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Mei Xiao,1 Guangwen Luo,1 Zhaowei Zhang,1 Yanfen Liu,2 Rui Gong,3 Jianghuan Ke1 1Department of Pharmacy, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, 321000, People’s Republic of China; 2Department of Endocrinology and Metabolism, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, 321000, People’s Republic of China; 3Department of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, 321000, People’s Republic of ChinaCorrespondence: Guangwen Luo, Department of pharmacy, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, 321000, People’s Republic of China, Tel +86-0579-82552760, Email lgw2018@126.comPurpose: To investigate the correlation between thyroid-related hormones and diabetic retinopathy (DR) in euthyroid patients with type 2 diabetes mellitus (T2DM).Patients and Methods: Patients with T2DM admitted to our hospital between January 2023 and June 2023 were retrospectively analyzed. The patients were divided into DR and non-diabetic retinopathy (NDR) groups according to whether DR occurred. Thyroid function-related hormones (TSH, FT3, and FT4), blood glucose indices (FBG and HbA1c), and blood lipid indices (HDL-C, LDL-C, TC, and TG) of the two groups were analyzed by univariate and multivariate logistic regression to explore the risk factors for DR. Pearson correlation analysis and multiple stepwise regression analysis were used to investigate the correlation of TSH or FT3 with FBG, HbA1c, and TG in DR patients.Results: Of the 286 patients with T2DM included in this study, 101 (35.31%) developed DR and 185 (64.69%) did not. High TG, FBG, HbA1c, and TSH and low FT3 levels were independent risk factors for DR in T2DM patients. TSH positively correlated with TG, whereas FT3 negatively correlated with TG and HbA1c in T2DM patients with DR.Conclusion: Higher TSH and lower FT3 in T2DM patients with normal thyroid function may affect glucose and lipid metabolism, thereby increasing the risk of DR.Keywords: type 2 diabetes mellitus, diabetic retinopathy, thyroid-stimulating hormone, free triiodothyronine, glucose and lipid metabolism

A hallmark of many unconventional superconductors is the presence of many-body interactions that give rise to broken-symmetry states intertwined with superconductivity. Recent resonant soft X-ray scattering experiments report commensurate 3a0 charge density wave order in infinite-layer nickelates, which has important implications regarding the universal interplay between charge order and superconductivity in both cuprates and nickelates. Here we present X-ray scattering and spectroscopy measurements on a series of NdNiO2+x samples, which reveal that the signatures of charge density wave order are absent in fully reduced, single-phase NdNiO2. The 3a0 superlattice peak instead originates from a partially reduced impurity phase where excess apical oxygens form ordered rows with three-unit-cell periodicity. The absence of any observable charge density wave order in NdNiO2 highlights a crucial difference between the phase diagrams of cuprate and nickelate superconductors.

Introduction: Breast cancer (BC) is a prevailing malignancy among women, and its inconspicuous development contributes significantly to mortality. The RNA N6-methyladenosine (m6A) modification represents an emerging mechanism for gene expression regulation, with the active involvement of the YTH N6-methyladenosine RNA binding protein 3 (YTHDF3) in tumor progression across multiple cancer types. Nonetheless, its precise function in breast cancer necessitates further investigation. Methods: The expression of YTHDF3 in both cell lines and patient tissues was examined using Western blotting, reverse transcription quantitative PCR (RT-qPCR), and immunohistochemistry (IHC) techniques. Bioinformatics analysis of methylated RNA immunoprecipitation sequencing (MeRIP-seq) and transcriptome RNA sequencing (RNA-seq) data was employed to screen for the target genes of YTHDF3. The main focus of this study was to investigate the in vitro biological functions of YTHDF3. The specific binding of YTHDF3 to its target genes and its correlation with m6A methylation were studied through RNA pull-down, RNA immunoprecipitation, and co-immunoprecipitation experiments. The protein regulatory mechanisms of downstream genes of YTHDF3 were assessed using protein stability analysis. Furthermore, the biological functions of YTHDF3 and its target genes in breast cancer cells were validated through CRISPR-Cas9 technology and rescue experiments. Results: By constructing a risk model using the TCGA database, YTHDF3 was identified as a high-risk factor among m6A methylation factors. Subsequent investigations revealed its elevated expression in various subtypes of breast cancer, accompanied by poor prognosis. MeRIP-seq analysis further revealed fibroblast growth factor 2 (FGF2) as a downstream gene of YTHDF3. Knockdown of YTHDF3 in breast cancer cells led to significant inhibition of cell self-renewal, migration, and invasion abilities in vitro. Mechanistically, YTHDF3 specifically recognized the methylated transcript of FGF2 within its coding sequence (CDS) region, leading to the inhibition of FGF2 protein degradation. Moreover, depletion of FGF2 markedly suppressed the biological functions of breast cancer cells, while reducing FGF2 expression in YTHDF3-overexpressing breast cancer cell lines substantially alleviated the malignant progression. Conclusions: In summary, our study elucidates the role of YTHDF3 as an oncogene in maintaining FGF2 expression in BC cells through anm6A-dependent mechanism. Additionally, we provide a potential biomarker panel for prognostic prediction in BC. [ABSTRACT FROM AUTHOR]

