Behavioural and transgenerational effects of artificial light at night (ALAN) of varying spectral compositions in zebrafish (Danio rerio).

Artificial light at night (ALAN) can disrupt the natural behaviour, physiology, and circadian rhythms of organisms exposed to it, and therefore presents a significant and widespread ecological concern. ALAN typically comprises a wide range of wavelengths, and different wavelengths have different effects on circadian clocks. In the animals investigated thus far, short and middle wavelengths are intensely involved in synchronisation and entrainment, but we still have a poor understanding of how different wavelengths might affect behaviour when animals are exposed to ALAN, in particular whether some wavelengths are disproportionally detrimental. This experiment examined the direct and transgenerational effects of 10 different wavelength treatments of ALAN on behaviour in zebrafish (Danio rerio), a diurnally active model organism. Across a 10-day period, female zebrafish were exposed to either a monochromatic wavelength, white light ALAN, or to a control treatment, and the individual impacts of each treatment on locomotion and anxiety-like behaviours were examined both for solitary fish and fish in groups. We found the strongest impact at short wavelengths (365 to 470 nm), with individuals and groups of zebrafish showing more anxiety-like behaviour after fewer nights of ALAN exposure relative to the other wavelengths. Furthermore, F1 offspring born from ALAN-exposed mothers displayed less frequent movement and shorter movement distances despite never being exposed to ALAN themselves, regardless of the spectral treatment. Our results highlight both the specific and broad-spectrum potential for ALAN to cause disruption to locomotion in adult zebrafish and their offspring.

Artificial intelligence improves the diagnosis of human leukocyte antigen (HLA)-B27-negative axial spondyloarthritis based on multi-sequence magnetic resonance imaging and clinical features.

Background: Axial spondyloarthritis (axSpA) is frequently diagnosed late, particularly in human leukocyte antigen (HLA)-B27-negative patients, resulting in a missed opportunity for optimal treatment. This study aimed to develop an artificial intelligence (AI) tool, termed NegSpA-AI, using sacroiliac joint (SIJ) magnetic resonance imaging (MRI) and clinical SpA features to improve the diagnosis of axSpA in HLA-B27-negative patients. Methods: We retrospectively included 454 HLA-B27-negative patients with rheumatologist-diagnosed axSpA or other diseases (non-axSpA) from the Third Affiliated Hospital of Southern Medical University and Nanhai Hospital between January 2010 and August 2021. They were divided into a training set (n=328) for 5-fold cross-validation, an internal test set (n=72), and an independent external test set (n=54). To construct a prospective test set, we further enrolled 87 patients between September 2021 and August 2023 from the Third Affiliated Hospital of Southern Medical University. MRI techniques employed included T1-weighted (T1W), T2-weighted (T2W), and fat-suppressed (FS) sequences. We developed NegSpA-AI using a deep learning (DL) network to differentiate between axSpA and non-axSpA at admission. Furthermore, we conducted a reader study involving 4 radiologists and 2 rheumatologists to evaluate and compare the performance of independent and AI-assisted clinicians. Results: NegSpA-AI demonstrated superior performance compared to the independent junior rheumatologist (≤5 years of experience), achieving areas under the curve (AUCs) of 0.878 [95% confidence interval (CI): 0.786-0.971], 0.870 (95% CI: 0.771-0.970), and 0.815 (95% CI: 0.714-0.915) on the internal, external, and prospective test sets, respectively. The assistance of NegSpA-AI promoted discriminating accuracy, sensitivity, and specificity of independent junior radiologists by 7.4-11.5%, 1.0-13.3%, and 7.4-20.6% across the 3 test sets (all P<0.05). On the prospective test set, AI assistance also improved the diagnostic accuracy, sensitivity, and specificity of independent junior rheumatologists by 7.7%, 7.7%, and 6.9%, respectively (all P<0.01). Conclusions: The proposed NegSpA-AI effectively improves radiologists' interpretations of SIJ MRI and rheumatologists' diagnoses of HLA-B27-negative axSpA.

Effect of differences in proximal neck angles on biomechanics of abdominal aortic aneurysm based on fluid dynamics.

