bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oncomelania lorelindoensis: the intermediate host of Sulawesis's Schistosoma japonicum
Authors: Nelwan Martin L. 
Published: December 2024

Abstract

Background
Oncomelania lorelindoensis is the intermediate host of Sulawesi’s Schistosoma japonicum. Schistosoma japonicum in Sulawesi originated from Anhui Guichi, China. Oncomelania lorelindoensis is one of the species in the genus Oncomelania. In this study, I report a study of Oncomelania lorelindoensis as the intermediate hosts of Sulawesi schistosomiasis japonica, their distributions in Sulawesi, and the control of O. lorelindoensis.
Results
Proto-Oncomelania originated in eastern Indonesia, Sulawesi. It spread to the Philippines, Japan, and China and then gave rise to Oncomelania. It is the intermediate host of Schistosoma japonicum. Five species are found in the genus Oncomelania, namely O. hupensis, O. lorelindoensis (formerly O. hupensis lindoensis), O. minima, O. robertsoni, and O. quadrasi. Further sequencing reveals that O. robertsoni has one subspecies, i.e., O. robertsoni robertsoni. Oncomelania lorelindoensis occurs in and around Lore Lindu National Park: the Bada Valley, the Lindu Valley, and the Napu Valley, Central Sulawesi. It may have occurred in the Kulawi Valley and the Palu Valley, Sigi Regence, Central Sulawesi Province. Control of O. lorelindoensis can use mechanic techniques, molluskicides, and genetic manipulation techniques.
Conclusions
Oncomelania lorelindoensis is found in Central Sulawesi, Indonesia. It occurs in the Bada Valley and the Napu Valley of Poso Regence and the Lindu Valley of Sigi Regence. It may also have occurred in other regions around Lore Lindu National Park. The intermediate host of Sulawesi S. japonicum is O. lorelindoensis. Subspecies in O. robertsoni should be named O. robertsoni robertsoni.
The predictive value of triglyceride-glucose index combined with non–high-density lipoprotein cholesterol in coronary heart disease
Authors: Zhang Chunge , Zhang Hui , Zhang Zewen , Sheng Yao , Ji Ningning 
Published: December 2024

Abstract

Background and aims: To explore the predictive value of the triglyceride-glucose（TyG）index combined with non–high-density lipoprotein cholesterol(Non-HDL-C) in coronary atherosclerotic heart disease ( CHD ).
Methods and Results: We retrospectively collected patients who were suspected of CHD and underwent coronary angiography in Yiwu Central Hospital and collected medical history, other serum biochemical evaluation and echocardiography from the enrolled population, Non-HDL-C and TyG indices were calculated, and their correlation with Gensini score was analyzed. Logistic regression analysis was used to analyze the risk factors of coronary heart disease, and ROC curves were plotted to assess the predictive value of CHD in subjects with single or multiple indices. TyG index and Non-HDL-C were higher in patients with CHD than in patients without CHD (P<0.05), and they were independent risk factors for the development of CHD after logistic regression analysis. Hypertension, diabetes, Non-HDL-C, TyG index, and Gensini score were positively correlated. The areas under the ROC curves for TyG index and Non-HDL-C for the diagnosis of coronary heart disease were 0.719 (95 % CI 0.675-0.763) and 0.652 (95 % CI 0.605-0.700), respectively, and the area under the ROC curve plotted with the joint equation of the two was 0.724 (95 % CI 0.681-0.768), which can better predict the occurrence of coronary heart disease.
Conclusion: TyG index and Non-HDL-C are independent risk factors for the occurrence of coronary heart disease, and the combination of the two can better predict the occurrence of coronary heart disease.
“I am sick, but that’s not all that I am”: patient perspectives on psychological adaptation to inborn errors of immunity
Authors: Beers Breanna J. , Davidson Hannah R. , Lewis Katie L. , Setzer Michael R. , Walkiewicz Magdalena A. , Similuk Morgan N. 
Published: December 2024

