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Ellis R, Weiss A. Human vaccines and immunotherapeutics: News February 2024. Hum Vaccin Immunother 2024; 20:2327910. [PMID: 38478989 PMCID: PMC10939145 DOI: 10.1080/21645515.2024.2327910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024] Open
Affiliation(s)
| | - Adam Weiss
- Acquisitions Editor, Taylor & Francis Group
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Lv Z, Hou J, Wang Y, Wang X, Wang Y, Wang K. Reply to "Knowledge-map analysis and bladder cancer immunotherapy: Comment". Hum Vaccin Immunother 2024; 20:2325756. [PMID: 38537105 PMCID: PMC10993802 DOI: 10.1080/21645515.2024.2325756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2024] Open
Affiliation(s)
- Zongwei Lv
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Junhui Hou
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yuan Wang
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xia Wang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yibing Wang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Kefeng Wang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
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Oishi T, Hasegawa S, Nakano T, Sudo S, Kuwajima H, Tokuriki S, Tamura T. Changes in vaccine coverage and incidence of acute gastroenteritis and severe rotavirus gastroenteritis in children <5 years in Shibata City, Niigata Prefecture, Japan. Hum Vaccin Immunother 2024; 20:2322202. [PMID: 38478958 PMCID: PMC10939147 DOI: 10.1080/21645515.2024.2322202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 02/20/2024] [Indexed: 03/17/2024] Open
Abstract
Rotavirus (RV) vaccines were first introduced in 2011 and adopted for universal vaccination in 2020 in Japan. However, the effectiveness of RV vaccines after being adopted for universal vaccination in 2020 has not been reported. Because of the easy accessibility of clinics in Japan, many children are not usually hospitalized for RV gastroenteritis (RVGE). Therefore, in order to evaluate the impact of the RV vaccine since 2008, we investigated the incidence of hospitalization for RVGE as well as the frequency of children aged < 5 years who received medical treatment for severe RVGE at clinics in Shibata City, Japan. The RV vaccine coverage rate was 94.0% (1,046/1,113) in Shibata City after universal vaccination in 2020; this was a significant increase from previous rates. The incidence per 1000 person - years for RVGE hospitalization and severe RVGE at clinics were significantly higher among children aged < 3 years than in previous time periods. The incidence in children with all acute gastroenteritis (AGE) decreased significantly after universal vaccination during the COVID-19 pandemic. The proportion of severe RVGE among all AGE cases also decreased significantly after universal vaccination among children aged < 3 years (0.0%) and those aged 3-4 years (0.6%). There were significant differences in the distribution of RV genotypes isolated from the feces of children with RVGE between different eras divided by RV vaccination rates, especially G1P[8], which was the major genotype before it recently almost disappeared. Further studies are warranted to assess the impact of the COVID-19 pandemic.
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Affiliation(s)
- Tomohiro Oishi
- Department of Clinical Infectious Diseases, Kawasaki Medical School, Kurashiki, Okayama, Japan
| | - Satoshi Hasegawa
- Pediatric Department, Niigata Prefectural Shibata Hospital, Shibata, Niigata, Japan
| | - Tokushi Nakano
- Pediatric Department, Nakano Children’s Clinic, Shibata, Niigata, Japan
| | - Shoji Sudo
- Pediatric Department, Sudo Pediatric Clinic, Shibata, Niigata, Japan
| | | | - Shuko Tokuriki
- Pediatric Department, Twin Smile Clinic, Shibata, Niigata, Japan
| | - Tsutomu Tamura
- Department of Virology, Niigata Prefectural Institute of Public Health and Environmental Sciences, Niigata, Japan
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Qiao Y, Yang R, Liu Y, Chen J, Zhao L, Huo P, Wang Z, Bu D, Wu Y, Zhao Y. DeepFusion: A deep bimodal information fusion network for unraveling protein-RNA interactions using in vivo RNA structures. Comput Struct Biotechnol J 2024; 23:617-625. [PMID: 38274994 PMCID: PMC10808905 DOI: 10.1016/j.csbj.2023.12.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/04/2023] [Accepted: 12/26/2023] [Indexed: 01/27/2024] Open
Abstract
RNA-binding proteins (RBPs) are key post-transcriptional regulators, and the malfunctions of RBP-RNA binding lead to diverse human diseases. However, prediction of RBP binding sites is largely based on RNA sequence features, whereas in vivo RNA structural features based on high-throughput sequencing are rarely incorporated. Here, we designed a deep bimodal information fusion network called DeepFusion for unraveling protein-RNA interactions by incorporating structural features derived from DMS-seq data. DeepFusion integrates two sub-models to extract local motif-like information and long-term context information. We show that DeepFusion performs best compared with other cutting-edge methods with only sequence inputs on two datasets. DeepFusion's performance is further improved with bimodal input after adding in vivo DMS-seq structural features. Furthermore, DeepFusion can be used for analyzing RNA degradation, demonstrating significantly different RBP-binding scores in genes with slow degradation rates versus those with rapid degradation rates. DeepFusion thus provides enhanced abilities for further analysis of functional RNAs. DeepFusion's code and data are available at http://bioinfo.org/deepfusion/.
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Affiliation(s)
- Yixuan Qiao
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rui Yang
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Liu
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiaxin Chen
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Lianhe Zhao
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Peipei Huo
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Zhihao Wang
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Dechao Bu
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Yang Wu
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Yi Zhao
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Liu X, Wang H, Gao J. scIALM: A method for sparse scRNA-seq expression matrix imputation using the Inexact Augmented Lagrange Multiplier with low error. Comput Struct Biotechnol J 2024; 23:549-558. [PMID: 38274995 PMCID: PMC10809077 DOI: 10.1016/j.csbj.2023.12.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/27/2024] Open
Abstract
Single-cell RNA sequencing (scRNA-seq) is a high-throughput sequencing technology that quantifies gene expression profiles of specific cell populations at the single-cell level, providing a foundation for studying cellular heterogeneity and patient pathological characteristics. It is effective for developmental, fertility, and disease studies. However, the cell-gene expression matrix of single-cell sequencing data is often sparse and contains numerous zero values. Some of the zero values derive from noise, where dropout noise has a large impact on downstream analysis. In this paper, we propose a method named scIALM for imputation recovery of sparse single-cell RNA data expression matrices, which employs the Inexact Augmented Lagrange Multiplier method to use sparse but clean (accurate) data to recover unknown entries in the matrix. We perform experimental analysis on four datasets, calling the expression matrix after Quality Control (QC) as the original matrix, and comparing the performance of scIALM with six other methods using mean squared error (MSE), mean absolute error (MAE), Pearson correlation coefficient (PCC), and cosine similarity (CS). Our results demonstrate that scIALM accurately recovers the original data of the matrix with an error of 10e-4, and the mean value of the four metrics reaches 4.5072 (MSE), 0.765 (MAE), 0.8701 (PCC), 0.8896 (CS). In addition, at 10%-50% random masking noise, scIALM is the least sensitive to the masking ratio. For downstream analysis, this study uses adjusted rand index (ARI) and normalized mutual information (NMI) to evaluate the clustering effect, and the results are improved on three datasets containing real cluster labels.
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Affiliation(s)
- Xiaohong Liu
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Han Wang
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Jingyang Gao
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
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Yao M, Zhang L, Teng X, Lei Y, Xing X, Ren T, Pan Y, Zhang L, Li Z, Lin J, Zheng Y, Xing L, Zhou J, Wu C. Transcriptomic profiling of Dip2a in the neural differentiation of mouse embryonic stem cells. Comput Struct Biotechnol J 2024; 23:700-710. [PMID: 38292475 PMCID: PMC10825174 DOI: 10.1016/j.csbj.2023.12.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/21/2023] [Accepted: 12/23/2023] [Indexed: 02/01/2024] Open
Abstract
Introduction The disconnected-interacting protein 2 homolog A (DIP2A), a member of disconnected-interacting 2 protein family, has been shown to be involved in human nervous system-related mental illness. This protein is highly expressed in the nervous system of mouse. Mutation of mouse DIP2A causes defects in spine morphology and synaptic transmission, autism-like behaviors, and defective social novelty [5], [27], indicating that DIP2A is critical to the maintenance of neural development. However, the role of DIP2A in neural differentiation has yet to be investigated. Objective To determine the role of DIP2A in neural differentiation, a neural differentiation model was established using mouse embryonic stem cells (mESCs) and studied by using gene-knockout technology and RNA-sequencing-based transcriptome analysis. Results We found that DIP2A is not required for mESCs pluripotency maintenance, but loss of DIP2A causes the neural differentiation abnormalities in both N2B27 and KSR medium. Functional knockout of Dip2a gene also decreased proliferation of mESCs by perturbation of the cell cycle and profoundly inhibited the expression of a large number of neural development-associated genes which mainly enriched in spinal cord development and postsynapse assembly. Conclusions The results of this report demonstrate that DIP2A plays an essential role in regulating differentiation of mESCs towards the neural fate.
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Affiliation(s)
- Mingze Yao
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
| | - Lei Zhang
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
- Center of Reproductive Medicine, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan 030006, China
| | - Xiaojuan Teng
- Dermatology Hospital, Southern Medical University, Guangzhou 510000, China
| | - Yu Lei
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
| | - Xiaoyu Xing
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
| | - Tinglin Ren
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
| | - Yuanqing Pan
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
| | - Liwen Zhang
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
| | - Zhengfeng Li
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510000, China
| | - Jingxia Lin
- Dermatology Hospital, Southern Medical University, Guangzhou 510000, China
| | - Yaowu Zheng
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
| | - Li Xing
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
| | - Jiajian Zhou
- Dermatology Hospital, Southern Medical University, Guangzhou 510000, China
| | - Changxin Wu
- Institutes of Biomedical Sciences, Shanxi Provincial Key Laboratory for Medical Molecular Cell Biology, Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
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Yadav S, Vora DS, Sundar D, Dhanjal JK. TCR-ESM: Employing protein language embeddings to predict TCR-peptide-MHC binding. Comput Struct Biotechnol J 2024; 23:165-173. [PMID: 38146434 PMCID: PMC10749252 DOI: 10.1016/j.csbj.2023.11.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 11/19/2023] [Accepted: 11/20/2023] [Indexed: 12/27/2023] Open
Abstract
Cognate target identification for T-cell receptors (TCRs) is a significant barrier in T-cell therapy development, which may be overcome by accurately predicting TCR interaction with peptide-bound major histocompatibility complex (pMHC). In this study, we have employed peptide embeddings learned from a large protein language model- Evolutionary Scale Modeling (ESM), to predict TCR-pMHC binding. The TCR-ESM model presented outperforms existing predictors. The complementarity-determining region 3 (CDR3) of the hypervariable TCR is located at the center of the paratope and plays a crucial role in peptide recognition. TCR-ESM trained on paired TCR data with both CDR3α and CDR3β chain information performs significantly better than those trained on data with only CDR3β, suggesting that both TCR chains contribute to specificity, the relative importance however depends on the specific peptide-MHC targeted. The study illuminates the importance of MHC information in TCR-peptide binding which remained inconclusive so far and was thought dependent on the dataset characteristics. TCR-ESM outperforms existing approaches on external datasets, suggesting generalizability. Overall, the potential of deep learning for predicting TCR-pMHC interactions and improving the understanding of factors driving TCR specificity are highlighted. The prediction model is available at http://tcresm.dhanjal-lab.iiitd.edu.in/ as an online tool.
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Affiliation(s)
- Shashank Yadav
- Department of Biomedical Engineering, University of Arizona, Tucson 85721, AZ, USA
| | - Dhvani Sandip Vora
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi 110016, India
- Department of Computational Biology, Indraprastha Institute of Information Technology, Delhi, New Delhi 110020, India
| | - Durai Sundar
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Jaspreet Kaur Dhanjal
- Department of Computational Biology, Indraprastha Institute of Information Technology, Delhi, New Delhi 110020, India
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Martino F, Ilardi G, Varricchio S, Russo D, Di Crescenzo RM, Staibano S, Merolla F. A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma. J Pathol Inform 2024; 15:100354. [PMID: 38148967 PMCID: PMC10750186 DOI: 10.1016/j.jpi.2023.100354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 08/14/2023] [Accepted: 11/16/2023] [Indexed: 12/28/2023] Open
Abstract
Anatomical pathology is undergoing its third revolution, transitioning from analogical to digital pathology and incorporating new artificial intelligence technologies into clinical practice. Aside from classification, detection, and segmentation models, predictive models are gaining traction since they can impact diagnostic processes and laboratory activity, lowering consumable usage and turnaround time. Our research aimed to create a deep-learning model to generate synthetic Ki-67 immunohistochemistry from Haematoxylin and Eosin (H&E) stained images. We used 175 oral squamous cell carcinoma (OSCC) from the University Federico II's Pathology Unit's archives to train our model to generate 4 Tissue Micro Arrays (TMAs). We sectioned one slide from each TMA, first stained with H&E and then re-stained with anti-Ki-67 immunohistochemistry (IHC). In digitised slides, cores were disarrayed, and the matching cores of the 2 stained were aligned to construct a dataset to train a Pix2Pix algorithm to convert H&E images to IHC. Pathologists could recognise the synthetic images in only half of the cases in a specially designed likelihood test. Hence, our model produced realistic synthetic images. We next used QuPath to quantify IHC positivity, achieving remarkable levels of agreement between genuine and synthetic IHC. Furthermore, a categorical analysis employing 3 Ki-67 positivity cut-offs (5%, 10%, and 15%) revealed high positive-predictive values. Our model is a promising tool for collecting Ki-67 positivity information directly on H&E slides, reducing laboratory demand and improving patient management. It is also a valuable option for smaller laboratories to easily and quickly screen bioptic samples and prioritise them in a digital pathology workflow.
