bluuebunny/crossref_metadata_2025_split huggingface dataset:
Splenectomy induces biochemical remission and regeneration in experimental murine autoimmune hepatitis
Authors: Dywicki Janine , Buitrago-Molina Laura Elisa , Noyan Fatih , Schlue Jerome , Iordanidis Konstantinos , Manns Michael P. , Wedemeyer Heiner , Jaeckel Elmar , Hardtke-Wolenski Matthias 
Published: December 2022

AbstractAutoimmune hepatitis (AIH) is a chronic immune-mediated inflammatory liver disease. It is known that AIH originates not from the spleen but from the liver itself. Nonetheless, most details of the etiology and pathophysiology are unknown. We induced experimental murine AIH (emAIH) in NOD/Ltj mice by single administration of a replication-deficient adenovirus and performed splenectomy during late-stage disease. Biochemical disease remission occurred, which was characterized by improvement in transaminase levels. The causes of this remission included a shift in the transcriptomic signature of serum proteins toward regeneration. At the cellular level, there was a marked decrease in activated CD8+T cells and an increase in intrahepatic regulatory T cells (Tregs). Here, intrahepatic Treg numbers correlated with biochemical remission. Notably, an imbalance in the T-cell/B-cell ratio was observed, with a disproportionate increase in total B cells. In summary, intrahepatic increases in Tregs, biochemical remission, and regeneration could be induced by splenectomy in the late stage of emAIH.
Operationalizing and automating Data Governance
Authors: Nadal Sergi , Jovanovic Petar , Bilalli Besim , Romero Oscar 
Published: December 2022

AbstractThe ability to cross data from multiple sources represents a competitive advantage for organizations. Yet, the governance of the data lifecycle, from the data sources into valuable insights, is largely performed in an ad-hoc or manual manner. This is specifically concerning in scenarios where tens or hundreds of continuously evolving data sources produce semi-structured data. To overcome this challenge, we develop a framework for operationalizing and automating data governance. For the first, we propose a zoned data lake architecture and a set of data governance processes that allow the systematic ingestion, transformation and integration of data from heterogeneous sources, in order to make them readily available for business users. For the second, we propose a set of metadata artifacts that allow the automatic execution of data governance processes, addressing a wide range of data management challenges. We showcase the usefulness of the proposed approach using a real world use case, stemming from the collaborative project with the World Health Organization for the management and analysis of data about Neglected Tropical Diseases. Overall, this work contributes on facilitating organizations the adoption of data-driven strategies into a cohesive framework operationalizing and automating data governance.
Alternaria alternata strain VLH1: a potential entomopathogenic fungus native to North Western Indian Himalayas
Authors: Paschapur Amit Umesh , Subbanna A. R. N. S. , Singh Ashish Kumar , Jeevan B. , Stanley Johnson , Rajashekara H. , Mishra Krishna Kant , Koti Prasanna S. , Kant Lakshmi , Pattanayak Arunava 
Published: December 2022

Abstract
Background
The inadvertent observation of a substantial population reduction of greenhouse whiteflies infecting Salvia divinorum plants grown in a polyhouse sparked a flurry of inquiries on the cause of the population decline. The entomopathogenic fungus (EPF) (Alternaria alternata strain VLH1) infecting greenhouse whitefly on S. divinorum plants was isolated and morphologically and molecularly characterised using multilocus sequence typing.

Results
The fungus was found to be highly virulent against sucking pests; with LC50 values ranging from 1.7 × 104 to 2.5 × 106 spores per ml for the Mustard aphid (Lipaphis erysimi Kaltenbach) and soybean sucking bug (Chauliops choprai Sweet and Schaeffer), respectively. In the lepidopteran larvae treated with a concentration of 3 × 105 spores per ml, the fungus induced developmental abnormalities such as aberrant larval to pupal moulting, defective pupae, and deformed adults. Pathogenicity studies on the two beneficial insects (Coccinella septempunctata (Linn.) and Apis mellifera L.) and 11 host plants revealed no disease signs, indicating that it is safe for use in pest management in hill agriculture. The chitinolytic activity of the fungus and its crude protein extracts was reported in studies conducted against target insect pests, with the highest chitinase enzyme production (117.7 U/ml) on the fourth day of inoculation. Furthermore, over a 96-h period, third instar Helicoverpa armigera (Hubn.) larvae fed on a protein fraction-amended artificial diet showed a significant decrease in nutritional physiology indices such as relative growth rate, relative consumption rate, efficiency of ingested food conversion, efficiency of digested food conversion, and approximate digestibility. Moreover, the polyhouse and open-field studies against two sucking pests; Myzus persicae (Sulz.) infesting capsicum in polyhouse and L. erysimi infesting Indian rapeseed in open-field conditions showed, 81.14% and 63.14% mortality rates, respectively, at 3 × 107 spore/ml concentration.

