👤 Xueling Dai

The dysregulation of T cell differentiation was associated with cognitive impairment. Recently, the peripheric β-secretase (BACE1) has been suggested as a regulator of T cell differentiation, which was increased in both cognitive impairment (CI) and type 2 diabetes mellitus (T2DM) in CI patients. However, the relationship between T cell dysfunction and CI remains unclear. To address this question, we measured T cell subtypes and BACE1 enzyme activity in a clinical cohort and 5xFAD mice. We found that both IFNγ+ Th1 and Tc1 cells were increased in the CI and T2DM-CI groups, which were associated with worsening cognitive function. The elevated IFNγ + Th1 and Tc1 cells were also observed in 8-month-old 5xFAD mice. The elevated BACE1-mediated INSR cleavage was associated with increased IFNγ + Th1 and Tc1 cells. These findings demonstrate the potential role of elevated BACE1 in IFNγ+ T cells and CI. Show less

More than the sparse infiltration in glioblastoma, cytotoxic T lymphocytes (CTLs) also function inefficiently and overexpress the inhibitory markers, especially the identified NK cell receptor (NK1.1). However, most studies solely focus on how to augment tumor-infiltrating CTLs and overlook their killing maintenance. Metalloimmunotherapy has been proven to improve the functionalities of CTLs, but it has barely adapted to glioblastoma due to the severe limitations of safe delivery and the brain's physiological properties. Herein, we synthesized an amphipathic polyethylene glycol (PEG) polymer (designated as MPP) modified with the choline analogue 2-methacryloyloxyethyl phosphorylcholine (MPC) and polyphenol moieties to customize a nanoeditor (Mg Show less

Osteosarcoma, an aggressive bone malignancy predominantly affecting children and adolescents, is characterized by a poor prognosis and high mortality rates. The development of reliable prognostic tools is critical for advancing personalized treatment strategies. However, identifying robust gene signatures to predict osteosarcoma outcomes remains a significant challenge. In this study, we analyzed gene expression data from 138 osteosarcoma samples across two multicenter cohorts and identified 14 consensus prognosis-associated genes via univariate Cox regression analysis. Using 66 combinations of 10 machine learning (ML) algorithms, we developed a machine learning-derived prognostic signature (MLDPS) optimized by the average C-index across TARGET, GSE21257, and merged cohorts. The MLDPS effectively stratified osteosarcoma patients into high- and low-risk score groups, achieving strong predictive performance for 1-, 3-, and 5-year overall survival (AUC range: 0.852 - 0.963). The MLDPS, comprising seven genes (CTNNBIP1, CORT, DLX2, TERT, BBS4, SLC7A1, NKX2-3), exhibited superior predictive accuracy compared to 10 established gene signatures. The findings of the MLDPS carry significant clinical implications for osteosarcoma treatment. Patients with a high-risk score demonstrated worse prognosis, increased metastasis risk, reduced immune infiltrations, and greater sensitivity to immunotherapy. Conversely, low-risk patients exhibited prolonged survival and distinct drug sensitivities. These findings underscore the potential of MLDPS to guide risk stratification, inform personalized therapeutic strategies, and improve clinical management in osteosarcoma. Show less

