Clinical and Experimental Medicine最新文献

{"title":"ITM2A promotes thyroid cancer differentiation through metabolic reprogramming and enhances PD-L1-dependent T-cell responses.","authors":"Wuhui Sun, Cheng Xiang, Yaqun Wang","doi":"10.1007/s10238-026-02229-w","DOIUrl":"10.1007/s10238-026-02229-w","url":null,"abstract":"<p><p>The differentiation status of thyroid cancer (THCA) is closely associated with prognosis; however, the underlying molecular regulatory mechanisms remain incompletely understood. This study aimed to identify hub genes associated with THCA differentiation based on progression-free interval (PFI)-related genes and to explore the underlying mechanisms. The common database datasets were integrated to identify differentially expressed genes, and univariate Cox regression analysis was performed to determine PFI-related genes. Molecular subtypes were constructed using consensus clustering based on PFI-related genes, and the differentiation status of different subtypes was evaluated. Hub genes were subsequently identified using least absolute shrinkage and selection operator (Lasso) regression and multivariate Cox regression analyses. In vitro experiments were conducted to validate the role of the hub gene in regulating dedifferentiation. Two PFI-related molecular subtypes were identified in this study. Cluster 2 exhibited a higher thyroid differentiation score (TDS), more favorable PFI outcomes, and metabolic features predominantly characterized by oxidative phosphorylation (OXPHOS) and fatty acid oxidation (FAO). ITM2A was identified as a hub gene. High expression of ITM2A promoted differentiation of THCA cells, suppressed malignant characteristics, and drove a metabolic shift from glycolysis toward FAO. In addition, ITM2A counteracted TGF-β-induced dedifferentiation and epithelial-mesenchymal transition, and enhanced antigen presentation as well as PD-L1-dependent T-cell responses. ITM2A maintained the differentiated state of THCA through metabolic reprogramming and shaped an immunologically favorable microenvironment, suggesting that it may serve as a potential biomarker for prognosis prediction and a therapeutic target for optimizing immunotherapy strategies.</p>","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13522003/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148301151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a multimodal machine learning prediction model for heart failure after acute myocardial infarction.","authors":"Xiaojun Wu, Haoning Cui, Shiyu Wang, Xianghui Zheng, Xinyu Hou, Liyan Ran, Jiaqi Liu, Zhuozhong Wang, Meiqiao Ren, Jing Yao, Huan Ma, Yang Zheng, Jian Wu, Bo Yu","doi":"10.1007/s10238-026-02230-3","DOIUrl":"10.1007/s10238-026-02230-3","url":null,"abstract":"<p><p>Heart failure after acute myocardial infarction (post-MI HF) has become a major global health problem. Accurate risk prediction is essential for optimising management and preventing post-MI HF. However, existing models rely mainly on resting-state clinical examinations and inadequately reflect the complex pathophysiology of post-MI HF. We aimed to develop and validate a multimodal machine learning (ML) model incorporating cardiopulmonary exercise testing (CPET) data to predict post-MI HF risk and to quantify CPET's incremental value.This study included 3172 acute myocardial infarction (AMI) patients who underwent CPET at three hospitals from 2018 to 2023. The primary outcome was post-MI HF within 1 year. Thirteen ML algorithms were used to select clinical and CPET variables and to construct multimodal prediction models. The incremental predictive value of CPET was evaluated by the area under the curve (AUC), integrated discrimination improvement index (IDI), and net reclassification improvement index (NRI).After screening, 2221 patients were included, of whom 221 (10.0%) developed post-MI HF. The optimal multimodal ML model achieved an AUC of 0.987 (95% CI: 0.982-0.992) in training set and 0.929 (95% CI: 0.903-0.955) in external validation set. Ablation analyses showed that CPET significantly improved discrimination (AUC: 0.890 vs. 0.929, P=0.003), calibration (IDI=0.135 [95% CI: 0.082-0.189], P<0.001), and reclassification (NRI=0.154 [95% CI: 0.073-0.234], P<0.001). The model effectively stratified low- and high-risk patients (3.1% vs. 54.7%, P<0.001). The multimodal ML model accurately predicted post-MI HF and highlighted the additive value of CPET in risk stratification. The web-based risk calculator derived from this model may support early identification of high-risk patients and facilitate personalised management.