Conclusions
Entomopathogenic fungus (EPF) was reported to be an effective biocontrol agent, which caused direct mortality in sucking pests to developmental abnormalities in lepidopteran insects. Despite positive findings in in vitro and in vivo bioassay investigations against various insect pests, the fungus still has to be inspected before it can be used on a broad scale for biological pest management.
Biocontrol of the western conifer seed bug, Leptoglossus occidentalis Heidemann (Heteroptera: Coreidae) using indigenous entomopathogenic fungi
Authors: Eski Ardahan , Biryol Seda , Acici Ozden , Demir İsmail 
Published: December 2022

Abstract
Background
The western conifer seed bug, Leptoglossus occidentalis Heidemann (Heteroptera: Coreidae), is one of the major pest in seed orchards of various conifers, significantly affects pine seed production and causes economic damage. Biological control by natural enemies has been well studied, but its entomopathogens have been poorly studied. In this study, the efficacy of twelve indigenous entomopathogenic fungi belonging to the genera Beauveria, Metarhizium, and Isaria on L. occidentalis adults was investigated.

Results
All isolates were found to be pathogenic at a concentration of 107 conidia/ml where the virulence ranged from 16 to 90%. Moreover, the virulence of two Metarhizium flavoviride isolates (As2 and As18) reached 90% at 107 conidia/ml concentration. In addition, L. occidentalis treated with M. flavoviride As18 (LT50 = 2.53 days) died more rapidly than with M. flavoviride As2 (LT50 = 5.83 days) at the same treated concentration. For concentration-dependent virulence for isolate As18, five conidia concentrations: 103, 104, 105, 106, and 107 conidia/ml were used. Also, the median lethal (LC50) value of As18 isolate was estimated to be 7.61 × 103 conidia/ml after 10 days of treatment. Since L. occidentalis is known to accumulate during overwintering, conidial transmission among adults was investigated. Unfortunately, horizontal transmission between adults did not occur.

Conclusion
The isolate M. flavoviride As18, which had low LC50 and LT50 values, appeared to be a promising biological control agent against L. occidentalis. This isolate should be formulated as a myco-insecticide and tested under field conditions in further studies.
Selection hub MicroRNAs as biomarkers in breast cancer stem cells in extracellular matrix using bioinformatics analyses
Authors: Shirinsokhan Armaghan , Azarmehr Zahra , Jalili Arsalan , Sadrabadi Amin Ebrahimi , Partan Arman Saadati , Tutunchi Sara , Bereimipour Ahmad 
Published: December 2022

Abstract
Background
Breast cancer is one of the most common cancers in women, and many people get it every year. The cancer stem cells are maybe crucial role to exacerbates and relapse the breast cancer. Therefore, finding biomarkers in human secretions can be an suitable solution for early detection and neo adjuvant therapy. This study aimed to investigate the molecular events related to the cancer stem cells in breast cancer, after which we nominated a suitable MicroRNAs participates in breast cancer pathogenesis.

Methods
In this study, we investigated the relationship between molecular pathways using a bioinformatics approach. First, we selected the appropriate RNA-Seq datasets from the GEO database. We used Enrichr, KEGG, and Shiny GO databases to evaluate the signal pathways and gene ontology after isolating the gene expression profiles. In the next step, we used the STRING database to assess the protein network, and we used the Targetscan database to nominate the MicroRNA.

Results
510 high-expression genes and 460 low-expression genes were associated with breast cancer and the cancer stem cells. Highly expressed genes were involved in the cell cycle and cellular aging pathways. On the other hand, low-expression genes were involved in the RNA transports, spliceosome, and apoptosis pathways. After evaluating the ontology of genes and the relationship between proteins, high-expression SPARC, INHBA, FN1, and GBA proteins were nominated. In the next section, the MicroRNAs related to these genes were hsa miR-9.5p, hsa miR-203.3p, and hsa miR-429.

