bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms
Authors: Wang Hanlin , Hong Yuan , Zhang Zimo , Cheng Kang , Chen Bo , Zhang Renquan 
Published: February 2025

ObjectiveThis study aims to construct an effective prediction model for the two-year postoperative survival probability of patients with non-small cell lung cancer (NSCLC). It particularly focuses on integrating radiomics features, including the erector spinae and whole-lung imaging features, to enhance the accuracy and stability of prognostic predictions.Materials and methodsThe study included 37 NSCLC patients diagnosed and surgically treated at the First Affiliated Hospital of Anhui Medical University from January 2020 to December 2021. The average age of the patients was 59 years, with the majority being female and non-smokers. Additionally, CT imaging data from 98 patients were obtained from The Cancer Imaging Archive (TCIA) public database. All imaging data were derived from preoperative chest CT scans and standardized using 3D Slicer software. The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. Subsequently, the classification performance of all constructed models was compared to select the optimal prediction model.ResultsUnivariate Cox regression analysis showed no significant correlation between the collected clinical factors and patient survival time. In the external validation set, the K-Nearest Neighbors (KNN) model based on bilateral erector spinae features performed the best, with accuracy and AUC (Area Under the Curve) values consistently above 0.7 in both the training and external testing sets. Among the prognostic models based on whole-lung imaging features, the AdaBoost model also performed well, but its AUC value was below 0.6 in the external validation set, indicating overall classification performance still inferior to the KNN model based on erector spinae features.ConclusionThis study is the first to introduce erector spinae imaging features into lung cancer research, successfully developing a stable and well-performing prediction model for the postoperative survival of NSCLC patients. The research results provide new perspectives and directions for the application of radiomics in cancer research and emphasize the importance of incorporating multi-organ imaging features to improve the accuracy and stability of prediction models.
Ultrasound-based radiomics and clinical factors-based nomogram for early intracranial hypertension detection in patients with decompressive craniotomy
Authors: Fu Zunfeng , Peng Lin , Guo Laicai , Qin Chao , Yu Yanhong , Zhang Jiajun , Liu Yan 
Published: February 2025

ObjectiveThis study aims to develop and validate a nomogram that combines traditional ultrasound radiomics features with clinical parameters to assess early intracranial hypertension (IH) following primary decompressive craniectomy (DC) in patients with severe traumatic brain injury (TBI). The study incorporates the Shapley Additive Explanations (SHAP) method to interpret the radiomics model.MethodsThis study included 199 patients with severe TBI (training cohort: n = 159; testing cohort: n = 40). Postoperative ultrasound images of the optic nerve sheath (ONS) were obtained at 6 and 18 h after DC. Based on invasive intracranial pressure (ICPi) measurements, patients were grouped according to threshold values of 15 mmHg and 20 mmHg. Radiomics features were extracted from ONS images, and feature selection methods were applied to construct predictive models using logistic regression (LR), support vector machine (SVM), random forest (RF), and K-Nearest Neighbors (KNN). Clinical-ultrasound variables were incorporated into the model through univariate and multivariate logistic regression. A combined nomogram was developed by integrating radiomics features with clinical-ultrasound variables, and its diagnostic performance was evaluated using Receiver Operating Characteristic (ROC) curve analysis and decision curve analysis (DCA). The SHAP method was adopted to explain the prediction models.ResultsAmong the machine learning models, the LR model demonstrated superior predictive efficiency and robustness at threshold values of 15 mmHg and 20 mmHg. At a threshold of 20 mmHg, the AUC values for the training and testing cohorts were 0.803 and 0.735 for the clinical model, 0.908 and 0.891 for the radiomics model, and 0.918 and 0.902 for the nomogram model, respectively. Similarly, at a threshold of 15 mmHg, the AUC values were consistent across models: 0.803 and 0.735 for the clinical model, 0.908 and 0.891 for the radiomics model, and 0.918 and 0.902 for the nomogram model. Notably, the nomogram model outperformed the clinical model. Decision curve analysis (DCA) further confirmed a higher net benefit for predicting intracranial hypertension across all models.ConclusionThe nomogram model, which integrates both clinical-semantic and radiomics features, demonstrated strong performance in predicting intracranial hypertension across different threshold values. It shows promise for enhancing non-invasive ICP monitoring and supporting individualized therapeutic strategies.
Sex-based differences in the long-term fate of hippocampal neurons born after a traumatic brain injury
Authors: Downing Hannah C. , Glover Ashley B. , Gebhardt Jessica E. , Thompson Katherine L. , Saatman Kathryn E. 
Published: February 2025

