bluuebunny/crossref_metadata_2025_split huggingface dataset:
The MYCN/miR-20a-5p/NFKBIB/NF-κB signaling axis promotes the proliferation, invasion and migration of neuroblastoma
Authors: Li Wanfu , Maimaijiang Ayiguzaili , Wang Yaqi , Maimaitijiang Gulimiremu , Lu Hongting , Zheng Shutao , Liu Hui 
Published: June 2023

Abstract
Purpose
To investigate the effect of MYCN on the proliferation, invasion and migration of NB and its molecular mechanism.
Methods
We first compared the expression level of MYCN mRNA in NB cells by PCR. Next, the expression level of miR-20a-5p in NB cells was detected by PCR. Then, cell counting kit-8, wound healing and transwell assays were used to determine the ability of proliferation, migration and invasion of NB cells. Both cells were infected with miR-20a-5p lentivirus particles, and then the infection efficiency was detected by PCR. Repeat the above cell function test to determine the proliferation, migration, invasion and apoptosis of NB cells after overexpression or low expression of miR-20a-5p. Bioinformatics analysis was used to predict the binding sites of miR-20a-5p and NFKBIB. A double luciferase reporting assay was used to verify the targeting relationship between miR-20a-5p and NFIBIB. WB confirmed that miR-20a-5p could activate the NF- κB pathway.
Results
MYCN and miR-20a-5p can promote the proliferation, invasion and migration of NB cells, and inhibit NFKBIB by upregulating miR-20a-5p, thereby activating the NF- κB pathway.
Conclusion
In this study, we speculate that the MYCN/miR-20a-5p/NFKBIB/NF- κ B signaling axis can promote the proliferation, invasion and migration of NB cells.
The Association of Body Composition and Outcomes Following Autologous Hematopoietic Stem Cell Transplantation in Patients with Non-Hodgkin Lymphoma
Authors: Aleixo Gabriel , Wei Wei , Chen Po Hao , Gandhi Namita , Anwer Faiz , Dean Robert , Hamilton Betty K. , Hill Brian , Jagadeesh Deepa , Khouri Jack , Pohlman Brad , Sobecks Ronald , Winter Allison , Caimi Paolo , Majhail Navneet 
Published: June 2023

Abstract
Recently there has been a growing interest in evaluating body composition as a marker for prognosis in cancer patients. The association of body composition parameters and outcomes has not been deeply investigated in patients with autologous hematopoietic stem cell transplantation (HSCT) recipients with non-Hodgkin lymphoma (NHL). Methods We conducted a retrospective cohort study of 264 NHL patients who received autologous HSCT. Pre-HSCT abdominal CT scans at the levels of L3 were assessed for body composition measures. We evaluated sarcopenia, myosteatosis, high Visceral Adipose Tissue and high visceral adipose tissue density. Using multivariable Cox proportional regression, we analyzed the association of clinical and transplant-related characteristics with overall Survival (OS), relapse-free survival (RFS), and non-relapse mortality (NRM). Results In a multivariate regression model, patients with higher VATD had worse OS (HR 1.78; 95% confidence intervals CI 1.08–2.95, P = 0.02) and worse NRM (HR 2.31 95%CI 1.08–4.95 p = 0.02) than with lower VATD. Patients with lower levels of VAT also had worse RFS (HR 1.49 95% CI 1.03–2.15 p = 0.03). Sarcopenia and myosteatosis were not associated with outcomes. Conclusion High pre-transplant VATD was associated with lower OS and higher NRM, and low pre-transplant VAT was associated with worse RFS in patients with NHL undergoing autologous HSCT.
Comparison between musculoskeletal pain and gender-specific, non-gendered job-exposure matrix and self-reported exposures in CONSTANCES
Authors: Wuytack Francesca , Evanoff Bradley A , Dale Ann Marie , Gilbert Fabien , Fadel Marc , Leclerc Annette , Descatha Alexis 
Published: June 2023

