👤 Yan Xiang

This study investigates the heterogeneity in kindergarten teachers' perceptions of organizational climate and its impact on job burnout. Guided by the AGIL model from social systems theory and the Job Demands-Resources (JD-R) model, it addresses the need to move beyond variable-centered approaches to understand how distinct climate profiles are associated with teacher well-being. A person-centered latent profile analysis (LPA) was employed. A sample of 1,008 kindergarten teachers from China completed measures assessing organizational climate and burnout. The analysis aimed to identify distinct climate profiles and examine their relationships with demographic variables (kindergarten type, assessment level, teaching experience) and the three dimensions of burnout (emotional exhaustion, depersonalization, reduced personal accomplishment). The LPA revealed five distinct organizational climate profiles: Controlled, Moderate, Indifferent, Positive, and Authoritative. Profile membership was significantly predicted by kindergarten assessment level and teachers' years of experience, but not by kindergarten type. Crucially, the profiles differed significantly across all burnout dimensions. Teachers in Positive climates reported the lowest burnout levels, whereas those in Controlled and Indifferent climates experienced the highest. The findings underscore the structural diversity of organizational climates in early childhood settings and their profound psychological consequences. This study validates the application of social systems theory and the JD-R model in this context, revealing how different configurations of job demands and resources shape teacher well-being. The results provide a theoretical lens for understanding educational organizations and offer practical implications for developing tailored, climate-specific intervention strategies to mitigate burnout and support sustainable professional development. Show less

While most patients with stage I non-small cell lung cancer (NSCLC) remain recurrence-free after resection, some still develop recurrent disease. The surgical curative time window concept, defined as no recurrence through 5-year follow-up, helps identify potentially cured patients, yet predictive clinicopathologic features in stage I invasive NSCLC need clarification. This study sought to identify such features to enable risk-adapted surveillance. We analyzed a prospectively collected dataset of patients with stage I invasive NSCLC who underwent R0 resection between 2008 and 2015. Cox regression analysis was used to evaluate the association between clinicopathologic features and disease recurrence, aiming to identify independent prognostic factors. A total of 1,817 patients met the inclusion criteria. The 5-year cumulative incidence of recurrence was 14.6%. Female sex, tumor size ≤2 cm, lepidic-predominant adenocarcinoma (LPA) histologic type, presence of a ground-glass opacity (GGO) component, and solid component size ≤10 mm were identified as independent prognostic factors. A risk stratification system was subsequently developed, classifying patients into two groups: a low-risk group (with ≥4 factors; n=341) and an elevated-risk group (with <4 factors; n=1,476). Kaplan-Meier analysis revealed statistically significant differences in recurrence-free survival (RFS), overall survival (OS), and lung cancer-specific survival (LCSS) between the two groups (P<0.001). The low-risk group is considered to represent the population within the surgical curative time window. Patients with stage I invasive NSCLC who meet at least four of the following five criteria-female sex, tumor size ≤2 cm, solid component ≤10 mm, presence of a GGO component, and LPA histologic type-may be considered within the "surgical curative time window" and may therefore qualify for reduced surveillance intensity. Show less

Pancreatic cancer (PC) represents a highly lethal malignancy characterized by diagnostic challenges owing to nonspecific early symptoms and insufficiently sensitive biomarkers. This investigation sought to identify novel PC biomarkers through lipidomic profiling, an emerging metabolomics methodology examining lipid pathways in disease pathogenesis. We established a humanized murine PC model. Small-molecule oxidized lipid metabolites in primary pancreatic tumors and hepatic metastases were quantitatively analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS) integrated with a comprehensive metabolomics platform. Multivariate statistical approaches including principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were systematically applied. Analysis identified 64 differentially expressed oxidized lipids structurally classified as unsaturated fatty acid derivatives. Comparative assessment of metabolic profiles revealed a pronounced reduction in prostaglandins (PGE Our findings establish prostaglandins PGE Show less

