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Interregional mobility in different age groups is associated with COVID-19 transmission in the Taipei metropolitan area, Taiwan

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Scientific reports 2023年第1期13卷 17285页

作者： Wei-Ming Jiang Tzai-Hung Wen Ying-Chi Huang Hung-Yi Chiou Wei J Chen Chao A Hsiung Huey-Kang Sytwu Hsiao-Hui Tsou Institute of Population Health Sciences National Health Research Institutes 35 Keyan Road Zhunan 350 Miaoli County Taiwan. Department of Geography National Taiwan University Taipei Taiwan. National Institute of Infectious Diseases and Vaccinology National Health Research Institutes Zhunan Miaoli County Taiwan. School of Public Health College of Public Health Taipei Medical University Taipei Taiwan. Master's Program in Applied Epidemiology College of Public Health Taipei Medical University Taipei Taiwan. Center for Neuropsychiatric Research National Health Research Institutes Zhunan Miaoli County Taiwan. Institute of Epidemiology and Preventive Medicine College of Public Health National Taiwan University Taipei Taiwan. Institute of Population Health Sciences National Health Research Institutes 35 Keyan Road Zhunan 350 Miaoli County Taiwan. tsouhh@nhri.org.tw. Graduate Institute of Biostatistics College of Public Health China Medical University Taichung Taiwan. tsouhh@nhri.org.tw.

Before vaccines were introduced, mobility restriction was one of the primary control measures in the early stage of the coronavirus disease 2019 (COVID-19) pandemic. Because different age groups face disproportionate health risks, differences in their mobility changes affect the effectiveness of pandemic control measures. This study aimed to investigate the relationship between multiscale mobility patterns in different age groups and COVID-19 transmission before and after control measures implementation. Data on daily confirmed case numbers, anonymized mobile phone data, and 38 socioeconomic factors were used to construct negative binomial regression models of these relationships in the Taipei metropolitan area in May 2021. To avoid overfitting, the socioeconomic factor dimensions were reduced by principal component analysis. The results showed that inter-district mobility was a greater promoter of COVID-19 transmission than was intra-district mobility (coefficients: pre-alert, 0.52 and 0.43; post-alert, 0.41 and 0.36, respectively). Moreover, both the inter-district mobility of people aged 15-59 and ≥ 60 years were significantly related to the number of confirmed cases (coefficients: pre-alert, 0.82 and 1.05; post-alert, 0.48 and 0.66, respectively). The results can help agencies worldwide formulate public health responses to emerging infectious diseases.

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Ten quick tips for deep learning in biology

arXiv

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arXiv 2021年

作者： Lee, Benjamin D. Gitter, Anthony Greene, Casey S. Raschka, Sebastian Maguire, Finlay Titus, Alexander J. Kessler, Michael D. Lee, Alexandra J. Chevrette, Marc G. Stewart, Paul Allen Britto-Borges, Thiago Cofer, Evan M. Yu, Kun-Hsing Carmona, Juan Jose Fertig, Elana J. Kalinin, Alexandr A. Signal, Beth Lengerich, Benjamin J. Triche, Timothy J. Boca, Simina M. In-Q-Tel Labs School of Engineering and Applied Sciences Harvard University Department of Genetics Harvard Medical School United States Department of Biostatistics and Medical Informatics University of Wisconsin-Madison MadisonWI United States Morgridge Institute for Research MadisonWI United States Department of Systems Pharmacology and Translational Therapeutics Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Biochemistry and Molecular Genetics University of Colorado School of Medicine AuroraCO United States Center for Health AI University of Colorado School of Medicine AuroraCO United States Department of Statistics University of Wisconsin Madison United States Faculty of Computer Science Dalhousie University Canada University of New Hampshire Bioeconomy.XYZ United States Department of Oncology Johns Hopkins University United States Institute for Genome Sciences University of Maryland School of Medicine United States Genomics and Computational Biology Graduate Program University of Pennsylvania United States Department of Systems Pharmacology and Translational Therapeutics University of Pennsylvania United States Wisconsin Institute for Discovery Department of Plant Pathology University of Wisconsin-Madison United States Department of Biostatistics and Bioinformatics Moffitt Cancer Center TampaFL United States Section of Bioinformatics and Systems Cardiology Klaus Tschira Institute for Integrative Computational Cardiology University Hospital Heidelberg Germany University Hospital Heidelberg Germany Lewis-Sigler Institute for Integrative Genomics Princeton University PrincetonNJ United States Graduate Program in Quantitative and Computational Biology Princeton University PrincetonNJ United States Department of Biomedical Informatics Harvard Medical School United States Department of Pathology Brigham and Women's Hospital United States Philips Healthcare CambridgeMA United States Philips Research

Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that can recognize patterns in data and use them for predictive modeling. Artificial neural networks are a particular class of machine learning algorithms and models that evolved into what is now described as deep learning. Given the computational advances made in the last decade, deep learning can now be applied to massive data sets and in innumerable contexts. Therefore, deep learning has become its own subfield of machine learning. In the context of biological research, it has been increasingly used to derive novel insights from high-dimensional biological data. To make the biological applications of deep learning more accessible to scientists who have some experience with machine learning, we solicited input from a community of researchers with varied biological and deep learning interests. These individuals collaboratively contributed to this manuscript's writing using the GitHub version control platform and the Manubot manuscript generation toolset. The goal was to articulate a practical, accessible, and concise set of guidelines and suggestions to follow when using deep learning. In the course of our discussions, several themes became clear: the importance of understanding and applying machine learning fundamentals as a baseline for utilizing deep learning, the necessity for extensive model comparisons with careful evaluation, and the need for critical thought in interpreting results generated by deep learning, among others. © 2021, CC BY.

关键词： Learning algorithms

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Corrigendum to “Spatial risk assessment of ovine Scrapie in Brazil” [Microbial Risk Analysis 25 (2023) 100282]

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Microbial Risk Analysis 2024年 27-28卷

作者： Paulo Gomes do Nascimento Corrêa Francisco Alyson Silva Oliveira Rivanni Jeniffer Souza Castro Carlos Thiago Silveira Alvim Mendes de Oliveira Glenda Lídice de Oliveira Cortez Marinho Abelardo Silva Júnior Ricardo Antonio Pilegi Sfaciotte David Germano Gonçalves Schwarz Graduate Program in Technologies Applied to Animals of Regional Interest (PPGTAIR) Universidade Federal do Piauí Teresina Brazil Veterinary Medicine Centro Universitário Católica do Leste de Minas Gerais Ipatinga-MG Brazil Veterinary Medicine Universidade Federal de Sergipe Nossa Senhora da Glória-SE Brazil Institute of Biological and Health Sciences Universidade Federal de Alagoas Maceió-AL Brazil Agroveterinary Sciences College Universidade do Estado de Santa Catarina (UDESC) Lages-SC Brazil

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Endothelial structure contributes to heterogeneity in brain capillary diameter

Vascular biology (Bristol, England)

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Vascular biology (Bristol, England) 2023年第1期5卷 e230010页

作者： Sheridan M Sargent Stephanie K Bonney Yuandong Li Stefan Stamenkovic Marc M Takeno Vanessa Coelho-Santos Andy Y Shih Neuroscience Graduate Program University of Washington Seattle Washington USA. Center for Developmental Biology and Regenerative Medicine Seattle Children's Research Institute Seattle Washington USA. Allen Institute for Brain Science Seattle Washington USA. Coimbra Institute for Biomedical Imaging and Translational Research University of Coimbra Portugal. Institute of Nuclear Sciences Applied to Health University of Coimbra Portugal. Department of Pediatrics University of Washington Seattle Washington USA. Department of Bioengineering University of Washington Seattle Washington USA.

