bluuebunny/crossref_metadata_2025_split huggingface dataset:
A circular RNA derived from PLXNB2 as a valuable predictor of the prognosis of patients with acute myeloid leukaemia
Authors: Lin Leilei , Wang Yu , Bian Sicheng , Sun Lili , Guo Zhibo , Kong Desheng , Zhao Linlin , Guo Dan , Li Qi , Wu Min , Wang Yuhuang , Wang Yuying , Li Yinghua 
Published: March 2021

Abstract
Background
As a common haematological malignancy, acute myeloid leukaemia (AML), particularly with extramedullary infiltration (EMI), often results in a high mortality rate and poor prognosis. Circular RNAs (circRNAs) regulate biological and pathogenic processes, suggesting a potential role in AML. We have previously described the overall alterations in circRNAs and their regulatory networks between patients with AML presenting with and without EMI. This study aims to find new prognostic and therapeutic targets potentially associated with AML.

Methods
qRT-PCR was performed on samples from 40 patients with AML and 15 healthy controls. The possibility of using circPLXNB2 (circRNA derived from PLXNB2) as a diagnostic and prognostic biomarker for AML was analysed with multiple statistical methods. In vitro, the function of circPLXNB2 was studied by lentivirus transfection, CCK-8 assays, flow cytometry, and Transwell experiments. Western blotting and qRT-PCR were performed to detect the expression of related proteins and genes. The distribution of circPLXNB2 in cells was observed using RNA fluorescence in situ hybridization (RNA-FISH). We also investigated the role of circPLXNB2 by establishing AML xenograft models in NOD/SCID mice.

Results
By analysing the results of qRT-PCR detection of clinical samples, the expression of the circPLXNB2 and PLXNB2 mRNAs were significantly increased in patients with AML, more specifically in patients with AML presenting with EMI. High circPLXNB2 expression was associated with an obviously shorter overall survival and leukaemia-free survival of patients with AML. The circPLXNB2 expression was positively correlated with PLXNB2 mRNA expression, as evidenced by Pearson’s correlation analysis. RNA-FISH revealed that circPLXNB2 is mainly located in the nucleus. In vitro and in vivo, circPLXNB2 promoted cell proliferation and migration and inhibited apoptosis. Notably, circPLXNB2 also increased the expression of PLXNB2, BCL2 and cyclin D1, and reduced the expression of BAX.

Conclusion
In summary, we validated the high expression of circPLXNB2 and PLXNB2 in patients with AML. Elevated circPLXNB2 levels were associated with poor clinical outcomes in patients with AML. Importantly, circPLXNB2 accelerated tumour growth and progression, possibly by regulating PLXNB2 expression. Our study highlights the potential of circPLXNB2 as a new prognostic predictor and therapeutic target for AML in the future.
Homegarden agroecosystems managed by Salar people on Qinghai-Tibet Plateau
Authors: Zhu Mingjing , Luo Binsheng , La Ben , Chen Ruijie , Liu Fenggui , Long Chunlin 
Published: March 2021

Abstract
Background
Salar is a Turkic-speaking Islamic ethnic group in China living mainly in Xunhua Salar Autonomous County (Xunhua or Xunhua County), Qinghai-Tibet Plateau. Salar people are skilled in horticulture and their homegarden (HG) management. They are regarded as the first people on the Qinghai-Tibet Plateau to practice horticulture, especially manage their HGs, traditional farming systems, and supplementary food production systems. Traditional knowledge of Salar people associated with their HGs always contributes significantly to the local livelihood, food security, ornamental value, and biodiversity conservation. The cultivation of different plants in HGs for self-sufficiency has a long tradition in China’s rural areas, especially in some mountainous areas. However, Salar traditional HGs have not been described. The present paper aims to report the features of Salar HGs mostly based on agrobiodiversity and its ecosystem services.

Methods
The methods used in this work included semi-structured interviews and participatory observation. A total of 60 households in three townships, 9 villages were surveyed. There are 4–12 family members in each household, aged from 20 to 86 years old. The homestead size is between 200 and 1200 m2. Plant species cultivated in Salar HGs were identified according to Flora of China. Based on a comprehensive survey of Salar HGs and related to background data, we identified and characterized the most important services and functions provided by Salar HGs.

