bluuebunny/crossref_metadata_2025_split huggingface dataset:
Treatment and outcomes of patients with light chain amyloidosis who received a second line of therapy post autologous stem cell transplantation
Authors: Al Saleh Abdullah S. , Ebraheem Mohammad S. , Sidiqi M. Hasib , Dispenzieri Angela , Muchtar Eli , Buadi Francis K. , Warsame Rahma , Lacy Martha Q. , Dingli David , Gonsalves Wilson I. , Kourelis Taxiarchis V. , Hogan William J. , Hayman Suzanne R. , Kapoor Prashant , Kumar Shaji K. , Gertz Morie A. 
Published: April 2022

AbstractWe retrospectively reviewed 292 patients who received a second line of therapy post ASCT for their light chain amyloidosis. Most patients (40%) were treated with an alkylator + PI ± dex or PI ± dex followed by an alkylator + 2nd-gen IMiD ± dex or 2nd-gen IMiD ± dex (26%), an alkylator ± steroid or steroid monotherapy (19%), a 2nd-gen IMiD + PI ± dex (6%), an alkylator + thalidomide ± dex (5%), or daratumumab-based therapy (4%). The rate of CR or VGPR was 70% among the daratumumab-based group, 62% in the alkylator + PI ± dex or PI ± dex group, 55% in the alkylator + 2nd-gen IMiD ± dex or 2nd-gen IMiD ± dex group, 47% in the 2nd-gen IMiD + PI ± dex group, 24% in the alkylator ± steroid or steroid monotherapy group, and 18% in the alkylator + thalidomide ± dex group. The median OS was NR for the 2nd-gen IMiD + PI ± dex group and the daratumumab group, 130.4 months in the alkylator + 2nd-gen IMiD ± dex or 2nd-gen IMiD ± dex group, 100 months for the alkylator + PI ± dex or PI ± dex group, 36 months for the alkylator ± steroid or steroid monotherapy group, and 21 months for the alkylator + thalidomide ± dex group (P < 0.0001). The median OS was 100 months in patients who received melphalan 200 mg/m2 compared to 41 months in the 140 mg/m2 group (P < 0.0001). In conclusion, patients receiving novel therapy post ASCT and melphalan conditioning dosing at 200 mg/m2 at diagnosis had better outcomes.
Specific inflammatory osteoclast precursors induced during chronic inflammation give rise to highly active osteoclasts associated with inflammatory bone loss
Authors: Meirow Yaron , Jovanovic Milena , Zur Yuval , Habib Juliana , Colombo Daniele Filippo , Twaik Nira , Ashkenazi-Preiser Hadas , Ben-Meir Kerem , Mikula Ivan , Reuven Or , Kariv Guy , Daniel Leonor , Baraghithy Saja , Klein Yehuda , Krijgsveld Jeroen , Levaot Noam , Baniyash Michal 
Published: April 2022

AbstractElevated osteoclast (OC) activity is a major contributor to inflammatory bone loss (IBL) during chronic inflammatory diseases. However, the specific OC precursors (OCPs) responding to inflammatory cues and the underlying mechanisms leading to IBL are poorly understood. We identified two distinct OCP subsets: Ly6ChiCD11bhiinflammatory OCPs (iOCPs) induced during chronic inflammation, and homeostatic Ly6ChiCD11bloOCPs (hOCPs) which remained unchanged. Functional and proteomic characterization revealed that while iOCPs were rare and displayed low osteoclastogenic potential under normal conditions, they expanded during chronic inflammation and generated OCs with enhanced activity. In contrast, hOCPs were abundant and manifested high osteoclastogenic potential under normal conditions but generated OCs with low activity and were unresponsive to the inflammatory environment. Osteoclasts derived from iOCPs expressed higher levels of resorptive and metabolic proteins than those generated from hOCPs, highlighting that different osteoclast populations are formed by distinct precursors. We further identified the TNF-α and S100A8/A9 proteins as key regulators that control the iOCP response during chronic inflammation. Furthermore, we demonstrated that the response of iOCPs but not that of hOCPs was abrogated intnf-α−/−mice, in correlation with attenuated IBL. Our findings suggest a central role for iOCPs in IBL induction. iOCPs can serve as potential biomarkers for IBL detection and possibly as new therapeutic targets to combat IBL in a wide range of inflammatory conditions.
METTL3 stabilizes HDAC5 mRNA in an m6A-dependent manner to facilitate malignant proliferation of osteosarcoma cells
Authors: Jiang Renbing , Dai Zhibing , Wu Junshen , Ji Suzhi , Sun Yachao , Yang Wenpeng 
Published: April 2022

