Autophagy in dry AMD: A promising therapeutic strategy for retinal pigment epithelial cell damage.

Dry age-related macular degeneration (AMD) is a prevalent clinical condition that leads to permanent damage to central vision and poses a significant threat to patients' visual health. Although the pathogenesis of dry AMD remains unclear, there is consensus on the role of retinal pigment epithelium (RPE) damage. Oxidative stress and chronic inflammation are major contributors to RPE cell damage, and the NOD-like receptor thermoprotein structural domain-associated protein 3 (NLRP3) inflammasome mediates the inflammatory response leading to apoptosis in RPE cells. Furthermore, lipofuscin accumulation results in oxidative stress, NLRP3 activation, and the development of vitelliform lesions, a hallmark of dry AMD, all of which may contribute to RPE dysfunction. The process of autophagy, involving the encapsulation, recognition, and transport of accumulated proteins and dead cells to the lysosome for degradation, is recognized as a significant pathway for cellular self-protection and homeostasis maintenance. Recently, RPE cell autophagy has been discovered to be closely linked to the development of macular degeneration, positioning autophagy as a cutting-edge research area in the realm of dry AMD. In this review, we present an overview of how lipofuscin, oxidative stress, and the NLRP3 inflammasome damage the RPE through their respective causal mechanisms. We summarized the connection between autophagy, oxidative stress, and NLRP3 inflammatory cytokines. Our findings suggest that targeting autophagy improves RPE function and sustains visual health, offering new perspectives for understanding the pathogenesis and clinical management of dry AMD.

[A comparative study of antioxidant active components in different parts of Artemisia argyi by UPLC-ABTS-Q-TOF-MS].

In order to characterize and identify the chemical components in different parts of Artemisia argyi(roots, stems, leaves, and seeds), compounds with antioxidant activity were screened. In this study, ultra-performance liquid chromatography-2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt-quadrupole time-of-flight-tandem mass spectrometry(UPLC-ABTS-Q-TOF-MS) was used as an online combination technique. Poroshell 120 SB-Aq(3.0 mm×150 mm, 2.7 µm) was used as the column, and acetonitrile(A)-0.2% formic acid water(B) was adopted as the mobile phase to perform gradient elution and was scanned in positive and negative ion modes. MassLynx software was utilized, and combined with reference substances and related literature, the chemical components of different parts of A. argyi were identified and compared. The antioxidant active components were detected by using the online detection system, and the antioxidant activities of active components of different parts of A. argyi were compared and evaluated by scavenging efficiency. As a result, a total of 87 compounds were identified from extracts of different parts of A. argyi, and 38, 72, 85, and 33 components were identified from roots, stems, leaves, and seeds. 22 compounds with antioxidant activity were screened, and 14, 17, 20, and 11 compounds with antioxidant activity were identified from roots, stems, leaves, and seeds. The results show that there are certain differences in chemical components and antioxidant components of different parts of A. argyi, which provides data support for the resource utilization and further research and development of A. argyi.

[Identification and expression analysis of members of R2R3-MYB transcription factors family in Artemisia argyi].

The MYB(v-myb avian myeloblastosis viral oncogene homolog) family of transcription factors is the largest class of genes among higher plant transcription factors, which can be divided into four subfamilies, with the R2R3-MYB being the most common subfamily type. R2R3-MYB transcription factors are widely involved in the regulation of organ development and secondary metabolite biosynthesis in plants. To investigate the role of R2R3-MYB family transcription factors in the synthesis of flavonoids and glandular trichome development in Artemisia argyi, this study screened and identified 92 R2R3-MYB transcription factors based on the whole genome data of A. argyi, and predicted their potential functions based on bioinformatics. The results showed that the amino acid lengths of the 92 transcription factors ranged from 168 to 547 aa, with relative molecular weights ranging from 19. 6 to 60. 5 kDa, all of which were hydrophilic proteins. Subcellular localization analysis showed that 89 AaMYB proteins were located in the nucleus, while three proteins were simultaneously located in the nucleus and cytoplasm. According to the classification of Arabidopsis R2R3-MYB family, the 92 A. argyi R2R3-MYB proteins were divided into 26 subfamilies, with similar gene structures within the same subfamily.Cis-acting element prediction results showed that light-responsive elements, methyl jasmonate elements, and abscisic acid elements were widely distributed in the promoter regions of R2R3-MYB genes. Transcriptome expression analysis results showed that the expression of AaMYB60, AaMYB63, and AaMYB86 in leaves was higher than that in stems and roots, indicating that these three transcription factors mainly function in leaves. Additionally, five candidate R2R3-MYB transcription factors involved in A. argyi flavonoid biosynthesis or glandular trichome development were selected through phylogenetic analysis. This study provides important genetic resources for the breeding of superior varieties and germplasm innovation of A. argyi in the future.