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Affiliation(s)
- Francesco Martino
- Dedalus HealthCare, Division of Diagnostic Imaging IT, Gertrude-Frohlich-Sandner-Straße 1, Wien 1100, Austria
- Department of Advanced Biomedical Sciences, University of Naples, Via Pansini, 5, Naples 80131, Italy
| | - Gennaro Ilardi
- Department of Advanced Biomedical Sciences, University of Naples, Via Pansini, 5, Naples 80131, Italy
| | - Silvia Varricchio
- Department of Advanced Biomedical Sciences, University of Naples, Via Pansini, 5, Naples 80131, Italy
| | - Daniela Russo
- Department of Advanced Biomedical Sciences, University of Naples, Via Pansini, 5, Naples 80131, Italy
| | - Rosa Maria Di Crescenzo
- Department of Advanced Biomedical Sciences, University of Naples, Via Pansini, 5, Naples 80131, Italy
| | - Stefania Staibano
- Department of Advanced Biomedical Sciences, University of Naples, Via Pansini, 5, Naples 80131, Italy
| | - Francesco Merolla
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, Via De Sanctis, Campobasso 86100, Italy
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Ross JL, Cagino SG, Denefrio CL. Examining technology use and mental health among parents with newborns in the intensive care unit during the COVID-19 pandemic: A cross-sectional study. PEC Innov 2024; 4:100252. [PMID: 38205429 PMCID: PMC10776774 DOI: 10.1016/j.pecinn.2023.100252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 12/13/2023] [Accepted: 12/15/2023] [Indexed: 01/12/2024]
Abstract
Objectives To investigate the relationship between pandemic-related stressors, mental health, and technology use among parents of hospitalized infants during the COVID-19 pandemic. Methods A cross-sectional study of 47 participants who had an infant in the Neonatal Intensive Care Unit (NICU) during the pandemic was completed. Participants ranked several statements on a Likert scale to assess mental health, technology use, and COVID-19-related stress during their infant's stay in the NICU. Results Mental health wellness scores were negatively associated with COVID-19-related stress (rs - 0.40, p = .015). The most prevalent stressor was hospital visitation restriction. Higher COVID-19-related stress was associated with greater use of text and video chat [(rs0.35, p = 0.016) and (rs0.33, p = .025)]. Enjoyment of technology use and access to technology were positively associated with higher mental health wellness scores [(rs0.42, p = .003) and (rs0.38, p = .009)]. Conclusions Social uses of technology were valuable in a cohort of parents with infants hospitalized during the COVID-19 pandemic. Innovation Technology is a tool that can help parents cope with the stress of having a hospitalized infant. Digital literacy and technology access should be promoted in the post-pandemic landscape to help parents of infants in the NICU attain more benefit from these resources.
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Affiliation(s)
| | - Sarah G. Cagino
- Department of Obstetrics & Gynecology, Albany Medical Center, Albany, NY, USA
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Belon AP, Yashadhana A, Kongats K, Atkey K, Glenn NM, Jaques K, Nieuwendyk L, Harris P, de Leeuw E, Nykiforuk CI. Australian and Canadian financial wellbeing policy landscape during COVID-19: An equity-informed policy scan. Health Policy Open 2024; 6:100114. [PMID: 38213762 PMCID: PMC10776654 DOI: 10.1016/j.hpopen.2023.100114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 11/27/2023] [Accepted: 12/09/2023] [Indexed: 01/13/2024] Open
Abstract
Background This targeted and comprehensive policy scan examined how different levels of governments in Australia and Canada responded to the financial crisis brought on by the COVID-19 pandemic. We mapped the types of early policy responses addressing financial strain and promoting financial wellbeing. We also examined their equity considerations. Methods Through a systematic search, snowballing, and manual search, we identified Canadian and Australian policies at all government levels related to financial strain or financial wellbeing enacted or amended in 2019-2020. Using a deductive-inductive approach, policies were categorized by jurisdiction level, focal areas, and target population groups. Results In total, 213 and 97 policies in Canada and Australia, respectively, were included. Comparisons between Canadian and Australian policies indicated a more diversified and equity-targeted policy landscape in Canada. In both countries, most policies focused on individual and family finances, followed by housing and employment areas. Conclusions The policy scan identified gaps and missed opportunities in the early policies related to financial strain and financial wellbeing. While fast, temporary actions addressed individuals' immediate needs, we recommend governments develop a longer-term action plan to tackle the root causes of financial strain and poor financial wellbeing for better health and non-health crisis preparedness. Statement on Ethics and Informed Consent This research reported in this paper did not require ethical clearance or patient informed consent as the data sources were published policy documents. This study did not involve data collection with humans (or animals), nor any secondary datasets involving data provided by humans (or from animal studies).
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Affiliation(s)
- Ana Paula Belon
- Centre for Healthy Communities, School of Public Health, University of Alberta, 3-035 Edmonton Clinic Health Academy, 11405-87 Ave, Edmonton, Alberta T6G 1C9, Canada
| | - Aryati Yashadhana
- Centre for Primary Health Care & Equity, University of New South Wales, Sydney, Australia
- School of Social Sciences, University of New South Wales, Sydney, Australia
| | - Krystyna Kongats
- Centre for Healthy Communities, School of Public Health, University of Alberta, 3-035 Edmonton Clinic Health Academy, 11405-87 Ave, Edmonton, Alberta T6G 1C9, Canada
| | - Kayla Atkey
- Centre for Healthy Communities, School of Public Health, University of Alberta, 3-035 Edmonton Clinic Health Academy, 11405-87 Ave, Edmonton, Alberta T6G 1C9, Canada
| | - Nicole M. Glenn
- Centre for Healthy Communities, School of Public Health, University of Alberta, 3-035 Edmonton Clinic Health Academy, 11405-87 Ave, Edmonton, Alberta T6G 1C9, Canada
- PolicyWise for Children & Families, 1000 – 9925, 109 Street NW, Edmonton, AB T5K 2J8, Canada
| | - Karla Jaques
- Centre for Primary Health Care & Equity, University of New South Wales, Sydney, Australia
- Ingham Institute for Applied Medical Research, Sydney, Australia
| | - Laura Nieuwendyk
- Centre for Healthy Communities, School of Public Health, University of Alberta, 3-035 Edmonton Clinic Health Academy, 11405-87 Ave, Edmonton, Alberta T6G 1C9, Canada
| | - Patrick Harris
- Centre for Primary Health Care & Equity, University of New South Wales, Sydney, Australia
- Ingham Institute for Applied Medical Research, Sydney, Australia
| | - Evelyne de Leeuw
- Centre for Primary Health Care & Equity, University of New South Wales, Sydney, Australia
- Healthy Urban Environments Collaboratory, Maridulu Budyari Gumal SPHERE, Sydney, Australia
| | - Candace I.J. Nykiforuk
- Centre for Healthy Communities, School of Public Health, University of Alberta, 3-035 Edmonton Clinic Health Academy, 11405-87 Ave, Edmonton, Alberta T6G 1C9, Canada
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Sidky H, Hansen KA, Girvin AT, Hotaling N, Michael SG, Gersing K, Sahner DK. Assessing the effect of selective serotonin reuptake inhibitors in the prevention of post-acute sequelae of COVID-19. Comput Struct Biotechnol J 2024; 24:115-125. [PMID: 38318198 PMCID: PMC10839808 DOI: 10.1016/j.csbj.2023.12.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 02/07/2024] Open
Abstract
Background Post-acute sequelae of COVID-19 (PASC) produce significant morbidity, prompting evaluation of interventions that might lower risk. Selective serotonin reuptake inhibitors (SSRIs) potentially could modulate risk of PASC via their central, hypothesized immunomodulatory, and/or antiplatelet properties although clinical trial data are lacking. Materials and Methods This retrospective study was conducted leveraging real-world clinical data within the National COVID Cohort Collaborative (N3C) to evaluate whether SSRIs with agonist activity at the sigma-1 receptor (S1R) lower the risk of PASC, since agonism at this receptor may serve as a mechanism by which SSRIs attenuate an inflammatory response. Additionally, determine whether the potential benefit could be traced to S1R agonism. Presumed PASC was defined based on a computable PASC phenotype trained on the U09.9 ICD-10 diagnosis code. Results Of the 17,908 patients identified, 1521 were exposed at baseline to a S1R agonist SSRI, 1803 to a non-S1R agonist SSRI, and 14,584 to neither. Using inverse probability weighting and Poisson regression, relative risk (RR) of PASC was assessed.A 29% reduction in the RR of PASC (0.704 [95% CI, 0.58-0.85]; P = 4 ×10-4) was seen among patients who received an S1R agonist SSRI compared to SSRI unexposed patients and a 21% reduction in the RR of PASC was seen among those receiving an SSRI without S1R agonist activity (0.79 [95% CI, 0.67 - 0.93]; P = 0.005).Thus, SSRIs with and without reported agonist activity at the S1R were associated with a significant decrease in the risk of PASC.
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Affiliation(s)
- Hythem Sidky
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Kristen A. Hansen
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
- Axle Research and Technologies, Rockville, MD, USA
| | | | - Nathan Hotaling
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
- Axle Research and Technologies, Rockville, MD, USA
| | - Sam G. Michael
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
- Palantir Technologies, Denver, CO, USA
- Axle Research and Technologies, Rockville, MD, USA
| | - Ken Gersing
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - David K. Sahner
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
- Axle Research and Technologies, Rockville, MD, USA
| | - on behalf of the N3C consortium
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
- Palantir Technologies, Denver, CO, USA
- Axle Research and Technologies, Rockville, MD, USA
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12
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Nisar H, Annamraju S, Deka SA, Horowitz A, Stipanović DM. Robotic mirror therapy for stroke rehabilitation through virtual activities of daily living. Comput Struct Biotechnol J 2024; 24:126-135. [PMID: 38352631 PMCID: PMC10862404 DOI: 10.1016/j.csbj.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 01/23/2024] [Accepted: 01/23/2024] [Indexed: 02/16/2024] Open
Abstract
Mirror therapy is a standard technique of rehabilitation for recovering motor and vision abilities of stroke patients, especially in the case of asymmetric limb function. To enhance traditional mirror therapy, robotic mirror therapy (RMT) has been proposed over the past decade, allowing for assisted bimanual coordination of paretic (affected) and contralateral (healthy) limbs. However, state-of-the-art RMT platforms predominantly target mirrored motions of trajectories, largely limited to 2-D motions. In this paper, an RMT platform is proposed, which can facilitate the patient to practice virtual activities of daily living (ADL) and thus enhance their independence. Two similar (but mirrored) 3D virtual environments are created in which the patients operate robots with both their limbs to complete ADL (such as writing and eating) with the assistance of the therapist. The recovery level of the patient is continuously assessed by monitoring their ability to track assigned trajectories. The patient's robots are programmed to assist the patient in following these trajectories based on this recovery level. In this paper, the framework to dynamically monitor recovery level and accordingly provide assistance is developed along with the nonlinear controller design to ensure position tracking, force control, and stability. Proof-of-concept studies are conducted with both 3D trajectory tracking and ADL. The results demonstrate the potential use of the proposed system to enhance the recovery of the patients.
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Affiliation(s)
- Harris Nisar
- Health Care Engineering Systems Center, University of Illinois Urbana Champaign, 1206 W Clark St, Urbana 61801, IL, USA
| | - Srikar Annamraju
- Coordinated Science Laboratory, University of Illinois Urbana Champaign, 1308 W Main St, Urbana 61801, IL, USA
| | - Shankar A. Deka
- Division of Decision and Control Systems at KTH Royal Institute of Technology, Brinellvägen 8, 114 28 Stockholm, Sweden
| | - Anne Horowitz
- Outpatient Rehabilitation, OSF Healthcare Saint Francis Medical Center, 6501 N Sheridan Rd, Peoria, IL, USA
| | - Dušan M. Stipanović
- Coordinated Science Laboratory, University of Illinois Urbana Champaign, 1308 W Main St, Urbana 61801, IL, USA
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Hashimoto N, Hanada H, Miyoshi H, Nagaishi M, Sato K, Hontani H, Ohshima K, Takeuchi I. Multimodal Gated Mixture of Experts Using Whole Slide Image and Flow Cytometry for Multiple Instance Learning Classification of Lymphoma. J Pathol Inform 2024; 15:100359. [PMID: 38322152 PMCID: PMC10844119 DOI: 10.1016/j.jpi.2023.100359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 12/07/2023] [Accepted: 12/23/2023] [Indexed: 02/08/2024] Open
Abstract
In this study, we present a deep-learning-based multimodal classification method for lymphoma diagnosis in digital pathology, which utilizes a whole slide image (WSI) as the primary image data and flow cytometry (FCM) data as auxiliary information. In pathological diagnosis of malignant lymphoma, FCM serves as valuable auxiliary information during the diagnosis process, offering useful insights into predicting the major class (superclass) of subtypes. By incorporating both images and FCM data into the classification process, we can develop a method that mimics the diagnostic process of pathologists, enhancing the explainability. In order to incorporate the hierarchical structure between superclasses and their subclasses, the proposed method utilizes a network structure that effectively combines the mixture of experts (MoE) and multiple instance learning (MIL) techniques, where MIL is widely recognized for its effectiveness in handling WSIs in digital pathology. The MoE network in the proposed method consists of a gating network for superclass classification and multiple expert networks for (sub)class classification, specialized for each superclass. To evaluate the effectiveness of our method, we conducted experiments involving a six-class classification task using 600 lymphoma cases. The proposed method achieved a classification accuracy of 72.3%, surpassing the 69.5% obtained through the straightforward combination of FCM and images, as well as the 70.2% achieved by the method using only images. Moreover, the combination of multiple weights in the MoE and MIL allows for the visualization of specific cellular and tumor regions, resulting in a highly explanatory model that cannot be attained with conventional methods. It is anticipated that by targeting a larger number of classes and increasing the number of expert networks, the proposed method could be effectively applied to the real problem of lymphoma diagnosis.
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Affiliation(s)
- Noriaki Hashimoto
- RIKEN Center for Advanced Intelligence Project, Furo-cho, Chikusa-ku, Nagoya, 4648603, Japan
| | - Hiroyuki Hanada
- RIKEN Center for Advanced Intelligence Project, Furo-cho, Chikusa-ku, Nagoya, 4648603, Japan
| | - Hiroaki Miyoshi
- Department of Pathology, Kurume University School of Medicine, 67 Asahi-machi, Kurume, 8300011, Japan
| | - Miharu Nagaishi
- Department of Pathology, Kurume University School of Medicine, 67 Asahi-machi, Kurume, 8300011, Japan
| | - Kensaku Sato
- Department of Pathology, Kurume University School of Medicine, 67 Asahi-machi, Kurume, 8300011, Japan
| | - Hidekata Hontani
- Department of Computer Science, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, 4668555, Japan
| | - Koichi Ohshima
- Department of Pathology, Kurume University School of Medicine, 67 Asahi-machi, Kurume, 8300011, Japan
| | - Ichiro Takeuchi
- RIKEN Center for Advanced Intelligence Project, Furo-cho, Chikusa-ku, Nagoya, 4648603, Japan
- Department of Mechanical Systems Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 4648603, Japan
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Mizoguchi T. In vivo dynamics of hard tissue-forming cell origins: Insights from Cre/loxP-based cell lineage tracing studies. Jpn Dent Sci Rev 2024; 60:109-119. [PMID: 38406212 PMCID: PMC10885318 DOI: 10.1016/j.jdsr.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/25/2024] [Accepted: 01/30/2024] [Indexed: 02/27/2024] Open
Abstract
Bone tissue provides structural support for our bodies, with the inner bone marrow (BM) acting as a hematopoietic organ. Within the BM tissue, two types of stem cells play crucial roles: mesenchymal stem cells (MSCs) (or skeletal stem cells) and hematopoietic stem cells (HSCs). These stem cells are intricately connected, where BM-MSCs give rise to bone-forming osteoblasts and serve as essential components in the BM microenvironment for sustaining HSCs. Despite the mid-20th century proposal of BM-MSCs, their in vivo identification remained elusive owing to a lack of tools for analyzing stemness, specifically self-renewal and multipotency. To address this challenge, Cre/loxP-based cell lineage tracing analyses are being employed. This technology facilitated the in vivo labeling of specific cells, enabling the tracking of their lineage, determining their stemness, and providing a deeper understanding of the in vivo dynamics governing stem cell populations responsible for maintaining hard tissues. This review delves into cell lineage tracing studies conducted using commonly employed genetically modified mice expressing Cre under the influence of LepR, Gli1, and Axin2 genes. These studies focus on research fields spanning long bones and oral/maxillofacial hard tissues, offering insights into the in vivo dynamics of stem cell populations crucial for hard tissue homeostasis.