This study aimed to identify the latent profiles of cognitive function among community-dwelling and institutionalized older adults, and to examine their associated influencing factors, in order to inform the development of targeted interventions. A convenience sampling method was used to select 6,708 elderly people aged 60 years and older from six communities and nine long-term care institutions across China, who were assessed using a general information questionnaire, Mini-Mental State Examination (MMSE), the Frailty Scale, the Anxiety Scale, the Depression Scale, and the Pittsburgh Sleep Quality Index. Latent profile analysis (LPA) was performed based on the MMSE scores, and multiple logistic regression was used to analyse the influencing factors of cognitive function categories. A total of three cognitive function profiles were identified: High cognitive Function group (41.2%), Moderate Cognitive Function Group (48.2%) and Low cognitive Function group (10.7%). Higher Frailty [odds ratio (ORs) = 1.070-1.246], higher depressive symptom scores (OR = 1.059-1.191) and poorer sleep quality (higher PSQI; OR = 1.088) were associated with higher odds of belonging to the Moderate/Low cognitive profiles, whereas adequate social support (Yes vs. No; OR = 0.530-0.696), selected middle-income categories versus ≥¥6,000 in per-capita monthly household income (OR = 0.462-0.735) and male sex (OR = 0.556-0.876) were associated with lower odds. Cognitive function among older adults can be classified into three distinct latent profiles, each associated with different influencing factors. These findings underscore the need for stratified and personalized interventions at the community level to support stratified screening and tailored community programs; given the cross-sectional design, these associations do not establish causality or intervention effects. Show less

The comorbidity of major depressive disorder (MDD) and Parkinson's disease (PD) were prevalent and has a profound impact on patients. However, whether this comorbidity results from specific pathological processes or a mutual cause-and-effect relationship was largely controversial. Additionally, although MDD can appear before or after PD, the health impact of the comorbidity sequence is poorly understood. We used mendelian randomization (MR) and UK biobank (UKB) cohort to explore the associations between MDD and PD. MR was also utilized to investigate potential confounders. By classifying UKB patients into MDD first and PD first groups, we evaluated the health impact of the comorbidity sequence using Cox regression. Bidirectional MR and cohort study showed conflicting results. MR did not find associations between MDD followed by PD (odds ratio [OR] = 1.28, 95 % confidence interval [CI] = 0.85-1.94) or PD followed by MDD (OR = 0.99, 95 % CI = 0.97-1.01). However, the cohort study found a significant effect of MDD on PD (hazard ratio [HR] = 1.75, 95 % CI = 1.55-1.97) and PD on MDD (HR = 4.35, 95 % CI = 3.65-5.19). By performing MR on 4709 proteins, we identified ESD, LEAP2, NDRG3, NRXN3, and PLXNB2 as potential common causes of MDD and PD. Additionally, PD first group had higher risks of all-cause mortality (HR = 1.65, 95 % CI = 1.03-1.90), dementia (HR = 1.88, 95 % CI = 1.16-3.04), and aspiration pneumonia (HR = 1.89, 95 % CI = 1.09-3.27). Our study suggested the comorbidity of MDD and PD is likely the result of certain pathological processes. Additionally, patients with PD first had higher risks of several adverse outcomes. Show less

Rhabdomyosarcoma (RMS) is the most common pediatric soft tissue sarcoma. FOXO1 fusion indicates poor prognosis and lead to dysregulation of transcriptioanal network. This study aims to investigate clinical characteristics and therapeutic targets concerning FOXO1 fusion status. 65 pediatric RMS patients were enrolled. Clinical data were analyzed using Kaplan-Meier estimates and Cox regression. Surgically resected tumor tissues were subject to single-cell RNA sequencing (scRNA-seq). Patient-derived xenograft (PDX) was establish and dissociated to cells for high-throughput drug screening. Among the 65 patinets (36 patients with embryonal RMSs (ERMSs), 15 patients with alveolar RMSs (ARMSs) and 14 patients with other types of RMSs), 73.3% of ARMSs were defined as fusion positive (FP) while 6 ERMS (ERMS)s were also FP. Cox regression analysis identified FOXO1 fusion as a risk factor alone and combined with pathologic subtype, sex and age or metastasis status. scRNA-seq revealed distinct transcription factor networks between FP and FN RMS, showing up-regulated activity of OLIG2, NHLH1, SNAI1, TFF3 and other TFs related to neural development and differentiation. MAPK, PI3K-Akt, and mTOR pathways were enriched in FP-RMS tumor cells. High-throughput drug screening of PDX-derived cells identified sensitive drugs targeting FP-RMS specific signatures. AMG-337 was selected and validated for its anti-tumor effect. FOXO1 fusion status influences RMS clinical outcomes, including rare FP-ERMS cases. scRNA-seq combined with drug screening identified MET as a promising therapeutic target in FP-RMS. Show less

