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Article: Transcriptome sequencing reveals novel biomarkers and immune cell infiltration in esophageal tumorigenesis.

Sun, Jian-Rong / Chen, Dong-Mei / Huang, Rong / Wang, Rui-Tao / Jia, Li-Qun

World journal of gastrointestinal oncology

2024 Volume 16, Issue 4, Page(s) 1500–1513

Abstract: Background: Esophageal squamous cell carcinoma (ESCC) is one of the most common malignancies worldwide, and its development comprises a multistep process from intraepithelial neoplasia (IN) to carcinoma (CA). However, the critical regulators and ... ...

Abstract	Background: Esophageal squamous cell carcinoma (ESCC) is one of the most common malignancies worldwide, and its development comprises a multistep process from intraepithelial neoplasia (IN) to carcinoma (CA). However, the critical regulators and underlying molecular mechanisms remain largely unknown. Aim: To explore the genes and infiltrating immune cells in the microenvironment that are associated with the multistage progression of ESCC to facilitate diagnosis and early intervention. Methods: A mouse model mimicking the multistage development of ESCC was established by providing warter containing 4-nitroquinoline 1-oxide (4NQO) to C57BL/6 mice. Moreover, we established a control group without 4NQO treatment of mice. Then, transcriptome sequencing was performed for esophageal tissues from patients with different pathological statuses, including low-grade IN (LGIN), high-grade IN (HGIN), and CA, and controlled normal tissue (NOR) samples. Differentially expressed genes (DEGs) were identified in the LGIN, HGIN, and CA groups, and the biological functions of the DEGs were analyzed Results: Compared with those in the NOR group, a total of 681541, and 840 DEGs were obtained in the LGIN, HGIN, and CA groups, respectively. Using the intersection of the three sets of DEGs, we identified 86 genes as key genes involved in the development of ESCC. Enrichment analysis revealed that these genes were enriched mainly in the keratinization, epidermal cell differentiation, and interleukin (IL)-17 signaling pathways. CIBERSORT analysis revealed that, compared with those in the NOR group, M0 and M1 macrophages in the 4NQO group showed stronger infiltration, which was validated by IHC. Serum cytokine analysis revealed that, compared with those in the NOR group, IL-1β and IL-6 were upregulated, while IL-10 was downregulated in the LGIN, HGIN, and CA groups. Moreover, the expression of the representative key genes, such as S100a8 and Krt6b, was verified in external human samples, and the results of immunohistochemical staining were consistent with the findings in mice. Conclusion: We identified a set of key genes represented by S100a8 and Krt6b and investigated their potential biological functions. In addition, we found that macrophage infiltration and abnormal alterations in the levels of inflammation-associated cytokines, such as IL-1β, IL-6, and IL-10, in the peripheral blood may be closely associated with the development of ESCC.
Language	English
Publishing date	2024-04-05
Publishing country	China
Document type	Journal Article
ZDB-ID	2573696-6
ISSN	1948-5204
ISSN	1948-5204
DOI	10.4251/wjgo.v16.i4.1500
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Article ; Online: Nitrogen-doped carbon-coated Cu

Liu, Yanjing / Wang, Ruitao / Liu, Shuhong / Xu, Yunsong / Zhang, Zhirong / Song, Ying / Yao, Zhongping

Journal of colloid and interface science

2024 Volume 665, Page(s) 945–957

Abstract: The Fenton-like activated molecular oxygen technology demonstrates significant potential in the treatment of refractory organic pollutants in wastewater, offering promising development prospects. We prepared a N-doped C-coated copper-based catalyst ... ...

Abstract	The Fenton-like activated molecular oxygen technology demonstrates significant potential in the treatment of refractory organic pollutants in wastewater, offering promising development prospects. We prepared a N-doped C-coated copper-based catalyst Cu
Language	English
Publishing date	2024-03-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	241597-5
ISSN	1095-7103 ; 0021-9797
ISSN (online)	1095-7103
ISSN	0021-9797
DOI	10.1016/j.jcis.2024.03.189
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Article ; Online: Improvements of adhesion strength of water-based epoxy resin on carbon fiber reinforced polymer (CFRP) composites via building surface roughness using modified silica particles

Lee, Vicky / Zhang, Ling / Li, Xiaofei / Wang, Ruitao / Wu, Xiaofeng / Zhang, Donghai / Chen, Yunfa

Composites Part A. 2023 June, v. 169 p.107511-

2023

Abstract: In this work, aiming to enhance the adhesion strength of water-based epoxy coating on carbon fiber reinforced polymer (CFRP) composites, micron silica particles modified by γ-amino propyltriethoxysilane (γ-APS) with the sol-gel method were used to build ... ...

