bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design an Archetype to Predict the impact of diet and lifestyle interventions in autoimmune diseases using Deep Learning and Artificial Intelligence
Authors: Begum Abeda , Kumar Rajeev 
Published: March 2022

Abstract
Deep Learning Algorithms are used extensively for diagnosis and to predict various health factors in the healthcare system for better accuracy and precision. Due to recent developments in Artificial Intelligence, the prediction accuracy rate is high with Deep Learning models. Autoimmune diseases are about 80 different types; 8% of the global population is suffering from these conditions nowadays, and 3 quarters are women amongst these sufferers. Autoimmune diseases are chronic inflammatory diseases caused due to persistent inflammation; the traditional treatments result in various side effects and eventually damage the tissues and organs. Diet and lifestyle interventions help to relieve the disease symptoms, increase mobility, enhance wellbeing, and expedite treatment process. A healthy diet recovers the gut and reduces inflammation in the body which aids to relieve the symptoms of the disease, reducing pains, and increasing strength. Healthy lifestyle choices are beneficial for stress reduction to provide a positive environment for the body and mind to heal naturally. There is a lot of research yet to be done in this area based on Deep Learning techniques. This paper intends to find the impact of diet and lifestyle interventions in autoimmune diseases using Deep Learning algorithms for better understanding to individuals who are seeking help to lead a healthy life. WEKA open-source software tool is used in this article to create models based on Deep Learning techniques such as ANNs, CNNs, and RNNs. Datasets were downloaded from Centres for Disease Control and Prevention (National Center for Chronic Disease Prevention and Health Promotion).
A multicenter study of 1-year mortality and walking capacity after spinal fusion surgery for cervical fracture in elderly patients
Authors: Sasagawa Takeshi , Yokogawa Noriaki , Hayashi Hiroyuki , Tsuchiya Hiroyuki , Ando Kei , Nakashima Hiroaki , Segi Naoki , Watanabe Kota , Nori Satoshi , Takeda Kazuki , Furuya Takeo , Yunde Atsushi , Ikegami Shota , Uehara Masashi , Suzuki Hidenori , Imajo Yasuaki , Funayama Toru , Eto Fumihiko , Yamaji Akihiro , Hashimoto Ko , Onoda Yoshito , Kakutani Kenichiro , Kakiuchi Yuji , Suzuki Nobuyuki , Kato Kenji , Terashima Yoshinori , Hirota Ryosuke , Yamada Tomohiro , Hasegawa Tomohiko , Kawaguchi Kenichi , Haruta Yohei , Seki Shoji , Tonomura Hitoshi , Sakata Munehiro , Uei Hiroshi , Sawada Hirokatsu , Tominaga Hiroyuki , Tokumoto Hiroto , Kaito Takashi , Iizuka Yoichi , Takasawa Eiji , Oshima Yasushi , Terai Hidetomi , Tamai Koji , Otsuki Bungo , Miyazaki Masashi , Nakajima Hideaki , Nakanishi Kazuo , Misaki Kosuke , Inoue Gen , Kiyasu Katsuhito , Akeda Koji , Takegami Norihiko , Yoshii Toshitaka , Ishihara Masayuki , Okada Seiji , Aoki Yasuchika , Harimaya Katsumi , Murakami Hideki , Ishii Ken , Ohtori Seiji , Imagama Shiro , Kato Satoshi 
Published: March 2022

Abstract
Background: The 1-year mortality and functional prognoses of patients who received surgery for cervical trauma in the elderly remains unclear. The aim of this study is to investigate the rates of, and factors associated with mortality and the deterioration in walking capacity occurring 1 year after spinal fusion surgery for cervical fractures in patients 65 years of age or older.Methods: 313 patients aged 65 years or more with a traumatic cervical fracture who received spinal fusion surgery were enrolled. The patients were divided into a survival group and a mortality group, or a maintained walking capacity group and a deteriorated walking capacity group. We compared patients’ backgrounds, trauma, and surgical parameters between the two groups. To identify factors associated with mortality or a deteriorated walking capacity 1 year postoperatively, a multivariate logistic regression analysis was conducted.Results: One year postoperatively, the rate of mortality was 8%. A higher Charlson comorbidity index (CCI) score, a more severe the American Spinal Cord Injury Association impairment scale (AIS), and longer surgical time were identified as independent factors associated with an increase in 1-year mortality. The rate of deterioration in walking capacity between pre-trauma and 1 year postoperatively was 33%. A more severe AIS, lower total protein (TP), and lower hemoglobin (Hb) values were identified as independent factors associated with the increased risk of deteriorated walking capacity 1 year postoperatively.Conclusions: The 1-year rate of mortality after spinal fusion surgery for cervical fracture in patients 65 years of age or older was 8%, and its associated factors were a higher CCI score, a more severe AIS, and a longer surgical time. The rate of deterioration in walking capacity was 33%, and its associated factors were a more severe AIS, lower TP and Hb values.
Eco-evolutionary response of soil viral communities to land use changes
Authors: Liao Hu , Li Hu , Duan Chen-song , Zhou Xin-Yuan , Luo Qiu-Ping , An Xinli , Zhu Yong-guan , Su Jian-Qiang 
Published: March 2022

