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Metabolic profile of biodiverse diets in a healthy European cohort

The American Journal of Clinical Nutrition 2025年

作者： Bernadette Chimera Emine Koc Cakmak Jessica Blanco-Lopez Jeroen Berden Carine Biessy Pekka Keski-Rahkonen Geneviève Nicolas Justine Berlivet Carl Lachat Bernard Srour Kris A Murray Paolo Vineis Mathilde Touvier Oliver JK Robinson Giles Hanley-Cook Lorenzo Mangone Raul Zamora-Ros Rosario Tumino Jytte Halkjær Agnetha Rostgaard-Hansen Inge Huybrechts International Agency for Research on Cancer (IARC/WHO) Nutrition and Metabolism Branch 25 avenue Tony Garnier LYON CEDEX 07 France Medical Research Council Centre for Environment and Health School of Public Health Imperial College London UK Department of Food Technology Safety and Health Faculty of Bioscience Engineering Ghent University Ghent Belgium Université Sorbonne Paris Nord and Université Paris Cité INSERM INRAE CNAM Center for Research in Epidemiology and Statistics (CRESS) Nutritional Epidemiology Research Team (EREN) Bobigny France Centre on Climate Change and Planetary Health MRC Unit The Gambia at London School of Hygiene and Tropical Medicine Atlantic Boulevard Fajara The Gambia Unit of Nutrition and Cancer Cancer Epidemiology Research Program Catalan Institute of Oncology (ICO) Bellvitge Biomedical Research Institute (IDIBELL) 08908 Barcelona Spain Hyblean Association for Epidemiology Research AIRE ONLUS Ragusa Italy Danish Cancer Institute at the Danish Cancer Society Strandboulevarden 49 Copenhagen Denmark

Background There is increasing evidence that diets characterized by food biodiversity could contribute to health outcomes. Greater dietary species diversity has been linked to reduced gastrointestinal cancer risk and all-cause mortality. However, mechanistic pathways supporting the association between food biodiversity and health are just beginning to be explored. Aim To characterize the metabolic profile associated with food biodiversity of diets in a pan-European population. Methods Dietary species richness (DSR), or the absolute number of unique species in an individual’s diet, was calculated for 7,983 cancer-free control participants within the European Prospective Investigation into Cancer and Nutrition cohort study. Usual dietary intakes in the preceding year were assessed at recruitment with country-specific dietary questionnaires. Metabolomic profiles from blood which included 128 circulating endogenous metabolites,32 polyphenol compounds, and 39 fatty acid isomers were used as biomarkers of potential mechanisms underlying nutrition and health associations. Lasso regression identified key metabolites in discovery and replication sets, and multivariable stepwise linear regression were used to quantify associations between DSR and metabolomic profiles. Results A total of 52 metabolites were selected using Lasso regression in the replication set, of which 70% were statistically significant in stepwise linear regression. Higher DSR was associated with lower levels of 4 amino acids (e.g., tyrosine, -0.0231, 95% CI: -0.0362, -0.0100, p = 0.0009) and 2 acylcarnitines (e.g., C14:2, -0.0834, 95% CI: -0.1084, -0.0583, p < 0.0001). Conversely, higher levels were observed for 7 amino acids (e.g., tryptophan, -0.0954, 95% CI: -0.1049, -0.0860, p < 0.0001) and 9 polyphenols (e.g., epicatechin, p = 0.0017). Conclusion In this European middle-aged adult population, the circulating metabolic profiles of biodiverse diets are consistent with the metabolome linked with health-p

关键词： Metabolomics biodiversity food biodiversity species richness

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Corrigendum to "Dual regulatory effects of neferine on amyloid-β and tau aggregation studied by in silico, in vitro, and lab-on-a-chip technology" [Biomed. Pharmacother. 172 (2024) 1-14/116226]

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Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie 2024年 181卷 117686页

