bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management of IDH-mutant astrocytoma based on WHO 2021 classification of central nervous system tumors: a single center retrospective study
Authors: Xing Hao , Wang Yuekun , Guo Xiaopeng , Chen Wenlin , Wang Yaning , Liang Tingyu , Wang Hai , Li Yilin , Jin Shanmu , Shi Yixin , Liu Delin , Yang Tianrui , Xia Yu , Li Junlin , Wu Jiaming , Liu Qianshu , Qu Tian , Guo Siying , Li Huanzhang , Zhang Kun , Wang Yu , Ma Wenbin 
Published: January 2023

Abstract
Purpose: The diagnosis of glioma has got an advance since the WHO 2021 classification published with more molecular alternations involved in the integrate diagnoses pathways. Our study was aimed to show our experience on the clinical features and management of astrocytoma, IDH-mutant based on latest WHO classification.
Methods: Patients diagnosed with astrocytoma, IDH-mutant based on WHO 5th edition classification of CNS tumors at our center from Jan 2009 to Jan 2022 were included, and divided to WHO 2-3 grade group and WHO 4 grade group. Integrate diagnoses according to WHO 2016 and 2021 classification were confirmed retrospectively. Clinical and MRI features were reviewed and survival analysis was done.
Results: A total of 60 patients were included. 21.43% (6/28) of patients diagnosed with grade II and 58.33% (7/12) of patients with grade III by WHO 4th edition classification changed into grade 4 by WHO 5th classification. Sex, recurrent glioma and Ki-67 index of pathological exam were statistically different in WHO grade 2-3 group (n=27) and WHO grade 4 group (n=33). CDK6, FGFR2, MYC alterations shown an enrichment in WHO grade 4 group. Patients with higher grade shown shorter mOS (mOS=75.9m, 53.6m, 26.4m for grade 2, 3, 4 respectively). FGFR2 alternations was associated with worse survival for patients with astrocytoma, IDH-mutant, WHO grade 4 (p=0.013).
Conclusion: Patients changed diagnoses as WHO grade 4 by 2021 WHO classification had worse prognoses, and treatment should be tailored personally for them. More researches of the management of IDH-mutant astrocytoma are needed in the future.
Identification of novel and salt-stress-regulated miRNAs from root of Melilotus officinalis (L.) Pall. by qRT-PCR
Authors: Zhao Yuxin , Kao Huixia , Chen Xuemei , Wang Tiemei , Zhang Yu , Sun Yongjiang , Xiao Huijie , Dong Shubin , Cheng Jin 
Published: January 2023

Abstract
Salinity is regarded as the main environmental stress, which affects plant growth and physiological functions. miRNAs play crucial roles in plants salt stress response. Melilotus officinalis (L.) Pall. (MO) is an excellent forage and honey plant. In addition to its high medicinal values and outstanding ecological effects, MO also has the ability of salt tolerance. However, the miRNA expression mechanism of MO in response to salt stress is still unclear. To reveal the salt tolerance related miRNAs and predict their target genes in MO, we extracted a small RNA library from the roots of MO seedlings without salt treatment and used 300 mM NaCl treated roots of MO seedlings to construct another small RNA library. We identified 93 novel and 98 known miRNAs in control, 100 novel and 115 known miRNAs in case. 27 up-regulation and 20 down-regulated miRNAs were selected, 466 potential target miRNAs and 520 sites were predicted by differential expression analysis. 9 miRNAs were verified by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Our findings summary the miRNAs and their targets for regulating salt defense reactions in MO. The discussion will be helpful to study the molecular mechanisms of salt resistance of MO and other Leguminosae species.
16S rRNA gene analysis reveals differentially abundant Actinobacteria, Firmicutes, and Proteobacteria in the tumors and adjacent healthy tissues of patients with hepatocellular carcinoma
Authors: Li Jie , Zhai Xuanpei , Chen Changzhou , Zhang Rong , Huang Xiaowu , Liu Yifan 
Published: January 2023

