N-acetyltransferase NAT10 controls cell fates via connecting mRNA cytidine acetylation to chromatin signaling.

Cell fate transition involves dynamic changes of gene regulatory network and chromatin landscape, requiring multiple levels of regulation, yet the cross-talk between epitranscriptomic modification and chromatin signaling remains largely unknown. Here, we uncover that suppression of N-acetyltransferase 10 (NAT10), the writer for mRNA N4-acetylcytidine (ac4C) modification, can notably affect human embryonic stem cell (hESC) lineage differentiation and pluripotent reprogramming. With integrative analysis, we identify that NAT10-mediated ac4C modification regulates the protein levels of a subset of its targets, which are strongly enriched for fate-instructive chromatin regulators, and among them, histone chaperone ANP32B is experimentally verified and functionally relevant. Furthermore, NAT10-ac4C-ANP32B axis can modulate the chromatin landscape of their downstream genes (e.g., key regulators of Wnt and TGFß pathways). Collectively, we show that NAT10 is an essential regulator of cellular plasticity, and its catalyzed mRNA cytidine acetylation represents a critical layer of epitranscriptomic modulation and uncover a previously unrecognized, direct cross-talk between epitranscriptomic modification and chromatin signaling during cell fate transitions.

MACHINE LEARNING FOR PREDICTING HEMODYNAMIC DETERIORATION OF PATIENTS WITH INTERMEDIATE-RISK PULMONARY EMBOLISM IN INTENSIVE CARE UNIT.

ABSTRACT: Background: Intermediate-risk pulmonary embolism (PE) patients in the intensive care unit (ICU) are at a higher risk of hemodynamic deterioration than those in the general ward. This study aimed to construct a machine learning (ML) model to accurately identify the tendency for hemodynamic deterioration in the ICU patients with intermediate-risk PE. Method: A total of 704 intermediate-risk PE patients from the MIMIC-IV database were retrospectively collected. The primary outcome was defined as hemodynamic deterioration occurring within 30 days after admission to ICU. Four ML algorithms were used to construct models on the basis of all variables from MIMIC IV database with missing values less than 20%. The extreme gradient boosting (XGBoost) model was further simplified for clinical application. The performance of the ML models was evaluated by using the receiver operating characteristic curve, calibration plots, and decision curve analysis. Predictive performance of simplified XGBoost was compared with the simplified Pulmonary Embolism Severity Index score. SHapley Additive explanation (SHAP) was performed on a simplified XGBoost model to calculate the contribution and impact of each feature on the predicted outcome and presents it visually. Results: Among the 704 intermediate-risk PE patients included in this study, 120 patients experienced hemodynamic deterioration within 30 days after admission to the ICU. Simplified XGBoost model demonstrated the best predictive performance with an area under the curve of 0.866 (95% confidence interval, 0.800-0.925), and after recalibrated by isotonic regression, the area under the curve improved to 0.885 (95% confidence interval, 0.822-0.935). Based on the simplified XGBoost model, a web app was developed to identify the tendency for hemodynamic deterioration in ICU patients with intermediate-risk PE. Conclusion: A simplified XGBoost model can accurately predict the occurrence of hemodynamic deterioration for intermediate-risk PE patients in the ICU, assisting clinical workers in providing more personalized management for PE patients in the ICU.

Single-cell analysis extracted CAFs-related genes to established online app to predict clinical outcome and radiotherapy prognosis of prostate cancer.