作者： Yunkwon Nam Ritu Prajapati Sujin Kim Soo Jung Shin Da Yeon Cheong Yong Ho Park Hyun Ha Park Danyou Lim Yoojeong Yoon Gyudo Lee Hyun Ah Jung Insu Park Dong-Hyun Kim Jae Sue Choi Minho Moon Department of Biochemistry College of Medicine Konyang University 158 Gwanjeodong-ro Seo-gu Daejeon 35365 Republic of Korea. Department of Food and Life Science Pukyong National University Busan 48513 Republic of Korea. Department of Biochemistry College of Medicine Konyang University 158 Gwanjeodong-ro Seo-gu Daejeon 35365 Republic of Korea Research Institute for Dementia Science Konyang University 158 Gwanjeodong-ro Seo-gu Daejeon 35365 Republic of Korea. Department of Biotechnology and Bioinformatics Korea University Sejong 30019 Republic of Korea Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Korea University Sejong 30019 Republic of Korea. Department of Biomedical Engineering Konyang University Daejeon 35365 Republic of Korea. Department of Food Science and Human Nutrition Chonbuk National University Jeonju 54896 Republic of Korea. Department of Biomedical Engineering Konyang University Daejeon 35365 Republic of Korea. Electronic address: insupark@konyang.ac.kr. Departments of Pharmacology and Advanced Translational Medicine School of Medicine Konkuk University Seoul 05029 Republic of Korea. Electronic address: mose79@kku.ac.kr. Department of Food and Life Science Pukyong National University Busan 48513 Republic of Korea. Electronic address: choijs@pknu.ac.kr. Research Institute for Dementia Science Konyang University 158 Gwanjeodong-ro Seo-gu Daejeon 35365 Republic of Korea. Electronic address: hominmoon@konyang.ac.kr.

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Correction to: IonCRAM: a reference-based compression tool for ion torrent sequence files

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BMC bioinformatics 2020年第1期21卷 435页

作者： Moustafa Shokrof Mohamed Abouelhoda Faculty of Computer Science University of California at Davis Davis CA USA. King Faisal Specialist Hospital and Research Center Riyadh Saudi Arabia. mabouelhoda@***. Saudi Human Genome Program King Abdulaziz City for Science and Technology (KACST) Riyadh Saudi Arabia. mabouelhoda@***. Systems and Biomedical Engineering Department Faculty of Engineering Cairo University University Square Giza Egypt. mabouelhoda@***.

An amendment to this paper has been published and can be accessed via the original article.

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Expert system for risk prediction of cesarean section delivery with Dempster Shafer method

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AIP Conference Proceedings 2020年第1期2314卷

作者： Ismaiba Riries Rulaningtyas Katherine Ernawati 1Biomedical Engineering Program Study Faculty of Science and Technology Universitas Airlangga Campus C Zip Code: 60115 Surabaya East Java Indonesia 2Fetomaternal Division of Obstetrics and Gynecology Department Faculty of Medicine Universitas Airlangga Campus A Zip Code: 60131 Surabaya East Java Indonesia

The maternal mortality rate in Indonesia is related to the lack of knowledge of mothers regarding high-risk pregnancies, especially with cesarean delivery. In this case, the prediction system designed is done as an effort to increase the awareness of mothers or women who were preparing for high-risk pregnancies. In this article, an Android-based prediction application will be presented using an expert system with the Dempster Shafer method. This method is based on a mathematical theory which consists of a combination of belief function and plausible reasoning from the risk parameters of each labor class by representing the knowledge obtained from experts. This study uses 16 risk parameters as input based on Poejo Rochati's high-risk pregnancy card with 2 outputs, with risk or no risk of having cesarean delivery. The result obtained from this system is 85%, concludes that the prediction system is able to predict the risk of cesarean delivery.

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Challenge of Renewable Energy Transition towards Krabi's Sustainable Energy City

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IOP Conference Series: Earth and Environmental Science 2019年第1期385卷

作者： Chariya Senpong Dawan Wiwattanadate Environment Development and Sustainability Interdisciplinary Program Graduate School Chulalongkom University Bangkok Thailand Faculty of Engineering Chulalongkorn University Bangkok Thailand

This paper is a review article collecting relevant data and information for developing a transition model towards a sustainable energy city: a case study of Krabi Province, Thailand. An expanding tourism sector in Krabi is increasing energy demand, which continues to grow year after year. Meanwhile, the energy supply of the province relies on the centralization of the southern and central regional energy system to the national grid transmission system. According to the 2018 National Power Development Plan, Krabi is projected to shift to regional grid decentralization; coupled with increasing its power generation from renewable energy with affordability and community participation. Therefore, Krabi Vision 2020, which is a provincial master plan, would lead the direction of Krabi's plan towards energy transition. Increasing renewable energy investment and disruptive technology to secure the potential of solar, biomass, biogas, wind and mini-hydro is paving the way to shift Krabi to a sustainable energy future. The implementation of a sustainable energy transition across the province, would bring benefits for the local economy, environmental conservation, and energy security. To achieve this energy transition, Krabi requires coordination of smart policy, local and government participation, and sound planning. This review study suggests that the transition towards a sustainable energy future depends on identifying the political barriers, and the adoption of effective management practices.