The high metabolic demand of brain tissue is supported by a constant supply of blood flow through dense microvascular networks. Capillaries are the smallest class of vessels in the brain and their lumens vary in diameter between ~2 and 5 μm. This diameter range plays a significant role in optimizing blood flow resistance, blood cell distribution, and oxygen extraction. The control of capillary diameter has largely been ascribed to pericyte contractility, but it remains unclear if the architecture of the endothelial wall also contributes to capillary diameter. Here, we use public, large-scale volume electron microscopy data from mouse cortex (MICrONS Explorer, Cortical mm3) to examine how endothelial cell number, endothelial cell thickness, and pericyte coverage relates to microvascular lumen size. We find that transitional vessels near the penetrating arteriole and ascending venule are composed of two to six interlocked endothelial cells, while the capillaries intervening these zones are composed of either one or two endothelial cells, with roughly equal proportions. The luminal area and diameter are on average slightly larger with capillary segments composed of two interlocked endothelial cells vs one endothelial cell. However, this difference is insufficient to explain the full range of capillary diameters seen in vivo. This suggests that both endothelial structure and other influences, including pericyte tone, contribute to the basal diameter and optimized perfusion of brain capillaries.

关键词： endothelium imaging microvasculature vascular heterogeneity vascular homeostasis

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Microbiota analysis in the hemodialysis population - Focusing on Enterobacteriaceae

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Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi 2023年第2期56卷 311-323页

作者： Hon-Yen Wu Yi-Tsung Lin Wan-Chuan Tsai Yen-Ling Chiu Mei-Ju Ko Ju-Yeh Yang Mei-Fen Pai Hsin-Sui Hsu Shih-Ping Hsu Yu-Sen Peng Chun-Hsing Liao Department of Internal Medicine Far Eastern Memorial Hospital New Taipei City Taiwan School of Medicine College of Medicine National Yang Ming Chiao Tung University Taipei City Taiwan Institute of Epidemiology and Preventive Medicine College of Public Health National Taiwan University Taipei City Taiwan Department of Internal Medicine National Taiwan University Hospital and College of Medicine Taipei City Taiwan. Division of Infectious Diseases Department of Medicine Taipei Veterans General Hospital Taipei City Taiwan Institute of Emergency and Critical Care Medicine National Yang Ming Chiao Tung University Taipei City Taiwan. Center for General Education Lee-Ming Institute of Technology New Taipei City Taiwan. Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan Graduate Institute of Medicine Yuan Ze University Taoyuan City Taiwan. Department of Dermatology Taipei City Hospital Taipei City Taiwan Department of Dermatology National Taiwan University Hospital and College of Medicine Taipei City Taiwan. Department of Internal Medicine Far Eastern Memorial Hospital New Taipei City Taiwan. School of Life Science National Taiwan Normal University Taipei City Taiwan. Department of Applied Cosmetology Lee-Ming Institute of Technology New Taipei City Taiwan Department of Healthcare Administration Asia Eastern University of Science and Technology New Taipei City Taiwan. School of Medicine College of Medicine National Yang Ming Chiao Tung University Taipei City Taiwan. Electronic address: liaoch@femh.org.tw.

BACKGROUND:Infection is a recognized risk factor for mortality among hemodialysis (HD) population, including infection caused by Enterobacteriaceae. We aimed to investigate Enterobacteriaceae in gut microbiota among HD patients and to analyze associations between microbiota and clinical parameters. METHODS:This prospective study of microbiota analysis in HD patients was conducted in April-May 2019. A control group without recent antibiotic use or hospitalization was used for comparison. Stool samples underwent 16S rRNA sequencing, using Greengenes 16S rRNA database for microbiota analysis. RESULTS:Among 96 hemodialysis (HD) patients, mean age was 61.9 ± 0.8 years and mean duration of HD was 6.5 ± 0.7 years. No significant differences were found in alpha diversity between HD and control groups (HD group 949.5, controls 898; p = 0.16) although significant between-group differences were found in beta diversity (p < 0.001). At phylum level, HD group had a higher abundance of Firmicutes and Proteobacteria, but lower abundance of Bacteriodetes. At genus level, Escherichia-Shigella complex increased among HD patients who had hospitalization with 1 year (median 0.024 vs 0.004, p = 0.054) and Klebsiella was associated with emergency room visit within 1 year among HD patients (p = 0.002). CONCLUSIONS:Alpha diversity in HD patients is not lower than that in healthy controls but significant between-group differences are found in microbiota composition according to beta diversity, due to decreased Bacteriodetes and increased Firmicutes and Proteobacteria. Deeper microbiota analyses for Enterobacteriaceae are necessary. Whether change in dietary components can help to decrease mortality among dialysis population warrants further research.

