Sirt6 ablation in the liver causes fatty liver that increases cancer risky by upregulating Serpina12.

Non-alcoholic fatty liver disease is a chronic liver abnormality that exhibits high variability and can lead to liver cancer in advanced stages. Hepatic ablation of SIRT6 results in fatty liver disease, yet the potential mechanism of SIRT6 deficiency, particularly in relation to downstream mediators for NAFLD, remains elusive. Here we identify Serpina12 as a key gene regulated by Sirt6 that plays a crucial function in energy homeostasis. Specifically, Sirt6 suppresses Serpina12 expression through histone deacetylation at its promoter region, after which the transcription factor, Cebpα, binds to and regulates its expression. Sirt6 deficiency results in an increased expression of Serpina12 in hepatocytes, which enhances insulin signaling and promotes lipid accumulation. Importantly, CRISPR-Cas9 mediated Serpina12 knockout in the liver ameliorated fatty liver disease caused by Sirt6 ablation. Finally, we demonstrate that Sirt6 functions as a tumor suppressor in the liver, and consequently, deletion of Sirt6 in the liver leads to not only the spontaneous development of tumors but also enhanced tumorigenesis in response to DEN treatment or under conditions of obesity.

53BP1 inhibits homologous recombination in Brca1-deficient cells by blocking resection of DNA breaks.

Defective DNA repair by homologous recombination (HR) is thought to be a major contributor to tumorigenesis in individuals carrying Brca1 mutations. Here, we show that DNA breaks in Brca1-deficient cells are aberrantly joined into complex chromosome rearrangements by a process dependent on the nonhomologous end-joining (NHEJ) factors 53BP1 and DNA ligase 4. Loss of 53BP1 alleviates hypersensitivity of Brca1 mutant cells to PARP inhibition and restores error-free repair by HR. Mechanistically, 53BP1 deletion promotes ATM-dependent processing of broken DNA ends to produce recombinogenic single-stranded DNA competent for HR. In contrast, Lig4 deficiency does not rescue the HR defect in Brca1 mutant cells but prevents the joining of chromatid breaks into chromosome rearrangements. Our results illustrate that HR and NHEJ compete to process DNA breaks that arise during DNA replication and that shifting the balance between these pathways can be exploited to selectively protect or kill cells harboring Brca1 mutations.

G-Quadruplex mRNAs Silencing with Inducible Ribonuclease Targeting Chimera for Precision Tumor Therapy.

Ribonuclease targeting chimera (RIBOTAC) represents an emerging strategy for targeted therapy. However, RIBOTAC that is selectively activated by bio-orthogonal or cell-specific triggers has not been explored. We developed a strategy of inducible RIBOTAC (iRIBOTAC) that enables on-demand degradation of G-quadruplex (G4) RNAs for precision cancer therapy. iRIBOTAC is designed by coupling an RNA G4 binder with a caged ribonuclease recruiter, which can be decaged by a bio-orthogonal reaction, tumor-specific enzyme, or metabolite. A bivalent G4 binder is engineered by conjugating a near-infrared (NIR) fluorescence G4 ligand to a noncompetitive G4 ligand, conferring fluorescence activation on binding G4s with synergistically enhanced affinity. iRIBOTAC is demonstrated to greatly knockdown G4 RNAs upon activation under bio-orthogonal or cell-specific stimulus, with dysregulation of gene expressions involving cell killing, channel regulator activity, and metabolism as revealed by RNA sequencing. This strategy also shows a crucial effect on cell fate with remarkable biochemical hallmarks of apoptosis. Mice model studies demonstrate that iRIBOTAC allows selective imaging and growth suppression of tumors with bio-orthogonal and tumor-specific controls, highlighting G4 RNA targeting and inducible silencing as a valuable RIBOTAC paradigm for cancer therapy.

A qualitative study on experiences of stigma among postoperative oral cancer patients.

