Scientific Reports最新文献

{"title":"Feasibility evaluation of mechanical and environmental properties for red mud based rapid setting filling support material.","authors":"Xiang Yang, Jiangang Zhang, Xiangdong Su, Zhiwei Huang, Haijia Li","doi":"10.1038/s41598-025-90570-7","DOIUrl":"https://doi.org/10.1038/s41598-025-90570-7","url":null,"abstract":"<p><p>Red mud (RM), a solid waste byproduct of the alumina industry, has accumulated in significant global stockpiles. Currently, the primary application of RM involves magnetic separation to recover iron oxides, while the residual RM is predominantly landfilled. Due to its strong alkalinity, RM can serve as a substitute for strong alkalis or sodium salts in the alkali activation of concrete, thereby accelerating setting time and improving early-age strength. Building on this property, this study designs and develops an RM based rapid setting filling support material, primarily composed of RM, which features rapid setting and high early strength. This material is intended as a substitute for high-water-content materials in gob-side entry retaining for coal mining. Experimental results demonstrate that when RM content reaches 70% and cement content is 10%, the Rapid-Setting Filling Support Material (RSM) achieves satisfactory compressive strength and initial setting time, coupled with excellent economic performance. The compressive strengths at 1 day, 3 days, 7 days, and 28 days are 6.12 MPa, 8.97 MPa, 11.25 MPa, and 12.33 MPa, respectively, meeting all requirements specified in the 'Technical Requirements for Roadside Bag Filling for Gob-side Entry Retaining with High-Water Material' (GB/T 39336-2020). The RSM also exhibits good durability, with primary hydration products including C-S-H gel, ettringite, and calcium carbonate, all of which contribute to strength development. Leaching tests reveal that heavy metal ion concentrations in the RSM leachate comply with integrated emission standards for Class III groundwater and wastewater, confirming its safe application. Considering the annual increase of approximately 13,000 km in roadway length for coal mining in China, the demand for filling and support materials is substantial. Consequently, the findings of this study hold significant economic and environmental value, with the potential to promote green mining practices and the circular economy.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7255"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Skin cancer detection using dermoscopic images with convolutional neural network.","authors":"Khadija Nawaz, Atika Zanib, Iqra Shabir, Jianqiang Li, Yu Wang, Tariq Mahmood, Amjad Rehman","doi":"10.1038/s41598-025-91446-6","DOIUrl":"https://doi.org/10.1038/s41598-025-91446-6","url":null,"abstract":"<p><p>Skin malignant melanoma is a high-risk tumor with low incidence but high mortality rates. Early detection and treatment are crucial for a cure. Machine learning studies have focused on classifying melanoma tumors, but these methods are cumbersome and fail to extract deeper features. This limits their ability to distinguish subtle variations in skin lesions accurately, hindering effective early diagnosis. The study introduces a deep learning-based network specifically designed for skin lesion detection to enhance data in the melanoma dataset. It leverages a novel FCDS-CNN architecture to address class-imbalanced problems and improve data quality. Specifically, FCDS-CNN incorporates data augmentation and class weighting techniques to mitigate the impact of imbalanced classes. It also presents a practical, large-scale solution that allows seamless, real-world incorporation to support dermatologists in their early screening processes. The proposed robust model incorporates data augmentation and class weighting to improve performance across all lesions. The proposed dataset includes 10015 images of seven classes of skin lesions available in Kaggle. To overcome the dominance of one class over the other, methods like data augmentation and class weighting are used. The FCDS-CNN showed improved accuracy with an average accuracy of 96%, outperforming pre-trained models such as ResNet, EfficientNet, Inception, and MobileNet in the precision, recall, F1-score, and area under the curve parameters. These pre-trained models are more effective for general image classification and struggle with the nuanced features and class imbalances inherent in medical image datasets. The FCDS-CNN demonstrated practical effectiveness by outperforming the compared pre-trained model based on distinct parameters. This work is a testament to the importance of specificity in medical image analysis regarding skin cancer detection.