Abstract
Viruses are distributed across the globe, but the soil virome remained relatively understudied compared to the aquatic ecosystems. Land use changes are profoundly affecting the diversity of soil microbes that are vital for soil health, but the response of soil viral communities has not been systematically explored. Here we investigated the ecological patterns of soil viral communities across various land use types encompassing forest, agricultural, and urban soil. We recovered 59,626 viral populations (VPs) via size-fractioned viromic approach with additional mitomycin treatment to induce virus release from bacterial fraction. Significantly different profiles of viral communities were observed among land use types rather than geographic locations. Soil pH was one of the major determinants of viral community structures, and was strongly associated with the changes of in-silico predicted host ranges of soil VPs. Habitat disturbance and variation of soil moisture potentially contributed to the dynamics of lysogenic VPs. Microdiversity analysis implied diverse origins of the ubiquitous VPs across land use types, while, selection act on soil VPs, resulting in strong speciation of soil viral communities upon land use types. These findings provide mechanistic understandings of the ecology and evolution of soil viral communities and their associated ecosystem services in changing environments.
Development and validation of a quality of life measurement scale specific to Hereditary Hemorrhagic Telangiectasia: The QoL-HHT
Authors: LE Thi Thao Truc , MARTINENT Guillaume , DUPUIS-GIROD Sophie , PARROT Antoine , CONTIS Anne , RIVIERE Sophie , CHINET Thierry , GROBOST Vincent , ESPITIA Olivier , DUSSARDIER-GILBERT Brigitte , ALRIC Laurent , ARMENGOL Guillaume , MAILLARD Hélène , LEGUY-SEGUIN Vanessa , LEROY Sylvie , RONDEAU-LUTZ Murielle , LAVIGNE Christian , MOHAMED Shirine , CHAUSSAVOINE Laurent , MAGRO Pascal , SEGUIER Julie , KERJOUAN Mallorie , FOURDRINOY Sylvie 
Published: March 2022

Abstract
- BackgroundHereditary hemorrhagic telangiectasia (HHT) disease is a rare genetic disorder with symptoms and complications that can significantly affect patients’ daily lives. To date, no scale has been validated to assess the specific symptoms of this disease on the quality of life (QOL) of HHT patients. This makes it difficult for clinicians to accurately measure the quality of life of patients with HHT. The present study aims to develop and validate a QOL measurement tool specific to HHT disease: the QOL questionnaire in HHT (QoL-HHT).- MethodsA quantitative, non-interventional, multi-center study involving HHT patients in twenty French HHT expert centers was conducted. A calibration sample of 415 HHT patients and a validation sample of 228 HHT patients voluntarily participated in the study. Data were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Exploratory Structural Equation Modeling (ESEM) analyses, reliability analyses, and correlational analyses.- ResultsThe EFA, CFA and ESEM results allowed us to provide evidence of the factorial structure of a questionnaire composed of 24 items measuring 6 domains of QOL: Physical limitations, social relationships, concern about bleeding, relationship with the medical profession, experience of symptoms, and concern about the evolution of the disease. Cronbach's alpha coefficients (> 0.70) demonstrated reliable internal consistency of all the QoL-HHT scores (dimensions). The results of the test-retest provided further evidence of the reliability of the QOL-HHT scores over time. Correlational analyses provided evidence for the convergent validity of the QoL-HHT scores.- ConclusionsWe developed a simple and quick self-assessment tool to measure quality of life specific to HHT disease. This study demonstrated reliability and validity of our QoL-HHT scores. It is a very promising tool to evaluate the impact of HHT disease on all aspects of the quality of life of HHT patients in order to offer them individualized medico-psycho-social support.Trial registration: ClinicalTrials, NCT03695874. Registered 04 October 2018, https://www.clinicaltrials.gov/ct2/show/NCT03695874
Evaluating the diagnostic value of multi-detector brain CT angiography in diagnosing acute cerebral venous thrombosis
Authors: Abbasi Bita , Kahani Nadia , Layegh Parvaneh , Niroumand Shabnam , Akhavan Reza , Hamidi Ehsan 
Published: March 2022