关键词： Chronic Enterobacteriaceae Gastrointestinal microbiome Hemodialysis Kidney failure Microbiota Prognosis

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Phytocannabinoids: Pharmacological effects, biomedical applications, and worldwide prospection

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Journal of traditional and complementary medicine 2023年第6期13卷 575-587页

作者： Ana L G de Brito Siqueira Pedro V V Cremasco Juliana O Bahú Aline Pioli da Silva Lucas R Melo de Andrade Paula G A González Sara Crivellin Viktor O Cárdenas Concha Karolline Krambeck Leandro Lodi Patrícia Severino Eliana B Souto Institute of Science and Technology Federal University of Alfenas (UNIFAL) Poços de Caldas 37715-400 Minas Gerais Brazil. National Institute of Science and Technology in Biofabrication (INCT-BIOFABRIS) School of Chemical Engineering University of Campinas Albert Einstein Ave. Cidade Universitária Zeferino Vaz Campinas 13083-852 SP Brazil. Institute of Environmental Chemical and Pharmaceutical Science School of Chemical Engineering Federal University of São Paulo (UNIFESP) São Nicolau St. Jd. Pitangueiras Diadema 09913-030 SP Brazil. Laboratory of Pharmaceutical Technology Faculty of Pharmaceutical Sciences Food and Nutrition Federal University of Mato Grosso do Sul Campo Grande 79070-900 MS Brazil. Laboratory of Pharmaceutical Technology Department of Drug Sciences Faculty of Pharmacy University of Porto 4050-313 Porto Portugal. UCIBIO - Applied Molecular Biosciences Unit MEDTECH Faculty of Pharmacy University of Porto 4050-313 Porto Portugal. Associate Laboratory i4HB - Institute for Health and Bioeconomy Faculty of Pharmacy University of Porto 4050-313 Porto Portugal. Laboratory of Nanotechnology and Nanomedicine (LNMed) Institute of Technology and Research (ITP) Murilo Dantas Ave. 300 Aracaju 49010-390 Sergipe Brazil. Industrial Biotechnology Program University of Tiradentes (UNIT) Murilo Dantas Ave. 300 Aracaju 49010-390 Sergipe Brazil.

Scientific evidence exists about the association between neurological diseases (i.e., Parkinson's disease, Alzheimer's disease, amyotrophic lateral sclerosis (ALS), multiple sclerosis, depression, and memory loss) and oxidative damage. The increasing worldwide incidence of such diseases is attracting the attention of researchers to find palliative medications to reduce the symptoms and promote quality of life, in particular, in developing countries, e.g., South America and Africa. Among potential alternatives, extracts of L. are suitable for people who have neurological disorders, spasticity, and pain, nausea, resulting from diseases such as cancer and arthritis. In this review, we discuss the latest developments in the use of Cannabis, its subtypes and constituents, extraction methods, and relevant pharmacological effects. Biomedical applications, marketed products, and prospects for the worldwide use of L. extracts are also discussed, providing the bibliometric maps of scientific literature published in representative countries from South America (i.e., Brazil) and Africa (i.e., South Africa). A lack of evidence on the effectiveness and safety of Cannabis, besides the concerns about addiction and other adverse events, has led many countries to act with caution before changing Cannabis-related regulations. Recent findings are expected to increase the social acceptance of Cannabis, while new technologies seem to boost the global cannabis market because the benefits of (-)-trans-delta-9-tetrahydrocannabinol (Δ9-THC) and cannabidiol (CBD) use have been proven in several studies in addition to the potential to general new employment.