AbstractOsteosarcoma (OS) is a prevalent primary bone sarcoma. Methyltransferase-like 3 (METTL3) is dysregulated in human malignancies. This study explored the mechanism of METTL3 in OS cell proliferation. Our results demonstrated that METTL3 was highly expressed in OS, and correlated with the tumor size, clinical stage, and distant metastasis of OS patients. Higher METTL3 expression indicated poorer prognosis. METTL3 silencing inhibited the malignant proliferation of OS cells, while METTL3 overexpression led to an opposite trend. METTL3 upregulated histone deacetylase 5 (HDAC5) expression in OS cells by increasing the m6A level. HDAC5 reduced the enrichment of H3K9/K14ac on miR-142 promoter, thus suppressing miR-142-5p expression and upregulating armadillo-repeat-containing 8 (ARMC8) level. HDAC5 overexpression or miR-142-5p silencing attenuated the inhibitory effect of METTL3 silencing on OS cell proliferation. Xenograft tumor experiment in nude mice confirmed that METTL3 silencing repressed OS cell proliferation in vivo via the HDAC5/miR-142-5p/ARMC8 axis. Collectively, METTL3-mediated m6A modification facilitated OS cell proliferation via the HDAC5/miR-142-5p/ARMC8 axis.
Pyroptosis executor gasdermin D plays a key role in scleroderma and bleomycin-induced skin fibrosis
Authors: Yang Huan , Shi Yanqiang , Liu Huiting , Lin Feiyan , Qiu Biying , Feng Qinglan , Wang Yu , Yang Bin 
Published: April 2022

AbstractThe NLRP3 inflammasome and IL-1β are essential for scleroderma pathogenesis. Nevertheless, the role of pyroptosis executor gasdermin D(GSDMD), which is a downstream molecule of NLRP3 and is required for IL-1β release in some situations, has not yet been well elucidated in scleroderma. Here, we found that GSDMD was significantly up-regulated and activated in the skin of scleroderma patients and bleomycin-induced mouse model. What’s more, the ablation of GSDMD ameliorates bleomycin-induced skin fibrosis according to HE staining, Masson staining and the detection of hydroxyproline contents. GSDMD deficiency also impaired macrophages infiltration and reduced inflammation response. Furthermore, the loss of GSDMD reduced Th17 differentiation in vivo and in vitro. Collectively, these findings provide the first demonstration that GSDMD related pyroptosis plays an important role in scleroderma pathogenesis.
Sampling lattices in semi-grand canonical ensemble with autoregressive machine learning
Authors: Damewood James , Schwalbe-Koda Daniel , Gómez-Bombarelli Rafael 
Published: April 2022

AbstractCalculating thermodynamic potentials and observables efficiently and accurately is key for the application of statistical mechanics simulations to materials science. However, naive Monte Carlo approaches, on which such calculations are often dependent, struggle to scale to complex materials in many state-of-the-art disciplines such as the design of high entropy alloys or multi-component catalysts. To address this issue, we adapt sampling tools built upon machine learning-based generative modeling to the materials space by transforming them into the semi-grand canonical ensemble. Furthermore, we show that the resulting models are transferable across wide ranges of thermodynamic conditions and can be implemented with any internal energy model U, allowing integration into many existing materials workflows. We demonstrate the applicability of this approach to the simulation of benchmark systems (AgPd, CuAu) that exhibit diverse thermodynamic behavior in their phase diagrams. Finally, we discuss remaining challenges in model development and promising research directions for future improvements.
Gordonia species as a rare pathogen isolated from milk of dairy cows with mastitis
Authors: Bzdil Jaroslav , Slosarkova Sona , Fleischer Petr , Matiasovic Jan 
Published: April 2022