Abstract
Background and PurposeCerebral venous sinus thrombosis (CVST) is a rare type of venous thromboembolism mostly affecting young adults. Despite improved imaging studies, the diagnosis is usually delayed by several days. An average diagnostic delay of seven days from the onset of symptoms is still reported for this condition, and it is crucial for radiologists to detect this potentially lethal condition in routine imaging studies. In this study we aimed to investigate the diagnostic value of multi-detector brain CTA in diagnosing acute CVT. Materials and MethodsWe searched our Picture Archiving and Communicating System (PACS) of our tertiary-level academic hospital between March 2016 and March 2019, and collected all patients for whom both contrast-enhanced MRV and brain CTA were acquired at the same admission. ResultsA total of 242 patients were found on our PACS database who met our criteria. In the blinded MDCTA evaluation, there was a sensitivity of 96.1%, specificity of 98.6% and accuracy of 98.3% for MDCTA in detecting CVST. ConclusionIn the emergency settings, and in centers in which MRI scanners are not available, MDCTA can be used instead of CE-MRV for diagnosis of CSVT with a good sensitivity and specificity.
Analysis for MBOAT Family Genes in Human Liver Hepatocellular Carcinoma
Authors: Wang MingHan , Han Junyuan , Wang Quanjun 
Published: March 2022

Abstract
Membrane-bound O-acyltransferases (MBOATs), a group of integral transmembrane enzymes that perform divergent functions which are attractive drug targets in cancer. 11 of MBOAT proteins (MBOAT1, MBOAT2, HHATL, GOAT, LPCAT3, MBOAT7, SOAT1, SOAT2, HHAT, DGAT1, PORCN) are located in the progression of various cancer types, especially in Liver Hepatocellular Carcinoma. Although these proteins are important drug targets, the diverse expression patterns and prognostic values have yet to be analyzed. Here we discussed the transcriptional and survival data of 11 of MBOAT proteins in patients with Hepatocellular Carcinoma from the cBioPortal databases, Gene Expression Proﬁling Interactive Analysis (GEPIA), Oncomine, and Kaplan-Meier Plotter. We found that the expression levels of MBOAT2 and 7 were correlated with advanced tumor stage. Survival analysis using the Kaplan- Meier Plotter database revealed that the high transcription levels of MBOAT1, 7, SOAT1 and PORCN were associated with low relapse-free survival in all of the patients with Liver Hepatocellular Carcinoma. Conversely, high HHATL levels predicted high relapse-free survival in these patients. This study implied that MBOAT1, 7, SOAT1 and PORCN are potential targets of precision therapy for patients with Liver Hepatocellular Carcinoma and that HHATL are new biomarkers for the prognosis of Liver Hepatocellular Carcinoma.
M1 macrophage-derived exosomes inhibit myocardial regeneration.
Authors: He Xiaoqing , Chen Jing , Shi Jian , Deng Yichao , Liu Weihua , Liu Shaojun , Liu Shiming 
Published: March 2022

Abstract
M1 macrophages inhibit cardiac repair, but their role in myocardial regeneration remains unclear. In this study, the underlying mechanisms of M1 macrophage-derived exosomes (M1-Exos) in cardiomyocyte proliferation was investigated. Mouse RAW264.7 macrophages were cultured and induced into M1 macrophages. The exosomes from the culture media of M1 macrophages were isolated, and results showed that M1-Exos could inhibit the proliferation of cardiomyocytes. During M1-Exos, miR-155 was highly expressed and delivered to the cardiomyocytes. Furthermore, miR-155 inhibited the proliferation of cardiomyocytes and antagonized the pro-proliferation effect of IL-6 via inhibition of its novel target gene IL-6R. M1-Exos inhibited cardiomyocyte proliferation and cardiac repair by delivering miR-155, which targeted IL-6R, and inhibiting the IL-6R/Jak/Stat signaling pathway. This study provides new insights and potential treatment strategies for the regulation of myocardial regeneration and cardiac repair by M1-Exos.
Low Profile Asymmetrical Slotted UWB Antenna for WBAN Applications
Authors: JAYAKUMAR S , Mohanbabu G. 
Published: March 2022