AIM: This study aimed to explore the characteristics of stigma in postoperative oral cancer patients to provide a reference for the formulation of targeted intervention measures. METHODS: A qualitative study was conducted on 25 postoperative oral cancer patients in a tertiary A hospital in Hunan, China, from March to July 2021. Semi-structured face-to-face interviews focused on experiences of stigma were performed. The interview data was analyzed using the NVivo V.12 software based on the reflexive intuitive thematic analysis method. The paper complies with the COREQ. RESULTS: The stigma experience of postoperative oral cancer patients can be divided into 3 themes: (1) triggers (impaired appearance and oral function and psycho-social pressure); (2) forms (overall isolation, unpleasant feeling of inferiority, and unpleasant social discrimination); (3) coping strategies (positive psychological adjustment, seeking social support and coming out of the unpleasant shadows). CONCLUSION: Postoperative oral cancer patients clearly articulated that stigma was present in their lives and they experienced multiple forms of stigma. Further work is needed to increase education and awareness about oral cancer to guide them to take positive coping and reduce stigma.

Site-Specific Bioorthogonal Activation of DNAzymes for On-Demand Gene Therapy.

RNA-cleaving DNAzymes hold great promise as gene silencers, and spatiotemporal control of their activity through site-specific reactions is crucial but challenging for on-demand therapy. We herein report a novel design of a bioorthogonally inducible DNAzyme that is deactivated by site-specific installation of bioorthogonal caging groups on the designated backbone sites but restores the activity via a phosphine-triggered Staudinger reduction. We perform a systematical screening for installing the caging groups on each backbone site in the catalytic core of 10-23 DNAzyme and identify an inducible DNAzyme with very low leakage activity. This design is demonstrated to achieve bioorthogonally controlled cleavage of exogenous and endogenous mRNA in live cells. It is further extended to photoactivation and endogenous stimuli activation for spatiotemporal or targeted control of gene silencing. The bioorthogonally inducible DNAzyme is applied to a triple-negative breast cancer mouse model using a lipid nanoparticle delivery system, demonstrating high efficiency in knockdown of Lcn2 oncogenes and substantial suppression of tumor growth, thus highlighting the potential of precisely controlling the DNAzyme functions for on-demand gene therapy.

Simultaneous Imaging and Visualizing the Association of Survivin mRNA and Telomerase in Living Cells by Using a Dual-Color Encoded DNA Nanomachine.

Simultaneous imaging and especially visualizing the association of survivin mRNA and telomerase in living cells are of great value for the diagnosis and prognosis of cancer because their co-expression facilitates the development of cancer and identifies patients at high risk of tumor-related death. The challenge is to develop methods that enable visualizing the association of multiplex targets and avoid the distorted signals due to the different delivery efficiency of probes. Herein, we engineered a DNA triangular prism nanomachine (DTPN) for simultaneous multicolor imaging of survivin mRNA and telomerase and visualizing their association in living cells. Two recognizing probes targeted survivin mRNA and telomerase, and the reporter probe was assembled on the DTP in equal amounts, ensuring the same delivery efficiency of the probes to the living cells. The results showed that this DTPN could quantify intracellular survivin mRNA expression and telomerase activity. Moreover, it also enabled us to visualize the effect of the down-regulation of one target on the expression of another target under different drug stimulations. The results implied that our DTPN provided a promising platform for cancer diagnosis, prognosis, drug screening, and related biological research.

Machine learning model for anti-cancer drug combinations: Analysis, prediction, and validation.

Drug combination therapy is a highly effective approach for enhancing the therapeutic efficacy of anti-cancer drugs and overcoming drug resistance. However, the innumerable possible drug combinations make it impractical to screen all synergistic drug pairs. Moreover, biological insights into synergistic drug pairs are still lacking. To address this challenge, we systematically analyzed drug combination datasets curated from multiple databases to identify drug pairs more likely to show synergy. We classified drug pairs based on their MoA and discovered that 110 MoA pairs were significantly enriched in synergy in at least one type of cancer. To improve the accuracy of predicting synergistic effects of drug pairs, we developed a suite of machine learning models that achieve better predictive performance. Unlike most previous methods that were rarely validated by wet-lab experiments, our models were validated using two-dimensional cell lines and three-dimensional tumor slice culture (3D-TSC) models, implying their practical utility. Our prediction and validation results indicated that the combination of the RTK inhibitors Lapatinib and Pazopanib exhibited a strong therapeutic effect in breast cancer by blocking the downstream PI3K/AKT/mTOR signaling pathway. Furthermore, we incorporated molecular features to identify potential biomarkers for synergistic drug pairs, and almost all potential biomarkers found connections between drug targets and corresponding molecular features using protein-protein interaction network. Overall, this study provides valuable insights to complement and guide rational efforts to develop drug combination treatments.