Abstract	In this work, aiming to enhance the adhesion strength of water-based epoxy coating on carbon fiber reinforced polymer (CFRP) composites, micron silica particles modified by γ-amino propyltriethoxysilane (γ-APS) with the sol-gel method were used to build roughness surface on CFRP. The morphology, roughness, chemical composition, wetting behavior of the surface were characterized and their effects on the coating’s adhesion strength through Pull-off adhesion test were analyzed. It was demonstrated that the introduction of modified silica particles improves the adhesive strength of epoxy coating on CFRP by approximately 120%. Compared to traditional sanding treatments of CFRP composites, this work provides a convenient and eco-friendly approach to reach the adhesion strength requirement for the water-based epoxy coating without composites mechanical damage and dust pollution.
Keywords	adhesion ; carbon fibers ; chemical composition ; dust ; epoxides ; mechanical damage ; pollution ; polymers ; roughness ; silica ; sol-gel processing ; surface roughness ; A. Polymer-matrix composites (PMCs) ; B. Adhesion ; E. Surface treatment ; E. Surface analysis
Language	English
Dates of publication	2023-06
Publishing place	Elsevier Ltd
Document type	Article ; Online
ZDB-ID	2012223-8
ISSN	1359-835X
ISSN	1359-835X
DOI	10.1016/j.compositesa.2023.107511
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Article ; Online: Red blood cell distribution width is associated with sarcopenia risk in early-stage non-small cell lung cancer.

Jia, Qing-Chun / Qin, Ling / Niu, Ye / Liu, Le / Liu, Ping-Ping / Miao, Shi-di / Cui, Ming-Ming / Wang, Rui-Tao

BMC cancer

2024 Volume 24, Issue 1, Page(s) 95

Abstract: Background: Sarcopenia has received increasing attention in non-small cell lung cancer (NSCLC). Red blood cell distribution width (RDW) is a significant component of the complete blood count and indicates the heterogeneity of erythrocyte volume. Little ... ...

Abstract	Background: Sarcopenia has received increasing attention in non-small cell lung cancer (NSCLC). Red blood cell distribution width (RDW) is a significant component of the complete blood count and indicates the heterogeneity of erythrocyte volume. Little information is known about RDW in relation to sarcopenia in early-stage (IA-IIIA) NSCLC. The purpose of the present study was to investigate the association between RDW and sarcopenia risk in early-stage NSCLC patients. Methods: This study included 378 patients with pathologically confirmed stage IA-IIIA NSCLC. Sarcopenia was defined by measuring the skeletal muscle index (SMI) at the eleventh thoracic vertebra level. The maximum Youden index on the receiver operating characteristic (ROC) curve was used to estimate the cutoff value for RDW to predict sarcopenia. Logistic regression analyses were carried out to assess the independent risk factors for sarcopenia in NSCLC. Results: The ROC curve indicated that the best cutoff point for RDW to predict sarcopenia was 12.9 (sensitivity of 43.80% and specificity of 76.76%, respectively). Moreover, there were significant differences in hemoglobin (p < 0.001), comorbidities (p = 0.001), histological type (p = 0.002), and cancer stage (p = 0.032) between the high RDW and low RDW groups. Logistic regression analyses revealed that high RDW is an independent risk factor for sarcopenia in early-stage NSCLC. Conclusion: RDW is associated with sarcopenia risk in early-stage NSCLC.
MeSH term(s)	Humans ; Carcinoma, Non-Small-Cell Lung/pathology ; Sarcopenia/pathology ; Lung Neoplasms/pathology ; Retrospective Studies ; Small Cell Lung Carcinoma/pathology ; Erythrocytes/pathology ; ROC Curve ; Prognosis
Language	English
Publishing date	2024-01-17
Publishing country	England
Document type	Journal Article
ZDB-ID	2041352-X
ISSN	1471-2407 ; 1471-2407
ISSN (online)	1471-2407
ISSN	1471-2407
DOI	10.1186/s12885-024-11864-z
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Article ; Online: Predictive value of contrast-enhanced ultrasonography and ultrasound elastography for management of BI-RADS category 4 nonpalpable breast masses.