Kidney tubular cell injury is largely responsible for the pathophysiological features of diabetic kidney disease (DKD). Increased leucine levels in individuals with DKD have been associated with the progression of diabetes to end-stage renal failure, yet a comprehensive understanding of leucine metabolism in kidney tubules during the progression of DKD is lacking. Human kidney biopsies and mouse models were used to assess leucine metabolism during DKD progression. Enhancement of leucine degradation was achieved through genetic ablation or pharmacological inhibition of branched-chain ketoacid dehydrogenase kinase (BCKDK). Cultured kidney tubular epithelial cells were used to analyse the underlying cellular mechanisms. The association of urinary leucine with progression of DKD was determined in individuals with diabetes. Measurements of metabolites and enzymes suggested defective leucine degradation and increased BCKDK expression in kidney tubules during DKD progression. Enhancement of leucine degradation relieved glucose-induced metabolic remodelling in tubular cells and mitigated DKD in mouse models. Accumulation of leucine stimulated metabolic remodelling via the mTOR signalling pathway; this was relieved by blocking leucine uptake or enhancing its degradation. Restricting dietary leucine significantly decreased albuminuria, kidney hypertrophy and lipid accumulation in mouse models of diabetes. Additionally, we observed that rapid decline in kidney function correlated with a higher urinary leucine-to-creatinine ratio in both female and male individuals with diabetes. In summary, we identify defective leucine degradation in renal tubules of diabetic individuals and propose leucine as a causative factor for DKD, highlighting its potential as a therapeutic target for further investigation. The transcriptomic data supporting the findings of this study are openly available at the National Center for Biotechnology Information Sequence ReadArchive (SRA) ( https://www.ncbi.nlm.nih.gov/sra , identifiers: PRJNA1180888 and PRJNA1180923). The metabolomics data associated with the manuscript are available in the ESM. Show less

RNA G-quadruplexes (rG4s) are non-canonical secondary nucleic acid structures found in the transcriptome. They play crucial roles in gene regulation by interacting with G4-binding proteins (G4BPs) in cells. rG4-G4BP complexes have been associated with human diseases, making them important targets for drug development. Generating innovative tools to disrupt rG4-G4BP interactions will provide a unique opportunity to explore new biological mechanisms and potentially treat related diseases. Here, we have rationally designed and developed a series of rG4-based proteolytic targeting chimeras (rG4-PROTACs) aimed at degrading G4BPs, such as DHX36, a specific G4BP that regulates gene expression by binding to and unraveling rG4 structures in messenger RNAs (mRNAs). Our comprehensive data and systematic analysis reveals that rG4-PROTACs predominantly and selectively degrade DHX36 through a proteosome-dependent mechanism, which promotes the formation of the rG4 structure in mRNA, leading to the translation inhibition of rG4-containing transcripts. Notably, rG4-PROTACs inhibit rG4-mediated APP protein expression, and impact the proliferative capacity of skeletal muscle stem cells by negatively regulating Gnai2 protein expression. In summary, rG4-PROTACs provide a new avenue to understand rG4-G4BP interactions and the biological implications of dysregulated G4BPs, promoting the development of PROTACs technology based on the non-canonical structure of nucleic acids. Show less

Porcine circovirus type 3 (PCV3) is an emerging pathogen that causes porcine dermatitis, and reproductive failure. PCV3 Cap interacts with DExD/H-box helicase 36 (DHX36), a protein that functions primarily through regulating interferon (IFN)-β production. However, how the interaction between DHX36 and PCV3 Cap regulates viral replication remains unknown. Herein, we observed impaired PCV3 proliferation after DHX36 overexpression as indicated by decreased Rep protein expression and virus production. In contrast, PCV3 replication increased upon small interfering RNA-mediated DHX36 depletion. Furthermore, DHX36 positively regulated IFN-β production and interferon-stimulated genes (ISGs) expression. Mechanistically, PCV3 Cap interacted with DHX36, and the PCV3 Cap-NLS and DHX36-NTD were essential for the interaction. Furthermore, DHX36 may get degraded because its binding cellular partners became ubiquitinated and then reduced, and PCV3 Cap-(35-100aa) also promoted the degradation of DHX36 through the K48-linked ubiquitination. Taken together, these results show that DHX36 antagonizes PCV3 replication by interacting with PCV3 Cap and activating IFN-β response, which provides important insight on the prevention and controlling of PCV3 infection. IMPORTANCE: Porcine circovirus type 3 (PCV3) is a newly discovered pathogen associated with multiple clinicopathological signs. Clarifying the mechanisms that host factors modulate PCV3 replication helps understanding of the viral pathogenesis. The PCV3 capsid (Cap) protein has been shown to interact with DExD/H-box helicase 36 (DHX36) (Zhou et al., 2022b), a crucial protein that regulates virus replication. Herein, we further demonstrated that DHX36 protein is degraded in PCV3-infected cells and antagonizes the replication of PCV3 and that DHX36 increases interferon-β and interferon-stimulated gene levels by binding to PCV3 Cap. In addition, PCV3 infection could decrease DHX36 expression levels to antagonize its antiviral activity. These results reveal a molecular mechanism by which DHX36 antagonizes PCV3 replication by binding to PCV3 Cap protein and activating IFN signals, thereby providing important targets for preventing and controlling PCV3 infection. Show less

