bluuebunny/crossref_metadata_2025_split huggingface dataset:
Production and the characterization of avian crypt-villus enteroids and the effect of chemicals
Authors: Acharya Mohan , Arsi Komala , Donoghue Annie , Liyanage Rohana , Rath Narayan C 
Published: March 2020

Abstract
Background: Three-dimensional models of cell culture such as organoids and mini organs accord better advantage over regular cell culture because of their ability to simulate organ functions hence, used for disease modeling, metabolic research, and the development of therapeutics strategies. However, most advances in this area are limited to mammalian species with little progress in others such as poultry where it can be deployed to study problems of agricultural importance. In the course of enterocyte culture in chicken, we observed that intestinal mucosal villus-crypts self-repair and form spheroid-like structures which appear to be useful as ex vivo models to study enteric physiology and diseases. Results: The villus-crypts harvested from chicken intestinal mucosa were cultured to generate enteroids, purified by filtration then re cultured with different chemicals and growth factors to assess their response based on their morphological dispositions. Histochemical analyses using marker antibodies and probes showed the enteroids consisting different cell types such as epithelial, goblet, and enteroendocrine cells typical to villi and retain functional characteristics of intestinal mucosa. Conclusions: We present a simple procedure to generate avian crypt-villous enteroids containing different cell types. Because the absorptive cells are functionally positioned outwards, similar to the luminal enterocytes, the cells have better advantages to interact with the factors present in the culture medium. Thus, the enteroids have the potential to study the physiology, metabolism, and pathology of the intestinal villi and can be useful for preliminary screenings of the factors that may affect gut health in a cost-effective manner and reduce the use of live animals.
Modulation of gut microbiota through nutritional interventions in Behçet's syndrome patients (the MAMBA study): study protocol for a randomized controlled trial
Authors: PAGLIAI Giuditta , DINU Monica , FIORILLO Claudia , BECATTI Matteo , TURRONI Silvia , EMMI Giacomo , SOFI Francesco 
Published: March 2020

Abstract
Background: Behçet's syndrome (BS) is a systemic inflammatory disorder of unknown etiology, characterized by a wide range of potential clinical manifestations. Recent evidences suggest that the gut microbiota (GM) in BS shows low biodiversity with a significant depletion in butyrate producers. The aim of the present project is to investigate whether a dietary intervention could ameliorate the clinical manifestations and modulate the GM of individuals with BS. Methods: This is a randomized, open, cross-over study involving 90 BS individuals who will be randomized to follow a 3-months dietary profile with either: lacto-ovo-vegetarian diet (VD), Mediterranean diet (MD) or Mediterranean diet supplemented with butyrate (MD-Bt). The VD will contain inulin and resistant starch-rich foods, eggs and dairy, in addition to plant-based food, but will not contain meat, poultry or fish. The MD will contain all food categories and will provide 2 portions per week of fish and 3 portions per week of fresh and processed meat. The MD-Bt will be similar to the MD but supplemented with 1.8 g/day of oral butyrate. The three different dietary patterns will be isocaloric and related to participants’ nutritional requirements. Anthropometric measurements, body composition, blood and fecal samples will be obtained from each participant at the beginning and at the end of each intervention phase. The primary outcomes will be represented by the change from baseline of the BS gastrointestinal and systemic symptoms. Changes from baseline of GM composition, SCFA production, inflammatory and antioxidant profile will be considered as secondary outcomes. Discussion: BS is a rare disease, and, actually, not all the available treatments are target therapies. A supportive treatment based on dietary and lifestyle issues, able to restore immune system homeostasis, could have a high impact on costs sustainability for the treatment of such a chronic and disabling inflammatory condition.
Is menopause still evolving? Evidence from a longitudinal study of multiethnic populations and its relevance to women’s health
Authors: Chan Shirley , Gomes Alyssa , Singh Rama Shankar 
Published: March 2020