Abstract
Purpose
Musculoskeletal disorders (MSDs) are common worldwide and gender differences exist in terms of prevalence and disability. MSDs are a leading cause of sick leave and physical work exposures.To assess the association between physical exposures assessed by the gender-specific CONSTANCES Job Exposure Matrix (JEM) and musculoskeletal pain in six areas: neck pain, shoulder pain, elbow/arm pain, hand/wrist pain, low back pain, knee/leg pain; and to compare the results with those obtained using the non-gendered CONSTANCES JEM and with individual self-report exposures.
Methods
We included 48,736 male and 63,326 female workers from the CONSTANCES cohort (France). The association between 27 physical exposures and musculoskeletal self-reported pain in six body areas was assessed using logistic regression. We conducted the analysis with three types of exposures: (1) individual self-reported exposures; (2) gender-specific CONSTANCES JEM; (3) non-gendered CONSTANCES JEM, and adjusted for age and Body Mass Index (BMI). Analyses were stratified by gender.
Results
The associations to the gender-specific and non-gendered JEM were similar. The odds ratios using individual self-reported exposures were comparable to the JEM-based associations, with the exceptions of the exposures ‘change tasks’, ‘rest eyes’ and ‘reach behind’. In some comparisons, there were differences in the direction and/or significance of effects between genders (regardless of whether the JEM used was gender-specific or not).
Conclusion
The gender-specific and non-gendered JEMs gave similar results, hence, developing physical work exposures JEMs that are gender-specific may not be essential. However, when predicting musculoskeletal pain, it seems relevant to stratify the analysis by gender.
Investigating the uptake and fate of per- and polyfluoroalkylated substances (PFAS) in bean plants (Phaseolus vulgaris) – Comparison between target MS and sum parameter analysis via HR-CS-GFMAS
Authors: Gehrenkemper Lennart , Rühl Isabel , Westphalen Tanja , Simon Fabian , Au Marcus von der , Cossmer Antje , Meermann Björn 
Published: June 2023

Abstract
In this study we present a screening method based on molecular absorption spectrometry to study PFAS uptake and fate in plants. To evaluate the suitability of this method we analyzed plant extracts with molecular absorption spectrometry (MAS) as well as liquid chromatography-tandem mass spectrometry (LC-MS/MS) for mass balance studies (w(F)). French bean plants (Phaseolus vulgaris) were grown on spiked soil using eight PFAS substances that vary in chain length and functional group composition. Specifically, these include three short-chained (C4-C5), five long-chained (C7-C10) as well as carbonic acids, one sulfonic acid and one sulfonic amid moieties. To investigate substance-specific PFAS uptake systematically, PFAS were spiked as single substance spike. Additionally, we studied one mixture of the investigated substances in equal proportions regarding w(F) and four PFAS mixtures of unknown composition. After 6 weeks plants were separated into four compartments. We analyzed the four compartments as well as soil for extractable organically bound fluorine (EOF) by HR-CS-GFMAS as well as for sum of ten target-PFAS by LC-MS/MS. All three short-chained PFAS perfluoro butanoic acid (PFBA), perfluoro butanoic sulfonic acid (PFBS) and perfluoro pentanoic acid (PFPeA) were determined in high concentrations mainly in the fruits of the investigated plants while long-chained PFAS perfluoro nonanoic acid (PFNA) and perfluoro decanoic acid (PFDA) were mainly determined in roots. PFBS was determined in remarkably high concentrations in leaves compartment by both quantification methods. Overall, comprehensive results of single substance spikes were in good agreement for both methods except for few cases. Hence, two phenomena were identified: For mixed PFAS spikes of unknown composition huge differences between EOF and sum of target PFAS were observed with systematically higher EOF values. Overall, both methods indicate comparable results with MS being more reliable for known PFAS contamination and MAS being more valuable to identify PFAS exposure of unknown composition.
Laguerre inequality and determinantal inequality for the broken k-diamond partition function
Authors: Yang Eve Y.Y. 
Published: June 2023

Abstract

In 2007, Andrews and Paule introduced the broken k-diamond partition function ∆ k (n), which has received a lot of researches on the arithmetic propertises. In this paper, we will prove the broken k-diamond partition function satisfies the Laguerre inequalities of order 2 and the deter-minantal inequalities of order 3 for k = 1 or 2. Moreover, we conjectured the thresholds for the Laguerre inequalities of order m and the positivity of m-order determinants for 4 ≤ m ≤ 14 for the broken k-diamond partition function when k = 1 or 2.
AMS Classification: 05A20, 11P82
Omics analysis revealed the antitumor effect of mitochondrial targeted drug combination
Authors: Li Chaoqun , Zhang Yanfei , Xia Qing , Hao Bingjie , Hong Yifan , Yue Liduo , Zheng Tiansheng , Li Ming , Fan Lihong 
Published: June 2023