Results
According to primary production systems, there are 4 different types of Salar HGs, including ornamental focus, product focus, dual-purpose and multi-purpose. In total, 108 (excluding weeds and bonsai) plant species were recorded in Salar HGs, within 43 plant families. The most important and frequently used plants are Rosa chinensis, Armeniaca vulgar, Prunus salicina, and Ziziphus jujuba. About 4 to 32 plant species were recorded in each homegarden. We found that the Salar HGs, as a typical agroecosyste, prossess multiple servcices and functions that directly benefit households according to the field investigation.

Conclusion
This paper reveals the floristic diversity of Salar HGs. It presents useful information in the homegarden agroecosystem of Salar people, such as HG types and species diversity in Salar HGs. Ecosystem functions and services research suggested that the Salar HG agroecosystem provides agroecosystem services mainly related to supply and culture services. Salar HGs are important as food supplement resources, aesthetics symbol, and cultural spaces.
Treatment of intrathoracic anastomotic leak after esophagectomy with the sump drainage tube
Authors: Yin Qifan , Zhou Shaohui , Song Yongbin , Xun Xuejiao , Liu Nana , Liu Lijun 
Published: March 2021

Abstract
Background
Intrathoracic esophagogastric anastomotic leak is one of the deadliest complications after esophagectomy. In recent years, we have implemented new method for the treatment of intrathoracic esophagogastric anastomotic leak with the nasogastric placement of sump drainage tube through fistula into abscess cavity. The aim of this study is to compare the efficacy of the new method and conventional therapies for intrathoracic anastomotic leak after esophagectomy.

Method
Esophagectomy and esophagogastric anastomotic procedures were performed in 875 patients at our institution from January 2008 to December 2019. Of these patients, 43(4.9%) patients developed intrathoracic anastomotic leaks postoperatively were enrolled into our study and their clinical data were retrospectively assessed. 20 (47%) patients from January 2008 to December 2012 received conventional treatments (group 1) known as the traditional “three-tube method”, and 23 (53%) patients from January 2013 to December 2019 received new treatments (group 2), consisted of conventional therapies and the nasogastric placement of sump drainage tube through fistula into abscess cavity.

Results
The presence of intrathoracic anastomotic leak was proven by contrast esophagography in 43 patients (4.9%). Among them, The average duration of chest tube was 47 days in group 1 and 28 days in group 2. The average length of leak treatment was 52 days in group 1 and 35 days in group 2. The average length of postoperative hospital stay was 56 days in group 1 and 39 days in group 2, respectively. 7(35%) patients among 20 patients died from intrathoracic anastomotic leak in group 1; and 3(13%) patients among 23 patients died from intrathoracic anastomotic leak in group 2. Compared with the conventional treatments (group 1), The average duration of chest tube was significantly decreased in the new treatments (group 2) (P < 0.01), as well as the length of leak treatment (P < 0.05) and the length of postoperative hospital stay (P < 0.01). However, there was no significant difference in the mortality rate (P = 0.148 > 0.05).

Conclusion
In conclusion, Our results showed this method of the nasogastric placement of sump drainage tube through fistula appears to be an safe, effective, technically feasible treatment option for intrathoracic esophagogastric anastomotic leak. The efficacy and feasibility could be further investigated with a well-designed and large-scale RCT research.
SGTA associates with intracellular aggregates in neurodegenerative diseases
Authors: Kubota Shun , Doi Hiroshi , Koyano Shigeru , Tanaka Kenichi , Komiya Hiroyasu , Katsumoto Atsuko , Ikeda Shingo , Hashiguchi Shunta , Nakamura Haruko , Fukai Ryoko , Takahashi Keita , Kunii Misako , Tada Mikiko , Takeuchi Hideyuki , Tanaka Fumiaki 
Published: March 2021