Abstract
Background: To reflect on the impact of changing patterns of delayed marriage and reproduction and to seek evidence as to whether menopause is still evolving, characteristics of the menopause transition were investigated within and between ethnic populations in this study. Methods: A cross-sectional analysis was conducted using data on 747 middle-aged women obtained from the Study of Women’s Health Across the Nation (SWAN) from 1996 to 2008. The ethnic groups included: Afro-American, Chinese, Japanese, Caucasian, and Hispanic. Perimenopause age and duration, menopause age, and hormonal indicators of menopause were examined across five ethnicities. Results: We found a similar window of menopause age within populations, but no significant difference in perimenopause and menopause age between populations. The rate of increase of follicle-stimulating hormone and testosterone differed significantly in Hispanics and African-Americans during the menopause transition period. Conclusions: The broad window of variation in age at menopause within the population and the absence of significant differences between populations, in combination with population variation in menopause symptoms, suggest that menopause is a relatively recently evolved and still evolving trait. Under the mate choice theory of menopause, menopause is the result of the accumulation of infertility mutations in older women due to men’s preference for younger mates. We propose a shifting mate choice-shifting menopause model which posits that, as the age of mate choice/marriage shifts to older ages, so will the age at menopause, and that menopause is a transient phase of female fertility; it can de-evolve, be delayed, if not disappear completely. Integrated longitudinal menopausal studies linked with genomics and hormonal studies on diverse ethnic populations can provide valuable information bearing on women’s health and personalized medicine.
Three monthly doses of 60 mg/kg praziquantel for Schistosoma haematobium infection is a safe and effective treatment regimen.
Authors: Darko Samuel Nkansah , Hanson Henry , Ankrah Sampson Twumasi , Baffour Sandra , Adjei-Kusi Priscilla , Yar Denis , Owusu-Dabo Ellis 
Published: March 2020

Abstract
Background Praziquantel (PZQ) is the standard treatment for Schistosomiasis in sub-Saharan Africa. However, there is evidence suggesting praziquantel treatment failure in Schistosome infections with associated potential renal impairment. The objective of this study was to determine the effect of three monthly doses of 60 mg/kg/day PZQ on schistosome egg count, liver and renal function during the treatment of urinary schistosomiasis in Ghana. Methods A nested case-control study was designed from a cohort screened for schistosomiasis; 28 schistosomiasis positive cases by microscopy matched with 53 healthy controls by age and gender. The study population was urban dwellers from the Asokwa sub-metropolitan area, Kumasi in Ghana. Participants were within the age range of 6 to 30 years. We assessed Schistosoma haematobium egg counts in urine and its associated impact on liver and renal function at baseline, treatment and post-treatment phases using serum. Results Of the 28 cases and 53 controls, 78.6% and (81.1% were males respectively. Globulin levels before treatment was higher in cases [36.7 (32.8, 40.1) vrs 30.5 (22.4, 33.8) , p=0.005] at pre-treatment but not at post-treatment [35.8 (31.2, 39.1)vrs 37.4 (29.7, 43.0), p= 0.767]. Estimated cure rate was 42.9%, 46.4% and 96.4% after first, second and third dose respectively. Schistosome egg counts dropped significantly (p= 0.001) from before second dose to post-treatment. Similarly, levels of alanine aminotransferase (p=0.001), aspartate aminotransferase (p=0.028) and gamma glutamyl transferase (p=0.001) significantly declined towards post-treatment. Estimated glomerular filtration rate significantly improved from before second dose to post-treatment using both the Chronic Kidney Disease Epidemiology Program (p=0.001) and 4-variable Modification of Diet in Renal Disease (p=0.002) equations. Conclusion Treatment of urinary Schistosoma hematobium infections with a repeated high monthly dose of 60 mg/kg of praziquantel for 3 months is safe and effective.
Performance of Diffusion and Perfusion MRI in Evaluating Primary Central Nervous System Lymphomas of Different Locations
Authors: Xing Zhen , Kang Nannan , Lin Yu , Zhou Xiaofang , Xiao Zebin , Cao Dairong 
Published: March 2020

