bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of a novel disulfidptosis-related lncRNAs signature in patients with HPV-negative oral squamous cell carcinoma
Authors: Yang Fan , Niu Xinyu , Zhou Mingzhu , Li Wei 
Published: June 2024

AbstractDisulfidptosis is a recently identified mode of regulated cell death. Regulating disulfidptosis in carcinoma is a promising therapeutic approach. Long non-coding RNAs (lncRNAs) have been reported to be related to the occurrence and development of many cancers. Disulfidptosis-related lncRNAs (DRLs) in HPV-negative oral squamous cell carcinoma (OSCC) have not been studied. Based on The Cancer Genome Atlas (TCGA) database, least absolute shrinkage selection operator (LASSO) analysis and Cox regression analysis were used to identify overall survival related DRLs and construct the signature. Kaplan–Meier, time-dependent receiver operating characteristics (ROC) and principal component analyses (PCA) were explored to demonstrate the prediction potential of the signature. Subgroup analysis stratified by different clinicopathological characteristics were conducted. Nomogram was established by DRLs signature and independent clinicopathological characteristics. The calibration plots were performed to reveal the accuracy of nomogram. Immune cell subset infiltration, immunotherapy response, drug sensitivity analysis, and tumor mutation burden (TMB) were conducted. Underlying functions and pathways were explored by Gene Set Enrichment Analysis (GSEA) analysis. Previous lncRNA signatures of OSCC were retrieved from PubMed for further validation. Gene expression omnibus (GEO) datasets (GSE41613 and GSE85446) were merged as an external validation for DRLs signature. Consensus clustering analysis of DRLs signature and experimental validation of DRLs were also explored. This research sheds light on the robust performance of DRLs signature in survival prediction, immune cell infiltration, immune escape, and immunotherapy of HPV-negative OSCC.
Identification of bladder cancer subtypes and predictive signature for prognosis, immune features, and immunotherapy based on immune checkpoint genes
Authors: Wu Jiyue , Zhang Feilong , Zheng Xiang , Chen Dongshan , Li Zhen , Bi Qing , Qiu Xuemeng , Sun Zejia , Wang Wei 
Published: June 2024

AbstractImmunotherapy based on immune checkpoint genes (ICGs) has recently made significant progress in the treatment of bladder cancer patients, but many patients still cannot benefit from it. In the present study, we aimed to perform a comprehensive analysis of ICGs in bladder cancer tissues with the aim of evaluating patient responsiveness to immunotherapy and prognosis. We scored ICGs in each BLCA patient from TCGA and GEO databases by using ssGSEA and selected genes that were significantly associated with ICGs scores by using the WCGNA algorithm. NMF clustering analysis was performed to identify different bladder cancer molecular subtypes based on the expression of ICGs-related genes. Based on the immune related genes differentially expressed among subgroups, we further constructed a novel stratified model containing nine genes by uni-COX regression, LASSO regression, SVM algorithm and multi-COX regression. The model and the nomogram constructed based on the model can accurately predict the prognosis of bladder cancer patients. Besides, the patients classified based on this model have large differences in sensitivity to immunotherapy and chemotherapy, which can provide a reference for individualized treatment of bladder cancer.
Predicting prognosis in colorectal cancer patients with curative resection using albumin, lymphocyte count and RAS mutations
Authors: Miyata Toshiya , Hayama Tamuro , Ozawa Tsuyoshi , Nozawa Keijiro , Misawa Takeyuki , Fukagawa Takeo 
Published: June 2024