BACKGROUND: Cancer-associated fibroblasts (CAFs) play a significant role in regulating the clinical outcome and radiotherapy prognosis of prostate cancer (PCa). The aim of this study is to identify CAFs-related genes (CAFsRGs) using single-cell analysis and evaluate their potential for predicting the prognosis and radiotherapy prognosis in PCa. METHODS: We acquire transcriptome and single-cell RNA sequencing (scRNA-seq) results of PCa and normal adjacent tissues from The GEO and TCGA databases. The "MCPcounter" and "EPIC" R packages were used to assess the infiltration level of CAFs and examine their correlation with PCa prognosis. ScRNA-seq and differential gene expression analyses were used to extract CAFsRGs. We also applied COX and LASSO analysis to further construct a risk score (CAFsRS) to assess biochemical recurrence-free survival (BRFS) and radiotherapy prognosis of PCa. The predictive efficacy of CAFsRS was evaluated by ROC curves and subgroup analysis. Finally, we integrated the CAFsRS gene signature with relevant clinical features to develop a nomogram, enhancing the predictive accuracy. RESULTS: The abundance of CAFs is associated with a poor prognosis of PCa patients. ScRNA-seq and differential gene expression analysis revealed 323 CAFsRGs. After COX and LASSO analysis, we obtained seven CAFsRGs with prognostic significance (PTGS2, FKBP10, ENG, CDH11, COL5A1, COL5A2, and SRD5A2). Additionally, we established a risk score model based on the training set (n = 257). The ROC curve was used to confirm the performance of CAFsRS (The AUC values for 1, 3 and 5-year survival were determined to be 0.732, 0.773, and 0.775, respectively.). The testing set (n = 129), GSE70770 set (n = 199) and GSE116918 set (n = 248) revealed that the model exhibited exceptional predictive performance. This was also confirmed by clinical subgroup analysis. The violin plot demonstrated a statistically significant disparity in the CAFs infiltrations between the high-risk and low-risk groups of CAFsRS. Further analysis confirmed that both CAFsRS and T stage were independent prognostic factors for PCa. The nomogram was then established and its excellent predictive performance was demonstrated through calibration and ROC curves. Finally, we developed an online prognostic prediction app ( https://sysu-symh-cafsnomogram.streamlit.app/ ) to facilitate the practical application of the nomogram. CONCLUSIONS: The prognostic prediction risk score model we constructed could accurately predict BRFS and radiotherapy prognosis PCa, which can provide new ideas for clinicians to develop personalized PCa treatment and follow-up programs.

A fast chemical reprogramming system promotes cell identity transition through a diapause-like state.

Cellular reprogramming by only small molecules holds enormous potentials for regenerative medicine. However, chemical reprogramming remains a slow process and labour intensive, hindering its broad applications and the investigation of underlying molecular mechanisms. Here, through screening of over 21,000 conditions, we develop a fast chemical reprogramming (FCR) system, which significantly improves the kinetics of cell identity rewiring. We find that FCR rapidly goes through an interesting route for pluripotent reprogramming, uniquely transitioning through a developmentally diapause-like state. Furthermore, FCR critically enables comprehensive characterizations using multi-omics technologies, and has revealed unexpected important features including key regulatory factors and epigenetic dynamics. Particularly, activation of pluripotency-related endogenous retroviruses via inhibition of heterochromatin significantly enhances reprogramming. Our studies provide critical insights into how only environmental cues are sufficient to rapidly reinstate pluripotency in somatic cells, and make notable technical and conceptual advances for solving the puzzle of regeneration.

Machine learning for predicting diabetes risk in western China adults.

OBJECTIVE: Diabetes mellitus is a global epidemic disease. Long-time exposure of patients to hyperglycemia can lead to various type of chronic tissue damage. Early diagnosis of and screening for diabetes are crucial to population health. METHODS: We collected the national physical examination data in Xinjiang, China, in 2020 (a total of more than 4 million people). Three types of physical examination indices were analyzed: questionnaire, routine physical examination and laboratory values. Integrated learning, deep learning and logistic regression methods were used to establish a risk model for type-2 diabetes mellitus. In addition, to improve the convenience and flexibility of the model, a diabetes risk score card was established based on logistic regression to assess the risk of the population. RESULTS: An XGBoost-based risk prediction model outperformed the other five risk assessment algorithms. The AUC of the model was 0.9122. Based on the feature importance ranking map, we found that hypertension, fasting blood glucose, age, coronary heart disease, ethnicity, parental diabetes mellitus, triglycerides, waist circumference, total cholesterol, and body mass index were the most important features of the risk prediction model for type-2 diabetes. CONCLUSIONS: This study established a diabetes risk assessment model based on multiple ethnicities, a large sample and many indices, and classified the diabetes risk of the population, thus providing a new forecast tool for the screening of patients and providing information on diabetes prevention for healthy populations.