Abstract

Background Dysbiosis of the gut-liver axis poses a risk of increased influx of microbes and/or their metabolites into the liver, and such increased influx may constitute a risk factor for the development of hepatocellular carcinoma (HCC). In this pilot study, we compared the microbiomes in HCC tumors and adjacent healthy tissues. Method We examined the HCC tumors and adjacent healthy tissues from 19 patients diagnosed with HCC. The hypervariable V3–V4 regions of the microbial 16S rRNA gene in these samples were sequenced following amplification via polymerase chain reaction. The sequencing data were analyzed using QIIME2 and the linear discriminant analysis effect size (LEfSe) algorithm on the Galaxy Platform. The samples were categorized according to their microbial diversity at the genus level (p ≤ 0.050). Results The liver tissues from HCC patients with/without capsule invasion presented with lower alpha diversity at the genus level (Observed Features metrics,p = 0.028). Metagenomic profiling revealed thatStaphylococcus,Atopobium,Pseudomonadaceae,Propionibacterium, andCorynebacteriumwere enriched in the HCC tumors from patients with capsule invasion, whereasPseudomonaswas scant in the HCC tumors from patients without capsule invasion. An increased abundance ofActinobacteria,Firmicutes, andProteobacteriawas observed in the adjacent healthy tissues from patients with various stages of HCC. Conclusions The presence of various types of microbial 16S rRNAs in HCC tumors and adjacent healthy tissues indicates the presence of various microbial communities therein. HCC is presumably associated with an inordinate gut microbiota, which may affect the development of HCC. The increased microbial influx into the liver in HCC patients may constitute an early risk factor for the progression of HCC. Accordingly, our results may provide microbiota-oriented therapeutic targets for personalized treatment approaches in HCC.
Predicting disease severity in Multiple Sclerosis using multimodal data and machine learning
Authors: Andorra Magi , Freire Ana , Zubizarreta Irati , de Rosbo Nicole Kerlero , Bos Steffan D. , Rinas Melanie , Høgestøl Einar A. , Benavent Sigrid A. Rodez , Berge Tone , Brune-Ingebretse Synne , Ivaldi Federico , Cellerino Maria , Pardini Matteo , Vila Gemma , Pulido-Valdeolivas Irene , Martinez-Lapiscina Elena H. , Llufriu Sara , Saiz Albert , Blanco Yolanda , Martinez-Heras Eloy , Solana Elisabeth , Bäcker-Koduah Priscilla , Behrens Janina , Kuchling Joseph , Asseyer Susanna , Scheel Michael , Chien Claudia , Zimmermann Hanna , Motamedi Seyedamirhosein , Kauer-Bonin Joseph , Brandt Alex , Saez-Rodriguez Julio , Alexopoulos Leonidas , Paul Friedemann , Harbo Hanne F , Shams Hengameh , Oksenberg Jorge , Uccelli Antonio , Baeza-Yates Ricardo , Villoslada Pablo 
Published: January 2023

Abstract
Background
Multiple Sclerosis patients would benefit from machine learning algorithms that integrates clinical, imaging, and multimodal biomarkers to define the risk of disease activity.
Methods
We have analyzed a prospective multi-centric cohort of 322 MS patients and 98 healthy controls from four MS centers, collecting disability scales at baseline and 2 years later. Imaging data included brain MRI and optical coherence tomography, and omics included genotyping, cytomics and phosphoproteomic data from peripheral blood mononuclear cells. Predictors of clinical outcomes were searched using Random Forest algorithms. Validation was conducted in an independent prospective cohort of 271 MS patients from a single center.
Results
We found algorithms for predicting confirmed disability accumulation for the different scales, No Evidence of Disease Activity (NEDA), onset of immunotherapy and the escalation from low- to high-efficacy therapy with intermediate to high-accuracy. This accuracy was achieved for most of the predictors by using clinical data alone or in combination with imaging data. Still, in some cases, the addition of omics data slightly increased algorithm performance. Accuracies were comparable in the discovery and validation cohorts.
Conclusion
Combining clinical, imaging, and omics data with machine learning helps to identify MS patients at risk of disability worsening.
Investigation of the Electronic Properties of Vitamin A: Focus on Milk Analysis
Authors: Junqueira Geórgia Maria A. , Bell Maria Jose V. , Anjos Virgílio C. dos 
Published: January 2023