Transforming growth factor-β (TGF-β) plays well-established roles in cancer cell invasion and epithelial-mesenchymal transition (EMT); however, its role in thyroid carcinoma (TC) remains unclear. This study aimed to evaluate the effects of TGF-β on EMT in TC and determine its underlying mechanisms. Treatment of TC cell lines with TGF-β the morphology of thyroid cancer cells changed, Immunofluorescence staining revealed that the localization of E-cadherin shifted from the cell membrane to the cytoplasm, and the fluorescence intensity decreases. Wound-healing assay in BCPAP and TPC-1 revealed that migration ability was significantly higher in the TGF-β (5 ng/mL) treatment group than in the control group (P < 0.01). Transwell assays showed that the invasive abilities of TGF-β-treated BCPAP, TPC-1, and K1 cells were 7-, 10-, and 6-fold higher than those of the control group, respectively (P < 0.05). After TGF-β treatment, mRNA levels of SNAI1 significantly increased in TPC-1 and BCPAP cell lines. Treatment of TC cell lines with TGF-β downregulated the epithelial marker E-cadherin and upregulated the mesenchymal markers N-cadherin and vimentin, at the mRNA level. Western blotting indicated similar results at the protein level, TSH could enhance this process. TGF-β promotes EMT-like phenotypic changes in thyroid cancer cells, accompanied by upregulation of SNAI1 and EMT-related markers, which is enhanced by TSH. Overall, this study provides a basis for the development of therapeutic strategies for TC targeting the EMT. Show less

Lipid remodeling is crucial for cold tolerance in plants. However, the precise alternations of lipidomics during cold responses remain elusive, especially in maize (Zea mays L.). In addition, the key genes responsible for cold tolerance in maize lipid metabolism have not been identified. Here, we integrate lipidomic, transcriptomic, and genetic analysis to determine the profile of lipid remodeling caused by cold stress. We find that the homeostasis of cellular lipid metabolism is essential for maintaining cold tolerance of maize. Also, we detect 210 lipid species belonging to 13 major classes, covering phospholipids, glycerides, glycolipids, and free fatty acids. Various lipid metabolites undergo specific and selective alterations in response to cold stress, especially mono-/di-unsaturated lysophosphatidic acid, lysophosphatidylcholine, phosphatidylcholine, and phosphatidylinositol, as well as polyunsaturated phosphatidic acid, monogalactosyldiacylglycerol, diacylglycerol, and triacylglycerol. In addition, we identify a subset of key enzymes, including ketoacyl-acyl-carrier protein synthase II (KAS II), acyl-carrier protein 2 (ACP2), male sterility33 (Ms33), and stearoyl-acyl-carrier protein desaturase 2 (SAD2) involved in glycerolipid biosynthetic pathways are positive regulators of maize cold tolerance. These results reveal a comprehensive lipidomic profile during the cold response of maize and provide genetic resources for enhancing cold tolerance in crops. Show less

The excessive accumulation of abdominal fat in chickens has resulted in a reduction in both the feed conversion efficiency and the slaughter yield. To elucidate the regulatory mechanisms and metabolic pathways affecting abdominal fat deposition in the context of broiler breeding, a cohort of 400 Qingyuan partridge chickens with varying abdominal fat deposition was established. Whole transcriptome sequencing analyses were conducted on the duodenum of 20 representative chickens to ascertain the regulatory networks at this vital digestive and absorptive organ. Consequently, 116 differentially expressed genes were identified, exhibiting a trend of increasing or decreasing expression in correlation with the accumulation of abdominal fat. A total of 36 DEmRNAs, 170 DElncRNAs, 92 DEcircRNAs and 88 DEmiRNAs were identified as differentially expressed between chickens with extremely high and low abdominal fat deposition. The functional enrichment analyses demonstrated that the differentially expressed RNA in the duodenum were involved in the regulation of chicken abdominal fat deposition by mediating a series of metabolic pathways, including the Wnt signaling pathway, the PPAR signaling pathway, the Hippo signaling pathway, the FoxO signaling pathway, the MAPK signaling pathway and other signaling pathways that are involved in fatty acid metabolism and degradation. The construction of putative interaction pairs led to the suggestion of two lncRNA-miRNA-mRNA ceRNA networks comprising two mRNAs, two miRNAs, and 29 lncRNAs, as well as two circRNA-lncRNA-miRNA-mRNA ceRNA networks comprising 26 mRNAs, 12 miRNAs, 17 lncRNAs, and nine circRNAs, as core regulatory networks in the duodenum affecting chicken abdominal fat deposition. The aforementioned genes including TMEM150C, REXO1, PIK3C2G, ppp1cb, PARP12, SERPINE2, LRAT, CYP1A1, INSR and APOA4, were proposed as candidate genes, while the miRNAs, including miR-107-y, miR-22-y, miR-25-y, miR-2404-x and miR-16-x, as well as lncRNAs such as ENSGALT00000100291, TCONS₀₀₀₆₃₅₀₈, TCONS₀₀₀₆₁₂₀₁ and TCONS₀₀₀₇₉₄₀₂ were the candidate regulators associated with chicken abdominal fat deposition. The findings of this study provide a theoretical foundation for the molecular mechanisms of mRNAs and non-coding RNAs in duodenal tissues on abdominal fat deposition in chickens. Show less