Introduction: Breast cancer (BC) is a prevailing malignancy among women, and its inconspicuous development contributes significantly to mortality. The RNA N6-methyladenosine (m6A) modification represents an emerging mechanism for gene expression regulation, with the active involvement of the YTH N6-methyladenosine RNA binding protein 3 (YTHDF3) in tumor progression across multiple cancer types. Nonetheless, its precise function in breast cancer necessitates further investigation. Methods: The expression of YTHDF3 in both cell lines and patient tissues was examined using Western blotting, reverse transcription quantitative PCR (RT-qPCR), and immunohistochemistry (IHC) techniques. Bioinformatics analysis of methylated RNA immunoprecipitation sequencing (MeRIP-seq) and transcriptome RNA sequencing (RNA-seq) data was employed to screen for the target genes of YTHDF3. The main focus of this study was to investigate the in vitro biological functions of YTHDF3. The specific binding of YTHDF3 to its target genes and its correlation with m6A methylation were studied through RNA pull-down, RNA immunoprecipitation, and co-immunoprecipitation experiments. The protein regulatory mechanisms of downstream genes of YTHDF3 were assessed using protein stability analysis. Furthermore, the biological functions of YTHDF3 and its target genes in breast cancer cells were validated through CRISPR-Cas9 technology and rescue experiments. Results: By constructing a risk model using the TCGA database, YTHDF3 was identified as a high-risk factor among m6A methylation factors. Subsequent investigations revealed its elevated expression in various subtypes of breast cancer, accompanied by poor prognosis. MeRIP-seq analysis further revealed fibroblast growth factor 2 (FGF2) as a downstream gene of YTHDF3. Knockdown of YTHDF3 in breast cancer cells led to significant inhibition of cell self-renewal, migration, and invasion abilities in vitro. Mechanistically, YTHDF3 specifically recognized the methylated transcript of FGF2 within its coding sequence (CDS) region, leading to the inhibition of FGF2 protein degradation. Moreover, depletion of FGF2 markedly suppressed the biological functions of breast cancer cells, while reducing FGF2 expression in YTHDF3-overexpressing breast cancer cell lines substantially alleviated the malignant progression. Conclusions: In summary, our study elucidates the role of YTHDF3 as an oncogene in maintaining FGF2 expression in BC cells through an m6A-dependent mechanism. Additionally, we provide a potential biomarker panel for prognostic prediction in BC. [ABSTRACT FROM AUTHOR]

Objective To explore the effectiveness of failure mode and effect analysis (FMEA) combined with risk assessment tracking in the management of arthroscopic day surgery instruments. Methods To conduct FMEA for each link of arthroscopic day surgery instruments management process, select the failure mode of priority risk value (RPN)> 125, conduct cause analysis, and formulate improvement measures from the aspects of device information tracking, standardized equipment, fine management, and implement risk assessment tracking management. The RPN value, maintenance rate of surgery instruments, accuracy qualification rate of surgical instruments and turnover time of emergency instruments were measured for effectiveness analysis. Results Five major failure modes were determined by FMEA activity, the priority risk values of all major failure modes decreased after activity than before implementation, with a significant difference(P

The teaching of vocal singing in colleges and universities needs to create a teaching environment that is both interesting and knowledgeable for students, and continuously improve their aesthetic ability and comprehensive quality. Based on the ARCS model, this paper designs the structure of the SPOC teaching platform and establishes the teaching mode of vocal singing flipped classroom based on the original folk songs in the cultural tourism industry as the main source of teaching resources. A multiple linear regression model is chosen to analyze the influencing factors of the teaching quality of vocal singing flipped classrooms, and the least squares estimation of the regression model is used to decompose the singular value. For the vocal singing flipped classroom teaching model established in this paper, a multiple linear regression model was established by choosing teaching content, teaching environment, and teaching method as explanatory variables, and the validity was verified in terms of benchmark regression and teaching practice. The results show that teaching content, teaching environment, and teaching method are all significant at a 1% level on the teaching quality of vocal singing flipped classroom, and the fitting value of the three is 0.7856, and the singing emotion expression scores of the students in the group with serious singing problems before and after the teaching experiment have been improved by 6.11 points as a whole. Enhancing students’ aesthetic abilities and emotional expression can be achieved through teaching vocal singing based on aesthetic elements.

Fusarium wilt of banana, caused by Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4), is a widely distributed soilborne disease that poses a serious threat to banana production. Many control measures have been implemented but have not been effective. Here, we evaluated a combined strategy for Fusarium wilt control that involves a biological agent (Bacillus velezensis strain EB1) and a bioactive compound (potassium sorbate). Our results showed that potassium sorbate inhibited Foc TR4 in a dose-dependent manner. Potassium sorbate did not limit the growth of EB1 in vitro; instead, it promoted the growth and antagonistic ability of EB1 by upregulating the expression of antagonism-related genes. In greenhouse experiments, the combined application of EB1 and potassium sorbate significantly reduced the disease index of Fusarium wilt by suppressing fungal growth in the roots and promoting plant growth. Overall, our results demonstrated that potassium sorbate and B. velezensis EB1 can be used together for the sustainable management of banana Fusarium wilt., (© 2024. The Author(s).)