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7252"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting responsiveness to fixed-dose methylene blue in adult patients with septic shock using interpretable machine learning: a retrospective study.","authors":"Shasha Xue, Li Li, Zhuolun Liu, Feng Lyu, Fan Wu, Panxiao Shi, Yongmin Zhang, Lina Zhang, Zhaoxin Qian","doi":"10.1038/s41598-025-89934-w","DOIUrl":"https://doi.org/10.1038/s41598-025-89934-w","url":null,"abstract":"<p><p>This study aimed to develop an interpretable machine learning model to predict methylene blue (MB) responsiveness in adult patients with refractory septic shock and to identify key factors influencing MB responsiveness using the SHapley Additive exPlanations (SHAP) approach. We retrospectively analyzed data from 416 adult patients with refractory septic shock who received MB treatment at Xiangya Hospital of Central South University between June 2018 and October 2022. MB responders were defined as patients who, within 6 hours after MB administration, exhibited either a reduction in average norepinephrine equivalence (NEE) of ≥ 10% or an increase in mean arterial pressure of ≥ 10 mmHg without an associated increase in NEE. The incidence of MB responders was 38.2%(n=159). Statistical and machine learning methods were used for feature selection, resulting in two datasets (ST and ML). Each dataset was randomly divided into a training set (75%) for model development and a testing set (25%) for internal validation. Prediction models were developed using logistic regression, support vector machine (SVM), random forest, light gradient boosting machine (LightGBM), and explainable boosting machine (EBM). The models were evaluated regarding discrimination, calibration, and clinical benefit. The SVM model trained on the ML dataset demonstrated the best predictive performance, with an area under the curve (AUC) of 0.74 (95% CI 0.62-0.84), 76% accuracy, 36% sensitivity, and 94% specificity. Although the model's sensitivity was low, its high specificity and the safety profile of MB underscore its clinical relevance. The model showed superior net benefit within a 24-85% threshold probability, as determined by decision curve analysis. The SHAP analysis identified the average NEE dose within 6 hours before MB initiation as the most important factor influencing MB responsiveness (P<0.01), with higher doses positively correlating with a greater likelihood of response. Lactate levels were identified as the second most important factor. The optimal model was externally validated in an independent cohort from the same institution, achieving an AUC of 0.75 and an accuracy of 74%.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7254"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new approach to interference cancellation in D2D 5G uplink via Non orthogonal convex optimization.","authors":"Min Zhu, Ping Guo, Xianghua Liu, Hao Zhang, Salwa Othmen, Chahira Lhioui, Aymen Flah, Ivo Perg","doi":"10.1038/s41598-025-92026-4","DOIUrl":"https://doi.org/10.1038/s41598-025-92026-4","url":null,"abstract":"<p><p>Heterogeneous communication modes in 5G demand integrated device connections, resource availability, and high capacity for meeting user demands. The radio resource allocation and usage for massive users results in interference between the device-to-device (D2D) uplink channels. This issue is addressed using a Non-orthogonal Convex Optimization Problem (NCOP) that identifies the chances of self-interference cancellations. This technique classifies interference and non-interference allocations in the rate of uplink communications. The channel reassignment is addressed as an NCOP based on the available interference levels. The interference levels before and after allocation and reallocation are analyzed under convex optimization. The interference cancellation convergence is computed for both channels wherein the transfer switching is performed. The convergence rate is estimated using the interference level and the number of channels reassigned for the uplink devices. Hence, the self-interference cancellation relies on non-convex channel allocations across various switching in this case. This feature is revisited if the D2D channels exceed their capacity for communication. Therefore, the 5G communication features coexist with the D2D uplinks for interference cancellations to improve channel allocation. For the SNR = 45dBm, the proposed NCOP reduces 12.4% of channel reassignment by augmenting 9.24% of interference cancellation.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7253"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-modal Language models in bioacoustics with zero-shot transfer: a case study.","authors":"Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan Lavista Ferres","doi":"10.1038/s41598-025-89153-3","DOIUrl":"https://doi.org/10.1038/s41598-025-89153-3","url":null,"abstract":"<p><p>Automatically detecting sound events with Artificial Intelligence (AI) has become increas- ingly popular in the field of bioacoustics, ecoacoustics, and soundscape ecology, particularly for wildlife monitoring and conservation. Conventional methods predominantly employ supervised learning techniques that depend on substantial amounts of manually annotated bioacoustic data. However, manual annotation in bioacoustics is tremendously resource- intensive in terms of both human labor and financial resources, and it requires considerable domain expertise. Moreover, the supervised learning