bluuebunny/crossref_metadata_2025_split huggingface dataset:
Primary tumor location is a risk factor for postoperative development of sarcopenia related to poor outcomes in patients with colorectal cancer
Authors: abe shinya , Nozawa Hiroaki , Sasaki Kazuhito , Murono Koji , Emoto Shigenobu , Yokoyama Yuichiro , Matsuzaki Hiroyuki , Nagai Yuzo , Shinagawa Takahide , Sonoda Hirofumi , Ishihara Soichiro 
Published: June 2023

Abstract
Background
The present study aimed to investigate the loss of skeletal muscle mass after surgery and how it affects long-term outcomes.
Methods
This retrospective analysis included clinical stage I- IV colorectal cancer patients who underwent curative resection between April 2012 and March 2014 at the University of Tokyo Hospital. We excluded patients with recurrence within 12 months of colorectal resection. The psoas muscle area at the third lumbar vertebra level was evaluated by computed tomography and was divided by the square of height to obtain the psoas muscle mass index (PMI). Sarcopenia was defined using the generally accepted PMI cut-off values for Asian adults of 6.36 cm2/m2 for males and 3.92 cm2/m2 for females.
Results
Among 511 enrolled patients, 359 were analyzed and 169 had preoperative sarcopenia. One year after colorectal resection, 24 patients (12.6%) had newly diagnosed sarcopenia, while 46 (27.2%) had recovered from sarcopenia. Rectal cancer was identified as an independent risk factor for the postoperative development of sarcopenia (OR 5.05; 95%CI 0.08–0.48; p = 0.0003). The median follow-up period was 7.0 years, and 5-year OS and DFS rates were 94.3 and 80.4%, respectively. Postoperative sarcopenia was an independent risk factor for shorter DFS in a multivariate analysis (HR 1.62; 95%CI 1.06–2.49; p = 0.0267).
Conclusion
Postoperative sarcopenia one year after surgery was associated with poor DFS, and, thus, the prevention of skeletal muscle loss needs to be considered during postoperative surveillance, particularly in rectal cancer patients without sarcopenia before surgery.
Waste Cooking Oil Classification through Raman Spectroscopy and Multivariate Analysis
Authors: Mannu Alberto , Karabagias Ioannis Konstantinos , Petretto Giacomo Luigi , Garroni Sebastiano , Poddighe Matteo , Malfatti Luca 
Published: June 2023

Abstract
Five benches of used vegetable oils were prepared by deep frying of commercial edible vegetable oil. Raman analyses of original and waste samples revealed few and small differences between samples. Nevertheless, statistical multivariate analysis, in particular unsupervised principal component analysis (PCA) followed by supervised partial least square discriminant analysis (PLS-DA), conducted on the raw Raman fid allowed to determine a chemical fingerprint charac-teristic of each sample. The technique in principle can be used for quality assessment of waste vegetable oils, and for detection of waste’s adulteration with edible oils.
Yeast lipid droplet dynamics are coupled to sphingolipid biosynthesis via Tsc3p
Authors: Hertel Manuel , Mastrototaro Lucia , Martínez-Montañés Fernando , Ejsing Christer S. , Beller Mathias , Markgraf Daniel F. , Roden Michael 
Published: June 2023

Abstract

Regulation of lipid metabolism is pivotal for living cells to maintain the balance between energy production and membrane component assembly. Fatty acids can be stored as triacylglycerols in lipid droplets (LD) or accumulate in various subcellular compartments as diacylglycerols or sphingolipids, which may exert deleterious effects and associate with metabolic diseases. At present, the mechanisms maintaining the balance of neutral lipid synthesis and consumption remain largely unknown. Thus, this study aimed to identify regulators of LD dynamics in yeast. Based on flow cytometry we assess LD consumption in candidates involved in first steps of sphingolipid synthesis. We found that the Tsc3p deletion strain (tsc3Δ) displayed a decrease in LD consumption, which was reversed by adding phytosphingosine. Assessment of lipidomic profiles revealed decreased ceramide level intsc3Δcells. In addition, we determined the subcellular localization of Tsc3p and analogous human small subunits of the serine palmitoyltransferase to the endoplasmic reticulum and that ssSPTb rescues the LD consumption defect intsc3Δcells. In conclusion, our data show thattsc3Δimpairs LD breakdown accompanied by low cellular sphingolipid level which lead to suggestion that Tsc3p is required for efficient sphingolipid biosynthesis for maintaining cellular lipid homeostasis.
Usefulness of genotyping APC gene for individualizing management of patients with familial adenomatous polyposis
Authors: Mori Yoshiko , Ishida Hideyuki , Chika Noriyasu , Ito Tetsuya , Amano Kunihiko , Chikatani Kenichi , Takeuchi Yoji , Kono Mitsuhiro , Shichijo Satoki , Chino Akiko , Nagasaki Toshiya , Takao Akinari , Takao Misato , Nakamori Sakiko , Sasaki Kazuhito , Akagi Kiwamu , Yamaguchi Tatsuro , Tanakaya Kohji , Naohiro Tomita , Ajioka Yoichi 
Published: June 2023

