bluuebunny/crossref_metadata_2025_split huggingface dataset:
Imaging the metabolic reprograming of fatty acid synthesis pathway enables new diagnostic and therapeutic opportunity for breast cancer
Authors: Wang Fukai , Ma Shuangshuang , Chen Panpan , Han Yuhao , Liu Zhaoyun , Wang Xinzhao , Sun Chenglong , Yu Zhiyong 
Published: April 2023

Abstract
Background
Reprogrammed metabolic network is a key hallmark of cancer. Profiling cancer metabolic alterations with spatial signatures not only provides clues for understanding cancer biochemical heterogeneity, but also helps to decipher the possible roles of metabolic reprogramming in cancer development.

Methods
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) technique was used to characterize the expressions of fatty acids in breast cancer tissues. Specific immunofluorescence staining was further carried out to investigate the expressions of fatty acid synthesis-related enzymes.

Results
The distributions of 23 fatty acids in breast cancer tissues have been mapped, and the levels of most fatty acids in cancer tissues are significantly higher than those in adjacent normal tissues. Two metabolic enzymes, fatty acid synthase (FASN) and acetyl CoA carboxylase (ACC), which being involved in the de novo synthesis of fatty acid were found to be up-regulated in breast cancer. Targeting the up-regulation of FASN and ACC is an effective approach to limiting the growth, proliferation, and metastasis of breast cancer cells.

Conclusions
These spatially resolved findings enhance our understanding of cancer metabolic reprogramming and give an insight into the exploration of metabolic vulnerabilities for better cancer treatment.
Review on two-dimensional material-based field-effect transistor biosensors: accomplishments, mechanisms, and perspectives
Authors: Chen Shuo , Sun Yang , Fan Xiangyu , Xu Yazhe , Chen Shanshan , Zhang Xinhao , Man Baoyuan , Yang Cheng , Du Jun 
Published: April 2023

AbstractField-effect transistor (FET) is regarded as the most promising candidate for the next-generation biosensor, benefiting from the advantages of label-free, easy operation, low cost, easy integration, and direct detection of biomarkers in liquid environments. With the burgeoning advances in nanotechnology and biotechnology, researchers are trying to improve the sensitivity of FET biosensors and broaden their application scenarios from multiple strategies. In order to enable researchers to understand and apply FET biosensors deeply, focusing on the multidisciplinary technical details, the iteration and evolution of FET biosensors are reviewed from exploring the sensing mechanism in detecting biomolecules (research direction 1), the response signal type (research direction 2), the sensing performance optimization (research direction 3), and the integration strategy (research direction 4). Aiming at each research direction, forward perspectives and dialectical evaluations are summarized to enlighten rewarding investigations.
Dual mode imaging guided multi-functional bio-targeted oxygen production probes for tumor therapy
Authors: Wang Yaotai , Zhang Zhong , Ren Li , Luo Yong , Wang Qi , Zou Jianzhong 
Published: April 2023

AbstractFocused ultrasound ablation surgery (FUAS) is a novel therapy with a wide range of potential applications. However, synergists are crucial to the therapy process due to the ultrasonic energy's attenuation properties. As a result of the complex hypoxic environment in the tumor area and many factors, the existing synergists have limitations such as weak targeting, single imaging mode, and easy tumor recurrence after treatment. Because of the above deficiencies, this study intends to construct bio-targeted oxygen production probes consisting ofBifidobacteriumthat naturally target the hypoxia region of the tumor and multi-functional oxygen-producing nanoparticles equipped with IR780, perfluorohexane (PFH), CBP (carboplatin), and oxygen. The probes are expected to achieve targeted and synergistic FUAS therapy and dual-mode imaging to mediate tumor diagnosis and treatment. The oxygen and drugs carried in it are accurately released after FUAS stimulation, which is expected to alleviate tumor hypoxia, avoid tumor drug resistance, improve the effect of chemotherapy, and realize FUAS combined with chemotherapy antitumor therapy. This strategy is expected to make up for the deficiencies of existing synergists, improve the effectiveness and safety of treatment, and provide the foundation for future tumor therapy progress.Graphical Abstract
A prediction model for left ventricular thrombus persistence/recurrence: based on a prospective study and a retrospective study
Authors: Yang Qing , Quan Xin , Wang Chuangshi , Yu Litian , Yang Yanmin , Zhu Jun , Liang Yan 
Published: April 2023

Abstract
Background
It remains unknown whether anticoagulation for persistent left ventricular (LV) thrombus should be continued indefinitely. Identifying patients with a high risk of thrombus unresolved may be helpful to determine the optimum anticoagulation duration. This study aimed to develop a prediction model to forecast thrombus persistence or recurrence in patients with LV thrombus.