</p>","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13534164/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of circadian rhythm-associated key genes in metabolic dysfunction-associated fatty liver disease.","authors":"Jinbo Luo, Xiuying Ma, Quanyu Wang, Ruyi Zhang, Ling Zhu, Xue Feng, Wenxue Wang, Jiawei Geng","doi":"10.1007/s10238-026-02234-z","DOIUrl":"10.1007/s10238-026-02234-z","url":null,"abstract":"<p><p>As of now, current studies have confirmed that circadian rhythm genes (CRGs) can modulate the onset and development of metabolic dysfunction-associated fatty liver disease (MAFLD). Leveraging computational biology methodologies, systematic and thorough investigations into MAFLD and CRGs enhance our capacity to gain deeper insights into the disease's pathogenic mechanisms. MAFLD-associated datasets (GSE89632 and GSE126848) and 248 circadian rhythm genes genes (CRGs) were analyzed. Principal component analysis (PCA) was performed on the GSE89632 dataset, and samples were divided into training and test sets. Differentially expressed genes (DEGs) from the training set were intersected with key module genes from WGCNA to identify intersection genes. These were then analyzed for expression consistency across datasets, followed by machine learning to identify key genes. Further analyses, including nomogram development, gene set enrichment analysis (GSEA), immune infiltration, and drug prediction, were also conducted. Four outliers were excluded, leaving 17 MAFLD and 22 control samples for analysis. 141 intersection genes were identified, with 36 showing consistent expression trends. Machine learning identified SOCS2, FBXO27, and HMMR as key genes. A nomogram based on these genes predicted MAFLD patient survival. GSEA revealed significant enrichment in pathways like olfactory transduction and peroxisome. Mast cell activation correlated strongly with SOCS2 and FBXO27. SOCS2, FBXO27, and HMMR are identified as key genes in MAFLD, providing new insights into the disease mechanisms.</p>","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13427810/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"No serological association between Porphyromonas gingivalis or Prevotella intermedia and early spondyloarthritis: analysis from the DESIR cohort.","authors":"Franck Zekre, Tiphany Neel, Mireille Paul, Myriam Normand, Anne Tournadre, Hubert Marotte","doi":"10.1007/s10238-026-02204-5","DOIUrl":"10.1007/s10238-026-02204-5","url":null,"abstract":"<p><p>Porphyromonas gingivalis and Prevotella intermedia are key oral pathogens implicated in periodontal disease and have been associated with rheumatoid arthritis and specific categories of juvenile idiopathic arthritis. Whether oral dysbiosis involving Porphyromonas gingivalis or Prevotella intermedia contributes to axial spondyloarthritis pathogenesis remains unclear. We evaluated Porphyromonas gingivalis- and Prevotella intermedia-specific IgG titres across early axial spondyloarthritis phenotypes within the DESIR cohort and assessed the potential influence of smoking status. Serum samples from 554 participants in the DESIR cohort were analyzed. Anti-Porphyromonas gingivalis and anti-Prevotella intermedia IgG titres were measured using a validated in-house enzyme-linked immunosorbent assay. Patients were classified into axial spondyloarthritis, axial spondyloarthritis with psoriasis, axial spondyloarthritis with inflammatory bowel disease, undifferentiated axial spondyloarthritis, or chronic low back pain controls. Antibody titres were compared using non-parametric tests. In addition, multivariable logistic and linear regression analyses were performed adjusting for age, sex, BMI and smoking status. Anti-Porphyromonas gingivalis and anti-Prevotella intermedia IgG titres did not differ significantly across axial spondyloarthritis phenotypes or between axial spondyloarthritis subgroups and chronic low back pain controls (Porphyromonas gingivalis: p = 0.622; Prevotella intermedia: p = 0.491). These findings remained unchanged after multivariable adjustment for age, sex, BMI, and smoking status (all p > 0.1). Smoking status did not influence serological patterns in any group. Distributional analyses confirmed strong overlap in antibody titres across all phenotypes, with no subgroup showing a distinct P. gingivalis or P. intermedia serological signature. In this large early axial spondyloarthritis cohort, antibody responses to Porphyromonas gingivalis and Prevotella intermedia did not differ across phenotypes and showed no detectable serological association with axSpA. These findings did not support a major role of Porphyromonas gingivalis - or Prevotella intermedia-related systemic humoral responses in early axial spondyloarthritis, although they did not exclude a broader role of mucosal dysbiosis in disease pathogenesis.