Although platinum-based chemotherapy is the frontline regimen for colorectal cancer (CRC), drug resistance remains a major challenge affecting its therapeutic efficiency. However, there is limited research on the correlation between chemotherapy resistance and lipid metabolism, including PIK3CA mutant tumors. In this present study, we found that PIK3CA-E545K mutation attenuated cell apoptosis and increased the cell viability of CRC with L-OHP treatment Show less

Previous observational studies have explored the association between serum lipids, apolipoproteins, and adverse ventricular/aortic structure and function. However, whether a causal link exists is uncertain. This study employed a two-sample Mendelian randomization (MR), colocalization, reverse, and multivariable MR (MVMR) approach to examine the causal associations among five serum lipids, two apolipoproteins, and 32 cardiac magnetic resonance (CMR) traits. Utilizing single-nucleotide polymorphisms (SNPs) linked to serum lipids and apolipoproteins as instrumental variables. CMR traits from seven independent genome-wide association studies served as preclinical endophenotypes, offering insights into aortic and cardiac structure/function. The primary analysis utilized a random-effects inverse variance method (IVW), followed by sensitivity and validation analyses. In the primary IVW MR analyses, genetically predicted low-density lipoprotein cholesterol (LDL-C) levels were positively correlated with increased descending aorta strain (DAo strain) (β = 0.098; P = 2.69E-07) and ascending aorta strain (AAo strain) (β = 0.079; P = 5.19E-05). Genetically predicted high-density lipoprotein cholesterol (HDL-C) levels were positively correlated with left ventricular radial peak diastolic strain rate (LV-PDSRll) (β = 0.176; P = 2.89E-05) and the left ventricular longitudinal peak diastolic strain rate (LV-PDSRrr) (β = 0.059; P = 2.44E-06), and negatively correlated with left ventricular regional wall thickness (LVRWT). While apolipoprotein B (ApoB) levels were positively correlated with AAo strain (β = 0.076; P = 1.16E-05), DAo strain (β = 0.065; P = 2.77E-05). A shared causal variant was identified to demonstrate the associations of ApoB with AAo strain and DAo strain using colocalization analysis. Sensitivity analyses confirmed the robustness of these associations. Targeting lipid and apolipoprotein levels through interventions may provide novel strategies for the primary prevention of CVDs. Show less

Tanshinone I (Tan I) has been proven to exert an anti-inflammatory effect, but the complete mechanism remains unclear. In this study, Tan I was described to have no effect on Syk expression in resting or LPS-stimulated macrophages ex vivo, but dramatically suppressed Syk phosphorylation and CD80, CD86, and IL-1β expression of macrophages. The inflammatory activity of macrophages in ApoC3-transgenic (ApoC3 Show less

Isoliquiritigenin (ISL) is a chalcone-type flavonoid derived from the root of licorice with antioxidant, anti-inflammatory, anti-tumour and neuroprotective properties. ISL has been proven to downregulate the productions of IL-1β, TNF-α and IL-6 by macrophages. However, detailed molecular mechanisms of this modulation remain elusive. Here, ISL suppressed Syk phosphorylation and CD80, CD86, IL-1β, TNF-α and IL-6 expressions in lipopolysaccharide-stimulated macrophages ex vivo. ApoC3-transgenic (ApoC3 Show less

To assess the effect of catalpol, the major bioactive constituents of We employed the immortalized lymphocytes (lymphoblastoid cell line, LCL) from late-onset AD patients and co-cultured "them" to mimic the pathological process of late-onset AD and investigated the effect of catalpol on our AD In the co-culture model, AD-derived LCL triggered excessive Aβ1-42 in SKNMC cells due to its high levels of oxidative stress and resulted in neuronal oxidative stress injury through inhibiting Keap1-Nrf2/ARE signaling pathway. Treatment with catalpol and N-acetylcysteine (NAC), an antioxidant, prevented the AD LCL-induced Aβ1-42 overproduction and reduced the level of β-site amyloid precursor protein cleaving enzyme-1 (BACE1) and amyloid precursor protein (APP)-C99. Catalpol and NAC also enhanced the antioxidant capacity and reduced apoptosis in SKNMC cells co-cultured with AD LCL. The anti-oxidative effect of catalpol was antagonized by ML385, the Nrf2 inhibitor. Therefore, we speculate that the antioxidant and anti-apoptotic effects of catalpol are mediated by activating the Keap1-Nrf2/ARE signaling pathway. Catalpol affects the anti-Aβ generation and the antioxidative and antiapoptotic properties in the AD co-cultured model. So, it might be a novel natural drug and offer a potential therapeutic approach for AD. Show less