The lactation-pregnancy overlap in the industrialized 49-day breeding model increases nutritional demands for lactating-pregnant rabbit does. This study examined the effects of folic acid (FA) on the production performance and intestinal microflora of does with different litter size (LS, or number of kits). A total of 144 third-parity Hyplus does, aged 11 months and weighing approximately 5.00 ± 0.07 kg, were divided four treatment groups: control group (basal diet) and FA groups (basal diet + 15, 30, and 45 mg/kg FA). Does with LS of 5, 7, and 9 were slected after weaning. Our findings revealed that 1) Increased FA supplementation initially increased and then decreased the pre-lactation body weight of 21-day-old kits and prolactin (PRL) level of does, while showing an inverse trend for estrogen (E) level of does. Increased LS significantly (P < 0.05) correlated with reduced milk yield of does. There was a significant (P < 0.05) interaction between FA and LS affecting PRL, E, growth hormone (GH) levels of does, and the pre-lactation body weight of 21-day-old kits. 2) Increased FA supplementation initially increased and then decreased the post-lactation body weight of 21-day-old and 35-day-old kits, elevated plasma folic acid (PFA) level of does, and significantly (P < 0.05) impacted the pregnancy rate of does. Increased LS was associated with reduced post-lactation body weight in 21-day-old and 35-day-old kits (P < 0.05). There was a significant (P < 0.05) interaction between FA and LS affecting plasma insulin-like growth factor-1 (IGF-1), homocysteine (HCY), PFA levels of does, post-lactation body weight of 21-day-old kits, and weaning body weight of 35-day-old kits. 3) FA supplementation promoted the growth of Ruminococcaceae and Rikenella&#95;RC9&#95;gut&#95;group in feces of does, indicating enhanced anti-inflammatory capabilities and crude fiber (CF) breakdown. In summary, FA supplementation improved conception rates, regulated lactation-related hormone synthesis and secretion, increased body weight of 21-day-old kits, and enhanced intestinal anti-inflammatory functions., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Objective: To examine the mechanism of action of tanshinone II A (Tan II A) in promoting chemosensitization of osteosarcoma cells to cisplatin (DDP)., Methods: The effects of different concentrations of Tan II A (0-80 µ mol/L) and DDP (0-2 µ mol/L) on the proliferation of osteosarcoma cell lines (U2R, U2OS, 143B, and HOS) at different times were examined using the cell counting kit-8 and colony formation assays. Migration and invasion of U2R and U2OS cells were detected after 24 h treatment with 30 µ mol/L Tan II A, 0.5 µ mol/L DDP alone, and a combination of 10 µ mol/L Tan II A and 0.25 µ mol/L DDP using the transwell assay. After 48 h of treatment of U2R and U2OS cells with predetermined concentrations of each group of drugs, the cell cycle was analyzed using a cell cycle detection kit and flow cytometry. After 48 h treatment, apoptosis of U2R and U2OS cells was detected using annexin V-FITC apoptosis detection kit and flow cytometry. U2R cells were inoculated into the unilateral axilla of nude mice and then the mice were randomly divided into 4 groups of 6 nude mice each. The 4 groups were treated with equal volume of Tan II A (15 mg/kg), DDP (3 mg/kg), Tan II A (7.5 mg/kg) + DDP (1.5 mg/kg), and normal saline, respectively. The body weight of the nude mice was weighed, and the tumor volume and weight were measured. Cell-related gene and signaling pathway expression were detected by RNA sequencing and Kyoto Encyclopedia of Genes and Genomes pathway analysis. p38 MAPK signaling pathway proteins and apoptotic protein expressions were detected by Western blot., Results: In vitro studies have shown that Tan II A, DDP and the combination of Tan II A and DDP inhibit the proliferation, migration and invasion of osteosarcoma cells. The inhibitory effect was more pronounced in the Tan II A and DDP combined treatment group (P<0.05 or P<0.01). Osteosarcoma cells underwent significantly cell-cycle arrest and cell apoptosis by Tan II A-DDP combination treatment (P<0.05 or P<0.01). In vivo studies demonstrated that the Tan II A-DD combination treatment group significantly inhibited tumor growth compared to the Tan II A and DDP single drug group (P<0.01). Additionally, we found that the combination of Tan II A and DDP treatment enhanced the p38 MAPK signaling pathway. Western blot assays showed higher p-p38, cleaved caspase-3, and Bax and lower caspase-3, and Bcl-2 expressions with the combination of Tan II A and DDP treatment compared to the single drug treatment (P<0.01)., Conclusion: Tan II A synergizes with DDP by activating the p38/MAPK pathway to upregulate cleaved caspase-3 and Bax pro-apoptotic gene expressions, and downregulate caspase-3 and Bcl-2 inhibitory apoptotic gene expressions, thereby enhancing the chemosensitivity of osteosarcoma cells to DDP., (© 2024. The Chinese Journal of Integrated Traditional and Western Medicine Press and Springer-Verlag GmbH Germany, part of Springer Nature.)

Heterogeneous nuclear ribonucleoprotein AB (hnRNPAB) is considered a cancer-promoting heterogeneous nuclear ribonucleoprotein in many cancers, but its function in pancreatic ductal adenocarcinoma (PDAC) is poorly understood. hnRNPAB was highly expressed in PDAC tissues compared with normal pancreatic tissues, and high expression of hnRNPAB was associated with poor overall survival and recurrence-free survival in patients with PDAC. hnRNPAB promotes migration and invasion of PDAC cells in vitro. In xenograft tumor mouse models, hnRNPAB deprivation significantly attenuated liver metastasis. hnRNPAB mRNA and protein levels are positively associated with MYC in PDAC cells. Mechanistically, hnRNPAB bound to MYC mRNA and prolonged its half-life. hnRNPAB induced PDAC cells to secrete CXCL8 via MYC, which promoted neutrophil recruitment and facilitated tumor cells entrancing into the hepatic parenchyma. These findings point to a novel regulatory mechanism via which hnRNPAB promotes PDAC metastasis. Implications: hnRNPAB participates in the posttranscriptional regulation of the oncogene MYC by binding and stabilizing MYC mRNA, thereby promoting liver metastasis in PDAC., (©2024 American Association for Cancer Research.)

LC3-associated phagocytosis (LAP) is a distinct type of autophagy that involves the sequestration of extracellular material by phagocytes. Beyond the removal of dead cells and cellular debris from eukaryotic cells, LAP is also involved in the removal of a variety of pathogens, including bacteria, fungi, and viruses. These events are integral to multiple physiological and pathological processes, such as host defense, inflammation, and tissue homeostasis. Dysregulation of LAP has been associated with the pathogenesis of several human diseases, including infectious diseases, autoimmune diseases, and neurodegenerative diseases. Thus, understanding the molecular mechanisms underlying LAP and its involvement in human diseases may provide new insights into the development of novel therapeutic strategies for these conditions. In this review, we summarize and highlight the current consensus on the role of LAP and its biological functions in disease progression to propose new therapeutic strategies. Further studies are needed to illustrate the precise role of LAP in human disease and to determine new therapeutic targets for LAP-associated pathologies., (© 2024 Federation of American Societies for Experimental Biology.)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a member of the genus Betacoronavirus (subgenus Sarbecovirus) and shares significant genomic and phylogenetic similarities with severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1). SARS-CoV-2 infection occurs through membrane fusion between the virus and host cell membranes, which is facilitated by the spike glycoprotein subunit 2 (S2). The folding of three heptad-repeat regions 1 (HR1) into a central trimeric core structure, along with the binding of three heptad-repeat regions 2 (HR2) in an antiparallel manner within the groove formed between the HR1 regions, which provides the driving force for membrane fusion. In this study, trimeric and monomeric six-helix bundles (6HB) were created by combining various truncations of the sequences from SARS-CoV-2 HR1 and HR2. In addition, monomeric five-helix bundles (5HB) were constructed using a similar method. Finally, we demonstrated a protein mimic, 5HB&#95;V1 (from SARS-CoV-1), that exhibits activity in inhibiting SARS-CoV-2. These findings suggest a strategy to design monomeric 6HB and 5HB based on the SARS-CoV-2 fusion core: maintain the flanking sequences outside the α-helix region in HR2 and introduce point mutations to enhance hydrogen bonding between the helix bundles. The 5HB could be a target for designing new inhibitors against SARS-CoV-1 and SARS-CoV-2., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Characterizing the anatomical structure and connectivity between cortical regions is a critical step towards understanding the information processing properties of the brain and will help provide insight into the nature of neurological disorders. A key feature of the mammalian cerebral cortex is its laminar structure. Identifying these layers in neuroimaging data is important for understanding their global structure and to help understand the connectivity patterns of neurons in the brain. We studied Nissl-stained and myelin-stained slice images of the brain of the common marmoset (Callithrix jacchus), which is a new world monkey that is becoming increasingly popular in the neuroscience community as an object of study. We present a novel computational framework that first acquired the cortical labels using AI-based tools followed by a trained deep learning model to segment cerebral cortical layers. We obtained a Euclidean distance of 1274.750 ± 156.400 μ m for the cortical labels acquisition, which was in the acceptable range by computing the half Euclidean distance of the average cortex thickness ( 1800.630 μ m ). We compared our cortical layer segmentation pipeline with the pipeline proposed by Wagstyl et al. (PLoS biology, 18(4), e3000678 2020) adapted to 2D data. We obtained a better mean 95 th percentile Hausdorff distance (95HD) of  92.150 μ m . Whereas a mean 95HD of  94.170 μ m was obtained from Wagstyl et al. We also compared our pipeline's performance against theirs using their dataset (the BigBrain dataset). The results also showed better segmentation quality, 85.318 % Jaccard Index acquired from our pipeline, while 83.000 % was stated in their paper., (© 2024. The Author(s).)