AbstractWhile Gordonia species have long been known to cause severe inflammation in humans, the pathogenic effects of Gordonia species in veterinary medicine have rarely been described. Between 2010 and 2019, we collected microorganisms of the genus Gordonia isolated from milk samples from dairy cows with mastitis. We describe the growth properties of these microorganisms and their prevalence, virulence factors and susceptibility to antimicrobial agents. From 31,534 quarter milk samples processed by standard culture methods, 27 isolates of Gordonia species (0.086% prevalence) were identified by a molecular phenotyping method. The isolates originated from 17 farms in 12 districts of the Czech Republic. Twenty-one isolates were tested for susceptibility to 7 antimicrobials by the disc diffusion method. Notably, 100% of these isolates were susceptible to streptomycin and neomycin, 85.7% to cefovecin and tetracycline, 76.2% to penicillin G, 47.6% to trimethoprim/sulfamethoxazole and 0% to clindamycin. The species was determined to be Gordonia paraffinivorans by whole genome sequencing for 9 isolates (from 8 farms in 7 districts). These isolates showed the highest similarity to two reference strains from the environment. In all these isolates, we identified genes encoding virulence factors that are very similar to genes encoding virulence factors expressed in Mycobacterium tuberculosis and Mycobacterium smegmatis. However, genome analysis revealed 61 unique genes in all 9 sequenced isolates.
Facile fabrication of ternary MWCNTs/ZnO/Chitosan nanocomposite for enhanced photocatalytic degradation of methylene blue and antibacterial activity
Authors: Malekkiani Mitra , Heshmati Jannat Magham Abbas , Ravari Fatemeh , Dadmehr Mehdi 
Published: April 2022

AbstractDeveloping a cheap, stable and effective photocatalyst is necessary for remediation of persistent organic pollutants. To address this challenge, we proposed a unique interfacial engineering technique and proper bandgap matching strategy to synthesize MWCNTs/ZnO/Chitosan ternary nanocomposite for effective photocatalytic application. The features of the prepared samples were determined by FESEM, TEM, EDX, elemental mapping, AFM, FT-IR, XRD, UV–Vis spectroscopy and BET surface analysis. The obtained results showed successful fabrication of synthesized nanocomposites with enhanced surface area. Degradation effect of nanostructures on methylene blue (MB) and antibacterial activity against Escherichia coli (E. coli), Staphylococcus aureus (S. aureus) and Bacillus subtilis (B. subtilis) pathogenic strains were investigated. The proposed photocatalytic mechanism illustrated the electron transfer facilitated by MWCNTs/ZnO/Chitosan structure which results in spatial separation of electron–hole pairs. Compared with ZnO and ZnO/Chitosan, the prepared MWCNTs/ZnO/Chitosan ternary nanocomposite showed high usage of UV illumination and superior separation of photogenerated electron–hole pairs. MWCNTs/ZnO/Chitosan illustrated 86.26% adsorption rate and outstanding increased photocatalytic activity on MB degradation efficiency of 98.76% after 20 min. Stability of photocatalyst reached from 98.76% initial decolorization to 85% at the fourth cycle. In addition, the ternary nanocomposite also exhibited remarkable bactericidal activity against gram-positive (S. aureus) and (B. subtilis) and gram-negative (E. coli) bacteria strains. Due to the obtained results, the prepared nanocomposite would be an efficient candidate photocatalyst with antibacterial properties.
Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender
Authors: Pelzer Esther Annegret , Stürmer Sophie , Feis Delia-Lisa , Melzer Corina , Schwartz Frank , Scharge Marcel , Eggers Carsten , Tittgemeyer Marc , Timmermann Lars 
Published: April 2022