Abstract
Background: Diffusion and perfusion MRI can invasively define physical properties and angiogenic features of tumors, and guide the individual treatment. The purpose of this study was to investigate whether the diffusion and perfusion MRI parameters of primary central nervous system lymphomas (PCNSLs) are related to the tumor locations.Methods: We retrospectively reviewed the diffusion, perfusion, and conventional MRI of 68 patients with PCNSLs at different locations (group 1: cortical gray matter, group 2: white matter, group 3: deep gray matter). Relative maximum cerebral blood volume (rCBVmax) from perfusion MRI, minimum apparent diffusion coefficients (ADCmin) from DWI of each group were calculated and compared by one-way ANOVA test. In addition, we compared the mean apparent diffusion coefficients (ADCmean) in three different regions of control group.Results: The rCBVmax of PCNSLs yielded the lowest value in the white matter group, and the highest value in the cortical gray matter group (P < 0.001). However, the ADCmin of each subgroup was not statistically different. The ADCmean of each subgroup in control group was not statistically different.Conclusion: Our study confirms that rCBVmax of PCNSLs are related to the tumor location, and provide simple but effective information for guiding the clinical practice of PCNSLs.
Changes in Serum Markers Failed to Predict Persistent Infection after Two-stage Exchange Arthroplasty
Authors: Jiang Qiao , Yang Xue , Xu Chi , Chai Wei , Zhou Yong-gang , Chen Jiying 
Published: March 2020

Abstract
Background Two-stage exchange arthroplasty is a viable choice for prosthetic joint infection (PJI). After removing the infected prosthesis and implanting an antibiotic-loaded spacer in the first stage, the proper timing of reimplantation is crucial for successful treatment. To date, there is no gold standard to evaluate the eradication of PJI before reimplantation. A combination of serum indicators, synovial blood white cell (WBC) counts, culture results, intraoperative histology, and clinical symptoms is wildly used to guide the timing of reimplantation. However, the proper timing of reimplantation is not clearly defined. We investigated whether: (1) serum indicators, which included the erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), interleukin-6 (IL-6) and fibrinogen, were useful indicators for predicting the failure of reimplantation; and (2) primary culture results were related to serum marker changes? Method A retrospective review of 109 patients treated with two-stage exchange arthroplasty from 2014 to 2017 was conducted. The inclusion criteria included the following: 1. a minimum of a 2-year follow-up or failure of treatment within this period; 2. complete record of serum biomarkers; and 3. met the Musculoskeletal Infection Society criteria (MSIS) when diagnosed PJI. Serum biomarkers and organism results at the onset of PJI diagnosis and reimplantation were reviewed. Treatment success was defined according to the Delphi consensus criteria with a minimum follow-up of 2 years, and the receiver operator characteristic (ROC) was used to examine the usefulness of changes in four serum markers for predicting failure. Results When predicting persistent PJI, the area under the ROC curves (AUC) demonstrated that both the percent change and value change of serum markers were poor indicators. When comparing exact values of serum markers during reimplantation, the values of CRP and fibrinogen were significant higher in reinfection group. Besides, initial causative organism didn’t influence the normalize of serum markers. Conclusion Either the value change or percent change of serum markers were not useful for determining the timing of reimplantation, and initial causative organism didn’t influence the normalize of serum markers. Persistent PJI after TJA was still difficult to diagnose.
Spatial variation in the frequency of knockdown resistance genotypes in Florida Aedes aegypti populations
Authors: Mundis Stephanie Jane , Estep Alden S. , Waits Christy M. , Ryan Sadie J. 
Published: March 2020