Neural epidermal growth factor-like protein 1 (NELL-1) and the exostosin 1/2 complex (EXT1/2) are recently identified target antigens in membranous nephropathy (MN), yet their prevalence and clinical features in Chinese populations remain poorly characterized. This study enrolled 197 consecutive patients with biopsy-proven MN, including 186 with idiopathic membranous nephropathy (IMN) and 11 with secondary membranous nephropathy (SMN). Serum levels of NELL-1 and EXT1/2 antigens were detected Show less

Osteoarthritis (OA) is a multifactorial disease influenced by both genetic and environmental factors. Recent studies suggest that genetic variants involved in nutrient metabolism may interact with dietary factors to modulate OA risk. Understanding these gene-nutrient interactions could inform personalized prevention strategies for OA. We conducted a cross-sectional study involving 500 participants to explore associations between specific genetic variants and OA susceptibility, considering dietary intake. Genotyping focused on polymorphisms in the FADS1 gene (rs174537) related to omega-3 fatty acid metabolism, the VDR gene (rs2228570) involved in vitamin D metabolism, and the IL-6 gene (rs1800795), a marker of inflammation. Dietary intake of omega-3 fatty acids, vitamin D, and antioxidants was assessed using validated food frequency questionnaires. Gene-nutrient interactions were evaluated using multivariable logistic regression models, adjusting for potential confounders. Individuals carrying the G allele of FADS1 who reported low omega-3 fatty acid intake exhibited a significantly increased risk of OA [Odds Ratio (OR) = 1.45; 95% Confidence Interval (CI): 1.10-1.90; Show less

The mitogen-activated protein kinase (MAPK) signaling pathway plays roles in cell proliferation, differentiation, and apoptosis, all crucial for cellular transformation. It's no surprise that MAPK alterations are prevalent in numerous tumors. Several critical genes in the MAPK signaling pathway, including Show less

Cardiac hypertrophy is an independent risk factor and the primary predictor of heart failure (HF). Mitochondria are crucial for the shift from hypertrophy to heart failure. The expression of fibroblast growth factor 21 (FGF21), a cardioprotective factor, is increased in patients with cardiac hypertrophy but fails to prevent heart failure. Additionally, the molecular mechanism through which FGF21 exerts its beneficial effects on hypertrophic myocardial mitochondria remains unclear. Our study investigated the effect of FGF21 on cardiac hypertrophy, elucidating its mechanism of action through the enhancement of mitophagy-mediated cardioprotection. A transverse aortic constriction (TAC) model and a phenylephrine (PE) model were applied to explore the effect and mechanism of FGF21. P62-mediated mitophagy inducer (PMI) and rapamycin (Rapa) were used to confirm that FGF21-regulated mitophagy under overload pressure conditions. FGF21 knockout markedly exacerbated TAC-induced cardiac function damage, mitochondrial damage, and mitophagy impairment. In vitro, FGF21 knockdown aggravated PE-induced cardiomyocyte hypertrophy and mitophagy dysfunction. FGF21 treatment promoted mitophagy in the TAC and PE models, but this effect was abolished in the absence of PTEN-induced putative kinase 1 (PINK1). The increase in PINK1 expression induced by Rapa can rescue impaired cardiac function and mitophagy impairment in FGF21-deficient TAC mice. Similarly, PMI enhances mitophagy, which inhibits damage to cardiac functions. A further study revealed that the expression of fibroblast growth factor receptor 1 (FGFR1) and FGF21 was opposite in heart failure. Knockdown of FGFR1 inhibited FGF21-mediated mitophagy. FGF21 promotes PINK1-mediated mitophagy to attenuate cardiac hypertrophy, and mismatched FGFR1 expression may hamper the beneficial effect of FGF21 on cardiac hypertrophy. Show less

