bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-bacterial vertebral osteitis as the first manifestation of pustulotic arthro-osteitis
Authors: Ueda Yoshitaka , Yokogawa Naoto , Shimada Kota 
Published: March 2023

ABSTRACT
Pustulotic arthro-osteitis (PAO) is an osteoarticular comorbidity of palmoplantar pustulosis, a chronic, recurrent, inflammatory skin disease presenting with erythema, scales, and pustules on the palms and soles. Palmoplantar pustulosis is one of the most common skin diseases in Japan and is accompanied by PAO in 10–30% of patients. PAO often involves anterior chest wall lesions, but vertebral involvement is uncommon. The present report describes a case of PAO in which the initial manifestation was only non-bacterial vertebral osteitis, with palmoplantar pustulosis developing 8 months after its onset. A patient with vertebral osteitis of unknown aetiology should be followed up and examined periodically for skin problems, which may provide a clue to the presence of PAO.
Characterization of proteome profile data of chemicals based on data-independent acquisition MS with SWATH method
Authors: Ishiguro Hiromu , Mizuno Tadahaya , Uchida Yasuo , Sato Risa , Sasaki Hayate , Nemoto Shumpei , Terasaki Tetsuya , Kusuhara Hiroyuki 
Published: March 2023

AbstractTranscriptomic data of cultured cells treated with a chemical are widely recognized as useful numeric information that describes the effects of the chemical. This property is due to the high coverage and low arbitrariness of the transcriptomic data as profiles of chemicals. Considering the importance of posttranslational regulation, proteomic profiles could provide insights into the unrecognized aspects of the effects of chemicals. Therefore, this study aimed to address the question of how well the proteomic profiles obtained using data-independent acquisition (DIA) with the sequential window acquisition of all theoretical mass spectra, which can achieve comprehensive and arbitrariness-free protein quantification, can describe chemical effects. We demonstrated that the proteomic data obtained using DIA-MS exhibited favorable properties as profile data, such as being able to discriminate chemicals like the transcriptomic profiles. Furthermore, we revealed a new mode of action of a natural compound, harmine, through profile data analysis using the proteomic profile data. To our knowledge, this is the first study to investigate the properties of proteomic data obtained using DIA-MS as the profiles of chemicals. Our 54 (samples) × 2831 (proteins) data matrix would be an important source for further analyses to understand the effects of chemicals in a data-driven manner.
Resistant hypertension in dialysis
Authors: Symonides Bartosz , Lewandowski Jacek , Małyszko Jolanta 
Published: March 2023

ABSTRACT
Hypertension is the most common finding in chronic kidney disease patients, with prevalence ranging from 60% to 90% depending on the stage and etiology of the disease. It is also a significant independent risk factor for cardiovascular disease, progression to end-stage kidney disease and mortality. According to the current guidelines, resistant hypertension is defined in the general population as uncontrolled blood pressure on three or more antihypertensive drugs in adequate doses or when patients are on four or more antihypertensive drug categories irrespective of the blood pressure control, providing that antihypertensive treatment included diuretics. The currently established definitions of resistant hypertension are not directly applicable to the end-stage kidney disease setting. The diagnosis of true resistant hypertension requires confirmation of adherence to therapy and confirmation of uncontrolled blood pressure values by ambulatory blood pressure measurement or home blood pressure measurement. In addition, the term “apparent treatment-resistant hypertension,” defined as an uncontrolled blood pressure on three or more antihypertensive medication classes, or use of four or more medications regardless of blood pressure level was introduced. In this comprehensive review we focused on the definitions of hypertension, and therapeutic targets in patients on renal replacement therapy, including the limitations and biases. We discussed the issue of pathophysiology and assessment of blood pressure in the dialyzed population, management of resistant hypertension as well as available data on prevalence of apparent treatment-resistant hypertension in end-stage kidney disease. To conclude, larger sample-size and even higher quality studies about drug adherence should be conducted in the population of patients with the end-stage kidney disease who are on dialysis. It also should be determined how and when blood pressure should be measured in the group of dialysis patients. Additionally, it should be stated what the target blood pressure values in this group of patients really are. The definition of resistant hypertension in this group should be revisited, and its relationship to both subclinical and clinical endpoints should be established.
Role of IP-10 to Predict Clinical Progression and Response to IL-6 Blockade With Sarilumab in Early COVID-19 Pneumonia. A Subanalysis of the SARICOR Clinical Trial
Authors: Trigo-Rodríguez Marta , Cárcel Sheila , Navas Ana , Espíndola-Gómez Reinaldo , Garrido-Gracia José Carlos , Esteban Moreno María Ángeles , León-López Rafael , Pérez-Crespo Pedro María Martínez , Alonso Eduardo Aguilar , Vinuesa David , Romero-Palacios Alberto , Pérez-Camacho Inés , Gutiérrez-Gutiérrez Belén , Martínez-Marcos Francisco Javier , Fernández-Roldán Concepción , León Eva , Caño Alexandra Aceituno , Corzo-Delgado Juan E , Perez-Nadales Elena , Riazzo Cristina , de la Fuente Carmen , Jurado Aurora , Torre-Cisneros Julián , Merchante Nicolás 
Published: March 2023