AbstractIntracellular aggregates are a common pathological hallmark of neurodegenerative diseases such as polyglutamine (polyQ) diseases, amyotrophic lateral sclerosis (ALS), Parkinson’s disease (PD), and multiple system atrophy (MSA). Aggregates are mainly formed by aberrant disease-specific proteins and are accompanied by accumulation of other aggregate-interacting proteins. Although aggregate-interacting proteins have been considered to modulate the formation of aggregates and to be involved in molecular mechanisms of disease progression, the components of aggregate-interacting proteins remain unknown. In this study, we showed that small glutamine-rich tetratricopeptide repeat-containing protein alfa (SGTA) is an aggregate-interacting protein in neurodegenerative diseases. Immunohistochemistry showed that SGTA interacted with intracellular aggregates in Huntington disease (HD) cell models and neurons of HD model mice. We also revealed that SGTA colocalized with intracellular aggregates in postmortem brains of patients with polyQ diseases including spinocerebellar ataxia (SCA)1, SCA2, SCA3, and dentatorubral–pallidoluysian atrophy. In addition, SGTA colocalized with glial cytoplasmic inclusions in the brains of MSA patients, whereas no accumulation of SGTA was observed in neurons of PD and ALS patients. In vitro study showed that SGTA bound to polyQ aggregates through its C-terminal domain and SGTA overexpression reduced intracellular aggregates. These results suggest that SGTA may play a role in the formation of aggregates and may act as potential modifier of molecular pathological mechanisms of polyQ diseases and MSA.
Emerging agents and regimens for AML
Authors: Liu Hongtao 
Published: March 2021

AbstractUntil recently, acute myeloid leukemia (AML) patients used to have limited treatment options, depending solely on cytarabine + anthracycline (7 + 3) intensive chemotherapy and hypomethylating agents. Allogeneic stem cell transplantation (Allo-SCT) played an important role to improve the survival of eligible AML patients in the past several decades. The exploration of the genomic and molecular landscape of AML, identification of mutations associated with the pathogenesis of AML, and the understanding of the mechanisms of resistance to treatment from excellent translational research helped to expand the treatment options of AML quickly in the past few years, resulting in noteworthy breakthroughs and FDA approvals of new therapeutic treatments in AML patients. Targeted therapies and combinations of different classes of therapeutic agents to overcome treatment resistance further expanded the treatment options and improved survival. Immunotherapy, including antibody-based treatment, inhibition of immune negative regulators, and possible CAR T cells might further expand the therapeutic armamentarium for AML. This review is intended to summarize the recent developments in the treatment of AML.
Small-molecule HDAC and Akt inhibitors suppress tumor growth and enhance immunotherapy in multiple myeloma
Authors: Hirano Mitsuhito , Imai Yoichi , Kaito Yuta , Murayama Takahiko , Sato Kota , Ishida Tadao , Yamamoto Junichi , Ito Takumi , Futami Muneyoshi , Ri Masaki , Yasui Hiroshi , Denda Tamami , Tanaka Yukihisa , Ota Yasunori , Nojima Masanori , Kamikubo Yasuhiko , Gotoh Noriko , Iida Shinsuke , Handa Hiroshi , Tojo Arinobu 
Published: March 2021

Abstract
Background
Multiple myeloma (MM) is an incurable disease. The acquisition of resistance to drugs, including immunomodulatory drugs (IMiDs), has a negative effect on its prognosis. Cereblon (CRBN) is a key mediator of the bioactivities of IMiDs such as lenalidomide. Moreover, genetic alteration of CRBN is frequently detected in IMiD-resistant patients and is considered to contribute to IMiD resistance. Thus, overcoming resistance to drugs, including IMiDs, is expected to improve clinical outcomes. Here, we examined potential mechanisms of a histone deacetylase (HDAC) inhibitor and Akt inhibitor in relapsed/refractory MM patients.

Methods
We established lenalidomide-resistant cells by knocking down CRBN with RNAi-mediated downregulation or knocking out CRBN using CRISPR-Cas9 in MM cells. Additionally, we derived multi-drug (bortezomib, doxorubicin, or dexamethasone)-resistant cell lines and primary cells from relapsed/refractory MM patients. The effects of HDAC and Akt inhibitors on these drug-resistant MM cells were then observed with a particular focus on whether HDAC inhibitors enhance immunotherapy efficacy. We also investigated the effect of lenalidomide on CRBN-deficient cells.