Clinical trials have demonstrated Sodium-glucose cotransporter 2 inhibitors (SGLT2i) antihypertensive effects, yet their underlying mechanisms remain to be fully elucidated. Fibroblast growth factor 21 (FGF21) circulating levels are associated with hypertension in humans. This study aims to investigate the roles of SGLT2i and FGF21 in improving hypertension and their potential mechanisms. A mouse model of Ang II-induced hypertension was established. Wild-type (WT) C57BL/6 mice and FGF21 knockout (FGF21 Show less

Osteosarcoma (OS) is the most prevalent primary malignant bone sarcoma, characterized by its high rates of metastasis and mortality. In our previous multiomics analysis of the Shanghai General Hospital OS (SGH-OS) cohort, we identified four distinct OS subtypes, each with unique molecular characteristics and clinical outcomes. Of particular importance was the identification of the MYC-driven subtype, which exhibited the poorest prognosis and was referred to as high-risk OS. A diagnostic tool is needed for clinicians to identify high-risk OS in advance. The purpose of this study is to develop a classifier capable of accurately predicting the high-risk OS subtype using transcriptome and methylation data. In this study, using eXtreme Gradient Boosting (XGBoost) with Bayesian optimization, we developed a classification model by integrating transcriptome and methylation data from our internal SGH-OS cohort. We further validated the model's predictive performance with the external TARGET-OS cohort. Using the XGBoost algorithm, we developed a classifier incorporating nine genes (ARHGAP9, CADM1, CPE, DUSP3, FGFR1, GALNT3, IGF2BP3, KIF26A, ZFP3). In our internal cohort, the classifier exhibited excellent predictive performance, with an area under the receiver operating characteristics curve (AUC) of 0.999 and an overall accuracy of 0.989. Furthermore, the classifier successfully stratified two groups with distinct survival outcomes in the external TARGET-OS cohort. Notably, our analysis revealed a positive correlation between IGF2BP3 and MYC signaling pathways, highlighting IGF2BP3 as a potential therapeutic target in high-risk OS. Our classifier demonstrated excellent predictive performance in identifying patients with high-risk OS, offering the potential to enhance treatment decision making and optimize patient management strategies. Show less

Objective: The potential association between sepsis risk and circulating levels of fibroblast growth factors (FGFs) and their receptors (FGFRs) has been a focus of research; however, the causal relationship between them remains to be elucidated. We hypothesize a causal association between genetically predicted FGFs, FGFRs, and sepsis risk, and we conduct a Mendelian randomization (MR) study to validate this hypothesis. Methods: We utilized a two-sample MR design to assess the effect of genetic variants associated with various FGFs (FGF1, FGF2, FGF7, FGF16, FGF19, FGF21, FGF23, FGF5) and FGFRs (FGFR1, FGFR2, FGFR3, α-Klotho) on sepsis risk, using genome-wide association study summary statistics. Our MR analyses employed the inverse-variance weighted (IVW) method, along with weighted median, weighted mode, and MR-Egger regression, supplemented by sensitivity analyses to ensure robustness. Results: The MR analysis identified an unequal number of instrumental variables ranging from 2 to 17 for FGFs and FGFRs when sepsis was the outcome. No significant correlation was found between genetically determined FGF levels and sepsis risk by IVW analysis (all P > 0.05). Correspondingly, similar nonsignificant associations were observed for FGFRs (all P > 0.05). Other MR methods corroborated the IVW findings. Sensitivity analyses, including Cochran's Q test, MR-Egger, and MR pleiotropy residual sum and outlier, indicated no significant heterogeneity or pleiotropy in the relationships, with the exception of a nonsignificant correlation between FGFR1 and sepsis that persisted after the exclusion of an outlier (odds ratio, 0.84; P = 0.34). Conclusion: The analysis found no significant causal associations between FGFs, their receptors, and sepsis risk, indicating a need for further research on their complex interactions. Show less