Inverse correlations between serum carotenoids and respiratory morbidity and mortality: the Third National Health and Nutrition Examination Survey.

The objective was to evaluate the association between serum carotenoid levels and respiratory morbidity and mortality in a nationally representative sample of US adults. We assessed the association of serum carotenoid levels with respiratory morbidity and mortality using logistic regression and proportional hazards regression models. Meanwhile, a series of confounders were controlled in regression models and restricted cubic spline, which included age, sex, race, marriage, education, income, drinking, smoking, regular exercise, BMI, daily energy intake, vitamin E, vitamin C, fruit intake, vegetable intake, diabetes, hypertension, asthma, emphysema and chronic bronchitis. Compared with participants in the lowest tertiles, participants in the highest tertiles of serum total carotenoids, ß-cryptoxanthin and lutein/zeaxanthin levels had a significantly lower prevalence of emphysema (ORtotal carotenoids = 0·61, 95% CI: 0·41-0·89, ORß-cryptoxanthin = 0·67, 95% CI: 0·49-0·92), chronic bronchitis (ORß-cryptoxanthin = 0·66, 95% CI: 0·50-0·87) and asthma (Q2: ORlutein/zeaxanthin = 0·78, 95% CI: 0·62-0·97); participants in the highest tertiles of total carotenoids, α-carotene, lutein/zeaxanthin and lycopene had a lower risk of respiratory mortality (hazard ratio (HR)total carotenoids = 0·62, 95% CI: 0·42-0·90, HRα-carotene = 0·54, 95% CI: 0·36-0·82, HRlutein/zeaxanthin = 0·48, 95% CI: 0·33-0·71, HRlycopene = 0·66, 95% CI: 0·45-0·96) than those in the lowest tertiles. Higher serum total carotenoids and ß-cryptoxanthin levels is associated with decreased prevalence of emphysema and chronic bronchitis, and higher serum total carotenoids, α-carotene, lutein/zeaxanthin and lycopene levels had a lower mortality of respiratory disease.

Negative life events and aggression among Chinese rural left-behind adolescents: do self-esteem and resilience mediate the relationship?

BACKGROUND: Left-behind adolescents (LBAs) are adolescents aged 11-18 years who are separated from their parents and left behind in local cities by one or both parents for a period of more than 6 months. LBAs in rural areas are likely to engage in aggressive behavior, which can affect interpersonal relationships, reduce academic performance, and even lead to anxiety and depression. To our knowledge, no studies have examined the mediating effect of resilience and self-esteem on the relationship between negative life events and aggression among Chinese rural LBAs. Therefore, this study aimed to explore the relationship between negative life events and aggression among Chinese rural LBAs and how self-esteem and resilience mediate the association. METHODS: Using a stratified random sampling method, 1344 LBAs in Hunan Province of China were investigated. Information was collected by a self-designed sociodemographic questionnaire, Adolescent Self-Rating Life Events Checklist, Resilience Scale Chinese Adolescent, Rosenberg Self-Esteem Scale and Aggression Scales to assess the psychology of LBAs. Data analysis was conducted using descriptive statistics, Pearson correlation, and regression analysis to estimate direct and indirect effects using bootstrap analysis. RESULTS: Negative life events were significantly related to self-esteem (r = - 0.338), resilience (r = - 0.359), and aggression (r = 0.441). Aggression was directly affected by self-esteem (ß = - 0.44) and resilience (ß = - 0.34). Negative life events were not only directly related to aggression (ß = 0.34, 95% CI: 0.275 ~ 0.398) but also showed an indirect effect on aggression through self-esteem and resilience. The direct effect, total effect and indirect effect of negative life events on aggression through self-esteem and resilience were 0.3364, 0.4344 and 0.0980, respectively. The mediating effect of self-esteem and resilience accounted for 22.56% of the relationship between negative life events and aggression. CONCLUSIONS: We found that self-esteem and resilience mediated most negative life events on aggression. It is imperative for educators and families to improve LBAs' self-esteem and resilience to reduce the occurrence of aggression. Future intervention studies should be designed to strengthen self-esteem and resilience.

