Novel kinase 1 regulates CD8+T cells as a potential therapeutic mechanism for idiopathic pulmonary fibrosis.

Idiopathic pulmonary fibrosis (IPF) is a rare, chronic and progressively worsening lung disease that poses a significant threat to patient prognosis, with a mortality rate exceeding that of some common malignancies. Effective methods for early diagnosis and treatment remain for this condition are elusive. In our study, we used the GEO database to access second-generation sequencing data and associated clinical information from IPF patients. By utilizing bioinformatics techniques, we identified crucial disease-related genes and their biological functions, and characterized their expression patterns. Furthermore, we mapped out the immune landscape of IPF, which revealed potential roles for novel kinase 1 and CD8+T cells in disease progression and outcome. These findings can aid the development of new strategies for the clinical diagnosis and treatment of IPF.

NF-κB affected the serum levels of TNF-α and IL-1ß via activation of the MAPK/NF-κB signaling pathway in rat model of acute pulmonary microthromboembolism.

Pulmonary thromboembolism caused by thrombi blocking major pulmonary artery and its branches, is a frequently encountered phenomenon and an important cause of high morbidity and mortality in lung diseases and may develop into persistent pulmonary hypertension (PH). Nuclear factor-κB (NF-κB) signaling pathway had been reported participated in the formation and development of PH by promoting inflammatory response. The aim of this study was to investigate the effects of NF-κB activation on the serum levels of tumor necrosis factor α (TNF-α) and interleukin-1ß (IL-1ß) in acute pulmonary microthromboembolism (APMTE) rats. Rats were randomized into five groups. APMTE group received jugular vein injection of autologous thrombus, while control group rats received normal saline injection. Pulmonary hemodynamic parameters were measured through ECHO-guided transthoracic puncture. Pulmonary vascular morphological changes were analyzed by HE. The expression changes of NF-κB and serum TNF-α、IL-1ß levels were detected by enzyme-linked immunosorbent assay. Protein expression of the MAPK/NF-κB signaling pathway including p-IκBα, p-p38 MAPK, p-NF-κB p65, IκBα, p38 MAPK, and NF-κB p65 was determined using western blot analysis. Compared with control group, the expression of NF-κB in lung tissue and the levels of serum TNF-α and IL-1ß rats were higher, a significant reduction in IκBα and elevation in the phosphorylation of IκBα, p38 MAPK, and NF-κB p65 were found in APMTE group rats. And UK administration reversed the APMTE-induced increase in TNF-α, IL-1ß, p-IκBα, p-MAPK, and p-NF-κB protein. Furthermore, the levels of NF-κB, TNF-α, and IL-1ß were positively correlated with mean pulmonary artery. And the levels of TNF-α and IL-1ß were positively correlated with NF-κB. These findings suggest that the activation of MAPK/NF-κB pathway as a critical driver of increasing TNF-α and IL-1ß level in APMTE rats and UK exerted protective effects against APMTE-induced PH may be related to the downregulation of the MAPK/NF-κB signaling pathway.

A dandelion-like nanomedicine via hierarchical self-assembly for synergistic chemotherapy and photo-dynamic cancer therapy.

The synergistic effect of chemotherapy and photo-dynamic therapy (PDT) is an effective way to improve the efficiency of tumor treatment. However, most synergistic therapeutic drugs have poor water solubility and stability, so it is difficult to achieve high therapeutic effects while avoiding the severe side effects. Herein, a unique dandelion-like nanomedicine (named as cRGDfk-CCPT-mCe6) was successfully synthesized using Ce6-loaded amphiphilic ß-cyclodextrins (ß-CD) doped lipid-based vesicles as the core (receptacle) and ß-CD modified camptothecin (CPT) pro-drug as the flyable dandelion seeds. The ß-CD modified CPT pro-drug was introduced into the core vesicles in succession via host-guest interaction between inter-molecular ß-CD and CPT, and cRGDfk peptides were further introduced as the outermost layer (stigma) to enhance the internalization into cancer cells. CPT interacted with ß-CD through glutathione (GSH)-cleavable disulfide bonds, which led to drug release in glutathione-rich cancer cells, just as spread of dandelion seeds in the wind. GSH consumption further disrupted the intracellular redox homeostasis of cancer cells through combined action of Ce6 with light irradiation and the synergistic anti-tumor effect was thus achieved, resulting in apoptosis of cancer cells. Therefore, the nanomedicine provides a facile and versatile anti-tumor strategy, as well as a persistent anti-cancer effects.