Harnessing endogenous transcription factors directly by small molecules for chemically induced pluripotency inception.

Chemistry-alone approach has recently been applied for incepting pluripotency in somatic cells, representing a breakthrough in biology. However, chemical reprogramming is hampered by low efficiency, and the underlying molecular mechanisms remain unclear. Particularly, chemical compounds do not have specific DNA-recognition domains or transcription regulatory domains, and then how do small molecules work as a driving force for reinstating pluripotency in somatic cells? Furthermore, how to efficiently clear materials and structures of an old cell to prepare the rebuilding of a new one? Here, we show that small molecule CD3254 activates endogenous existing transcription factor RXRα to significantly promote mouse chemical reprogramming. Mechanistically, CD3254-RXRα axis can directly activate all the 11 RNA exosome component genes (Exosc1-10 and Dis3) at transcriptional level. Unexpectedly, rather than degrading mRNAs as its substrates, RNA exosome mainly modulates the degradation of transposable element (TE)-associated RNAs, particularly MMVL30, which is identified as a new barrier for cell-fate determination. In turn, MMVL30-mediated inflammation (IFN-γ and TNF-α pathways) is reduced, contributing to the promotion of successful reprogramming. Collectively, our study provides conceptual advances for translating environmental cues into pluripotency inception, particularly, identifies that CD3254-RXRα-RNA exosome axis can promote chemical reprogramming, and suggests modulation of TE-mediated inflammation via CD3254-inducible RNA exosome as important opportunities for controlling cell fates and regenerative medicine.

Effects of neutrophil-to-lymphocyte ratio, serum calcium, and serum albumin on prognosis in patients with diabetic foot.

The purpose of this study is to investigate the predictive value of neutrophil-to-lymphocyte ratio (NLR), serum calcium, and serum albumin on the prognosis of patients with diabetic foot. A total of 156 patients who were treated in the Department of Burn and Plastic Surgery of Qilu Hospital of Shandong University from 1 January 2014 to 1 August 2020 were selected. All the patients were randomly divided into a healing group, minor amputation group, major amputation group, and death group according to their treatment outcomes. The levels of NLR, serum calcium and serum albumin in each group were examined and compared. The correlations between NLR, serum calcium, and serum albumin with the prognosis of diabetic foot were analysed to investigate their predictive effects on the prognosis of diabetic foot. The results of one-way ANOVA showed that among the 4 groups of patients, the difference in NLR values between the healing group and the minor amputation group was slightly smaller, but they were significantly different from the major amputation group and the death group, respectively. There was no significant difference in serum calcium levels between the healing group and the minor amputation group, but the serum calcium levels of the major amputation group and the death group gradually decreased. The levels of NLR in the 4 groups gradually increased, while the albumin levels gradually decreased. Spearman's rank correlation test indicated that NLR was significantly related to the prognosis of patients with diabetic foot. The group with higher NLR had a worse prognosis in diabetic foot patients. Serum calcium and serum albumin were strongly correlated with the prognosis of patients with diabetic foot. The group with lower serum calcium and serum albumin values had a worse prognosis in diabetic foot patients. The areas under the receiver operator characteristic curve of NLR, serum calcium and serum albumin were 0.901, 0.803, and 0.816, respectively. NLR, serum calcium and serum albumin can be used as reliable indicators to predict the prognosis of diabetic foot. Preoperative diabetic foot patients with higher NLR values or lower serum calcium and serum albumin have a poorer prognosis.

N6-methyladenosine modification-mediated mRNA metabolism is essential for human pancreatic lineage specification and islet organogenesis.