Niu, Qinghua / Zhao, Lei / Wang, Ruitao / Du, Lianfang / Shi, Qiusheng / Jia, Chao / Li, Gang / Jin, Lifang / Li, Fan

European journal of radiology

2024 Volume 173, Page(s) 111391

Abstract: Purpose: The objective of this study was to investigate the independent risk factors and associated predictive values of contrast-enhanced ultrasound (CEUS), shear wave elastography (SWE), and strain elastography (SE) for high-risk lesions (HRL) and ... ...

Abstract	Purpose: The objective of this study was to investigate the independent risk factors and associated predictive values of contrast-enhanced ultrasound (CEUS), shear wave elastography (SWE), and strain elastography (SE) for high-risk lesions (HRL) and malignant tumors (MT) among nonpalpable breast masses classified as BI-RADS category 4 on conventional ultrasound. Methods: This prospective study involved consecutively admitted patients with breast tumors from January 2018, aiming to explore the management of BI-RADS category 4 breast tumors using CEUS and elastography. We conducted a retrospective review of patient data, focusing on those with a history of a nonpalpable mass as the primary complaint. Pathologic findings after surgical resection served as the gold standard. The CEUS arterial-phase indices were analyzed using contrast agent arrival-time parametric imaging processing mode, while quantitative and qualitative indices were examined on ES images. Independent risk factors were identified through binary logistic regression multifactorial analysis. The predictive efficacy of different modalities was compared using a receiver operating characteristics curve. Subsequently, a nomogram for predicting the risk of HRL/MT was established based on a multifactorial logistic regression model. Results: A total of 146 breast masses from 146 patients were included, comprising 80 benign tumors, 12 HRLs, and 54 MTs based on the final pathology. There was no significant difference in pathologic size between the benign and HRL/MT groups [8.00(6.25,10.00) vs. 9.00(6.00,10.00), P = 0.506]. The diagnostic efficacy of US plus CEUS exceeded that of US plus SWE/SE for BI-RADS 4 nonpalpable masses, with an AUC of 0.954 compared to 0.798/0.741 (P ＜ 0.001). Further stratified analysis revealed a more pronounced improvement for reclassification of BI-RADS 4a masses (AUC: 0.943 vs. 0.762/0.675, P ＜ 0.001) than BI-RADS 4b (AUC:0.950 vs. 0.885/0.796, P＞0.05) with the assistance of CEUS than SWE/SE. Employing downgrade CEUS strategies resulted in negative predictive values ranging from 95.2 % to 100.0 % for BI-RADS 4a and 4b masses. Conversely, using upgrade nomogram strategies, which included the independent predictive risk factors of irregular enhanced shape, poor defined enhanced margin, earlier enhanced time, increased surrounding vessels, and presence of contrast agent retention, the diagnostic performance achieved an AUC of 0.947 with good calibration. Conclusion: After investigating the potential of CEUS and ES in improving risk assessment and diagnostic accuracy for nonpalpable BI-RADS category 4 breast masses, it is evident that CEUS has a more significant impact on enhancing classification compared to ES, particularly for BI-RADS 4a subgroup masses. This finding suggests that CEUS may offer greater benefits in improving risk assessment and diagnostic accuracy for this specific subgroup of breast masses.
MeSH term(s)	Female ; Humans ; Elasticity Imaging Techniques/methods ; Ultrasonography, Mammary/methods ; Prospective Studies ; Contrast Media ; Sensitivity and Specificity ; Reproducibility of Results ; Breast/diagnostic imaging ; Ultrasonography ; Breast Neoplasms/diagnostic imaging
Chemical Substances	Contrast Media
Language	English
Publishing date	2024-02-28
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	138815-0
ISSN	1872-7727 ; 0720-048X
ISSN (online)	1872-7727
ISSN	0720-048X
DOI	10.1016/j.ejrad.2024.111391
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Article ; Online: Development of a Multi-Parametric ultrasonography nomogram for prediction of invasiveness in ductal carcinoma in situ.