Abstract
In this article a low profile asymmetrical slotted Ultra Wide Band (UWB) antenna is proposed for Wireless Body Area Networks (WBANs) applications. The antenna was fabricated using Printed Circuit Boards (PCBs). An improved radiation pattern was obtained with an optimized patch shape of the antenna that broadens the bandwidth and lowers the antenna’s profile. In frequency ranges from 2.50 GHz to 10.97 GHz simulation as well as measured results show that the reflection coefficient (S11) of the antenna is below -10 dB and increased impedance bandwidth of 126%. Furthermore, the impact of the proposed antenna has a negligible effect on the human membrane. The low-profile UWB antenna's time-domain behavior is investigated, and the results show that it is capable of transmitting and receiving pulse signals.
Stroke disconnectome decodes reading networks
Authors: Forkel Stephanie , Labache Loic , Nachev Parashkev , de Schotten Michel Thiebaut , Hesling Isabelle 
Published: March 2022

Abstract
Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict the typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left inferior parietal and the three temporal and occipital gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience.
The role of genetic polymorphism in predictive model of ATDH
Authors: Zhang Jingwei , Zhou Wei , Wang Zhenyang , Luo Ping , Xiang Wang , Liang Xiao , Yuan Jinyan , Zhou Yi , Deng Fei 
Published: March 2022

Abstract
BACKGROUND: To develop a predictive model for hepatotoxicity due to antituberculosis drugs using a machine learning approach combining general clinical features of the electronic medical record, laboratory indications and genetic features of key genes in the PXR/ALAS1/FOXO1 axis. METHODS: Using the occurrence of ATDH as the outcome variable, the data were screened for features and model construction based on general clinical features and laboratory test indications, combined with single nucleotide polymorphism characteristics of PXR, FOXO1 and ALAS1 genes, combined with Lasso regression and logistic regression to evaluate the model's goodness of fit, predictive efficacy, discrimination and consistency, and used clinical decision Curve analysis was used to assess the clinical applicability of the models. RESULTS: The best model had a discriminant efficacy C-index of 0.8164, sensitivity of 34.25%, specificity of 97.99%, positive predictive value of 78.13%, negative predictive value of 87.69%, consistency test Sp=0.896, maximum bias Emax=0.147, and mean bias Eave=0.017. In the validation set performance was close. The clinical decision curve shows the clinical applicability of the prediction model when the prediction risk threshold is between 0.1 and 0.8. CONCLUSION: The ATDH prediction model was constructed using a machine learning approach, combining general characteristics of the study population, laboratory indications and SNP features of PXR and FOXO1 genes with good fit and some predictive value, and has potential and value for clinical application.
TidyMass: An Object-oriented Reproducible Analysis Framework for LC-MS Data
Authors: Snyder Michael , Shen Xiaotao , Yan Hong , Wang Chuchu , Gao Peng , Johnson Caroline 
Published: March 2022

Abstract
Reproducibility and transparency have been longstanding but significant problems for the metabolomics field. Here, we present the tidyMass project (https://www.tidymass.org/), a comprehensive computational framework that can achieve the shareable and reproducible workflow needs of data processing and analysis for LC-MS-based untargeted metabolomics. TidyMass was designed based on the following strategies to address the limitations of current tools: 1) Cross-platform utility. TidyMass can be installed on all platforms; 2) Uniformity, shareability, traceability, and reproducibility. A uniform data format has been developed, specifically designed to store and manage processed metabolomics data and processing parameters, making it possible to trace the prior analysis steps and parameters; 3) Flexibility and extensibility. The modular architecture makes tidyMass a highly flexible and extensible tool, so other users can improve it and integrate it with their own pipeline easily.
Myotubularin-related phosphatase 3 promotes invasion and metastasis by repressing autophagy of colorectal cancer cells
Authors: Zheng Bo’an , Wu Weiding , Xu Xiaodong , Jing Yuanming , Hu Xinye , Zhou Weike , Zhang Jungang , Jia Xiaoyan , Chen Bingchen , Guo Yang , Chai Rui 
Published: March 2022