Pancreatic differentiation from human pluripotent stem cells (hPSCs) provides promising avenues for investigating development and treating diseases. N6-methyladenosine (m6A) is the most prevalent internal messenger RNA (mRNA) modification and plays pivotal roles in regulation of mRNA metabolism, while its functions remain elusive. Here, we profile the dynamic landscapes of m6A transcriptome-wide during pancreatic differentiation. Next, we generate knockout hPSC lines of the major m6A demethylase ALKBH5, and find that ALKBH5 plays significant regulatory roles in pancreatic organogenesis. Mechanistic studies reveal that ALKBH5 deficiency reduces the mRNA stability of key pancreatic transcription factors in an m6A and YTHDF2-dependent manner. We further identify that ALKBH5 cofactor α-ketoglutarate can be applied to enhance differentiation. Collectively, our findings identify ALKBH5 as an essential regulator of pancreatic differentiation and highlight that m6A modification-mediated mRNA metabolism presents an important layer of regulation during cell-fate specification and holds great potentials for translational applications.

Human expandable pancreatic progenitor-derived ß cells ameliorate diabetes.

An unlimited source of human pancreatic ß cells is in high demand. Even with recent advances in pancreatic differentiation from human pluripotent stem cells, major hurdles remain in large-scale and cost-effective production of functional ß cells. Here, through chemical screening, we demonstrate that the bromodomain and extraterminal domain (BET) inhibitor I-BET151 can robustly promote the expansion of PDX1+NKX6.1+ pancreatic progenitors (PPs). These expandable PPs (ePPs) maintain pancreatic progenitor cell status in the long term and can efficiently differentiate into functional pancreatic ß (ePP-ß) cells. Notably, transplantation of ePP-ß cells rapidly ameliorated diabetes in mice, suggesting strong potential for cell replacement therapy. Mechanistically, I-BET151 activates Notch signaling and promotes the expression of key PP-associated genes, underscoring the importance of epigenetic and transcriptional modulations for lineage-specific progenitor self-renewal. In summary, our studies achieve the long-term goal of robust expansion of PPs and represent a substantial step toward unlimited supplies of functional ß cells for biomedical research and regenerative medicine.

Heterogeneity of Accompanying Phenotypes and Genomic Variants Involved in Microtia.

OBJECTIVES: The symptoms associated with microtia are ever-changing and not to stick to 1 pattern. The symptoms associated with microtia are constantly changing and are not set in stone. The aim of this article was to describe the various phenotypes from multiple systems found in microtitis patients included in the DatabasE of genomiC varIation and Phenotype in Humans using Ensembl Resources database, and to analyze possible pathogenic mutations. METHODS: DatabasE of genomiC varIation and Phenotype in Humans using Ensembl Resources is an interactive web-based database, which incorporates a suite of tools designed to aid the interpretation of genomic variants. The term "microtia" was used as the search term, and the data extracted from the DatabasE of genomiC varIation and Phenotype in Humans using Ensembl Resources for this study was updated until October 2020. Pearson chi-squared test was used to test associations between types of genomic variants and the pathogenicity of variants. RESULTS: Of the 386 cases enrolled in the study, 99% (n = 382) had 1 or more associated abnormalities. The most frequently detected abnormalities were those of the face and neck (n = 362 [93.8% of all cases]); musculoskeletal system (n = 337 [87.3%]); and nervous system (n = 334 [86.5%]), followed by abnormalities of limbs (n = 252 [65.3%]); the eye (n = 212 [54.9%]); and the integument (n = 200 [51.8%]). Besides, a total of 479 genomic variants were determined, including sequence variants and copy number variants (loss and gain). The pathogenicity of loss-type variants was significantly higher among other types (P < 0.001). Twelve sharing variants had more than 5 repeats, and the repeated fragments were concentrated on chromosome 3, 7, 9, 10, 11, 15, 17, 18, and 22. CONCLUSIONS: Identification of the relation between phenotypes and genotypes will facilitate the uncovering of the mechanism of microtia and the study of potential therapeutic targets.

Inhibition of Syk promotes chemical reprogramming of fibroblasts via metabolic rewiring and H2 S production.