Abstract
Purpose
The incidence and mortality of lung cancer have continued to rise in recent years. Mitochondrial energy metabolism malfunction is crucial for cancer cell death, proliferation and bioenergetic reprogramming. Improving the mitochondrial activity is a potent method to arrest tumor development and growth. In this study, we attempted to use mitochondrial targeting drugs to improve mitochondrial function and reverse the Warburg effect in the treatment of lung cancer
Methods
In this study, we created a mouse subcutaneous tumor model, treated it with multiple mitochondrial-targeted drug combinations, and analyzed the tumor tissues by transcriptomic, proteomic and metabolomic methods.
Results
Use of target drugs to improve the level of mitochondrial energy metabolism can effectively prevented cancer occurrence and progression, especially the 7-drug combination regimen, which producing healthy mitochondria from the three aspects of mitochondrial membrane, electron chain and interaction substrate. The NK cells in tumor tissue were increased effectively and the tumor markers in plasma were decreased. And we mapped the protein interaction network using omics data found the 7-drug combination therapy lung cancer by up-regulating mitochondrial oxidative phosphorylation-related genes, down-regulating proliferation- and validation-related genes and reversing tumor metabolic remodeling.
Conclusions
Mitochondrial targeted drug cocktail therapy can effectively inhibit the occurrence and development of tumors, which is due to the reprogramming of energy metabolism in tumor tissues and the increase of immune cells. Our study offers a novel approach for the clinical prevention and treatment of lung cancer, and provides evidence-based clues for the combined use of targeted mitochondrial drugs.
Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
Authors: Smaldone Anthony M. , Kyro Gregory W. , Batista Victor S. 
Published: June 2023

Abstract
As the rapidly evolving field of machine learning continues to produce incredibly useful tools and models, the potential for quantum computing to provide speed up for machine learning algorithms is becoming increasingly desirable. In particular, quantum circuits in place of classical convolutional filters for image detection-based tasks are being investigated for the ability to exploit quantum advantage. However, these attempts, referred to as quantum convolutional neural networks (QCNNs), lack the ability to efficiently process data with multiple channels and therefore are limited to relatively simple inputs. In this work, we present a variety of hardware-adaptable quantum circuit ansatzes for use as convolutional kernels, and demonstrate that the quantum neural networks we report outperform existing QCNNs on classification tasks involving multi-channel data. We envision that the ability of these implementations to effectively learn inter-channel information will allow quantum machine learning methods to operate with more complex data.
Influence of bioceramic cones on the quality of root canal filling relative to bond strength and adaptation of the adhesive interface
Authors: Quaresma Sérgio André Lopes , Santos Guilherme Nilson Alves dos , Silva-Sousa Alice Corrêa , Camargo Rafael Verardino , Lopes-Olhê Fabiane Carneiro , Silva-Sousa Yara Teresinha , Mazzi-Chaves Jardel Francisco , Sousa-Neto Manoel Damião 
Published: June 2023

Abstract
Aim
To evaluate the bond strength (BS) and analysis of the adhesive interface in root canals filled with bioceramic gutta percha sealers and cones.
Material and Methods
Ninety-six maxillary canines were divided into eight groups according to the endodontic sealer (AH Plus, AH Plus Bioceramic, Bio-C Sealer or Bio-C Sealer Ion + and gutta percha cones (conventional or bioceramic) tested. They were analyzed using the BS test, failure pattern, analysis of the adhesive interface by scanning electron microscopy and confocal laser scanning microscopy. The BS data were compared between groups using the analysis of variance test with the Turkey post-test. The chi-square test was used to assess the type of failure and the non-parametric Mann-Whitney and Kruse-Wallis tests (p < 0.05).
Results
Analysis of variance showed higher BS values for the groups of bioceramic gutta percha cones in Bio-C Sealer Ion+ (8.38 ± 4.27), AH Plus Bioceramic (6.19 ± 3.28), Bio-C Sealer (5.70 ± 3.18), AH Plus (4.61 ± 2.11) and for conventional gutta percha cones in AH Plus sealers (4.26 ± 2.35), Bio-C Sealer Ion+ (3.63 ± 2.29), Bio-C Sealer (2.94 ± 2.32) and AH Plus Bioceramic (1.19 ± 0.89) (p < 0.05). Relative to the type of failure and adaptation of the types of filling material, a higher percentage of mixed failures was observed (gaps between 1 µm-10 µm) for the group with bioceramic gutta percha cones (p < 0.001).
Conclusion
The bond between sealers and bioceramic gutta percha cones showed higher bond strength values and greater penetration into the dentin tubules.
Clinical Relevance:
The filling the root canal system with bioceramic sealers should be associated with bioceramic gutta percha cones.
Based on bioinformatics analysis of nonalcoholic fatty liver disease associated with metabolic biomarkers
Authors: Jiang Hua , Hu Yang , Zhang Zhibo , Chen Xujia , Gao Jianpeng 
Published: June 2023