framework limits the application scope to predefined categories within a closed setting. The recent advent of Multi-Modal Language Models has markedly enhanced the versatility and possibilities within the realm of AI appli- cations, as this technique addresses many of the challenges that inhibit the deployment of AI in real-world applications. In this paper, we explore the potential of Multi-Modal Language Models in the context of bioacoustics through a case study. We aim to showcase the potential and limitations of Multi-Modal Language Models in bioacoustic applications. In our case study, we applied an Audio-Language Model--a type of Multi-Modal Language Model that aligns language with audio / sound recording data--named CLAP (Contrastive Language-Audio Pretraining) to eight bioacoustic benchmarks covering a wide variety of sounds previously unfamiliar to the model. We demonstrate that CLAP, after simple prompt engineering, can effectively recognize group-level categories such as birds, frogs, and whales across the benchmarks without the need for specific model fine-tuning or additional training, achieving a zero-shot transfer recognition performance comparable to supervised learning baselines. Moreover, we show that CLAP has the potential to perform tasks previously unattainable with supervised bioacoustic approaches, such as estimating relative distances and discovering unknown animal species. On the other hand, we also identify limitations of CLAP, such as the model's inability to recognize fine-grained species-level categories and the reliance on manually engineered text prompts in real-world applications.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7242"},"PeriodicalIF":3.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The lateral line and electrosensory systems of two holocephalans.","authors":"Laura A O Solon, Arnault R G Gauthier, Brittany Finucci, Adam T Downie, Shaun P Collin, Ian R Tibbetts, Victoria Camilieri-Asch","doi":"10.1038/s41598-025-87499-2","DOIUrl":"https://doi.org/10.1038/s41598-025-87499-2","url":null,"abstract":"<p><p>The mechanosensory (lateral line) and electrosensory systems are two important non-visual sensory modalities, especially in low light environments. Despite their importance, these sensory systems have received little attention in deepwater chondrichthyans. Here, we describe the morphological organisation of the peripheral lateral line and electrosensory systems in two species of chimaeras; the pale ghost shark Hydrolagus bemisi (Chimaeridae) and the Australasia narrow-nosed spookfish Harriotta avia (Rhinochimaeridae), occupying depth ranges of 400-1,100 m and 260-1,278 m, respectively. Using topographic mapping, computed tomography, histology, and scanning electron microscopy, the distribution, abundance, size, and microstructure of lateral line grooves and organs (neuromasts), and ampullary organs (pores, canals, and bulbs) are described. The arrangement of the peripheral sense organs in both these systems may reflect comparable feeding strategies for detecting benthic prey. While the elongated rostrum of Harriotta avia is likely used as a sensory probe, providing spatially-resolved information about minute hydrodynamic disturbances and electric fields of potential prey beneath the animal, the arrangement of sense organs in Hydrolagus bemisi indicates that this species may rely less on electroreception. The study compares the morphology and provides information on the relative importance of two (non-visual) sensory modalities in two demersal holocephalans that remain vulnerable to anthropogenic disturbances.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7163"},"PeriodicalIF":3.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of advanced glycation end products between thyroid function and diabetic nephropathy and metabolic disorders.","authors":"Yi Zhang, Yanlei Wang, Qingqing Kang, Yijing Chen, Liya Ai, Keyan Hu, Li Gong, Li Zhu, Zixiang Yu, Ran Chen, Jin Cui, Tian Jiang, Qiu Zhang","doi":"10.1038/s41598-025-88806-7","DOIUrl":"https://doi.org/10.1038/s41598-025-88806-7","url":null,"abstract":"&lt;p&gt;&lt;p&gt;purpose of this study was to investigate the relationship between AGEs, TSH, metabolic metrics and DN, and to provide evidence for future intervention.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Method: &lt;/strong&gt;This study selected community health service centers which had signed medical alliance agreement with the First Affiliated Hospital of Anhui Medical University and outpatints and inpatients in Anhui province. From March 2018 to July 2022, the multi-stage cluster sampling. method was used to screen residents aged 18-90 years in the above areas. Participants' blood was collected on an empty stomach to detect TSH, blood lipids, liver and kidney function and blood glucose, in addition, AGEs levels were detected by skin autofluorescence (SAF), and urine was retained to measure the ratio of urinary microalbumin to creatinine concentration by ACR. One-way ANOVA was used to compare the differences between general data, biochemical markers, and urinary ACR, association between variables.