Methods
We enrolled patients prospectively from 2020 to 2022 and retrospectively from 2013 to 2019 at the National Center of Cardiovascular Diseases of China. The two cohorts were then combined to derive predictive models of thrombus persistence/recurrence. The primary study comprised patients who received systemic oral anticoagulants and had imaging records available at the end of a 3-month follow-up period. The Lasso regression algorithm and the logistic regression were performed to select independent predictors. The calibration curve was generated and a nomogram risk prediction model was applied as a risk stratification tool.

Results
A total of 172 (64 in the prospective cohort and 108 in the retrospective cohort) patients were included, with 124 patients in a training set and 48 patients in a validation set. Six predictors were incorporated into the multivariate logistic regression prediction model. The area under the receiving operating characteristic was 0.852 in the training set and 0.631 in the validation set. Patients with protuberant thrombus and higher baseline D-dimer levels had a reduced risk of persistence/recurrence (OR 0.17, 95% CI 0.03–0.69, P = 0.025; OR 0.67, 95% CI 0.43–0.91, P = 0.030, separately), whereas thicker thrombus was linked to an increased rate of persistent thrombus (OR 1.11, 95% CI 1.05–1.20, P = 0.002). Additionally, patients with diverse diagnoses or receiving different antiplatelet treatments had different rates of LV thrombus persistence/recurrence at 3 months.

Conclusions
This prediction model provides tools to forecast the occurrence of persistent/recurrent thrombus and allows the identification of characteristics associated with unresolved thrombus. To validate the model and determine the duration of anticoagulation in patients with persistent thrombus, prospective randomized trials are necessary.
Systematic review of economic evaluations for paediatric pulmonary diseases
Authors: Chitando Mutsawashe , Cleary Susan , Cunnama Lucy 
Published: April 2023

Abstract
Background
Paediatric pulmonary diseases are the leading causes of mortality amongst children under five globally. Economic evaluations (EEs) seek to guide decision-makers on which health care interventions to adopt to reduce the paediatric pulmonary disease burden. This study aims to systematically review economic evaluations on different aspects of the inpatient management of paediatric pulmonary diseases globally.

Methods
We systematically reviewed EEs published between 2010 and 2020, with a subsequent search conducted for 2020–2022. We searched PubMed, Web of Science, MEDLINE, Paediatric Economic Database Evaluation (PEDE) and the Cochrane library. We extracted data items guided by the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. We collected qualitative and quantitative data which we analysed in Microsoft Excel and R software.

Results
Twenty-two articles met the inclusion criteria. Six of the articles were cost-effectiveness analyses, six cost-utility analyses, two cost-minimisation analyses and eight cost analyses. Twelve articles were from high-income countries (HICs) and ten were from low- and middle-income countries (LMICs). Eight articles focused on asthma, eleven on pneumonia, two on asthma and pneumonia, and one on tuberculosis.

Conclusion
Conducting more EEs for paediatric pulmonary diseases in LMICs could allow for more evidence-based decision-making to improve paediatric health outcomes.
Strengths and limitations of new artificial intelligence tool for rare disease epidemiology
Authors: Lapidus David 
Published: April 2023

AbstractThe recent paper by Kariampuzha et al. describes an exciting application of artificial intelligence to rare disease epidemiology. The authors’ AI model appears to offer a major leap over Orphanet, the resource which is often a “first stop” for basic epidemiological data on rare diseases. To ensure appropriate use of this exciting tool, it is important to consider its strengths and weaknesses in context. The tool currently incorporates only PubMed abstracts, so key information located in the full text of articles is absent. Such missing information may include incidence and prevalence values, as well as important elements of study design and context. Additionally, results from the public version of the tool differ from those described in the original article, including obsolete values for prevalence and the use of non-prevalence studies in place of those listed in the article. At present, it would be appropriate to utilize the AI tool much like Orphanet: a helpful “first stop” which should be manually checked for completeness and accuracy. Users should understand the benefits of this exciting technology, and that it is not yet a panacea for the challenges of analyzing rare disease epidemiology.
OSMR deficiency aggravates pressure overload-induced cardiac hypertrophy by modulating macrophages and OSM/LIFR/STAT3 signalling
Authors: Feng Yizhou , Yuan Yuan , Xia Hongxia , Wang Zhaopeng , Che Yan , Hu Zhefu , Deng Jiangyang , Li Fangfang , Wu Qingqing , Bian Zhouyan , Zhou Heng , Shen Difei , Tang Qizhu 
Published: April 2023