Abstract
Background
Colorectal polyp burden is crucial for the management of patients with familial adenomatous polyposis (FAP). However, accurate evaluation of polyp burden is difficult to standardize. This study aimed to examine the possible utility of genotype-oriented management of colorectal neoplasms in patients with FAP.
Methods
Clinicopathological data from genetically proven patients with FAP was analyzed using the database of a nationwide retrospective Japanese multicenter study. The cumulative incidence of CRC was evaluated between different genotype groups. Genotype-1 were defined as germline variants on attenuated FAP associated regions (codons 1-177, alternative splice site of exon 10 (codon 312), 1581–2843) and Genotype-2 as the other variants. Weibull and Joinpoint analyses were performed to determine the annual percentage changes in CRC risk.
Results
Overall, 69 men and 102 women were included. Forty-eight patients underwent colorectal resection for the first CRC, and five patients underwent resection for first cancer in the remnant anorectal segment after prophylactic surgery. The 70-year cumulative incidence of CRC in all patients was 59.3%. Patients with Genotype-1 (n = 23) demonstrated a lower risk of CRC stage II-IV than those with Genotype-2 (n = 148, P = 0.04). The risk of stage II-IV CRC was estimated to increase markedly at the age of 49 years in the Genotype-1 patients and 34 years in the Genotype-2 patients, respectively.
Conclusions
Different interventional strategies based on genotypes may be proposed for the clinical management of patients with FAP. This policy needs to be validated in further prospective studies focusing on long-term endoscopic intervention and optimal age at prophylactic (procto)colectomy.
Role of nestin/14-3-3/mTOR signaling in airway smooth muscle cell proliferation and airway remodeling
Authors: Tang Dale , Liao Guoning , Wu Yidi , Wang Ruping , Maheshwari Neelam , Penn Raymond 
Published: June 2023

Abstract
Airway smooth muscle (ASM) cell proliferation plays a critical role in the progression of asthma. Asthma is characterized by airway remodeling, a cardinal feature of which is aberrant ASM cell proliferation. ASM hyperplasia leads to thickening of the airway wall, which exacerbates airway hyperresponsiveness and narrowing during asthma attacks. Although Th2 cytokines are prominent drivers of asthma pathogenesis, they do not drive ASM hyperplasia in asthma. Here, we discover that nestin, a type VI intermediate filament protein, regulates human ASM cell proliferation via 14-3-3/mechanistic target of rapamycin (mTOR) signaling. More importantly, nestin is upregulated in asthmatic human ASM, an epigenetic effect dependent on ten-eleven translocation methylcytosine dioxygenase 1-mediated 5-hydroxymethylcytosine. Smooth muscle conditional nestin knockout reduces airway smooth muscle thickening, airway hyperresponsiveness, inflammation, and mucus hypersecretion in an allergen-induced murine model of asthma. Moreover, comprehensive in vivo studies demonstrate nestin drives ASM hyperplasia and airway remodeling via 14-3-3/mTOR signaling.
Study on PTFE Superhydrophobic Coating Modified by IC@dMSNs and its Enhanced Antibacterial Effect
Authors: Zhang Weixing , Du Juan , Zhu Tonghe , Wang Ruilan , Aslam Mehwish , Kanwal Fariha , Rehman Muhammad Fayyaz ur 
Published: June 2023