Calcified chondroid mesenchymal neoplasm (CCMN) is a recently identified category of soft tissue neoplasms defined by cartilage or cartilaginous matrix formation and We conducted a clinicopathological analysis of five newly identified CCMN cases and reviewed 87 cases documented in PubMed. Next-generation sequencing was used to detect molecular alterations, while clinical, radiological and histopathological features were extensively reviewed. CCMN typically affects adults, presenting as a slow-growing, painless mass in soft tissue. Histologically, CCMN exhibits a chondroid matrix with variable calcification. Molecular analyses in our cases identified CCMN should be considered in the differential diagnosis of soft tissue tumours with chondroid and calcified components. Detecting Show less

This study aimed to compare the diagnostic value of [ A prospective study was conducted between March 2023 and July 2023. Patients with high clinical suspicion of lung cancer were recruited. Each participant underwent PET/CT scanning using [ A total of 101 participants were included (mean age 63.267 ± 9.344 [range 39-86 years]). In benign lung lesions, [ [ Show less

In recent years, the discovery of IL-12 family cytokines, which includes IL-12, IL-23, IL-27, IL-35, and IL-39, whose biological functions directly or indirectly affect various autoimmune diseases. In autoimmune diseases, IL-12 family cytokines are aberrantly expressed to varying degrees. These cytokines utilize shared subunits to influence T-cell activation and differentiation, thereby regulating the balance of T-cell subsets, which profoundly impacts the onset and progression of autoimmune diseases. In such conditions, IL-12 family members are aberrantly expressed to varying degrees. By exploring their immunomodulatory functions, researchers have identified varying therapeutic potentials for each member. This review examines the physiological functions of the major IL-12 family members and their interactions, discusses their roles in several autoimmune diseases, and summarizes the progress of clinical studies involving monoclonal antibodies targeting IL-12 and IL-23 subunits currently available for treatment. Show less

Prior research has consistently demonstrated that higher levels of digital health literacy contribute positively to improved mental health outcomes and overall quality of life among patients. Nevertheless, the interplay between digital health literacy and the experience of perceived stigma-particularly among burn patients-remains underexplored, and the potential heterogeneity within this relationship has not been adequately addressed. This cross-sectional study, conducted from June to July 2025, recruited 534 burn patients (mean age 31.05 ± 9.52 years; 61.0% male) from three tertiary hospitals in Sichuan Province, China. Participants completed validated scales assessing digital health literacy, social support, appearance anxiety, perceived stigma, and demographics. Data were analyzed using Pearson correlations, latent profile analysis (LPA) with fit indices, univariate analyses (chi-square tests and Digital health literacy was negatively correlated with perceived stigma ( This study confirms heterogeneity in digital health literacy and perceived stigma among burn patients, with social support and appearance anxiety as key influencers. Findings support targeted interventions to enhance digital health literacy and reduce perceived stigma, advancing precision psychological care for burn survivors. Show less

Bidirectional intergenerational support is linked to late-life mental health, yet the underlying mechanisms remain unclear. Guided by intergenerational solidarity and social support theories, we examined how distinct support profiles relate to mental health among Chinese older adults, testing self-rated health (SRH) as a mediator and social participation as a moderator. We analyzed 7,843 adults aged ≥60 from the 2020 China Longitudinal Aging Social Survey. Latent profile analysis (LPA) identified bidirectional support profiles; group differences in mental health were assessed using the Bolck-Croon-Hagenaars (BCH) approach, followed by mediation and moderated-mediation models with bootstrap inference (5,000 resamples). Four profiles emerged-High Support-High Interaction-High Closeness (HS-HI-HC; 47.02%), Child-High Support-Low Interaction-High Closeness (CS-LI-HC; 33.46%), Moderate Support-Moderate Interaction-Low Closeness (MS-MI-LC; 10.37%), and Low Support-Low Interaction-Moderate Closeness (LS-LI-MC; 9.16%). Mental health differed across different profiles, with HS-HI-HC showing the best mental health levels (the lowest scores). SRH partially mediated these associations (for instance, HS-HI-HC indirect effect = -0.186, 95% CI -0.245 to -0.131). Social participation attenuated benefits of high family support but buffered risks under low support. Bidirectional intergenerational support is heterogeneous in China; profiles characterized by reciprocity and closeness show the most favorable mental health. SRH accounts for a modest but meaningful share of these associations, and social participation can substitute for-or amplify-the benefits of family support depending on profile. Findings inform profile-tailored community and family interventions to promote healthy aging. Show less