Introduction: Coronary artery disease (CAD) is an important public health problem with negative impacts on individual health and socioeconomics. Studies on the relationship of dietary vitamin A (DVA) to CAD are limited and conflicting. The purpose of this study was to investigate the relationship between DVA and the prevalence of CAD in U.S. adults, with particular interest in sex differences., Methods: Data from 26,449 NHANES participants were used for analysis. The association of DVA with the prevalence of CAD was investigated utilizing multivariate logistic regression models and fitted smoothed curves, and interaction tests were performed to explore potential modifiers., Results: This study included 12,748 males and 13,701 females aged 50.34 ± 17.54 years. Overall, adjusted DVA was linearly negatively correlated with CAD (per natural ln (DVA) increment: OR 0.91, 95% CI 0.83-0.99). Multivariate regression analysis showed that among female participants, each natural increment of ln DVA was associated with a 22% reduction in CAD prevalence (OR 0.78, 95% CI 0.68-0.89). However, there was no significant correlation in male participants ( p for interaction <0.001)., Conclusion: DVA was negatively associated with the prevalence of CAD, and further analysis revealed an interaction between DVA and sex in terms of CAD prevalence., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wu, Yang, Fang, Chen, Wu and Gong.)

The aging process of microplastics (MPs) affects their surface physicochemical properties, thereby influencing their behaviors in releasing harmful chemicals, adsorption of organic contaminants, sinking, and more. Understanding the aging process is crucial for evaluating MPs' environmental behaviors and risks, but tracing the aging process remains challenging. Here, we propose a multimodal deep learning model to trace typical aging factors of aged MPs based on MPs' physicochemical characteristics. A total of 1353 surface morphology images and 1353 Fourier transform infrared spectroscopy spectra were achieved from 130 aged MPs undergoing different aging processes, demonstrating that physicochemical properties of aged MPs vary from aging processes. The multimodal deep learning model achieved an accuracy of 93% in predicting the major aging factors of aged MPs. The multimodal deep learning model improves the model's accuracy by approximately 5-20% and reduces prediction bias compared to the single-modal model. In practice, the established model was performed to predict the major aging factors of naturally aged MPs collected from typical environment matrices. The prediction results aligned with the aging conditions of specific environments, as reported in previous studies. Our findings provide new insights into tracing and understanding the plastic aging process, contributing more accurately to the environmental risk assessment of aged MPs.

Nylon fibers have great potentials in smart textiles due to their excellent wear resistance, resilience, and chemical stability, whereas poor combination between nylon fibers and conductive materials causes discontinuous signal capture. In this work, nylon fibers/di-aldehyde cellulose nanocrystals/polypyrrole (NFACP) biosensors with robust scrub-resistant and signal-capture ability were fabricated by interfacial multiple covalent reactions. The best NFACP 0.2 biosensor exhibited high conductivity (354 S/m), robust mechanical strength and stretching-releasing dynamic durability. Especially, its textile sensors still possessed high sensitivity and excellent sensing performance after repeated washing and friction. Moreover, NFACP 0.2 biosensor can be designed into various multifunctional health monitoring and security warning systems for "stress reducing exercise" enthusiasts, high-altitude activities, and deep-sea exploration, demonstating great potentials of conductive nylon fiber biosensor in flexible electronics., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

The E-cadherin-β-catenin-αE-catenin (cadherin-catenin) complex couples the cytoskeletons of neighboring cells at adherens junctions (AJs) to mediate force transmission across epithelia. Mechanical force and auxiliary binding partners converge to stabilize the cadherin-catenin complex's inherently weak binding to actin filaments (F-actin) through unclear mechanisms. Here we show that afadin's coiled-coil (CC) domain and vinculin synergistically enhance the cadherin-catenin complex's F-actin engagement. The cryo-EM structure of an E-cadherin-β-catenin-αE-catenin-vinculin-afadin-CC supra-complex bound to F-actin reveals that afadin-CC bridges adjacent αE-catenin actin-binding domains along the filament, stabilizing flexible αE-catenin segments implicated in mechanical regulation. These cooperative binding contacts promote the formation of supra-complex clusters along F-actin. Additionally, cryo-EM variability analysis links supra-complex binding along individual F-actin strands to nanoscale filament curvature, a deformation mode associated with cytoskeletal forces. Collectively, this work elucidates a mechanistic framework by which vinculin and afadin tune cadherin-catenin complex-cytoskeleton coupling to support AJ function across varying mechanical regimes., Competing Interests: Declaration of Interests The authors declare no competing interests.