BACKGROUND: This study aimed to analyze the effect of proximal neck angulation on the biomechanical indices of abdominal aortic aneurysms (AAA) and to investigate its impact on the risk of AAA rupture. METHODS: CT angiography (CTA) data of patients with AAA from January 2015 to January 2022 were collected. Patients were divided into three groups based on the angle of the proximal neck: Group A (âˆ ß ≤ 30°), Group B (30°<âˆ ß ≤ 60°), and Group C (âˆ ß > 60°). Biomechanical indices related to the rupture risk of AAA were analyzed using computational fluid dynamics modeling (CFD-Post) based on the collected data. RESULTS: Group A showed slight turbulence in the AAA lumen with a mixed laminar flow pattern. Group B had a regular low-speed eddy line characterized by cross-flow dominated by lumen blood flow and turbulence. In Group C, a few turbulent lines appeared at the proximal neck, accompanied by eddy currents in the lumen expansion area following the AAA shape. Significant differences were found in peak wall stress, shear stress, and the maximum blood flow velocity impact among the three groups. The maximum blood flow velocity at the angle of the proximal neck impact indicated the influence of the proximal neck angle on the blood flow state in the lumen. CONCLUSION: As the angle of the proximal neck increased, it caused stronger eddy currents and turbulent blood flow due to a high-speed area near the neck. The region with the largest diameter in the abdominal aortic aneurysm was prone to the highest stress, indicating a higher risk of rupture. The corner of the proximal neck experienced the greatest shear stress, potentially leading to endothelial injury and further enlargement of the aneurysm.

Shy and Bold Fish Have the Same Preference for Light Color Selection.

Personality, which matters for animal welfare, demonstrates behavioral differences. Light is one of the most important factors in aquaculture. However, how fish personality affects light color selection is unclear. In this study, we tested the personality of yellow catfish Pelteobagrus fulvidraco juveniles and then quantified the selective behaviors of different personalities under six light colors: violet (410-420 nm), yellow (580-590 nm), green (550-560 nm), red (620-630 nm), blue (470-480 nm), and white. The results showed that juveniles preferred the yellow and green light over the other colors of light, probably due to different reasons. The average cumulative dwell time in yellow (32.81 ± 5.22%), green (21.81 ± 3.58%), and red (26.36 ± 4.89%) lights was significantly longer than the other light colors, and the average visit frequency in green light (32.00 ± 4.93%) was the most. Juveniles had the longest total moved distance in green light. Moreover, the results demonstrated that shy and bold individuals had the same preference for the green light. Bold individuals could find the preferred light colors rapidly and make quick decisions for light color selection. After identifying the preferred light colors, bold individuals reduced the frequency of exploration. This study provides a theoretical basis for the welfare of juvenile yellow catfish in aquaculture.

Atomic Force Microscopy Lifetime Analysis: An Intuitive Method for Evaluating Receptor Tyrosine Kinase Dimer-Targeting Inhibitors.

Overexpression of receptor tyrosine kinases (RTKs) or binding to ligands can lead to the formation of specific unliganded and liganded RTK dimers, and these two RTK dimers are potential targets for preventing tumor metastasis. Traditional RTK dimer inhibitor analysis was mostly based on end point assays, which required cumbersome cell handling and behavior monitoring. There are still challenges in developing intuitive process-based analytical methods to study RTK dimer inhibitors, especially those used to visually distinguish between unliganded and liganded RTK dimer inhibitors. Herein, taking the mesenchymal-epithelial transition factor (MET) receptor, an intuitive method for evaluating MET inhibitors has been developed based on atomic force microscopy (AFM) lifetime analysis. The time interval between the start of the force and the bond break point was regarded as the bond lifetime, which could reflect the stability of the MET dimer. The results showed that there was a significant difference in the lifetime (τ) of unliganded MET dimers (τ1 = 207.87 ± 4.69 ms) and liganded MET dimers (τ2 = 330.58 ± 15.60 ms) induced by the hepatocyte growth factor, and aptamer SL1 could decrease τ1 and τ2, suggesting that SL1 could inhibit both unliganded and liganded MET dimers. However, heparin only decreased τ2, suggesting that it could inhibit only the liganded MET dimer. AFM-based lifetime analysis methods could monitor RTK dimer status rather than provide overall average results, allowing for intuitive process-based analysis and evaluation of RTK dimers and related inhibitors at the single-molecule level. This study provides a novel complementary strategy for simple and intuitive RTK inhibitor research.