Conclusion
In general, we examined more closely and more the relationship between the cancer stem cells pathway and breast cancer using a regular and accurate bioinformatics framework. Finally, we nominated suitable MicroRNAs that were involved in breast cancer stem cells.
The Advanced-Stage Hodgkin Lymphoma International Prognostic Index: Development and Validation of a Clinical Prediction Model From the HoLISTIC Consortium
Authors: Rodday Angie Mae , Parsons Susan K. , Upshaw Jenica N. , Friedberg Jonathan W. , Gallamini Andrea , Hawkes Eliza , Hodgson David , Johnson Peter , Link Brian K. , Mou Eric , Savage Kerry J. , Zinzani Pier Luigi , Maurer Matthew , Evens Andrew M. 
Published: December 2022

PURPOSE The International Prognostic Score (IPS) has been used in classic Hodgkin lymphoma (cHL) for 25 years. However, analyses have documented suboptimal performance of the IPS among contemporarily treated patients. Harnessing multisource individual patient data from the Hodgkin Lymphoma International Study for Individual Care consortium, we developed and validated a modern clinical prediction model. METHODS Model development via Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis guidelines was performed on 4,022 patients with newly diagnosed advanced-stage adult cHL from eight international phase III clinical trials, conducted from 1996 to 2014. External validation was performed on 1,431 contemporaneously treated patients from four real-world cHL registries. To consider association over a full range of continuous variables, we evaluated piecewise linear splines for potential nonlinear relationships. Five-year progression-free survival (PFS) and overall survival (OS) were estimated using Cox proportional hazard models. RESULTS The median age in the development cohort was 33 (18-65) years; nodular sclerosis was the most common histology. Kaplan-Meier estimators were 0.77 for 5-year PFS and 0.92 for 5-year OS. Significant predictor variables included age, sex, stage, bulk, absolute lymphocyte count, hemoglobin, and albumin, with slight variation for PFS versus OS. Moreover, age and absolute lymphocyte count yielded nonlinear relationships with outcomes. Optimism-corrected c-statistics in the development model for 5-year PFS and OS were 0.590 and 0.720, respectively. There was good discrimination and calibration in external validation and consistent performance in internal-external validation. Compared with the IPS, there was superior discrimination for OS and enhanced calibration for PFS and OS. CONCLUSION We rigorously developed and externally validated a clinical prediction model in > 5,000 patients with advanced-stage cHL. Furthermore, we identified several novel nonlinear relationships and improved the prediction of patient outcomes. An online calculator was created for individualized point-of-care use.
A Genetic Assessment of Dopamine Agonist-Induced Impulse Control Disorder in Patients With Prolactinoma
Authors: Sahin Serdar , Sudutan Tugce , Kavla Yasin , Durcan Emre , Özogul Yeliz Yagiz , Poyraz Burc Cagri , Sayitoglu Muge , Ozkaya Hande Mefkure , Kadioglu Pinar 
Published: December 2022

Abstract

Context
Dopamine agonist (DA)–induced impulse control disorder (ICD) represents a group of behavioral disorders that are increasingly recognized in patients with prolactinoma.

Objective
We aimed to examine the genetic component of the underlying mechanism of DA-induced ICD.

Methods
Patients with prolactinoma receiving dopamine agonist (cabergoline) treatment were included in the study. These patients were divided into 2 groups: patients who developed ICD due to DA and patients who did not. Patients were evaluated for polymorphisms of the DRD1, DRD3, COMT, DDC, GRIN2B, TPH2, OPRK1, OPRM1, SLC6A4, SLC6A3, HTR2A genes.

Results
Of the 72 patients with prolactinoma using cabergoline, 20 were diagnosed with ICD. When patients with and without ICD were compared according to genotype frequencies, OPRK1/rs702764, DRD3/rs6280, HTR2A/rs6313, SLC6A4/rs7224199, GRIN2B/rs7301328, TPH2/rs7305115, COMT/rs4680, DRD1/rs4532 polymorphisms significantly increased in patients with DA-induced ICD.

Conclusion
Our results show that multiple neurotransmission systems affect DA-induced ICD in patients with prolactinoma.
Lipoprotein Insulin Resistance Index: A Simple, Accurate Method for Assessing Insulin Resistance in South Asians
Authors: Fosam Andin , Bansal Rashika , Ramanathan Amrita , Sarcone Camila , Iyer Indiresha , Murthy Meena , Remaley Alan T , Muniyappa Ranganath 
Published: December 2022

Abstract

Context
Identification of insulin resistance (IR) in South Asians, who are at a higher risk for type 2 diabetes, is important. Lack of standardization of insulin assays limits the clinical use of insulin-based surrogate indices. The lipoprotein insulin resistance index (LP-IR), a metabolomic marker, reflects the lipoprotein abnormalities observed in IR. The reliability of the LP-IR index in South Asians is unknown.