This study investigates the role of S100A9 in sepsis-associated AKI (SA-AKI) through the lens of pyroptosis, a controlled form of cell death mediated by the gasdermin protein family. Using C57BL/6 mice and S100A9 knockout mice subjected to cecal ligation and puncture (CLP), RNA sequencing and bioinformatics analyses revealed differentially expressed genes (DEGs) related to inflammation and immune responses, with notable upregulation of S100A9. Functional enrichment analyses (GO and KEGG) indicated these DEGs are involved in interferon-beta response, immune processes, and cell adhesion. Protein-protein interaction (PPI) network analyses further emphasized S100A9's pivotal role in SA-AKI.Clinical validation measured S100A9 levels in serum and urine samples from SA-AKI patients and healthy volunteers, finding elevated S100A9 levels in the former. In vivo experiments showed that S100A9 knockout mice exhibited reduced kidney injury and inflammation, indicated by lower serum creatinine, urea nitrogen, and inflammatory markers (IL-1β and IL-18). Histopathological analyses and immunohistochemistry confirmed less renal damage and reduced expression of cleaved IL-1β and GSDMD-N in S100A9-deficient mice. Electron microscopy and Western blotting validated that S100A9 deficiency mitigates caspase-1-dependent pyroptosis.Cellular experiments with HK-2 cells demonstrated that S100A9 knockdown alleviated LPS-induced cell damage and reduced pyroptosis markers. These findings illuminate S100A9's involvement in NLRP3 inflammasome activation and pyroptosis, suggesting potential therapeutic targets for SA-AKI. Targeting S100A9 may offer new therapeutic avenues, improving outcomes for sepsis-related kidney injury patients. Future research should aim to validate these findings in larger clinical settings., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

The activities of appetite-regulated neurons-ARC AGRP neurons-are modulated by multi-level feedback signals during feeding. In this issue of Neuron, Aitken et al. 1 expand our understanding of the feedback control within feeding circuits, revealing that food taste signals can causally and precisely regulate meal patterns through ARC AGRP neurons., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Identifying modifiable risk factors is essential for the prevention of skin cancer; however, establishing causality can be challenging in conventional epidemiological studies. This study aimed to determine the causal associations of potentially modifiable risk factors with skin cancer using Mendelian randomization (MR)., Methods: Genetic instruments for 53 risk factors, including socioeconomic status, dietary and lifestyle factors, anthropometric measures, medication use, and comorbidities, were identified from previous genome-wide association studies. Two-sample MR analyses were performed using summary statistics for three major types of skin cancer: melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Findings were verified using multiple MR methods under different assumptions and replication datasets., Results: Genetic liability to sunburn occasions, actinic keratosis, and prior skin cancers was associated with a higher risk of all three types of skin cancer, whereas genetic liability to vitiligo was associated with a lower risk. For specific skin cancer types, genetically predicted higher nevus counts and occupational class were associated with an increased risk of melanoma. Genetic liability to rheumatoid arthritis, type 2 diabetes, and increased physical activity were associated with a lower risk of BCC. Genetically predicated body mass index showed a negative association with BCC, and a positive association with SCC., Conclusions: Our study reaffirmed several previously established risk factors and identified novel potential risk factors for skin cancer. Further work is needed to unravel the biological pathways in different skin cancer types and translate our findings to inform public health policies., (© 2024. The Author(s).)

Objective: TBC1 domain family member 22A (TBC1D22A) possesses GTPase-activating protein (GAP) activity of Rab family proteins and has not been reported in ovarian serous cystadenocarcinoma (OSC). The research was designed to evaluate the expression and prognostic effect of TBC1D22A in OSC. Methods: TCGA, GTEx, GEO, HPA, and GDSC databases were adopted to explore the oncogenic mechanism of TBC1D22A in OSC, as well as the correlation between TBC1D22A and patient prognosis, IC50, stemness index, immune checkpoint, and immune infiltration. To compare the occurrence of end-point times, Kaplan-Meier survival curves were used. Independent prognostic factors of patients with OSC were analyzed with both univariate as well as multivariate Cox regression analyses, and the overall survival (OS) of the patients at 1, 2 and 3 years was predicted with nomograms. Results: TB1D22A expression was elevated in OSC, and high expression of TBC1D22A was related to poor OS, progression free survival (PFS), disease specific survival (DSS), and disease-free survival (DFS) in OSC. TBC1D22A had predictive value in both univariate and multivariate Cox regression analysis. TBC1D22A was positively correlated with M2 macrophage infiltration and the expression of most immune checkpoint genes. IC50 for cisplatin and paclitaxel increased in patients with overexpression of TBC1D22A. Conclusion: TBC1D22A is an independent prognostic risk factor for patients of ovarian cancer. Future research is required to fully understand the carcinogenic mechanism and clinical utility of TBC1D22A in ovarian cancer., Competing Interests: Competing Interests: The authors have declared that no competing interest exists., (© The author(s).)

The development of self-powered sensors with interference-resistant detection is a priority area of research for the next generation of wearable electronic devices. Nevertheless, the presence of multiple stimuli in the actual environment will result in crosstalk with the sensor, thereby hindering the ability to obtain an accurate response to a singular stimulus. Here, we present a self-powered sensor composed of silk-based conductive composite fibers (CNFA@ESF), which is capable of energy storage and sensing. The fabricated CNFA@ESF exhibits excellent mechanical performance, as well as flexibility that can withstand various deformations. The CNFA@ESF provides a good areal capacitance (44.44 mF cm -2 ), high-rate capability, and excellent cycle stability (91 % for 5000 cycles). In addition, CNFA@ESF also shows good sensing performance for multiple signals including strain, temperature, and humidity. It was observed that the assembly of the symmetrical device with a stiff hydrogel surface layer for protection enabled the real-time, interference-free monitoring of temperature signals. Also, the CNFA@ESF can be woven into fabrics and integrated with a solar cell to form a self-powered sensor system, which has been proven to convert and store solar energy to power electronic watches, indicating its huge potential for future wearable electronics., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Tumor treating fields (TTFields) is a novel therapeutic approach for the treatment of glioblastoma. The electric field intensity is a critical factor in the therapeutic efficacy of TTFields, as stronger electric field can more effectively impede the proliferation and survival of tumor cells. In this study, we aimed to improve the therapeutic effectiveness of TTFields by optimizing the position of electrode arrays, resulting in an increased electric field intensity at the tumor. Three representative head models of real glioblastoma patients were used as the research subjects in this study. The improved subtraction-average-based optimization (ISABO) algorithm based on circle chaos mapping, opposition-based learning and golden sine strategy, was employed to optimize the positions of the four sets of electrode arrays on the scalp. The electrode positions are dynamically adjusted through iterative search to maximize the electric field intensity at the tumor. The experimental results indicate that, in comparison to the conventional layout, the positions of the electrode arrays obtained by the ISABO algorithm can achieve average electric field intensity of 1.7887, 2.0058, and 1.3497 V/cm at the tumor of three glioblastoma patients, which are 23.6%, 29.4%, and 8.5% higher than the conventional layout, respectively. This study demonstrates that optimizing the location of the TTFields electrode array using the ISABO algorithm can effectively enhance the electric field intensity and treatment coverage in the tumor area, offering a more effective approach for personalized TTFields treatment., (© 2024 John Wiley & Sons Ltd.)