AbstractColorectal cancer (CRC) poses a significant global health challenge, demanding reliable prognostic tools to guide treatment decisions. This study introduces a novel prognostic scoring system, the albumin-total lymphocyte count-RAS index (ALRI), integrating serum albumin, lymphocyte count, and RAS gene mutations. A cohort of 445 stage I–III CRC patients undergoing curative resection was analyzed, revealing ALRI's association with clinicopathological factors, including age, tumor location, and invasion depth. The ALRI demonstrated superior prognostic value, with a cutoff value of 2 distinguishing high and low-risk groups. The high-ALRI group exhibited elevated rates of recurrence. Univariate and multivariate analyses identified ALRI as an independent predictor for both 5 year recurrence-free survival (RFS) and overall survival (OS). Kaplan–Meier curves illustrated significant differences in RFS and OS between high and low-ALRI groups, emphasizing ALRI's potential as a prognostic marker. Importantly, ALRI outperformed existing nutritional indices, such as controlling nutritional status and neutrophil-to-lymphocyte ratio, in predicting overall survival. The study underscores the comprehensive insight provided by ALRI, combining inflammatory, nutritional, and genetic information for robust prognostication in CRC patients. This user-friendly tool demonstrates promise for preoperative prognosis and personalized treatment strategies, emphasizing the crucial role of inflammation and nutrition in CRC outcomes.
Prevalence of peripheral neuropathy, amputation, and quality of life in patients with diabetes mellitus
Authors: Perveen Wajida , Ahsan Hafsa , Rameen Shahzad  , Fayyaz Samra , Zaif Ayesha , Paracha Mahnoor Asif , Nuhmani Shibili , Khan Masood , Alghadir Ahmad H. 
Published: June 2024

AbstractPeripheral neuropathy and amputation are common complications of diabetes mellitus (DM) that significantly impact the quality of life of the affected individuals. This study aims to investigate the prevalence of peripheral neuropathy, the level of amputation, and the quality of life in patients with DM. This cross-sectional study was conducted after approval of the synopsis involving 225 diagnosed patients with DM on pre-defined eligibility criteria, selected from public sector OPDs, specialized diabetes centres, and centres manufacturing orthotics and prosthetics. Data were collected through interviews, observations, and the administration of the Michigan Neuropathy Screening Instrument and the Asian Diabetes Quality of Life Questionnaire. The level of amputation was recorded for each participant. Data was entered into SPSS, and results were synthesized. Pearson correlation is applied to find an association between gender and the quality of life of the participants, while P ≤ 0.05 will be considered significant. The prevalence of peripheral neuropathy in a sample of 225, based on a self-administered questionnaire, was (44.4%), and in terms of foot examination was (51.1%). As people progressed in age, the prevalence increased to 20.0% in patients above 60 years and 8.9% in ≤ 35 years of age. The majority of participants (56.0%) have had DM for less than five years. Females were 57.8% of the study population, while 97.8% of participants had type II DM. Below-knee amputation of the right limb was observed in 22(9.8%) of the participants. The QoL was poor in the majority of the participants (96.9%) patients with DM (P = 0.638 and T = -0.471). This cross-sectional study highlights a high prevalence of peripheral neuropathy and amputation and poor QoL in patients with diabetic mellitus.
Prediction of CO2 solubility in Ionic liquids for CO2 capture using deep learning models
Authors: Ali Mazhar , Sarwar Tooba , Mubarak Nabisab Mujawar , Karri Rama Rao , Ghalib Lubna , Bibi Aisha , Mazari Shaukat Ali 
Published: June 2024

AbstractIonic liquids (ILs) are highly effective for capturing carbon dioxide (CO2). The prediction of CO2solubility in ILs is crucial for optimizing CO2capture processes. This study investigates the use of deep learning models for CO2solubility prediction in ILs with a comprehensive dataset of 10,116 CO2solubility data in 164 kinds of ILs under different temperature and pressure conditions. Deep neural network models, including Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM), were developed to predict CO2solubility in ILs. The ANN and LSTM models demonstrated robust test accuracy in predicting CO2solubility, with coefficient of determination (R2) values of 0.986 and 0.985, respectively. Both model's computational efficiency and cost were investigated, and the ANN model achieved reliable accuracy with a significantly lower computational time (approximately 30 times faster) than the LSTM model. A global sensitivity analysis (GSA) was performed to assess the influence of process parameters and associated functional groups on CO2solubility. The sensitivity analysis results provided insights into the relative importance of input attributes on output variables (CO2solubility) in ILs. The findings highlight the significant potential of deep learning models for streamlining the screening process of ILs for CO2capture applications.
Postoperative rehabilitation and quality of life evaluation for transoral endoscopic thyroidectomy vestibular approach
Authors: Mao Yu , Zhou Shiwei , Wu Peng , Li Wu , Li Hui , Wang Zhiyuan , Xia Xibin , Song Xiaohua , Wang Mingming , Peng Xiaowei 
Published: June 2024