Overall metabolic network analysis of urine in hyperlipidemic rats treated with Bidens bipinnata L.

Hyperlipidemia has been highlighted as one of the most prominent and global chronic conditions nowadays. Bidens bipinnata L. (BBL), a folk medicine in contemporary China, has efficacy in the treatment of hyperlipidemia (HLP) in China. Although some physiological and pathological function parameters of hyperlipidemia have been investigated, little information about the changes in small metabolites in biofluids has been reported. In the present study, global metabolic profiling with high-performance liquid chromatography-linear ion trap/Orbitrap high-resolution mass spectrometry (HPLC-LTQ/Orbitrap MS) combined with a pattern recognition method was performed to discover the underlying lipid-regulating mechanisms of BBL on hyperlipidemic rats induced by high-fat diet (HFD). The total of four metabolites, up- or down-regulated (p < 0.05 or 0.01), were identified and contributed to the progression of hyperlipidemia. These promising identified biomarkers underpin the metabolic pathway, including glyoxylate and dicarboxylate metabolism, the TCA cycle, sphingolipid metabolism and purine metabolism. They are disturbed in hyperlipidemic rats, and are identified using pathway analysis with MetPA. The altered metabolite indices could be regulated closer to normal levels after BBL intervention. The results demonstrated that urinary metabolomics is a powerful tool in the clinical diagnosis and treatment of hyperlipidemia to provide information on changes in metabolite pathways.

Therapeutic Peptides for Treatment of Lung Diseases: Infection, Fibrosis, and Cancer.

Various lung diseases endanger people's health. Side effects and pharmaceutical resistance complicate the treatment of acute lung injury, pulmonary fibrosis, and lung cancer, necessitating the development of novel treatments. Antimicrobial peptides (AMPs) are considered to serve as a viable alternative to conventional antibiotics. These peptides exhibit a broad antibacterial activity spectrum as well as immunomodulatory properties. Previous studies have shown that therapeutic peptides including AMPs had remarkable impacts on animal and cell models of acute lung injury, pulmonary fibrosis, and lung cancer. The purpose of this paper is to outline the potential curative effects and mechanisms of peptides in the three types of lung diseases mentioned above, which may be used as a therapeutic strategy in the future.

Tissue distribution and molecular docking research on the active components of Bidens bipinnata L. against hyperlipidemia.

Bidens bipinnata L. is a folk medicinal plant in China that shows significant antihyperlipidemia effectiveness. However, studies of the underlying mechanism study are lacking. In order to explore the potential action sites and the underlying mechanism of treating hyperlipidemic, this work undertook tissue distribution and molecular docking research on the markers of B. bipinnata L., which were obtained through serum pharmacochemistry and network database retrieval. The results showed that seven compounds (gallic acid, protocatechuic acid, rutin, hyperoside, bipinnate polyacetylenicloside, luteolin and quercetin) were screened out as markers. Owing to the diversity of chemical structures, they exhibited an inconsistent trend in tissue distribution. However, all of them had high levels in the liver and no specific distribution in other tissues. More interestingly, seven proteins-HMGCR (1HWK), NR3C1 (4P6W), CYP1A2 (2HI4), RXRA (4PP3), CES1 (1MX1), HSD11B1 (2RBE) and CYP1A1 (4I8V)-showed significant binding affinity with three or more markers, suggesting that they may be the target proteins of B. bipinnata L. This study preliminarily sheds light on the tissue distribution and targets of B. bipinnata L., providing some useful information on the underlying mechanisms of the antihyperlipidemia effect.

[On-line scavenging activity of Huanglian by HPLC-ABTS-DAD-Q-TOF-MS].