IntroductionModerate-to-severe traumatic brain injury (TBI) results in an early loss of immature hippocampal granule cells and the activation of typically quiescent neural stem cells (NSCs) in the dentate gyrus. Activation of NSCs leads to a robust increase in proliferation and generation of neural progenitor cells (NPCs), supporting restoration of the immature neuron population of over a period of 1–2 weeks. However, it is unclear if neurons born early after injury develop normally, survive long-term and functionally integrate into the hippocampal network. Although adult hippocampal neurogenesis is regulated in a sex-dependent manner, the majority of pre-clinical TBI studies lack the inclusion of both sexes. The goal of this study was to examine sex differences in hippocampal neurogenesis in response to a moderate controlled cortical impact brain injury.MethodsIn-vivo labeling of NPCs and tracking of their morphological development into a granule cell was achieved using an inducible Cre recombinase driven by the Ascl1 promoter in a CAG-floxStopTom reporter mouse. Ascl1 is a basic helix-loop-helix transcription factor transiently expressed in NPCs and activated NSCs in the dentate gyrus of the adult mammalian brain. To specifically label NPCs born acutely after TBI, tamoxifen was delivered to mice on days 2 and 3 postinjury. Mice survived to 6 weeks after TBI to allow for full neuronal maturation of tdTomato-labeled NPCs.ResultsAt 6 weeks postinjury, numbers of tdTomato-positive granule cells were significantly reduced in the ipsilateral hippocampus of brain-injured mice compared to controls, with a more pronounced decrease in males. Further, posttrauma-born neurons in males, but not females, exhibited impaired dendritic development. Neurons born after injury extended axons which formed synaptic terminals within the CA3 region. Numbers of mossy fiber boutons were significantly decreased in injured males compared to naïve males or to injured females. Potential forms of plasticity were observed in brain-injured females, including increased neurogenesis in the contralateral hippocampus and increased mossy fiber bouton volume. Together these data suggest a neurogenic advantage in females after injury.DiscussionThis study is the first to report sex differences in posttraumatic hippocampal neurogenesis and to demonstrate modification of synaptic terminals formed by neurons born after TBI.
Effects of virtual reality technology on early mobility in critically ill adult patients: a systematic review and meta-analysis
Authors: He Yansha , Yang Qin , Dai Xiaoxia , Chen Tian , Wu Huan , Li Kunjie , Zhu Shiqiong , Liu Yanlin , Lei Hua 
Published: February 2025

ObjectiveThe study aimed to explore the effects of virtual reality (VR) technology on motor function rehabilitation in critically ill patients.MethodsAdhering to the PRISMA systematic evaluation method for developing the literature ranking criteria and search strategy, the following databases were systematically searched: PubMed, Embase, Web of Science, the Cochrane Library, CNKI, Wanfang Data, Chinese Medical Journal Full-Text Database, and SINOMED. The search focused on the impact of virtual reality technology on limb function rehabilitation in critically ill patients, covering the period from the database’s inception to 6 December 2024. To evaluate the quality of the included studies, the risk of bias was assessed using the RevMan 5.4 tool.ResultsA total of 11 randomized controlled trials (RCTs) published over 10 years were included, involving 880 critically ill adult patients: 435 in the experimental group and 445 in the control group. The meta-analysis showed that, compared to the control group, virtual reality technology significantly improved the Berg Balance Scale (BBS) score (MD = 3.95, 95% CI: 3.19, 4.70, p &lt; 0.05), the Functional Independence Measure (FIM) score (MD = 0.21, 95% CI: −1.35, 1.76, p &gt; 0.05), the Functional Ambulation Category (FAC) score (MD = 0.72, 95% CI: 0.49, 0.94, p &lt; 0.05), the upper limb motor function (Fugl-Meyer Assessment, FMA) score (MD = 5.08, 95% CI: 3.46, 6.69, p &lt; 0.05), and the lower limb motor function (Fugl-Meyer Assessment FMA) score (MD = 2.83, 95% CI: 1.99, 3.67, p &lt; 0.05) of the adult critically ill patients.ConclusionCompared to traditional rehabilitation techniques, virtual reality technology has a better overall effect in improving motor rehabilitation in critically ill patients and enhancing balance, functional walking, and upper and lower limb motor functions. However, the effect of enhancing the functional independence of limbs is not yet evident and still needs to be confirmed by high-quality, multicenter, and large-sample clinical trials.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/ Prospero register No.: CRD42024546409.
Causal association of sex hormone-related traits with Alzheimer’s disease: a multivariable and network Mendelian randomization analysis
Authors: Zhang Yan , Sun Zhen-dong , Yang Yu-shen , Fu Wei-dong 
Published: February 2025