AbstractMost classification approaches for idiopathic Parkinson’s disease subtypes primarily focus on motor and non-motor symptoms. Besides these characteristics, other features, including gender or genetic polymorphism of dopamine receptors are potential factors influencing the disease’s phenotype. By utilizing a kmeans-clustering algorithm we were able to identify three subgroups mainly characterized by gender, DRD2 Taq1A (rs1800497) polymorphism—associated with changes in dopamine signaling in the brain—and disease progression. A subsequent regression analysis of these subgroups further suggests an influence of their characteristics on the daily levodopa dosage, an indicator for medication response. These findings could promote further enhancements in individualized therapies for idiopathic Parkinson’s disease.
Heterogeneous fates of simultaneously-born neurons in the cortical ventricular zone
Authors: Magrinelli Elia , Baumann Natalia , Wagener Robin Jan , Glangetas Christelle , Bellone Camilla , Jabaudon Denis , Klingler Esther 
Published: April 2022

AbstractNeocortical excitatory neurons belong to diverse cell types, which can be distinguished by their dates of birth, laminar location, connectivity, and molecular identities. During embryogenesis, apical progenitors (APs) located in the ventricular zone first give birth to deep-layer neurons, and next to superficial-layer neurons. While the overall sequential construction of neocortical layers is well-established, whether APs produce multiple neuron types at single time points of corticogenesis is unknown. To address this question, here we used FlashTag to fate-map simultaneously-born (i.e. isochronic) cohorts of AP daughter neurons at successive stages of corticogenesis. We reveal that early in corticogenesis, isochronic neurons differentiate into heterogeneous laminar, hodological and molecular cell types. Later on, instead, simultaneously-born neurons have more homogeneous fates. Using single-cell gene expression analyses, we identify an early postmitotic surge in the molecular heterogeneity of nascent neurons during which some early-born neurons initiate and partially execute late-born neuron transcriptional programs. Together, these findings suggest that as corticogenesis unfolds, mechanisms allowing increased homogeneity in neuronal output are progressively implemented, resulting in progressively more predictable neuronal identities.
An improved spider optimization algorithm coordinated by pheromones
Authors: Feng Siling , Hu Yue , Chen Yinjie , Huang Mengxing 
Published: April 2022

AbstractSwarm intelligence algorithm is an important evolutionary computation method that optimizes the objective function by imitating the behaviors of various organisms in nature. A two-stage swarm intelligence algorithm named spider pheromone coordination algorithm (SPC) is proposed in this paper. SPC tries to explore as many feasible solutions as possible on the cobweb at the positioning stage. It simulates the release and reception of different pheromones between spiders at the hunting stage, and then spiders move towards prey under the co-action of winds and pheromones. Different from the existing algorithms, SPC simulates the process that spiders accomplish intra-species communications through different pheromones and considers the impact on spider wind movement. A large number of typical benchmark functions are used in comparative numerical experiments to verify the performances of SPC. Experiments are made to compare SPC with a series of swarm intelligence algorithms, showing that SPC has higher convergence accuracy and stronger global searchability, effectively keeping the diversity of feasible solutions.
Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes
Authors: Maurya Nehakumari , Mohanty Purvi , Dhangar Somprakash , Panchal Purvi , Jijina Farah , Mathan S. Leo Prince , Shanmukhaiah Chandrakala , Madkaikar Manisha , Vundinti Babu Rao 
Published: April 2022