Abstract

Inborn errors of immunity (IEI) are rare heritable disorders of the immune system predisposing to atypical infections, autoimmunity, inflammation, and risk of malignancy. Adaptation is the process of incorporating stressful experiences into one’s life; these experiences may include onset of illness, receiving a diagnosis, or suffering without a diagnosis. Poor adaptation is linked to adverse outcomes including psychiatric comorbidities and decreased well-being. Most people with chronic illnesses and rare diseases adapt to their condition with time, but little is known about how this happens. We seek to address this gap in knowledge by investigating features of successful adaptation to IEI over time to help providers facilitate this process among those who struggle. We interviewed 20 self-reportedly well-adapted adults with IEI about their experiences of adaptation. We identified three overarching themes. First, many participants grappled with shame and loss but ultimately integrated their illness into their lives through acceptance, gratitude, and self-compassion. Second, knowledge and choice contributed to participants’ perceived control, but most participants were also forced to acknowledge the limits of that control when confronting unpredictable symptoms. Finally, social relationships could influence adaptation either positively or negatively. Notably, many participants found meaning in giving back to their communities, especially by educating others about their condition. Ultimately, participants showed that adaptation to life with IEI is complex and ongoing, requiring frequent recalibration to emerging challenges in new life stages. We provide recommendations to providers to help the results of this study shape their discussions with patients.
Diffused Multi-scale Generative Adversarial Network for low- dose PET images reconstruction
Authors: Yu Xiang , Hu Dao Yan , Yao Qiong , Fu Yu , Zhong Yan , Wang Jing , Tian Mei , Zhang Hong 
Published: December 2024

Abstract

Purpose: The aim of this study is to reconstruct low-dose PET (L-PET) images to full-dose PET (F-PET)images based on our Diffused Multi-scale Generative Adversarial Network (DMGAN) to resolve the trade-off between lowering radiation exposure and sustaining diagnostic accuracy.
Methods: The proposed method including two modules: the diffusion generator and the u-net discriminator. The goal of the first module is to get different information from different levels, enhancing the generalization capability of the generator to the image and improving the stability of the training. Generated images are inputted into the u-net discriminator, extracting details from both overall and specific perspectives to enhance the quality of the reconstructed F-PET images. We conducted evaluations encompassing both qualitative assessments and quantitative measures. In terms of quantitative comparisons, we employed two metrics, structure similarity index measure (SSIM) and peak signal-to-noise ratio (PSNR) to assess the performance of diverse methods.
Results: The proposed approach demonstrated the highest PSNR and SSIM values outperforming all compared methods, which improved PSNR by at least 6.2% over the other methods. Compared to other methods, the synthesized full-dose PET image generated by our method exhibits a more precise voxel-level metabolic intensity distribution, leading to a sharper and clearer visualization of the epileptic focus.
Conclusions: The proposed method can restore original details from low-dose PET images, surpassing the performance of other models trained on identical datasets, which can resolve the conflict between minimizing radiation exposure and sustaining diagnostic accuracy.
An unexpected find of multifocal extranodal marginal zone lymphoma
Authors: Bosch Glenn Van den , Develter Mieke , Willemse Johan , Boes Juul , Somers Katia , Douven Ulrike 
Published: December 2024

Abstract

In this case report we describe a patient who was diagnosed with extranodal marginal zone lymphoma (EMZL) at two different body sites, namely at the mucosa of the stomach and the lung. Since the patient presented with a main complaint of dyspnoea, this was a rather unexpected medical finding. To our knowledge, this is even the first case of multifocal EMZL in which the coexistent involvement of the stomach and lung is extensively documented. All medical and technical investigations that were performed during diagnosis and staging are described whilst discussing the typical characteristics of these kind of lymphomas as stated in current guidelines and literature.
Down-regulation of HSPB1 and MGST1 promote ferroptosis and impact immune infiltration in diabetic cardiomyopathy
Authors: Xie Yaoli , Liang Bin , Meng Zhijun , Guo Rui , Liu Caihong , Yuan Yi , Mu Wei , Wang Yajing , Cao Jimin 
Published: December 2024

Abstract

Diabetic cardiomyopathy (DCM) is a leading cause of death in diabetic patients. Current therapies do not adequately resolve this problem and focus only on the optimal level of blood glucose for patients. Ferroptosis plays an important role in diabetes mellitus and cardiovascular diseases. However, the role of ferroptosis in DCM remains unclear. Differentially expressed ferroptosis-related genes (DE-FRGs) were identified by intersecting GSE26887 dataset and the Ferroptosis Database (FerrDb). The associations between the DE-FRGs and immune cells in DCM, estimated by CIBERSORTx algorithm, were analyzed. Using flow cytometry (FCM) to evaluated the infiltration of immune cells of myocardial tissues. The expression of DE-FRGs, Glutathione peroxidase 4 (GPX4) and Solute carrier family 7 member 11 (SLC7A11) were examined by real-time quantitative PCR and western blotting. 3 DE-FRGs were identified, which are Heat shock protein family B (small) member 1 (HSPB1), Microsomal glutathione S-transferase 1 (MGST1) and solute carrier family 40 member 1 (SLC40A1) respectively, and they were closely linked to immune cells in DCM. In vivo, the levels of CD8 + T cells, B cells and Treg cells were significantly decreased in the DCM group, while the levels of CD4 + T cells, M1 cells, M2 cells and monocytes were increased. Diabetes significantly decreased HSPB1 and MGST1 levels and increased ferroptosis compared to normal group. Furthermore, ferroptosis inhibitor ferrostatin-1 (Fer-1) alleviated high-fat diet (HFD)-induced cadiomyocyte injury and rescued the ferroptosis. This study suggests that ferroptosis related gene HSPB1 and MGST1 are closely related to immune cell infiltration, which may become therapeutic targets for DCM.
Facile synthesis of hierarchical morphology highly porous carbon cobalt oxide composite from one-step carbonization of bio-waste for energy storage application
Authors: Ba Abdullah , Nagaraju Y S , Ganesha H , Veeresh S , Suresh D S , Vijaykumar S P , Sharanappa Sapna , Devendrappa H 
Published: December 2024