The present research aimed to establish an associated two-dimensional fingerprint of Huanglian between characteristic chemical composition and antioxidant activity, which was applied to on-line screen the active constituents. In this study, the HPLC-ABTS-DAD-Q-TOF/MS method, which can simultaneously identify individual components and rapidly screen for antioxidant compounds, was used to screen and identify antioxidant components in Huanglian. Fourteen compositions were discovered, and eight of them displayed antioxidant activity. The antioxidant activity of different ingredients was evaluated by antioxidant efficiency. The data showed that 2, 3, 4-trihydroxy phenylpropionic acid, chlorogenic acid, ferulic acid, cularine, 3-O-feruloylquinic acid and feruloyltyramine showed stronger antioxidant activity than that of alkaloids. These experimental data can provide data support for the basic research of the antioxidant ingredients of Huanglian.

Screening free radical scavengers in Xiexin Tang by HPLC-ABTS-DAD-Q-TOF/MS.

Xiexin Tang (XXT) is a traditional Chinese medicine (TCM) that has been used in herbal clinics for more than 1800 years. Many studies have shown that XXT has therapeutic effects on patients with arteriosclerosis owing to its antioxidant activity. However, there is little information about the relationship between the chemical composition of XXT and its antioxidant activity. In this study, the HPLC-ABTS-DAD-Q-TOF/MS method, which can simultaneously identify individual components and rapidly screen for antioxidant compounds, was used to screen and identify antioxidant components in XXT. The 15 compounds identified were gluco-syringic acid, adenine, gallic acid, biflorin, cularine, 6-C-arabinose-8-C-glucose-chrysin, 6-C-glucose-8-C-arabinose-chrysin, baicalin, rhein-8-O-ß-d-glucopyranoside, coptisine, epiberberine, jatrorrhizine, norwogonin, 5,7,2'-trihydroxy-6- methoxyflavone and baicalein. In addition, the data showed that the antioxidant activity of peaks 4, 6, and 11 was lower in XXT than in its constituent herbs, while the activity of peaks 1, 2, 3, 5, 7, 8, 10, 12, 13, 14 and 15 was higher in XXT. Compound 5 had the strongest antioxidant activity in XXT, while compound 1 showed the strongest antioxidant activity among its constituent herb. The differences between antioxidant activities of major components of XXT and those of its constituent herbs might be due to the interaction of crude drugs that changes the solubility of active components during the decoction process. The results show that the HPLC-ABTS-DAD-Q-TOF/MS method can successfully combine on-line mass spectrometry with activity detection system. It is a useful tool for the rapid detection and identification of antioxidants, and for quantitative analysis of individual antioxidants in complex mixtures such as plant extracts. Furthermore, this method does not require extensive extract purification and fraction collection.

Two new quinochalcone C-glycosides from the florets of Carthamus tinctorius.

Two new quinochalcone C-glycosides, named hydroxysafflor yellow B (1) and hydroxysafflor yellow C (2), along with two known quinochalcone C-glycosides, safflomin C (3) and saffloquinoside C (4), and one known flavanone, (2R)-4',5-dihydroxyl-6, 7-di-O-ß-d-glucopyranosyl flavanone (5), were isolated from the florets of Carthamus tinctorius. Their structures were determined by extensive spectroscopic (UV, IR, HR-ESI-MS, 1D and 2D NMR) analyses. In addition, these quinochalcone C-glycosides together with hydroxysafflor yellow A and anhydrosafflor yellow B were evaluated for their anti-oxidative effects against H2O2-induced cytotoxicity in cultured H9c2 cells. Among them, compound 2 exhibited significant anti-oxidative effects.

[Comparative analysis of the promoting blood effects of the combination of different proportions of danggui and honghua by the principal component analysis and multi-attribute comprehensive index methods].