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Optimization of hybrid PVA/hFDM scaffold preparation

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AIP Conference Proceedings 2021年第1期2344卷

作者： Rizqa Inayati Muhammad Suhaeri Nuzli Fahdia Melinda Remelia Radiana Dhewayani Antarianto 1Master Program in Biomedical Science Faculty of Medicine Universitas Indonesia Jl. Salemba Raya No. 6 Central Jakarta DKI Jakarta 10430 Indonesia 2Rumah Sakit Universitas Indonesia Kampus Universitas Indonesia Depok West Java 16424 Indonesia 3Stem cell and Tissue Engineering Research Cluster Indonesian Medical Education and Research Institute (IMERI) Universitas Indonesia Salemba Raya Jakarta West Java 10430 Indonesia 4Doctoral Program in Biomedical Science Faculty of Medicine Universitas Indonesia Jl. Salemba Raya No. 6 Central Jakarta DKI Jakarta 10430 Indonesia 5Department of Basic Biomedicine Faculty of Medicine Universitas Kristen Indonesia Jl Mayjen Sutoyo No 2 DKI Jakarta 13630 Indonesia 6Department of Histology Faculty of Medicine Universitas Indonesia Jl. Salemba Raya No. 6 Central Jakarta DKI Jakarta 10430 Indonesia

Osteogenic differentiation from Mesenchymal Stem Cell (MSC) to osteoblast has a clinical significance which is very important for treating bone injuries, in the form of femoral fractures with the most cases in Indonesia. Various studies have been conducted to find the best scaffold that can improve osteogenic differentiation, one of which is the development of a hybrid scaffold made from natural biomaterials in the form of the extracellular matrix, and from synthetic biomaterials. The discovery of the best scaffold is not only focused on the source of the scaffold but also requires optimization of the method in making the scaffold. Therefore, the aim of this study is to find out the optimum method for making hybrid scaffolds that support osteogenic differentiation from MSC. Materials and methods: human Fibroblast-derived Matrix (hFDM) as a hybrid scaffold material collected from decellularized fibroblasts cultures from post-cleft-surgery reconstruction palatal skin. Fibroblast cell cultures were divided into two groups of cultures, cultures without Platelet Rich Plasma (PRP), and cultures with the addition of PRP. For decellularization, we performed optimization at the preparation stage of the decellularization solution, and the time of culture for decellularization. In the preparation of the decellularization solution, we divided it into two groups, NH4OH as material from the decellularization solution was diluted with PBS before mixing with 0.25% Triton X-100, and NH4OH was diluted directly in 0.25% Triton X-100. In optimizing the culture time for decellularization, we divided it into three groups, decellularization on the day when cell growth reached 100% confluent, decellularization on the 3rd day after 100% confluent (H + 3) cells, and decellularization on the 4th day after 100% confluent (H + 4) cells. Next, the hFDM matrix is collected and added Polyvinyl Alcohol (PVA) solutions to form a hybrid PVA / hFDM scaffold in the form of a hydrogel. Observations on h

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Connecting distant entities with induction through conditional random fields for named entity recognition: Precursor-induced CRF

arXiv

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arXiv 2018年

作者： Lee, Wangjin Choi, Jinwook Interdisciplinary Program for Bioengineering Seoul National University Korea Republic of Department of Biomedical Engineering College of Medicine Seoul National University Korea Republic of Institute of Medical and Biological Engineering Medical Research Center Seoul National University Korea Republic of

This paper presents a method of designing specific high-order dependency factor on the linear chain conditional random fields (CRFs) for named entity recognition (NER). Named entities tend to be separated from each other by multiple outside tokens in a text, and thus the first-order CRF as well as the second-order CRF may innately lose transition information between distant named entities. The proposed design uses outside label in NER as a transmission medium of precedent entity information on the CRF. Then, empirical results apparently demonstrate that it is possible to exploit long-distance label dependency in the original first-order linear chain CRF structure upon NER while reducing computational loss rather than in the second-order CRF. Copyright © 2018, The Authors. All rights reserved.