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Rosati D, Palmieri M, Brunelli G, Morrione A, Iannelli F, Frullanti E, Giordano A. Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review. Comput Struct Biotechnol J 2024; 23:1154-1168. [PMID: 38510977 PMCID: PMC10951429 DOI: 10.1016/j.csbj.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/22/2024] Open
Abstract
In recent years, the role of bioinformatics and computational biology together with omics techniques and transcriptomics has gained tremendous importance in biomedicine and healthcare, particularly for the identification of biomarkers for precision medicine and drug discovery. Differential gene expression (DGE) analysis is one of the most used techniques for RNA-sequencing (RNA-seq) data analysis. This tool, which is typically used in various RNA-seq data processing applications, allows the identification of differentially expressed genes across two or more sample sets. Functional enrichment analyses can then be performed to annotate and contextualize the resulting gene lists. These studies provide valuable information about disease-causing biological processes and can help in identifying molecular targets for novel therapies. This review focuses on differential gene expression (DGE) analysis pipelines and bioinformatic techniques commonly used to identify specific biomarkers and discuss the advantages and disadvantages of these techniques.
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Affiliation(s)
- Diletta Rosati
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Cancer Genomics & Systems Biology Lab, Dept. of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Maria Palmieri
- Cancer Genomics & Systems Biology Lab, Dept. of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Giulia Brunelli
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Andrea Morrione
- Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA
| | - Francesco Iannelli
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Elisa Frullanti
- Cancer Genomics & Systems Biology Lab, Dept. of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Antonio Giordano
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA
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Guo H, Hu Z, Yang X, Yuan Z, Wang M, Chen C, Xie L, Gao Y, Li W, Bai Y, Lin C. Smad4 regulates TGF-β1-mediated hedgehog activation to promote epithelial-to-mesenchymal transition in pancreatic cancer cells by suppressing Gli1 activity. Comput Struct Biotechnol J 2024; 23:1189-1200. [PMID: 38525105 PMCID: PMC10957521 DOI: 10.1016/j.csbj.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 03/10/2024] [Accepted: 03/10/2024] [Indexed: 03/26/2024] Open
Abstract
Pancreatic cancer (PC) is an aggressive and metastatic gastrointestinal tumor with a poor prognosis. Persistent activation of the TGF-β/Smad signaling induces PC cell (PCC) invasion and infiltration via epithelial-to-mesenchymal transition (EMT). Hedgehog signaling is a crucial pathway for the development of PC via the transcription factors Gli1/2/3. This study aimed to investigate the underlying molecular mechanisms of action of hedgehog activation in TGF-β1-triggered EMT in PCCs (PANC-1 and BxPc-3). In addition, overexpression and shRNA techniques were used to evaluate the role of Smad4 in TGF-β1-treated PCCs. Our data showed that TGF-β1 promoted PCC invasion and infiltration via Smad2/3-dependent EMT. Hedgehog-Gli signaling axis in PCCs was activated upon TGF-β1 stimulation. Inhibition of hedgehog with cyclopamine effectively antagonized TGF-β1-induced EMT, thereby suggesting that the hedgehog signaling may act as a downstream cascade signaling of TGF-β1. As a key protein that assists the nuclear translocation of Smad2/3, Smad4 was highly expressed in PANC-1 cells, but not in BxPc-3 cells. Conversely, Gli1 expression was low in PANC-1 cells, but high in BxPc-3 cells. Furthermore, knockdown of Smad4 in PANC-1 cells by shRNA inhibited TGF-β1-mediated EMT and collagen deposition. Overexpression of Smad4 did not affect TGF-β1-mediated EMT due to the lack of significant increase in nuclear expression of Smad4. Importantly, Gli1 activity was upregulated by Smad4 knockdown in PANC-1 cells and downregulated by Smad4 overexpression in BxPc-3 cells, indicating that Gli1 may be a negative target protein downstream of Smad4. Thus, Smad4 regulates TGF-β1-mediated hedgehog activation to promote EMT in PCCs by suppressing Gli1 activity.
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Affiliation(s)
- Hangcheng Guo
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
- Sichuan Mianyang 404 Hospital, Mianyang 621000, China
| | - Zujian Hu
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Xuejia Yang
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Ziwei Yuan
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Mengsi Wang
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Chaoyue Chen
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Lili Xie
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Yuanyuan Gao
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Wangjian Li
- Department of Urology, The Central Hospital Affiliated to Shaoxing University, Shaoxing 312030, China
| | - Yongheng Bai
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
- National Key Clinical Specialty (General Surgery), The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Chunjing Lin
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
- Medicine and Health Care Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
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17
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van de Riet L, Aris AM, Verouden NW, van Rooij T, van Woensel JB, van Karnebeek CD, Alsem MW. Designing eHealth interventions for children with complex care needs requires continuous stakeholder collaboration and co-creation. PEC Innov 2024; 4:100280. [PMID: 38596601 PMCID: PMC11002852 DOI: 10.1016/j.pecinn.2024.100280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/25/2024] [Accepted: 03/27/2024] [Indexed: 04/11/2024]
Abstract
Objective Hospital-to-home (H2H) transitions challenge families of children with medical complexity (CMC) and healthcare professionals (HCP). This study aimed to gain deeper insights into the H2H transition process and to work towards eHealth interventions for its improvement, by applying an iterative methodology involving both CMC families and HCP as end-users. Methods For 20-weeks, the Dutch Transitional Care Unit consortium collaborated with the Amsterdam University of Applied Sciences, HCP, and CMC families. The agile SCREAM approach was used, merging Design Thinking methods into five iterative sprints to stimulate creativity, ideation, and design. Continuous communication allowed rapid adaptation to new information and the refinement of solutions for subsequent sprints. Results This iterative process revealed three domains of care - care coordination, social wellbeing, and emotional support - that were important to all stakeholders. These domains informed the development of our final prototype, 'Our Care Team', an application tailored to meet the H2H transition needs for CMC families and HCP. Conclusion Complex processes like the H2H transition for CMC families require adaptive interventions that empower all stakeholders in their respective roles, to promote transitional care that is anticipatory, rather than reactive. Innovation A collaborative methodology is needed, that optimizes existing resources and knowledge, fosters innovation through collaboration while using creative digital design principles. This way, we might be able to design eHealth solutions with end-users, not just for them.
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Affiliation(s)
- Liz van de Riet
- Amsterdam UMC, University of Amsterdam, Department of Pediatric Intensive Care, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Reproduction & Development Research Institute, Amsterdam, the Netherlands
- On behalf of the Transitional Care Unit Consortium, the Netherlands
| | - Anna M. Aris
- University of Applied Sciences, Digital Society School, Theo Thijssen Huis, Wibautstraat 2, 1091 GM Amsterdam, the Netherlands
- Athena Institute, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
| | - Nick W. Verouden
- University of Applied Sciences, Digital Society School, Theo Thijssen Huis, Wibautstraat 2, 1091 GM Amsterdam, the Netherlands
| | - Tibor van Rooij
- Department of Computer Science, University of British Columbia, BC Children's Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - Job B.M. van Woensel
- Amsterdam UMC, University of Amsterdam, Department of Pediatric Intensive Care, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- On behalf of the Transitional Care Unit Consortium, the Netherlands
| | - Clara D. van Karnebeek
- On behalf of the Transitional Care Unit Consortium, the Netherlands
- Amsterdam UMC, University of Amsterdam, Emma Center for Personalized Medicine, Departments of Pediatrics and Human Genetics, Amsterdam Gastro-Enterology Endocrinology and Metabolism, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - Mattijs W. Alsem
- On behalf of the Transitional Care Unit Consortium, the Netherlands
- Amsterdam UMC, University of Amsterdam, Department of Rehabilitation, Amsterdam Movement Sciences, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
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Annamma LM, Hattori M, Ali IE, Dsouza J, Waqar A, Chugh A, Sumita YI. Frequently used extraoral maxillofacial prosthetic materials and their longevity - A comprehensive review. Jpn Dent Sci Rev 2024; 60:137-147. [PMID: 38595985 PMCID: PMC11001625 DOI: 10.1016/j.jdsr.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 02/27/2024] [Accepted: 03/19/2024] [Indexed: 04/11/2024] Open
Abstract
The longevity of an extraoral prosthesis depends on its physical and mechanical properties and user maintenance. Faced with multiple outcome measures, researchers find it difficult to determine the most appropriate extraoral prosthetic material. This comprehensive review evaluates the most used extraoral prosthesis materials and qualitatively assesses their longevity and function. The study aims to identify and interpret the results of current updates on the factors that affect longevity and functionality. This comprehensive review summarizes and evaluates differences in the properties of commonly used extraoral maxillofacial prosthetic materials. The review was planned to focus on all factors related to the longevity and function of the extraoral maxillofacial prosthetics. An electronic search covered English articles in PubMed, Scopus, Google Scholar, Web of Science, and grey literature. Manual searching was also performed. Six authors participated in the screening. Search engines extracted 1107 records, and 88 studies were included for qualitative and bias assessments. Silicones are the most frequently used extraoral maxillofacial prosthetic materials. Heat-cured silicones are more color-stable than those cured at room temperature. Additional ingredients and processing techniques affect prosthesis longevity.
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Affiliation(s)
- Lovely M. Annamma
- Department of Clinical Sciences, College of Dentistry, Ajman University, Ajman, United Arab Emirates
| | - Mariko Hattori
- Advanced Prosthodontics, Tokyo Medical and Dental University, Tokyo, Japan
| | - Islam E. Ali
- Advanced Prosthodontics, Tokyo Medical and Dental University, Tokyo, Japan
- Department of Prosthodontics, Faculty of Dentistry, Mansoura University, Mansoura, Egypt
| | - Jovita Dsouza
- Department of Periodontics, Gulf Medical University, Ajman, United Arab Emirates
| | - Anam Waqar
- AI Hayat Medical Center, UmAl Quain, UAE
| | - Anshul Chugh
- Advanced Prosthodontics, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yuka I. Sumita
- Division of General Dentistry 4, Nippon Dental University Hospital, Tokyo, Japan
- Tokyo Medical and Dental University, Tokyo, Japan
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Yang Z, Cui X, Fan X, Ruan Y, Xiang Z, Ji L, Gao H, Zhang M, Shan S, Liu W. "Active carbon" is more advantageous to the bacterial community in the rice rhizosphere than "stable carbon". Comput Struct Biotechnol J 2024; 23:1288-1297. [PMID: 38560279 PMCID: PMC10978811 DOI: 10.1016/j.csbj.2024.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 03/01/2024] [Accepted: 03/12/2024] [Indexed: 04/04/2024] Open
Abstract
Carbon materials are commonly used for soil carbon sequestration and fertilization, which can also affect crop growth by manipulating the rhizosphere bacterial community. However, the comparison of the differences between active carbon (e.g., organic fertilizers) and stable carbon (e.g., biochar) on rhizosphere microdomains is still unclear. Hence, a trial was implemented to explore the influence of control (CK, no fertilizer; NPK, chemical fertilizer), organic fertilizer (CF-O, organic fertilizer; CF-BO, biochar-based organic fertilizer) and biochar material (CF-B, perishable garbage biochar; CF-PMB, pig manure biochar) on the diversity, composition, and interaction of rice rhizosphere bacterial community through 16 S rRNA gene high-throughput sequencing. Our results demonstrate that organic fertilizer increases bacterial alpha-diversity compared to no-carbon supply treatment to the extend, whereas biochar has the opposite effect. The rhizosphere bacterial community composition showed pronounced variations among the various fertilization treatments. The relative abundance in Firmicutes decreased with organic fertilizer application, whereas that in Chloroflexi and Actinobacteria decreased with biochar application. Bacterial network analysis demonstrate that organic fertilizer enhances the complexity and key taxa of bacterial interactions, while biochar exhibits an opposing trend. The findings of our study indicate that organic fertilizer may contribute to a positive and advantageous impact on bacterial diversity and interaction in rice rhizosphere, whereas the influence of biochar is not as favorable and constructive. This study lays the foundation for elucidating the fate of the rhizosphere bacterial community following different carbon material inputs in the context of sustainable agricultural development.
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Affiliation(s)
- Zongkun Yang
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, School of Environmental and Natural Resources, Zhejiang University of Science and Technology, Hangzhou, China
| | - Xin Cui
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, School of Environmental and Natural Resources, Zhejiang University of Science and Technology, Hangzhou, China
| | - Xiaoge Fan
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, School of Environmental and Natural Resources, Zhejiang University of Science and Technology, Hangzhou, China
| | - Yefeng Ruan
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, School of Environmental and Natural Resources, Zhejiang University of Science and Technology, Hangzhou, China
| | - Zhennan Xiang
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, School of Environmental and Natural Resources, Zhejiang University of Science and Technology, Hangzhou, China
| | - Lingfei Ji
- Department of Biology, University of York, York, UK
| | - Han Gao
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Nanjing, China
| | - Min Zhang
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, School of Environmental and Natural Resources, Zhejiang University of Science and Technology, Hangzhou, China
| | - Shengdao Shan
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, School of Environmental and Natural Resources, Zhejiang University of Science and Technology, Hangzhou, China
| | - Wenbo Liu
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, School of Environmental and Natural Resources, Zhejiang University of Science and Technology, Hangzhou, China
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Zeng M, He Y, Yang Y, Wang M, Chen Y, Wei X. Mesenchymal stem cell-derived extracellular vesicles relieve endothelial cell senescence via recovering CTRP9 upon repressing miR-674-5p in atherosclerosis. Regen Ther 2024; 27:354-364. [PMID: 38645280 PMCID: PMC11031720 DOI: 10.1016/j.reth.2024.03.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 03/14/2024] [Accepted: 03/24/2024] [Indexed: 04/23/2024] Open
Abstract
Background The senescence of endothelial cells is of great importance involving in atherosclerosis (AS) development. Recent studies have proved the protective role of mesenchymal stem cell-derived extracellular vesicles in AS, herein, we further desired to unvei their potential regulatory mechanisms in endothelial cell senescence. Methods Senescence induced by H2O2 in primary mouse aortic endothelial cells (MAECs) was evaluated by SA-β-gal staining. Targeted molecule expression was detected by qRT-PCR and Western blotting. The biological functions of MAECs were determined by CCK-8, flow cytometry, transwell, and tube formation assays. Oxidative injury was assessed by LDH, total and lipid ROS, LPO and MDA levels. The proliferation of adipose-derived mesenchymal stem cell (ADSCs) was analyzed by EdU assay. Effect of ADSCs-derived extracellular vesicles (ADSC-EVs) on AS was investigated in HFD-fed ApoE-/- mice. Results miR-674-5p was up-regulated, while C1q/TNF-related protein 9 (CTRP9) was down-regulated in H2O2-induced senescent MAECs. CTRP9 was demonstrated as a target gene of miR-674-5p. miR-674-5p inhibition restrained senescence, oxidative stress, promoted proliferation, migration, and angiogenesis of H2O2-stimulated MAECs via enhancing CTRP9 expression. Moreover, treatment with ADSC-EVs inhibited H2O2-induced senescence and dysfunction of MAECs through regulating miR-674-5p/CTRP9 axis. In the in vivo AS mouse model, ADSC-EVs combination with miR-674-5p silencing slowed down AS progression via up-regulation of CTRP9. Conclusion ADSC-EVs repressed endothelial cell senescence and improved dysfunction via promotion of CTRP9 expression upon miR-674-5p deficiency during AS progression, which might provide vital evidence for ADSC-EVs as a promising therapy for AS.