关键词： Cannabidiol Cannabis Sativa L. Commercial products Market Trans-Delta-9-tetrahydrocannabinol

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Author response

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Physical therapy 2014年第12期94卷 1826-8页

作者： Susan Armijo-Olivo Greta G Cummings Jorge Fuentes Humam Saltaji Bruno R da Costa Christine Ha Annabritt Chisholm Dion Pasichnyk Todd Rogers S. Armijo-Olivo BScPT MScPT PhD CLEAR (Connecting Leadership and Research) Outcomes Research Program and Faculty of Rehabilitation Medicine 3-48 Corbett Hall Department of Physical Therapy University of Alberta Edmonton Alberta Canada T6G 2G4. G.G. Cummings RN PhD FCAHS CLEAR Outcomes Research Program Edmonton Clinic Health Academy (ECHA) Faculty of Nursing University of Alberta. J. Fuentes BPT MSc PhD Faculty of Rehabilitation Medicine University of Alberta and Department of Physical Therapy Catholic University of Maule Talca Chile. H. Saltaji DDS MSc(Ortho) Orthodontic Graduate Program School of Dentistry University of Alberta. B.R. da Costa PT BScPT MSc PhD Department of Physical Therapy Florida International University Miami Florida. C. Ha BSc Rehabilitation Research Center Faculty of Rehabilitation Medicine University of Alberta. A. Chisholm BSc Alberta Research Centre for Health Evidence Department of Pediatrics Faculty of Medicine and Dentistry University of Alberta. D. Pasichnyk MSc(Public Health) Institute of Health Economics Edmonton Alberta Canada. T. Rogers PhD Centre for Research in Applied Measurement and Evaluation (CRAME) University of Alberta.

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Author Correction: Periodical reactivation under the effect of caffeine attenuates fear memory expression in rats

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Scientific reports 2018年第1期8卷 11944页

作者： Lizeth K Pedraza Rodrigo O Sierra Fernanda N Lotz Lucas De Oliveira Alvares Laboratório de Neurobiologia da Memória Universidade Federal do Rio Grande do Sul Porto Alegre Brazil. pedraza.lk@***. Graduate Program in Neuroscience Institute of Health Sciences 90.046-900 Universidade Federal do Rio Grande do Sul Porto Alegre Brazil. pedraza.lk@***. Laboratório de Neurobiologia da Memória Universidade Federal do Rio Grande do Sul Porto Alegre Brazil. Laboratório de Psicobiologia e Neurocomputação Biophysics Department Biosciences Institute 91.501-970 Universidade Federal do Rio Grande do Sul Porto Alegre Brazil. Laboratório de Neurobiologia da Memória Universidade Federal do Rio Grande do Sul Porto Alegre Brazil. lucas.alvares@ufrgs.br. Graduate Program in Neuroscience Institute of Health Sciences 90.046-900 Universidade Federal do Rio Grande do Sul Porto Alegre Brazil. lucas.alvares@ufrgs.br.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

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Mutationally Enriched Regions of the Non-Coding Genome Harbor Functionally Impactful Mutations That Dysregulate Key Genes Involved in Multiple Myeloma Pathogenesis

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Blood 2024年 144卷 4655-4655页

作者： Patrick Blaney Kylee H Maclachlan Marios Papadimitriou Aneta Mikulasova Dylan C Gagler Marc J Braunstein Oscar B Lahoud David Kaminetzky Yubao Wang Sanxiong Liu Di Zhang Anthony Cirrincione Alexandra Maria Poos Bachisio Ziccheddu Marcella Kaddoura Monika Chojnacka Benjamin Diamond Neha Korde Alexander M. Lesokhin Saad Z. Usmani Gareth Morgan Perlmutter Cancer Center Multiple Myeloma Research Program NYU Langone Health New York NY Applied Bioinformatics Laboratories NYU Grossman School of Medicine NYU Langone Health New York NY Myeloma Service Division of Hematologic Oncology Department of Medicine Memorial Sloan Kettering Cancer Center New York NY Myeloma Institute Sylvester Comprehensive Cancer Center University of Miami Miami FL Centre for Cancer and Biosciences Institute Faculty of Medical Sciences Newcastle University Newcastle Upon Tyne United Kingdom Heidelberg Myeloma Center Department of Internal Medicine V University Hospital Heidelberg Heidelberg Germany Myeloma Institute Sylvester Comprehensive Cancer Center University of Miami Dearborn MI