One-step multiplex analysis of breast cancer exosomes using an electrochemical strategy assisted by gold nanoparticles.

Exosomes, as a non-invasive biomarker, perform an important role in breast cancer screening and prognosis monitoring. However, establishing a simple, sensitive, and reliable exosome analysis technique remains challenging. Herein, a one-step multiplex analysis electrochemical aptasensor based on a multi-probe recognition strategy was constructed to analyze breast cancer exosomes. HER2-positive breast cancer cell (SK-BR-3) exosomes were selected as the model targets and three aptamers including CD63, HER2 and EpCAM aptamers were used as the capture units. Methylene blue (MB) functionalized HER2 aptamer and ferrocene (Fc) functionalized EpCAM aptamer, which were modified on gold nanoparticles (Au NPs), i.e. MB-HER2-Au NPs and Fc-EpCAM-Au NPs, were used as signal units. When the mixture of target exosomes, MB-HER2-Au NPs and Fc-EpCAM-Au NPs were added on the CD63 aptamer modified gold electrode, two Au NPs modified by MB and Fc could be specifically captured on the electrode by the recognition of three aptamers with target exosomes. Then one-step multiplex analysis of exosomes was achieved by detecting two independent electrochemical signals. This strategy can not only distinguish breast cancer exosomes from other exosomes (including normal exosomes and other tumor exosomes) but also HER2-positive breast cancer exosomes and HER2-negative breast cancer exosomes. Besides, it had high sensitivity and can detect SK-BR-3 exosomes with a concentration as low as 3.4 × 103 particles mL-1. Crucially, this method can be applicable to the examination of exosomes in complicated samples, which is anticipated to afford assistance for the screening and prognosis of breast cancer.

Investigation on protein dimerization and evaluation of medicine effects by single molecule force spectroscopy.

Monitoring the dimerization state of the mesenchymal-epithelial transition factor (Met) was essential for in-depth understanding of the tumor signal transduction network. At present, the dimerization activation pathway of Met protein was mainly studied at the macro level, while the research at the single molecule level was far from comprehensive. Herein, the dimerization activation of Met protein's extracellular domain induced by ligand hepatocyte growth factor (HGF) was dynamically studied by single-molecule force spectroscopy. Met protein was immobilized on a biomimetic lipid membrane for ensuring its physiological environment, and then the Met dimers were recognized by bivalent probe which was formed by two Met-binding aptamers. Then the dimeric state of Met protein could be distinguished from monomeric state of Met protein through some parameters, (such as unimodal ratio, bimodal ratio and separation work). The unimodal indicates the occurrence of single molecule binding event, and the bimodal represents the occurrence of double binding event (also represents the presence of Met dimer). Before HGF treatment, most of the Met protein on the lipid membrane was still in the form of monomer, so the unimodal ratio in the force curve was larger (78.8 ± 5.2%), and the bimodal ratio was smaller (17.0 ± 4.1%). After HGF treatment, the unimodal ratio decreased to 54.0 ± 7.4%, and the bimodal ratio increased to 43.2 ± 7.3%. It was due to the formation of dimers after the binding of Met protein on the fluidity lipid membrane with HGF. In addition, the average separation work increased to about 2 times after HGF treatment. Given that studies of Met protein dimerization inhibitors have contributed to the development of more potent and safe inhibitors to significantly inhibit tumor metastasis, the effects of different medicines (including anticoagulant medicines, different antibiotics and anti-cancer medicines) on the dimerization activation of Met protein were then explored by the platform described above. The results showed that anticoagulant medicines heparin and its analogs can significantly inhibit HGF-mediated Met protein activation, while different antibiotics and anticancer medicines had no significant effect on the dimerization of Met protein. This work provided a platform for studying protein dimerization as well as for screening Met protein dimerization inhibitors at the single-molecule level.