Chemical compounds have recently been introduced as alternative and non-integrating inducers of pluripotent stem cell fate. However, chemical reprogramming is hampered by low efficiency and the molecular mechanisms remain poorly characterized. Here, we show that inhibition of spleen tyrosine kinase (Syk) by R406 significantly promotes mouse chemical reprogramming. Mechanistically, R406 alleviates Syk / calcineurin (Cn) / nuclear factor of activated T cells (NFAT) signaling-mediated suppression of glycine, serine, and threonine metabolic genes and dependent metabolites. Syk inhibition upregulates glycine level and downstream transsulfuration cysteine biosynthesis, promoting cysteine metabolism and cellular hydrogen sulfide (H2 S) production. This metabolic rewiring decreased oxidative phosphorylation and ROS levels, enhancing chemical reprogramming. In sum, our study identifies Syk-Cn-NFAT signaling axis as a new barrier of chemical reprogramming and suggests metabolic rewiring and redox homeostasis as important opportunities for controlling cell fates.

Bioinformatics analysis of candidate genes involved in ethanol-induced microtia pathogenesis based on a human genome database: GeneCards.

OBJECTIVE: Ethanol used by women during pregnancy increases the risk for microtia in the foetus. Traditionally, laboratory experiments and Mouse Genome Informatics (MGI) have been used to explore microtia pathogenesis. The aim of this study was to screen and verify hub genes involved in ethanol-induced microtia and to explore the potential molecular mechanisms. METHODS: Overlapping genes related to ethanol and microtia were acquired from the GeneCards database and filtered by confidence score. These genes were further analysed via bioinformatics. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis results were visualized with the clusterProfiler R package. A protein-protein interaction (PPI) network was constructed based on data from the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database. RESULTS: Overall, 41 genes related to both ethanol and microtia were identified. The genes most relevant to ethanol-induced microtia pathogenesis included FGFR-2, FGFR-3, FGF-8, TP53, IGF1, SHH, CTNNB1, and PAX6, among others. Most genes were strongly enriched for tissue and organ development in GO analysis. Additionally, many genes were enriched in the Ras, FoxO, MAPK, and PI3K-Akt signalling pathways in KEGG analysis. CONCLUSIONS: Bioinformatics analysis was conducted on genes currently known to be related to ethanol-induced microtia pathogenesis. We propose that mechanisms involving FGF-family genes, TP53, IGF1 and SHH contribute significantly to ethanol-induced microtia and the accompanying malformation of other structures.

Targeting of keloid with TRAIL and TRAIL-R2/DR5.

Keloid is a common and frequently-occurring disease in plastic surgery, and its ugly appearance and itching symptoms bring mental and life pain to patients. However, the clinical treatment of keloid, such as drug injection treatment, surgical resection, cryotherapy, laser treatment and other therapeutic effects are poor. Since the discovery of tumor necrosis factor related apoptosis inducing ligand (TRAIL) in 1995, its selective apoptosis on tumor cells makes it have a great prospect in the targeted treatment of tumor. In recent years, it has been found that the formation of keloid is related to the imbalance of apoptosis of fibroblasts in scar and the binding of TRAI to its receptor mediates the apoptosis of fibroblasts. Therefore, the use of TRAIL and TRAIL-R2/death receptor 5 (DR5) in the treatment of keloid has become a hot research topic. In this paper, the present situation, mechanism and development prospect of TRAIL and TRAIL-R2/DR5 targeted treatment of keloid were reviewed, which provided a reference for promoting the development of keloid treatment.

The Efficacy of Drug Injection in the Treatment of Pathological Scar: A Network Meta-analysis.