Accurate molecular representation of compounds is a fundamental challenge for prediction of drug targets and molecular properties. In this study, we present a molecular video-based foundation model, named VideoMol, pretrained on 120 million frames of 2 million unlabeled drug-like and bioactive molecules. VideoMol renders each molecule as a video with 60-frame and designs three self-supervised learning strategies on molecular videos to capture molecular representation. We show high performance of VideoMol in predicting molecular targets and properties across 43 drug discovery benchmark datasets. VideoMol achieves high accuracy in identifying antiviral molecules against common diverse disease-specific drug targets (i.e., BACE1 and EP4). Drugs screened by VideoMol show better binding affinity than molecular docking, revealing the effectiveness in understanding the three-dimensional structure of molecules. We further illustrate interpretability of VideoMol using key chemical substructures. Show less

Kashmir cattle, which were kept by local pastoralists for centuries, are exceptionally resilient and adaptive to harsh environments. Despite its significance, the genomic characteristics of this cattle breed remain elusive. This study utilized whole genome sequences of Kashmir cattle (n = 20; newly sequenced) alongside published whole genomes of 32 distinct breeds and seven core cattle populations (n = 135). The analysis identified ~25.87 million biallelic single nucleotide polymorphisms in Kashmir cattle, predominantly in intergenic and intron regions. Population structure analyses revealed distinct clustering patterns of Kashmir cattle with proximity to the South Asian, African and Chinese indicine cattle populations. Genetic diversity analysis of Kashmir cattle demonstrated lower inbreeding and greater nucleotide diversity than analyzed global breeds. Homozygosity runs indicated less consanguineous mating in Kashmir cattle compared with European taurine breeds. Furthermore, six selection sweep detection methods were used within Kashmir cattle and other cattle populations to identify genes associated with vital traits, including immunity (BOLA-DQA5, BOLA-DQB, TNFAIP8L, FCRL4, AOAH, HIF1AN, FBXL3, MPEG1, CDC40, etc.), reproduction (GOLGA4, BRWD1, OSBP2, LEO1 ADCY5, etc.), growth (ADPRHL1, NRG2, TCF12, TMOD4, GBP4, IGF2, RSPO3, SCD, etc.), milk composition (MRPS30 and CSF1) and high-altitude adaptation (EDNRA, ITPR2, AGBL4 and SCG3). These findings provide essential genetic insights into the characteristics and establish the foundation for the scientific conservation and utilization of Kashmir cattle breed. Show less

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide and lacks biomarkers for personalized therapy. Herein, it is reported that MCB1 could be a novel oncofetal protein that is upregulated in the preneoplastic lesions and serum of early HCC patients. Functional studies reveal that MCB1 modulated p53 protein degradation to promote T-IC generation and drive HCC initiation. Furthermore, the MCB1/p53 axis is shown to determine the responses of hepatoma cells to conventional chemotherapeutics and predict transcatheter arterial chemoembolization (TACE) benefits in patients. Importantly, MCB1 can mediate sorafenib/lenvatinib resistance by downregulating two essential drug targets fibroblast growth factor receptor 1 (FGFR1) and vascular endothelial growth factor receptor 3 (VEGFR3) expression in a proteasome-dependent manner. Patient-derived tumor organoids (PDOs), patient-derived xenografts (PDXs), and patient cohorts analysis suggested that MCB1 levels in HCCs may determine the distinct responses to conventional therapeutics and targeted drugs. Furthermore, treatment of targeted drugs-resistant HCC with adeno-associated virus (AAV) targeting MCB1 or a proteasome inhibitor restores targeted drug response, suggesting their clinical significance in HCC combinational therapy. In conclusion, these findings demonstrate that MCB1 could act as a driver for HCC initiation, a contributor to drug resistance, and a biomarker for individualized HCC therapy. Show less

The aberrant activation of FGFRs plays a critical role in various cancers, leading to the development of several FGFR inhibitors in clinic. However, the emergence of drug resistance, primarily due to gatekeeper mutations in FGFRs, has limited their clinical efficacy. To address the unmet medical need, a series of 5-amino-1H-pyrazole-4-carboxamide derivatives were designed and synthesized as novel pan-FGFR covalent inhibitors targeting both wild-type and the gatekeeper mutants. The representative compound 10h demonstrated nanomolar activities against FGFR1, FGFR2, FGFR3 and FGFR2 V564F gatekeeper mutant in biochemical assays (IC Show less