AbstractMyelodysplastic syndromes (MDS) are a group of clonal hematological disease with high risk of progression to AML. Accurate risk stratification is of importance for the proper management of MDS. Genetic lesions (Cytogenetic and Molecular mutations) are known to help in prognosticating the MDS patients. We have studied 152 MDS patients using cytogenetics and next generation sequencing (NGS). These patients were evaluated and as per cytogenetic prognostic group, majority (92.1%) of the patients classified as good (81.6%) and intermediate (10.5%) group. The NGS identified 38 different gene mutations in our cohort. Among 111 MDS patients with mutations, the most frequent mutated genes were SF3B1 (25.2%), SRSF2 (19%) U2AF1 (14.4%) ASXL1 (9.9%) RUNX1 (9.9%) TET2 (9%), TP53 (9%), ATM (6.3%), NRAS (5.4%) and JAK2/3 (5.4%). The survival analysis revealed that the mutations in TP53, JAK2/3, KRAS, NRAS and ASXL1 were significantly (P < 0.05) associated with poor survival of the patients. The univariate cox and multivariate cox analysis of our study suggested that the age, marrow morphology, cytogenetic and gene mutations with IPSS-R should be considered for prognosticating the MDS patients. We have proposed M-IPSS-R which changed the risk stratification i.e. 66.3% patients had decreased risk whereas 33.75% showed increased risk compared to IPSS-R. The survival analysis also showed that the M-IPSS-R were more significant in separating the patients as per their risk than the IPSS-R alone. The change in risk stratification could help in proper strategy for the treatment planning.
Integrated analysis of expression profiles with meat quality traits in cattle
Authors: Li Yunxiao , Yang Miaosen , Lou Angang , Yun Jinyan , Ren Chunyu , Li Xiangchun , Xia Guangjun , Nam Kichang , Yoon Duhak , Jin Haiguo , Seo Kangseok , Jin Xin 
Published: April 2022

AbstractMicroRNAs (miRNAs) play a vital role in improving meat quality by binding to messenger RNAs (mRNAs). We performed an integrated analysis of miRNA and mRNA expression profiling between bulls and steers based on the differences in meat quality traits. Fat and fatty acids are the major phenotypic indices of meat quality traits to estimate between-group variance. In the present study, 90 differentially expressed mRNAs (DEGs) and 18 differentially expressed miRNAs (DEMs) were identified. Eighty-three potential DEG targets and 18 DEMs were used to structure a negative interaction network, and 75 matching target genes were shown in this network. Twenty-six target genes were designated as intersection genes, screened from 18 DEMs, and overlapped with the DEGs. Seventeen of these genes enriched to 19 terms involved in lipid metabolism. Subsequently, 13 DEGs and nine DEMs were validated using quantitative real-time PCR, and seven critical genes were selected to explore the influence of fat and fatty acids through hub genes and predict functional association. A dual-luciferase reporter and Western blot assays confirmed a predicted miRNA target (bta-miR-409a and PLIN5). These findings provide substantial evidence for molecular genetic controls and interaction among genes in cattle.
Long COVID occurrence in COVID-19 survivors
Authors: Sugiyama Aya , Miwata Kei , Kitahara Yoshihiro , Okimoto Mafumi , Abe Kanon , E Bunthen , Ouoba Serge , Akita Tomoyuki , Tanimine Naoki , Ohdan Hideki , Kubo Tatsuhiko , Nagasawa Akira , Nakanishi Toshio , Takafuta Toshiro , Tanaka Junko 
Published: April 2022

AbstractThis cross-sectional study aimed to investigate the post-acute consequences of COVID-19. We conducted a self-administered questionnaire survey on sequelae, psychological distress (K6), impairments in work performance (WFun), and COVID-19–related experiences of stigma and discrimination in two designated COVID-19 hospitals in Hiroshima Prefecture, Japan, between August 2020 and March 2021. The prevalence of sequelae was calculated by age and COVID-19 severity. Factors independently associated with sequelae or psychological distress were identified using logistic regression analysis. Among 127 patients who had recovered from COVID-19, 52.0% had persistent symptoms at a median of 29 days [IQR 23–128] after COVID-19 onset. Among patients with mild COVID-19, 49.5% had sequelae. The most frequent symptoms were olfactory disorders (15.0%), taste disorders (14.2%), and cough (14.2%). Multivariate analysis showed that age was an independent risk factor for sequelae (adjusted odds ratios [AOR] for ≥ 60 years vs. < 40 years 3.63, p = 0.0165). Possible psychological distress was noted in 30.7% (17.9% of males and 45.0% of females). Female sex and the presence of sequelae were independent risk factors for psychological distress. Of all participants, 29.1% had possible impairments in work performance. Experiences of stigma and discrimination were reported by 43.3% of participants. This study revealed the significant impacts of Long COVID on health in local communities. A large-scale, long-term cohort study is desired.
Anisotropic thermal and electrical transport properties induced high thermoelectric performance in an Ir2Cl2O2 monolayer
Authors: Fan Qiang , Yang Jianhui , Qi Hangbo , Yu Linfeng , Qin Guangzhao , Sun Zhehao , Shen Chen , Wang Ning 
Published: April 2022