A Changing Light Environment Induces Significant Lateral CO2 Diffusion within Maize Leaves.

A leaf structure with high porosity is beneficial for lateral CO2 diffusion inside the leaves. However, the leaf structure of maize is compact, and it has long been considered that lateral CO2 diffusion is restricted. Moreover, lateral CO2 diffusion is closely related to CO2 pressure differences (ΔCO2). Therefore, we speculated that enlarging the ΔCO2 between the adjacent regions inside maize leaves may result in lateral diffusion when the diffusion resistance is kept constant. Thus, the leaf structure and gas exchange of maize (C4), cotton (C3), and other species were explored. The results showed that maize and sorghum leaves had a lower mesophyll porosity than cotton and cucumber leaves. Similar to cotton, the local photosynthetic induction resulted in an increase in the ΔCO2 between the local illuminated and the adjacent unilluminated regions, which significantly reduced the respiration rate of the adjacent unilluminated region. Further analysis showed that when the adjacent region in the maize leaves was maintained under a steady high light, the photosynthesis induction in the local regions not only gradually reduced the ΔCO2 between them but also progressively increased the steady photosynthetic rate in the adjacent region. Under field conditions, the ΔCO2, respiration, and photosynthetic rate of the adjacent region were also markedly changed by fluctuating light in local regions in the maize leaves. Consequently, we proposed that enlarging the ΔCO2 between the adjacent regions inside the maize leaves results in the lateral CO2 diffusion and supports photosynthesis in adjacent regions to a certain extent under fluctuating light.

Sunflower Leaf Structure Affects Chlorophyll a Fluorescence Induction Kinetics In Vivo.

Chlorophyll a fluorescence induction kinetics (CFI) is an important tool that reflects the photosynthetic function of leaves, but it remains unclear whether it is affected by leaf structure. Therefore, in this study, the leaf structure and CFI curves of sunflower and sorghum seedlings were analyzed. Results revealed that there was a significant difference between the structures of palisade and spongy tissues in sunflower leaves. Their CFI curves, measured on both the adaxial and abaxial sides, also differed significantly. However, the differences in the leaf structures and CFI curves between both sides of sorghum leaves were not significant. Further analysis revealed that the differences in the CFI curves between the adaxial and abaxial sides of sunflower leaves almost disappeared due to reduced incident light scattering and refraction in the leaf tissues; more importantly, changes in the CFI curves of the abaxial side were greater than the adaxial side. Compared to leaves grown under full sunlight, weak light led to decreased differences in the CFI curves between the adaxial and abaxial sides of sunflower leaves; of these, changes in the CFI curves and palisade tissue structure on the adaxial side were more obvious than on the abaxial side. Therefore, it appears that large differences in sunflower leaf structures may affect the shape of CFI curves. These findings lay a foundation for enhancing our understanding of CFI from a new perspective.

Polymer-assisted Au@PDA nanoparticles lyophilized powder with high stability and low adsorption and its application in colorimetric biosensing.

Gold nanoparticles (Au NPs) has been widely used to develop label-free colorimetric biosensors. Since the lyophilization process of Au NPs might cause various stresses and lead to irreversible aggregation, Au NPs were usually preserved in an aqueous suspension, which was inconvenienced for transportation and storage. In addition, the potential adsorption interaction between target and Au NPs was often ignored, which may lead to false-signal for Au NPs based colorimetric strategy. Herein, polydopamine-coated gold nanoparticles (Au@PDA NPs) freeze-dried powder was prepared with the assistance of polyvinylpyrrolidone (PVP) (i.e. Au@PDA-PVP NPs) or polyethylene glycol (PEG) (i.e. Au@PDA-PEG NPs). After freeze-dried powder of Au@PDA nanoparticles was redissolved, not only their spectral properties can still be maintained, but also the Au@PDA nanoparticles have nice monodispersity. Besides, the freeze-dried powder has long-term stability and could be stored for at least nine months. Since kanamycin, an aminoglycoside antibiotic, can be absorbed on the surface of Au NPs and induce easily the false signal, it was difficult to be detected using conventional Au NPs-based colorimetric method. Thus, kanamycin was chosen as the model target, a simple, sensitive and label-free colorimetric sensor was established. Given that the adsorption between kanamycin and Au@PDA-PVP NPs was effectively avoided, the possibility of false-positive signal was also reduced. The detection limit of kanamycin was 0.22 nM (S/N = 3), which was met the requirements for the detection of kanamycin residues in milk. This work not only provided an effective and facile way to prepare the nanomaterial lyophilized powder, but also expanded the application of the Au NPs based colorimetric method.