The combination of Danggui and Honghua (GH) is a popular herb pair commonly used in clinic for the treatment of blood stasis syndrome in China. To evaluate the activating blood circulation and dissipating blood stasis effects of the combination of different proportions of Danggui and Honghua on acute blood stasis rats, and optimize the proportion of GH to have the best activating blood circulation and dissipating blood stasis effect. Acute blood stasis rat model was induced by subcutaneous injection of adrenaline and ice water bath. The blood stasis rats were administrated intragastrically with GH (1 : 0, 4 : 1, 2 : 1, 3 : 2, 1 : 1, 2 : 3, 1: 2, 1 : 4 and 0 : 1) extracts. The whole blood viscosity (WBV), plasma viscosity (PV), and high shear whole blood relative index (HSWBRI), low shear whole blood relative index (LSWBRI), and erythrocyte aggregation index (EAI) were tested to observe the effects of GH on hemorheology of blood stasis rats. And the maximum aggregation induced by adenosine diphosphate (ADP) was tested to observe the effect of GH on platelet aggregation index of blood stasis rats. In addition, the prothrombin time (PT), thrombin time (TT), activated partial thromboplastin time (APTT) and plasma fibrinogen (FIB) were tested to observe the effects of GH on blood coagulation function of blood stasis rats. Then principal component analysis and multi-attribute comprehensive index methods were both used to comprehensively evaluate the total activating blood circulation and dissipating blood stasis effects of GH. The results showed that the hemorheological indexes and coagulation parameters of model group both had significant differences with normal group. Compared with model group, GH (1 : 0, 4 : 1, 2: 1, 3 : 2, 1 : 1, 2 : 3, 1 : 2, 1 : 4 and 0 : 1) could improve all the blood hemorheology indexes and regulate part indexes of blood coagulation function and platelet aggregation in acute blood stasis rats. Based on principal component analysis and multi-attribute comprehensive index methods, GH 1 : 1 and GH 3 : 2 both had the best effect of blood circulation and dissipating blood stasis, and the effect of GH 1 : 1 was slightly better than GH 3 : 2. These results suggest that GH could obviously ameliorate the abnormality of hemorheology and blood coagulation function in acute blood stasis rats. The optimized proportion of GH was consistent with regulations of medicine usage that GH 1 : 1 had the highest frequency used in traditional Chinese formulae. It could provide scientific basis for more effective application of the compatibility between Danggui and Honghua in modern clinic medicine.

[Separation and evaluation of antioxidant constituents from Carthamus tinctorius].

Bio-active components from Carthamus tinctorius were separated on the basis of antioxidant capacities in vitro. The antioxidant capacity was investigated on the basis of the ability to scavenge DPPH radical, ABTS radical and reduce Fe3+ of different polar fractions. Furthermore, the chemical compounds were isolated from bio-active fraction, and were evaluated for the antioxidative effects. Five major components were isolated and identified from water extract as 6-hydroxykaempferol 3,6,7-tri-O-ß-D-glucoside(1), 6-hydroxykaempferol 3-O-ß-rutinoside-6-O-ß-D-glucoside (2), 6-hydroxykaempferol 3-O-ß-D-glucoside (3), hydroxysafflor yellow A (4) and anhydrosafflor yellow B (5). By evaluating and comparing the antioxidative effects of different fractions and obtained compounds, the results showed that water extract displayed significantly high antioxidative activities and 6-hydroxykaempferol glycosides and quinochalcone C-glycosides were found as main contribution for antioxidant property.

[Study on material base of Carthamus tinctorius with antioxidant effect based on selective knock-out].

OBJECTIVE: To establish a method for studying efficacious materials of traditional Chinese medicines from an overall perspective. METHOD: Carthamus tinctorius was taken the example. Its major components were depleted by preparing liquid chromatography. Afterwards, the samples with major components depleted were evaluated for their antioxidant effect, so as to compare and analyze the major efficacious materials of C. tinctorius with antioxidant activity and the contributions. RESULT: Seven major components were depleted from C. tinctorius samples, and six of them were identified with MS data and control comparison. After all of the samples including depleted materials are compared and evaluated for their antioxidant effect, the findings showed that hydroxysafflor yellow A, anhydrosafflor yellow B and 6-hydroxykaempferol-3, 6-di-O-glucoside-7-O-glucuronide were the major efficacious materials. CONCLUSION: This study explored a novel and effective method for studying efficacious materials of traditional Chinese medicines. Through this method, we could explain the direct and indirect contributions of different components to the efficacy of traditional Chinese medicines, and make the efficacious material expression of traditional Chinese medicines clearer.

Integrated Serum Pharmacochemistry, Network Pharmacology, and Molecular Docking to Study the Mechanism of Rhubarb against Atherosclerosis.