Abstract
Structural, reactivity and spectroscopic properties of vitamin A in its retinoid forms are examined. Time-Dependent DFT approach is used to study the first three electronically excited states of retinol, retinyl ester, retinol acetate and retinal. Singlet-singlet type vertical electronic transitions are considered. Computational simulations are carried out in the gas phase and in solution, within the polarizable continuum model. Once vitamin A is a natural fluorophore in milk, our findings contribute to understand its behavior in different environments, either to differentiate types of milk or to assess the quality of dairy products.
Perception of Healthcare Providers on the Existing Patient Referral System and Recommendations on the Development of the Electronic Referral System in Rwanda: A Mixed Method Study
Authors: Kalume Zamzam , Jansen Bart , Nyssen Marc , Cornelis Jan , Verbeke Frank 
Published: January 2023

Abstract
Background
Referral systems support the mobility of patients to ensure they receive adequate healthcare services from the appropriate provider. The major triggers for referrals are limited resources and skills at the lower level of care. An electronic referral system has the potential to considerably improve communication between primary care providers and specialists by submitting standardized and complete electronic referral requests which contain all relevant information needed for a smooth coordination, continuity of care, and facilitating urgent cases. The main objective of this study is to investigate the perception of healthcare providers regarding the existing paper-based referrals and their suggestions on the development of the electronic referral system in order to improve the health information exchange, the coordination and the continuity of care.
Methods
A mixed method approach was used to examine healthcare providers' perception of the referral system. For the quantitative analysis, a questionnaire was used to collect data from July to October 2021. A purposive sampling was used to select healthcare providers and a descriptive analysis was performed using SPSS 27. For the qualitative study design two focused group discussions were conducted, data were transcribed and analyzed using NVivo R 1.6.
Results
Overall, 345 referral constituents, including 202 mandatory and 143 optional ones were confirmed by the healthcare providers. The qualitative findings concerned two themes. The first one elucidated the challenges with the existing paper-based referral system pointing out delays in the referral process; incompleteness of paper-based referral sheet; referral triage; premature referral; absence or incomplete counter referral; patient privacy; and language problems. The second theme suggested features to be included in the electronic referral system, the procedures to follow during the transition phase, proposed mandatory and optional constituents, predicted challenges and expected benefits.
Conclusion
This study gathered perceptions of healthcare providers on the existing referral system, further elucidated their expectations on the electronic referral system and proposed features to be considered in its design. Finally, leads to a proposed design of an electronic external referral form.
From the oral cavity to the spine: prevalence of oral Cavity infections in patients with pyogenic spinal infection
Authors: Kilinc Fatma , Gessler Florian , Kessel Johanna , Bodelle Boris , Dubinski Daniel , Won Sae-Yeon , Tanneberger Anna , Ghanaati Shahram , Czabanka Marcus , Setzer Matthias , Freiman Thomas , Behmanesh Bedjan 
Published: January 2023

Abstract
Background The incidence of pyogenic spinal infection has increased in recent years. In addition to treating the spinal infection, optimal care also includes identifying the source of the pyogenic spinal infection and the presence of other infections. The aim of this study is to elucidate the prevalence of oral cavity infection (OCI) within this Patients cohort.
Methods As part of a prospective study conducted from 2016 to 2021, the number of patients with dental infections was investigated by means of an orthopantomogram (OPG) and subsequent dental examination.
Results The presence of an oral infection was investigated in 55 (47%) of 118 patients by an OPG, 29 (53%) of whom had a corresponding abnormality of the oral cavity. In addition to the spinal infection, patients with an oral cavity infection revealed an increased incidence of endocarditis, sepsis and brain abscess. A spinal epidural abscess, a multilevel affection of the infection and an elevated CRP value were also found in patients with a co-existing oral cavity infection. Back pain assessed at admission and 3 months after surgery was also more pronounced in patients with an oral cavity infection. Neurological deficits were often present in patients with spinal and oral cavity infection.
Conclusions The presence of an oral cavity infection proves to be one of the important factors in the detection of the source of the pyogenic spinal infection. In addition, a pronounced spinal affection and frequent co-infections were seen in patients with an oral cavity infection.
High Melt Performance Poly (lactic acid) with Dual Hybrid Long Branching Chains Prepared by Chain Degradation and Restructuring
Authors: Yang Le , Qin Yin , Li Yang , Xu Yinhan , Tao Yao , Luo Zhu , Zheng Qiang 
Published: January 2023