AbstractThere are no targeted rehabilitation training modalities and assessment tools for patients after transoral endoscopic thyroidectomy vestibular approach (TOETVA). Herein, we develop a new assessment questionnaire and rehabilitation training modality and evaluate its safety and effectiveness. The THYCA-QoL-TOETVA questionnaire was compiled, and reliability and validity analyses were performed. Patients were divided into the new rehabilitation training group (N) or the conventional rehabilitation training group (C), and 1:1 propensity score matching (PSM) was performed after administering questionnaires to patients in both groups. Cervical range of motion (CROM) data were also measured and collected for statistical analysis. The questionnaire used in this study showed good expert authority, coordination, internal consistency, and questionnaire reliability. A total of 476 patients were included after PSM, and the questionnaire results showed that recovery and quality of life were better in the N group than in the C group (124.55 ± 8.171 vs. 122.94 ± 8.366, p = 0.026). Analysis of cervical spine mobility showed that rehabilitation was better in the N group compared to the C group at postoperative one month (flexion: 1.762°, extension: 4.720°, left lateral bending: 3.912°, right lateral bending: 4.061°, left axial rotation: 5.180°, right axial rotation: 5.199°, p value all of these < 0.001), and at postoperative three months (flexion: 2.866°, extension: 2.904°, left lateral bending: 3.927°, right lateral bending: 3.330°, left axial rotation: 4.395°, right axial rotation: 3.992°, p value all of these < 0.001). The THYCA-QoL-TOETVA provides an appropriate and effective tool for measuring the postoperative quality of life of TOETVA patients. This new rehabilitation training can effectively alleviate the problem of limited neck movement and improve the quality of life of patients after TOETVA surgery.Trial registration: ChiCTR2300069097.
Comparative analysis of the distribution and antifungal susceptibility of yeast species in cat facial hair and human nails
Authors: Yurayart Chompoonek , Niae Sara , Limsivilai Orawan , Thengchaisri Naris , Sattasathuchana Panpicha 
Published: June 2024

AbstractZoonotic yeast species have been implicated in disease development in both humans and cats. This study analyzed the yeast mycobiota present in feline facial hair and human nails and explored potential interspecies associations. A total of 118 biological specimens were examined, including 59 feline facial hair and 59 human nail samples. DNA extraction and DNA sequencing were performed to identify the specific yeast species. The most predominant yeast species in humans and cats were selected for antifungal susceptibility testing (itraconazole, ketoconazole, miconazole, and terbinafine). The findings unveiled diverse yeast species in cats and humans. Malassezia pachydermatis (45.8%) and Malassezia furfur (30.5%) were the most common yeast species in cats and humans, respectively. However, no significant correlation was detected between the yeast species identified in cats and their owners residing in the same household (p > 0.05). Miconazole exhibited the highest minimum inhibitory concentrations (MICs) against Malassezia pachydermatis and Malassezia furfur in both cat and human isolates, whereas terbinafine showed the lowest MICs against most Malassezia pachydermatis and Malassezia furfur in both cat and human isolates. Diverse yeast species in cat facial hair and human nails suggest possible cross-contamination among humans, pets, and environments.
Survival benefit of inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a nationwide cohort study
Authors: Shin Jiyoung , Park Sojung , Lee Ji-Young , Lee Jin Hwa 
Published: June 2024

AbstractThe role of inhaled corticosteroids (ICS) in chronic obstructive pulmonary disease (COPD) is debated. We investigated whether the administration of ICS could lower the mortality risk in patients with COPD. We utilized the Korean National Health Insurance Service-National Sample Cohort database from 2002 to 2019. We included patients who had claim codes for COPD and inhalation respiratory medicine at least twice a year. A time-dependent Cox regression model was employed to estimate the association between ICS usage and survival. The cumulative dose of ICS was classified into three groups, and the mortality risk was compared among these groups. Of 16,463 included patients, there were 4395 (26.7%) deaths during the mean follow-up period of 5.0 years. The time-dependent Cox regression model demonstrated that ICS users had a significantly lower mortality risk compared to non-users (adjusted hazard ratio, 0.89; 95% CI, 0.83–0.94; p < 0.001), particularly among individuals aged ≥ 55 years, women, never smokers, and those with history of asthma or coronary heart disease. Higher cumulative dose groups were associated with a lower mortality risk compared to the lowest cumulative dose group. In conclusion, the administration of ICS seemed to be associated with a lower mortality risk in patients with COPD.
Association of smoking cessation patterns and untreated smoking with glaucoma, cataract, and macular degeneration: a population-based retrospective study
Authors: Tseng Yuan-Tsung , Huang Sheng-Tang , Wang Chun-Hsiang , Wang Ling-Yu , Kuo Yi-Chun 
Published: June 2024