Lymphocyte antigen 6 complex locus K (LY6K) has been demonstrated to play a significant role in cancers and identified as a therapeutic biomarker for head and neck squamous cell carcinoma. However, the role of LY6K in oral squamous cell carcinoma (OSCC) has not been explored. The current study discovered that LY6K was aberrantly upregulated in OSCC cell lines and tissues and that high LY6K expression significantly correlated with poorer survival of OSCC patients. Through stable knockdown of LY6K, we found that the growth, colony formation, migration, and invasion of OSCC cells were substantially suppressed. In addition, tumor growth and lung metastasis in vivo were effectively inhibited by LY6K depletion. Mechanically, LY6K binds with CAV-1 and activates CAV-1-mediated MAPK/ERK signaling to exert its oncogenic effects on OSCC. In addition, LY6K expression in OSCC was discovered to be regulated by FTO-mediated RNA N6-methyladenosine (m 6 A) modification in an IGF2BP1-dependent manner. Generally, LY6K expression was upregulated by FTO-mediated demethylation in OSCC, which promoted the tumorigenesis and metastasis of OSCC via activating the CAV-1-mediated ERK1/2 signaling pathway., (©The Author(s) 2024. Open Access. This article is licensed under a Creative Commons CC-BY International License.)

Background: Cerebral hemorrhage is a critical medical condition that necessitates a rapid and precise diagnosis for timely medical intervention, including emergency operation. Computed tomography (CT) is essential for identifying cerebral hemorrhage, but its effectiveness is limited by the availability of experienced radiologists, especially in resource-constrained regions or when shorthanded during holidays or at night. Despite advancements in artificial intelligence-driven diagnostic tools, most require technical expertise. This poses a challenge for widespread adoption in radiological imaging. The introduction of advanced natural language processing (NLP) models such as GPT-4, which can annotate and analyze images without extensive algorithmic training, offers a potential solution., Objective: This study investigates GPT-4's capability to identify and annotate cerebral hemorrhages in cranial CT scans. It represents a novel application of NLP models in radiological imaging., Methods: In this retrospective analysis, we collected 208 CT scans with 6 types of cerebral hemorrhages at Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, between January and September 2023. All CT images were mixed together and sequentially numbered, so each CT image had its own corresponding number. A random sequence from 1 to 208 was generated, and all CT images were inputted into GPT-4 for analysis in the order of the random sequence. The outputs were subsequently examined using Photoshop and evaluated by experienced radiologists on a 4-point scale to assess identification completeness, accuracy, and success., Results: The overall identification completeness percentage for the 6 types of cerebral hemorrhages was 72.6% (SD 18.6%). Specifically, GPT-4 achieved higher identification completeness in epidural and intraparenchymal hemorrhages (89.0%, SD 19.1% and 86.9%, SD 17.7%, respectively), yet its identification completeness percentage in chronic subdural hemorrhages was very low (37.3%, SD 37.5%). The misidentification percentages for complex hemorrhages (54.0%, SD 28.0%), epidural hemorrhages (50.2%, SD 22.7%), and subarachnoid hemorrhages (50.5%, SD 29.2%) were relatively high, whereas they were relatively low for acute subdural hemorrhages (32.6%, SD 26.3%), chronic subdural hemorrhages (40.3%, SD 27.2%), and intraparenchymal hemorrhages (26.2%, SD 23.8%). The identification completeness percentages in both massive and minor bleeding showed no significant difference (P=.06). However, the misidentification percentage in recognizing massive bleeding was significantly lower than that for minor bleeding (P=.04). The identification completeness percentages and misidentification percentages for cerebral hemorrhages at different locations showed no significant differences (all P>.05). Lastly, radiologists showed relative acceptance regarding identification completeness (3.60, SD 0.54), accuracy (3.30, SD 0.65), and success (3.38, SD 0.64)., Conclusions: GPT-4, a standout among NLP models, exhibits both promising capabilities and certain limitations in the realm of radiological imaging, particularly when it comes to identifying cerebral hemorrhages in CT scans. This opens up new directions and insights for the future development of NLP models in radiology., Trial Registration: ClinicalTrials.gov NCT06230419; https://clinicaltrials.gov/study/NCT06230419., (©Daiwen Zhang, Zixuan Ma, Ru Gong, Liangliang Lian, Yanzhuo Li, Zhenghui He, Yuhan Han, Jiyuan Hui, Jialin Huang, Jiyao Jiang, Weiji Weng, Junfeng Feng. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.09.2024.)