AbstractBackgroundThe Clinical Trial of Sarilumab in Adults With COVID-19 (SARICOR) showed that patients with coronavirus disease 2019 (COVID-19) pneumonia and increased levels of interleukin (IL)-6 might benefit from blockade of the IL-6 pathway. However, the benefit from this intervention might not be uniform. In this subanalysis, we sought to determine if other immunoactivation markers, besides IL-6, could identify which subgroup of patients benefit most from this intervention.MethodsThe SARICOR trial was a phase II, open-label, multicenter, controlled trial (July 2020–March 2021) in which patients were randomized to receive usual care (UC; control group), UC plus a single dose of sarilumab 200 mg (sarilumab-200 group), or UC plus a single dose of sarilumab 400 mg (sarilumab-400 group). Patients who had baseline serum samples for cytokine determination (IL-8, IL-10, monocyte chemoattractant protein–1, interferon-inducible protein [IP]-10) were included in this secondary analysis. Progression to acute respiratory distress syndrome (ARDS) according to cytokine levels and treatment received was evaluated.ResultsOne hundred one (88%) of 115 patients enrolled in the SARICOR trial had serum samples (control group: n = 33; sarilumab-200: n = 33; sarilumab-400: n = 35). Among all evaluated biomarkers, IP-10 showed the strongest association with treatment outcome. Patients with IP-10 ≥2500 pg/mL treated with sarilumab-400 had a lower probability of progression (13%) compared with the control group (58%; hazard ratio, 0.19; 95% CI, 0.04–0.90; P = .04). Conversely, patients with IP-10 &lt;2500 pg/mL did not show these differences.ConclusionsIP-10 may predict progression to ARDS in patients with COVID-19 pneumonia and IL-6 levels &gt;40 pg/mL. Importantly, IP-10 value &lt;2500 pg/mL might discriminate those individuals who might not benefit from sarilumab therapy among those with high IL-6 levels.
Characteristics of Immune Checkpoint Inhibitor-Associated Gastritis: Report from a Major Tertiary Care Center
Authors: Farha Natalie , Faisal Muhammad Salman , Allende Daniela S , Sleiman Joseph , Shah Ravi , Farha Nicole , Funchain Pauline , Philpott Jessica R 
Published: March 2023

Abstract

Background
Immune checkpoint inhibitors (ICIs) have increased our ability to treat an ever-expanding number of cancers. We describe a case series of 25 patients who were diagnosed with gastritis following ICI therapy.

Materials and Methods
This was a retrospective study involving 1712 patients treated for malignancy with immunotherapy at Cleveland Clinic from January 2011 to June 2019 (IRB 18-1225). We searched electronic medical records using ICD-10 codes for gastritis diagnosis confirmed on endoscopy and histology within 3 months of ICI therapy. Patients with upper gastrointestinal tract malignancy or documented Helicobacter pylori-associated gastritis were excluded.

Results
Twenty-five patients were found to meet the criteria for diagnosis of gastritis. Of these 25 patients, most common malignancies were non–small cell lung cancer (52%) and melanoma (24%). Median number of infusions preceding symptoms was 4 (1-30) and time to symptom onset 2 (0.5-12) weeks after last infusion. Symptoms experienced were nausea (80%), vomiting (52%), abdominal pain (72%), and melena (44%). Common endoscopic findings were erythema (88%), edema (52%), and friability (48%). The most common diagnosis of pathology was chronic active gastritis in 24% of patients. Ninety-six percent received acid suppression treatment and 36% of patients also received steroids with an initial median dose of prednisone 75 (20-80) mg. Within 2 months, 64% had documented complete resolution of symptoms and 52% were able to resume immunotherapy.

