bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of perioperative and oncological outcomes between extracorporeal and intracorporeal urinary diversion following laparoscopic radical cystectomy and robot-assisted radical cystectomy
Authors: Fukuhara Hideo , Osakabe Hiroto , Nao Tomoya , Shimamoto Tsutomu , Fukada Satoshi , Tamura Kenji , Ashide Shingo , Karashima Takashi , Inoue Keiji 
Published: December 2023

Abstract
Background
This study aimed to compare oncological outcomes between intracorporeal urinary diversion (ICUD) and extracorporeal urinary diversion (ECUD) following radical cystectomy in Japan.
Methods
This retrospective study included 110 patients who underwent laparoscopic radical cystectomy (LRC) or robot-assisted radical cystectomy (RARC) from 2013 to 2023. Twenty-nine participants underwent LRC with ECUD, 40 participants underwent RARC with ECUD, and 32 participants underwent RARC with ICUD. Predictors of postoperative outcomes were evaluated using a Cox proportional hazards model. Recurrence-free survival (RFS) and overall survival (OS) were measured using the Kaplan-Meier method.
Results
Estimated RFS at 36 months for RARC with ICUD, RARC with ECUD and LRC with ECUD was 79.9% (95% CI 57.9–91.2), 52.5% (95% CI 31.1–70.1) and 62% (95% CI 40.7–77.5), respectively. Estimated OS at 36 months for RARC with ICUD, RARC with ECUD and LRC with ECUD was 87.1% (95% CI 54.4–96.9), 60.4% (95% CI 33.6–79.3) and 80.7% (95% CI 56.9–91.5), respectively.
Conclusions
There were no statistically significant differences in oncological outcomes between ECUD and ICUD based on surgical approach. Only pathological stage ≥ T3 and N positivity were common predictors of poor OS and RFS outcomes.
Clinical and Lab Findings in Predicting COVID-19 Outcomes in Older Adults
Authors: Ashjazadeh Hamidreza , Zandieh Zhale , Niksolat Maryam , Nabi Somaye , Zanjari Nasibeh , Yarandi Razieh Bidhendi , Azadbakht Mojtaba 
Published: December 2023

Abstract
Introduction: The novel coronavirus 2019 (COVID-19) seriously threatens people's lives worldwide. A practical solution to curb the pandemic is to facilitate the recognition of poor prognostic factors at earlier stages, especially in vulnerable groups such as elderly individuals, to help clinicians make timely decisions on treatment initiation.Methods This retrospective cross-sectional study was performed on 534 COVID-19 patients aged 60 years and above. Initially, demographic characteristics, severity, clinical symptoms, vital signs, and underlying diseases were analyzed in survivors and non-survivors; finally, the association between these variables and mortality rate was reported.Results The average age of the population was 72.5 ± 8.77 years, while the average age of survivors and non-survivors was 71.57 ± 8.61 years and 75.51 ± 8.64 years. Overall mortality was 23.2%, which increased to 87% in patients admitted to ICU. Mortality was 53%, with troponin ≥ 100, 41% with RDW > 16 and 44% with MCV > 96.1. It was 64% in patients with autoimmune diseases and 51% in cases with CKD. Patients with diastolic or systolic hypotension showed mortality of 52% and 50%.Conclusions ICU admission was the strongest predictive indicator for poor outcomes. Indeed, underlying diseases, increased troponin, RDW, MCV, and diastolic and systolic hypotension were associated with increased mortality.MeSH terms: COVID-19, SARS-CoV-2, Age, Mortality, Prognosis
Targeting real-world maps of multiple primary carcinoma combinations and theirsurvival status in Shanghai, China
Authors: Shi Jianwei , Chen Yichen , Chen Chen , Li Xiaopan , Jin Hua 
Published: December 2023