Results
The HDAC inhibitor suppressed the growth of drug-resistant MM cell lines and enhanced the antibody-dependent cellular cytotoxicity (ADCC) of therapeutic antibodies by upregulating natural killer group 2D (NKG2D) ligands in MM cells. CRBN-deficient cells showed lenalidomide-induced upregulation of phosphorylated glycogen synthase kinase-3 (p-GSK-3) and c-Myc phosphorylation. Moreover, HDAC and Akt inhibitors downregulated c-Myc by blocking GSK-3 phosphorylation. HDAC and Akt inhibitors also exhibited synergistic cytotoxic and c-Myc-suppressive effects. The dual HDAC and PI3K inhibitor, CUDC-907, exhibited cytotoxic and immunotherapy-enhancing effects in MM cells, including multi-drug-resistant lines and primary cells from lenalidomide-resistant patients.

Conclusions
The combination of an HDAC and an Akt inhibitor represents a promising approach for the treatment of relapsed/refractory MM.
Research on cluster overlap and non-overlap region for 5G-IoV networks with NOMA
Authors: Gu Jinyuan , Zhang Guoan , Lv Haibin , Duan Wei 
Published: March 2021

AbstractAs a multi hop self-organizing network, wireless sensor network has the ability to cooperatively sense, collect and process the information of the sensed objects. The applications of WCN in 5G-based Internet of Vehicles (5G-IoV), using information fusion and intelligent information processing technologies, can obtain more reliable and accurate detection parameters, which has been widely concerned. However, the massive connectivity and information exchange in 5G-IoV pose great challenges to the bandwidth efficiency. In order to overcome these issues in 5G-IoV networks, a performance enhanced scheme based on non-orthogonal multiple access (NOMA) is proposed. In the proposed scheme, different vehicle locations are respectively discussed, i.e., whether in the overlap region of cluster head vehicles (CHVs). In particular, different to conventional works, each receiving node only decodes the desired signal to avoid performance loss provided from the poor channel quality limitation. On the other hand, all CHVs decode-and-forward new superposition coded signals with new power allocation factors, while that the maximum ratio combining is utilized at receivers to further improve the ergodic sum-rate (SR) and probability of conflict. The closed-form expressions of ergodic SR for our proposed scheme are analyzed under the independent Rayleigh fading channels. Numerical results corroborating our theoretical analysis show that the superposition coded signal transmission scheme applied to the proposed NOMA-IoV improves the ergodic SR performance significantly compared with the existing works, especially for the high signal-to-noise region.
Homoclinic orbits of sub-linear Hamiltonian systems with perturbed terms
Authors: Lv Haiyan , Chen Guanwei 
Published: March 2021

AbstractBy using variational methods, we obtain the existence of homoclinic orbits for perturbed Hamiltonian systems with sub-linear terms. To the best of our knowledge, there is no published result focusing on the perturbed and sub-linear Hamiltonian systems.
A hepatitis stochastic epidemic model with acute and chronic stages
Authors: Khan Amir , Hussain Ghulam , Yusuf Abdullahi , Usman Auwalu Hamisu , Humphries Usa Wannasingha 
Published: March 2021

AbstractThe article is based on the study of hepatitis transmission dynamics using a stochastic epidemic model. We discuss the stochastic perturbations of our proposed model by considering the effect of environmental fluctuation and distribute the transmission rate in the form of white noise. Taking into account the Lyapunov function theory, the uniqueness and existence of the global positive solution are proven. Some sufficient conditions for the extinction and persistence in the mean are established. The numerical simulations are given to verify the main theoretical findings.
Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition
Authors: Antonucci Linda A. , Raio Alessandra , Pergola Giulio , Gelao Barbara , Papalino Marco , Rampino Antonio , Andriola Ileana , Blasi Giuseppe , Bertolino Alessandro 
Published: March 2021