关键词： Random processes

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Rules all PIs should follow

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Science (New York, N.Y.) 2022年第6588期376卷 24-26页

作者： Jennifer S Chen Chih Ying Huang Shantanu Lanke Michael Sanjay Fernandopulle Yongsheng Ji Yuan Zhi Sara Granado Rodríguez Andrea Y Frommel Martin Lukačišin Yida Zhang Christina N Zdenek Xiao-Yu Wu Senthilkumar Seenuvasaragavan Yan Zhuang Cathrine Bergh Jaime Coulbois Salam Salloum-Asfar Bo Cao Katherine Davis Fernanda Oda Nikos Konstantinides Liping Zhang Divyansh Agarwal Joseph Nicholas Rainaldi Jan Kadlec Jelle Vekeman Vishal Anirudh Kanigicherla Kathryn Oi Kyle J Isaacson Rakesh Ganji Emma Dawson-Glass Yale School of Medicine New Haven CT 06510 USA. Department of Physics National Cheng Kung University Tainan 70101 Taiwan (Republic of China). Maharashtra 422101 India. Medical Scientist Training Program Northwestern University Feinberg School of Medicine Chicago IL 60611 USA. Division of Life Sciences and Medicine University of Science and Technology of China Hefei Anhui 230026 China. School of Economics Guizhou University Guiyang Guizhou 550025 China. Department of Biology Universidad Autónoma de Madrid Madrid Madrid 28049 Spain. Faculty of Land and Food Systems University of British Columbia Vancouver BC V6T 1Z4 Canada. Faculty of Medicine Technion Haifa 3525433 Israel. Department of Biomedical Informatics Harvard University Brookline MA 02445 USA. School of Biological Sciences The University of Queensland St Lucia QLD 4072 Australia. Department of Mechanical and Mechatronics Engineering University of Waterloo Waterloo ON N2L 3G1 Canada. Mumbai 400076 India. Peking-Tsinghua Center for Life Sciences Peking University Beijing 100871 China. KTH Royal Institute of Technology 11428 Stockholm Sweden. Departamento de Ciencia Política y Relaciones Internacionales Universidad Autónoma de Madrid Ciudad Universitaria de Cantoblanco Madrid Spain. Qatar Biomedical Research Institute Hamad Bin Khalifa University Qatar Foundation Doha Qatar. Core Research Laboratory The Second Affiliated Hospital School of Medicine Xi'an Jiaotong University Xi'an Shaanxi 710004 China. Imperial College London London UK. Department of Applied Behavioral Science University of Kansas Lawrence KS 66045 USA. Université Paris Cité Centre National de la Recherche Scientifique Institut Jacques Monod F-75013 Paris France. Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen Guangdong 518055 China. Harvard Medical School Massachusetts General Hospital Boston MA 02114 USA. Department of Biomedical Science University of Calif

We asked young scientists to write a rule that all principal investigators (PIs) should be required to follow to improve the experience of young scientists in their lab. Read a selection of their suggestions below. Fo...

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Next-generation sequencing yields the complete mitochondrial genome of mud spiny lobster, Panulirus polyphagus (Crustacea: Decapoda) from Madura water

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IOP Conference Series. Earth and Environmental Science 2019年第1期348卷

作者： Andriyono, S Alam, M J Pramono, H Abdillah, A A Kim, H W Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 48513 Republic of Korea Department of Marine Fisheries and Marine Faculty C Campus Jl. Mulyorejo Surabaya 60115. Universitas Airlangga Surabaya East Java Indonesia Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 48513 Republic of Korea Department of Marine Fisheries and Marine Faculty C Campus Jl. Mulyorejo Surabaya 60115. Universitas Airlangga Surabaya East Java Indonesia Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 48513 Republic of Korea Department of Marine Biology Pukyong National University Busan 48513 Republic of Korea

The circular mitochondrial genome of the mud spiny lobster, Panulirus polyphagus was determined by next-generation sequencing (NGS) platform. The mitochondrial genome of P. polyphagus was 15,707 bp in length, which comprised 13 protein-coding genes, 22 tRNAs, two ribosomal RNAs (12S and 16S). A non-coding putative control region (739 bp) was located between 12S ribosomal RNA and tRNA-Ile. Except for COX1, 13 protein-coding genes initiated with the conventional start codon (ATG). The phylogenetic analysis with the mitogenomes in family Palinuridae showed P. polyphagus was clustered together with four congener species forming a clade, and Panulirus versicolor is closest to P. polyphagus.