Niu, Qinghua / Li, Hui / Du, Lianfang / Wang, Ruitao / Lin, Jun / Chen, An / Jia, Chao / Jin, Lifang / Li, Fan

European journal of radiology

2024 Volume 175, Page(s) 111415

Abstract: Objective: To investigate the independent risk variables associated with the potential invasiveness of ductal carcinoma in situ (DCIS) on multi-parametric ultrasonography, and further construct a nomogram for risk assessment.: Methods: Consecutive ... ...

Abstract	Objective: To investigate the independent risk variables associated with the potential invasiveness of ductal carcinoma in situ (DCIS) on multi-parametric ultrasonography, and further construct a nomogram for risk assessment. Methods: Consecutive patients from January 2017 to December 2022 who were suspected of having ductal carcinoma in situ (DCIS) based on magnetic resonance imaging or mammography were prospectively enrolled. Histopathological findings after surgical resection served as the gold standard. Grayscale ultrasound, Doppler ultrasound, shear wave elastography (SWE), and contrast-enhanced ultrasound (CEUS) examinations were preoperative performed. Binary logistic regression was used for multifactorial analysis to identify independent risk factors from multi-parametric ultrasonography. The correlation between independent risk factors and pathological prognostic markers was analyzed. The predictive efficacy of DCIS associated with invasiveness was assessed by logistic analysis, and a nomogram was established. Results: A total of 250 DCIS lesions were enrolled from 249 patients, comprising 85 pure DCIS and 165 DCIS with invasion (DCIS-IDC), of which 41 exhibited micro-invasion. The multivariate analysis identified independent risk factors for DCIS with invasion on multi-parametric ultrasonography, including image size (>2cm), Doppler ultrasound RI (≥0.72), SWE's Emax (≥66.4 kPa), hyper-enhancement, centripetal enhancement, increased surrounding vessel, and no contrast agent retention on CEUS. These factors correlated with histological grade, Ki-67, and human epidermal growth factor receptor 2 (HER2) (P < 0.1). The multi-parametric ultrasound approach demonstrated good predictive performance (sensitivity 89.7 %, specificity 73.8 %, AUC 0.903), surpassing single US modality or combinations with SWE or CEUS modalities. Utilizing these factors, a predictive nomogram achieved a respectable performance (AUC of 0.889) for predicting DCIS with invasion. Additionally, a separate nomogram for predicting DCIS with micro-invasion, incorporating independent risk factors such as RI (≥0.72), SWE's Emax (≥65.2 kPa), and centripetal enhancement, demonstrated an AUC of 0.867. Conclusion: Multi-parametric ultrasonography demonstrates good discriminatory ability in predicting both DCIS with invasion and micro-invasion through the analysis of lesion morphology, stiffness, neovascular architecture, and perfusion. The use of a nomogram based on ultrasonographic images offers an intuitive and effective method for assessing the risk of invasion in DCIS. Although the nomogram is not currently considered a clinically applicable diagnostic tool due to its AUC being below the threshold of 0.9, further research and development are anticipated to yield positive outcomes and enhance its viability for clinical utilization.
MeSH term(s)	Humans ; Female ; Middle Aged ; Breast Neoplasms/diagnostic imaging ; Breast Neoplasms/pathology ; Nomograms ; Neoplasm Invasiveness/diagnostic imaging ; Ultrasonography, Mammary/methods ; Carcinoma, Intraductal, Noninfiltrating/diagnostic imaging ; Carcinoma, Intraductal, Noninfiltrating/pathology ; Aged ; Elasticity Imaging Techniques/methods ; Adult ; Prospective Studies ; Contrast Media ; Risk Factors ; Predictive Value of Tests ; Sensitivity and Specificity ; Risk Assessment
Language	English
Publishing date	2024-03-06
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	138815-0
ISSN	1872-7727 ; 0720-048X
ISSN (online)	1872-7727
ISSN	0720-048X
DOI	10.1016/j.ejrad.2024.111415
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Article ; Online: Subcutaneous fat predicts bone metastasis in breast cancer: A novel multimodality-based deep learning model.