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Affiliation(s)
- Min Zeng
- Medical Center, Hainan Affiliated Hospital of Hainan Medical University (Hainan General Hospital), Haikou 570311, Hainan Province, PR China
| | - Yangli He
- Medical Center, Hainan Affiliated Hospital of Hainan Medical University (Hainan General Hospital), Haikou 570311, Hainan Province, PR China
| | - Yali Yang
- Hainan Medical University, Haikou 570311, Hainan Province, PR China
| | - Mengdi Wang
- Hainan Medical University, Haikou 570311, Hainan Province, PR China
| | - Yue Chen
- Hainan Medical University, Haikou 570311, Hainan Province, PR China
| | - Xin Wei
- Department of Otolaryngology Head and Neck Surgery, Hainan Affiliated Hospital of Hainan Medical University (Hainan General Hospital), Haikou 570311, Hainan Province, PR China
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Thuangtong R, Suthakorn J. Design, proof-of-concept of single robotic hair transplant mechanisms for both harvest and implant of hair grafts. Comput Struct Biotechnol J 2024; 24:31-45. [PMID: 38162956 PMCID: PMC10755542 DOI: 10.1016/j.csbj.2023.11.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 01/03/2024] Open
Abstract
The design and development of a prototype for a singular robotic hair transplant system capable of harvesting and implanting hair grafts were executed in this study. To establish a proof-of-concept for hair transplant procedures involving harvesting and implantation, a test system using a spherical phantom of the scalp was selected. The developed prototype of the robotic hair transplant system demonstrates the potential to reduce the duration that grafts remain without a blood supply, thereby minimizing hair graft damage. Additionally, the overall operation time for follicular unit extraction is comparatively shorter than that of conventional systems. Results from the robot vision tests indicate an 89.6% accuracy for hair graft detection with a 4 mm hair length phantom and 97.4% for a 2 mm hair length phantom. In the robot position control test, the root mean square error was found to be 1.268°, with a standard error of the mean of 0.203°. These outcomes suggest that the proposed system performs effectively under the conditions of a spherical phantom with a 2 mm hair length and a 5 mm distance between harvests.
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Affiliation(s)
- Rattapon Thuangtong
- Department of Biomedical Engineering, Center for Biomedical and Robotics Technology, Faculty of Engineering, Mahidol University, Salaya, Thailand
- Department of Dermatology, Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand
| | - Jackrit Suthakorn
- Department of Biomedical Engineering, Center for Biomedical and Robotics Technology, Faculty of Engineering, Mahidol University, Salaya, Thailand
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22
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Donovan EE, Shaffer A, Kaiser E, Quaack K, Mackert M, Shi W, De Luca D. Development and refinement of a communication guide to help young adults in Texas reconnect and reduce loneliness. PEC Innov 2024; 4:100246. [PMID: 38145251 PMCID: PMC10733666 DOI: 10.1016/j.pecinn.2023.100246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/11/2023] [Accepted: 12/08/2023] [Indexed: 12/26/2023]
Abstract
Objective Loneliness among young people is a contemporary public health crisis exacerbated by the COVID-19 pandemic. The present research examined the development of a modest yet meaningful health communication intervention resource that would become an asset in a larger health campaign: a communication guide aimed at helping young people reach out and reconnect with others. Methods Study One established the need for a loneliness intervention in Texas with survey data (N = 795). A communication guide was developed based on research and theory. Study Two employed focus group interviews with potential audience members (N = 31) to critically assess and inform revisions to the communication guide. Results Study One results indicated that a substantial proportion of young adult Texans felt as though their social connection had decreased and their loneliness had increased since the onset of the pandemic. Themes in focus group responses from Study Two suggested several strengths of the communication guide and some opportunities for revision. Conclusion A communication guide with tips for reconnecting could be a valuable tool to empower young people and promote social connection. Innovation This study involved the development and refinement of a new communication resource that was informed by a priority audience of a major health communication campaign.
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Affiliation(s)
- Erin E. Donovan
- Department of Communication Studies, Moody College of Communication, The University of Texas at Austin, Austin, TX, USA
- Center for Health Communication, Moody College of Communication & Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Audrey Shaffer
- Department of Communication Studies, Moody College of Communication, The University of Texas at Austin, Austin, TX, USA
| | - Emily Kaiser
- Department of Communication Studies, Moody College of Communication, The University of Texas at Austin, Austin, TX, USA
| | - Karly Quaack
- Department of Communication Studies, Moody College of Communication, The University of Texas at Austin, Austin, TX, USA
| | - Michael Mackert
- Center for Health Communication, Moody College of Communication & Dell Medical School, The University of Texas at Austin, Austin, TX, USA
- Stan Richards School of Advertising & Public Relations, Moody College of Communication, The University of Texas at Austin, Austin, TX, USA
| | - Weijia Shi
- Center for Health Communication, Moody College of Communication & Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Daniela De Luca
- Stan Richards School of Advertising & Public Relations, Moody College of Communication, The University of Texas at Austin, Austin, TX, USA
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23
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Tan HQ, Cai J, Tay SH, Sim AY, Huang L, Chua ML, Tang Y. Cluster-based radiomics reveal spatial heterogeneity of bevacizumab response for treatment of radiotherapy-induced cerebral necrosis. Comput Struct Biotechnol J 2024; 23:43-51. [PMID: 38125298 PMCID: PMC10730953 DOI: 10.1016/j.csbj.2023.11.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 11/21/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023] Open
Abstract
Background Bevacizumab is used in the treatment of radiation necrosis (RN), which is a debilitating toxicity following head and neck radiotherapy. However, there is no biomarker to predict if a patient would respond to bevacizumab. Purpose We aimed to develop a cluster-based radiomics approach to characterize the spatial heterogeneity of RN and map their responses to bevacizumab. Methods 118 consecutive nasopharyngeal carcinoma patients diagnosed with RN were enrolled. We divided 152 lesions from the patients into 101 for training, and 51 for validation. We extracted voxel-level radiomics features from each lesion segmented on T1-weighted+contrast and T2 FLAIR sequences of pre- and post-bevacizumab magnetic resonance images, followed by a three-step analysis involving individual- and population-level clustering, before delta-radiomics to derive five radiomics clusters within the lesions. We tested the association of each cluster with response to bevacizumab and developed a clinico-radiomics model using clinical predictors and cluster-specific features. Results 71 (70.3%) and 34 (66.7%) lesions had responded to bevacizumab in the training and validation datasets, respectively. Two radiomics clusters were spatially mapped to the edema region, and the volume changes were significantly associated with bevacizumab response (OR:11.12 [95% CI: 2.54-73.47], P = 0.004; and 1.63[1.07-2.78], P = 0.042). The combined clinico-radiomics model based on textural features extracted from the most significant cluster improved the prediction of bevacizumab response, compared with a clinical-only model (AUC:0.755 [0.645-0.865] to 0.852 [0.764-0.940], training; 0.708 [0.554-0.861] to 0.816 [0.699-0.933], validation). Conclusion Our radiomics approach yielded intralesional resolution, enabling a more refined feature selection for predicting bevacizumab efficacy in the treatment of RN.
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Affiliation(s)
- Hong Qi Tan
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore
| | - Jinhua Cai
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
- Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Shi Hui Tay
- Division of Medical Sciences, National Cancer Centre Singapore, Singapore
| | - Adelene Y.L. Sim
- Division of Medical Sciences, National Cancer Centre Singapore, Singapore
| | - Luo Huang
- Department of Radiation Oncology, Chongqing University Cancer Hospital, People's Republic of China
| | - Melvin L.K. Chua
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore
- Division of Medical Sciences, National Cancer Centre Singapore, Singapore
- Oncology Academic Programme, Duke-NUS Medical School, Singapore
| | - Yamei Tang
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
- Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China
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Eze C. Sleep health among medical students in Abakaliki Nigeria: A descriptive study. Sleep Med X 2024; 7:100103. [PMID: 38283143 PMCID: PMC10821605 DOI: 10.1016/j.sleepx.2024.100103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 11/01/2023] [Accepted: 01/04/2024] [Indexed: 01/30/2024] Open
Abstract
Background Sleep health focuses on those measurable characteristics of sleep that are most clearly associated with physical, mental, and neurobehavioral well-being, and not necessarily the absence of sleep disorder. Sleep health is characterised by subjective satisfaction, appropriate timing, adequate duration, high efficiency, and sustained alertness during waking hours. Adequate and restful sleep is particularly crucial for medical students, who face unique challenges due to the demanding nature of their academic and clinical responsibilities. There is limited data on sleep health among medical students in Nigeria. Objectives This research study investigated the pattern of sleep health among medical students in Abakaliki Nigeria. Methods This cross-sectional observational study was undertaken among the medical students of 2 public institutions in Abakaliki Nigeria from 16th to 23rd June 2023. Results Out of the 288 medical students (males- 53.1 %, females- 46.9 %), good sleep health was recorded in 6.6 %. The mean SATED sleep score was 4.9 ± 1.7 (male- 4.9 ± 1.8, female- 4.9 ± 1.6) (p-value = 1) and it was significantly lower among the final-year students. Age difference, sex difference, and presence of chronic headache did not significantly affect the SATED sleep score. The mean sleep duration was 6.1 ± 1.5 hours (male- 6.1 ± 1.6, female- 6.0 ± 1.4). Sleep duration (54.5 %) had the best rating while sleep efficiency (44 %) had the lowest rating among the assessed sleep domains. Conclusion Sleep health is poor among medical students in Abakaliki Nigeria and significantly poorer among final-year medical students.
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Affiliation(s)
- Chukwuemeka Eze
- Neurology Unit, Internal Medicine Department, Alex Ekwueme Federal University Teaching Hospital, Abakaliki, (AEFUTHA), Ebonyi State, Nigeria
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25
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Zhou S, Lin N, Yu L, Su X, Liu Z, Yu X, Gao H, Lin S, Zeng Y. Single-cell multi-omics in the study of digestive system cancers. Comput Struct Biotechnol J 2024; 23:431-445. [PMID: 38223343 PMCID: PMC10787224 DOI: 10.1016/j.csbj.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 12/07/2023] [Accepted: 12/07/2023] [Indexed: 01/16/2024] Open
Abstract
Digestive system cancers are prevalent diseases with a high mortality rate, posing a significant threat to public health and economic burden. The diagnosis and treatment of digestive system cancer confront conventional cancer problems, such as tumor heterogeneity and drug resistance. Single-cell sequencing (SCS) emerged at times required and has developed from single-cell RNA-seq (scRNA-seq) to the single-cell multi-omics era represented by single-cell spatial transcriptomics (ST). This article comprehensively reviews the advances of single-cell omics technology in the study of digestive system tumors. While analyzing and summarizing the research cases, vital details on the sequencing platform, sample information, sampling method, and key findings are provided. Meanwhile, we summarize the commonly used SCS platforms and their features, as well as the advantages of multi-omics technologies in combination. Finally, the development trends and prospects of the application of single-cell multi-omics technology in digestive system cancer research are prospected.
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Affiliation(s)
- Shuang Zhou
- The Second Clinical Medical School of Fujian Medical University, Quanzhou, Fujian Province, China
- The Clinical Center of Molecular Diagnosis and Therapy, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Nanfei Lin
- The Clinical Center of Molecular Diagnosis and Therapy, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Liying Yu
- The Clinical Center of Molecular Diagnosis and Therapy, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xiaoshan Su
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Respirology Medicine Centre of Fujian Province, Quanzhou, China
| | - Zhenlong Liu
- Lady Davis Institute for Medical Research, Jewish General Hospital, & Division of Experimental Medicine, Department of Medicine, McGill University, Montreal, QC, Canada
| | - Xiaowan Yu
- Clinical Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Hongzhi Gao
- The Clinical Center of Molecular Diagnosis and Therapy, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Shu Lin
- Centre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, Sydney, NSW 2010, Australia
| | - Yiming Zeng
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Respirology Medicine Centre of Fujian Province, Quanzhou, China
- Fujian Provincial Key Laboratory of Lung Stem Cells, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong Province, China
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Li J, Yu T, Sun J, Ma M, Zheng Z, Kang W, Ye X. Comprehensive integration of single-cell RNA and transcriptome RNA sequencing to establish a pyroptosis-related signature for improving prognostic prediction of gastric cancer. Comput Struct Biotechnol J 2024; 23:990-1004. [PMID: 38404710 PMCID: PMC10884435 DOI: 10.1016/j.csbj.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/04/2024] [Accepted: 02/04/2024] [Indexed: 02/27/2024] Open
Abstract
Cell pyroptosis, a Gasdermin-dependent programmed cell death characterized by inflammasome, plays a complex and dynamic role in Gastric cancer (GC), a serious threat to human health. Therefore, the value of pyroptosis-related genes (PRGs) as prognostic biomarkers and therapeutic indicators for patients needs to be exploited in GC. This study integrates single-cell RNA sequencing (scRNA-seq) dataset GSE183904 with GC transcriptome data from the TCGA database, focusing on the expression and distribution of PRGs in GC at the single-cell level. The prognostic signature of PRGs was established by using Cox and LASSO analyses. The differences in long-term prognosis, immune infiltration, mutation profile, CD274 and response to chemotherapeutic drugs between the two groups were analyzed and evaluated. A tissue array was used to verify the expression of six PRGs, CD274, CD163 and FoxP3. C12orf75, VCAN, RGS2, MKNK2, SOCS3 and TNFAIP2 were successfully screened out to establish a signature to potently predict the survival time of GC patients. A webserver (https://pumc.shinyapps.io/GastricCancer/) for prognostic prediction in GC patients was developed based on this signature. High-risk score patients typically had worse prognoses, resistance to classical chemotherapy, and a more immunosuppressive tumor microenvironment. VCAN, TNFAIP2 and SOCS3 were greatly elevated in the GC while RGS2 and MKNK2 were decreased in the tumor samples. Further, VCAN was positively related to the infiltrations of Tregs and M2 TAMs in GC TME and the CD274 in tumor cells. In summary, a potent pyroptosis-related signature was established to accurately forecast the survival time and treatment responsiveness of GC patients.