Abstract
Background
The development of insecticide resistance in disease-vectoring mosquito species can lead to vector control failure and disease resurgence. However, insecticide applications remain an essential public health intervention. In Florida, insecticide resistance in Aedes aegypti , an anthropophilic mosquito species capable of transmitting dengue, chikungunya, and Zika virus, is a major concern. Understanding the location, scale, and driving factors of insecticide resistance can enhance the ability of vector control organizations to target populations effectively.
Methods
We used previously collected data on frequencies of mutations that confer resistance to commonly used pyrethroid insecticides in Aedes aegypti specimens from 62 sites distributed across 18 counties in Florida. To determine the scale of clustering for the most resistant variant, we used a Ripley’s K function. We also used a spatial scanning statistic technique to identify the locations of clusters where higher than expected frequencies of susceptible or resistant mosquitoes occurred. We then tested for associations between landscape, demographic, and insecticide-use factors using a beta regression modelling approach and evaluated the effect of spatial lag and spatial error terms on overall explanatory power of these models.
Results
The scale at which maximum clustering of the most resistant variant occurs is approximately 20 kilometers. We identified statistically significant clusters of genotypes associated with resistancein several coastal cities, although some of these clusters were near significant clusters of susceptible mosquitoes, indicating selection pressures vary at the local scale. Vegetation density, distance from roads, and pyrethroid-use by vector control districts were consistently significant predictors of knockdown resistance genotype frequency in the top-performing beta regression models, although pyrethroid-use surprisingly had a negatively associated with resistance. The incorporation of spatial lags resulted in improvements to the fit and explanatory power of the models, indicating an underlying diffusion process likely explains some of the spatial patterns observed.
Conclusions
The genetic mutations that confer resistance to pyrethroids in Aedes aegpyti mosquitoes in Florida exhibit spatial autocorrelation and patterns that can be partially explained by landscape and insecticide-use factors. Further work at local scales should be able to identify the mechanisms by which these variables influence selection for alleles associated with resistance.
Proteome Characteristics of Liver Tissue from Patients with Parenteral Nutrition-Associated Liver Disease
Authors: Mamtawla Gulsudum , Tian Feng , Sun Haifeng , Zhang Li , Gao Xuejin , Xue Bin , Wang Xinying 
Published: March 2020

Abstract
Background

Parenteral nutrition (PN)-associated liver disease (PNALD) is a common and life-threatening complication in patients receiving PN. However, its definitive etiology is not yet clear. Therefore, performed proteomic analyses of human liver tissue to explore the same.

Methods

Liver tissue was derived and compared across selected patients with (n = 3) /without (n = 4) PNALD via isobaric Tag for Relative and Absolute Quantitation (iTRAQ)-based quantitative proteomics. Bioinformatics analysis was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases to explore the mechanisms of PNALD based on differentially expressed proteins (DEPs). The essential proteins that were differentially expressed between the two groups were explored and verified by western blotting.

Results

A total of 112 proteins were found to be differentially expressed, of which 73 were down-regulated, and 39 were up-regulated in the PNALD group. Bioinformatics analysis showed DEPs to be associated with mitochondrial oxidative phosphorylation (mainly involved in mitochondrial respiratory chain complex I assembly), hepatic glycolipid metabolism (involved primarily in glycogen formation and gluconeogenesis), and oxidative stress (mainly involved in antioxidant change).

Conclusion

Overall, our results indicated that mitochondrial energy metabolism impairment, hepatic glycolipid metabolism disorder, and excessive oxidative stress injury might explain the comprehensive mechanism underlying PNALD. Moreover, we have provided multiple potential targets for further exploring the PNALD mechanism.
Increased circulating total bile acid levels were associated with organ failure in patients with acute pancreatitis
Authors: Li Weiqin , Xie Xiaochun , Dong Jie , Lu Guotao , Gao Kun , Li Xiaoyao , Mao Wenjian , Chen Faxi , Tong Zhihui , Li Baiqiang 
Published: March 2020

