degradation efficiency of the UV-LED cold-light irradiation method. The degradation products were analyzed by ultra-high performance liquid chromatography coupled to quadrupole orbitrap high-resolution mass spectrometry (UPLC-Q-Exactive MS). The results indicated that the AFB1 content in all peanut oil samples decreased rapidly after 5 min of irradiation. Four main photodegradation products (C18H16O7, C17H14O7, C17H14O7, and C17H14O8) were identified using the established LC-MS method. Their chemical structures were postulated based on the LC-MS data. Also, the degradation pathways were proposed based on the data obtained. Oxidation and reduction reactions were mainly responsible for AFB1-decomposition. The reactions occurred at the furan and lactone rings. These findings demonstrated that UV-LED cold-light irradiation was an effective method for treating AFB1- contaminated peanut oil.

A nomogram based on combining clinical features and contrast enhanced ultrasound is not able to identify Her-2 over-expressing cancer from other breast cancers.

Objective: The aim of this study was to evaluate whether a predictive model based on a contrast enhanced ultrasound (CEUS)-based nomogram and clinical features (Clin) could differentiate Her-2-overexpressing breast cancers from other breast cancers. Methods: A total of 152 pathology-proven breast cancers including 55 Her-2-overexpressing cancers and 97 other cancers from two units that underwent preoperative CEUS examination, were included and divided into training (n = 102) and validation cohorts (n = 50). Multivariate regression analysis was utilized to identify independent indicators for developing predictive nomogram models. The area under the receiver operating characteristic (AUC) curve was also calculated to establish the diagnostic performance of different predictive models. The corresponding sensitivities and specificities of different models at the cutoff nomogram value were compared. Results: In the training cohort, 7 clinical features (menstruation, larger tumor size, higher CA153 level, BMI, diastolic pressure, heart rate and outer upper quarter (OUQ)) + enlargement in CEUS with P < 0.2 according to the univariate analysis were submitted to the multivariate analysis. By incorporating clinical information and enlargement on the CEUS pattern, independently significant indicators for Her-2-overexpression were used for further predictive modeling as follows: Model I, nomogram model based on clinical features (Clin); Model II, nomogram model combining enlargement (Clin + Enlargement); Model III, nomogram model based on typical clinical features combining enlargement (MC + BMI + diastolic pressure (DP) + outer upper quarter (OUQ) + Enlargement). Model II achieved an AUC value of 0.776 at nomogram cutoff score value of 190, which was higher than that of the other models in the training cohort without significant differences (all P>0.05). In the test cohort, the diagnostic efficiency of predictive model was poor (all AUC<0.6). In addition, the sensitivity and specificity were not significantly different between Models I and II (all P>0.05), in either the training or the test cohort. In addition, Clin exhibited an AUC similar to that of model III (P=0.12). Moreover, model III exhibited a higher sensitivity (70.0%) than the other models with similar AUC and specificity, only in the test cohort. Conclusion: The main finding of the study was that the predictive model based on a CEUS-based nomogram and clinical features could not differentiate Her-2-overexpressing breast cancers from other breast cancers.

MALT1 promotes necroptosis in stroke rat brain via targeting the A20/RIPK3 pathway.