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Affiliation(s)
| | | | - Juan Sun
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, 100730 Beijing, People’s Republic of China
| | - Mingwei Ma
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, 100730 Beijing, People’s Republic of China
| | - Zicheng Zheng
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, 100730 Beijing, People’s Republic of China
| | - Weiming Kang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, 100730 Beijing, People’s Republic of China
| | - Xin Ye
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, 100730 Beijing, People’s Republic of China
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Li H, Wei J, Li M, Li Y, Zhang T, Tian J, Liu X, Li K, Lin J. Biological characteristics of Muse cells derived from MenSCs and their application in acute liver injury and intracerebral hemorrhage diseases. Regen Ther 2024; 27:48-62. [PMID: 38496012 PMCID: PMC10940801 DOI: 10.1016/j.reth.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/16/2024] [Accepted: 03/03/2024] [Indexed: 03/19/2024] Open
Abstract
The increasing interest in multilineage differentiating stress-enduring (Muse) cells within the field of regenerative medicine is attributed to their exceptional homing capabilities, prolonged viability in adverse conditions, and enhanced three-germ-layer differentiate ability, surpassing their parent mesenchymal stem cells. Given their abundant sources, non-invasive collection procedure, and periodic availability, human menstrual blood-derived endometrium stem cells (MenSCs) have been extensively investigated as a potential resource for stem cell-based therapies. However, there is no established modality to isolate Muse cells from MenSCs and disparity in gene expression profiles between Muse cells and MenSCs remain unknown. In this study, Muse cells were isolated from MenSCs by long-time trypsin incubation method. Muse cells expressed pluripotency markers and could realize multilineage differentiation in vitro. Compared with MenSCs, Muse cells showed enhanced homing ability and superior therapeutic efficacy in animal models of acute liver injury (ALI) and intracerebral hemorrhage (ICH). Furthermore, the RNA-seq analysis offers insights into the mechanism underlying the disparity in trypsin resistance and migration ability between Muse and MenSCs cells. This research offers a significant foundation for further exploration of cell-based therapies using MenSCs-derived Muse cells in the context of various human diseases, highlighting their promising application in the field of regenerative medicine.
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Affiliation(s)
- Han Li
- Stem Cells and Biotherapy Engineering Research Center of Henan, National Joint Engineering Laboratory of Stem Cells and Biotherapy, School of Life Science and Technology, Xinxiang Medical University, Xinxiang 453003, China
| | - Jinghui Wei
- Stem Cells and Biotherapy Engineering Research Center of Henan, National Joint Engineering Laboratory of Stem Cells and Biotherapy, School of Life Science and Technology, Xinxiang Medical University, Xinxiang 453003, China
| | - Mingzhi Li
- Stem Cells and Biotherapy Engineering Research Center of Henan, National Joint Engineering Laboratory of Stem Cells and Biotherapy, School of Life Science and Technology, Xinxiang Medical University, Xinxiang 453003, China
| | - Yaoqiang Li
- Stem Cells and Biotherapy Engineering Research Center of Henan, National Joint Engineering Laboratory of Stem Cells and Biotherapy, School of Life Science and Technology, Xinxiang Medical University, Xinxiang 453003, China
| | - Tong Zhang
- Stem Cells and Biotherapy Engineering Research Center of Henan, National Joint Engineering Laboratory of Stem Cells and Biotherapy, School of Life Science and Technology, Xinxiang Medical University, Xinxiang 453003, China
| | - Jialu Tian
- Stem Cells and Biotherapy Engineering Research Center of Henan, National Joint Engineering Laboratory of Stem Cells and Biotherapy, School of Life Science and Technology, Xinxiang Medical University, Xinxiang 453003, China
| | - Xuejia Liu
- Stem Cells and Biotherapy Engineering Research Center of Henan, National Joint Engineering Laboratory of Stem Cells and Biotherapy, School of Life Science and Technology, Xinxiang Medical University, Xinxiang 453003, China
| | - Kangjia Li
- Stem Cells and Biotherapy Engineering Research Center of Henan, National Joint Engineering Laboratory of Stem Cells and Biotherapy, School of Life Science and Technology, Xinxiang Medical University, Xinxiang 453003, China
| | - Juntang Lin
- Henan Joint International Research Laboratory of Stem Cell Medicine, School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China
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Flierman M, Bossen D, de Boer R, Vriend E, van Nes F, van Kaam A, Engelbert R, Jeukens-Visser M. Parents' information needs during the first year at home with their very premature born child; a qualitative study. PEC Innov 2024; 4:100270. [PMID: 38495319 PMCID: PMC10940942 DOI: 10.1016/j.pecinn.2024.100270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/16/2024] [Accepted: 02/28/2024] [Indexed: 03/19/2024]
Abstract
Objective To obtain insights into parents' information needs during the first year at home with their very preterm (VP) born infant. Methods We conducted semi-structured interviews with parents of VP infants participating in a post-discharge responsive parenting intervention (TOP program). Online interviews were audiotaped and transcribed verbatim. Inductive thematic analysis was performed by two independent coders. Results Ten participants were interviewed and had various and changing information needs during the developmental trajectory of their infant. Three main themes emerged; (1) Help me understand and cope, (2) Be fully responsible for my baby, and (3) Teach me to do it myself. Available and used sources, such as the Internet, did not meet their information needs. Participants preferred their available and knowledgeable healthcare professionals for reassurance, tailored information, and practical guidance. Conclusion This study identified parents' information needs during the first year at home with their VP infant and uncovered underlying re-appearing needs to gain confidence in child-caring abilities and autonomy in decision-making about their infants' care. Innovation This study provides valuable information for healthcare professionals and eHealth developers to support parental self-efficacy during the first year after preterm birth.
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Affiliation(s)
- Monique Flierman
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands
- Faculty of Health, Amsterdam university of applied sciences, Amsterdam, the Netherlands
| | - Daniel Bossen
- Faculty of Health, Amsterdam university of applied sciences, Amsterdam, the Netherlands
| | - Rosa de Boer
- Faculty of Health, Amsterdam university of applied sciences, Amsterdam, the Netherlands
| | - Eline Vriend
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Fenna van Nes
- Faculty of Health, Amsterdam university of applied sciences, Amsterdam, the Netherlands
| | - Anton van Kaam
- Department of Neonatology, Emma Children's Hospital, Amsterdam University Medical center, Amsterdam, the Netherlands
| | - Raoul Engelbert
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands
- Faculty of Health, Amsterdam university of applied sciences, Amsterdam, the Netherlands
| | - Martine Jeukens-Visser
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands
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Yang Y, Lu Y, Zheng Z, Wu H, Lin Y, Qian F, Yan W. MKG-GC: A multi-task learning-based knowledge graph construction framework with personalized application to gastric cancer. Comput Struct Biotechnol J 2024; 23:1339-1347. [PMID: 38585647 PMCID: PMC10995799 DOI: 10.1016/j.csbj.2024.03.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/24/2024] [Accepted: 03/24/2024] [Indexed: 04/09/2024] Open
Abstract
Over the past decade, information for precision disease medicine has accumulated in the form of textual data. To effectively utilize this expanding medical text, we proposed a multi-task learning-based framework based on hard parameter sharing for knowledge graph construction (MKG), and then used it to automatically extract gastric cancer (GC)-related biomedical knowledge from the literature and identify GC drug candidates. In MKG, we designed three separate modules, MT-BGIPN, MT-SGTF and MT-ScBERT, for entity recognition, entity normalization, and relation classification, respectively. To address the challenges posed by the long and irregular naming of medical entities, the MT-BGIPN utilized bidirectional gated recurrent unit and interactive pointer network techniques, significantly improving entity recognition accuracy to an average F1 value of 84.5% across datasets. In MT-SGTF, we employed the term frequency-inverse document frequency and the gated attention unit. These combine both semantic and characteristic features of entities, resulting in an average Hits@ 1 score of 94.5% across five datasets. The MT-ScBERT integrated cross-text, entity, and context features, yielding an average F1 value of 86.9% across 11 relation classification datasets. Based on the MKG, we then developed a specific knowledge graph for GC (MKG-GC), which encompasses a total of 9129 entities and 88,482 triplets. Lastly, the MKG-GC was used to predict potential GC drugs using a pre-trained language model called BioKGE-BERT and a drug-disease discriminant model based on CNN-BiLSTM. Remarkably, nine out of the top ten predicted drugs have been previously reported as effective for gastric cancer treatment. Finally, an online platform was created for exploration and visualization of MKG-GC at https://www.yanglab-mi.org.cn/MKG-GC/.
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Affiliation(s)
- Yang Yang
- Computing Science and Artificial Intelligence College, Suzhou City University, Suzhou 215004, China
- School of Computer Science & Technology, Soochow University, Suzhou 215000, China
| | - Yuwei Lu
- School of Computer Science & Technology, Soochow University, Suzhou 215000, China
| | - Zixuan Zheng
- School of Computer Science & Technology, Soochow University, Suzhou 215000, China
| | - Hao Wu
- Department of Bioinformatics, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Yuxin Lin
- Center for Systems Biology, Soochow University, Suzhou 215123, China
- Department of Urology, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - Fuliang Qian
- Center for Systems Biology, Soochow University, Suzhou 215123, China
- Medical Center of Soochow University, Suzhou 215123, China
- Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou 215123, China
| | - Wenying Yan
- Department of Bioinformatics, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China
- Center for Systems Biology, Soochow University, Suzhou 215123, China
- Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou 215123, China
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Tizhoosh H, Pantanowitz L. On image search in histopathology. J Pathol Inform 2024; 15:100375. [PMID: 38645985 PMCID: PMC11033156 DOI: 10.1016/j.jpi.2024.100375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 03/21/2024] [Accepted: 03/29/2024] [Indexed: 04/23/2024] Open
Abstract
Pathology images of histopathology can be acquired from camera-mounted microscopes or whole-slide scanners. Utilizing similarity calculations to match patients based on these images holds significant potential in research and clinical contexts. Recent advancements in search technologies allow for implicit quantification of tissue morphology across diverse primary sites, facilitating comparisons, and enabling inferences about diagnosis, and potentially prognosis, and predictions for new patients when compared against a curated database of diagnosed and treated cases. In this article, we comprehensively review the latest developments in image search technologies for histopathology, offering a concise overview tailored for computational pathology researchers seeking effective, fast, and efficient image search methods in their work.
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Affiliation(s)
- H.R. Tizhoosh
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Liron Pantanowitz
- Department of Pathology, School of Medicine, University of Pittsburgh, PA, USA
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Hang JF, Ou YC, Yang WL, Tsao TY, Yeh CH, Li CB, Hsu EY, Hung PY, Hwang YT, Liu TJ, Tung MC. Comparative evaluation of slide scanners, scan settings, and cytopreparations for digital urine cytology. J Pathol Inform 2024; 15:100346. [PMID: 38125926 PMCID: PMC10730371 DOI: 10.1016/j.jpi.2023.100346] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/22/2023] [Accepted: 11/01/2023] [Indexed: 12/23/2023] Open
Abstract
Background Acquiring well-focused digital images of cytology slides with scanners can be challenging due to the 3-dimensional nature of the slides. This study evaluates performances of whole-slide images (WSIs) obtained from 2 different cytopreparations by 2 distinct scanners with 3 focus modes. Methods Fourteen urine specimens were collected from patients with urothelial carcinoma. Each specimen was equally divided into 2 portions, prepared with Cytospin and ThinPrep methods and scanned for WSIs using Leica (Aperio AT2) and Hamamatsu (NanoZoomer S360) scanners, respectively. The scan settings included 3 focus modes (default, semi-auto, and manual) for single-layer scanning, along with a manual focus mode for 21 Z-layers scanning. Performance metrics were evaluated including scanning success rate, artificial intelligence (AI) algorithm-inferred atypical cell numbers and coverage rate (atypical cell numbers in single or multiple Z-layers divided by the total atypical cell numbers in 21 Z-layers), scanning time, and image file size. Results The default mode had scanning success rates of 85.7% or 92.9%, depending on the scanner used. The semi-auto mode increased success to 92.9% or 100%, and manual even further to 100%. However, these changes did not affect the standardized median atypical cell numbers and coverage rates. The selection of scanners, cytopreparations, and Z-stacking influenced standardized median atypical cell numbers and coverage rates, scanning times, and image file sizes. Discussion Both scanners showed satisfactory scanning. We recommend using semi-auto or manual focus modes to achieve a scanning success rate of up to 100%. Additionally, a minimum of 9-layer Z-stacking at 1 μm intervals is required to cover 80% of atypical cells. These advanced focus methods do not impact the number of atypical cells or their coverage rate. While Z-stacking enhances the AI algorithm's inferred quantity and coverage rates of atypical cells, it simultaneously results in longer scanning times and larger image file sizes.
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Affiliation(s)
- Jen-Fan Hang
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine and Institution of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yen-Chuan Ou
- Division of Urology, Department of Surgery, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan
| | | | - Tang-Yi Tsao
- Department of Pathology, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan
| | | | - Chi-Bin Li
- AIxMed, Inc., Santa Clara, CA, United States
| | - En-Yu Hsu
- AIxMed, Inc., Santa Clara, CA, United States
| | - Po-Yen Hung
- AIxMed, Inc., Santa Clara, CA, United States
| | - Yi-Ting Hwang
- Department of Statistics, National Taipei University, Taipei, Taiwan
| | | | - Min-Che Tung
- Division of Urology, Department of Surgery, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan
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Mazetyte-Godiene A, Vailionyte A, Jelinskas T, Denkovskij J, Usas A. Promotion of hMDSC differentiation by combined action of scaffold material and TGF-β superfamily growth factors. Regen Ther 2024; 27:307-318. [PMID: 38633416 PMCID: PMC11021853 DOI: 10.1016/j.reth.2024.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/08/2024] [Accepted: 03/17/2024] [Indexed: 04/19/2024] Open
Abstract
Objective Herein we propose a combined action of collagen type I (CA) or synthetic collagen-like-peptide functionalized with the cell adhesive RGD motif (PEG-CLP-RGD) hydrogels and selected growth factors to promote chondrogenic differentiation of human muscle-derived stem cells (hMDSCs) under normal and reduced oxygen conditions. Methods hMDSCs were set for differentiation towards chondrogenic lineage using BMP-7 and TGF-β3. Cells were seeded onto hydrogels loaded with growth factors (75ng/scaffold) and cultured for 28 days under normal (21%) and severe hypoxic (1%) conditions. Chondrogenesis was evaluated by monitoring collagen type II and GAG deposition, and quantification of ACAN expression by RT-PCR. Results Sustained release of TGFβ3 from the hydrogels was observed, 8.7 ± 0.5% of the initially loaded amount diffused out after 24 h from both substrates. For the BMP-7 growth factor, 14.8 ± 0.3% and 18.2 ± 0.6% of the initially loaded amount diffused out after 24 h from CA and CLP-RGD, respectively. The key findings of this study are: i) the self-supporting hydrogels themselves can stimulate hMDSC chondrogenesis by inducing gene expression of cartilage-specific proteoglycan aggrecan and ECM production; ii) the effect of dual BMP-7 and TGF-β3 loading was more pronounced on CA hydrogel under normal oxygen conditions; iii) dual loading on PEG-CLP-RGD hydrogels did not have the synergistic effect, TGF-β3 was more effective under both oxygen conditions; iv) BMP-7 can improve chondrogenic effect of TGF-β3 on CA scaffolds, and hydrogels loaded with both growth factors can induce cartilage formation in hMDSC cultures. Conclusion Our results support the potential strategy of combining implantable hydrogels functionalized with differentiation factors toward improving cartilaginous repair.