BACKGROUND: Atherosclerosis (AS) is a chronic inflammatory disease characterized by the accumulation of lipids, the formation of lesion plaques, and the narrowing of arterial lumens. Rhubarb has significant effects against AS, but there is a lack of analysis and exploration of the mechanism of action of the transitional components in serum containing rhubarb. OBJECTIVE: This work aims to combine serum pharmacochemistry, network pharmacology, and molecular docking to explore active ingredients and mechanism of rhubarb against AS. METHOD: Firstly, the components of rhubarb in blood samples were identified using HPLC-QTOF/MS. The ingredients-targets-disease interaction network of rhubarb was constructed through network pharmacology. Then, molecular docking between the ingredients and the core targets was carried out using the Autodock Vina software. RESULTS: Eleven active ingredients and five metabolites were preliminarily identified. The network pharmacology results showed that chrysophanol, resveratrol, and emodin might have potential pharmacological effects on AS. The PPI network showed that the key proteins were PTGS2, ESR1, PTGS1, and ELANE. GO analysis revealed that genes were mainly enriched in the inflammatory response and response to exogenous stimuli. Moreover, these genes were related to IL-17 signaling pathways, lipid and atherosclerosis, and other pathways. Molecular docking analyses showed that chrysophanol and emodin have strong binding affinities with the target proteins PTGS2 and PTGS1. CONCLUSION: A comprehensive strategy combining serum pharmacochemistry with network pharmacology and molecular docking was employed to investigate the active ingredients and the mechanism of rhubarb in treating AS, which provided a basis for studying the pharmacological effects and action mechanisms of rhubarb.

Retinal light damage: From mechanisms to protective strategies.

Visible light serves as a crucial medium for vision formation.;however, prolonged or excessive exposure to light is recognized as a significant etiological factor contributing to retinal degenerative diseases. The retina, with its unique structure and adaptability, relies on the homeostasis of cellular functions to maintain visual health. Under normal conditions, the retina can mount adaptive responses to various insults, including light-induced damage. Unfortunately, exposure to intense and excessive light triggers a cascade of pathological alterations in retinal photoreceptor cells, pigment epithelial cells, ganglion cells, and glial cells. These alterations encompass disruption of intracellular REDOX and Ca²âº homeostasis, pyroptosis, endoplasmic reticulum stress, autophagy, and the release of inflammatory cytokines, culminating in irreversible retinal damage. We first delineate the mechanisms of retinal light damage through 4 main avenues: mitochondria function, endoplasmic reticulum stress, cell autophagy, and inflammation. Subsequently, we discuss protective strategies against retinal light damage, aiming to guide research toward the prevention and treatment of light-induced retinal conditions.

Ucp4 Knockdown of Cerebellar Purkinje Cells Induces Bradykinesia.

Although uncoupling protein 4 (UCP4) is the most abundant protein reported in the brain, the biological function of UCP4 in cerebellum and pathological outcome of UCP4 deficiency in cerebellum remain obscure. To evaluate the role of Ucp4 in the cerebellar Purkinje cells (PCs), we generated the conditional knockdown of Ucp4 in PCs (Pcp2cre;Ucp4fl/fl mice) by breeding Ucp4fl/fl mice with Pcp2cre mice. Series results by Western blot, immunofluorescent staining, and triple RNAscope in situ hybridization confirmed the specific ablation of Ucp4 in PCs in Pcp2cre;Ucp4fl/fl mice, but did not affect the expression of Ucp2, the analog of Ucp4. Combined behavioral tests showed that Pcp2cre;Ucp4fl/fl mice displayed a characteristic bradykinesia in the spontaneous movements. The electromyogram recordings detection excluded the possibility of hypotonia in Pcp2cre;Ucp4fl/fl mice. And the electrical patch clamp recordings showed the altered properties of PCs in Pcp2cre;Ucp4fl/fl mice. Moreover, transmission electron microscope (TEM) results showed the increased mitochondrial circularity in PCs; ROS probe imaging showed the increased ROS generation in molecular layer; and finally, microplate reader assay showed the significant changes of mitochondrial functions, including ROS, ATP, and MMP in the isolated cerebellum tissue. The results suggested that the specific knockdown of mitochondrial protein Ucp4 could damage PCs possibly by attacking their mitochondrial function. The present study is the first to report a close relationship between UCP4 deletion with PCs impairment, and suggests the importance of UCP4 in the substantial support of mitochondrial function homeostasis in bradykinesia. UCP4 might be a therapeutic target for the cerebellar-related movement disorder.