Necroptosis has been demonstrated to contribute to brain injury in ischemic stroke, whereas A20 can exert anti-necroptosis effect via deubiquitinating receptor-interacting protein kinase (RIPK3) at k63 and it can be cleaved by MALT1. This study aims to explore whether MALT1 is upregulated in the brain during ischemic stroke and promotes brain cell necroptosis through enhancing the degradation of A20. Ischemic stroke model was established in Sprague Dawley rats by occlusion of the middle cerebral artery (MCA) for 2 h, followed by 24 h reperfusion, which showed brain injury (increase in neurological deficit score and infarct volume) concomitant with an upregulation of MALT1, a decrease in A20 level, and increases in necroptosis-associated protein levels [RIPK3, mixed lineage kinase domain-like protein (MLKL) and p-MLKL] and k63-ubiquitination of RIPK3 in brain tissues. Administration of MALT1 inhibitor (Ml-2) at 8 or 15 mg/kg (i.p.) at 1 h after ischemia significantly improved neurological function and reduced infarct volume together with a downregulation of MALT1, an increase in A20 level and decreases in necroptosis-associated protein levels and k63-ubiquitination of RIPK3. Similarly, knockdown of MALT1 could also reduce oxygen-glucose deprivation/reoxygenation (OGD/R)-induced injury in the cultured HT22 cells coincident with an increase in A20 level and decreases in necroptosis-associated protein levels and k63-ubiquitination of RIPK3. Based on these observations, we conclude that MALT1 promotes necroptosis in stroke rat brain via enhancing the degradation of A20, which leads to a decrease in the capability of A20 to deubiquitinate RIPK3 at k63 and a subsequent compromise in counteraction against the brain cell necroptosis.

Caspofungin Suppresses Brain Cell Necroptosis in Ischemic Stroke Rats via Up-Regulation of Pellino3.

PURPOSE: Pellino3, an ubiquitin E3 ligase, prevents the formation of the death-induced signaling complex in response to TNF-α by targeting receptor-interacting protein kinase 1 (RIPK1), and bioinformatics analysis predicted an interaction between Pellino3 and caspofungin, a common antifungal drug used in clinics. This study aimed to explore the effect of caspofungin on brain injury in ischemic stroke and the underlying mechanisms. METHODS: Ischemic stroke injury was induced in Sprague Dawley rats by occlusion of the middle cerebral artery (MCA) for 2 h, followed by 24 h reperfusion. PC12 cells were deprived of both oxygen and glucose for 8 h and then were cultured for 24 h with oxygen and glucose to mimic an ischemic stroke in vitro. RESULTS: Animal experiments showed brain injury (increase in neurological deficit score and infarct volume) concomitant with a downregulation of Pellino3, a decreased ubiquitination of RIPK1, and an up-regulation of necroptosis-associated proteins [RIPK1, RIPK3, mixed lineage kinase domain-like protein (MLKL), p-RIPK1, p-RIPK3, and p-MLKL]. Administration of caspofungin (6 mg/kg, i.m.) at 1 h and 6 h after ischemia significantly improved neurological function, reduced infarct volume, up-regulated Pellino3 levels, increased RIPK1 ubiquitination, and down-regulated protein levels of RIPK1, p-RIPK1, p-RIPK3, and p-MLKL. PC12 cells deprived of oxygen/glucose developed signs of cellular injury (LDH release and necroptosis) concomitant with downregulation of Pellino3, decreased ubiquitination of RIPK1, and elevated necroptosis-associated proteins. These changes were reversed by overexpression of Pellino3. CONCLUSION: We conclude that Pellino3 has an important role in counteracting necroptosis via ubiquitination of RIPK1 and caspofungin can suppress the brain cell necroptosis in ischemic stroke through upregulation of Pellino3.

Anti-inflammatory effect of miR-125a-5p on experimental optic neuritis by promoting the differentiation of Treg cells.

Methylprednisolone pulse treatment is currently used for optic neuritis. It can speed visual recovery, but does not improve the ultimate visual outcomes. Recent studies have reported that miR-125a-5p has immunomodulatory effects on autoimmune diseases. However, it remains unclear whether miR-125a-5p has effects on optic neuritis. In this study, we used adeno-associated virus to overexpress or silence miR-125a-5p in mice. We found that silencing miR-125a-5p increased the latency of visual evoked potential and aggravated inflammation of the optic nerve. Overexpression of miR-125a-5p suppressed inflammation of the optic nerve, protected retinal ganglion cells, and increased the percentage of Treg cells. Our findings show that miR-125a-5p exhibits anti-inflammatory effects through promoting the differentiation of Treg cells.

Improved antitumor immunity of chemotherapy in OSCC treatment by Gasdermin-E mediated pyroptosis.