Abstract
Objective: Little is known about the real-world maps of primary malignancies and their following primary malignancies, as well as the associated survival status for the patterns of multiple primary carcinoma (MPC).
Methods: We retrospectively screened the data of 1,560 patients with MPC from the 86 public health institutions in Shanghai during 2002-2015. The distribution of the frequency and proportion of primary carcinoma (PC) combinations were depicted, and a life table was used to calculate the 1- to 5-year survival rates. Cox regression analysis was performed to analyze the survival risk factors of the first and second PCs.
Results: The map showed that the most frequent first PCs were colorectal (13.08%), breast (11.60%), and stomach (9.29%), while the most frequent second PCs were lung (17.56%), colorectal (16.28%), and stomach cancers (9.10%). The most common combinations included colorectal + lung, colorectal + stomach, colorectal + prostate. The first PCs of skin and lung cancer had the lowest survival rate, and the second PCs of pancreas and liver cancer had the lowest survival rates. When the latency between diagnoses of PCs was ≤ 12 months, patients had a higher risk of cancer-specific mortality. Higher risk groups included those > 65 years old with III + IV stage cancers.
Conclusions: These findings highlight specific PC combinations with low survival rates, as well as their risk factors. Comprehensive prevention and control strategies for MPC should be developed, and clinicians should be aware of the risks of MPCin vulnerable populations at an early diagnosis stage.
Preparation and Characterization of Affordable Experimental Sensors Array for Particulate Matter Sensing
Authors: Javadzadehkalkhoran Majid , Trabzon Levent 
Published: December 2023

Abstract
Interest for particulate matter (PM) sensors has increased significantly during last decade. Having a proper experimental setup to test these sensors is necessary. Most of the devices that are used in the PM test setups for both PM generating and measuring are bulky and expensive. In this study a cost-effective experimental setup has been designed with a custom made PM generator and small size laser and quartz crystal microbalance (QCM) sensors. The generator has the capability of producing PM from three different sources: dry powder, liquid suspension and combustion. The QCM completes the weakness of small laser sensors for sensing the ultra-fine particles. Moreover, performance of the QCM sensor has been investigated with different PM sources and different ambient conditions. It has been found that the response of QCM could be affected from PM source and ambient condition. The change in PM composition and size causes notable impact on QCM response. Relative humidity (RH) also could change the sensor response up to 22%. While changing the temperature of the flow has not significant effect on QCM response, increasing the temperature from 25°C to 30°C caused 12% change in QCM response in grease-coated one. The QCM sensor has the best response with small size smoke PM’s with lowest effect from ambient conditions.
Analysis of CYP1B1 polymorphisms in lung cancer patients using novel, quick and easy methods based on CAPS and ACRS-PCR techniques
Authors: Dąbrowski Adam , Nowicki Maciej , Budzyńska Aleksandra , Suchodolski Jakub , Ogórek Rafał , Chabowski Mariusz , Przywara Katarzyna 
Published: December 2023

Abstract

Within the sequence of the CYP1B1 gene, more than 50 polymorphisms, resulting from single nucleotide changes (SNPs), have been described. Part of them play an important role as specific genetic markers in the process of carcinogenesis and for therapeutic purposes. In this publication, we present methods we have developed that enable specific and unambiguous identification of four polymorphisms that result in amino acid changes: c. 142C > G, c. 355G > T, c. 1294C > G, and c. 1358A > G. Our studies are based on CAPS and ACRS-PCR techniques, therefore they require only basic laboratory equipment and low financial outlays. Utilizing the described methods allows for the reduction of research time, cost, and the minimization of errors. Their effectiveness and efficiency depend on the careful design of appropriate primers and the precise selection of suitable restriction enzymes. As a result, further confirmation by sequencing is not necessary. Using the developed method, we examined 63 patients diagnosed with lung cancer and observed a 1.5 to 2.1 times higher frequency of the analyzed single nucleotide polymorphisms compared to the frequency in the European population. No correlation was found between the occurrence of the tested polymorphisms and the histopathological diagnosis or stage of cancer advancement.
Tumor Necrosis Factor-α Inhibitors Increase the Risk of Hepatitis B Virus Reactivation in Patients with Ankylosing Spondylitis
Authors: Yen Yi-Ning , Chen Yao-Sheng , Tsai Hung-Cheng , Sun Yi-Syuan , Liao Hsien-Tzung , Lai Chien-Chih , Chen Wei-Sheng , Chen Ming-Han , Huang Yi-Hsiang 
Published: December 2023