Conclusion
Patients presenting with nausea, vomiting, abdominal pain, or melena following immunotherapy should be assessed for gastritis and if other causes are excluded, may require treatment as consideration for complication of immunotherapy.
Low Risk of Hyperprogression with First-Line Chemoimmunotherapy for Advanced Non-Small Cell Lung Cancer: Pooled Analysis of 7 Clinical Trials
Authors: Li Lee X , Cappuzzo Federico , Matos Ignacio , Socinski Mark A , Hopkins Ashley M , Sorich Michael J 
Published: March 2023

AbstractBackgroundMonotherapy immune checkpoint inhibitor (ICI) used in second- or later-line settings has been reported to induce hyperprogression. This study evaluated hyperprogression risk with ICI (atezolizumab) in the first-, second-, or later-line treatment of advanced non–small cell lung cancer (NSCLC), and provides insights into hyperprogression risk with contemporary first-line ICI treatment.MethodsHyperprogression was identified using Response Evaluation Criteria in Solid Tumours (RECIST)-based criteria in a dataset of pooled individual-participant level data from BIRCH, FIR, IMpower130, IMpower131, IMpower150, OAK, and POPLAR trials. Odds ratios were computed to compare hyperprogression risks between groups. Landmark Cox proportional-hazard regression was used to evaluate the association between hyperprogression and progression-free survival/overall survival. Secondarily, putative risk factors for hyperprogression among second- or later-line atezolizumab-treated patients were evaluated using univariate logistic regression models.ResultsOf the included 4644 patients, 119 of the atezolizumab-treated patients (n = 3129) experienced hyperprogression. Hyperprogression risk was markedly lower with first-line atezolizumab—either chemoimmunotherapy or monotherapy—compared to second/later-line atezolizumab monotherapy (0.7% vs. 8.8%, OR = 0.07, 95% CI, 0.04-0.13). Further, there was no statistically significant difference in hyperprogression risk with first-line atezolizumab-chemoimmunotherapy versus chemotherapy alone (0.6% vs. 1.0%, OR = 0.55, 95% CI, 0.22-1.36). Sensitivity analyses using an extended RECIST-based criteria including early death supported these findings. Hyperprogression was associated with worsened overall survival (HR = 3.4, 95% CI, 2.7-4.2, P &lt; .001); elevated neutrophil-to-lymphocyte ratio was the strongest risk factor for hyperprogression (C-statistic = 0.62, P &lt; .001).ConclusionsThis study presents first evidence for a markedly lower hyperprogression risk in advanced NSCLC patients treated with first-line ICI, particularly with chemoimmunotherapy, as compared to second- or later-line ICI treatment.
Dysregulated miRNAs modulate tumor microenvironment associated signaling networks in pancreatic ductal adenocarcinoma
Authors: Liu Tiantian , Chen Zhong , Chen Wanqiu , Evans Ryan , Xu Jane , Reeves Mark E , de Vera Michael E , Wang Charles 
Published: March 2023

AbstractThe desmoplastic and complex tumor microenvironment of pancreatic ductal adenocarcinoma (PDAC) has presented tremendous challenges for developing effective therapeutic strategies. Strategies targeting tumor stroma, albeit with great potential, have met with limited success due to the lack of knowledge on the molecular dynamics within the tumor microenvironment (TME). In pursuit of a better understanding of the influence of miRNAs on TME reprogramming and to explore circulating miRNAs as diagnostic and prognostic biomarkers for PDAC, using RNA-seq, miRNA-seq, and single-cell RNA-seq (scRNA-seq), we investigated the dysregulated signaling pathways in PDAC TME modulated by miRNAs from plasma and tumor tissue. Our bulk RNA-seq in PDAC tumor tissue identified 1445 significantly differentially expressed genes with extracellular matrix and structure organization as the top enriched pathways. Our miRNA-seq identified 322 and 49 abnormally expressed miRNAs in PDAC patient plasma and tumor tissue, respectively. We found many of the TME signaling pathways were targeted by those dysregulated miRNAs in PDAC plasma. Combined with scRNA-seq from patient PDAC tumor, our results revealed that these dysregulated miRNAs were closely associated with extracellular matrix (ECM) remodeling, cell-ECM communication, epithelial-mesenchymal transition, as well as immunosuppression orchestrated by different cellular components of TME. The findings of this study could assist the development of miRNA-based stromal targeting biomarkers or therapy for PDAC patients.
A cryptic natural variant allele of BYPASS2 suppresses the bypass1 mutant phenotype
Authors: Cummins Alexander J , Siler C J , Olson Jacob M , Kaur Amanpreet , Hamdani Adam K , Olson L Kate , Dilkes Brian P , Sieburth Leslie E 
Published: March 2023