Abstract
With the development of modern society, human living standards have improved substantiallythus altering their lifestyles, particularly eating habits. These changes haveresulted in an increased incidence of colorectal cancer (CRC) in recent years. More than one million new cases of CRC are diagnosed worldwide and more than half a million deaths occur due to CRC, each year, making CRC the main cause of cancer-related mortality. In this study, we explored the role of myosin-related phosphatase 3 (MTMR3) in the invasion and metastasis of CRC by transfecting the human CRC cell line, HCT116 cells, with lentivirus-mediated short interfering RNA. A wound healing assay was performed to evaluate the effect of MTMR3 knockdown on cell migration ability. The effect of MTMR3 knockdown on the endothelial-mesenchymal transition and cell apoptosis was evaluated by western blot analysis. Our results indicate that knockdown MTMR3 significantly reduced the invasion and metastatic ability of HCT116 cells and promoted cell autophagy (p < 0.05).These results demonstrate that silencing of MTMR3 shows potential as an effective treatment for CRC.
Potential role of tea drinking in preventing hyperuricemia in rats: biochemical and molecular evidence
Authors: Li Hui , Sang Siyao , Wang Lufei , Liang Taotao , Su Mingjie 
Published: March 2022

Abstract
Background Lifestyle and diet play a significant role in hyperuricemia. Accumulating evidence indicates that tea consumption is associated with hyperuricemia and the risk of gout. However, diverse compounds in different types of tea make it quite difficult to find out the relevant molecular mechanism. Here, we compared the effects of six types of tea on hyperuricemia induced by potassium oxonate (PO) and hypoxanthine in rats and investigated possible underlying mechanisms. Methods Rats were randomly assigned into ten groups: control group, hyperuricemia model group, benzbromarone positive control group, traditional Chinese Medicine Simiao San positive control group, green tea, yellow tea, black tea, white tea, red tea, and cyan tea treatment groups. After 21 days, uric acid ( UA ), xanthine oxidase ( XOD ), blood urea nitrogen ( BUN ), and creatinine ( CRE ) were assessed. By enzyme-linked immunosorbent assay, serum levels of interleukin-1β. By hematoxylin-eosin staining and immunohistochemistry, liver and kidney injury were measured. Results The levels of UA, CRE, and BUN in the treatment group were decreased to extent degrees. There was a significant reduction of UA, CRE, BUN levels for yellow tea compared to the positive control drugs. Yellow tea suppressed the XOD activity to lessen hepatic and kidney injury. Network pharmacology and untargeted metabolomics indicated that ten yellow tea bioactive ingredients and 35 targets were responsible for preventing hyperuricemia mediated by 94 signaling pathways, such as IL-1β and TNF. Conclusion These findings indicate that green tea cannot reduce the serum uric acid level of hyperuricemic rats. Yellow tea can significantly improve hyperuricemia by regulating inflammatory response, autophagy, and apoptosis. This study provides a potential candidate for the treatment of hyperuricemia and a basis for selecting tea for patients with hyperuricemia.
Theoretical Investigation and Reconsideration of Intramolecular Proton-Transfer-Induced the Twisted Charge-Transfer for the Fluorescent Sensor to Detect the Aluminum Ion
Authors: Liu Xiumin , Zhang Hengwei , Liu Sen , Wang Yi , Zhang Peng 
Published: March 2022

Abstract
A Schiff base compound 6-amino-5-(((2-hydroxynaphthalen-1-yl)methylene)amino)-2-mercaptopyrimidin-4-ol (AHM) in acetonitrile solvent is found to show “OFF-ON type” mode upon addition of Al3+ ion and successfully applied for selective recognition of Al3+ ion. In this work, the reconsideration of excited state intramolecular proton transfer (ESIPT) and twisted intramolecular charge transfer (TICT) have been explored in detail based on density functional theory (DFT) and time-dependent density functional theory (TD-DFT) methods. In the absence of Al3+, the lone pair electrons are transferred from –C = N to –OH forming a hydrogen-bonding configuration, and AHM shows weak fluorescence. When AHM is coordinate with metal ion, the TICT state is eliminated, and emission is significantly enhanced. Thus, in this paper, the origination of the non-emissive behavior of AHM has been explained in detail. The frontier molecular orbitals (MOs) and hole-electrons are used to analyze the charge distribution, providing strong evidence for the possibility of ESIPT and TICT processes occurring.