AbstractBackgroundOncostatin M (OSM) is a secreted cytokine of the interleukin (IL)-6 family that induces biological effects by activating functional receptor complexes of the common signal transducing component glycoprotein 130 (gp130) and OSM receptor β (OSMR) or leukaemia inhibitory factor receptor (LIFR), which are mainly involved in chronic inflammatory and cardiovascular diseases. The effect and underlying mechanism of OSM/OSMR/LIFR on the development of cardiac hypertrophy remains unclear.Methods and resultsOSMR-knockout (OSMR-KO) mice were subjected to aortic banding (AB) surgery to establish a model of pressure overload-induced cardiac hypertrophy. Echocardiographic, histological, biochemical and immunological analyses of the myocardium and the adoptive transfer of bone marrow-derived macrophages (BMDMs) were conducted for in vivo studies. BMDMs were isolated and stimulated with lipopolysaccharide (LPS) for the in vitro study. OSMR deficiency aggravated cardiac hypertrophy, fibrotic remodelling and cardiac dysfunction after AB surgery in mice. Mechanistically, the loss of OSMR activated OSM/LIFR/STAT3 signalling and promoted a proresolving macrophage phenotype that exacerbated inflammation and impaired cardiac repair during remodelling. In addition, adoptive transfer of OSMR-KO BMDMs to WT mice after AB surgery resulted in a consistent hypertrophic phenotype. Moreover, knockdown of LIFR in myocardial tissue with Ad-shLIFR ameliorated the effects of OSMR deletion on the phenotype and STAT3 activation.ConclusionsOSMR deficiency aggravated pressure overload-induced cardiac hypertrophy by modulating macrophages and OSM/LIFR/STAT3 signalling, which provided evidence that OSMR might be an attractive target for treating pathological cardiac hypertrophy and heart failure.
French guidelines for the etiological workup of eosinophilia and the management of hypereosinophilic syndromes
Authors: Groh Matthieu , Rohmer Julien , Etienne Nicolas , Abou Chahla Wadih , Baudet Antoine , Chan Hew Wai Aurélie , Chenivesse Cécile , Clisson Rusek Irena , Cottin Vincent , Decamp Matthieu , De Groote Pascal , Delahousse Fanny , Duployez Nicolas , Faguer Stanislas , Gottrand Frédéric , Huang Florent , Leblanc Thierry , Magnan Antoine , Martin Thierry , Mortuaire Geoffrey , Néel Antoine , Paris Luc , Petit Arnaud , Rossignol Julien , Schleinitz Nicolas , Soret-Dulphy Juliette , Staumont-Salle Delphine , Terrier Benjamin , Terriou Louis , Viallard Jean-François , Lefèvre Guillaume , Kahn Jean-Emmanuel 
Published: April 2023

AbstractEosinophilic-related clinical manifestations are protean and the underlying conditions underpinning eosinophilia are highly diverse. The etiological workup of unexplained eosinophilia/hypereosinophilia can be challenging, and can lead sometimes to extensive, inappropriate, costly and/or invasive investigations. To date, guidelines for the etiological workup and management of eosinophilia are mainly issued by hematologists, and thus mostly cover the scope of clonal hypereosinophilic syndromes (HES). Here, thanks to an extensive literature review, and thanks to the joint work of a large panel of experts involving physicians from both adult and pediatric medicine and from various subspecialties (as well as a representative of a patients’ association representative), we provide recommendations for both the step-by step diagnostic workup of eosinophilia (whether unexplained or within specific contexts) as well as the management and follow-up of the full spectrum of eosinophilic disorders (including clonal, reactive, lymphocytic and idiopathic HES, as well as single-organ diseases). Didactic prescription summaries intended to facilitate the prescription of eosinophil-targeted drugs are also provided, as are practical diagnostic and therapeutic algorithms. Lastly, this set of recommendations also includes a summary intended for general practitioners, as well as an overview of the therapeutic patient education program set up by the French reference center for HES. Further updates will be mandatory as new validated information emerges.
Anastomotic leakage after resection of the rectosigmoid colon in primary ovarian cancer
Authors: Kim Ji Hyun , Han Won Ho , Lee Dong-Eun , Kim Sun Young , You Kiho , Park Sung Sil , Lee Dong Woon , Seo Sang-Soo , Kang Sokbom , Park Sang-Yoon , Lim Myong Cheol 
Published: April 2023