Undergraduate nursing students face significant academic and practical challenges, with their responses reflecting their academic resilience. However, most studies have overlooked the differences in their levels of academic resilience and the factors contributing to these differences. To identify the latent profiles of undergraduate nursing students' academic resilience and to analyze their influencing factors. A cross-sectional study was carried out among 1795 undergraduate nursing students from November 2022 to October 2023 by employing the general information questionnaire, the academic resilience questionnaire for college students, and the brief 2-way social support scale. Latent profile analysis (LPA) was used to analyze the latent profiles of academic resilience, and multiple logistic regression was utilized to explore the factors associated with the identified profiles. Four potential profiles were identified: low academic resilience group, moderate academic resilience group, high academic resilience but low focus and dissociation group, and high academic resilience group. Residence, attitude towards the nursing profession, self-directed study duration, academic performance rank, received and provided instrumental support were found to be associated with the different profiles. These findings highlight the heterogeneity in academic resilience and support tailored educational interventions based on students' specific academic resilience profiles. Show less

Human papillomavirus (HPV) infection is a global public health issue, and HPV-related stigma can affect cervical cancer prevention. But no validated tools exist to assess HPV stigma in Chinese adult women infected with HPV. This study aimed to adapt and validate the HPVsStigma scale (HPV-SS) in the Chinese context. A cross-sectional study was conducted from December 2024 to February 2025 among 501 HPV-infected women in Shenzhen, China. The HPV-SS was adapted from a 12-item HIV stigma scale. Demographic characteristics, HPV-related variables, and data on mental health were collected. Factor analyses (FA) were used to assess the scale's factorial structure, reliability, and validity. The bi-factor model was used to determine the score-reporting method of the scale. Item response theory (IRT) was employed to assess the relationship between participants' stigma levels and scale scores. Latent profile analysis (LPA) was conducted to classify the participants with different HPV stigma characteristics and determine the optimal cut-off value for HPV-SS. FA showed that the 3-factor model (personalized stigma, public-disclosure concerns, and negative self-image) had the best fit among the nested models, with good reliability and validity. The bi-factor model analysis indicated that the total scale score was more meaningful than dimension scores. IRT analysis confirmed that higher HPV-SS scores represented higher stigma levels. LPA identified a 2-class model as optimal, and the optimal cut-off value of the scale for high HPV stigma was 35. This study validated the 12-item HPV-SS for Chinese women infected with HPV, with good reliability and validity. The scale can be used to evaluate HPV stigma levels, facilitating targeted interventions to improve cervical cancer prevention and the psychological well-being of affected women. Show less

The treatment of multidrug-resistant tuberculosis (MDR-TB) is characterized by a prolonged duration and complex medication regimens, often resulting in a substantial medication-related burden that negatively impacts patients' adherence and quality of life. However, research on the heterogeneity of medication-related burden among MDR-TB patients and its influencing factors remains limited. This study aimed to identify latent profiles of medication-related burden among MDR-TB patients and examine differences in burden characteristics across these profiles, thereby providing evidence for tailored intervention strategies. A convenience sampling method was employed to recruit MDR-TB patients diagnosed at a tertiary infectious disease hospital in Chengdu between December 2024 and May 2025. Data were collected using a general information questionnaire, the Living with Medicines Questionnaire (LMQ), and the Health Literacy Management Scale (HeLMS). Latent profile analysis (LPA) was conducted to identify distinct profiles of medication-related burden, and multivariate logistic regression was used to explore associated factors for each profile. A total of 214 valid responses were analyzed. The LPA identified two distinct profiles of medication-related burden: C1 - "Low-Burden (Attitude & Practice-Dominated)" (44%) and C2 - "High-Burden (Daily Interference-Dominated)" (56%). Absence of side effects, not employing a caregiver, and higher levels of health literacy were positively associated with membership in the C1 group ( Medication-related burden among MDR-TB patients exhibits clear heterogeneity. Healthcare professionals should adopt stratified management and personalized interventions based on the identified influencing factors to alleviate the burden of medication in this population. Show less