Objective
We evaluated the predictive accuracy of LP-IR compared with other IR surrogate indices in South Asians.

Methods
In a cross-sectional study (n = 55), we used calibration model analysis to assess the ability of the LP-IR score and other simple surrogate indices (Homeostatic Model Assessment of Insulin Resistance, Quantitative insulin sensitivity check index, Adipose insulin resistance index, and Matsuda Index) to predict insulin sensitivity (SI) derived from the reference frequently sampled intravenous glucose tolerance test. LP-IR index was derived from lipoprotein particle concentrations and sizes measured by nuclear magnetic resonance spectroscopy. Predictive accuracy was determined by root mean squared error (RMSE) of prediction and leave-one-out cross-validation type RMSE of prediction (CVPE). The optimal cut-off of the LP-IR index was determined by the area under the receiver operating characteristic curve (AUROC) and the Youden index.

Results
The simple surrogate indices showed moderate correlations with SI (r = 0.53-0.69, P &lt; .0001). CVPE and RMSE were not different in any of the surrogate indices when compared with LP-IR. The AUROC was 0.77 (95% CI 0.64-0.89). The optimal cut-off for IR in South Asians was LP-IR &gt;48 (sensitivity: 75%, specificity: 70%).

Conclusion
The LP-IR index is a simple, accurate, and clinically useful test to assess IR in South Asians.
Predicting Lymph Node Metastases in Patients with Biopsy-Proven Ductal Carcinoma In Situ of the Breast: Development and Validation of the DCIS-met Model
Authors: Meurs Claudia J. C. , van Rosmalen Joost , Menke-Pluijmers Marian B. E. , Siesling Sabine , Westenend Pieter J. 
Published: December 2022

Abstract
Purpose
In patients with a biopsy-proven ductal carcinoma in situ (DCIS), axillary staging is frequently performed, but in hindsight often turns out to be superfluous. The aim of this observational study was to develop a prediction model for risk of lymph node metastasis in patients with a biopsy-proven DCIS.

Methods
Data were received from the Dutch Pathology Databank and the Netherlands Cancer Registry. The population-based cohort consisted of all biopsy-proven DCIS patients diagnosed in the Netherlands in 2011 and 2012. The prediction model was evaluated with the area under the curve (AUC) of the receiver operating characteristic, and a calibration plot and a decision curve analysis and was validated in a Dutch cohort of patients diagnosed in the period 2016–2019.

Results
Of 2892 biopsy-proven DCIS patients, 127 had metastasis (4.4%). Risk factors were younger age (OR = 0.97, 95% CI 0.95–0.99), DCIS not detected by screening (OR = 1.55, 95% CI 1.01–2.38), suspected invasive component at biopsy (OR = 1.86, 95% CI 1.01–3.41), palpable tumour (OR = 2.06, 95% CI 1.34–3.18), BI-RADS score 5 (OR = 2.41, 95% CI 1.53–3.78), intermediate-grade DCIS (OR = 3.01, 95% CI 1.27–7.15) and high-grade DCIS (OR = 3.20, 95% CI 1.36–7.54). For 24% (n = 708) of the patients, the predicted risk of lymph node metastasis was above 5%. Based on the decision curve analysis, the model had a net benefit for a predicted risk below 25%. The AUC was 0.745. Of the 2269 patients in the validation cohort, 53 (2.2%) had metastasis and the AUC was 0.741.