Abstract

A new strategy made to have a low-cost highly porous carbon electrode material by using bio-waste date seeds is activated with potassium hydroxide (KOH) for the synthesis of porous carbon cobalt oxide composite (PCCo) by facile one-step carbonization, and achieved high specific capacitance. The characterization of PCCo composite was done by powder X-ray diffraction, Fourier transform infrared spectrometer, field emission scanning electron microscopy, high-resolution transmission microscopy, and Raman spectroscopy techniques to confirm the changes in the chemical formation of the composite. The obtained PCCo composite has a porous structure with carbon frameworks and uniformly dispersed Co3O4 nanoparticles. This hierarchical architecture offers good ion/electron transport channels for better electrochemical characteristics.The maximum specific capacitance was found to be 548.4 F/g at a scan rate of 10 mV/s, and also from the galvanostatic charge-discharge curve, it was 696.8 F/g at a current density of 1.5 A/g. Additionally, capacitance retention is 84.4% and coulombic efficiency is 97% even after 5000 cycles. The energy density is 47.4 Wh kg-1 and the power density is 853.2 W kg-1. These results suggest that porous carbon composites are cost-effective, technologically unique, and eco-friendly for environmental supercapacitor applications.
Genome-wide phylogenetic analysis and expansion of gene families involved in detoxification in Smittia aterrima and Smittia pratorum (Diptera, Chironomidae)
Authors: Mao Bin , Zheng Yue , Xiao Yunli , Yang Kaixia , Shangguan Jingru , Shen Mi , Sun Hao , Fang Xiangliang , Fu Yue 
Published: December 2024

Abstract

Smittia aterrima and Smittia pratorum are important indicator insects for aquatic environments, showing extensive tolerance to the environment. However, the genome-wide phylogenetic relationships and characteristics of the detoxification mechanisms in S. aterrima and S. pratorum remain unclear. Based on the genomes of the two species obtained in our preliminary studies and nine genomes from the NCBI database, we found that chironomids diverged from other mosquitoes approximately 200 million years ago (MYA), and S. aterrima and S. pratorum diverged about 30 MYA according to phylogenetic analysis. Gene family evolution analysis showed significant expansion of 43 and 15 gene families in S. aterrima and S. pratorum, respectively, particularly those related to detoxification pathways. Positive selection analysis reveals that genes under positive selection are crucial for promoting environmental adaptation. Additionally, the detoxification-associated gene families including Cytochrome P450 (CYP), Glutathione S-transferases (GST), ATP-binding cassette (ABC), carboxylesterase (CCE), and UDP-glucuronosyltransferase (UGT) were annotated. Our analysis results show that these five detoxification gene families have significantly expanded in the chironomid genomes. This study highlights the genome evolution of chironomids and their responses to mechanisms of tolerance to environmental challenges.
Design, synthesis and biological evaluation of novel 1,2,3-triazoles chromone-oxime derivatives as potent indoleamine 2,3-dioxygenase 1 inhibitors
Authors: Fan Zi-Han , Huang Ri-Zhen , Liu Jia-Jia , Li Mei-Shan , Jing Xiao-Teng , Wang Heng-Shan 
Published: December 2024