Objective: To analyze MRI and clinical characteristics of idiopathic inflammatory myopathy (IIM) activity and construct a prediction model. Methods: A retrospective analysis was conducted on 326 patients with IIM from December 2019 to December 2023 at General Hospital of Ningxia Medical University, including 112 males and 214 females, aged(53.7±15.3) years. According to histopathology and electromyography, they were divided into active phase group( n =86) and inactive phase group ( n =240). The two groups were randomly divided into the training set and the verification set according to the ratio of 7∶3. The single factor analysis, least absolute shrinkage and selection operator (Lasso), random forest algorithm, and multivariate logistic regression model were used to screen the risk factors of IIM activity and construct a prediction model. Receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the performance of prediction model. Results: There were significant differences in gender, age, T 1 value, T 2 value, creatine kinase-MB(CKMB), creatine kinase (CK) and lactate dehydrogenase (LDH) between the two groups(all P <0.05). Lasso and random forest algorithm screened 5 variables for analysis, age (λ=-0.009), T 2 value (λ=-2.564), CKMB (λ=-0.256), CK (λ=-0.492), LDH (λ=-2.786) respectively. Multivariate logistic regression model showed that age ( OR =1.603, 95% CI : 1.030-1.096), T 2 ( OR =352.269, 95% CI : 13.303-9 328.053), CKMB ( OR =2.470, 95% CI : 1.497-4.075), CK( OR =4.973, 95% CI : 2.583-9.575), LDH( OR =1 155.247, 95% CI : 152.387-8 757.954) were risk factors for active IIM patients. A prediction model nomograms were drawn with the above risk factors included. The area under the ROC curve (AUC) of the prediction model for the training set MRI combined with clinical indicators was higher than that of the clinical indicator model [0.914 (95% CI : 0.873-0.955) vs 0.901 (95% CI : 0.858-0.945), P <0.001], with sensitivity of 88.3% and 90.7%, and specificity of 81.7% and 75.0%, respectively. The AUC of the prediction model for the validation set MRI combined with clinical indicators was higher than that of the clinical model [0.982 (95% CI : 0.873-0.955) vs 0.934 (95% CI : 0.858-0.945), P <0.001], with sensitivity of 97.2% and 88.5%, and specificity of 100.0% and 92.3%, respectively. The calibration curves plotted in the training set and test set, respectively, fit well with the ideal curve. Conclusion: The nomogram model of MRI combined with clinical indicators can effectively predict the activity of IIM.

Objective: Intracranial EEG can identify epilepsy-related networks in patients with focal epilepsy; however, the association between network organization and post-surgical seizure outcomes remains unclear. Hubness serves as a critical metric to assess network organization by identifying brain regions that are highly influential to other regions. In this study, we tested the hypothesis that favorable post-operative seizure outcomes are associated with the surgical removal of interictal network hubs, measured by the novel metric "Resection-Hub Alignment Degree (RHAD).", Methods: We analyzed Phase II interictal intracranial EEG from 69 patients with epilepsy who were seizure-free (n = 45) and non-seizure-free (n = 24) 1 year post-operatively. Connectivity matrices were constructed from intracranial EEG recordings using imaginary coherence in various frequency bands, and centrality metrics were applied to identify network hubs. The RHAD metric quantified the congruence between hubs and resected/ablated areas. We used a logistic regression model, incorporating other clinical factors, and evaluated the association of this alignment regarding post-surgical seizure outcomes., Results: There was a significant difference in RHAD in fast gamma (80-200 Hz) interictal network between patients with favorable and unfavorable surgical outcomes (p = .025). This finding remained similar across network definitions (i.e., channel-based or region-based network) and centrality measurements (Eigenvector, Closeness, and PageRank). The alignment between surgically removed areas and other commonly used clinical quantitative measures (seizure-onset zone, irritative zone, high-frequency oscillations zone) did not reveal significant differences in post-operative outcomes. This finding suggests that the hubness measurement may offer better predictive performance and finer-grained network analysis. In addition, the RHAD metric showed explanatory validity both alone (area under the curve [AUC] = .66) and in combination with surgical therapy type (resection vs ablation, AUC = .71)., Significance: Our findings underscore the role of network hub surgical removal, measured through the RHAD metric of interictal intracranial EEG high gamma networks, in enhancing our understanding of seizure outcomes in epilepsy surgery., (© 2024 International League Against Epilepsy.)

Introduction: Breast cancer (BC) is a prevailing malignancy among women, and its inconspicuous development contributes significantly to mortality. The RNA N6-methyladenosine (m 6 A) modification represents an emerging mechanism for gene expression regulation, with the active involvement of the YTH N6-methyladenosine RNA binding protein 3 (YTHDF3) in tumor progression across multiple cancer types. Nonetheless, its precise function in breast cancer necessitates further investigation., Methods: The expression of YTHDF3 in both cell lines and patient tissues was examined using Western blotting, reverse transcription quantitative PCR (RT-qPCR), and immunohistochemistry (IHC) techniques. Bioinformatics analysis of methylated RNA immunoprecipitation sequencing (MeRIP-seq) and transcriptome RNA sequencing (RNA-seq) data was employed to screen for the target genes of YTHDF3. The main focus of this study was to investigate the in vitro biological functions of YTHDF3. The specific binding of YTHDF3 to its target genes and its correlation with m 6 A methylation were studied through RNA pull-down, RNA immunoprecipitation, and co-immunoprecipitation experiments. The protein regulatory mechanisms of downstream genes of YTHDF3 were assessed using protein stability analysis. Furthermore, the biological functions of YTHDF3 and its target genes in breast cancer cells were validated through CRISPR-Cas9 technology and rescue experiments., Results: By constructing a risk model using the TCGA database, YTHDF3 was identified as a high-risk factor among m 6 A methylation factors. Subsequent investigations revealed its elevated expression in various subtypes of breast cancer, accompanied by poor prognosis. MeRIP-seq analysis further revealed fibroblast growth factor 2 (FGF2) as a downstream gene of YTHDF3. Knockdown of YTHDF3 in breast cancer cells led to significant inhibition of cell self-renewal, migration, and invasion abilities in vitro . Mechanistically, YTHDF3 specifically recognized the methylated transcript of FGF2 within its coding sequence (CDS) region, leading to the inhibition of FGF2 protein degradation. Moreover, depletion of FGF2 markedly suppressed the biological functions of breast cancer cells, while reducing FGF2 expression in YTHDF3-overexpressing breast cancer cell lines substantially alleviated the malignant progression., Conclusions: In summary, our study elucidates the role of YTHDF3 as an oncogene in maintaining FGF2 expression in BC cells through an m 6 A-dependent mechanism. Additionally, we provide a potential biomarker panel for prognostic prediction in BC., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Gong, Zhang, Sun, Zhao and Fang.)