Abstract
The Arabidopsis (Arabidopsis thaliana) BYPASS1 (BPS1) gene encodes a protein with no functionally characterized domains, and loss-of-function mutants (e.g. bps1-2 in Col-0) present a severe growth arrest phenotype that is evoked by a root-derived graft-transmissible small molecule that we call dalekin. The root-to-shoot nature of dalekin signaling suggests it could be an endogenous signaling molecule. Here, we report a natural variant screen that allowed us to identify enhancers and suppressors of the bps1-2 mutant phenotype (in Col-0). We identified a strong semi-dominant suppressor in the Apost-1 accession that largely restored shoot development in bps1 and yet continued to overproduce dalekin. Using bulked segregant analysis and allele-specific transgenic complementation, we showed that the suppressor is the Apost-1 allele of a BPS1 paralog, BYPASS2 (BPS2). BPS2 is one of four members of the BPS gene family in Arabidopsis, and phylogenetic analysis demonstrated that the BPS family is conserved in land plants and the four Arabidopsis paralogs are retained duplicates from whole genome duplications. The strong conservation of BPS1 and paralogous proteins throughout land plants, and the similar functions of paralogs in Arabidopsis, suggests that dalekin signaling might be retained across land plants.
AI-tocracy
Authors: Beraja Martin , Kao Andrew , Yang David Y , Yuchtman Noam 
Published: March 2023

Abstract
Recent scholarship has suggested that artificial intelligence (AI) technology and autocratic regimes may be mutually reinforcing. We test for a mutually reinforcing relationship in the context of facial-recognition AI in China. To do so, we gather comprehensive data on AI firms and government procurement contracts, as well as on social unrest across China since the early 2010s. We first show that autocrats benefit from AI: local unrest leads to greater government procurement of facial-recognition AI as a new technology of political control, and increased AI procurement indeed suppresses subsequent unrest. We show that AI innovation benefits from autocrats’ suppression of unrest: the contracted AI firms innovate more both for the government and commercial markets and are more likely to export their products; noncontracted AI firms do not experience detectable negative spillovers. Taken together, these results suggest the possibility of sustained AI innovation under the Chinese regime: AI innovation entrenches the regime, and the regime’s investment in AI for political control stimulates further frontier innovation.
Raising awareness through continuous indoor radon measurements in workplaces
Authors: Săpoi Ruxandra , Cheresteş Margareta , Negreanu Denisa , Cheresteş Codruţ , Filip Valentin 
Published: March 2023

Abstract
When radon is taken out of the scientific context in order to be understood by the public, the way the media approaches radon is prone to sensationalising. Communicating risk in a clear and effective manner was never easy and communication of radon risk poses serious challenges because radon is not widely known and specialists need to be more involved in engagement activities and campaigns to inform about radon exposure. This paper presents the results of the continuous radon measurements performed in workplaces for raising awareness among occupationally exposed workers. Radon measurements were made using Airthings monitors for up to 9 months of monitoring. Measured data correlated to real-time visualisation of the maximum radon levels provided convincing evidence that led to increased interest for radon exposure among exposed workers, raise awareness and empowered their own understanding of radon exposure.
Experience with NORM waste disposal in different European countries
Authors: Gellermann Rainer , Caplin Helen , Chambers Nick , Dongen Oskar van , Grandia Fidel , Hondros Jim , Kunze Christian , Michalik Boguslaw , Pepin Stéphane , Rovenska Katerina N , Trevisi Rosabianca 
Published: March 2023

Abstract
Industrial processes generate various quantities of waste that can be contaminated with radionuclides of natural origin (naturally occurring radioactive material (‘NORM waste’)). The efficient management of this waste is essential for any industries affected by NORM waste generation. To obtain an overview of current practices and approaches in Europe, the IRPA Task Group on NORM conducted a survey among task group members and other experts from European countries. The results revealed significant differences in methods and approaches in the European countries. In many countries, landfills are used to dispose of small- and medium-sized quantities of NORM waste with limited activity concentration. But our survey indicated that despite a uniform reference basis for national legislation in Europe, there are different framework conditions for the disposal of NORM waste in practice. In some countries, the disposal is hampered because the interface between the radiation protection system and the waste regime is not yet clearly regulated. Particular practical problems include the lack of acceptance of waste because of the ‘radioactivity’ stigma and only vague specifications by the legislators on acceptance obligations of the waste management sector.
Fermi problems as a hub for task design in mathematics and stem education
Authors: Ärlebäck Jonas Bergman , Albarracín Lluís 
Published: March 2023