Abstract
Background: Nonalcoholic fatty liver disease (NAFLD) is a metabolic syndrome of the liver. Metabolism-related genes significantly influence the onset and progression of the disease. Hence, it is necessary to screen metabolism-related biomarkers for diagnosing and treating patients with NAFLD.
Methods: First, the transcriptomic data of patients with NAFLD were screened to identify differentially expressed genes (DEGs). Next, Venn Diagram was used to identify metabolism-related DEGs (MR-DEGs). Further, a protein-protein interaction network was developed to show the interaction between MR-DEGs. Subsequently, the “Least absolute shrinkage and selection operator regression” and “Random Forest” algorithms were used to screen metabolism-related genes in patients with NAFLD. Next, immune cell infiltration and gene set enrichment analyses were performed on these metabolism-related genes. Finally, metabolism-related gene expression was determined at the transcription level.
Results: First, 129 DEGs related to NAFLD development were identified among patients with nonalcoholic steatohepatitis (NASH) and healthy control. Next, 18 MR-DEGs were identified using the Venn diagram. Subsequently, four genes, including AMDHD1, FMO1, LPL, and P4HA1,were identified using machine learning. Moreover, a regulatory network consisting of four genes, 25 miRNAs, and 41 transcription factors was constructed. Finally, a significant increase in FMO1 and LPLexpression levels and a decrease in AMDHD1 and P4HA1 expression levels were observed in patients in the NASH group compared to the healthy control group.
Conclusion: Metabolism-related genes associated with NAFLD, such as AMDHD1, FMO1, LPL, and P4HA1, were identified which provide insights into diagnosing and treating patients with NAFLD.
The Subjective Causal Impact of COVID-19 on Graduate Medical Education and Recommendations for Bridging the Educational Gap: A Global Cross-sectional Study
Authors: Goulas Sofoklis , Karamitros Georgios 
Published: June 2023

Abstract
Background: COVID-19 generated a system-wide shock causing an unbalanced equilibrium be- tween producing adequately trained physicians and meeting extraordinary operational needs. Pre- vious studies report the experience of surgical residents during COVID-19 on a regional level. This study measures the learning losses causally associated with the re-deployment of highly special- ized medical professionals to the care of COVID-19 patients, while we systematically investigate proposed remedial strategies.
Methods: We administered an online cross-sectional survey in 67 countries capturing training inputs (i.e., surgeries and seminars residents participated in) before and during the pandemic and retrieved residents’ expected learning outputs, career prospects and recommended remedial mea- sures for learning losses. We compared responses of residents working in (treatment group) and out (control group) of hospitals with COVID-19 patients.
Results: The analysis included 432 plastic surgery residents who were in training during the pandemic. Most of the learning losses were found in COVID-19 hospitals with 37% and 16% loss of surgeries and seminars, respectively, per week. Moreover, 74%, 44%, and 55% of residents ex- pected their surgical skill, scientific knowledge, and overall competence, respectively, to be lower than those of residents who graduated prior to COVID. Residents in COVID-19 hospitals reported participating in significantly (p < 0.001) fewer surgeries and having significantly (p < 0.001) lower surgical skill relative to those not in COVID-19 hospitals.
Conclusions: The perceived lower competence and the fall-off in surgical skill and scientific knowl- edge among future surgeons suggest that healthcare systems globally may have limited capacity to perform delicate and costly procedures in the future.
Impact of Online Teaching on State and Sleep Assessments after COVID-19
Authors: Khemthong Supalak , Chatthong Winai , Rueankam Maliwan 
Published: June 2023