AbstractThis study aims to assess the association between nicotine replacement therapy (NRT), varenicline, and untreated smoking with the risk of developing eye disorders. We employed a new-user design to investigate the association between NRT use and the incidence of eye disorders by the Taiwan National Health Insurance program. This study included 8416 smokers who received NRT and 8416 smokers who did not receive NRT (control group) matched using propensity scores between 2007 and 2018. After adjustment for relevant factors, a multivariable Cox regression analysis revealed that compared with untreated smokers, NRT use was associated with a significantly reduced risk of macular degeneration (hazard ratio [HR]: 0.34; 95% confidence interval [CI]: 0.13–0.87, P = 0.024). When stratified by dose, short-term NRT use (8–28 defined daily doses) was associated with significantly lower risk of glaucoma (HR: 0.35; 95% CI: 0.16–0.80, P = 0.012) and a trend toward reduced risk of cataract (HR: 0.60; 95% CI: 0.36–1.01, P = 0.053) compared to no treatment. However, these associations were not observed with long-term NRT use. The results of this real-world observational study indicate that NRT use, particularly short-term use, was associated with a lower risk of certain eye disorders compared to no treatment for smoking cessation. Long-term NRT use did not demonstrate the same benefits. Thus, short-term NRT may be a beneficial treatment strategy for reducing the risk of eye disorders in smokers attempting to quit. However, further evidence is required to verify these findings and determine the optimal duration of NRT use.
The silibinin-loaded Zein-β cyclodextrin nano-carriers (SZBC-NCs) as a novel selective cancer cell drug delivery system in HT-29 cell line
Authors: al Alabdullah Muslim Abdulrazzaq A. , Goodarzi Mohammad Taghi , Homayouni Tabrizi Masoud 
Published: June 2024

AbstractEntrapping phytochemical bioactive compounds into nano-structured biocompatible polymers has been successfully utilized for improving cancer treatment efficiency. Silibinin is a potent compound that shows promising anticancer properties. In the present study, the Zein-β-cyclodextrin complex was used to encapsulate silibinin and evaluate the induced cell death type and cytotoxic impacts on human cancer cells. The silibinin-loaded Zein-β cyclodextrin nano-carriers (SZBC-NCs) were synthesized utilizing a gradual ultrasound-mediated homogenization technique and characterized by Zeta potential, DLS, FESEM, and FTIR analysis. The SZBC-NCs’ antioxidant activity was studied by conducting ABTS and DPPH radical scavenging assays. Finally, the SZBC-NCs selective toxicity and cellular death induction mechanism were studied on the HT-29 and AGS cancer cells by measuring the cell survival and apoptotic gene (Caspase 3, 9), respectively, which were verified by conducting the DAPI staining analysis. The negatively charged (− 27.47 mV) nanoparticles (286.55 nm) showed significant ABTS and DPPH radical scavenging activity. Moreover, the remarkable decrease in the IC50 concentrations of the SZBC-NCs among the HT-29 and AGS cancer cell lines exhibited their selective cytotoxic potential. Also, the overexpressed apoptotic (Caspases 3 and 9) and down-regulated necrotic (NFKB) gene expressions following the SZBC-NCs treatment doses indicated the apoptotic activity of SZBC-NCs, which were verified by the increased apoptotic morphology of the DAPI-stained HT-29 cancer cells. The antioxidant and colon cancer cell-related apoptotic activity of the SZBC-NCs make it an appropriate anti-colon cancer nano delivery system. Therefore, they can potentially be used as a safe efficient colon cancer treatment strategy. However, further in vivo experiments including animal cancer models have to be studied.
Individual characteristics outperform resting-state fMRI for the prediction of behavioral phenotypes
Authors: Omidvarnia Amir , Sasse Leonard , Larabi Daouia I. , Raimondo Federico , Hoffstaedter Felix , Kasper Jan , Dukart Jürgen , Petersen Marvin , Cheng Bastian , Thomalla Götz , Eickhoff Simon B. , Patil Kaustubh R. 
Published: June 2024