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Implementing a Patient Portal for the Remote Follow-Up of Self-Isolating Patients With COVID-19 Infection Through Patient and Stakeholder Engagement (the Opal-COVID Study): Mixed Methods Pilot Study

Journal of participatory medicine

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Journal of participatory medicine 2024年 16卷 e48194页

作者： Yuanchao Ma David Lessard Serge Vicente Kim Engler Adriana Rodriguez Cruz Moustafa Laymouna Tarek Hijal Lina Del Balso Guillaume Thériault Nathalie Paisible Nadine Kronfli Marie-Pascale Pomey Hansi Peiris Sapha Barkati Marie-Josée Brouillette Marina Klein Joseph Cox Alexandra de Pokomandy Jamil Asselah Susan J Bartlett Bertrand Lebouché Center of Outcomes Research and Evaluation Research Institute of the McGill University Health Centre Montreal QC Canada. Infectious Diseases and Immunity in Global Health Program Research Institute of McGill University Health Centre Montreal QC Canada. Chronic Viral Illness Service McGill University Health Centre Montreal QC Canada. Department of Biomedical Engineering Polytechnique Montréal Montreal QC Canada. Department of Mathematics and Statistics University of Montreal Montreal QC Canada. Department of Family Medicine Faculty of Medicine and Health Sciences McGill University Montreal QC Canada. Department of Radiation Oncology McGill University Health Centre Montreal QC Canada. Department of Medicine Faculty of Medicine and Health Sciences McGill University Montreal QC Canada. Research Centre of the University of Montreal Hospital Centre Montreal QC Canada. Centre of Excellence on Partnership with Patients and the Public Montreal QC Canada. Department of Health Policy Management and Evaluation School of Public Health University of Montreal Montreal QC Canada. Department of Psychiatry Faculty of Medicine and Health Sciences McGill University Montreal QC Canada. Department of Epidemiology Biostatistics and Occupational Health Faculty of Medicine and Health Sciences McGill University Montreal QC Canada. Department of Medicine Division of Medical Oncology McGill University Health Centre Montreal QC Canada.

BACKGROUND:The COVID-19 pandemic was an unprecedent challenge to public health systems, with 95% of cases in Quebec sent home for self-isolation. To ensure continuous care, we implemented an intervention supported by a patient portal (Opal) to remotely monitor at-home patients with COVID-19 via daily self-reports of symptoms, vital signs, and mental health that were reviewed by health care professionals. OBJECTIVE:We describe the intervention's implementation, focusing on the (1) process; (2) outcomes, including feasibility, fidelity, acceptability, usability, and perceived response burden; and (3) barriers and facilitators encountered by stakeholders. METHODS:The implementation followed a co-design approach operationalized through patient and stakeholder engagement. The intervention included a 14-day follow-up for each patient. In the mixed methods study at the McGill University Health Centre in Montreal, Quebec, participants completed questionnaires on implementation outcomes on days 1, 7, and 14. All scores were examined against predefined success thresholds. Linear mixed models and generalized estimating equations were used to assess changes in scores over time and whether they differed by sex, age, and race. Semistructured interviews were conducted with expert patients, health care professionals, and coordinators for the qualitative analysis and submitted to thematic analysis guided by the Consolidated Framework for Implementation Research. RESULTS:In total, 51 participants were enrolled between December 2020 and March 2021; 49 (96%) were included in the quantitative analysis. Observed recruitment and retention rates (51/52, 98% and 49/51, 96%) met the 75% feasibility success threshold. Over 80% of the participants found it "quite easy/very easy" to complete the daily self-report, with a completion rate (fidelity) of >75% and a nonsignificant decreasing trend over time (from 100%, 49/49 to 82%, 40/49; P=.21). Mean acceptability and usability scores at all time

关键词： Canada SARS-CoV-2 app coronavirus health information technology implementation science infectious disease mobile phone patient portal remote monitoring telehealth telemedicine

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