Abstract
In this paper, we draw on recent research on so-called Fermi problems and situate the fundamental principles underlying this type of tasks and their use from a task design perspective. We use the models and modelling perspective on teaching and learning to elaborate on aspects related to the design of single-use, as well as sequences of, Fermi problems. In addition, we discuss a framework (called the Fermi problem activity template [FPAT] framework) for supporting the design and use of Fermi problems to facilitate students' learning within particular mathematics content areas and/or aimed at particular concepts or higher-order thinking skills. We also illustrate how the FPAT framework can be used to (i) facilitate interdisciplinary collaborations with other subjects such as the social sciences, but in particular with the other STEM subjects; and (ii) support teachers in adapting and implementing Fermi problems in their classrooms.
Comprehensive physio-biochemical and transcriptomic characterization to decipher the network of key genes under waterlogging stress and its recuperation inPrunus persica
Authors: Ateeq Muhammad , Khan Aamir Hamid , Zhang Dongmei , Alam Shariq Mahmood , Shen Wanqi , Wei Minghua , Meng Jian , Shen Xingyi , Pan Jiajia , Zhu Kaijie , He Hanzi , Li Guohuai , Liu Junwei 
Published: March 2023

AbstractWaterlogging is a major abiotic stress that plants encounter as a result of climate change impacts. Peach is very sensitive to hypoxia during waterlogging, which causes poor tree vigor and huge economic losses. The molecular mechanism underlying the peach response to waterlogging and reoxygenation remains unclear. Here, the physiological and molecular responses of 3-week-old peach seedlings under waterlogged and recovery conditions were comprehensively analyzed. As a result, waterlogging significantly reduced plant height and biomass with inhibition of root growth when compared with control and reoxygenation. Similar results were observed for photosynthetic activities and gaseous exchange parameters. Waterlogging increased lipid peroxidation, hydrogen peroxide, proline, glutamic acid and glutathione contents, while superoxide dismutase, peroxidases and catalase activities were decreased. The glucose and fructose contents were accumulated, contrary to sucrose which was reduced remarkably throughout the stress periods. The level of endogenous indole acetic acid (IAA) was increased in waterlogging but decreased after reoxygenation. However, the change trends of jasmonic acid (JA), cytokinins and abscisic acid (ABA) levels were opposite to IAA. In transcriptomic analysis, there were 13,343 differentially expressed genes (DEGs) with higher and 16,112 genes with lower expression. These DEGs were greatly enriched in carbohydrate metabolism, anaerobic fermentation, glutathione metabolism and IAA hormone biosynthesis under waterlogging, while they were significantly enriched in photosynthesis, reactive oxygen species scavenging, ABA and JA hormones biosynthesis in reoxygenation. Moreover, several genes related to stress response, carbohydrate metabolism and hormones biosynthesis were significantly changed in waterlogging and reoxygenation, which indicated unbalanced amino acid, carbon and fatty acid pools in peach roots. Taken together, these results suggest that glutathione, primary sugars and hormone biosynthesis and signaling might play key roles in plant response to waterlogging. Our work provides a comprehensive understanding of gene regulatory networks and metabolites in waterlogging stress and its recuperation, which will facilitate peach waterlogging control.
Model-free adaptive robust control method for high-speed trains
Authors: Li Zhongqi , Zhou Liang , Yang Hui , Yan Yue 
Published: March 2023

Abstract
Aiming at the robustness issue in high-speed trains (HSTs) operation control, this article proposes a model-free adaptive control (MFAC) scheme to suppress disturbance. Firstly, the dynamic linearization data model of train system under the action of measurement disturbance is given, and the Kalman filter (KF) based on this model is derived under the minimum variance estimation criterion. Then, according to the KF, an anti-interference MFAC scheme is designed. This scheme only needs the input and output data of the controlled system to realize the MFAC of the train under strong disturbance. Finally, the simulation experiment of CRH380A HSTs is carried out and compared with the traditional MFAC and the MFAC with attenuation factor. The proposed control algorithm can effectively suppress the measurement disturbance, and obtain smaller tracking error and larger signal to noise ratio with better applicability.