</p>","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13538221/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inflammatory blood count ratios discriminate disease activity and remain persistently elevated during glucocorticoid-free remission in ANCA-associated vasculitis.","authors":"Federica Davanzo, Luca Iorio, Michela Pelloso, Veronica Davanzo, Roberta Prevedello, Andrea Padoan, Chiara Baggio, Francesca Oliviero, Roberta Ramonda, Martina Montagnana, Roberto Padoan","doi":"10.1007/s10238-026-02236-x","DOIUrl":"10.1007/s10238-026-02236-x","url":null,"abstract":"<p><p>Inflammatory ratios derived from routine complete blood counts, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), have been proposed as activity markers in ANCA-associated vasculitis (AAV), but their interpretation is limited by heterogeneous sampling and treatment-related confounding. We conducted a single-center cross-sectional study including adult patients with granulomatosis with polyangiitis (GPA) or microscopic polyangiitis (MPA). Patients were sampled during active disease (new-onset prior to induction or relapse prior to escalation) or during stringent glucocorticoid-free remission (BVASv3 = 0). Healthy controls (HCs) were included for secondary comparisons. Ratios were compared across groups and correlated with BVASv3 and c-reactive protein (CRP). Between-group differences (active vs. remission; remission vs. healthy controls) were additionally quantified using age- and sex-adjusted log-linear models (log-transformed outcomes), reported as ratios of geometric means. Discriminative performance for active disease versus remission was assessed using unadjusted ROC analyses and age- and sex-adjusted logistic regression models. Sensitivity analyses stratified remission by maintenance immunosuppression at sampling. The study included 99 AAV patients (28 active, 71 remission) and 258 HCs. NLR, PLR, and MLR were significantly higher in active disease than in remission (all p ≤ 0.004), and remained significantly higher after age/sex adjustment in log-linear models (geometric mean ratios [Active/Remission]: NLR 1.97, PLR 1.64, MLR 1.40). NLR and PLR correlated moderately with BVASv3 (ρ = 0.506 and 0.478, respectively; both p < 0.001) and CRP. Discriminative performance was strongest for NLR and PLR: in age- and sex-adjusted models, AUC increased from 0.664 (age/sex only) to 0.832 after adding NLR and 0.827 after adding PLR (whereas the AUC after adding MLR was 0.724). During glucocorticoid-free remission, ratios remained higher than in HCs (geometric mean ratios: NLR 1.55 [1.39-1.74], PLR 1.18 [1.08-1.29], MLR 1.40 [1.27-1.55]; all p < 0.001). Treatment stratification within remission showed lower lymphocyte counts and higher PLR in patients on maintenance immunosuppression, while NLR discrimination remained robust across strata. Routine blood count-derived inflammatory ratios, particularly NLR and PLR, discriminate active AAV from stringent glucocorticoid-free remission independent of age/sex, and remain persistently altered during remission. These inexpensive and widely available indices may complement clinical assessment, warranting prospective validation and evaluation of prognostic value.</p>","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13538257/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148301210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"tRF-18-8R1546D2 is upregulated in hepatocellular carcinoma and associated with poor prognosis and tumor progression.","authors":"Liu-Xia Yuan, Zhi-Qiang Yue, Jing-Wen Xiao, Lin-Ling Ju, Hui-Xuan Wang, Jia-Jia Tan, Feng Xiao, Lin Chen","doi":"10.1007/s10238-026-02223-2","DOIUrl":"10.1007/s10238-026-02223-2","url":null,"abstract":"<p><p>This study aimed to investigate the clinical significance of tRF-18-8R1546D2 in hepatocellular carcinoma and to explore its potential role in tumor progression. tRF-18-8R1546D2 was identified as a potential oncogenic factor in HCC based on PCR Array sequencing. Its expression levels and subcellular localization in HCC were examined using qRT-PCR, FISH, and nuclear-cytoplasmic RNA fractionation. ROC curve, Cox and survival analysis were performed to determine the diagnostic and prognostic value. EdU incorporation, colony formation, apoptosis and transwell assays were conducted to assess cellular functions of tRF-18-8R1546D2. KEGG and Go analysis were conducted to seek for possible pathways in HCC progression. Bioinformatics analysis was conducted to screen potential targets of tRF-18-8R1546D2. qRT-PCR and IHC were used to examine the ECM2 expression, and its association with tRF-18-8R1546D2 was examined using correlation, dual-luciferase reporter assays and rescue assays. tRF-18-8R1546D2 was upregulated in HCC tissues, cell lines and plasma, its high expression was associated with poor prognosis and early detection. Cox analysis confirmed that tRF-18-8R1546D2 was a clinically potential prognostic marker. Functional assays revealed that overexpression of tRF-18-8R1546D2 promoted cell proliferation, migration, invasion in HCC and reduced apoptosis, the knockdown of tRF-18-8R1546D2 yielded the opposite results. ECM2 was downregulated in HCC tissues and cell lines, shown a better prognostic value and enriched in EMT pathways. Finally, Bioinformatics analysis, correlation, dual-luciferase reporter assays and rescue assays shown that tRF-18-8R1546D2 may downregulate ECM2 expression. tRF-18-8R1546D2 plays an oncogenic role in HCC and may drive tumor progression through downregulation of ECM2. Importantly, tRF-18-8R1546D2 may assist HCC detection, prognosis and treatment.