What makes the unsupervised monocular depth estimation (UMDE) model training better.

Current computer vision tasks based on deep learning require a huge amount of data with annotations for model training or testing, especially in some dense estimation tasks, such as optical flow segmentation and depth estimation. In practice, manual labeling for dense estimation tasks is very difficult or even impossible, and the scenes of the dataset are often restricted to a small range, which dramatically limits the development of the community. To overcome this deficiency, we propose a synthetic dataset generation method to obtain the expandable dataset without burdensome manual workforce. By this method, we construct a dataset called MineNavi containing video footages from first-perspective-view of the aircraft matched with accurate ground truth for depth estimation in aircraft navigation application. We also provide quantitative experiments to prove that pre-training via our MineNavi dataset can improve the performance of depth estimation model and speed up the convergence of the model on real scene data. Since the synthetic dataset has a similar effect to the real-world dataset in the training process of deep model, we finally conduct the experiments on MineNavi with unsupervised monocular depth estimation (UMDE) deep learning models to demonstrate the impact of various factors in our dataset such as lighting conditions and motion mode, aiming to explore what makes this kind of models training better.

Urokinase-loaded cyclic RGD-decorated liposome targeted therapy for in-situ thrombus of pulmonary arteriole of pulmonary hypertension.

Backgroud: In-situ thrombosis is a significant pathophysiological basis for the development of pulmonary hypertension (PH). However, thrombolytic therapy for in-situ thrombus in PH was often hampered by the apparent side effects and the low bioavailability of common thrombolytic medications. Nanoscale cyclic RGD (cRGD)-decorated liposomes have received much attention thanks to their thrombus-targeting and biodegradability properties. As a result, we synthesized urokinase-loaded cRGD-decorated liposome (UK-cRGD-Liposome) for therapy of in-situ thrombosis as an exploration of pulmonary hypertensive novel therapeutic approaches. Purpose: To evaluate the utilize of UK-cRGD-Liposome for targeted thrombolysis of in-situ thrombus in PH and to explore the potential mechanisms of in-situ thrombus involved in the development of PH. Methods: UK-cRGD-Liposome nanoscale drug delivery system was prepared using combined methods of thin-film hydration and sonication. Induced PH via subcutaneous injection of monocrotaline (MCT). Fibrin staining (modified MSB method) was applied to detect the number of vessels within-situ thrombi in PH. Echocardiography, hematoxylin-eosin (H & E) staining, and Masson's trichrome staining were used to analyze right ventricular (RV) function, pulmonary vascular remodeling, as well as RV remodeling. Results: The number of vessels with in-situ thrombi revealed that UK-cRGD-Liposome could actively target urokinase to in-situ thrombi and release its payload in a controlled manner in the in vivo environment, thereby enhancing the thrombolytic effect of urokinase. Pulmonary artery hemodynamics and echocardiography indicated a dramatical decrease in pulmonary artery pressure and a significant improvement in RV function post targeted thrombolytic therapy. Moreover, pulmonary vascular remodeling and RV remodeling were significantly restricted post targeted thrombolytic therapy. Conclusion: UK-cRGD-Liposome can restrict the progression of PH and improve RV function by targeting the dissolution of pulmonary hypertensive in-situ thrombi, which may provide promising therapeutic approaches for PH.

Effective treatment in lung adenocarcinoma patient with brain metastases harboring novel CLHC1/RNT4 intergenic region- ALK fusion: A case report.