Abstract

Objective:
Vascular catheter-related infections and thrombosis are common and may lead to serious complications after catheterization. Reducing the incidence of such infections has become a significant challenge. This study aims to develop a super hydrophobic nanocomposite drug-loaded vascular catheter that can effectively resist bacterial infections and blood coagulation.
Methods:
In this study, a SiO2 nanocoated PTFE (Polytetrafluoroethylene) catheter (PTFE-SiO2) was prepared and further optimized to prepare a SiO2 nanocoated PTFE catheter loaded with imipenem/cilastatin sodium (PTFE-IC@dMSNs). The catheters were characterized for performance, cell compatibility, anticoagulant performance, in vitro and in vivo antibacterial effect and biological safety.
Result:
PTFE-IC@dMSNs catheter has efficient drug loading performance and drug release rate and has good cell compatibility and anticoagulant effect in vitro. Compared with the PTFE-SiO2 catheter, the inhibition ring of the PTFE-IC@dMSNs catheter against Escherichia coli increased from 3.985 mm2 to 4.561 mm2, and the antibacterial rate increased from about 50.8% to 56.9%, with significant difference (p<0.05). The antibacterial zone against Staphylococcus aureus increased from 8.633 mm2 to 11.735 mm2, and the antibacterial rate increased from approximately 83.5% to 89.3%, showing a significant difference (p<0.05). PTFE-IC@dMSNs catheter also has good biocompatibility in vivo.
Conclusion:
Compared with PTFE, PTFE-SiO2 and PTFE-IC@dMSNs catheters have good characterization performance, cell compatibility, and anticoagulant properties. PTFE SiO2 and PTFE-IC@dMSNs catheters have good antibacterial performance and tissue safety against E. coli and S. aureus. Relatively, PTFE-SiO2 and PTFE-IC@dMSNs catheter has better antibacterial properties and histocompatibility and has potential application prospects in anti-bacterial catheter development and anticoagulation.
Assessment of in vitro anti-skin ageing activities of Giant Indian Gooseberry (Phyllanthus indofischeri Bennet) extracts for dermatological health and aesthetic applications
Authors: Boonpisuttinant Korawinwich , Ruksiriwanich Warintorn , Chutoprapat Romchat , Udompong Sarinporn , Kansawang Rattiya , Sangsee Jinapa , Chompoo Wirinda , Samothai Kitrawi , Srisut Ratakorn 
Published: June 2023

Abstract
Giant Indian Gooseberry (GIG) are commercially cultivated and commonly used herbs in Traditional medicine especially in Thailand. The aim of this study was to assess the potential of the GIG extracts on anti-aging activities to be a dermatological application. The juice, meat residues, and seeds of GIG collected from Sra Kaeo Province, Thailand, were extracted by the Boiling method (B) and the Maceration process (M) by using 95% ethanol as a solvent. The GIG extracts gave the total phenolic (TPC) and total flavonoid contents (TFC), quercetin contents, as well as exhibited the anti-oxidative activities. The GIG-R-B extract inhibited tyrosinase activity and had the highest anti-melanogenesis activity on B16F10 cells of 31.63 ± 0.70%. The GIG-S-B, GIG-S-M, and GIG-R-M extracts demonstrated the highest collagen biosynthesis, which was comparable to vitamin C (p < 0.05), whereas the GIG-R-B extracts gave the highest stimulation of anti-ageing genes (SIRT1 and FOXO1). All extracts at the concentration of 0.1 mg/mL showed no cytotoxicity on human skin fibroblasts. Therefore, the GIG-S-B extract was discovered to be a promising natural anti-ageing agent for dermatological health and aesthetic applications, that can be further developed in cosmetic, functional food and food supplement industries.
Integrability, lump solutions, breather solutions and hybird solutions for the (2+1)-dimensional variable coefficient Korteweg-de Vries equation
Authors: Chu Jingyi , Chen Xin , Liu Yaqing 
Published: June 2023

Abstract
This paper focuses on the integrability and exact solutions of a (2+1)-dimensional variable coefficient Korteweg-de Vries equation. The bilinear form, Bäcklund transformations, and Lax pair of this equation are obtained using the Bell polynomial method. Soliton solutions, including lump solitons, breather solitons, and hybrid solutions, are constructed by assuming different auxiliary functions in the bilinear ansatz method. Additionally, the soliton solutions are presented as figures for different variable coefficient functions and undetermined items under appropriate parameter choices. The Bäcklund transformations also lead to Lax pair and the infinity conservation laws that ensure the integrability of the nonlinear system under study.
Data-Driven Decision Support for Post-Hospitalization Diabetes Case Management Referral: A Predictive Analysis
Authors: Lee Seung-Yup , Hayes Leslie , Ozaydin Bunyamin , Howard Steven , Garretson Alison , Bradley Heather , Land Andrew , Pritchett Amy , Furr Amanda , Allgood Ashleigh , Wyatt Matthew , Hall Allyson , Banaszak-Holl Jane , DeLaney Erin 
Published: June 2023