Abstract
Background
The aim of the study is to evaluate the risk factors of anastomotic leakage (AL) and develop a nomogram to predict the risk of AL in surgical management of primary ovarian cancer.

Methods
We retrospectively reviewed 770 patients with primary ovarian cancer who underwent surgical resection of the rectosigmoid colon as part of cytoreductive surgery between January 2000 to December 2020. AL was defined based on radiologic studies or sigmoidoscopy with relevant clinical findings. Logistic regression analyses were performed to identify the risk factor of AL, and a nomogram was developed based on the multivariable analysis. The bootstrapped-concordance index was used for internal validation of the nomogram, and calibration plots were constructed.

Results
The incidence of AL after resection of the rectosigmoid colon was 4.2% (32/770). Diabetes (OR 3.79; 95% CI, 1.31–12.69; p = 0.031), co-operation with distal pancreatectomy (OR, 4.8150; 95% CI, 1.35–17.10; p = 0.015), macroscopic residual tumor (OR, 7.43; 95% CI, 3.24–17.07; p = 0<001) and anastomotic level from the anal verge shorter than 10 cm (OR, 6.28; 95% CI, 2.29–21.43; p = 0.001) were significant prognostic factors for AL on multivariable analysis. Using four variables, the nomogram has been developed to predict anastomotic leakage: https://ALnomogram.github.io/.

Conclusion
Four risk factors for AL after resection of the rectosigmoid colon are identified from the largest ovarian cancer study cohort. The nomogram from this information provides a numerical risk probability of AL, which could be used in preoperative counseling with patients and intraoperative decision for accompanying surgical procedures and prophylactic use of ileostomy or colostomy to minimize the risk of postoperative leakage.

Trial registration
Retrospectively registered.
Developing four cuproptosis-related lncRNAs signature to predict prognosis and immune activity in ovarian cancer
Authors: Liu Li , Wang Qing , Zhou Jia-Yun , Zhang Bei 
Published: April 2023

AbstractBackgroundThere has been a recent discovery of a new type of cell death produced by copper-iron ions, called Cuproptosis (copper death). The purpose of this study was to identify LncRNA signatures associated with Cuproptosis in ovarian cancer that could be used as prognostic indicators.MethodsRNA sequencing (RNA-seq) profiles with clinicopathological data from TCGA database were used to select prognostic CRLs and then constructed prognostic risk model using multivariate regression analysis and LASSO algorithms. An independent dataset from GEO database was used to validate the prognostic performance. Combined with clinical factors, we further constructed a prognostic nomogram. In addition, tumor immune microenvironment, somatic mutation and drug sensitivity were analyzed using ssGSEA, GSVA, ESTIMATE and CIBERSORT algorithms.ResultA total of 129 CRLs were selected whose expression levels were significantly related to expression levels of 10 cuproptosis-related genes. The univariate Cox regression analysis showed that 12 CRLs were associated with overall survival (OS). Using LASSO algorithms and multivariate regression analysis, we constructed a four-CRLs prognostic signature in the training dataset. Patients in the training dataset could be classified into high- or low-risk subgroups with significantly different OS (log-rankp < 0.001). The prognostic performance was confirmed in TCGA-OC cohort (log-rankp < 0.001) and an independent GEO cohort (log-rankp = 0.023). Multivariate cox regression analysis proved the four-CRLs signature was an independent prognostic factor for OC. Additionally, different risk subtypes showed significantly different levels of immune cells, signal pathways, and drug response.ConclusionWe established a prognostic signature based on cuproptosis-related lncRNAs for OC patients, which will be of great value in predicting the prognosis patients and may provide a new perspective for research and individualized treatment.
Inversion polymorphism in a complete human genome assembly
Authors: Porubsky David , Harvey William T. , Rozanski Allison N. , Ebler Jana , Höps Wolfram , Ashraf Hufsah , Hasenfeld Patrick ,   Human Pangenome Reference Consortium (HPRC),   Human Genome Structural Variation Consortium (HGSVC), Paten Benedict , Sanders Ashley D. , Marschall Tobias , Korbel Jan O. , Eichler Evan E. 
Published: April 2023