RATIONALE: Anaplastic lymphoma kinase (ALK) fusion, an important oncogenic mutation, occurs in 3% to 7% of non-small cell lung cancer (NSCLC) cases, and EML4 is the most common partner gene. With the widespread application of next-generation sequencing (NGS), more gene breakpoint fusions have been discovered and functional fusion transcripts can provide targeted clinical benefits. PATIENT CONCERNS AND DIAGNOSIS: A 40-year-old woman was diagnosed with lung adenocarcinoma with brain metastases. A novel CLHC1/RNT4 intergenic region, ALK (Exon20-29) (abundance 39.97%), was identified using lung puncture tissue by NGS analysis (Simceredx), and results of immunohistochemistry and fluorescence in situ hybridization confirmed ALK fusion. INTERVENTIONS AND OUTCOMES: The patient was administered oral crizotinib (250 mg bid) combined with endostar (30 mg d1-7) for 12 cycles from June 18, 2020. The patient's condition was controlled, and the curative effect was evaluated as stable disease (SD). Unfortunately, brain magnetic resonance images showed multiple nodules in the left cerebellar hemisphere, and chest computed tomography showed no significant changes in the progression of the disease. Subsequently, alectinib (600 mg bid) was administered on April 1, 2021. Brain lesions were significantly reduced and partial remission (PR) was achieved. No significant changes were observed in the lung lesions. LESSONS: ALK fusion is a risk factor for brain metastasis (BM) in patients with advanced non-small NSCLC patients. In our case, a novel CLHC1/RNT4 intergenic region, ALK fusion, was identified for the first time in a lung adenocarcinoma patient with BM, who benefited from crizotinib and endostar sequential alectinib. Our case highlights the advantages of NGS for fusion detection and provides promising treatment options for NSCLC patients with BM harboring ALK fusions.

DRFnet: Dynamic receptive field network for object detection and image recognition.

Biological experiments discovered that the receptive field of neurons in the primary visual cortex of an animal's visual system is dynamic and capable of being altered by the sensory context. However, in a typical convolution neural network (CNN), a unit's response only comes from a fixed receptive field, which is generally determined by the preset kernel size in each layer. In this work, we simulate the dynamic receptive field mechanism in the biological visual system (BVS) for application in object detection and image recognition. We proposed a Dynamic Receptive Field module (DRF), which can realize the global information-guided responses under the premise of a slight increase in parameters and computational cost. Specifically, we design a transformer-style DRF module, which defines the correlation coefficient between two feature points by their relative distance. For an input feature map, we first divide the relative distance corresponding to different receptive field regions between the target feature point and its surrounding feature points into N different discrete levels. Then, a vector containing N different weights is automatically learned from the dataset and assigned to each feature point, according to the calculated discrete level that this feature point belongs. In this way, we achieve a correlation matrix primarily measuring the relationship between the target feature point and its surrounding feature points. The DRF-processed responses of each feature point are computed by multiplying its corresponding correlation matrix with the input feature map, which computationally equals to accomplish a weighted sum of all feature points exploiting the global and long-range information as the weight. Finally, by superimposing the local responses calculated by a traditional convolution layer with DRF responses, our proposed approach can integrate the rich context information among neighbors and the long-range dependencies of background into the feature maps. With the proposed DRF module, we achieved significant performance improvement on four benchmark datasets for both tasks of object detection and image recognition. Furthermore, we also proposed a new matching strategy that can improve the detection results of small targets compared with the traditional IOU-max matching strategy.

FeSe2 nanosheets as a bifunctional platform for synergistic tumor therapy reinforced by NIR-II light.

Multi-functionality has been a constant pursuit in the development of next-generation drug carriers, as it will bring the potential for combination therapy by integrating diverse therapeutic modes. In this work, FeSe2 nanosheets (NSs) have been prepared as a bifunctional platform to investigate their use in synergistic cancer therapy. Bifunctional FeSe2 NSs exhibit exceptional Fenton-like activity that generates cytotoxic hydroxyl radical (˙OH) and strong broad photothermal performance including the second-infrared (NIR-II) spectral range, wherein the ˙OH production can be enhanced by NIR-II light irradiation. Furthermore, doxorubicin (DOX) was conjugated onto NSs via a pH-responsive hydrazone bond to achieve preferential drug release in an acidic microenvironment. Upon intratumoral administration, these bifunctional drug-carrying FeSe2 NSs showed an NIR-II irradiation-reinforced strong tumor suppression effect, and no obvious toxicity to normal tissues was observed. This study provides a new paradigm for the design of advanced drug carriers relying on their inherent physicochemical properties.

Biomimetic theranostic strategy for anti-metastasis therapy of breast cancer via the macrophage membrane camouflaged superparticles.