Chemical and biological properties of quinochalcone C-glycosides from the florets of Carthamus tinctorius.

Quinochalcone C-glycosides are regarded as characteristic components that have only been isolated from the florets of Carthamus tinctorius. Recently, quinochalcone C-glycosides were found to have multiple pharmacological activities, which has attracted the attention of many researchers to explore these compounds. This review aims to summarize quinochalcone C-glycosides' physicochemical properties, chromatographic behavior, spectroscopic characteristics, as well as their biological activities, which will be helpful for further study and development of quinochalcone C-glycosides.

[Research of Chinese medicine pairs (VIII)--Salviae Miltiorrhizae Radix et Rhizoma-Carthami flos].

Salviae Miltiorrhizae Radix et Rhizoma-Carthami Flos is a famous Chinese medicine pair (CMP). Salviae Miltiorrhizae Radix et Rhizoma can promote blood circulation for removing blood stasis, and Carthami Flos can promote blood circulation for removing meridian obstruction and remove blood stasis for relieving pain. The two herbs are important TCMs for activating blood. Danhong injection is the classic application of the two herbs compatibility, which was made from Salviae Miltiorrhizae Radix et Rhizoma and Carthami Flos with scientific formalation by extraction and refining. The CMP is used for treatement of organ flood insufficiency and ischemic infarction diseases. It can obviously relieving symptoms of angina pectoris, improve myocardial ischemia, regress atherosclerosis plaque, and inhibit thrombus. This paper elaberated the bio-active constituents, compatibility effects and action mechanism, and clinical applications of the CMP in order to further upgrade basic research and application levels of the CMP.

Meshed neuronal mitochondrial networks empowered by AI-powered classifiers and immersive VR reconstruction.

Mitochondrial networks are defined as a continuous matrix lumen, but the morphological feature of neuronal mitochondrial networks is not clear due to the lack of suitable analysis techniques. The aim of the present study is to develop a framework to capture and analyze the neuronal mitochondrial networks by using 4-step process composed of 2D and 3D observation, primary and secondary virtual reality (VR) analysis, with the help of artificial intelligence (AI)-powered Aivia segmentation an classifiers. In order to fulfill this purpose, we first generated the PCs-Mito-GFP mice, in which green fluorescence protein (GFP) could be expressed on the outer mitochondrial membrane specifically on the cerebellar Purkinje cells (PCs), thus all mitochondria in the giant neuronal soma, complex dendritic arborization trees and long projection axons of Purkinje cells could be easily detected under a laser scanning confocal microscope. The 4-step process resolved the complicated neuronal mitochondrial networks into discrete neuronal mitochondrial meshes. Second, we measured the two parameters of the neuronal mitochondrial meshes, and the results showed that the surface area (µm2) of mitochondrial meshes was the biggest in dendritic trees (45.30 ± 53.21), the smallest in granular-like axons (3.99 ± 1.82), and moderate in soma (27.81 ± 22.22) and silk-like axons (17.50 ± 15.19). These values showed statistically different among different subcellular locations. The volume (µm3) of mitochondrial meshes was the biggest in dendritic trees (9.97 ± 12.34), the smallest in granular-like axons (0.43 ± 0.25), and moderate in soma (6.26 ± 6.46) and silk-like axons (3.52 ± 4.29). These values showed significantly different among different subcellular locations. Finally, we found both the surface area and the volume of mitochondrial meshes in dendritic trees and soma within the Purkinje cells in PCs-Mito-GFP mice after receiving the training with the simulating long-term pilot flight concentrating increased significantly. The precise reconstruction of neuronal mitochondrial networks is extremely laborious, the present 4-step workflow powered by artificial intelligence and virtual reality reconstruction could successfully address these challenges.

Comprehensive analysis of resistance mechanisms to EGFR-TKIs and establishment and validation of prognostic model.