Type I Photosensitizer Targeting G-Quadruplex RNA Elicits Augmented Immunity for Cancer Ablation.

Type I photodynamic therapy (PDT) represents a promising treatment modality for tumors with intrinsic hypoxia. However, type I photosensitizers (PSs), especially ones with near infrared (NIR) absorption, are limited and their efficacy needs improvement via new targeting tactics. We develop a NIR type I PS by engineering acridinium derived donor-π-acceptor systems. The PS exhibits an exclusive type I PDT mechanism due to effective intersystem crossing and disfavored energy transfer to O2 , and shows selective binding to G-quadruplexes (G4s) via hydrogen bonds identified by a molecular docking study. Moreover, it enables fluorogenic detection of G4s and efficient O2 ⋅- production in hypoxic conditions, leading to immunogenic cell death and substantial variations of gene expression in RNA sequencing. Our strategy demonstrates augmented antitumor immunity for effective ablation of immunogenic cold tumor, highlighting its potential of RNA-targeted type I PDT in precision cancer therapy.

A DNA Logic Circuit Equipped with a Biological Amplifier Loaded into Biomimetic ZIF-8 Nanoparticles Enables Accurate Identification of Specific Cancers In Vivo.

DNA logic circuits (DLC) enable the accurate identification of specific cell types, such as cancer cells, but they face the challenges of weak output signals and a lack of competent platforms that can efficiently deliver DLC components to the target site in the living body. To address these issues, we rationally introduced a cascaded biological amplifier module based on the Primer Exchange Reaction inspired by electronic circuit amplifier devices. As a paradigm, three abnormally expressed Hela cell microRNAs (-30a, -17, and -21) were chosen as "AND" gate inputs. DLC response to these inputs was boosted by the amplifier markedly enhancing the output signal. More importantly, the encapsulation of DLC and amplifier components into ZIF-8 nanoparticles resulted in their efficient delivery to the target site, successfully distinguishing the Hela tumor subtype from other tumors in vivo. Thus, we envision that this strategy has great potential for clinical cancer diagnosis.

Biomineralized Zeolitic Imidazolate Framework-8 Nanoparticles Enable Polymerase-Driven DNA Biocomputing for Reliable Cell Identification.

Investigating multiple miRNA expression patterns in living cells by DNA logic biocomputing is a valuable strategy for diagnosis and biomedical studies. The introduction of protein enzymes in DNA logic biocomputing circuits not only expands the toolbox of nucleic acid assembly techniques, but also further improves the specificity of recognizing and processing of DNA input. Herein, a polymerase-driven primer exchange reaction, acting as the sensing module, is introduced into the biocomputing system and transduces the multiple miRNAs sensing event into the intermediate triggers for activating the subsequent processing module, which further performs signal readout through DNAzyme catalytic substrate cleavage reaction. By using biomineralized zeolitic imidazolate framework-8 nanoparticles (ZIF-8 NPs) to deliver all the components of the biocomputing system, including polymerase and DNA probes, we realized polymerase-driven DNA biocomputing operations in living cells, including AND and OR gates. The results exhibited that biomineralized ZIF-8 NPs can protect the loaded cargoes against the external environment and deliver them efficiently to the cytoplasm. The polymerase-driven DNA biocomputing system based on multiple miRNAs sensing can be used for reliable cell identification and may provide a promising platform for more accurate diagnosis and programmable therapeutics.

A Reactivity-Tunable Self-Immolative Design Enables Histone Deacetylase-Targeted Imaging and Prodrug Activation.

Histone deacetylase (HDAC)-targeted probes and prodrugs are crucial for cancer theranostics. We developed a self-immolative design that enables in vivo activatable near-infrared fluorescence (NIRF) and photoacoustic (PA) imaging and prodrug release in response to HDAC. This design comprises a phenyl ester linker with tunable reactivity, facilitating efficient release of caged fluorophores/drugs upon deacetylation. We engineered a new fluorophore using a spirocyclic xanthene scaffold with ring-open property, affording NIRF/PA detection with high contrast. We showed that a nitro-substituted self-immolative linker allows sensitive NIRF/PA in vivo imaging of HDAC with minimal interference. A highly efficient prodrug system was further developed for targeted therapy in HDAC-overexpressed triple negative breast tumors in mice. Our study provides a valuable paradigm for HDAC-targeted NIRF/PA imaging and prodrug release in vivo, highlighting its potential for bioimaging and drug development.