Miao, Shidi / Jia, Haobo / Huang, Wenjuan / Cheng, Ke / Zhou, Wenjin / Wang, Ruitao

Cancer biomarkers : section A of Disease markers

2023 Volume 39, Issue 3, Page(s) 171–185

Abstract: Objectives: This study explores a deep learning (DL) approach to predicting bone metastases in breast cancer (BC) patients using clinical information, such as the fat index, and features like Computed Tomography (CT) images.: Methods: CT imaging data ...

Abstract	Objectives: This study explores a deep learning (DL) approach to predicting bone metastases in breast cancer (BC) patients using clinical information, such as the fat index, and features like Computed Tomography (CT) images. Methods: CT imaging data and clinical information were collected from 431 BC patients who underwent radical surgical resection at Harbin Medical University Cancer Hospital. The area of muscle and adipose tissue was obtained from CT images at the level of the eleventh thoracic vertebra. The corresponding histograms of oriented gradients (HOG) and local binary pattern (LBP) features were extracted from the CT images, and the network features were derived from the LBP and HOG features as well as the CT images through deep learning (DL). The combination of network features with clinical information was utilized to predict bone metastases in BC patients using the Gradient Boosting Decision Tree (GBDT) algorithm. Regularized Cox regression models were employed to identify independent prognostic factors for bone metastasis. Results: The combination of clinical information and network features extracted from LBP features, HOG features, and CT images using a convolutional neural network (CNN) yielded the best performance, achieving an AUC of 0.922 (95% confidence interval [CI]: 0.843-0.964, P< 0.01). Regularized Cox regression results indicated that the subcutaneous fat index was an independent prognostic factor for bone metastasis in breast cancer (BC). Conclusion: Subcutaneous fat index could predict bone metastasis in BC patients. Deep learning multimodal algorithm demonstrates superior performance in assessing bone metastases in BC patients.
MeSH term(s)	Humans ; Female ; Deep Learning ; Breast Neoplasms/diagnostic imaging ; Neural Networks, Computer ; Tomography, X-Ray Computed/methods ; Subcutaneous Fat
Language	English
Publishing date	2023-12-01
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2203517-5
ISSN	1875-8592 ; 1574-0153 ; 1875-8592
ISSN (online)	1875-8592 ; 1574-0153
ISSN	1875-8592
DOI	10.3233/CBM-230219
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Article ; Online: Self-Assembly of Amphiphilic Linear-Dendritic Carbosilane Block Surfactant for Waterborne Polyurethane Coating.

Wang, Ruitao / Li, Chunxiang / Jiang, Zhaohua / Wang, Zhijiang

Polymers

2020 Volume 12, Issue 6

Abstract: The traditional two-component waterborne polyurethane coating system cannot effectively inhibit the undesirable side reaction between polyisocyanate and water during curing hardening. It is difficult to avoid the microbubbles formed by this reaction ... ...

Abstract	The traditional two-component waterborne polyurethane coating system cannot effectively inhibit the undesirable side reaction between polyisocyanate and water during curing hardening. It is difficult to avoid the microbubbles formed by this reaction during the film formation process, which severely degrades the appearance and decreases the performance of the film. Therefore, the addition of an amphiphilic Linear-Dendritic carbosilane Block Surfactant (LDBS) to the hardener can physically separate the polyisocyanate emulsion from water through self-assembly. The bubble-free film thickness (BFFT) of the two-component waterborne polyurethane coating in this study is approximately 1.5-fold greater than commercial waterborne polyurethane coatings in today's coating industry. Fourier transform infrared spectroscopy (FT-IR) varied the effectiveness of LDBS for inhibition of the undesirable side reaction. The successful application of the waterborne polyurethane coating with LDBS on the 600 km/h high-speed maglev train provides a technical solution for large-scale industrialization of waterborne polyurethane coating and complete replacement of solvent polyurethane coating.
Language	English
Publishing date	2020-06-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527146-5
ISSN	2073-4360 ; 2073-4360
ISSN (online)	2073-4360
ISSN	2073-4360
DOI	10.3390/polym12061318
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Article ; Online: Association between c-type lectin-like receptor 2 and microsatellite instability in colorectal cancer: a cross-sectional study.

Zhang, Xin / Yuan, Jia-Rui / Wang, Xin / Fu, Shuang / Wang, Rui-Tao / Wang, Guang-Yu

BMC cancer

2022 Volume 22, Issue 1, Page(s) 823

Abstract: Background: As a transmembrane protein, C-type lectin-like receptor 2 (CLEC-2) is mainly expressed on platelets and released into plasma after platelet activation. Activated platelets participate in the regulation of innate immune cells. Patients with ... ...