Abstract
Background/Purpose Biologic agents may cause hepatitis B virus (HBV) reactivation in patients with rheumatoid arthritis or hematological diseases. However, little is known about HBV reactivation (HBVr) in ankylosing spondylitis (AS) patients receiving biologics.Methods A total of 1959 AS patients were retrospectively screened from year 2005 to 2019. The medical record of 448 patients with available HBV markers were carefully reviewed. The incidence and risk factors for HBVr were examined.Results Among the 448 AS patients, 172 were enrolled in our study after excluding those with antiviral prophylaxis, negative hepatitis B core antibody (anti-HBc), and missing data. Sixty-seven (39.0%) of them were hepatitis B surface antigen (HBsAg) positive at baseline, and 14 (20.9%) developed HBVr during a follow-up of 536 patient-years. Eight were treated with tumor necrosis factor-alpha inhibitor (TNFi). The median time for the 8 patients receiving biologics to develop HBVr was 11.5 months (ranging from 5 to 71 months). Multivariate logistic regression analysis showed that receiving TNFi was an independent risk factor for HBVr in HBsAg-positive patients (hazard ratio (HR) 4.365, 95% CI: 1.4–13.9, P = .013). One (7.1%) patient with HBVr developed liver decompensation, and there was no death. Also, none of the HBsAg-negative patients experienced HBsAg reverse seroconversion.Conclusion TNFi exposure can induce HBVr in HBsAg-positive patients with AS, and the incidence was substantial. Monitoring HBV viral load is necessary for HBsAg-positive patients undergoing TNFi in the absence of antiviral prophylaxis.
Chloroplast genome of Calamus tetradactylus revealed rattan phylogeny
Authors: Zhang Haibo , Liu Peng , Zhang Yi , Sun Huayu , Wang Yue , Gao Zhimin , Liu Xin 
Published: December 2023

Abstract
Background
Calamus tetradactylus, a species primarily distributed in Vietnam, Laos, and southern China, is highly valued for its utilization as a small-diameter rattan material. While its physical and mechanical properties have been extensively studied, the genomic characteristics of C. tetradactylus remain largely unexplored.
Results
To gain a better understanding of its chloroplast genomic features and evolutionary relationships, we conducted sequencing and assembly of the chloroplast genome of C. tetradactylus. The complete chloroplast genome exhibited the typical highly conserved quartile structure, with specific variable regions identified in the single-copy region (like psbF-psbE, π = 0.10327, ndhF-rpl32, π = 0.10195), as well as genes such as trnT-GGU (π = 0.05764) and ycf1 (π = 0.03345) and others. We propose that these regions and genes hold potential as markers for species identification. Furthermore, phylogenetic analysis revealed that C. tetradactylus formed a distinct clade within the phylogenetic tree, alongside other Calamus species, and C. tetradactylus was most closely related to C. walkeri, providing support for the monophyly of the genus.
Conclusion
The analysis of the chloroplast genome conducted in this study provides valuable insights that can contribute to the improvement of rattan breeding programs and facilitate sustainable development in the future.
Pathogen lifestyle determines host genetic signature of quantitative disease resistance loci in oilseed rape (Brassica napus)
Authors: Jacott Catherine Nancy , Schoonbeek Henk-jan , Sidhu Gurpinder Singh , Steuernagel Burkhard , Kirby Rachel , Zheng Xiaorong , von Tiederman Andreas , Macioszek Violetta K , Kononowicz Andrzej K , Fell Heather , Fitt Bruce DL , Mitrousia Georgia K , Stotz Henrik U , Ridout Christopher J , Wells Rachel 
Published: December 2023

Abstract
Crops are affected by several pathogens, but these are rarely studied in parallel to identify common and unique genetic factors controlling diseases. Broad-spectrum quantitative disease resistance (QDR) is desirable for crop breeding as it confers resistance to several pathogen species. Here, we use associative transcriptomics (AT) to identify candidate gene loci associated with Brassica napus QDR to four contrasting fungal pathogens: Alternaria brassicicola, Botrytis cinerea, Pyrenopeziza brassicae, and Verticillium longisporum. We did not identify any shared loci associated with broad-spectrum QDR to fungal pathogens with contrasting lifestyles. Instead, we observed QDR dependent on the lifestyle of the pathogen—hemibiotrophic and necrotrophic pathogens had distinct QDR responses and associated loci, including some loci associated with early immunity. Furthermore, we identify a genomic deletion associated with resistance to V. longisporum and potentially broad-spectrum QDR. This is the first time AT has been used for several pathosystems simultaneously to identify host genetic loci involved in broad-spectrum QDR. We highlight candidate loci for broad-spectrum QDR with no antagonistic effects on susceptibility to the other pathogens studies as candidates for crop breeding. In conclusion, this study represents an advancement in our understanding of broad-spectrum (QDR) in B. napus and is a significant resource for the scientific community.
Nrf2 activation rescues stress-induced depression-like behaviour and inflammatory responses in male but not female rats
Authors: McCallum Ryan , Theriault Rachel-Karson , Manduca Joshua , Russell Isaac , Culmer Angel , Doost Janan Shoja , Martino Tami , Perreault Melissa 
Published: December 2023