Function of DHX33 in promoting Warburg effect via regulation of glycolytic genes.

Cancer cells metabolize glucose through glycolysis to promote cell proliferation even with abundant oxygen. Multiple glycolysis genes are deregulated during cancer development. Despite intensive effort, the cause of their deregulation remains incompletely understood. Here in this study, we discovered that DHX33 plays a critical role in Warburg effect of cancer cells. DHX33 deficient cells have markedly reduced glycolysis activity. Through RNA-seq analysis, we found multiple critical genes involved in Warburg effect were downregulated after DHX33 deficiency. These genes include lactate dehydrogenase A (LDHA), pyruvate dehydrogenase kinase 1 (PDK1), pyruvate kinase muscle isoform 2 (PKM2), enolase 1 (ENO1), ENO2, hexokinase 1/2, among others. With LDHA, PDK1, and PKM2 as examples, we further revealed that DHX33 altered the epigenetic marks around the promoter of glycolytic genes. This is through DHX33 in complex with Gadd45a-a growth arrest and DNA damage protein. DHX33 is required for the loading of Gadd45a and DNA dioxygenase Tet1 at the promoter sites, which resulted in active DNA demethylation and enhanced histone H4 acetylation. We conclude that DHX33 changes local epigenetic marks in favor of the transcription of glycolysis genes to promote cancer cell proliferation. Our study highlights the significance of RNA helicase DHX33 in Warburg effect and cancer therapeutics.

Genetically Encoded Sensor Enables Endogenous RNA Imaging with Conformation-Switching Induced Fluorogenic Proteins.

Genetically encoded molecular tools are crucial for live cell RNA imaging, and few are available for endogenous RNA imaging. We develop a new genetically encoded sensor using conformation switching RNA induced fluorogenic proteins that enable multicolor and signal-amplified imaging of endogenous RNAs. The sensor system is designed with an RNA sensing module and a degron-fused fluorescent protein reporter. Target RNA induces conformation switching of the RNA sensing module to form RNA aptamers that stabilize the degron-fused protein for fluorogenic imaging. This sensor is demonstrated for high-contrast imaging of survivin mRNA abundance and dynamics in live cells. Moreover, the sensor system is extended to a multicolor palette by screening fluorogenic proteins of distinct colors, and engineered into a signal amplifier using the split fluorescent protein design. The sensor is further exploited for imaging lncRNA MALAT-1 and its translocation dynamics during mitosis. Our sensor system can afford a valuable platform for RNA imaging in biomedical research and clinical theranostics.

BRCA1 represses DNA replication initiation through antagonizing estrogen signaling and maintains genome stability in parallel with WEE1-MCM2 signaling during pregnancy.

The mammary gland undergoes fast cell proliferation during early pregnancy, yet the mechanism to ensure genome integrity during this highly proliferative stage is largely unknown. We show that pregnancy triggers replicative stresses leading to genetic instability in mice carrying a mammary specific disruption of breast cancer associated gene-1 (BRCA1). The fast cell proliferation was correlated with enhanced expression of most genes encoding replisomes, which are positively regulated by estrogen/ERα signaling but negatively regulated by BRCA1. Our further analysis revealed two parallel signaling pathways, which are mediated by ATR-CHK1 and WEE1-MCM2 and are responsible for regulating DNA replication checkpoint. Upon DNA damage, BRCA1 deficiency markedly enhances DNA replication initiation and preferably impairs DNA replication checkpoint mediated by ATR and CHK1. Meanwhile, DNA damage also activates WEE1-MCM2 signaling, which inhibits DNA replication initiation and enables BRCA1-deficient cells to avoid further genomic instability. Finally, we demonstrated that overriding this defense by WEE1 inhibition in combination with cisplatin, which causes DNA damage, serves as a promising therapeutic approach for killing BRCA1-deficient cancer cells.

Metal-Organic Framework Nanoparticles Power DNAzyme Logic Circuits for Aberrant MicroRNA Imaging.