BackgroundAlthough studies have demonstrated a correlation between sex hormone-related traits [such as sex hormone binding globulin (SHBG) and testosterone] and Alzheimer’s Disease (AD), the link remains uncertain due to the intricacies of AD pathology. The study aimed to investigate the possible causal link between sex hormone-related traits and AD.MethodsThe authors collected data from extensive genome-wide association studies (GWASs) of European ancestry on sex hormone-related traits and AD. Univariate and multivariate Mendelian randomization (MR) analyses were conducted to explore the possible causal relationship between these traits and AD. We used inverse variance weighted (IVW) MR as the main analysis.ResultsThe use of univariate MR-IVW revealed a possible causal relationship between SHBG [ORs (95% CI), 1.005 (1.001–1.009), p = 0.006], testosterone [ORs (95% CI), 0.994 (0.989–0.999), p = 0.013] and AD in female. There is no evidence of a causal association of SHBG [ORs (95% CI), 1.002 (0.999–1.005)), p = 0.237] and testosterone [ORs (95% CI), 1.000 (0.997–1.004), p = 0.810] with AD in males. Multivariate MR analysis revealed a possible direct causal connection between SHBG and testosterone in relation to females AD (SHBG-OR (95%CI), 1.005 (1.001–1.009, p = 0.023); testosterone-OR (95%CI), 0.995 (0.989–1.000, p = 0.049). Bidirectional MR analysis indicated that SHBG has a possible causal effect on testosterone (SHBG on testosterone-OR (95%CI), 1.064 (1.032–1.096), p = 0.0001). The results of the network MR analysis suggested that testosterone may act as a mediator in the causal pathway from SHBG to AD.ConclusionOur study using the MR methodology indicates that increase of SHBG level and decrease of testosterone level in females are positively linked to an increased risk of developing AD. Importantly, testosterone plays a mediating role in the causal pathway from SHBG to females AD.
Ectopic expression of the cation-chloride cotransporter KCC2 in blood exosomes as a biomarker for functional rehabilitation
Authors: Caccialupi Da Prato L. , Rezzag Lebza A. , Consumi A. , Tessier M. , Srinivasan A. , Rivera C. , Laurin J. , Pellegrino C. 
Published: February 2025

BackgroundTraumatic brain injury (TBI) is a major cause of disabilities in industrialized countries. Cognitive decline typically occurs in the chronic phase of the condition, following cellular and molecular processes. In this study, we described the use of KCC2, a neuronal-specific potassium–chloride cotransporter, as a potent biomarker to predict cognitive dysfunction after TBI.MethodsUsing neuronal and total exosome collections from the blood serum of the controls and patients with TBI, we were able to anticipate the decline in cognitive performance.ResultsAfter TBI, we observed a significant and persistent loss of KCC2 expression in the blood exosomes, which was correlated with the changes in the network activity and cellular processes such as secondary neurogenesis. Furthermore, we established a correlation between this decrease in KCC2 expression and the long-term consequences of brain trauma and identified a link between the loss of KCC2 expression and the emergence of depressive-like behavior observed in the mice.ConclusionWe successfully validated our previous findings, supporting the potential therapeutic benefits of bumetanide in mitigating post-traumatic depression (PTD) following TBI. This effect was correlated with the recovery of KCC2 expression in the blood exosomes, the prevention of extensive neuronal loss among the interneurons, and changes in secondary neurogenesis.
Low transthyretin is associated with the poor prognosis of colorectal cancer
Authors: Zhang Zhe , Hu Chenhao , Shi Feiyu , Zhang Lei , Wang Ya , Zhang Yujie , Zhang Xiaojiang , She Junjun 
Published: February 2025