Conclusions
This DCIS-met model can support clinical decisions on axillary staging in patients with biopsy-proven DCIS.
Congenital myasthenic syndromes (CMS) a rare cause of uncommon fatigue
Authors: Lejman Jan , Panuciak Kinga , Nowicka Emilia , Mastalerczyk Angelika , Makowska Karolina , Obel Michał , Czyżak Kamila , Wiśniewski Wiktor 
Published: December 2022

Introduction and purpose:
Muscle weakness in newborns, infants and young children can be caused by disorders of the neuromuscular junction (NMJ). Congenital myasthenic syndromes (CMS) are a group of rare genetic diseases whose symptoms resemble the clinical picture of autoimmune myasthenia gravis. There are many mutations that can disrupt the neuromuscular transmission leading to pathology. The diagnosis of CMS is based on genetic testing. The aim of this study is to draw clinicians' attention to the symptoms and present current forms of CMS diagnosis and management.
State of knowledge:
An increasing number of genetic changes are associated with CMS pathology. They are divided, depending on the location in the NMJ of the encoded protein, into presynaptic, synaptic and postsynaptic. The most common disorder is the mutation of CHRNE, which is responsible for the expression of one of the subunits in the structure of the acetylcholine receptor. Regardless of the type of disease, the characteristic symptom is uncommon fatigue of skeletal muscles. It may present as ptosis of one or both eyelids or gait disturbance. The interview, laboratory tests and EMG are helpful in the diagnosis, but genetic tests play a key role. They can target specific mutations or cover the entire genome comprehensively. Currently used drugs alleviate the course of CMS by increasing the release of acetylcholine or increasing the concentration of acetylcholine in the synaptic cleft.
Conclusion:
Because of its rarity and variability, many CMS patients may be misdiagnosed. It is important to implement extensive genetic diagnostics and early implementation of treatment. There is a need for long-term studies of CMS cases and implementation of therapies targeted at specific mutations.
Hair loss after SARS-CoV2 Infection
Authors: Kuczyńska Beata , Czelej Magdalena , Gładysz Konrad , Gieroba Krzysztof , Szydłowski Marcin , Kłos Aleksander , Szydłowska Justyna , Żuchnik Olga , Król Olgierd , Kwiatkowski Piotr 
Published: December 2022

Introduction:Since the detection of SARS-CoV-2 in China, more than 3.8 million people have died. A big problem is the long-term effects and complications of this disease. The pathogenesis of these long-term effects is not fully known. Significant increases in pro-inflammatory cytokines have been observed among people with complications. Their dermatological manifestations are due to the presence of receptors for angiotensin-converting enzyme 2 in the skin and other tissues.
Aim of the study: Summary of current knowledge on the pathogenesis, diagnosis, treatment of hair loss after Covid-19.
Methods and materials: A review of the literature available in the PubMed database, using the following terms: “Hair loss after Covid”, “Tellgoen Effluvium covid”, “Alopecia areata covid”, “androgenetic alopecia covid”.
Results: The most commonly reported among the dermatological manifestations is hair loss, the predominant type of which is telogen alopecia, which involves a prolongation of the resting phase of the hair most likely due to an increase in pro-inflammatory cytokines and depletion of anticoagulant proteins, leading to microthrombosis. There has also been a significant increase in the incidence of alopecia areata, in the development of which, in addition to autoimmunity, psychological and physiological stress factors are also highly influential and are higher during the course of the disease including SARS-CoV2. Androgenetic alopecia results from excess androgens and increased sensitivity of hair follicles to them, transmembrane serine protease 2 facilitates the "entry" of the virus into the body by facilitating the binding of viral particles to ACE-2 receptors, which acts as a gateway.
Conclusion: Hair loss is not life-threatening however it has serious psychological and social implications, so it is very important to educate patients about the mechanism and treatment of this phenomenon.
Privacy protection methods of location services in big data
Authors: Liu Wenfeng , Wu Juanjuan , Xi Zhong 
Published: December 2022

Abstract
The rapid development of mobile communication technology not only brings convenience and fun to our life, but also brings a series of problems such as privacy disclosure. Therefore, it is very necessary to study the privacy protection method based on location service to strengthen the security of location privacy. The purpose of this work is to improve the security of location privacy and prevent the disclosure of user privacy by studying the characteristics of location services and privacy protection methods. This article first describes the characteristics of the important location privacy protection law, and then studies the structural characteristics and operation process of the location privacy protection law. This work evaluates the advantages and disadvantages of different methods, and finally compares the performance of several privacy protection algorithms through experimental analysis. Through the research of hiding space method, two-level cache method based on user grid, differential privacy protection method and experimental analysis of the algorithm, an effective privacy protection algorithm can be obtained. It can better protect the location privacy of users. For example, dual-active in the hidden space algorithm has the best privacy protection performance. Compared with other algorithms, the success rate of generating hidden space is increased by more than 10%, and the time of generating hidden space is shortened by about a quarter. The algorithm It has certain practical value and significance for use in the privacy protection of users.