Abstract
Background
While diabetes cases become more complex with increasing age and comorbidity, social determinants of health (SDoH), including food security, medication availability, and transportation, act as a significant source of disparities in diabetes risk and outcomes. However, with the existing supply-demand mismatch in diabetes case management, current case management referrals are primarily based on the most apparent clinical information. Data-driven decision support that learns from large-scale electronic health records (EHRs) encompassing the SDoH is a promising approach to helping prioritize demand and alleviate disparities through the identification of patients at highest risk.
Methods
This protocol is for a predictive analysis study to develop a proactive risk assessment decision support (PRADS) model incorporating the SDoH data to stratify urgency of needed case management among diabetic patients by identifying patients that are likely to utilize extensive resources including hospitalizations and emergency department (ED) visits. We will collect EHR data spanning from January 2018 to February 2023 from a Level 1 Trauma Center in Southeast (where diabetes and disparities have been prevalent), including demographics, SDoH, comorbidities, laboratory test results, access to care, medications, and the outcome variables (i.e., readmissions and ED visits). The dataset includes 65,821 unique inpatients that account for 132,273 inpatient encounters. 70% of the data observations will be utilized to train a Survival Decision Tree model, and the rest to generate prediction outcomes (probability of readmission or ED visit). The model will be validated in a quantitative manner by evaluating performance evaluation metrics and in a qualitative manner by conducting a three-phase modified Delphi method that involves the case management, clinician, and quality and patient safety teams.
Discussion
Despite the multifaceted disparities among diabetic patients, e.g., comorbidities and social support, the current case management referral process does not involve a comprehensive assessment of patient information. Data-driven decision support that learns from a wide range of SDoH and clinical information can help better identify high-risk patients for effective utilization of the current workforce. The PRADS model may demonstrate the value of SDoH in estimating diabetes risk factors, potential for system implementation, and improvement in utilizing the case management workforce.
Pharmacological fingerprint of antipsychotic drugs at the serotonin 5-HT2A receptor
Authors: Gaitonde Supriya A. , Shahraki Aida , Pastor Adrian Morales , Talagayev Valerij , Robledo Patricia , Kolb Peter , Selent Jana , Bouvier Michel 
Published: June 2023

Abstract
The intricate involvement of the serotonin 5-HT2A receptor (5-HT2AR) both in schizophrenia and in the activity of antipsychotic drugs is widely acknowledged. The currently marketed antipsychotic drugs, although effective in managing the symptoms of schizophrenia to a certain extent, are not without their repertoire of serious side effects. There is a need for better therapeutics to treat schizophrenia for which understanding the mechanism of action of the current antipsychotic drugs is imperative. With bioluminescence resonance energy transfer (BRET) assays, we trace the signaling signature of six antipsychotic drugs belonging to three generations at the 5-HT2AR for the entire spectrum of signaling pathways activated by serotonin (5-HT). The antipsychotic drugs display previously unidentified pathway preference at the level of the individual Gα subunits and β-arrestins. In particular, risperidone, clozapine, olanzapine and haloperidol showed G protein-selective inverse agonist activity. In addition, G protein-selective partial agonism was found for aripiprazole and cariprazine. Pathway-specific apparent dissociation constants determined from functional analyses revealed distinct coupling-modulating capacities of the tested antipsychotics at the different 5-HT-activated pathways. Computational analyses of the pharmacological and structural fingerprints supports a mechanistically based clustering that recapitulate the clinical classification (typical/first generation, atypical/second generation, third generation) of the antipsychotic drugs. The study provides a new framework to functionally classify antipsychotics that should represent a useful tool for the identification of better and safer neuropsychiatric drugs and allows formulating hypotheses on the links between specific signaling cascades and in the clinical outcomes of the existing drugs.
Evaluation of anti-biofilm properties of Mentha piperita essential oils loaded in chitosan nanoparticles against Acinetobacter baumannii in the Catheter surface
Authors: Shakib Pegah , Ashrafi Behnam , Rezaei Faranak , Delfani Somayeh 
Published: June 2023