Abstract

A series of chromone-oxime derivatives containing 1,2,3-triazole moieties were designed, synthesized and evaluated for their IDO1 inhibitory activities. These compounds displayed moderate to good inhibitory activity against IDO1 with IC50 values in low micromolar range. Among them, compound D20 displayed the most potent IDO1 inhibitory activities (hIDO1 IC50 = 0.084 µM, HeLa IDO1 IC50 = 0.059 µM) and was selected for further investigation. Surface plasmon resonance analysis confirmed that compound D20 directly interacted with IDO1 protein with a KD value of 0.57 µM. Molecular docking study revealed the oxygen atom in chromone-oxime moiety of compound D20 coordinated to the heme iron, and the 1,2,3-triazole group formed a hydrogen bond with the key residue ARG231. The UV spectra showed that D20 induced a Soret peak shift from 404 to 415 nm. Furthermore, compound D20 exhibited no cytotoxicity at its effective concentration in MTT assay. In summary, our study suggested that chromone-oxime derivatives containing 1,2,3-triazole moieties might serve as a potential agent for the further development of IDO1 inhibitors.
Genetically predicted levels of lithocholate sulfate mediate the association between the inflammatory factor MMP-1 and ischemic stroke
Authors: Zhang Zibin , Tian Jialong , Pang Xiaojun , Chen Huai , Jin Xuhong , Wei Yuyu 
Published: December 2024

Abstract

Background
This study aimed to investigate the causal relationship between the levels of the inflammatory factor matrix metalloproteinase-1 (MMP-1) and ischemic stroke (IS) and further examine the role of the metabolite lithocholate sulfate (LSL) as an intermediary factor.
Methods
We conducted a two-sample Mendelian randomization (MR) analysis on genetically predicted MMP-1 (14,744 samples) and IS (39,818 cases and 271,817 controls) using single nucleotide polymorphisms (SNPs) associated with research factors from the Genome-wide Association Study (GWAS) database. In addition, we calculated the LSL-mediated effect of MMP-1 on IS using multistep MR.
Results
Our MR analysis revealed that the genetic prediction of MMP-1 increased the risk of IS (inverse variance weighted analysis odds ratio (OR): 1.0852, 95% confidence interval (CI): 1.0311–1.1421, P-value = 0.0017). However, our inverse MR analysis revealed that the genetically predicted IS was not statistically significant for the risk of MMP-1 (OR: 1.0335, 95% CI: 0.9540–1.1197, P-value = 0.4198). The genetically predicted mediating effect of LSL on MMP-1 was − 0.00708 (95% CI: -0.0168–0.00265).
Conclusion
Our study not only revealed that MMP-1 is a risk factor for IS but also demonstrated for the first time that LSL might serve as a protective factor against IS. We further explored the possibility that MMP-1 might mediate the occurrence of IS through LSL and calculated the effect of LSL as a mediator. In clinical practice, greater attention should be paid to the impact of inflammatory factors on IS outcomes through blood metabolites as mediators. Further experiments are required to validate our findings.
Ultrasensitive MXene-Based Electrochemical Biosensor for Squamous Cell Carcinoma Antigen Detection
Authors: Jin Ju , Fang Xiaoqing , Ai Xue , Wang Jingjing 
Published: December 2024

Abstract

Squamous cell carcinoma antigen (SCCA) serves as a critical biomarker for cervical cancer, and its early detection is pivotal for enhancing patient outcomes. While traditional methods such as cytological screening and ELISA are established, their high costs and limited sensitivity hinder their widespread adoption for large-scale screening. In this study, we present an MXene-based electrochemical sensor (MX-iEC-SCCA) that markedly improves sensitivity and stability through the superior conductivity and extensive surface functional groups of MXene. The sensor demonstrates a detection range for SCCA from 0.01 pg/mL to 10 ng/mL, with an exceptional detection limit of 0.0036 pg/mL. Reproducibility tests reveal a relative standard deviation (RSD) of 1.51%, with a minimal signal decrease of 0.3% over five weeks, underscoring its stability. In experiments with standard plasma samples, the biosensor demonstrated a robust correlation with target values (R² = 0.9787). Analysis of 15 low-concentration and 16 high-concentration plasma samples yielded highly significant t-test results (p = 3.74E-06 < 0.01). ROC curve analysis further validates the sensor’s efficacy, with an AUC of 0.982, specificity of 0.933, and sensitivity of 0.866. These findings highlight the remarkable reliability and potential of MX-iEC-SCCA for SCCA detection, positioning it as a precise and efficient tool for the early diagnosis of cervical cancer and other malignancies.
Discordant lymphoma characterized by the coexistence of diffuse large B-cell lymphoma in the brain and mantle cell lymphoma in the colon, rectum, and bone marrow.
Authors: Yamaguchi Kyosuke , Yamamoto Go , Watanabe Otoya , Kageyama Kosei , Kaji Daisuke , Taya Yuki , Nishida Aya , Ishiwata Kazuya , Takagi Shinsuke , Yamamoto Hisashi , Asano-Mori Yuki , Uruga Hironori , Ito Shinji , Takazawa Yutaka , Wake Atsushi , Uchida Naoyuki , Taniguchi Shuichi 
Published: December 2024