The rational design of theranostic systems are critical for addressing challenging issues associated with cancers. Toward this objective, the multifunctional biomimetic superparticle, termed as DOX-QDs-Lip@M, which can specifically deliver drug to tumor and synergistically monitor their therapeutic effects, was fabricated. Initially, anticancer drug doxorubicin hydrochloride (DOX) and imaging agent quaternary quantum dots (QDs) were loaded into the hydrophilic core region and hydrophobic chamber of liposome by self-assembly method, respectively. The integrated nanostructure can greatly increase the fluorescence intensity of signal unit and tremendously improve the diagnostic sensitivity. Subsequently, the biomimetic DOX-QDs-Lip@M was constructed by fusing and coating the isolated macrophage membranes on the surface of liposome, which can consequently extend the circulation of the whole blood and effectively target the tumor sites. Moreover, the naturally formed biofilm can stabilize the artificial liposome structure, which can prevent the leakage of the loaded materials in the liposome. These integrated properties endow the biomimetic DOX-QDs-Lip@M with improved tumor imaging and anti-metastasis treatment in living systems.

Photodynamic therapy combined with temozolomide inhibits C6 glioma migration and invasion and promotes mitochondrial-associated apoptosis by inhibiting sodium-hydrogen exchanger isoform 1.

OBJECTIVE: As a targeted therapeutic technique for glioma inhibition, photodynamic therapy (PDT) has gradually become a focus of basic research related to glioma treatment. The capacity of PDT to kill glioma cells involves varieties of pathways. In glioma cells, activated sodium-hydrogen exchanger isoform 1 (NHE1) can inhibit the cytotoxic effect of temozolomide (TMZ), promote cell migration and invasion, and inhibit cell apoptosis by changing the acid-base equilibrium. The purpose of our study was to explore if PDT combined with TMZ can effectively inhibit glioma cells by influencing NHE1 in vitro. METHODS: We analyzed the expression levels of proteins such as NHE1, ezrin, vimentin, Bcl-2, and Bax by Western blot analysis, we assessed the migration and invasion of rat C6 glioma cells by Transwell assay, and we evaluated C6 cell apoptosis in vitro by flow cytometry. RESULTS: Western blot results indicated that NHE1, ezrin and vimentin were downregulated after cotreatment of C6 cells, and intracellular acidification was detected by a fluorometric intracellular pH assay. The migration and invasion capacities of C6 cells were significantly hindered after cotreatment, as shown by the Transwell assay. Experimental data also revealed a significant increase in cell apoptosis after cotreatment, as detected by flow cytometry; corresponding proapoptotic changes in Bcl-2, Bax and caspase-3 were also observed in vitro. CONCLUSION: These results demonstrate that PDT combined with TMZ can inhibit C6 cell migration and invasion and promote mitochondrial-associated apoptosis by inhibiting NHE1. Therefore, this study provides supporting evidence for a potential method for the treatment of glioma.

A fast and accurate algorithm for diploid individual haplotype reconstruction.

Haplotypes can provide significant information in many research fields, including molecular biology and medical therapy. However, haplotyping is much more difficult than genotyping by using only biological techniques. With the development of sequencing technologies, it becomes possible to obtain haplotypes by combining sequence fragments. The haplotype reconstruction problem of diploid individual has received considerable attention in recent years. It assembles the two haplotypes for a chromosome given the collection of fragments coming from the two haplotypes. Fragment errors significantly increase the difficulty of the problem, and which has been shown to be NP-hard. In this paper, a fast and accurate algorithm, named FAHR, is proposed for haplotyping a single diploid individual. Algorithm FAHR reconstructs the SNP sites of a pair of haplotypes one after another. The SNP fragments that cover some SNP site are partitioned into two groups according to the alleles of the corresponding SNP site, and the SNP values of the pair of haplotypes are ascertained by using the fragments in the group that contains more SNP fragments. The experimental comparisons were conducted among the FAHR, the Fast Hare and the DGS algorithms by using the haplotypes on chromosome 1 of 60 individuals in CEPH samples, which were released by the International HapMap Project. Experimental results under different parameter settings indicate that the reconstruction rate of the FAHR algorithm is higher than those of the Fast Hare and the DGS algorithms, and the running time of the FAHR algorithm is shorter than those of the Fast Hare and the DGS algorithms. Moreover, the FAHR algorithm has high efficiency even for the reconstruction of long haplotypes and is very practical for realistic applications.