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Affiliation(s)
- Airina Mazetyte-Godiene
- Institute of Physiology and Pharmacology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
- UAB Ferentis, Savanoriu ave. 235, Vilnius, Lithuania
- Department of Nanoengineering, Center for Physical Sciences and Technology, Vilnius, Lithuania
| | | | - Tadas Jelinskas
- Department of Nanoengineering, Center for Physical Sciences and Technology, Vilnius, Lithuania
| | - Jaroslav Denkovskij
- Department of Regenerative Medicine, Centre for Innovative Medicine, Vilnius, Lithuania
| | - Arvydas Usas
- Institute of Physiology and Pharmacology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
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Sakai H, Kurita H, Kondo E, Tanaka H, Shimane T, Hashidume M, Yamada SI. Dental and oral management in the perioperative period of surgery: A scoping review. Jpn Dent Sci Rev 2024; 60:148-153. [PMID: 38633513 PMCID: PMC11021219 DOI: 10.1016/j.jdsr.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/27/2024] [Accepted: 03/25/2024] [Indexed: 04/19/2024] Open
Abstract
Dental and oral management (DOM) is a long-established treatment modality. This scoping review aimed to narratively review previous studies, examine the effects of perioperative DOM, and identify the available evidence. A literature search was conducted using the PubMed electronic database for studies published between January 1, 2000, and March 8, 2022. The search yielded 43 studies, most of which were published in the last 10 years. The results of this study confirmed that improved perioperative oral hygiene is effective in preventing postoperative pneumonia. Our results also suggested that preoperative DOM is effective in preventing postoperative surgical site infections. Perioperative DOM is effective in reducing the incidence of postoperative pneumonia, SSI, and postsurgical complications. Further studies are needed to elucidate the various mechanism of DOM and to examine efficient intervention methods and timing.
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Affiliation(s)
- Hironori Sakai
- Department of Oral and Maxillofacial Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto-shi, Nagano-ken 390-0872, Japan
| | - Hiroshi Kurita
- Department of Oral and Maxillofacial Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto-shi, Nagano-ken 390-0872, Japan
| | - Eiji Kondo
- Department of Oral and Maxillofacial Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto-shi, Nagano-ken 390-0872, Japan
| | - Hirokazu Tanaka
- Department of Oral and Maxillofacial Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto-shi, Nagano-ken 390-0872, Japan
| | - Tetsu Shimane
- Department of Oral and Maxillofacial Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto-shi, Nagano-ken 390-0872, Japan
| | - Masao Hashidume
- Department of Oral and Maxillofacial Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto-shi, Nagano-ken 390-0872, Japan
| | - Shin-Ichi Yamada
- Department of Oral and Maxillofacial Surgery, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, 3190 Gofuku, Toyama-shi, Toyama-ken 930-8555, Japan
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Pradhan UK, Naha S, Das R, Gupta A, Parsad R, Meher PK. RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotes. Comput Struct Biotechnol J 2024; 23:1631-1640. [PMID: 38660008 PMCID: PMC11039349 DOI: 10.1016/j.csbj.2024.04.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/12/2024] [Accepted: 04/12/2024] [Indexed: 04/26/2024] Open
Abstract
RNA-binding proteins (RBPs) are central to key functions such as post-transcriptional regulation, mRNA stability, and adaptation to varied environmental conditions in prokaryotes. While the majority of research has concentrated on eukaryotic RBPs, recent developments underscore the crucial involvement of prokaryotic RBPs. Although computational methods have emerged in recent years to identify RBPs, they have fallen short in accurately identifying prokaryotic RBPs due to their generic nature. To bridge this gap, we introduce RBProkCNN, a novel machine learning-driven computational model meticulously designed for the accurate prediction of prokaryotic RBPs. The prediction process involves the utilization of eight shallow learning algorithms and four deep learning models, incorporating PSSM-based evolutionary features. By leveraging a convolutional neural network (CNN) and evolutionarily significant features selected through extreme gradient boosting variable importance measure, RBProkCNN achieved the highest accuracy in five-fold cross-validation, yielding 98.04% auROC and 98.19% auPRC. Furthermore, RBProkCNN demonstrated robust performance with an independent dataset, showcasing a commendable 95.77% auROC and 95.78% auPRC. Noteworthy is its superior predictive accuracy when compared to several state-of-the-art existing models. RBProkCNN is available as an online prediction tool (https://iasri-sg.icar.gov.in/rbprokcnn/), offering free access to interested users. This tool represents a substantial contribution, enriching the array of resources available for the accurate and efficient prediction of prokaryotic RBPs.
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Affiliation(s)
- Upendra Kumar Pradhan
- Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi 110012, India
| | - Sanchita Naha
- Division of Computer Applications, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi 110012, India
| | - Ritwika Das
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi 110012, India
| | - Ajit Gupta
- Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi 110012, India
| | - Rajender Parsad
- ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi 110012, India
| | - Prabina Kumar Meher
- Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi 110012, India
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Wittenberg E, Goldsmith JV, Chen C(K, Prince-Paul M. A conceptual model of the nurse's role as primary palliative care provider in goals of care communication. PEC Innov 2024; 4:100254. [PMID: 38298557 PMCID: PMC10828588 DOI: 10.1016/j.pecinn.2024.100254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/10/2023] [Accepted: 01/10/2024] [Indexed: 02/02/2024]
Abstract
Objective Nurses have opportunities to engage in goals of care conversations that can promote palliative care communication. The purpose of this study was to describe nurses' experiences in goals of care communication as summarized in the literature and to present a conceptual model of communication pathways for nurses. Methods An integrative review of the literature (2016-2022) addressing nurses' experiences in goals of care communication was conducted using PubMed, CINAHL, and PsychInfo databases. A total of 92 articles were retrieved. A total of 12 articles were included for this review after applying the inclusion and exclusion criteria. Results Of the 12 articles, the majority were qualitative studies (n = 8). Qualitative analysis of findings from all articles revealed three dominant themes: nurses' ambiguous role responsibilities, goals of care as end-of-life communication, and the need for nurse communication training. Conclusion This article suggests an innovative conceptual model for advancing nurse communication about goals of care to facilitate primary palliative care. Innovation The framework characterizes two communication pathways for Advanced Practice Nurses who direct goals of care discussions and Registered Nurses who support goals of care communication. The model informs future communication training aimed at supporting primary palliative care.
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Affiliation(s)
- Elaine Wittenberg
- From California State University Los Angeles, Department of Communication Studies, Los Angeles, CA, USA
| | - Joy V. Goldsmith
- From University of Memphis, Department of Communication and Film, Memphis, TN, USA
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Shinjo T, Nishimura F. The bidirectional association between diabetes and periodontitis, from basic to clinical. Jpn Dent Sci Rev 2024; 60:15-21. [PMID: 38098853 PMCID: PMC10716706 DOI: 10.1016/j.jdsr.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/02/2023] [Accepted: 12/03/2023] [Indexed: 12/17/2023] Open
Abstract
The prevalence and severity of periodontitis are increased and advanced in diabetes. Severe periodontitis elicits adverse effects on diabetes by impairing insulin actions due to systemic microinflammation. Recent studies unveil the emerging findings and molecular basis of the bidirectional relationship between periodontitis and diabetes. In addition to conventional mechanisms such as hyperglycemia, hyperlipidemia, and chronic inflammation, deficient insulin action may play a pathogenic role in the progression of periodontitis under diabetes. Epidemiologically, from the viewpoint of the adverse effect of periodontitis on diabetes, recent studies have suggested that Asians including Japanese and Asian Americans with diabetes and mild obesity (BMI <25 kg/m2) should pay more attention to their increased risk for cardiovascular diseases. In this review, we summarize recent findings on the effect of diabetes on periodontitis from the viewpoint of abnormalities in metabolism and insulin resistance with novel mechanisms, and the influence of periodontitis on diabetes mainly focused on micro-inflammation related to mature adipose tissue and discuss future perspectives about novel approaches to interrupt the adverse interrelationship.
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Affiliation(s)
- Takanori Shinjo
- Section of Periodontology, Faculty of Dental Science, Kyushu University, Fukuoka, Fukuoka 812-8582, Japan
| | - Fusanori Nishimura
- Section of Periodontology, Faculty of Dental Science, Kyushu University, Fukuoka, Fukuoka 812-8582, Japan
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Wei F, Kouro T, Nakamura Y, Ueda H, Iiizumi S, Hasegawa K, Asahina Y, Kishida T, Morinaga S, Himuro H, Horaguchi S, Tsuji K, Mano Y, Nakamura N, Kawamura T, Sasada T. Enhancing Mass spectrometry-based tumor immunopeptide identification: machine learning filter leveraging HLA binding affinity, aliphatic index and retention time deviation. Comput Struct Biotechnol J 2024; 23:859-869. [PMID: 38356658 PMCID: PMC10864759 DOI: 10.1016/j.csbj.2024.01.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/16/2024] Open
Abstract
Accurately identifying neoantigens is crucial for developing effective cancer vaccines and improving tumor immunotherapy. Mass spectrometry-based immunopeptidomics has emerged as a promising approach to identifying human leukocyte antigen (HLA) peptides presented on the surface of cancer cells, but false-positive identifications remain a significant challenge. In this study, liquid chromatography-tandem mass spectrometry-based proteomics and next-generation sequencing were utilized to identify HLA-presenting neoantigenic peptides resulting from non-synonymous single nucleotide variations in tumor tissues from 18 patients with renal cell carcinoma or pancreatic cancer. Machine learning was utilized to evaluate Mascot identifications through the prediction of MS/MS spectral consistency, and four descriptors for each candidate sequence: the max Mascot ion score, predicted HLA binding affinity, aliphatic index and retention time deviation, were selected as important features in filtering out identifications with inadequate fragmentation consistency. This suggests that incorporating rescoring filters based on peptide physicochemical characteristics could enhance the identification rate of MS-based immunopeptidomics compared to the traditional Mascot approach predominantly used for proteomics, indicating the potential for optimizing neoantigen identification pipelines as well as clinical applications.
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Affiliation(s)
- Feifei Wei
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Taku Kouro
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Yuko Nakamura
- Isotope Science Center, The University of Tokyo, Tokyo, Japan
| | - Hiroki Ueda
- Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Susumu Iiizumi
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Research & Early Development Division, BrightPath Biotherapeutics Co., Ltd., Kawasaki, Japan
| | - Kyoko Hasegawa
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Research & Early Development Division, BrightPath Biotherapeutics Co., Ltd., Kawasaki, Japan
| | - Yuki Asahina
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Takeshi Kishida
- Department of Urology, Kanagawa Cancer Center, Yokohama, Japan
| | - Soichiro Morinaga
- Department of Hepato-Biliary and Pancreatic Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Hidetomo Himuro
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Shun Horaguchi
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
- Department of Pediatric Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Kayoko Tsuji
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Yasunobu Mano
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
| | - Norihiro Nakamura
- Research & Early Development Division, BrightPath Biotherapeutics Co., Ltd., Kawasaki, Japan
| | | | - Tetsuro Sasada
- Division of Cancer Immunotherapy, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Cancer Vaccine and Immunotherapy Center, Kanagawa Cancer Center, Yokohama, Japan
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Kanarskii M, Nekrasova J, Kondratieva E, Borisov I, Simenel E, Sviryaev Y, Pradhan P, Gorshkov K, Shestopalov A, Petrova M. Are circadian rhythms in disarray in patients with chronic critical illness? Sleep Med X 2024; 7:100101. [PMID: 38234313 PMCID: PMC10792261 DOI: 10.1016/j.sleepx.2023.100101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 12/17/2023] [Accepted: 12/19/2023] [Indexed: 01/19/2024] Open
Abstract
Aim The aim of our study is to assess circadian rhythms in patients with chronic critical illness due to severe brain injury in intensive care unit by establishing the relation between melatonin and cortisol secretion, considering astronomical time and the sleep-wake cycle in chronic critical illness. Materials and methods The study included 54 adult patients with chronic critical illness who resided in the intensive care unit for at least 30 days. The level of consciousness was determined using the CRS-R scale. We did the continuous electroencephalographic (EEG) monitoring with polygraphic leads for 24 h. Also, we determined the serum levels of cortisol and melatonin using the tandem mass spectrometry method with ultra-performance liquid chromatography. Results 90.74 % of patients had one acrophase in melatonin secretion curve, which suggests the preservation of the rhythmic secretion of melatonin. These acrophases of the melatonin rhythm occurred during the night time in 91.8 % of patients. Most of the patients (69.3 %) slept during the period from 2:00 to 4:00 a.m. The evening levels of cortisol and melatonin had an inverse relation (rs=0.61, p<0.05), i.e., a decrease in the level of cortisol secretion accompanies an increase in melatonin. Conclusions We concluded from our study that the rhythmic secretion of melatonin and cortisol is preserved in patients with chronic critical illness that resulted from severe brain injury. No statistically significant discrepancy between melatonin and cortisol secretion, day-and-night time and the sleep-wake cycle are found. We may focus our future work on finding more reliable methods to stabilize the preservation of circadian rhythms to protect vital organ functions.