AbstractThe telomere-to-telomere (T2T) complete human reference has significantly improved our ability to characterize genome structural variation. To understand its impact on inversion polymorphisms, we remapped data from 41 genomes against the T2T reference genome and compared it to the GRCh38 reference. We find a ~ 21% increase in sensitivity improving mapping of 63 inversions on the T2T reference. We identify 26 misorientations within GRCh38 and show that the T2T reference is three times more likely to represent the correct orientation of the major human allele. Analysis of 10 additional samples reveals novel rare inversions at chromosomes 15q25.2, 16p11.2, 16q22.1–23.1, and 22q11.21.
Caloric restriction remodels the hepatic chromatin landscape and bile acid metabolism by modulating the gut microbiota
Authors: Fan Yun , Qian Hong , Zhang Meijia , Tao Chengzhe , Li Zhi , Yan Wenkai , Huang Yuna , Zhang Yan , Xu Qiaoqiao , Wang Xinru , Wade Paul A. , Xia Yankai , Qin Yufeng , Lu Chuncheng 
Published: April 2023

Abstract
Background
Caloric restriction (CR) has been known to promote health by reprogramming metabolism, yet little is known about how the epigenome and microbiome respond during metabolic adaptation to CR.

Results
We investigate chromatin modifications, gene expression, as well as alterations in microbiota in a CR mouse model. Collectively, short-term CR leads to altered gut microbial diversity and bile acid metabolism, improving energy expenditure. CR remodels the hepatic enhancer landscape at genomic loci that are enriched for binding sites for signal-responsive transcription factors, including HNF4α. These alterations reflect a dramatic reprogramming of the liver transcriptional network, including genes involved in bile acid metabolism. Transferring CR gut microbiota into mice fed with an obesogenic diet recapitulates the features of CR-related bile acid metabolism along with attenuated fatty liver.

Conclusions
These findings suggest that CR-induced microbiota shapes the hepatic epigenome followed by altered expression of genes responsible for bile acid metabolism.
Dual-energy CT virtual non-calcium: an accurate method for detection of knee osteoarthritis-related edema-like marrow signal intensity
Authors: Zhao Heng , Li Hui , Xie Xia , Tang Hai-yan , Liu Xiao-xin , Wen Yi , Xiao Xin , Ye Lu , Tang You-wei , Dai Gao-yue , He Jia-ni , Chen Li , Wang Qian , Tang De-qiu , Pan Shi-nong 
Published: April 2023

Abstract
Objectives
To evaluate the performance of a dual-energy computed tomography (DECT) virtual non-calcium (VNCa) technique in the detection of edema-like marrow signal intensity (ELMSI) in patients with knee joint osteoarthritis (OA) compared to magnetic resonance imaging (MRI).

Methods
The study received local ethics board approval, and written informed consent was obtained. DECT and MRI were used to examine 28 knees in 24 patients with OA. VNCa images were generated by dual-energy subtraction of calcium. The knee joint was divided into 15 regions for ELMSI grading, performed independently by two musculoskeletal radiologists, with MRI as the reference standard. We also analyzed CT numbers through receiver operating characteristics and calculated cut-off values.

Results
For the qualitative analysis, we obtained CT sensitivity (Readers 1, 2 = 83.7%, 89.8%), specificity (Readers 1, 2 = 99.5%, 99.5%), positive predictive value (Readers 1, 2 = 95.3%, 95.7%), and negative predictive value (Readers 1, 2 = 97.9%, 98.7%) for ELMSI. The interobserver agreement was excellent (κ = 0.92). The area under the curve for Reader 1 and Reader 2 was 0.961 (95% CI 0.93, 0.99) and 0.992 (95% CI 0.98, 1.00), respectively. CT numbers obtained from the VNCa images were significantly different between regions with and without ELMSI (p < .001).

Conclusions
VNCa images have good diagnostic performance for the qualitative and quantitative analysis of knee osteoarthritis-related ELMSI.