Abstract

Online teaching might not assist Occupational Therapy Students (OTS) after Covid-19. This study identified strong predictors of sleep quality, sleep hygiene, and emotional states in two academic years of Thai OTS. A total of 42 samples were stratified and a longitudinal following-up was conducted. State and sleep variables were assessed using Thai version of the Pittsburgh Sleep quality Index (T-PSQI), Sleep Hygiene Index (SHI), and Depression Anxiety Stress Scales (DASS-21). Poor sleep hygiene and quality were not significantly changed for nine months, but anxiety, depression, and stress scores significantly increased. An overloaded online schedule of nine months can be a factor in poor scores on state and sleep assessments. Emotional states seemed to gain more than one predictor in longer period of online teaching included a high expectation while the OTS were facing with a transitional environment between academic classroom and clinical practice after the COVID-19 crisis. Therefore, online teaching may be combined with emotional support and case conference toward interprofessional collaboration. Overloaded online schedule can be a factor in poor state and sleep management in the OTS. Both academic and fieldwork educators should provide positive learning environments which enhance interpersonal communication with social relaxation.
HowNotToDoPatientEngagement: The Engaging with Purpose Patient Engagement Framework based on a Twitter Analysis of Community Perspectives on Patient Engagement
Authors: Dunstan Brianna , Buchanan Francine , Maybee Alies , Lofters Aisha , Sayani Ambreen 
Published: June 2023

Abstract
Background: Evaluation of patient engagement practices are frequently researcher-driven, researcher-funded and asymmetric in power dynamics. Little to almost no literature exists that documents patient experiences in patient engagement that are organic and non-institutional. Understanding these perspectives can help us understand what matters to patients when they are engaged in research, why it matters to them, and can offer insights on how to improve the patient engagement process so that the needs and priorities of patients are met.
Methods: Twitter is a microblogging platform that contains a vast amount of freely available, user generated, textual data containing personal reflections and opinions. We conducted a conventional and summative content analysis of textual data retrieved from a highly active conversation on Twitter around the hashtags #HowNotToDoPatientEngagement and #HowToDoPatientEngagement between February 2018 to June 2021.
Results: A total of 276 tweets were retrieved from 178 separate contributors across seven geographical locations. Four stakeholder groups were identified. We generated 24 codes, seven subthemes and five overarching themes: respect, support, collaboration, inclusivity and impact. Four of these themes are closely aligned with the Strategy for Patient Oriented (SPOR) Patient Engagement framework. We identify impact as a separate and new theme.
Interpretation: Based on our findings we offer the Engaging with Purpose Patient Engagement Framework that defines and describes respect, support, collaboration, inclusivity and impact as five key pillars of meaningful patient engagement.
Tumor Immune Microenvironment in Pituitary Neuroendocrine Tumors (PitNETs): Increased M2 Macrophage Infiltration and PD-L1 Expression in PIT1-lineage Subset
Authors: Luo Mei , Tang Rui , Wang Haijun 
Published: June 2023

Abstract
Purpose
Tumor immune microenvironment in PitNETs and application of current immunotherapy for refractory PitNETs remains debated. We aim to evaluate the immune landscape in different lineages of PitNETs and determine the potential role of pituitary transcription factors in reshaping the TIME, thus promoting the application of current immunotherapy for aggressive and metastatic PitNETs.
Methods
Immunocyte infiltration and expression patterns of immune checkpoint molecules in different lineages of PitNETs were estimated via in silico analysis and validated using an IHC validation cohort. The correlation between varying immune components with clinicopathological features was assessed in PIT1-lineage PitNETs.
Results
Transcriptome profiles from 210 PitNETs/ 8 normal pituitaries (NPs) and immunohistochemical validations of 77 PitNETs/ 6 NPs revealed a significant increase in M2-macrophage infiltration in PIT1-lineage PitNETs, compared with the TPIT-lineage, SF1-lineage subsets and NPs. While CD68 + macrophage, CD4 + T cells, and CD8 + T cells were not different among them. Increased M2-macrophage infiltration was associated with tumor volume (p < 0.0001, r = 0.57) in PIT1-lineage PitNETs. Meanwhile, differentially expressed immune checkpoint molecules (PD-L1, PD1, and CTLA4) were screened and validated in IHC cohorts. The results showed that PD-L1 was highly expressed in PIT1-lineage subsets, and PD-L1 overexpression showed a positive correlation with tumor volume (p = 0.04, r = 0.29) and cavernous sinus invasion (p < 0.0001) in PIT1-lineage PitNETs.
Conclusion
PIT1-lineage PitNETs exhibit a distinct immune profile with enrichment of M2 macrophage infiltration and PD-L1 expression, which contribute to its clinical aggressiveness. Application of current immune checkpoint inhibitors and M2-targeted immunotherapy might be more beneficial to treat aggressive and metastatic PIT-lineage PitNETs.