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Result: &lt;/strong&gt;A total of 7000 patients who participated in community health examination and inpatients and also had no history of serious mental disorders were selected. After excluding data with missing value of more than 5%, 6921 samples were finally included, and the effective rate was 94.4%. Following health risk factors (HRFs), such as body mass index (BMI), TSH, low-density lipoprotein (LDL), TyG (triglyceride glucose index), systolic blood pressure (SBP), cholesterol (TC), and uric acid (UA) were associated with a higher incidence of urine ACR. In moderation analysis, there is an significant effect among TSH, AGEs and DN, HRFs moderate also these effect.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;The findings suggest that HRFs such as HDL, TyG and TC should be prioritized when evaluating indicators related to DN to effectively reduce DN in Chinese patients with high health risk levels. Comprehensive indicators may be an effective and practical. method to evaluate the metabolic progression of DN. Optimizing thyroid function management may be a new strategy to prevent and treat DN and may help reduce the risk of AGE-related complications in people with diabetes. This study highlights the important role of AGEs in the relationship between TSH and DN. In addition, future studies should further explore how to improve the management and prevention of DN by regulating TSH.Among the leading causes of disability and death in patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes (T2DM), chronic kidney disease (CKD) occupies a certain position. Multi-factor intervention targeting advanced glycation end products (AGEs), blood glucose, blood pressure and lipids can reduce the morbidity and mortality of diabetic nephropathy (DN) in T2DM patients through thyroid stimulating hormone (TSH), which plays an important role in the pathological process of metabolic diseases such as DN. AGEs, as a key factor in metabolic regulation, may affect the formation and function of the thyr","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7202"},"PeriodicalIF":3.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SHIP identifies genomic safe harbors in eukaryotic organisms using genomic general feature annotation.","authors":"Matheus de Castro Leitão, Letícia Sousa Cabral, Luiza Cesca Piva, Pedro Felipe de Sousa Queiroz, Taísa Godoy Gomes, Rosângela Vieira de Andrade, Ana Laura Alfonso Perez, Karen Letycia Rodrigues de Paiva, Sônia Nair Báo, Viviane Castelo Branco Reis, Lídia Maria Pepe Moraes, Roberto Coiti Togawa, Leila Maria Gomes Barros, Fernando Araripe Gonçalves Torres, Georgios Joannis Pappas Júnior, Cíntia Marques Coelho","doi":"10.1038/s41598-025-91249-9","DOIUrl":"https://doi.org/10.1038/s41598-025-91249-9","url":null,"abstract":"<p><p>Integrating foreign genes into loci, allowing their transcription without affecting endogenous gene expression, is the desirable strategy in genomic engineering. However, these loci, known as genomic safe harbors (GSHs), have been mainly identified by empirical methods. Furthermore, the most prominent available GSHs are localized within regions of high gene density, raising concerns about unstable expression. As synthetic biology is moving towards investigating polygenic modules rather than single genes, there is an increasing demand for tools to identify GSHs systematically. To expand the GSH repertoire, we present SHIP, an algorithm designed to detect potential GSHs in eukaryotes. Using the chassis organism Saccharomyces cerevisiae, five GSHs were experimentally curated based on data from DNA sequencing, stability, flow cytometry, qPCR, electron microscopy, RT-qPCR, and RNA-Seq assays. Our study places SHIP as a valuable tool for providing a list of promising candidates to assist in the experimental assessment of GSHs in eukaryotic organisms with available annotated genomes.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7193"},"PeriodicalIF":3.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"cRGD-based MRI imaging-enhanced nanoplatform helps DOX target pancreatic cancer.","authors":"Silong Li, Na Li, Qiangqiang Yin, Zhichen Zhang, Haifeng Hu, Liguo Hao","doi":"10.1038/s41598-025-91549-0","DOIUrl":"https://doi.org/10.1038/s41598-025-91549-0","url":null,"abstract":"<p><p>This project aims to construct cRGD functionalized mesoporous silica nanoparticles and cRGD modified mesoporous silica nanoparticles for the diagnosis and treatment of tumors, providing new ideas for targeted therapy of tumors. The mesoporous silica nanoparticles were doped with gadolinium in situ to provide excellent imaging; cRGD was coupled on the particle surface to confer particle targeting; and hyaluronic acid was loaded onto the particles by electrostatic adsorption, thereby improving the biocompatibility of the particles and prolonging their in vivo circulation time.Taking pancreatic cancer as a model, we studied its targeting ability to pancreatic cancer and its phagocytosis to cancer cells; Using methods such as cell