Amyloid deposition of human islet amyloid polypeptide (hIAPP) is closely linked to the pathogenesis and progression of type 2 diabetes mellitus (T2DM). Developing effective inhibitors to suppress hIAPP aggregation holds significant therapeutic potential for the prevention and treatment of T2DM. Recent researches indicate that both heme and lithospermic acid (LPA) can inhibit hIAPP aggregation. However, heme is prone to induce protein damage under oxidative stress, while LPA exhibits limited inhibitory efficacy despite its antioxidant properties. To overcome these limitations, we aimed to develop a dual-component inhibitor comprising heme and LPA. thioflavin T (ThT) fluorescence, transmission electron microscopy (TEM), circular dichroism (CD) and gel electrophoresis were combined to observe the inhibitory efficacy of heme-LPA co-formulation on hIAPP aggregation. The results demonstrate that LPA and heme can synergistically inhibit hIAPP aggregation. The inhibitory effect of heme-LPA co-formulation on hIAPP aggregation is significantly stronger than that of either component alone. The heme-LPA not only prevents the complete conversion of hIAPP into β-sheet fibrillar structures but also maintains its active monomeric conformation for extended periods. Furthermore, peroxidase activity assays revealed that the presence of LPA significantly reduces the peroxidase activity of heme in a concentration-dependent manner and attenuates peptide nitration damage under H₂O₂-NO₂ Show less

(Co)doping luminescent center(s) in a host is a universal strategy to photoluminescence (PL) modulations for extensive applications, yet its mechanism and interactions between structure and behavior in many phosphors remain ambiguous. Herein, via a facile sol-gel reaction method, differently tendentious occupations of Ce Show less

Third-generation EGFR tyrosine kinase inhibitors (TKI) have revolutionized the treatment of EGFR-mutant non-small cell lung cancer (NSCLC). However, acquired resistance remains a significant challenge. This study investigates the metabolic mechanisms driving third-generation EGFR-TKI resistance. We conducted plasma metabolomics analysis on 216 longitudinal samples from 186 patients with NSCLC enrolled in the clinical trial of rezivertinib (NCT03386955). Additionally, multiomics profiling of rezivertinib-resistant cell lines, functional in vitro experiments, and single-cell RNA sequencing analyses of 215 patients with NSCLC were integrated to reveal underlying mechanisms. Nonresponder patients exhibited elevated glycerophospholipids and dysregulated lysophospholipid (LPL) metabolism. Unsupervised clustering identified two patient subgroups, with cluster 1 (characterized by high LPL levels) associated with poorer survival (P = 0.022). A metabolite-based predictive model achieved robust performance [AUC: 0.7762 (training) and 0.7485 (test)]. Longitudinal analyses demonstrated LPLs and lysophosphatidic acid (LPA) accumulation during the resistance process. Integrated multiomics analyses highlighted epithelial-mesenchymal transition and glycerophospholipid reprogramming in rezivertinib-resistant cells. Functional assays confirmed that LPA promoted cell migration and invasion and attenuated the efficacy of third-generation EGFR-TKI, whereas disruption of the LPA-LPA receptor signaling axis reversed LPA-mediated resistance. Single-cell RNA sequencing identified an LPA-secreting malignant subset (cluster c4), characterized by enhanced epithelial-mesenchymal transition activation and extensive microenvironmental cross-talk through Wnt, TGF-β, and extracellular matrix signals. Our study highlights the pivotal role of LPA-mediated signaling and metabolic reprogramming in third-generation EGFR-TKI resistance. Targeting LPA production or its downstream pathways may offer novel therapeutic strategies to overcome resistance. This study provides critical metabolic insights for managing EGFR-mutant NSCLC. Show less