This work reveals that the anisotropic layer Ir2Cl2O2 exhibits high TE performance, which confirms that it is feasible to screen excellent TE materials via high-throughput calculations.
Preliminary results of the experimental cross sections of the long-lived β+ emitters of interest in PET range verification in proton therapy at clinical energies
Authors: Rodriguez-Gonzalez Teresa , Guerrero Carlos , Bäcker Claus Maximilian , Bäumer Christian , Jentzen Walter , Jiménez-Ramos M. Carmen , Millán-Callado M. Ángeles , Timmermann Beate , Quesada José Manuel 
Published: April 2022

In proton therapy, offline PET range verification requires a comparison of the measured and expected β+ activity distributions produced by the proton field in the body, looking at the the long-lived β+ emitters. The reliability of the expected activity distributions depends on the Monte Carlo simulations and hence on the accuracy of the underlying cross section data. However, several studies confirm the need for more and better measurements and evaluations of these cross sections.
In this work, the employed method to measure the production yields of the long-lived β+ emitters of interest in PET range verification 11C (t1/2 = 20 min), 13N (t1/2 = 10 min) and 15O (t1/2 = 2 min) in C, N and O is presented. The method combines the multi-foil activation technique with the subsequent measurement of the induced activity in a clinical PET scanner. The preliminary results of the12C(p,pn)11C reaction cross sections is presented.
Ambulantes Glukoseprofil (AGP) und relevante Daten aus CGM-Messungen
Authors: Kröger Jens , Thomas Andreas 
Published: April 2022

ZUSAMMENFASSUNGDas kontinuierliche Glukosemonitoring (CGM) hat sich zum Standard der Therapieunterstützung von Menschen mit Typ-1-Diabetes entwickelt. Darüber hinaus nutzen zunehmend auch Menschen mit Typ-2-Diabetes CGM. Mit dem CGM ergeben sich aber nicht nur eine Reihe von neuen Glukoseparametern, die unter der punktuellen Blutzuckermessung gar nicht ermittelt werden konnten, es ergeben sich auch vielfältige Daten, die sich zu einem Bild über den Glukoseverlauf zusammensetzen. Das macht es notwendig, diese Bilder schnell und effektiv zu interpretieren. Das Ambulante Glukoseprofil (AGP) ist ein Modell, in welchem die Daten zusammengefasst sind und welches sich schnell auswerten lässt, auch unter Praxisbedingungen im Gespräch mit den Patienten. Darüber wird nachfolgend berichtet.
Digitalisierung in der diabetologischen Schwerpunktpraxis
Authors: Schubert-Olesen Oliver 
Published: April 2022

ZUSAMMENFASSUNGDie Digitalisierung ist in aller Munde. Auch im Medizinbereich und gerade im Bereich der Diabetologie – mit dem wichtigen Anteil des Datenmanagements – scheinen sich große Möglichkeiten zu eröffnen. Digitalisierung kann die Arbeitsabläufe und Therapiequalität in der Praxis positiv beeinflussen. Dabei muss zwischen „Pflichtdigitalisierung“ und optionalen Möglichkeiten unterschieden werden. Welche Möglichkeiten gibt es jedoch bei den optionalen Änderungen, wo kann ich Ideen sammeln? Welche Vorteile bieten sie und wie können sie umgesetzt werden? Dabei sollten die Möglichkeiten zusammengetragen, individuell der Bedarf ausgelotet und die Umsetzung gut geplant werden.