Carcass traits are crucial indicators of meat production efficiency. However, the molecular regulatory mechanisms associated with these traits remain unclear. In this study, we conducted comprehensive transcriptomic and genomic analyses on 399 Tiannong partridge chickens to identify key genes and variants associated with carcass traits and to elucidate the underlying regulatory mechanisms. Based on association analyses with the elastic net (EN) model, we identified 12 candidate genes (AMY1A, AP3B2, CEBPG, EEF2, EIF4EBP1, FGFR1, FOXD3, GOLM1, LOC107052698, PABPC1, SERPINB6 and TBC1D16) for 4 carcass-related traits, namely live weight, dressed weight, eviscerated weight, and breast muscle weight. SERPINB6 was identified as the only overlapping gene by 3 analyses, EN model analysis, weighted gene co-expression network analysis and differential expression analysis. Cell-level experiments confirmed that SERPINB6 promotes the proliferation of chicken DF1 cells and primary myoblasts. Further expression genome-wide association study and association analysis indicated that rs317934171 is the critical site that enhances SERPINB6 expression. Furthermore, a dual-luciferase reporter assay proved that gga-miR-1615 targets the 3'UTR of SERPINB6. Collectively, our findings reveal that SERPINB6 serves as a novel gene for chicken carcass traits by promoting fibroblast and myoblast proliferation. Additionally, the downstream variant rs317934171 regulates SERPINB6 expression. These results identify a new target gene and molecular marker for the molecular mechanisms of chicken carcass traits. Show less

Only rare cases of acute myeloid leukemia (AML) have been shown to harbor a t(8;11)(p11.2;p15.4). This translocation is believed to involve the fusion of NSD3 or FGFR1 with NUP98; however, apart from targeted mRNA quantitative PCR analysis, no molecular approaches have been utilized to define the chimeric fusions present in these rare cases. Here we present the case of a 51-year-old female with AML with myelodysplastic-related morphologic changes, 13q deletion and t(8;11), where initial fluorescence in situ hybridization (FISH) assays were consistent with the presence of NUP98 and FGFR1 rearrangements, and suggestive of NUP98/FGFR1 fusion. Using a streamlined clinical whole-genome sequencing approach, we resolved the breakpoints of this translocation to intron 4 of NSD3 and intron 12 of NUP98, indicating NUP98/NSD3 rearrangement as the likely underlying aberration. Furthermore, our approach identified small variants in WT1 and STAG2, as well as an interstitial deletion on the short arm of chromosome 12, which were cryptic in G-banded chromosomes. NUP98 fusions in acute leukemia are predictive of poor prognosis. The associated fusion partner and the presence of co-occurring mutations, such as WT1, further refine this prognosis with potential clinical implications. Using a clinical whole-genome sequencing analysis, we resolved t(8;11) breakpoints to NSD3 and NUP98, ruling out the involvement of FGFR1 suggested by FISH while also identifying multiple chromosomal and sequence level aberrations. Show less

Fibroblast-like synoviocytes (FLSs) contribute to inflammation and joint damage in rheumatoid arthritis (RA). However, the regulatory mechanisms of FLSs in relapse and remission of RA remain unknown. Identifying FLS heterogeneity and their underlying pathogenic roles may lead to discovering novel disease-modifying antirheumatic drugs. Combining single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics, we sequenced six matched synovial tissue samples from three patients with relapse RA and three patients in remission. We analyzed the differences in the transcriptomes of the FLS subsets between the relapse and remitted phases. We validated several key signaling pathways using quantitative real-time PCR (qPCR) and multiplex immunohistochemistry (mIHC). We further targeted the critical signals in vitro and in vivo using the collagen-induced arthritis (CIA) model in rats. Lining and sublining FLS subsets were identified using scRNA-seq. Differential analyses indicated that the fibroblast growth factor (FGF) pathway was highly activated in the lining FLSs from patients with relapse RA for which mIHC confirmed the increased expression of FGF10. Although the type I interferon pathway was also activated in the lining FLSs, in vitro stimulation experiment suggested that it was independent of the FGF10 pathway. FGF10 knockdown by small interfering RNA in FLSs significantly reduced the expression of receptor activator of NF-κB ligand. Moreover, recombinant FGF10 protein enhanced bone erosion in the primary human-derived pannus cell culture, whereas the FGF receptor (FGFR) 1 inhibitor attenuated this process. Finally, administering an FGFR1 inhibitor displayed a therapeutic effect in a CIA rat model. The FGF pathway is a critical signaling pathway in relapse RA. Targeted tissue-specific inhibition of FGF10/FGFR1 may provide new opportunities to treat patients with relapse RA. Show less