Abstract
Background
Major depressive disorder (MDD) is a recurring affective disorder that is two times more prevalent in females than males. Evidence supports immune system dysfunction as a major contributing factor to MDD, notably in a sexually dimorphic manner. Nuclear factor erythroid 2-related factor 2 (Nrf2), a regulator of antioxidant signaling during inflammation, is dysregulated in many chronic inflammatory disorders, however its role in depression and the associated sex differences have yet to be explored. Here we investigated the sex-specific antidepressant and immunomodulatory effects of the potent Nrf2 activator dimethyl fumarate (DMF), as well as the associated gene expression profiles.
Methods
Male and female rats were treated with vehicle or DMF (25 mg/kg) while subjected to 8 weeks of chronic unpredictable stress. The effect of DMF treatment on stress-induced depression- and anxiety-like behaviours, as well as deficits in recognition and spatial learning and memory were then assessed. Sex differences in hippocampal (HIP) microglial activation and gene expression response were also evaluated.
Results
DMF treatment during stress exposure had antidepressant effects in male but not female rats, with no anxiolytic effects in either sex. Recognition learning and memory and spatial learning and memory were impaired in chronically stressed males and females, respectively, and DMF treatment rescued these deficits. DMF treatment also prevented stress-induced HIP microglial activation in males. Conversely, females displayed no HIP microglial activation associated with stress exposure. Lastly, chronic stress elicited sex-specific alterations in HIP gene expression, many of which were normalized in animals treated with DMF. Of note, most of the differentially expressed genes in males normalized by DMF were related to antioxidant, inflammatory or immune responses.
Conclusions
Collectively, these findings support a greater role of immune processes in males than females in a rodent model of depression. This suggests that pharmacotherapies that target Nrf2 have the potential to be an effective sex-specific treatment for depression.
Fascin-1 re-expression promotes cell metastasis through epithelial-mesenchymal transition in canine mammary tumour CHMm cell
Authors: Wang Xin , Zhou Ye , Haseeb Abdul , Li Hongquan , Zheng Xiaozhong , Guo Jianhua , Cheng Xiaoliang , Yin Wei , Sun Na , Sun Panpan , Zhang Zhenbiao , Yang Huizhen , Fan Kuohai 
Published: December 2023

Abstract
Background
Canine mammary tumour (CMT) is the most common tumour disease in female dogs. At the same time, the popular concept of preferring purebred dogs when choosing pets has affected the incidence of mammary tumours in dogs. In this study, we obtained a metastatic key protein, Fascin-1, by comparing the proteomics data of in situ tumour and metastatic cell lines from the same individual. However, the role of Fascin-1 in CMT cell line is still unclear.
Results
To investigated the effects and mechanism of re-expression Fascin-1 on the migration, adhesion and invasion using the CMT cell line CHMm in vitro. Firstly, the proteomics and Western blot methods were used to analyse the differential expression of Fascin-1 between CMT cell line CHMm and CHMp. The CHMm cells isolated from CMT abdominal metastases barely express Fascin-1. Then, the Fascin-1 re-expression cell line CHMm-OE was established using Lentivirus transduction. The CHMm-OE cells could enhance the abilities of cell migration, adhesion, and invasion, promote the formation of lamellipodia, and affect the protein expression related to metastasis and EMT proteins that proteomic points out. Finally, the differentially expressed proteins (DEPs) in CHMm and CHMm-OE cells were identified through proteomics, which involved the positive regulation of cell adhesion, epithelial cell differentiation, extracellular matrix, focal adhesion, dioxygenase activity, and cytoskeleton protein binding. Reactive oxygen species, IL-17, VEGF, and HIF-1 signalling pathway along with Fascin-1 might be involved in cell metastasis.
Conclusions
However, the Fascin-1 re-expressed could promote cell EMT and increase the formation of lamellipodia, resulting in the enhancement of CHMm cell migration, adhesion and invasion in vitro. This may be beneficial to improve the welfare of female dogs and improve the prognosis of CMT.
Social media can predict the COVID-19 epidemic in China
Authors: Liu Shengyu , Ma Mingtao , Li Zhi , Zhong Shiyu , Wang Yudong , Cui Jing , Yang Zhe , Bao Yijun , Shi Xin 
Published: December 2023