BACKGROUND: Pathological scars mainly include hyperplastic scars and keloids, and there is no uniform treatment standard for the treatment of pathological scar in clinic now. Drug injection in the treatment of pathological scar is widely used because of its advantages of less trauma and simple operation. Therefore, we used a network meta-analysis to compare the curative effect of four kinds of drugs which are commonly used in the treatment of pathological scar such as botulinum toxin type A, corticosteroids (including diprospan and triamcinolone acetonide (TAC)), verapamil and 5-fluorouracil (5-FU), systematically. It is hoped that our study will provide evidence for the choice of drugs in the treatment of pathological scar by injection. METHODS: Relevant articles from Wanfang, VIP, CNKI, PubMed, Cochrane Library and Embase databases were extracted by us. They were included into a network meta-analysis to compare the four kinds of drugs which are commonly used in the treatment of pathological scar. RESULTS: The network meta-analysis included a total of 1513 patients from 23 studies. Through meta-analysis, we found that the efficacy of botulinum toxin type A combined with corticosteroid drugs was best in the treatment of pathological scar by injection. There was no significant difference between botulinum toxin type A, corticosteroids combined with 5 Fu, verapamil and 5-FU. The efficacy of corticosteroids combined with 5-FU was better than that of corticosteroids alone and verapamil alone, but there was no significant difference between them and 5-FU. Further, the order of efficacy predicted by the SUCRA curve was as follows: botulinum toxin type A combined with corticosteroids > corticosteroids combined with 5-FU > botulinum toxin type A > corticosteroids > 5-FU > verapamil. Moreover, no publication bias was found in the funnel diagram. CONCLUSION: In the injection treatment of pathological scar, we recommend the combined injection of two drugs, especially botulinum toxin type A combined with corticosteroids. The effective treatment of botulinum toxin type A combined with corticosteroids in the treatment of pathological scar is as follows: Patients were treated once monthly with intralesional injection of TAC (0.1 ml/cm3) mixed with botulinum toxin type A (2.5 IU/cm3) for a total of 3 treatments. However, there are still limitations in this network meta-analysis, and its conclusion still needs to be further confirmed by more randomized controlled trials. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

miR-4417 suppresses keloid fibrosis growth by inhibiting CyclinD1.

Mounting evidence has reported that microRNAs (miRNAs) play irreplaceable roles in the development of keloid fibrosis. miR-4417 has been reported to contribute to nickel chloride-promoted lung epithelial cell fibrogenesis and tumorigenesis. However, whether miR-4417 is involved in keloid fibrogenesis as well as its underlying mechanisms remain largely elusive. In this study, the expression levels of miR-4417 and CyclinD1 in keloid tissues and fibroblasts were examined by qRT-PCR. Cell proliferation was determined by CCK assay. Western blot and flow cytometry were performed to evaluate cell apoptosis. Cell migration and invasion were measured by Transwell assay. Luciferase reporter assay was used to confirm the relationship between miR4417 and CyclinD1. As a result, we found that miR-4417 was significantly down-regulated in keloid tissues and fibroblasts. miR-4417 up-regulation led to the suppression of proliferation, migration, and invasion, while induced cell apoptosis in keloid fibroblasts. However, miR-4417 depletion exerted an opposite effect. CyclinD1 harbored the binding sites with miR-4417. Besides, the expression of CyclinD1 was evidently decreased in keloid tissues and fibroblasts. Meanwhile, miR-4417 was negatively correlated with CyclinD1 in keloid tissue. The effect of CyclinD1 knockdown on keloid fibroblasts was similar to that of miR-4417 overexpression. Furthermore, the elevated of CyclinD1 expression rescued the effect of miR-4417 up-regulation on keloid fibroblasts. miR-4417/CyclinD1 axis was required for cell proliferation, apoptosis, migration, and invasion in keloid fibroblasts. In conclusion, miR-4417 and CyclinD1 may be potential therapeutic targets for the treatment of keloid.

miR-425 inhibits melanoma metastasis through repression of PI3K-Akt pathway by targeting IGF-1.

miR-425 is a potential tumor suppressor in cancer, but its role in melanoma is still unknown. We aim to investigate miR-425 expression in melanoma tissues and cell lines. Next, cell proliferation, cell cycle, apoptosis and metastasis will be studied using lentivirus-mediated gain-of-function studies. The predicted results are stable miR-425 inhibits cell proliferation and metastasis and induced cell apoptosis. It is predicted that IGF-1 is a potential target gene of miR-495 by bioinformatics analysis. Then luciferase assay analysis identifies IGF-1 as a new direct target gene of miR-425 and miR-425 inhibits melanoma cancer progression via IGF-1. Collectively, our findings suggested that miR-425 may function as a tumor suppressor in melanoma by targeting IGF-1.