The efficacy of immune checkpoint inhibitors in the treatment of hepatocellular carcinoma (HCC) remains limited, highlighting the need for further investigation into the mechanisms underlying treatment resistance. Accumulating evidence indicates that tumor-associated macrophages (TAM) within the tumor microenvironment demonstrate a key role in immune evasion and treatment resistance. This study explored the role of TAMs in the HCC tumor microenvironment. Our findings reveal that TAMs expressing CX3C motif chemokine receptor 1 (CX3CR1) induced T-cell exhaustion through IL27 secretion in orthotopic models of HCC following treatment with anti-PD1. Moreover, we identified prostaglandin E2 (PGE2), released by immune-attacked tumor cells, as a key regulator of TAM transition to a CX3CR1+ phenotype. To augment the therapeutic response to anti-PD1 therapy, we propose targeting CX3CR1+ TAMs in addition to anti-PD1 therapy. Our study contributes to the understanding of the role of TAMs in cancer immunotherapy and highlights potential clinical implications for HCC treatment. The combination of targeting CX3CR1+ TAMs with anti-PD1 therapy holds promise for enhancing the efficacy of immunotherapeutic interventions in patients with HCC. Show less

We investigated the characteristics of the microbial community of the nasal sinuses in patients with chronic rhinosinusitis with nasal polyps (CRSwNP) and identified the correlations of the nasal microbiome with the inflammatory microenvironment of the nasal cavity. We collected matched nasal secretion and polyp tissue samples from 77 CRSwNP patients. Then, we extracted microbial DNA from cotton swabs, used high-throughput sequencing technology based on 16S ribosomal RNA (rRNA) to detect the bacterial community composition, and detected cytokines such as interleukin (IL)-5, IL-8, IL-17a, IL-17e, IL-18, IL-27 and interferon (INF)-gamma in the polyp tissue samples using Luminex. Eosinophils and neutrophils in the peripheral blood and polyp tissue were counted, and the relationships between inflammatory factors or inflammatory cell counts and nasal microbial diversity were analyzed. Among the inflammatory factors evaluated, IL-5 had a positive rate of 32.47%, IFN-γ had a positive rate of 84.42%, IL-17A and IL-17E had positive rates of 75.32%, IL-18 had a positive rate of 94.81%, IL-27 had a positive rate of 68.83%, and IL-8 had a positive rate of 100%. IL-17a and IL-27 were negatively correlated with both Enterobacter and Anaerococcus, IL-8 was negatively correlated with both Enterobacter and Staphylococcus, IL-18 was positively correlated with Candidatus Arthromitus and negatively correlated with Haemophilus, and IL-27 was positively correlated with Faecalibaculum. Lactobacillus and Enterococcus were positively correlated with the degree of neutrophil infiltration in nasal polyp tissue. In Southwest China, inflammation of the nasal polyps exhibits a variety of patterns. Enterobacteria and anaerobic bacteria may be correlated with the inflammatory pattern of nasal polyps. The neutrophil-mediated inflammatory response plays an important role in patients with CRSwNP in Southwest China. Show less

Cerebral palsy (CP) is a prevalent motor disorder originating from early brain injury or malformation, with significant variability in its clinical presentation and etiology. Early diagnosis and personalized therapeutic interventions are hindered by the lack of reliable biomarkers. This study aims to identify potential biomarkers for cerebral palsy and develop predictive models to enhance early diagnosis and prognosis. We conducted a comprehensive bioinformatics analysis of gene expression profiles in muscle samples from CP patients to identify candidate biomarkers. Six key genes (CKMT2, TNNT2, MYH4, MYH1, GOT1, and LPL) were validated in an independent cohort, and potential biological pathways and molecular networks involved in CP pathogenesis were analyzed. The importance of processes such as functional regulation, energy metabolism, and cell signaling pathways in the muscles of CP patients was emphasized. Predictive models of muscle sample biomarkers related to CP were developed and visualized. Calibration curves and receiver operating characteristic analysis demonstrated that the predictive models exhibit high sensitivity and specificity in distinguishing individuals at risk of CP. The identified biomarkers and developed prediction models offer significant potential for early diagnosis and personalized management of CP. Future research should focus on validating these biomarkers in larger cohorts and integrating them into clinical practice to improve outcomes for individuals with CP. Show less