AbstractIn this study, we aimed to compare imaging-based features of brain function, measured by resting-state fMRI (rsfMRI), with individual characteristics such as age, gender, and total intracranial volume to predict behavioral measures. We developed a machine learning framework based on rsfMRI features in a dataset of 20,000 healthy individuals from the UK Biobank, focusing on temporal complexity and functional connectivity measures. Our analysis across four behavioral phenotypes revealed that both temporal complexity and functional connectivity measures provide comparable predictive performance. However, individual characteristics consistently outperformed rsfMRI features in predictive accuracy, particularly in analyses involving smaller sample sizes. Integrating rsfMRI features with demographic data sometimes enhanced predictive outcomes. The efficacy of different predictive modeling techniques and the choice of brain parcellation atlas were also examined, showing no significant influence on the results. To summarize, while individual characteristics are superior to rsfMRI in predicting behavioral phenotypes, rsfMRI still conveys additional predictive value in the context of machine learning, such as investigating the role of specific brain regions in behavioral phenotypes.
Worldwide delineation of multi-tier city–regions
Authors: Cattaneo Andrea , Girgin Serkan , de By Rolf , McMenomy Theresa , Nelson Andrew , Vaz Sara 
Published: June 2024

AbstractUrban centers are pivotal in shaping societies, yet a systematic global analysis of how countries are organized around multiple urban centers is lacking. We enhance understanding by delineating city–regions worldwide, classifying over 30,000 urban centers into four tiers—town, small, intermediate and large city—based on population size and mapping their catchment areas based on travel time, differentiating between primary and secondary city–regions. Here we identify 1,403 primary city–regions employing a 3 h travel time cutoff and increasing to 4,210 with a 1 h cutoff, which is more indicative of commuting times. Our findings reveal substantial interconnectedness among urban centers and with their surrounding areas, with 3.2 billion people having physical access to multiple tiers within an hour and 4.7 billion within 3 h. Notably, among people living in or closest to towns or small cities, twice as many have easier access to intermediate than to large cities, underscoring intermediate cities’ crucial role in connecting surrounding populations. This systematic identification of city–regions globally uncovers diverse organizational patterns across urban tiers, influenced by geography, level of development and infrastructure, offering a valuable spatial dataset for regional planning, economic development and resource management.
Visual detection of misfolded alpha-synuclein and prions via capillary-based quaking-induced conversion assay (Cap-QuIC)
Authors: Christenson Peter R. , Jeong Hyeonjeong , Ahn Hyerim , Li Manci , Rowden Gage , Shoemaker Rachel L. , Larsen Peter A. , Park Hye Yoon , Oh Sang-Hyun 
Published: June 2024

AbstractNeurodegenerative protein misfolding diseases impact tens of millions of people worldwide, contributing to millions of deaths and economic hardships across multiple scales. The prevalence of neurodegenerative disease is predicted to greatly increase over the coming decades, yet effective diagnostics for such diseases are limited. Most diagnoses come from the observation of external symptoms in clinical settings, which typically manifest during relatively advanced stages of disease, thus limiting potential therapeutic applications. While progress is being made on biomarker testing, the underlying methods largely rely on fragile and expensive equipment that limits their point-of-care potential, especially in developing countries. Here we present Capillary-based Quaking Induced Conversion (Cap-QuIC) as a visual diagnostic assay based on simple capillary action for the detection of neurodegenerative disease without necessitating expensive and complex capital equipment. We demonstrate that Cap-QuIC has the potential to be a detection tool for a broad range of misfolded proteins by successfully distinguishing misfolded versus healthy proteins associated with Parkinson’s disease (α-synuclein) and Chronic Wasting Disease (prions). Additionally, we show that Cap-QuIC can accurately classify biological tissue samples from wild white-tailed deer infected with Chronic Wasting Disease. Our findings elucidate the underlying mechanism that enables the Cap-QuIC assay to distinguish misfolded protein, highlighting its potential as a diagnostic technology for neurodegenerative diseases.