Intraluminal Diverticular Duodenal Duplication With Recurrent Abdominal Pain: A Case Report.

Duodenal duplication is a rare congenital anomaly and may manifest as pancreatitis, gastrointestinal bleeding, abdominal pain, perforation, and obstruction. Here, we present a case of intraluminal diverticular duodenal duplication (IDDD) in a child with recurrent abdominal pain caused by a large hole-like structure in the duodenal bulb. This condition has rarely been reported. An 11-year-old boy presented with recurrent attacks of abdominal pain. Upper endoscopy examination and barium swallowing led to an initial diagnosis of IDDD; this diagnosis was confirmed by operative findings and histopathological signs. He underwent a subtotal excision and duodenal anastomosis. No serious complications occurred following treatment. The patient was followed up for 8 months, and his condition improved without symptoms.

Curcumin nicotinate suppresses abdominal aortic aneurysm pyroptosis via lncRNA PVT1/miR-26a/KLF4 axis through regulating the PI3K/AKT signaling pathway.

Abdominal aortic aneurysm (AAA) is a chronic dilated disease of the aorta that is characterized by chronic inflammation. Curcumin (Cur) is previously showed to attenuate AAA by inhibiting inflammatory response in ApoE -/- mice. Since Cur has the limitations of aqueous solubility and instability. Here, we focus on the role of curcumin nicotinate (CurTn), a Cur derivative is derived from Cur and nicotinate. An in vitro model of AAA was established by treating vascular smooth muscle cells (VSMCs) with II (Ang-II). Gene and protein expressions were examined by quantitative real-time PCR (qPCR) or western blotting. Cell migration and pyroptosis were determined by transwell assay and flow cytometry. The interaction between plasmacytoma variant translocation 1 (PVT1), miR-26a and krüppel-like factor 4 (KLF4) was predicted by online prediction tool and confirmed by luciferase reporter assay. CurTn reduced Ang-II-induced AAA-associated proteins, inflammatory cytokine expressions, and attenuated pyroptosis in VSMCs. PVT1 overexpression suppressed the inhibitory effect of CurTn on AngII-induced pyroptosis and inflammatory in VSMCs by sponging miR-26a. miR-26a directly targeted KLF4 and suppressed its expression, which eventually led to the deactivation of the PI3K/AKT signaling pathway. Besides, the regulatory effect of CurTn on pyroptosis of VSMCs induced by Ang-II was reversed through the PVT1/miR-26a/KLF4 pathway. In short, CurTn suppressed VSMCs pyroptosis and inflammation though mediation PVT1/miR-26a/KLF4 axis by regulating the PI3K/AKT signaling pathway, CurTn might consider as a potential therapeutic target in the treatment of AAA.

Analysis of the Role and Regulatory Mechanism of hsa-miR-504 in Cervical Cancer Based on The Cancer Genome Atlas Database.