Abstract
Background：To investigate whether social media data can predict the prevalence of the COVID-19 epidemic and to compare the differences between the information on COVID-19 reflected in social media and the officially published information.
Methods：The Severe acute respiratory syndrome coronavirus 2 related data from Microblog (Sina Weibo) from November 30 to December 31，2022 were collected using a Weibo crawler with a total of 598,285 entries. Text clustering, spatio-temporal analysis and sentiment analysis were used to explore hot topics of public interest and describe COVID-19 related information in China.
Result：The COVID-19 outbreak in China in December 2022 can be divided into four phases, with peak symptoms occurring from December 13 to December 28 and peak symptom frequency on December 15. Shanghai was less concerned with COVID-19 information, while Beijing was the first province to experience a peak in fever symptoms. Guangdong, the first province to have a liberalized outbreak, had a later peak of fever, and Sichuan had the most discussion about fever symptoms. It is thought that the infection spread from the central and western provinces and some northern provinces to surrounding areas. In late December, national concern about respiratory symptoms decreased, instead, discussion of ear, nose, and throat and systemic symptoms increased. The general emotion of the population was positive.
Conclusion：Social media can predict the COVID-19 epidemic in China. The peak of COVID-19 symptoms in China in December 2022 was on December 15, one week before the peak of the officially confirmed data.
Impact of land use change on carbon emissions in the rapidly urbanizing Nanjing: Past trajectories and future projections
Authors: Wu Jiahui , li kongqing 
Published: December 2023

Abstract
Land-use carbon emissions are the second largest source of emissions after energy combustion, and since cities are the primary source and aggregator of emissions, studies related to land-use carbon emissions in urban areas are crucial to understanding the impact of human activities on regional sustainable development. Taking Nanjing as an example, this paper analyzes the carbon emissions under different land use types in Nanjing from 2010 to 2020 based on four remote sensing image data periods in 2010, 2015, 2018, and 2020, using ArcGIS software combined with the land use transfer matrix. Meanwhile, to predict the impact of land use changes on carbon emissions in Nanjing, IDRISI software was borrowed to simulate the land use in 2030–2040, and relevant estimation methods were adopted to predict the carbon emissions from land use. The analysis results show that the net carbon emissions in Nanjing are on a rising trend year by year, in which the contribution of construction land to carbon emissions is the largest and shows a continuous growth trend. The prediction results show that the growth rate of carbon emissions in Nanjing will slow down and become smaller in 2030–2040, indicating that the national management of carbon emissions from urban land use is gradually increasing.
Glucose uptake in trophoblasts of GDM mice is regulated by the AMPK-CLUT3 signaling pathway
Authors: Xiao Zhenghua , liu Xue , Luan Xiaojin , Duan Ran , Peng Wei , Tong Chao , Qiao Juan , Qi Hongbo 
Published: December 2023

Abstract
Introduction: GDM as a metabolic disease during pregnancy, regulates GLUT3 translocation by AMPK, thereby affecting glucose uptake in trophoblasts. It provides a new research idea and therapeutic target for alleviating intrauterine hyperglycemia in GDM.
Methods: STZ was used to construct GDM mice, inject AICAR into pregnant mice, and observe fetal and placental weight; flow cytometry was employed for the detection of glucose uptake by primary trophoblast cells; immunofluorescence was applied to detect the localization of GLUT3 and AMPK in placental tissue; Cocofal microscope was used to detect the localization of GLUT3 in trophoblast cells;qRT-PCR and Western blot experiments were carried out to detect the expression levels of GLUT3 and AMPK in placental tissue; CO-IP was utilized to detect the interaction of GLUT3 and AMPK.
Results: Compared with the normal pregnancy group, the weight of the fetus and placenta of GDM mice increased (P<0.001), and the ability of trophoblasts to take up glucose decreased (P<0.001).In addition, AMPK activity in trophoblasts and membrane localization of GLUT3 in GDM mice were down-regulated compared with normal pregnant mice (P<0.05). There is an interaction between GLUT3 and AMPK. Activating AMPK in trophoblasts can up-regulate the expression of GLUT3 membrane protein in trophoblasts of mice (P<0.05) and increase the glucose uptake of trophoblasts (P<0.05).
Discussion: Inhibition of AMPK activity in GDM mice results in aberrant localization of GLUT3, which in turn attenuates glucose uptake by placental trophoblast cells.AICAR activates AMPK to increase the membrane localization of GLUT3 and improve the glucose uptake capacity of trophoblasts.