PURPOSE: Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are the first-line therapy for patients with lung adenocarcinoma (LUAD) harboring activating EGFR mutations. However, the emergence of drug resistance to EGFR-TKIs remains a critical obstacle for successful treatment and is associated with poor patient outcomes. The overarching objective of this study is to apply bioinformatics tools to gain insights into the mechanisms underlying resistance to EGFR-TKIs and develop a robust predictive model. METHODS: The genes associated with gefitinib resistance in the LUAD cell Gene Expression Omnibus (GEO) database were identified using gene chip expression data. Functional enrichment analysis, gene set enrichment analysis (GSEA), and immune infiltration analysis were performed to comprehensively explore the mechanism of gefitinib resistance. Furthermore, a GRRG_score was constructed by integrating genes related to LUAD prognosis from The Cancer Genome Atlas (TCGA) database with the screened Gefitinib Resistant Related differentially expressed genes (GRRDEGs) using the Least Absolute Shrinkage and Selection Operator (LASSO) and Cox regression analyses. Furthermore, we conducted an in-depth analysis of the tumor microenvironment (TME) features and their association with immune infiltration between different GRRG_score groups. A prognostic model for LUAD was developed based on the GRRG_score and validated. The HPA database was used to validate protein expression. The CTR-DB database was utilized to validate the results of drug therapy prediction based on the relevant genes. RESULTS: A total of 110 differentially expression genes were identified. Pathway enrichment analysis of DEGs showed that the differentially expressed genes were mainly enriched in Mucin type O-glycan biosynthesis, Cytokine-cytokine receptor interaction, Sphingolipid metabolism. Gene set enrichment analysis showed that biological processes strongly correlated with gefitinib resistance were cell proliferation and immune-related pathways, EPITHELIAL_MESENCHYMAL_TRANSITION, APICAL_SURFACE, and APICAL_JUNCTION were highly expressed in the drug-resistant group; KRAS_SIGNALING_DN, HYPOXIA, and HEDGEHOG_SIGNALING were highly expressed in the drug-resistant group. The GRRG_score was constructed based on the expression levels of 13 genes, including HSPA2, ATP8B3, SPOCK1, EIF6, NUP62CL, BCAR3, PCSK9, NT5E, FLNC, KRT8, FSCN1, ANGPTL4, and ID1. We further screened and validated two key genes, namely, NUP62CL and KRT8, which exhibited predictive value for both prognosis and drug resistance. CONCLUSIONS: Our study identified several novel GRRDEGs and provided insight into the underlying mechanisms of gefitinib resistance in LUAD. Our results have implications for developing more effective treatment strategies and prognostic models for LUAD patients.

Development and Validation of a Machine Learning-Based Radiomics Model on Cardiac Computed Tomography of Epicardial Adipose Tissue in Predicting Characteristics and Recurrence of Atrial Fibrillation.

Purpose: This study aimed to evaluate the feasibility of differentiating the atrial fibrillation (AF) subtype and preliminary explore the prognostic value of AF recurrence after ablation using radiomics models based on epicardial adipose tissue around the left atrium (LA-EAT) of cardiac CT images. Method: The cardiac CT images of 314 patients were collected wherein 251 and 63 cases were randomly enrolled in the training and validation cohorts, respectively. Mutual information and the random forest algorithm were used to screen for the radiomic features and construct the radiomics signature. Radiomics models reflecting the features of LA-EAT were built to differentiate the AF subtype, and the multivariable logistic regression model was adopted to integrate the radiomics signature and volume information. The same methodology and algorithm were applied to the radiomic features to explore the ability for predicting AF recurrence. Results: The predictive model constructed by integrating the radiomic features and volume information using a radiomics nomogram showed the best ability in differentiating AF subtype in the training [AUC, 0.915; 95% confidence interval (CI), 0.880-0.951] and validation (AUC, 0.853; 95% CI, 0.755-0.951) cohorts. The radiomic features have shown convincible predictive ability of AF recurrence in both training (AUC, 0.808; 95% CI, 0.750-0.866) and validation (AUC, 0.793; 95% CI, 0.654-0.931) cohorts. Conclusions: The LA-EAT radiomic signatures are a promising tool in the differentiation of AF subtype and prediction of AF recurrence, which may have clinical implications in the early diagnosis of AF subtype and disease management.