Abstract
Long chain branched structure (LCBs) is the critical to upgrade the poly (lactic acid) (PLA) melt performance, while introducing LCBs via chain restructuring by melt transesterification features higher-efficiency, environment-friendly and gel-free properties. However, severe degradation associated with excessive transesterification renders the branching reaction non-dominant, resulting in a significantly narrow processing window for LCBs formation. Herein, a new strategy, dual hybrid branching (DHB), was put forward to overcome the challenges. Specifically, surface-aminated nano-ZnO (SAN-ZnO) was applied as a transesterification accelerant to prepare LCB-PLA via melt transesterification between high molecular weight PLA and low molar mass monomer trimethylolpropane triacrylate (TMPTA) in an internal mixer. Moreover, amidogens on the surface of SAN-ZnO was capable to collect the degraded PLA chains (PLA-COOH) and in situ react with their carboxyl thermal groups via amidation. Benefiting from DHB to facilitate LCBs formation and restrain excessive degradation, the melt performance of PLA, especially the melt strength, was obviously improved to over 37 cN compared with pristine PLA (4 cN), and the cold crystallization occurred earlier owing to the DHB chain structure.
Long-term impact of gastropexy on use of acid-reducing medication, second operations for gastroesophageal reflux and subjective reflux symptoms after sleeve gastrectomy
Authors: Flølo Tone , Fosså Alexander , Nedkvitne Jonas , Waage Jo , Rekdal Magne , Dankel Simon , Fernø Johan , Mellgren Gunnar , Nedrebø Bjørn 
Published: January 2023

Abstract
Background/Objectives
Gastopexy (G) has been introduced as a surgical technique to reduce gastroesophageal reflux disease (GERD) in patients undergoing sleeve gastrectomy (SG). We aimed to determine whether adding G to SG improves use of acid reducing medication (ARM), second operations for GERD, epigastric pain or heartburn after surgery.
Subjects/Methods
Patients undergoing SG at two Norwegian hospitals were included consecutively from 2011 to 2015. Data was collected prospectively up to 7 years after surgery. GERD was defined by use of ARM on a regular basis and epigastric pain and heartburn by questions derived from the Rome II classification of functional gastrointestinal disorders. G was defined as suturing the gastrocolic ligament to the staple line. Patients undergoing SG only (NG group) were compared to those with additional G (G group) by mixed effect models.
Results
Of 376 included patients (75% females, mean age 42.6 years and BMI 42.9 kg/m2), 350 (93%) and 232 (62%) were available for evaluation after one and 7 years, respectively. Baseline patient characteristics in the NG (n=235) and G groups (n=141) were similar. In patients without ARM use before surgery, the use increased equally in the NG and G groups up to 7 years after SG. In patients that used ARM at baseline, the proportion decreased equally in the NG and G groups. With a combined endpoint of ARM use and/or second operation for GERD, there was no difference during follow-up between the NG and G groups. With time, the proportion of patients with epigastric pain did not differ between the groups, whereas heartburn was significantly more prominent in the G group.
Conclusion
In this population of patients undergoing SG, adding G was not associated with reduced use of ARM and/or second operation for uncontrolled GERD, epigastric pain, or heartburn during the first 7 postoperative years.
RelDenClu: A Relative Density based Biclustering Method for identifying non-linear feature relations
Authors: Jain Namita , Ghosh Susmita , Murthy C.A. , Ghosh Ashish 
Published: January 2023

Abstract
The existing biclustering algorithms for finding feature relation based biclusters often depend on assumptions like monotonicity or linearity. Though a few algorithms overcome this problem by using density-based methods, they tend to miss out on many biclusters because they use global criteria for identifying dense regions. The proposed method, RelDenClu, uses the local variations in marginal and joint densities for each pair of features to find the subset of observations, forming the bases of the relation between them. It then finds the set of features connected by a common set of observations, resulting in a bicluster.
To show the effectiveness of the proposed methodology, experimentation has been carried out on fourteen simulated datasets. For all the simulated datasets the performance of RelDenClu is compared with that of seven different state-of-the-art algorithms and it is seen to produce better results. Experiments were conducted with the credit card dataset, where binary features were added using RelDenClu. We find that features generated by RelDenClu resulted in improved classification for identifying defaulters. The efficacy of the proposed algorithm is also seen by its use on the COVID-19 dataset for identifying some demographic features that are likely to affect the spread of COVID-19.
Increased incidence of live births in implanted single-embryo transfer cycles of vitrified-warmed blastocysts expanded on day 5 versus day 6 following preimplantation genetic testing for aneuploidy
Authors: Chen Chien-Hong , Lee Chun-I Lee , Huang Chun-Chia , Chen Hsiu-Hui , Chang Chih-Ying , Cheng En-Hui , Lin Pin-Yao , Chen Chung-I , Lee Tsung-Hsien , Lee Maw-Sheng 
Published: January 2023