A422T mutation in HERG potassium channel retained in ER is rescurable by pharmacologic or molecular chaperones.

In the present study, we characterized biologic and electrophysiologic consequences of A422T mutation in HERG K(+) channel and the role of pharmacologic or molecular chaperons by employing a heterogeneous expression system in HEK 293 cells. It was found that A422T mutation led to a marked decrease in whole-cell recording currents, and that a complexly glycosylated form protein band at 155 kDa was missing by Western blotting analysis compared to wild type (WT). And the mutant protein was mainly located in the cytoplasm as illustrated in immunocytochemical assay, indicating that the mutation underwent a trafficking defect. In addition, A422T mutation exerted remarkable dominant-negative suppression on WT, resulting in the alteration in the kinetic processes. Strikingly, trafficking-deficient A422T mutation was partially rescued by incubating the cells at a lower temperature, administration of pharmacologic chaperon, E4031 or overexpression of a chaperon molecule, Hsp90, but not Hsp70. In conclusion, missense A422T mutation in HERG K(+) channel results in its trafficking defect, which is rescurable by pharmacologic or molecular chaperones.

[Effects of silencing inhibitor of DNA binding-1 gene on the growth and invasiveness of adenoid cystic carcinoma cells].

OBJECTIVE: To investigate the role of inhibitor of DNA binding-1 (Id-1) gene in adenoid cystic carcinoma cell growth and invasion behavior. METHODS: With salivary adenoid cystic carcinoma cell lines ACC-M and ACC-2, dedected Id-1 gene expression was screened with immunofluorescence assay. After Id-1 mRNA knocking-down using small interfering RNA, RT-PCR and Western blot were used to detect the different expressions before and after interference, and the growth of cells before and after interference was deceted using the MTT assay, and the cell invasion ability was checked with the use of Transwell chamber assay. RESULTS: Id-1 were both expressed in the ACC-M and ACC-2, and the expression in ACC-M was higher than that in ACC-2. After Id-1 RNA interference, the growth and invasiveness of ACC-M and ACC-2 were inhibited with the restrained degree in ACC-M much stronger than that in the ACC-2. CONCLUSION: In view of the important role of Id-1 in the behavior of growth and invasion in ACC cell, interfering the expression of Id-1 gene is expected to be a novel and effective means for the treatment of adenoid cystic carcinoma.

The action of a novel fluoroquinolone antibiotic agent antofloxacin hydrochloride on human-ether-à-go-go-related gene potassium channel.

The administration of certain fluoroquinolone antibacterials has recently been linked to QT interval prolongation, raising the clinical concerns over the cardiotoxicity of these agents. In this study, the effects of a novel fluoroquinolone, antofloxacin hydrochloride (AX) on human-ether-à-go-go-related gene (HERG) encoding potassium channels and the biophysical mechanisms of drug action were performed with whole-cell patch-clamp technique in transiently transfected HEK293 cells. The administration of AX caused voltage- and time-dependent inhibition of HERG K+ current (I(HERG/MiRP1)) in a concentration-dependent manner but did not markedly modify the properties of channel kinetics, including activation, inactivation, deactivation and recovery from inactivation as well. In comparison with sparfloxacin (SPX), levofloxacin lactate (LVFX), the potency of AX to inhibit HERG tail currents was the least one, with an IC(50) value of 460.37 microM. By contrast, SPX was the most potent compound, displaying an IC(50) value of 2.69 microM whereas LVFX showed modest potency, with an IC(50) value of 43.86 microM, respectively. Taken together, our data suggest that AX only causes a minor reduction of I(HERG/MiRP1) at the estimated free plasma level.