Gastrointestinal symptoms constitute a frequent complication in postoperative patients with valvular heart disease (VHD), impacting their postoperative recovery. Probiotics contribute to regulating human gut microbiota balance and alleviating postoperative gastrointestinal symptoms. Our objective involved assessing the potential of Show less

Foam cell formation is a hallmark of atherosclerosis, yet the cellular complexity within foam cells in human plaques remains unexplored. Here, we integrate published single-cell RNA-sequencing, spatial transcriptomic, and chromatin accessibility sequencing datasets of human atherosclerotic lesions across eight distinct studies. Through this large-scale integration of patient-derived information, we identified foamy macrophages enriched for genes characteristic of the foamy signature. We further re-clustered the foamy macrophages into five unique subsets with distinct potential functions: (i) pro-foamy macrophages, exhibiting relatively high inflammatory and adhesive properties; (ii) phagocytic foamy macrophages, specialized in efferocytosis; (iii) high-efflux foamy macrophages marked by high Show less

Genome-wide association studies have identified dozens of genetic risk loci for Alzheimer's disease (AD), yet the underlying causal variants and biological mechanisms remain elusive, especially for loci with complex linkage disequilibrium and regulation. To fully untangle the causal signal at a single locus, we performed a functional genomic study of 11p11.2 (the CELF1/SPI1 locus). Genome-wide association study signals at 11p11.2 were integrated with datasets of histone modification, open chromatin, and transcription factor binding to distill potentially functional variants (fVars). Their allelic regulatory activities were confirmed by allele imbalance, reporter assays, and base editing. Expressional quantitative trait loci and chromatin interaction data were incorporated to assign target genes to fVars. The relevance of these genes to AD was assessed by convergent functional genomics using bulk brain and single-cell transcriptomic, epigenomic, and proteomic datasets of patients with AD and control individuals, followed by cellular assays. We found that 24 potential fVars, rather than a single variant, were responsible for the risk of 11p11.2. These fVars modulated transcription factor binding and regulated multiple genes by long-range chromatin interactions. Besides SPI1, convergent evidence indicated that 6 target genes (MTCH2, ACP2, NDUFS3, PSMC3, C1QTNF4, and MADD) of fVars were likely to be involved in AD development. Disruption of each gene led to cellular amyloid-β and phosphorylated tau changes, supporting the existence of multiple likely causal genes at 11p11.2. Multiple variants and genes at 11p11.2 may contribute to AD risk. This finding provides new insights into the mechanistic and therapeutic challenges of AD. Show less

Angiopoietin-like 4 (ANGPTL4) is a potent regulator of TAG metabolism, but knowledge of the mechanisms underlying ANGPTL4 transcription in response to fatty acids is still limited in teleost. In the current study, we explored the molecular characterisation of ANGPTL4 and regulatory mechanisms of ANGPTL4 in response to fatty acids in large yellow croaker ( Show less

Inflammation may mediate the co-pathogenesis of rheumatoid arthritis (RA) and depression because inflammatory cytokines are associated with RA and depression. However, traditional observational research was not able to address problems with residual confusion and reverse causality. We summarized and retrieved 28 inflammatory cytokines associated with RA, depression, or RA with depression through a literature search. The summary statistics from genome-wide association studies for RA, inflammatory biomarkers, broad depression, and major depression disease phenotypes were used. Mendelian randomization was performed to assess the causal association between RA and inflammatory biomarkers, as well as the effects of inflammatory biomarkers on depression. Bonferroni correction was used to reduce the possibility of false positive results. The study found that evidence for associations of genetically predicted RA was associated with higher levels of interleukin (IL)-9 (OR = 1.035, 95%CI = 1.002-1.068, P = 0.027), IL-12 (OR = 1.045, 95%CI = 1.045-1.014, P = 0.004), IL-13 (OR = 1.060, 95%CI = 1.028-1.092, P = 0.0001), IL-20 (OR = 1.037, 95%CI = 1.001-1.074, P = 0.047), and IL-27 (OR = 1.017, 95%CI = 1.003-1.032, P = 0.021). The level of IL-7 (OR = 1.029, 95%CI = 1.018-1.436, P = 0.030) was significantly related to RA. Only the analysis results between RA and IL-13 were satisfied with the statistical significance threshold corrected by Bonferroni (P < 0.002). However, a causal effect was not found between inflammatory biomarkers and depression. In the current study the inflammatory cytokines associated with RA comorbid depression may not be the mediators that directly lead to the co-pathogenesis of RA and depression. Show less