Abstract
Background: Following preimplantation genetic testing for aneuploidy (PGT-A) cycles, the postimplantation development of vitrified-warmed blastocysts expanded on day 5 (D5) versus (vs.) day 6 (D6) has remained unclear, indicating that the ploidy status may not be the only intrinsic factor influencing the development of implanted embryos.
Methods: Single-embryo transfers (SETs) of euploid or low-level mosaic blastocysts were performed between January 2018 and December 2020. Continuous TL monitoring was then conducted to evaluate the developmental features of individual embryos. After the data of successful SETs were analyzed, the LB rates were compared between the D5 (n = 200) and D6 (n =56) groups as primary outcomes. The correlations between the embryonic features and LB probability were then determined as secondary outcomes.
Results: According to the univariate (odds ratio [OR] = 0.445, 95% confidence interval [CI] = 0.216–0.916; P < 0.05) and multivariate (adjusted OR = 0.385, 95% confidence interval = 0.184–0.805, P < 0.05) logistic regression analyses, the LB probability was negatively associated with the D6 group. The LB rate of the D5group was higher than the D6 group (86% vs. 73.2%; P < 0.05). TL monitoring also revealed that, compared with the D5 implanted blastocysts, the D6 implanted blastocysts exhibited comparable dysmorphisms except the multinucleation at the 4-cell stage (12.5% vs. 3.5%, P < 0.05) and direct uneven cleavage (3.6% vs. 0%, P < 0.05). Moreover, D6 implanted blastocysts had considerably slower developmental kinetics and poorer blastocyst morphologies. Logistic regression analysis confirmed that the LB rate was not associated with developmental kinetics or dysmorphisms but rather with blastocyst morphology (inner cell mass [ICM] grade ≤ C vs. ICM grade A, adjusted OR = 0.212, 95% confidence interval = 0.058–0.77, P < 0.05; trophectoderm [TE] grade ≤ C vs. TE grade A, adjusted OR = 0.182, 95% confidence interval = 0.049–0.672, P < 0.05).
Conclusions: After successful implantation, D6 blastocysts have a considerably lower LB rate than D5 blastocysts. As determined by TL monitoring, the diminished blastocyst morphology is the primary reason underlying the decreased likelihood of LB.
Evaluation of lipid-lowering and immunomodulatory activities of extract oil of Tartary buckwheat fermented by Monascus purpureus in mice
Authors: Yang Xin , Zhu Anran , He Shengling , Zhu Yi , Qin Likang , Zeng Haiying 
Published: January 2023

Abstract
In this study, Tartary buckwheat was fermented by Monascus purpureus, and the fermented Tartary buckwheat oil (FTBO) was extracted under supercritical CO2 conditions. γ-Oryzanol, fatty acids, antioxidant capacities, and non-target metabolomics were investigated, and the lipid-lowering and immune effects of FTBO on high-fat mice were evaluated. The results showed that γ-oryzanol content reached 27.09 mg/g; oleic acid content increased by 12.56%; FTBO improved the antioxidant capacities of DPPH, ABTS, and Hydroxyl compared with raw Tartary buckwheat oil (TBO); and 207 metabolites were identified, including carboxylic acids and its derivatives and fatty acyls. FTBO gavage in high-fat mice had a dose effect. Three dose groups reduced TC, TG, and LDL-C levels in the liver and plasma and increased HDL-C level in the liver. Among them, the high-dose group exhibited the most significant effect on reducing inflammatory factors of ET, TNF-α, IL-1β, and IL-6 in the liver, which were 18.85, 570.12, 50.47, and 26.22 pg/mL, respectively (p ˂ 0.05). Liver damage in mice was also effectively ameliorated. Therefore, fermented Tartary buckwheat by M. purpureus is an effective method to enhance its biological activity. FTBO can be used as a functional product to lower blood lipids and modulate immune activity.