Abstract
Background: Recent studies have shown that bile acids (BAs) are closely related to metabolic and inflammatory diseases. Our study aimed to investigate whether circulating total bile acid (TBA) levels were associated with the severity of acute pancreatitis (AP).Methods: We retrospectively collected data on patients diagnosed with AP in a tertiary center from 01 January 2014 to 31 December 2016. The highest TBA value during the first 1,2,3,5,7 days after admission was determined as D1, D2, D3, D5, D7 TBAmax. Patients were divided into the high TBA (HTBA) group and the normal TBA (NTBA) group according to whether the TBAmax was ≥10μmol/L. The prognosis and complications, including death, organ failure (OF) and pancreatic necrosis, were compared between the two groups. Logistic regression analysis and receiving operating characteristic (ROC) curve were used to evaluate the relationship between circulating TBA and organ failure in AP patients.Results: Through stratified analysis of each time period, we found that the incidence of OF in the HTBA group was significantly higher than that in the NTBA group, and the AP severity classification in the HTBA group was more serious than that in the NTBA group. In addition, according to the D7 TBAmax values, the pancreatic necrosis rate, percutaneous catheter drainage (PCD) rate and mortality in the HTBA group were higher than those in the NTBA group. Multivariate regression analysis showed that HTBA (odds ratio (OR), 4.894; P = 0.002) was an independent risk factor for AP complicated with OF, which was verified in the grouping based on D7 TBAmax. ROC analysis revealed that a circulating D7 TBAmax cutoff point of 6.450 umol/L had optimal predictive value for the development of OF in AP patients with an area under the curve of the ROC curve (AUCROC) of 0.777. Conclusions: The increase of circulating TBA in early stage of AP is independently related to organ failure, which indicates the adverse prognosis of AP patients.
DLI-IT: A Deep Learning Approach to Drug Label Identification Through Image and Text Embedding
Authors: Liu Xiangwen , Meehan Joe , Tong Weida , Wu Leihong , Xu Xiaowei , Xu Joshua 
Published: March 2020

Abstract
[Background] Drug label, or packaging insert play a significant role in all the operations from production through drug distribution channels to the end consumer. Image of the label also called Display Panel or label could be used to identify illegal, illicit, unapproved and potentially dangerous drugs. Due to the time-consuming process and high labor cost of investigation, an artificial intelligence-based deep learning model is necessary for fast and accurate identification of the drugs. [Methods] In addition to image-based identification technology, we take advantages of rich text information on the pharmaceutical package insert of drug label images. In this study, we developed the Drug Label Identification through Image and Text embedding model (DLI-IT) to model text-based patterns of historical data for detection of suspicious drugs. In DLI-IT, we first trained a Connectionist Text Proposal Network (CTPN) to crop the raw image into sub-images based on the text. The texts from the cropped sub-images are recognized independently through the Tesseract OCR Engine and combined as one document for each raw image. Finally, we applied universal sentence embedding to transform these documents into vectors and find the most similar reference images to the test image through the cosine similarity. [Results] We trained the DLI-IT model on 1749 opioid and 2365 non-opioid drug label images. The model was then tested on 300 external opioid drug label images, the result demonstrated our model achieves up-to 88% of the precision in drug label identification, which outperforms previous image-based or text-based identification method by up-to 35% improvement. [Conclusion] To conclude, by combining Image and Text embedding analysis under deep learning framework, our DLI-IT approach achieved a competitive performance in advancing drug label identification.
Minocycline prevents and repairs the skin disorder associated with afatinib, one of the epidermal growth factor receptor-tyrosine kinase inhibitors for non-small cell lung cancer
Authors: Sano Kazumi , Nakadate Kazuhiko , Hanada Kazuhiko 
Published: March 2020

Abstract
Abstract
Background
While epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) exert a breakthrough effect, the incidence of skin disorders as a side effect has significantly reduced patients’ quality of life.
Objective
This study aimed to develop a treatment for inflammatory ulcers as one of the side effects of afatinib (Geotrif®), a second-generation EGFR-TKI, and established a skin disorder mouse model to investigate the protective effect of minocycline.
Methods
First, under inhalation anesthesia with isoflurane, the back of a male ddy mouse was shaved, and afatinib petrolatum was applied alone or in combination with minocycline to observe the state of the skin and measure transepidermal water transpiration (TEWL). Next, afatinib was administered orally to mice, and minocycline petrolatum was applied to observe whether the skin disorder was prevented and its effect on repair of the skin disorder.
Results
Skin injury occurred on the back of the mouse following afatinib (1 mg/g in petrolatum) application, and scab formation was observed. Application of minocycline prevented and improved the skin disorder caused by afatinib. When the minocycline-petrolatum mixture was applied to the mouse that developed the skin disorder, a significant improvement in TEWL was observed, and skin repair was observed macroscopically.
Discussion
These results suggest that minocycline petrolatum applied locally prevents and repairs afatinib-induced skin disorders of non-small cell lung cancer patients. Histological examination of skin has provided insights into the mechanism of the occurrence of afatinib-related skin disorder and suggested the efficacy of minocycline topical application in clinical practice.