</p>","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13364791/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The oncogenic role, regulatory mechanism, and clinical significance of lncRNA HIF1A-AS2 in multiple human cancers.","authors":"Lei Luo, Juan Zhang, Tingting Yu, Wenqian Tang, Jin Dong, Fan Yang","doi":"10.1007/s10238-026-02232-1","DOIUrl":"10.1007/s10238-026-02232-1","url":null,"abstract":"<p><p>Long non-coding RNAs (lncRNAs) are RNA molecules transcribed over 200 nucleotides in length. Although they do not encode proteins, many studies have shown that they have a dramatic involvement in human cancer by various mechanisms. Hypoxia inducible factor 1α-antisense RNA 2 (HIF1A-AS2) is a lncRNA recently described to map on human chromosome 14q23.2, whose aberrant expression has been observed in many tumor types and whose up-regulation results in poor patient clinical prognosis. Experimental studies demonstrate that HIF1A-AS2 is involved in a wide range of biological processes, including cell proliferation, invasion, migration, apoptosis, drug resistance and epithelial-mesenchymal transition (EMT). Moreover, this lncRNA promotes cancer malignancy by acting as competing endogenous RNA (ceRNA) or by directly binding to certain proteins. This article comprehensively summarizes the function, molecular mechanisms, and clinical significance of HIF1A-AS2 in malignant tumors, pointing out that HIF1A-AS2 has potential functions as diagnostic markers as well as therapeutic targets.</p>","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13534179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Poor self-rated health is twice as common in rheumatoid arthritis: population-based evidence from the Paracelsus 10,000 study.","authors":"Mathias Ausserwinkler, Vanessa Bartsch, Sophie Gensluckner, Bernhard Paulweber, Eugen Trinka, Patrick Langthaler, Bernhard Iglseder, Maria Flamm, Elmar Aigner, Bernhard Wernly","doi":"10.1007/s10238-026-02214-3","DOIUrl":"10.1007/s10238-026-02214-3","url":null,"abstract":"<p><p>Self-rated health (SRH) is a simple but powerful predictor of morbidity and mortality. Its relevance in rheumatoid arthritis (RA) has not been systematically investigated in population-based cohorts. We analyzed 9,399 participants of the Paracelsus 10,000 study, including 293 (3.1%) with physician-diagnosed RA. SRH was assessed with a single-item global question. Associations of RA, sociodemographic, metabolic, and lifestyle factors with poor SRH were examined using multivariable logistic regression. Poor or very poor SRH was reported by 55% of RA participants compared with 31% of non-RA participants (p < 0.001). RA was independently associated with more than twofold higher odds of poor SRH (adjusted OR 2.21 (95% CI 1.61-3.02). Advanced age, metabolic syndrome, and current smoking were linked to worse SRH, whereas male sex, higher education, and higher physical activity were protective. Each one-point increase in Mediterranean diet adherence (PREDIMED score) was associated with a 4% lower odds of poor SRH (OR 0.96, 95% CI 0.94-0.99). No interaction between RA and diet adherence was observed. RA is strongly associated with poor self-rated health in the general population, after adjustment for comorbidities and lifestyle factors. Higher adherence to the Mediterranean diet and greater physical activity were linked to better perceived health, highlighting modifiable targets to improve patient-centered outcomes in RA.</p>","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13574914/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction Note: Curcumin inhibits LPA-induced invasion by attenuating RhoA/ROCK/MMPs pathway in MCF7 breast cancer cells.","authors":"Kai Sun, Xiaoyi Duan, Hui Cai, Xiaohong Liu, Ya Yang, Min Li, Xiaoyun Zhang, Jiansheng Wang","doi":"10.1007/s10238-026-02233-0","DOIUrl":"10.1007/s10238-026-02233-0","url":null,"abstract":"","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":"26 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13282239/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148276526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Clinicopathological profile of basal cell carcinoma: a retrospective study from Limpopo province, South Africa.","authors":"Radzilani Manenzhe, Casey Powell McCusker, Lucia Naddy Mhlongo","doi":"10.1007/s10238-026-02215-2","DOIUrl":"10.1007/s10238-026-02215-2","url":null,"abstract":"","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":"26 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13282199/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148276474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}