ObjectiveTo determine whether transthyretin (TTR) influences the prognosis of patients with colorectal cancers and establish a predictive model based on TTR.MethodsBetween January 2013 and February 2019, the clinical data of 1322 CRC patients aged from 18 years to 80 years who underwent surgical treatment were retrospectively analyzed. The preoperative TTR level, clinicopathological data, and follow-up data were recorded. The X-tile program was used to determine the optimal cut-off value. Cox proportional hazard regression analysis was conducted to evaluate the correlation between the TTR and the cumulative incidence of cancer-specific survival (CSS). Nomograms were then developed to predict CSS. Furthermore, an additional cohort of 377 CRC patients enrolled between January 2014 and December 2015 was included as an external validation.ResultsBased on the optimal cut-off value of 121.3 mg/L, we divided the patients into the TTR-lower group (&lt;121.3 mg/L) and the TTR-higher group (≥121.3 mg/L). Comparative analysis revealed that the TTR-higher group exhibited a younger demographic, a higher prevalence of low colorectal cancers, an elevated R0 resection rate, superior differentiation, earlier stage and lower levels of carcinoembryonic antigen (CEA) in contrast to the TTR-lower group. The Cox multivariable analysis underscored the significance of TTR and various clinicopathological factors, encompassing age, tumor location, R0 resection status, differentiation grade, disease stage, postoperative chemoradiotherapy, and preoperative CEA levels, as substantial prognostic indicators. The postoperative survival nomogram, when internally and externally assessed, demonstrated commendable performance across multiple metrics, including the area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analysis (DCA). Compared with other models, the proportional hazards model combined with TTR demonstrates superior performance in terms of C-index, AUC, calibration chart, and DCA within the prognostic column chart.ConclusionsThe preoperative TTR was identified as a prognostic factor for predicting the long-term prognosis of CRC patients who underwent surgical treatment, supporting its role as a prognostic biomarker in clinical practice.
A case report: interstitial pneumonia following treatment of gastric cancer with sintilimab in combination with S-1
Authors: Zhu Pei , Sun Qingming , Xu Sheng , Dong Wanhui 
Published: February 2025

BackgroundInterstitial pneumonia is a group of pathologies affecting the pulmonary interstitium, characterized by interstitial fibrosis and extensive alveolar consolidation. This disease can extend to the surrounding blood vessels and pulmonary interstitium, sometimes affecting the entire lung, resulting in functional limitations, including restrictive ventilatory defect, impaired gas exchange, and hypoxemia. Severe interstitial pneumonia can lead to death. Antitumor drugs can induce interstitial pneumonia. Sintilimab is an immune checkpoint inhibitor, a recombinant fully human immunoglobulin G-type programmed death protein-1 monoclonal antibody inhibitor. S-1 is a compound preparation consisting of gimeracil, oteracil potassium, and ftorafur. There have been cases of interstitial pneumonia caused by treatment with sintilimab or S-1 in clinical settings, but no cases of interstitial pneumonia caused by treatment with a combination of sintilimab and S-1 have been reported.Case reportA patient diagnosed with gastric cancer underwent nine courses of treatment using a chemotherapy regimen of combined oxaliplatin S-1., Due to severe bone marrow suppression and gastrointestinal adverse reactions, the treatment was switched to sintilimab in combination with S-1therapy., This change resulted in the development of interstitial pneumonia, as revealed by non-contrast chest Computed Tomography scans. Following a review of blood test results and a multidisciplinary consultation, we suspect that the interstitial pneumonia may have been caused either by Sintilimab alone or by the combined effects of sintilimab and S-1. The treatment was discontinued, and after receiving adequate glucocorticoid therapy, the pulmonary lesions showed slight improvement.ConclusionThis case provides a clinical reference, indicating that prior touse of sintilimab in combination with S-1 antitumor regimen, a comprehensive baseline assessment should be conducted, including blood routine examination, enzyme tests, and pulmonary imaging examination, with close monitoring of the patient’s pulmonary condition. If drug-induced lung injury is suspected, the medication should be discontinued immediately, and appropriate treatment should be initiated promptly.
Study on the mechanism of plant metabolites to intervene oxidative stress in diabetic retinopathy
Authors: Gong Tianyao , Wang Dongmei , Wang Jinyan , Huang Qun , Zhang Haiyan , Liu Chunmeng , Liu Xinglin , Ye Hejiang 
Published: February 2025