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Affiliation(s)
- Mikhail Kanarskii
- Federal State Budget Scientific Institution «Federal Reserach and Clinical Center of Intensive Care Medicine and Rehabilitology», Moscow, Russia
| | - Julia Nekrasova
- Federal State Budget Scientific Institution «Federal Reserach and Clinical Center of Intensive Care Medicine and Rehabilitology», Moscow, Russia
| | - Ekaterina Kondratieva
- Federal State Budgetary Institution “Almazov National Medical Research Centre” of the Ministry of Health of the Russian Federation, St. Petersburg, Russia
| | - Ilya Borisov
- Federal State Budget Scientific Institution «Federal Reserach and Clinical Center of Intensive Care Medicine and Rehabilitology», Moscow, Russia
| | - Elena Simenel
- Labaratory of Chromatography and Mass Spectrometry, Мedical Laboratory Archimed, Moscow, St. Vavilova, d. 68 bldg, Russia
| | - Yurii Sviryaev
- Federal State Budgetary Institution “Almazov National Medical Research Centre” of the Ministry of Health of the Russian Federation, St. Petersburg, Russia
| | - Pranil Pradhan
- Federal State Budget Scientific Institution «Federal Reserach and Clinical Center of Intensive Care Medicine and Rehabilitology», Moscow, Russia
- Federal State Budgetary Educational Institution of Higher Education “Peoples' Friendship University of Russia”, Moscow, Russia
| | - Kirill Gorshkov
- Federal State Budget Scientific Institution «Federal Reserach and Clinical Center of Intensive Care Medicine and Rehabilitology», Moscow, Russia
| | - Alexander Shestopalov
- Federal State Budget Scientific Institution «Federal Reserach and Clinical Center of Intensive Care Medicine and Rehabilitology», Moscow, Russia
| | - Marina Petrova
- Federal State Budget Scientific Institution «Federal Reserach and Clinical Center of Intensive Care Medicine and Rehabilitology», Moscow, Russia
- Federal State Budgetary Educational Institution of Higher Education “Peoples' Friendship University of Russia”, Moscow, Russia
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Sinaci AA, Gencturk M, Alvarez-Romero C, Laleci Erturkmen GB, Martinez-Garcia A, Escalona-Cuaresma MJ, Parra-Calderon CL. Privacy-preserving federated machine learning on FAIR health data: A real-world application. Comput Struct Biotechnol J 2024; 24:136-145. [PMID: 38434250 PMCID: PMC10904920 DOI: 10.1016/j.csbj.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 03/05/2024] Open
Abstract
Objective This paper introduces a privacy-preserving federated machine learning (ML) architecture built upon Findable, Accessible, Interoperable, and Reusable (FAIR) health data. It aims to devise an architecture for executing classification algorithms in a federated manner, enabling collaborative model-building among health data owners without sharing their datasets. Materials and methods Utilizing an agent-based architecture, a privacy-preserving federated ML algorithm was developed to create a global predictive model from various local models. This involved formally defining the algorithm in two steps: data preparation and federated model training on FAIR health data and constructing the architecture with multiple components facilitating algorithm execution. The solution was validated by five healthcare organizations using their specific health datasets. Results Five organizations transformed their datasets into Health Level 7 Fast Healthcare Interoperability Resources via a common FAIRification workflow and software set, thereby generating FAIR datasets. Each organization deployed a Federated ML Agent within its secure network, connected to a cloud-based Federated ML Manager. System testing was conducted on a use case aiming to predict 30-day readmission risk for chronic obstructive pulmonary disease patients and the federated model achieved an accuracy rate of 87%. Discussion The paper demonstrated a practical application of privacy-preserving federated ML among five distinct healthcare entities, highlighting the value of FAIR health data in machine learning when utilized in a federated manner that ensures privacy protection without sharing data. Conclusion This solution effectively leverages FAIR datasets from multiple healthcare organizations for federated ML while safeguarding sensitive health datasets, meeting legislative privacy and security requirements.
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Affiliation(s)
- A. Anil Sinaci
- SRDC Software Research Development and Consultancy Corporation, Ankara, Turkey
| | - Mert Gencturk
- SRDC Software Research Development and Consultancy Corporation, Ankara, Turkey
- Department of Computer Engineering, Middle East Technical University, Ankara, Turkey
| | - Celia Alvarez-Romero
- Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain
| | | | - Alicia Martinez-Garcia
- Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain
| | | | - Carlos Luis Parra-Calderon
- Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain
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Walsh CA, Miller SJ, Smith CB, Prigerson HG, McFarland D, Yarborough S, Santos CDL, Thomas R, Czaja SJ, RoyChoudhury A, Chapman-Davis E, Lachs M, Shen MJ. Acceptability and usability of the Planning Advance Care Together (PACT) website for improving patients' engagement in advance care planning. PEC Innov 2024; 4:100245. [PMID: 38145252 PMCID: PMC10733677 DOI: 10.1016/j.pecinn.2023.100245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 12/26/2023]
Abstract
Objectives Most prior advance care planning (ACP) interventions lack integration of the social context of patients' ACP process, which patients indicate is critically important. The current study developed the Planning Advance Care Together (PACT) website to foster inclusion of loved ones in the ACP process. Methods To provide feedback about the PACT website, patients with advanced cancer (N = 11), their caregivers (N = 11), and experts (N = 10) participated in semi-structured interviews. Patients and caregivers also completed standardized ratings of acceptability and usability. Results Overall, patient (n = 11) and caregiver (n = 11) ratings of acceptability and usability of the website exceeded benchmark cut-offs (≥24 on the Acceptability E-Scale and ≥ 68 on the System Usability Scale). Patients, caregivers, and experts liked the topic of ACP but felt that it could be emotionally challenging. They recommended focusing more on planning and less on end of life. They appreciated being able to include loved ones and recommended adding resources for caregivers. Conclusions Study findings support the preliminary usability and acceptability of the PACT website. Findings will be used to inform a modified prototype of the PACT website that is interactive and ready for field testing with patients with advanced cancer and their loved ones. Innovation We utilized a novel application of the shared mind framework to support patients with advanced cancer in engaging their loved ones in the ACP process.
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Affiliation(s)
- Casey A. Walsh
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States of America
| | - Sarah J. Miller
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Cardinale B. Smith
- Division of Hematology and Medical Oncology, Division of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Holly G. Prigerson
- Department of Medicine, Cornell Center for Research on End-of-Life Care, Weill Cornell Medical College, New York, NY, United States of America
| | - Daniel McFarland
- Department of Psychiatry, Wilmot Cancer Center, University of Rochester Medical Center, Rochester, NY, United States of America
| | - Sarah Yarborough
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States of America
| | - Claudia De Los Santos
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States of America
| | - Robert Thomas
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Sara J. Czaja
- Division of Geriatrics and Palliative Medicine, Center on Aging and Behavioral Research, Weill Cornell Medicine, New York, NY, United States of America
| | - Arindam RoyChoudhury
- Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, United States of America
| | - Eloise Chapman-Davis
- Division of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, United States of America
| | - Mark Lachs
- Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America
- Geriatrics and Palliative Medicine, New York Presbyterian Health Care System, United States of America
| | - Megan J. Shen
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States of America
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Xia YM, Guan YQ, Liang JF, Wu WD. TAK-242 improves sepsis-associated acute kidney injury in rats by inhibiting the TLR4/NF-κB signaling pathway. Ren Fail 2024; 46:2313176. [PMID: 38482886 PMCID: PMC10877656 DOI: 10.1080/0886022x.2024.2313176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 01/27/2024] [Indexed: 03/18/2024] Open
Abstract
OBJECTIVE This study was designed to observe the effect of toll-like receptor 4 (TLR4)/nuclear factor kappa-B (NF-κB) pathway activity on sepsis-associated acute kidney injury (SA-AKI), thereby providing new considerations for the prevention and treatment of SA-AKI. METHODS The rats were divided into Sham, cecal ligation and puncture (CLP), CLP + vehicle, and CLP + TAK-242 groups. Except the Sham group, a model of CLP-induced sepsis was established in other groups. After 24 h, the indicators related to kidney injury in blood samples were detected. The pathological changes in the kidneys were observed by hematoxylin-eosin staining, and tubular damage was scored. Oxidative stress-related factors, mitochondrial dysfunction-related indicators in each group were measured; the levels of inflammatory factors in serum and kidney tissue of rats were examined. Finally, the expression of proteins related to the TLR4/NF-κB signaling pathway was observed by western blot. RESULTS Compared with the CLP + vehicle and CLP + TAK-242 groups, the CLP + TAK-242 group reduced blood urea nitrogen (BUN), creatinine (Cr), cystatin-C (Cys-C), reactive oxygen species (ROS), malondialdehyde (MDA), and inflammatory factors levels (p < 0.01), as well as increased superoxide dismutase (SOD) activity of CLP rats (p < 0.01). Additionally, TAK-242 treatment improved the condition of CLP rats that had glomerular and tubular injuries and mitochondrial disorders (p < 0.01). Further mechanism research revealed that TAK-242 can inhibit the TLR4/NF-κB signaling pathway activated by CLP (p < 0.01). Above indicators after TAK-242 treatment were close to those of the Sham group. CONCLUSION TAK-242 can improve oxidative stress, mitochondrial dysfunction, and inflammatory response by inhibiting the activity of TLR4/NF-κB signaling pathway, thereby preventing rats from SA-AKI.
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Affiliation(s)
- Yan-mei Xia
- Department of Critical, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, PRChina
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PRChina
| | - Yu-qian Guan
- Department of Critical, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, PRChina
| | - Ji-fang Liang
- Department of Critical, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, PRChina
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PRChina
| | - Wei-dong Wu
- Department of Critical, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, PRChina
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PRChina
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Anderson A, Piñeiro Á, García-Fandiño R, O’Connor MS. Cyclodextrins: Establishing building blocks for AI-driven drug design by determining affinity constants in silico. Comput Struct Biotechnol J 2024; 23:1117-1128. [PMID: 38510974 PMCID: PMC10950811 DOI: 10.1016/j.csbj.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 03/22/2024] Open
Abstract
Cyclodextrins (CDs) are cyclic carbohydrate polymers that hold significant promise for drug delivery and industrial applications. Their effectiveness depends on their ability to encapsulate target molecules with strong affinity and specificity, but quantifying affinities in these systems accurately is challenging for a variety of reasons. Computational methods represent an exceptional complement to in vitro assays because they can be employed for existing and hypothetical molecules, providing high resolution structures in addition to a mechanistic, dynamic, kinetic, and thermodynamic characterization. Here, we employ potential of mean force (PMF) calculations obtained from guided metadynamics simulations to characterize the 1:1 inclusion complexes between four different modified βCDs, with different type, number, and location of substitutions, and two sterol molecules (cholesterol and 7-ketocholesterol). Our methods, validated for reproducibility through four independent repeated simulations per system and different post processing techniques, offer new insights into the formation and stability of CD-sterol inclusion complexes. A systematic distinct orientation preference where the sterol tail projects from the CD's larger face and significant impacts of CD substitutions on binding are observed. Notably, sampling only the CD cavity's wide face during simulations yielded comparable binding energies to full-cavity sampling, but in less time and with reduced statistical uncertainty, suggesting a more efficient approach. Bridging computational methods with complex molecular interactions, our research enables predictive CD designs for diverse applications. Moreover, the high reproducibility, sensitivity, and cost-effectiveness of the studied methods pave the way for extensive studies of massive CD-ligand combinations, enabling AI algorithm training and automated molecular design.
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Affiliation(s)
- Amelia Anderson
- Cyclarity Therapeutics, 8001 Redwood Blvd, Novato, CA 94945, USA
- Department of Organic Chemistry, Center for Research in Biological Chemistry and Molecular Materials, Santiago de Compostela University, CIQUS, Spain
- Soft Matter & Molecular Biophysics Group, Department of Applied Physics, Faculty of Physics, University of Santiago de Compostela, Spain
| | - Ángel Piñeiro
- Soft Matter & Molecular Biophysics Group, Department of Applied Physics, Faculty of Physics, University of Santiago de Compostela, Spain
| | - Rebeca García-Fandiño
- Department of Organic Chemistry, Center for Research in Biological Chemistry and Molecular Materials, Santiago de Compostela University, CIQUS, Spain
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Manlapaz DG, Versales CRS, Pazcoguin JMA, Ching JJA, Bartolome MJP, Da Silva SL, Edquila KGZ, Francheska Fulo L, Benezet J Male YG, Patricia Y Peña J, Miguel C Pineda R. Level of self-efficacy among skill-based allied health students in the University of Santo Tomas-Enriched Virtual Mode of learning: A cross-sectional study. Hong Kong Physiother J 2024; 44:91-102. [PMID: 38510154 PMCID: PMC10949109 DOI: 10.1142/s1013702524500057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/07/2023] [Accepted: 09/20/2023] [Indexed: 03/22/2024] Open
Abstract
Background Self-efficacy expresses a learner's perception of how well they can do in the online academic setting. Although students' academic successes can be measured by online learning self-efficacy, there is a scarcity of evidence targeted toward allied health students. Objective The primary aim of this study is to determine the level of online self-efficacy among students from skill-based allied health programs. The secondary aim is to correlate online self-efficacy with age, sex, year level, and program of the students. Methods This cross-sectional analytic study utilized the Online Learning Self-Efficacy Scale (OLSE) to determine students' level of self-efficacy via a survey conducted with students who underwent the Enriched Virtual Mode of learning. Descriptive statistics was used to characterize the study participants, describe the level of self-efficacy, and compare the subscales of OLSE. Inferential statistics using Spearman's rho was performed to determine the correlation. Results A total of 117 respondents with a mean age ± SD of 20.59 ± 0.11 years old, predominantly female (71%) were included in the study. The students from allied health programs had an online self-efficacy overall mean score of 3.83 (SD = 0 . 05 ; range 2.64-5.00) with the use of technology subscales weighted the highest mean score (4.24). Females have a higher average OLSE score (M = 3 . 92 , SD = 0 . 05 ) compared to males. Significant correlation was found between OLSE scores to sex (r = 0 . 260 , p = 0 . 005 ) and year level (r =- 0 . 199 , p = 0 . 031 ) while nonsignificant correlation was found between OLSE scores to the program (r =- 0 . 048 , p = 0 . 604 ) and age (r =- 0 . 123 , p = 0 . 185 ). Conclusion Students of allied health programs generally have a very good level of online self-efficacy. This study assists educators in developing proactive strategies and approaches to promote students' self-confidence across all domains and encourage them to adopt a dynamic remote learning-based approach. Educational institutions should use this opportunity to assess how well they have implemented remote learning to ensure educational continuity, especially in times of crisis.