At the molecular level, a large number of studies exist on the use of dynamic DNA molecular circuits for disease diagnosis and biomedicine. However, how to design programmable molecular circuit devices to autonomously and accurately diagnose multiple low-abundance biomolecules in complex cellular environments remains a challenge. Here, we constructed DNAzyme logic circuits for the analysis and imaging of multiple microRNAs in living cells using Cu/ZIF-8 NPs as a nanocarrier of the logic gate modules and the Cu2+ cofactor of the Cu2+-dependent DNAzyme. The logic gate modules of the logic operation system were adsorbed on the surface of Cu/ZIF-8 NPs via electrostatic interaction. After internalization, pH-responsive Cu/ZIF-8 NPs could efficiently release the logic gate modules and Cu2+, which allowed us to realize multiple logic computations initiated by endogenous miRNA, including one YES logic gate and two binary logic gates (OR and AND) in different living cells. Cu2+-DNAzyme logic circuits could quickly respond to multiple endogenous miRNAs in the complex cell environment, which also provided a new research method for the application of DNA biocomputing circuits in living cells.

Identification of key genes and biological pathways in lung adenocarcinoma via bioinformatics analysis.

Lung adenocarcinoma (LUAD) accounts for the majority of cancer-related deaths worldwide. Our study identified key LUAD genes and their potential mechanism via bioinformatics analysis of public datasets. GSE10799, GSE40791, and GSE27262 microarray datasets were retrieved from the Gene Expression Omnibus (GEO) database. The RobustRankAggreg package was used to perform a meta-analysis, and 50 upregulated genes and 87 downregulated genes overlapped in three datasets. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Furthermore, protein-protein interaction (PPI) networks of the differentially expressed genes (DEGs) were built by the Search Tool for the Retrieval of Interacting Genes (STRING) and 22 core genes were identified by Molecular Complex Detection (MCODE) and visualized with Cytoscape. Subsequently, these core genes were analyzed by the Kaplan-Meier Plotter and Gene Expression Profiling Interactive Analysis (GEPIA). The results showed that all 22 genes were significantly associated with reduced survival rates. For GEPIA, the expression of only one gene was not significantly different between LUAD tissues and normal tissues. A KEGG pathway enrichment reanalysis of the 21 genes identified five key genes (CCNB1, BUB1B, CDC20, TTK, and MAD2L1) in the cell cycle pathway. Finally, the Comparative Toxicogenomics Database (CTD) website was used to explore the relationship between these key genes and certain drugs. Based on the bioinformatics analysis, five key genes were identified in LUAD, and drugs closely associated these genes can provide clues for the treatment and prognosis of LUAD.

SRC-3, a Steroid Receptor Coactivator: Implication in Cancer.

Steroid receptor coactivator-3 (SRC-3), also known as amplified in breast cancer 1 (AIB1), is a member of the SRC family. SRC-3 regulates not only the transcriptional activity of nuclear receptors but also many other transcription factors. Besides the essential role of SRC-3 in physiological functions, it also acts as an oncogene to promote multiple aspects of cancer. This review updates the important progress of SRC-3 in carcinogenesis and summarizes its mode of action, which provides clues for cancer therapy.

[Analysis of peptides and proteins from Asini Corii Colla using nano LC-Q-Exactive-MS/MS].

This paper aims to systematically analyze the peptides and proteins from Asini Corii Colla(ACC) through shotgun proteomics. After high-pH reversed-phase fractionation, the proteins and peptides in the hydrolysate of ACC were further separated by nano LC-Q-Exactive-MS/MS under the following conditions: Thermo Scientific EASY column(100 µm×2 cm, 5 µm, C_(18)) as precolumn, Thermo Scientific EASY column(75 µm×100 mm, 3 µm, C_(18)) for solid phase extraction, gradient elution with 0.1% formic acid in water(mobile phase A) and 84% acetonitrile in water containing 0.1% formic acid(mobile phase B), and MS in positive ion mode. Based on Uniprot_Equus caballus, MS data, and literature, 2 291 peptides were identified from ACC by MaxQuant, with 255 Maillard reactions(AML, CML, CEL)-modified peptides identified for the first time. Through alignment, the peptides were found to belong to 678 equine proteins. In conclusion, the combination of nano LC-Q-Exactive-MS/MS and shotgun proteomics achieved rapid and accurate identification of the proteins and peptides in ACC, which provides the key information and new insights for further investigation of chemicals and effective substances in ACC.