Abstract	Background: As a transmembrane protein, C-type lectin-like receptor 2 (CLEC-2) is mainly expressed on platelets and released into plasma after platelet activation. Activated platelets participate in the regulation of innate immune cells. Patients with different microsatellite statuses have distinct immune profiles. This study aimed to investigate the association of plasma CLEC-2 levels with microsatellite status among colorectal cancer (CRC) patients. Methods: A cross-sectional analysis of 430 CRC patients from Harbin Medical University Cancer Hospital was conducted. CLEC-2 levels were measured with fasting venous blood samples drawn from each participant before any treatment. The microsatellite status was evaluated with DNA obtained from fresh frozen tumor tissue samples. The other clinical data were collected and recorded based on the medical system records. Results: CLEC-2 levels were significantly higher among patients with high microsatellite instability phenotype than the stable microsatellite group, adjusting for other confounding variables. Conclusions: The increased CLEC-2 is associated with the high microsatellite instability subtype of CRC.
MeSH term(s)	Colorectal Neoplasms/genetics ; Cross-Sectional Studies ; Humans ; Lectins, C-Type/genetics ; Lectins, C-Type/metabolism ; Membrane Glycoproteins ; Microsatellite Instability ; Platelet Activation
Chemical Substances	CLEC2B protein, human ; Lectins, C-Type ; Membrane Glycoproteins
Language	English
Publishing date	2022-07-28
Publishing country	England
Document type	Journal Article
ZDB-ID	2041352-X
ISSN	1471-2407 ; 1471-2407
ISSN (online)	1471-2407
ISSN	1471-2407
DOI	10.1186/s12885-022-09834-4
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Article ; Online: Deep learning radiomics under multimodality explore association between muscle/fat and metastasis and survival in breast cancer patients.

Miao, Shidi / Jia, Haobo / Cheng, Ke / Hu, Xiaohui / Li, Jing / Huang, Wenjuan / Wang, Ruitao

Briefings in bioinformatics

2022 Volume 23, Issue 6

Abstract: Sarcopenia is correlated with poor clinical outcomes in breast cancer (BC) patients. However, there is no precise quantitative study on the correlation between body composition changes and BC metastasis and survival. The present study proposed a deep ... ...

Abstract	Sarcopenia is correlated with poor clinical outcomes in breast cancer (BC) patients. However, there is no precise quantitative study on the correlation between body composition changes and BC metastasis and survival. The present study proposed a deep learning radiomics (DLR) approach to investigate the effects of muscle and fat on distant metastasis and death outcomes in BC patients. Image feature extraction was performed on 4th thoracic vertebra (T4) and 11th thoracic vertebra (T11) on computed tomography (CT) image levels by DLR, and image features were combined with clinical information to predict distant metastasis in BC patients. Clinical information combined with DLR significantly predicted distant metastasis in BC patients. In the test cohort, the area under the curve of model performance on clinical information combined with DLR was 0.960 (95% CI: 0.942-0.979, P < 0.001). The patients with distant metastases had a lower pectoral muscle index in T4 (PMI/T4) than in patients without metastases. PMI/T4 and visceral fat tissue area in T11 (VFA/T11) were independent prognostic factors for the overall survival in BC patients. The pectoralis muscle area in T4 (PMA/T4) and PMI/T4 is an independent prognostic factor for distant metastasis-free survival in BC patients. The current study further confirmed that muscle/fat of T4 and T11 levels have a significant effect on the distant metastasis of BC. Appending the network features of T4 and T11 to the model significantly enhances the prediction performance of distant metastasis of BC, providing a valuable biomarker for the early treatment of BC patients.
MeSH term(s)	Humans ; Female ; Breast Neoplasms/pathology ; Deep Learning ; Tomography, X-Ray Computed/methods ; Cohort Studies ; Muscles/pathology
Language	English
Publishing date	2022-10-02
Publishing country	England
Document type	Journal Article
ZDB-ID	2068142-2
ISSN	1477-4054 ; 1467-5463
ISSN (online)	1477-4054
ISSN	1467-5463
DOI	10.1093/bib/bbac432
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