Abstract

Background Multidrug-resistant (MDR) Gram-negative bacteria such as Acinetobacter baumannii pose an increasingly severe threat. Finding new therapeutic strategies such as herbal remedies is a vital priority, especially in combination with nano gels which have recently been widely used in medical purposes and drug delivery systems.Objective In this study, evaluated the physicochemical properties and effects of mutagenicity synthesizing Mentha Piperita Essential Oils loaded in chitosan nanoparticles (MPEO- CsNPs), which is referred to as an antimicrobial agent for inhibiting biofilm formation of Acinetobacter baumannii on the catheter surface.Method Mentha piperita essential oils loaded in chitosan nanoparticles (MPEO- CsNPs) and the physicochemical properties of MPEO-CsNPs were analyzed by Scanning Electron Microscopy (SEM) and Differential Calorimetry Scanning (DCS). The Minimum Inhibitory Concentration (MIC), the Minimum Bactericidal Concentration (MBC), and the Inhibitory Concentration (MBIC50) of MPEO- CsNPs against the standard strain of Acinetobacter baumannii were investigated. The amount of biofilm formation in the presence and absence of MPEO- CsNPs on the catheter surface was analyzed. The bap gene expression was studied as the primary leading indicator of biofilm formation using the real-time PCR technique. The effects of mutagenicity according to the Ames test were investigated.Results The results showed that the synthesized MPEO- CsNPs at equivalent concentrations had lower MIC than sodium azide. MIC and MBC levels were reported to be 3.12 and 12.48 µg / ml, respectively. MBIC50 was calculated to be 2.69%, which it was approximately twofold compared to the control that was treated with no MPEO concentration. The adherence of bacterial cells to the catheter surface had high sensitivity to the MPEO- CsNPs, while when treated with unloaded CNPs, it had no inhibitory effect on adherence activity. It was observed that with increasing the concentration of the MPEO- CsNPs, expression of the bap gene decreased.Conclusion This study showed that chitosan-peppermint nanoparticles could be used as a safe, compatible, and preventive coating in the design and manufacture of hospital catheters and other medical devices.
Targeted metabolomic profiling as a tool for diagnostics of patients with non- small-cell lung cancer
Authors: Shestakova Ksenia M. , Moskaleva Natalia E. , Boldin Andrey A. , Rezvanov Pavel M. , Shestopalov Alexandr V. , Rumyantsev Sergey A. , Zlatnik Elena Yu. , Novikova Inna A. , Sagakyants Alexander B. , Timofeeva Sofya V. , Simonov Yuriy , Baskhanova Sabina N. , Tobolkina Elena , Rudaz Serge , Appolonova Svetlana A. 
Published: June 2023

Abstract
Lung cancer is referred to as the second most common cancer worldwide and is mainly associated with poor diagnostics and the absence of personalized therapy. Metabolomics may provide significant insights into the improvement of lung cancer diagnostics and treatment through identification of the specific biomarkers or biomarker panels that characterize the pathological state of the patient. We performed targeted metabolomic profiling of plasma samples from individuals with non-small cell lung cancer (NSLC, n = 100) and individuals without any cancer or chronic pathologies (n = 100) to identify the relationship between plasma endogenous metabolites and NSLC by means of modern comprehensive bioinformatics tools, including univariate analysis, multivariate analysis, partial correlation network analysis and machine learning. Through the comparison of metabolomic profiles of patients with NSCLC and noncancer individuals, we identified significant alterations in the concentration levels of metabolites mainly related to tryptophan metabolism, the TCA cycle, the urea cycle and lipid metabolism. Additionally, partial correlation network analysis revealed significantly changed new ratios of the analyzed metabolites. Using the identified significantly altered metabolites and their ratios, we developed a machine learning classification model with an ROC AUC value equal to 0.96. The developed machine learning lung cancer model may serve as a prototype of the approach for the in-time diagnostics of lung cancer that in the future may be introduced in routine clinical use. Overall, we have demonstrated that the combination of metabolomics and up-to-date bioinformatics can be used as a potential tool for proper diagnostics of patients with NSCLC.