Oral squamous cell carcinoma (OSCC) is a malignant tumor with high mortality and poor prognosis. Many OSCC patients have low response rate to current treatments including immunotherapies largely due to the immune-suppressive tumor microenvironment (TME). Chemotherapy could induce immunogenic cell death (ICD), a type of cell death such as pyroptosis and necroptosis, which has proved to be capable to alter the immune-suppressive TME and beneficial for better anti-tumor effect. GSDME, a key protein of pyroptosis, is however often silenced in tumors due to abnormal methylation. To overcome these limitations, we utilizied methyltransferase inhibitor (decitabine, DAC) to trigger pyroptosis of tumor cells, combined with chemodrug cisplatin (DDP) and immune checkpoints inhibitors to amplify the immunotherapies outcomes. To the best of our knowledge, this is the first study of tumor suppressive effect of GSDME in OSCC. Our investigation demonstrated that stimulation of GSDME expression could improve the sensitivity of chemotherapeutics, activate inflammatory tumor cell pyroptosis and alter the tumor immune-suppressive microenvironment, providing an important perspective for clinical OSCC treatment.

Healthy outcomes of patients with COVID-19 two years after the infection: a prospective cohort study.

The long-term effect of coronavirus disease 2019 (COVID-19) has been rarely known. This study aimed to investigate healthy outcomes of COVID-19 survivors up to 2 years after the infection. A total of 155 COVID-19 patients, who were discharged from Shenzhen Third People's Hospital from February 2020 to April 2020, were enrolled and followed up until March 4, 2022. COVID-19 survivors received questionnaires of long COVID symptoms and psychological symptoms, pulmonary function tests, chest computed tomography (CT) scans and routine laboratory tests. Two years after infection, 36.6% of patients had at least one symptom of long COVID. Vision impairment and fatigue were the most common symptom. 35.0% of participants still had at least one psychological symptom of anxiety, depression, post-traumatic stress symptoms, and sleep difficulties. Radiographic abnormalities were presented in 50.7% of patients, with the most common features of fibrosis-like lesions and residual ground-glass opacity. Diffuse dysfunction (24.0%) was the main abnormalities of pulmonary function tests. Most laboratory parameters returned to normal range, while persistent abnormalities in kidney and liver function test were observed in a subset of participants after discharge. Two years after COVID-19 infection, persistent symptoms of long COVID and psychological symptoms, as well as abnormalities in pulmonary function tests and CT, were still common in a subset of recovering individuals. These findings were limited by the lack of a healthy control group and pre-COVID assessments, which should be confirmed by further large-scale studies.

Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: From static images to CEUS video analysis.

Background: Continuous contrast-enhanced ultrasound (CEUS) video is a challenging direction for radiomics research. We aimed to evaluate machine learning (ML) approaches with radiomics combined with the XGBoost model and a convolutional neural network (CNN) for discriminating between benign and malignant lesions in CEUS videos with a duration of more than 1 min. Methods: We gathered breast CEUS videos of 109 benign and 81 malignant tumors from two centers. Radiomics combined with the XGBoost model and a CNN was used to classify the breast lesions on the CEUS videos. The lesions were manually segmented by one radiologist. Radiomics combined with the XGBoost model was conducted with a variety of data sampling methods. The CNN used pretrained 3D residual network (ResNet) models with 18, 34, 50, and 101 layers. The machine interpretations were compared with prospective interpretations by two radiologists. Breast biopsies or pathological examinations were used as the reference standard. Areas under the receiver operating curves (AUCs) were used to compare the diagnostic performance of the models. Results: The CNN model achieved the best AUC of 0.84 on the test cohort with the 3D-ResNet-50 model. The radiomics model obtained AUCs between 0.65 and 0.75. Radiologists 1 and 2 had AUCs of 0.75 and 0.70, respectively. Conclusions: The 3D-ResNet-50 model was superior to the radiomics combined with the XGBoost model in classifying enhanced lesions as benign or malignant on CEUS videos. The CNN model was superior to the radiologists, and the radiomics model performance was close to the performance of the radiologists.