Abstract

We describe a rare case of discordant lymphoma characterized by the coexistence of diffuse large B-cell lymphoma (DLBCL) in the brain and mantle cell lymphoma (MCL) in the colon, rectum, and bone marrow. A 63-year-old male patient with consciousness impairment and gait disturbance was admitted to our institution. Head computed tomography scan and contrast-enhanced magnetic resonance imaging showed a mass in the right temporal lobe and rectal wall thickening. Brain biopsy revealed DLBCL, and bone marrow and rectum biopsy showed MCL. According to a polymerase chain reaction analysis of immunoglobulin heavy-chain gene rearrangements using brain and bone marrow specimens, the two lesions were clonally unrelated lymphomas. After five cycles of R-MPV (rituximab, methotrexate, procarbazine, vincristine) therapy and three cycles of R-ESHAP (rituximab, etoposide, cytarabine, cisplatin, methylprednisolone) therapy, the patient received autologous hematopoietic stem cell transplantation using R-MEAM (rituximab, ranimustine, etoposide, cytarabine, melphalan) regimen after bridging therapy with ibrutinib. In addition, he received whole-brain irradiation at a dose of 40 Gy in 20 fractions as consolidation therapy. He did not relapse within 3 years of transplantation. To the best of our knowledge, this is the first case report of DLBCL and MCL coexistence.
Structural and Vascular Assessment of the Optic Nerve Head and Macula in Chronic Chagas Disease
Authors: Agra Cristiana L. M. , Ventura Camila V. , Fonte Letícia D. , Oliveira Marcela R. V. , Leal Marília , Assunção Maria Elisa L. S. M. , Cavalcanti Maria da Glória A. M. , Alves Silvia M . M. , Soares Ana Karine , Ventura Liana V. , Prata Tiago S. 
Published: December 2024

Abstract

Chagas disease (CD), a parasitic infection, may have ocular repercussion in its cardiological form, since history of heart disease of other etiologies has already been established as a risk factor for neuropathies and maculopathies. The aim of the present study was to investigate preclinical structural and vascular optic nerve head (ONH) and macular parameters in chronic CD patients. Chagasic patients and healthy subjects (n = 19) were evaluated with optical coherence tomography, optical coherence tomography angiography and Laguna ONhE® software. The main outcome measures were the glaucoma discriminant factor, average peripapillary retinal nerve fiber layer thickness, ganglion cell complex thickness, peripapillary vascular density (VD), foveal and parafoveal thickness, foveal avascular zone area, and total foveal and parafoveal VD from the superficial and deep capillary plexus that were compared between the two groups. No significant differences were observed among the studied variables. Although our findings suggest that the cardiovascular dysfunction resulting from chronic CD does not seem to cause significant structural or vascular preclinical changes to the ONH and the macula, the results herein can benefit the chagasic population and provide important information about the progression of the disease and its systemic complications.
Constructing Machine Learning-Based Risk Prediction Model for Osteoarthritis in Population Aged 45 and Above (NHANES 2011-2018)
Authors: FU YUN , Yu Yaming , Chen Weichao 
Published: December 2024

Abstract

Background: Osteoarthritis is a widespread chronic joint disease, becoming increasingly common in prevalence among individuals over the age of 45. This condition not only leads to joint pain and dysfunction but also significantly disrupts the patients’ daily life. Therefore, the objective of this study is to develop an interpretable machine learning model for predicting the risk of osteoarthritis in individuals aged 45 and above.
Methods: This study utilized data from the National Health and Nutrition Examination Survey(NHANES) from 2011 to 2018, including a total of 2980 individuals. The dataset was randomly divided into a training set (n=2235) and a validation set (n=745). Five machine learning algorithms were employed to develop the predictive model for osteoarthritis. The SHapley Additive exPlanation (SHAP) method was used to interpret the ML algorithms and identify the factors that made the most significant contribution to the prediction outcomes.
Results: A total of 2980 individuals were included, with an average age of 60 years, of whom 605 were diagnosed with osteoarthritis. Twenty-four variables were included in the modeling, and five machine learning algorithms were used to predict the risk of osteoarthritis. After feature selection using Recursive Feature Elimination(RFE), the CatBoost model with 20 variables showed the best prediction performance. The most influential predictors were Gender, Age, BMI, Waist circumference, and Race.
Conclusion: This study demonstrates that the CatBoost model with 20 variables can effectively predict the occurrence of osteoarthritis.