AbstractBackgroundRecent views posited that negative parenting and attachment insecurity can be considered as general environmental factors of vulnerability for psychosis, specifically for individuals diagnosed with psychosis (PSY). Furthermore, evidence highlighted a tight relationship between attachment style and social cognition abilities, a key PSY behavioral phenotype. The aim of this study is to generate a machine learning algorithm based on the perceived quality of parenting and attachment style-related features to discriminate between PSY and healthy controls (HC) and to investigate its ability to track PSY early stages and risk conditions, as well as its association with social cognition performance.MethodsPerceived maternal and paternal parenting, as well as attachment anxiety and avoidance scores, were trained to separate 71 HC from 34 PSY (20 individuals diagnosed with schizophrenia + 14 diagnosed with bipolar disorder with psychotic manifestations) using support vector classification and repeated nested cross-validation. We then validated this model on independent datasets including individuals at the early stages of disease (ESD, i.e. first episode of psychosis or depression, or at-risk mental state for psychosis) and with familial high risk for PSY (FHR, i.e. having a first-degree relative suffering from psychosis). Then, we performed factorial analyses to test the group x classification rate interaction on emotion perception, social inference and managing of emotions abilities.ResultsThe perceived parenting and attachment-based machine learning model discriminated PSY from HC with a Balanced Accuracy (BAC) of 72.2%. Slightly lower classification performance was measured in the ESD sample (HC-ESD BAC = 63.5%), while the model could not discriminate between FHR and HC (BAC = 44.2%). We observed a significant group x classification interaction in PSY and HC from the discovery sample on emotion perception and on the ability to manage emotions (bothp = 0.02). The interaction on managing of emotion abilities was replicated in the ESD and HC validation sample (p = 0.03).ConclusionOur results suggest that parenting and attachment-related variables bear significant classification power when applied to both PSY and its early stages and are associated with variability in emotion processing. These variables could therefore be useful in psychosis early recognition programs aimed at softening the psychosis-associated disability.
Large deviations of extreme eigenvalues of generalized sample covariance matrices
Authors: Maillard Antoine 
Published: March 2021

Abstract
We present an analytical technique to compute the probability of rare events in which the largest eigenvalue of a random matrix is atypically large (i.e., the right tail of its large deviations). The results also transfer to the left tail of the large deviations of the smallest eigenvalue. The technique improves upon past methods by not requiring the explicit law of the eigenvalues, and we apply it to a large class of random matrices that were previously out of reach. In particular, we solve an open problem related to the performance of principal components analysis on highly correlated data, and open the way towards analyzing the high-dimensional landscapes of complex inference models. We probe our results using an importance sampling approach, effectively simulating events with probability as small as

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Urinary Phthalate Biomarkers and Bone Mineral Density in Postmenopausal Women
Authors: Reeves Katherine W , Vieyra Gabriela , Grimes Nydjie P , Meliker Jaymie , Jackson Rebecca D , Wactawski-Wende Jean , Wallace Robert , Zoeller R Thomas , Bigelow Carol , Hankinson Susan E , Manson JoAnn E , Cauley Jane A , Calafat Antonia M 
Published: March 2021

Abstract

Context
Phthalates are endocrine-disrupting chemicals that could disrupt normal physiologic function, triggering detrimental impacts on bone.

Objective
We evaluated associations between urinary phthalate biomarkers and BMD in postmenopausal women participating in the prospective Women’s Health Initiative (WHI).

Methods
We included WHI participants enrolled in the BMD substudy and selected for a nested case-control study of phthalates and breast cancer (N = 1255). We measured 13 phthalate biomarkers and creatinine in 2 to 3 urine samples per participant collected over 3 years, when all participants were cancer free. Total hip and femoral neck BMD were measured at baseline and year 3, concurrent with urine collection, via dual-energy x-ray absorptiometry. We fit multivariable generalized estimating equation models and linear mixed-effects models to estimate cross-sectional and longitudinal associations, respectively, with stratification on postmenopausal hormone therapy (HT) use.

Results
In cross-sectional analyses, mono-3-carboxypropyl phthalate and the sum of di-isobutyl phthalate metabolites were inversely associated with total hip BMD among HT nonusers, but not among HT users. Longitudinal analyses showed greater declines in total hip BMD among HT nonusers and with highest concentrations of mono-3-carboxyoctyl phthalate (–1.80%; 95% CI, –2.81% to –0.78%) or monocarboxynonyl phthalate (–1.84%; 95% CI, –2.80% to –0.89%); similar associations were observed with femoral neck BMD. Among HT users, phthalate biomarkers were not associated with total hip or femoral neck BMD change.

Conclusion
Certain phthalate biomarkers are associated with greater percentage decreases in total hip and femoral neck BMD. These findings suggest that phthalate exposure may have clinically important effects on BMD, and potentially fracture risk.