growth experiments and flow cytometry, the anti-cancer effect and pro apoptotic effect of the system were studied. In vivo distribution, tumor targeting and therapeutic efficacy of nanoparticles evaluated in a mouse model of pancreatic cancer with loaded tumors.Evaluate the bioavailability and enrichment of nanoparticles in tumor tissue using MRI technology. Evaluate the therapeutic effect and safety through changes in tumor volume, histopathological examination, and prognosis. Characterization of the synthesis results proved that cRGD-HA-DOX-Gd₂O₃@MSN (cHDG@MSN) was successfully synthesized with a particle size of 230.83 ± 12.36 nm.In vitro drug release experiments of DOX were carried out at different pH values (5.5 and 7.4), where the release was only up to 22.65% at pH 7.4, whereas DOX release was increased up to 78.75% at pH = 5.5.The results confirm the pH responsiveness of this nanocarrier platform.The results of cytotoxicity studies showed that cHDG@MSN itself is not cytotoxic. Biosafety evaluation and hemolysis test results confirmed that the probe is highly biocompatible.Notably, Gd³⁺ significantly enhanced the T₁ contrast of the system according to MR imaging results.The apoptosis rates of SW1990 cells treated with PBS, DOX and cHDG@MSN in flow cytometry were 13.97%, 18.38% and 29.02%, respectively, demonstrating the effectiveness of the nanoprobes at the cellular level. Animal experiments demonstrated the effectiveness of nanoprobes at the pathological level and imaging level.Cells and animals demonstrated that cHDG@MSN effectively inhibited the proliferation of pancreatic cancer cells. This research further verified the pH sensitivity of the constructed compound drug delivery system to achieve accurate diagnosis and treatment of pancreatic cancer tumor cells.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7217"},"PeriodicalIF":3.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment of an α-thalassemia mouse model through fetal liver cell transplantation and analysis of hematological parameters.","authors":"Xin Xu, Wencheng Fu, Wenrui Ye","doi":"10.1038/s41598-025-91792-5","DOIUrl":"https://doi.org/10.1038/s41598-025-91792-5","url":null,"abstract":"<p><p>Clinically, α-thalassemia is stratified into mild, intermediate, and severe forms, differentiated by the degree of anemia severity. Specifically, severe α-thalassemia manifests in homozygous individuals, characterized by a profound α globin deficit. The presence of two α0 alleles, resulting in a complete four-gene defect (α^--/--), constitutes a lethal in utero condition known as Hemoglobin (Hb) Barts hydrops fetalis syndrome. This arises from the inability of hemoglobin, deficient in α chains, to adequately transport oxygen. Consequently, this severe variant typically onsets during fetal development, often culminating in intrauterine death towards the end of gestation or dying shortly postpartum due to the compounded effects of severe anemia and resultant hypoxia. This study endeavors to establish an α-thalassemia mouse model via transplantation of embryonic liver cells harboring a dual α allele knockout, with a subsequent focus on comprehensively characterizing its hematological parameters and associated phenotypic indicators. To generate an α-globin chain-deficient mouse model, we transplanted fetal liver cells (harvested at embryonic day 13.5 from homozygous C57BL/6J-CD45.2-HBA-DKO mice) into C57BL/6 wild-type recipients preconditioned with 800 cGy irradiation. Multiple blood routine indicators, blood smear assessments, and spleen weight measurements, were subsequently conducted to characterize the model. Initially, model mice exhibited elevated white blood cell and lymphocyte counts relative to controls, potentially indicative of a possible immune reaction, though this response waned over time. Characteristic of the disease, these mice displayed significantly diminished mean corpuscular hemoglobin content and concentration, alongside heightened numbers of HbH inclusions and spleen weights. Furthermore, red blood cellindices, such as red blood cell count, hematocrit, red cell distribution width-coefficient of variation, and red cell distribution width-standard deviation, were all markedly increased in the model mice. Notably, model mice demonstrated significantly elevated values for mean platelet volume, platelet distribution width, and platelet large cell ratio percentage, reflective of aberrant platelet characteristics. Concurrently, a time-dependent increase in basophil percentages accompanied decreases in platelet count, platelet crit, and platelet larger cell count, collectively implying a progressively severe anemic state. Moreover, the progression from low to high levels of reticulocyte percentage and absolute reticulocyte count further corroborated an escalating tendency towards hemolysis. The model mice also experienced a substantial decline in body weight, underscoring the profound impact of disease progression on their health.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"7183"},"PeriodicalIF":3.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}