Nipah virus (NiV) is a zoonotic paramyxovirus in the genus Henipavirus that is prevalent in Southeast Asia. NiV leads to severe respiratory disease and encephalitis in humans and animals, with a mortality rate of up to 75%. Despite the grave threat to public health and global biosecurity, no medical countermeasures are available for humans. Here, based on self-assembled ferritin nanoparticles (FeNPs), we successfully constructed two candidate FeNP vaccines by loading mammalian cells expressing NiV sG (residues 71-602, FeNP-sG) and G head (residues 182-602, FeNP-G head ) onto E. coli-expressed FeNPs (FeNP-sG and FeNP-G head, respectively) through Spycatcher/Spytag technology. Compared with sG and G head alone, FeNP-sG and FeNP-G head elicited significant NiV specific neutralizing antibody levels and T-cell responses in mice, whereas the immune response in the FeNP-sG immunized group was greater than that in the FeNP-G head group. These results further demonstrate that sG possesses greater antigenicity than G head and that FeNPs can dramatically enhance immunogenicity. Furthermore, FeNP-sG provided 100% protection against NiV challenge in a hamster model when it was administered twice at a dose of 5 μg/per animal. Our study provides not only a promising candidate vaccine against NiV, but also a theoretical foundation for the design of a NiV immunogen for the development of novel strategies against NiV infection., Competing Interests: Conflict of interest None of the authors declares competing interest., (Copyright © 2024 The Authors. Publishing services by Elsevier B.V. All rights reserved.)

Super-resolution microscopy has revolutionized our ability to visualize structures below the diffraction limit of conventional optical microscopy and is particularly useful for investigating complex biological targets like chromatin. Chromatin exhibits a hierarchical organization with structural compartments and domains at different length scales, from nanometers to micrometers. Single molecule localization microscopy (SMLM) methods, such as STORM, are essential for studying chromatin at the supra-nucleosome level due to their ability to target epigenetic marks that determine chromatin organization. Multi-label imaging of chromatin is necessary to unpack its structural complexity. However, these efforts are challenged by the high-density nuclear environment, which can affect antibody binding affinities, diffusivity and non-specific interactions. Optimizing buffer conditions, fluorophore stability, and antibody specificity is crucial for achieving effective antibody conjugates. Here, we demonstrate a sequential immunolabeling protocol that reliably enables three-label studies within the dense nuclear environment. This protocol couples multiplexed localization datasets with a robust analysis algorithm, which utilizes localizations from one target as seed points for distance, density and multi-label joint affinity measurements to explore complex organization of all three targets. Applying this multi-plexed algorithm to analyze distance and joint density reveals that heterochromatin and euchromatin are not-distinct territories, but that localization of transcription and euchromatin couple with the periphery of heterochromatic clusters. This work is a crucial step in molecular imaging of the dense nuclear environment as multi-label capacity enables for investigation of complex multi-component systems like chromatin with enhanced accuracy.

eEF2K, an atypical alpha-kinase, is responsible for regulating protein synthesis and energy homeostasis. Aberrant eEF2K function has been linked to various human cancers, including triple-negative breast cancer (TNBC). However, limited cellular activity of current eEF2K modulators impedes their clinical application. Based on the 2-phenyl-1,2,4-triazine-3,5(2 H ,4 H )-dione scaffold of our hits I4 and C1 , structure-activity relationship analysis led to the discovery of several more active derivatives (e.g., 19 , 34 , and 36 ) in inhibiting the viability of TNBC cell line MDA-MB-231. Moreover, the most potent compound 36 significantly suppresses the viability, proliferation, and migration of both MDA-MB-231 and HCC1806 cell lines. Mechanistically, compound 36 has a high binding affinity for the eEF2K protein and effectively induces its degradation. Additionally, 36 exerts a comparable tumor-suppressive effect to paclitaxel in an MDA-MB-231 cell xenograft mouse model with no obvious toxicity, demonstrating that compound 36 could be developed as a potential novel therapeutic for TNBC treatment.

The vulnerability of mega infrastructure projects (MIPs) has generated online public opinion crises, leading to public trust damage. However, few studies focused on the online dynamic trust of MIPs in such crises from the perspective of multiple users. Based on situational crisis communication theory, this study aims to explore the dynamic public trust in MIPs during online public opinion crises of extreme climate emergencies. The extreme heavy rainstorm event in Zhengzhou City, China, was selected as the case. Content analysis, the curve fitting method, and sentiment analysis were conducted to process the collected data from multiple users. The results indicated that the opinions of trust damage were set by "media practitioners" and led by "elites," whereas the opinions of trust repair were directed by "elites," led by "media practitioners," and defended by "individuals." Besides, trust dimensions would change over time; integrity-based and competence-based trust diffused alternatively. "Diminish," "deny," and "rebuild" strategies were proved to be the most effective strategies in integrity-based, competence-based, and competence and integrity-based trust repair, respectively. The findings can contribute to the authorities monitoring online public opinions in extreme climate emergencies and repairing trustworthy images., (© 2024 Society for Risk Analysis.)

Background: Due to frequent and high-risk sports activities, the elbow joint is susceptible to injury, especially to cartilage tissue, which can cause pain, limited movement and even loss of joint function., Aim: To evaluate magnetic resonance imaging (MRI) multisequence imaging for improving the diagnostic accuracy of adult elbow cartilage injury., Methods: A total of 60 patients diagnosed with elbow cartilage injury in our hospital from January 2020 to December 2021 were enrolled in this retrospective study. We analyzed the accuracy of conventional MRI sequences (T1-weighted imaging, T2-weighted imaging, proton density weighted imaging, and T2 star weighted image) and Three-Dimensional Coronary Imaging by Spiral Scanning (3D-CISS) in the diagnosis of elbow cartilage injury. Arthroscopy was used as the gold standard to evaluate the diagnostic effect of single and combination sequences in different injury degrees and the consistency with arthroscopy., Results: The diagnostic accuracy of 3D-CISS sequence was 89.34% ± 4.98%, the sensitivity was 90%, and the specificity was 88.33%, which showed the best performance among all sequences ( P < 0.05). The combined application of the whole sequence had the highest accuracy in all sequence combinations, the accuracy of mild injury was 91.30%, the accuracy of moderate injury was 96.15%, and the accuracy of severe injury was 93.33% ( P < 0.05). Compared with arthroscopy, the combination of all MRI sequences had the highest consistency of 91.67%, and the kappa value reached 0.890 ( P < 0.001)., Conclusion: Combination of 3D-CISS and each sequence had significant advantages in improving MRI diagnostic accuracy of elbow cartilage injuries in adults. Multisequence MRI is recommended to ensure the best diagnosis and treatment., Competing Interests: Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article., (©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)