Objective: This study investigated the expression and clinical value of hsa-miR-504 in cervical cancer and its possible mechanism of regulating the progress of cervical cancer. Methods: The expression of microRNAs (miRNAs) in cervical cancer was analyzed on The Cancer Genome Atlas (TCGA) database. The correlation between differentially expressed miRNAs and overall survival (OS) of cervical cancer patients was analyzed by Kaplan-Meier method. The target genes regulated downstream by hsa-miR-504 were predicted by miRWalk 2.0 and analyzed by Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) after differential screening. Univariate and multivariate Cox regressions were performed to screen the prognosis-related target genes. Results: There were 82 differentially expressed miRNAs between cervical cancer and noncancerous tissues in TCGA database (fold change >2, p < 0.05). Among them, nine miRNAs, including hsa-miR-504, were significantly correlated with OS in cervical cancer patients. Hsa-miR-504 was downregulated in cervical cancer, and low hsa-miR-504 expression was associated with poor prognosis. There were 2670 target genes of hsa-miR-504, and 240 target genes were further confirmed to be upregulated by TCGA database (fold change >2, p < 0.05). GO and KEGG showed that the upregulated target genes were mainly enriched in cell cycle, DNA replication, p53 signaling pathway, and so on. Kaplan-Meier survival analysis showed that 21 target genes were associated with OS in cervical cancer patients (p < 0.05). Univariate and multivariate Cox regression analysis showed that five genes were independent prognostic factors in cervical cancer. Conclusion: The low expression of hsa-miR-504 was closely related to the occurrence and development of cervical cancer, and hsa-miR-504 might be a potential molecular marker for favorable prognosis in cervical cancer. Cell cycle, DNA replication, and p53 signaling pathway were important mechanisms of downregulated hsa-miR-504 involved in the occurrence and development of cervical cancer.

Engineering and Application of a Myoglobin Binding Split Aptamer.

Given that a split aptamer provides a chance for the development of a sandwich assay for targets with only one aptamer, it has received extensive attention in biosensing. However, due to the lack of binding mechanisms and reliable methods, there were still a few split aptamers that bind to proteins. In this work, cardiac biomarker myoglobin (Myo) was selected as a model, a new strategy of engineering split aptamers was explored with atomic force spectroscopy (AFM), and split aptamers against target protein could be achieved by choosing the optimal binding probability between split aptamers and target. Then, the obtained split aptamers were designed for Myo detection based on dynamic light scattering (DLS). The results demonstrated that the obtained split aptamers could be used to detect targets in human serum. The strategy of engineering split aptamers has the advantages of being intuitive and reliable and could be a general strategy for obtaining split aptamers.

[Comparison of B-NDG? and BALB/c mouse models bearing patient-derived xenografts of esophageal squamous cell carcinoma].

OBJECTIVE: To investigate the difference of tumor formation in different mouse strains bearing patient-derived xenograft of esophageal squamous cell carcinoma(ESCC) and establish a better animal model for preclinical study of individualized treatment of ESCC. METHODS: The tumor tissues collected from 22 ESCC patients were used to establish tumor-bearing mouse models in B-NDG? (NSG) mice and BALB/c nude mice. The tumor formation rate and tumor formation time were compared between the two mouse models, and HE staining, immunohistochemistry and genome sequencing were carried out to assess the consistency between transplanted tumor tissues in the models and patient-derived tumor tissues. RESULTS: The tumor-bearing models were established successfully in both NSG mice (50%, 11/22) and BALB/c nude mice (18.18%, 4/22). The average tumor formation time was significantly shorter in NSG mice than in BALB/c nude mice (75.95 vs 91.67 days, P < 0.001). In both of the mouse models, the transplanted tumors maintained morphological characteristics identical to those of patient-derived ESCC tumors. Genetic analysis showed that the xenografts in NSG mice had a greater genetic similarity to the patients' tumors than those in BALB/c nude mice (P < 0.0001). CONCLUSIONS: Mouse models bearing xenografts of patient-derived ESCC can be successfully established in both NSG mice and BALB/c nude mice, but the models in the former mouse strain can be more reliable.

HSP90 Inhibitor Ganetespib (STA-9090) Inhibits Tumor Growth in c-Myc-Dependent Esophageal Squamous Cell Carcinoma.