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Affiliation(s)
- Donald G Manlapaz
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
- Center for Health Research and Movement Science, University of Santo Tomas, Manila, Philippines
| | - Cristine Rose S Versales
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
| | - John Micko A Pazcoguin
- Department of Psychology, College of Science, University of Santo Tomas, Manila, Philippines
| | - Justin Jeremiah A Ching
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
| | - Marcela Joyce P Bartolome
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
| | - Samantha Lavin Da Silva
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
| | - Kertlouie Gabriel Z Edquila
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
| | - Lara Francheska Fulo
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
| | - Yvonne Geisel Benezet J Male
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
| | - Joey Patricia Y Peña
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
| | - Ramon Miguel C Pineda
- Department of Physical Therapy College of Rehabilitation Sciences, University of Santo Tomas, Manila, Philippines
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Qiu C, Li Z, Peng P. Human umbilical cord mesenchymal stem cells protect MC3T3-E1 osteoblasts from dexamethasone-induced apoptosis via induction of the Nrf2-ARE signaling pathway. Regen Ther 2024; 27:1-11. [PMID: 38476629 PMCID: PMC10926296 DOI: 10.1016/j.reth.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 01/29/2024] [Accepted: 02/25/2024] [Indexed: 03/14/2024] Open
Abstract
Objective To investigate the protective effect human umbilical cord mesenchymal stem cells (hUC-MSCs) have on Dexamethasone (Dex)-induced apoptosis in osteogenesis via the Nrf2-ARE signaling pathway. Methods Glucocorticoid-induced osteonecrosis of the femoral head (GC-ONFH) was developed in rats through the administration of lipopolysaccharide and methylprednisolone. The incidence of femoral head necrosis, cavity notch, apoptosis of osteoblasts, and bone density were observed by HE staining, TUNEL staining, and Micro-CT. HUC-MSCs were co-cultured with mouse pre-osteoblast MC3T3-E1. The survival rate of osteoblasts was determined by CCK8, and apoptosis and ROS levels of osteoblasts were determined by flow cytometer. The viability of antioxidant enzymes SOD, GSH-Px, and CAT was analyzed by biochemistry. Nrf2 expression levels and those of its downstream proteins and apoptosis-related proteins were analyzed by Western blotting. Results In rats, hUC-MSCs can reduce the rates of empty bone lacuna and osteoblast apoptosis that are induced by glucocorticoids (GCs), while reducing the incidence of GC-ONFH. hUC-MSCs can significantly improve the survival rate and antioxidant SOD, GSH-Px, and CAT activity of MC3T3-E1 cells caused by Dex, and inhibit apoptosis and oxidative stress levels. In addition, hUC-MSCs can up-regulate the expression of osteoblast antioxidant protein Nrf2 and its downstream protein HO-1, NQO-1, GCLC, GCLM, and apoptosis-related protein bcl-2, while also down-regulating the expression of apoptosis-related protein bax, cleaved caspase-3, cleaved caspase-9, and cytochrome C in MC3T3-E1 cells. hUC-MSCs improve the ability of MC3T3-E1 cells to mineralize to osteogenesis. However, the promoting effects of hUC-MSCs were abolished following the blocking of the Nrf2-ARE signaling pathway for osteoblasts. Conclusion The results reveal that hUC-MSCs can reduce Dex-induced apoptosis in osteoblasts via the Nrf2-ARE signaling pathway.
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Affiliation(s)
- Chen Qiu
- Department of Sports Medicine, The Affiliated Hospital of Wuhan Sports University, Wuhan, 430000, China
| | - Zhaowen Li
- Department of Sports Medicine, The Affiliated Hospital of Wuhan Sports University, Wuhan, 430000, China
| | - Puji Peng
- Department of Orthopedics, Henan Provincial People's Hospital, Zhengzhou, 450003, China
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Eldeeb D, Ikeda Y, Hojo H, Ohba S. Unraveling the hidden complexity: Exploring dental tissues through single-cell transcriptional profiling. Regen Ther 2024; 27:218-229. [PMID: 38596822 PMCID: PMC11002530 DOI: 10.1016/j.reth.2024.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/21/2024] [Accepted: 03/24/2024] [Indexed: 04/11/2024] Open
Abstract
Understanding the composition and function of cells constituting tissues and organs is vital for unraveling biological processes. Single-cell analysis has allowed us to move beyond traditional methods of categorizing cell types. This innovative technology allows the transcriptional and epigenetic profiling of numerous individual cells, leading to significant insights into the development, homeostasis, and pathology of various organs and tissues in both animal models and human samples. In this review, we delve into the outcomes of major investigations using single-cell transcriptomics to decipher the cellular composition of mammalian teeth and periodontal tissues. The recent single-cell transcriptome-based studies have traced in detail the dental epithelium-ameloblast lineage and dental mesenchyme lineages in the mouse incisors and the tooth germ of both mice and humans; unraveled the microenvironment, the identity of niche cells, and cellular intricacies in the dental pulp; shed light on the molecular mechanisms orchestrating root formation; and characterized cellular dynamics of the periodontal ligament. Additionally, cellular components in dental pulps were compared between healthy and carious teeth at a single-cell level. Each section of this review contributes to a comprehensive understanding of tooth biology, offering valuable insights into developmental processes, niche cell identification, and the molecular secrets of the dental environment.
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Affiliation(s)
- Dahlia Eldeeb
- Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Japan
- Department of Physiology, Division of Biomedical Sciences, Nihon University School of Medicine, Japan
- Department of Oral Biology, Faculty of Dentistry, Cairo University, Egypt
| | - Yuki Ikeda
- Department of Tissue and Developmental Biology, Graduate School of Dentistry, Osaka University, Japan
| | - Hironori Hojo
- Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Japan
- Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Japan
| | - Shinsuke Ohba
- Department of Tissue and Developmental Biology, Graduate School of Dentistry, Osaka University, Japan
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Miles G, Smith M, Zook N, Zhang W. EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning. Comput Struct Biotechnol J 2024; 24:264-280. [PMID: 38638116 PMCID: PMC11024913 DOI: 10.1016/j.csbj.2024.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 03/15/2024] [Accepted: 03/16/2024] [Indexed: 04/20/2024] Open
Abstract
Alzheimer's Disease is the most prevalent neurodegenerative disease, and is a leading cause of disability among the elderly. Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer's Disease, with changes detectable at an early stage after initial onset. This paper introduces a new publicly available dataset: EM-COGLOAD (available at https://osf.io/zjtdq/, DOI: 10.17605/OSF.IO/ZJTDQ). A dual-task paradigm was used to create effects of declined cognitive performance in 75 healthy adults as they carried out visual tracking tasks. Their eye movement was recorded, and time series classification of the extracted eye movement traces was explored using a range of deep learning techniques. The results of this showed that convolutional neural networks were able to achieve an accuracy of 87.5% when distinguishing between eye movement under low and high cognitive load, and 76% when distinguishing between the oldest and youngest age groups.
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Affiliation(s)
- Gabriella Miles
- Centre for Machine Vision, Bristol Robotics Laboratory, University of the West of England, T Block, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK
| | - Melvyn Smith
- Centre for Machine Vision, Bristol Robotics Laboratory, University of the West of England, T Block, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK
| | - Nancy Zook
- Faculty of Health and Applied Sciences, University of the West of England, Bristol BS16 1QY, UK
| | - Wenhao Zhang
- Centre for Machine Vision, Bristol Robotics Laboratory, University of the West of England, T Block, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK
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Li C, Luo Y, Xie Y, Zhang Z, Liu Y, Zou L, Xiao F. Structural and functional prediction, evaluation, and validation in the post-sequencing era. Comput Struct Biotechnol J 2024; 23:446-451. [PMID: 38223342 PMCID: PMC10787220 DOI: 10.1016/j.csbj.2023.12.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 01/16/2024] Open
Abstract
The surge of genome sequencing data has underlined substantial genetic variants of uncertain significance (VUS). The decryption of VUS discovered by sequencing poses a major challenge in the post-sequencing era. Although experimental assays have progressed in classifying VUS, only a tiny fraction of the human genes have been explored experimentally. Thus, it is urgently needed to generate state-of-the-art functional predictors of VUS in silico. Artificial intelligence (AI) is an invaluable tool to assist in the identification of VUS with high efficiency and accuracy. An increasing number of studies indicate that AI has brought an exciting acceleration in the interpretation of VUS, and our group has already used AI to develop protein structure-based prediction models. In this review, we provide an overview of the previous research on AI-based prediction of missense variants, and elucidate the challenges and opportunities for protein structure-based variant prediction in the post-sequencing era.
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Affiliation(s)
- Chang Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yixuan Luo
- Beijing Normal University, Beijing, China
| | - Yibo Xie
- Information Center, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Zaifeng Zhang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ye Liu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lihui Zou
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Fei Xiao
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Beijing Normal University, Beijing, China
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van Oort P, Maaskant J, Luttik ML, Eskes A. Impact of a patient and family participation education program on hospital nurses' attitudes and competencies: A controlled before-after study. PEC Innov 2024; 4:100249. [PMID: 38225931 PMCID: PMC10788253 DOI: 10.1016/j.pecinn.2023.100249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 12/07/2023] [Accepted: 12/12/2023] [Indexed: 01/17/2024]
Abstract
Objective We designed a Patient and Family Participation Education Program (PFEP) with the aim of fostering a positive attitude and enhancing the competencies of hospital nurses required for effective patient and family participation in care. Methods In a Dutch university hospital, we conducted a before-after study. The PFEP comprising three courses: family conversation, supporting shared decision-making, and health literacy. We assessed nursing attitudes using the FINC-NA questionnaire and competencies with a separate questionnaire before and three months after the program. Changes in attitudes and competencies were analyzed using regression analysis. Results Twenty-two nurses participated in the education group, and 58 participated as controls.After three months, the change scores for the education group were statistically significantly higher on the total attitude score (FINC-NA) compared to the control group. Moreover, in six out of twelve competencies, the education group demonstrated significantly higher scores than the control group. Conclusion The educational program appeared effective in promoting nurses' attitudes and feelings of competencies towards patient and family-centered care. Innovation A blended education program focusing on patient and family has potential value for implementation in hospital care settings, especially for hospitals aiming to cultivate a more patient- and family-centered environment.
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Affiliation(s)
- Peter van Oort
- Amsterdam UMC Location University of Amsterdam, Emma Children's Hospital, Amsterdam, the Netherlands
- Amsterdam University of Applied Sciences, Faculty of Health, Center of Expertise Urban Vitality, Amsterdam, the Netherlands
| | - Jolanda Maaskant
- Amsterdam UMC Location University of Amsterdam, Emma Children's Hospital, Amsterdam, the Netherlands
- Amsterdam UMC Location University of Amsterdam, Internal Medicine, Amsterdam, the Netherlands
- Amsterdam UMC Location University of Amsterdam, Public Health, Amsterdam, the Netherlands
| | - Marie Louise Luttik
- Hanze University of Applied Sciences, Research Group Nursing Diagnostics, Professorship Family Care, Groningen, the Netherlands
| | - Anne Eskes
- Amsterdam University of Applied Sciences, Faculty of Health, Center of Expertise Urban Vitality, Amsterdam, the Netherlands
- Amsterdam UMC Location University of Amsterdam, Department of Surgery, Amsterdam, the Netherlands
- Amsterdam UMC Location University of Amsterdam, Public Health, Amsterdam, the Netherlands
- Menzies Health Institute Queensland and School of Nursing and Midwifery, Griffith University, Gold Coast, Australia
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Baris HE, Us MC, Boran P. Turkish adaptation of the maternal cognition about infant sleep questionnaire. Sleep Med X 2024; 7:100102. [PMID: 38268570 PMCID: PMC10805934 DOI: 10.1016/j.sleepx.2023.100102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 10/18/2023] [Accepted: 12/23/2023] [Indexed: 01/26/2024] Open
Abstract
Background Exploring early childhood sleep problems requires a detailed understanding of parental beliefs and cognitions related to infant sleep. There is a need for validated measures to investigate the cognitions of Turkish mothers about infant sleep however no scale measuring parental perceptions related to infant sleep behaviors in Turkish is available. We aimed to culturally adapt the Maternal Cognitions about Infant Sleep Questionnaire (MCISQ) in Turkish. Methods Subjects were recruited from an internet sample through social media. Internal consistency was evaluated by Cronbach's alpha, and test-retest reliability was determined by Pearson's correlation test and paired t-test. For factorial validity, the principal component factor analysis was performed for the components of MCISQ. Results A total of 417 mothers, most aged between 25 and 29 years (47.8 %), participated in the study. Infants' age ranged between 6 and 18 months, with a mean of 10.5 ± 3.9 months. Factor analysis revealed four factors after removal of item 11: Anger, doubt, safety, limit setting. Cronbach's alpha was 0.85. A subgroup of 32 mothers completed MCISQ three weeks after the initial administration. Total mean scores showed a significantly strong correlation (p:<0.01, r:0.82). Higher scores were noted in both total and subscale scores in infants with maternally reported sleep problems (p:<0.01). Conclusion Findings suggest a four-factor solution for MCISQ in Turkish mothers with infants aged 6-18 months. The adapted Turkish version is composed of 19 items with good reliability. Factor structure and items included in the subscales differed from the original study, highlighting the cultural factors related to maternal perceptions about infant sleep.
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Affiliation(s)
- Hatice Ezgi Baris
- Marmara University, School of Medicine, Department of Pediatrics, Division of Social Pediatrics, Istanbul, Turkey
- Marmara University, Institute of Health Sciences, Istanbul, Turkey
| | - Mahmut Caner Us
- Marmara University, School of Medicine, Department of Pediatrics, Division of Social Pediatrics, Istanbul, Turkey
- Marmara University, Institute of Health Sciences, Istanbul, Turkey
| | - Perran Boran
- Marmara University, School of Medicine, Department of Pediatrics, Division of Social Pediatrics, Istanbul, Turkey
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Shum MHH, Lee Y, Tam L, Xia H, Chung OLW, Guo Z, Lam TTY. Binding affinity between coronavirus spike protein and human ACE2 receptor. Comput Struct Biotechnol J 2024; 23:759-770. [PMID: 38304547 PMCID: PMC10831124 DOI: 10.1016/j.csbj.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/14/2024] [Accepted: 01/15/2024] [Indexed: 02/03/2024] Open
Abstract
Coronaviruses (CoVs) pose a major risk to global public health due to their ability to infect diverse animal species and potential for emergence in humans. The CoV spike protein mediates viral entry into the cell and plays a crucial role in determining the binding affinity to host cell receptors. With particular emphasis on α- and β-coronaviruses that infect humans and domestic animals, current research on CoV receptor use suggests that the exploitation of the angiotensin-converting enzyme 2 (ACE2) receptor poses a significant threat for viral emergence with pandemic potential. This review summarizes the approaches used to study binding interactions between CoV spike proteins and the human ACE2 (hACE2) receptor. Solid-phase enzyme immunoassays and cell binding assays allow qualitative assessment of binding but lack quantitative evaluation of affinity. Surface plasmon resonance, Bio-layer interferometry, and Microscale Thermophoresis on the other hand, provide accurate affinity measurement through equilibrium dissociation constants (KD). In silico modeling predicts affinity through binding structure modeling, protein-protein docking simulations, and binding energy calculations but reveals inconsistent results due to the lack of a standardized approach. Machine learning and deep learning models utilize simulated and experimental protein-protein interaction data to elucidate the critical residues associated with CoV binding affinity to hACE2. Further optimization and standardization of existing approaches for studying binding affinity could aid pandemic preparedness. Specifically, prioritizing surveillance of CoVs that can bind to human receptors stands to mitigate the risk of zoonotic spillover.
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Affiliation(s)
- Marcus Ho-Hin Shum
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
- School of Public Health, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China
| | - Yang Lee
- School of Public Health, The University of Hong Kong, Hong Kong, China
- Centre for Immunology and Infection (C2i), Hong Kong Science Park, Hong Kong, China
| | - Leighton Tam
- School of Public Health, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China
| | - Hui Xia
- Department of Chemistry, South University of Science and Technology of China, China
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Oscar Lung-Wa Chung
- Department of Chemistry, South University of Science and Technology of China, China
| | - Zhihong Guo
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Tommy Tsan-Yuk Lam
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
- School of Public Health, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China
- Centre for Immunology and Infection (C2i), Hong Kong Science Park, Hong Kong, China
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