Diabetic retinopathy is the main microvascular complication of diabetes and the first blinding eye disease in the working-age population. Oxidative stress is an important pathogenesis of diabetic retinopathy. Plant metabolites can be divided into two types: primary metabolites and secondary metabolites, secondary metabolites are the main active components and important sources for developing new drugs. It has unique effect in the treatment of diabetic retinopathy. However, the research on the intervention mechanism of plant metabolites in diabetic retinopathy are still relatively shallow, which limit the application of plant metabolites. With the deepening of research, more and more plant metabolites have been reported to play a role in treating diabetic retinopathy through anti-oxidative stress, including polyphenols, polysaccharides, saponins, alkaloids, etc. Therefore, this article reviewed the potential of plant metabolites in the treatment of diabetic retinopathy in the last 10 years and elucidated their mechanism of action. We hope to provide some references for the application of plant metabolites and provide valuable resources for the research and development of new drugs for diabetic retinopathy.
Effects of plant active substances in rheumatoid arthritis—a systematic review and network meta-analysis
Authors: Peng Qiuwei , Wang Jian , Li Kesong , Xia Congming , Yao Chuanhui , Guo Qiuyan , Gong Xun , Tang Xiaopo , Jiang Quan 
Published: February 2025

BackgroundPlant active substances are extensively utilized in treating rheumatoid arthritis (RA). Despite numerous experimental and clinical studies on plant active substances their efficacy remains largely unsubstantiated. The widespread use of these extracts as therapeutic measures for RA is problematic due to the lack of compelling evidence.ObjectiveOur research aims to assess the impact of plant active substances on RA by conducting a network meta-analysis.MethodsWe systematically searched four electronic databases—PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, and Web of Science—from their inception to August 2024. The main focus was on assessing primary outcomes, including the Visual Analogue Scale (VAS), inflammatory markers, Swollen Joint Count (SJC), Tender Joint Count (TJC), and Disease Activity Score on 28 joints (DAS28). We performed data analysis using StataMP 15.1 software and ranked the therapeutic effects based on the Surface Under the Cumulative Ranking Curve (SUCRA) probability values.ResultsBased on screening procedures, 18 eligible studies were incorporated into the analysis. These studies encompassed a total of 1,674 RA patients and investigated 10 different plant active substance therapies. Specifically, 10 studies included VAS indicators, 17 studies included inflammatory marker indicators, 14 studies included DAS28 indicators, 13 studies included SJC indicators, and 13 studies included TJC indicators. Based on SUCRA values, quercetin appeared to be the most effective treatment for decreasing serum VAS levels (67.3%). Furthermore, curcumin emerged as the most promising option for reducing inflammatory marker levels (72.3%), SJC (75.6%), and TJC (76.2%). Lastly, with respect to DAS28, resveratrol emerged as the optimal choice (74.3%).ConclusionAccording to the network meta-analysis (NMA), curcumin exhibited superior efficacy compared to placebo in decreasing SJC and TJC. Additionally, curcumin demonstrated greater effectiveness in reducing inflammatory markers. Quercetin was more effective in reducing VAS, and resveratrol was more effective in reducing DAS28. Patients with RA may benefit from these findings. Insightful information from this study is helpful for RA patients to consider using plant active substance therapies. For their efficacy and safety to be confirmed, more proof is needed.