PURPOSE: Currently, the paucity of classical effective pharmacological drugs to treat esophageal squamous cell carcinoma (ESCC) is a major problem. The c-Myc (MYC) protein is a promising target as it is overexpressed in ESCC. MYC is a sensitive client protein of the heat shock protein 90 (HSP90) and, therefore, targeting the HSP90-MYC axis by inhibition of HSP90 is a potential therapeutic strategy for ESCC. Here, we evaluated the clinical application value of the HSP90 inhibitor (Ganetespib, STA-9090) as an anti-cancer agent for MYC-positive ESCC. MATERIALS AND METHODS: We first analyzed ESCC tissue microarrays and clinical tissue samples to determine MYC expression. The relationship between MYC and HSP90 was analyzed by co-immunoprecipitation assays and immunofluorescence. In in vitro cell models, cell growth was analyzed using the CCK-8 kit, and MYC protein expression was analyzed by Western blot. The in vivo antitumor activity of STA-9090 was assessed in two xenograft animal models. RESULTS: We demonstrated that MYC-overexpressing ESCC cells were highly sensitive to STA-9090 treatment through suppressing ESCC cell proliferation, cell cycle progression and survival. Moreover, STA-9090 treatment decreased MYC expression, reducing the half-life of the MYC protein. We further established two xenograft mouse models using ESCC cells and clinical ESCC samples to validate the effectiveness of STA-9090 in vivo. In both xenograft models, STA-9090 substantially inhibited the growth of MYC-positive ESCC tumors in vivo. In contrast, STA-9090 treatment demonstrated no beneficial effects in mice with low-MYC expressing ESCC tumors. CONCLUSION: In conclusion, our data support that the HSP90 inhibitor, STA-9090, suppresses the expression of the MYC protein and interferes with HSP90-MYC protein-protein interaction. This, in turn, leads to inhibition of ESCC cell proliferation and promotion of apoptosis in ESCC cells in vitro and reduction of ESCC tumors in vivo. We propose, based on our findings, that STA-9090 is a potential novel therapeutic target for MYC-positive ESCC.

Development of DNA Aptamer as a ß-Amyloid Aggregation Inhibitor.

Developing a strategy of modulating ß-amyloid (Aß) aggregation with low cost, easy synthesis, high efficiency, and biosafety is significant and a challenge for Alzheimer's disease (AD) therapy. Herein, DNA aptamer (Aß-Apt) against Aß42 obtained by in vitro selection was developed as a potent inhibitor of Aß42 aggregation for the first time. Indeed, the Aß42 monomer fibrillation was inhibited completely by Aß-Apt. Notably, the inhibition effect of Aß-Apt on the Aß42 oligomer aggregation was more obvious than that on the Aß42 monomer aggregation. It was presumed that the distinguishing effect may be attributed to different binding behaviors of Aß-Apt with Aß42 monomer and Aß42 oligomer. Surface plasmon resonance analysis demonstrated that Aß-Apt specifically recognized Aß42 monomer and Aß42 oligomer. Furthermore, the binding affinity of Aß-Apt with Aß42 oligomer was larger than that of Aß-Apt with Aß42 monomer. This work provided a promising platform with high efficiency for manipulating Aß aggregation.

Integrated high-throughput analysis identifies super enhancers associated with chemoresistance in SCLC.

BACKGROUND: Chemoresistance is a primary clinical challenge for the management of small cell lung cancer. Additionally, transcriptional regulation by super enhancer (SE) has an important role in tumor evolution. The functions of SEs, a key class of noncoding DNA cis-regulatory elements, have been the subject of many recent studies in the field of cancer research. METHODS: In this study, using chromatin immunoprecipitation-sequencing and RNA-sequencing (RNA-seq), we aimed to identify SEs associated with chemoresistance from H69AR cells. Through integrated bioinformatics analysis of the MEME chip, we predicted the master transcriptional factors (TFs) binding to SE sites and verified the relationships between TFs of SEs and drug resistance by RNA interference, cell counting kit 8 assays, quantitative real-time reverse transcription polymerase chain reaction. RESULTS: In total, 108 SEs were screened from H69AR cells. When combining this analysis with RNA-seq data, 45 SEs were suggested to be closely related to drug resistance. Then, 12 master TFs were predicted to localize to regions of those SEs. Subsequently, we selected forkhead box P1 (FOXP1), interferon regulatory factor 1 (IRF1), and specificity protein 1 (SP1) to authenticate the functional relationships of master TFs with chemoresistance via SEs. CONCLUSIONS: We screened out SEs involved with drug resistance and evaluated the functions of FOXP1, IRF1, and SP1 in chemoresistance. Our findings established a large group of SEs associated with drug resistance in small cell lung cancer, revealed the drug resistance mechanisms of SEs, and provided insights into the clinical applications of SEs.