Introduction The pathogenic role of somatic non-coding (nc) single nucleotide variants (SNVs) is underexplored in multiple myeloma (MM) and additional characterization of these regions has the potential to provide significant new insights into disease progression. To investigate the role of ncSNVs and their relationship with MM pathogenesis, we have characterized a novel series of WGS from 294 cases of MGUS, SMM, and MM using computational tools optimized to identify functional driver SNVs in these regions. We hypothesize the ncSNVs that co-localize to sites of super-enhancers (SEs) active in plasma cells (PC) are sites of high functional impact SNVs and these mutations lead to the dysregulated expression of genes that should be silent at the terminally differentiated stage of PCs, providing a selective advantage that shapes the fitness of the MM genomic landscape. Methods We analyzed 294 high-coverage matched tumor/normal pairs (80x tumor and 40x normal) derived from 21 MGUS, 86 SMM, 167 NDMM and 40 RRMM. In addition to previously sequenced samples, newly sequenced patients were obtained from NYU Langone health, Memorial Sloan Kettering Cancer Center, University of Alabama at Birmingham and University of Miami following IRB-approved informed consent. DNA was extracted from CD138+ purified bone marrow plasma cells using standard approaches. We used the MGP1000 (https://***/pblaney/mgp1000) to process sequencing data which employs a union-consensus mechanism for determining the final set of variants. We collected enhancer elements (E/SEs) active in GC B-cells, ABC-DLBCL and GBC-DLBCL (Bal, et al. Nature, 2022) and PC specific E/SEs (Loven, et al. Cell 2013). FunSeq2 was used to score ncSNVs. GRAM was used to predict how variants alter TF binding and gene expression in a subset of 6 cases with paired WGS in our series and will expand this analysis on a validation set of 263 NDMM and 93 RRMM cases from University-Hospital Heidelberg enrolled in the GMMG-HD6 clin

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Short-Term Effects of a Therapeutic Diet on Biochemical Parameters in Hemodialysis Patients: A Randomized Crossover Trial

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Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation 2023年第6期33卷 731-739页

作者： Wan-Chuan Tsai Shih-Ping Hsu Yen-Ling Chiu Hon-Yen Wu Chia-Chin Luan Ju-Yeh Yang Mei-Fen Pai Cheng-Jui Lin Wan-Yu Lin Wen-Huei Sun Yu-Sen Peng Division of Nephrology Department of Internal Medicine Far Eastern Memorial Hospital New Taipei City Taiwan Center for General Education Lee-Ming Institute of Technology New Taipei City Taiwan. School of Life Science National Taiwan Normal University Taipei City Taiwan. Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan. Institute of Epidemiology and Preventive Medicine College of Public Health National Taiwan University Taipei City Taiwan Faculty of Medicine School of Medicine National Yang-Ming University Taipei City Taiwan. Dietary Department Far Eastern Memorial Hospital New Taipei City Taiwan. Division of Nephrology Department of Internal Medicine Far Eastern Memorial Hospital New Taipei City Taiwan. Division of Nephrology Department of Internal Medicine Mackay Memorial Hospital Taipei City Taiwan Department of Medicine Mackay Medical College Taipei City Taiwan Mackay Junior College of Medicine Nursing and Management Taipei City Taiwan. Institute of Epidemiology and Preventive Medicine College of Public Health National Taiwan University Taipei City Taiwan. Dietary Department Far Eastern Memorial Hospital New Taipei City Taiwan. Electronic address: 830636231@mail.femh.org.tw. Department of Applied Cosmetology Lee-Ming Institute of Technology New Taipei City Taiwan Department of Electrical Engineering Yuan Ze University Taoyuan City Taiwan. Electronic address: taan70@***.

OBJECTIVE:Although unhealthy diets exacerbate nutritional and metabolic derangements in patients with end-stage kidney disease (ESKD), how therapeutic diets that possess a variety of different dietary strategies acutely modify diverse biochemical parameters related to cardiovascular disease remains underexplored. METHODS:Thirty-three adults with end-stage kidney disease undergoing thrice-weekly hemodialysis participated in a randomized crossover trial comparing a therapeutic diet with their usual diets for 7 days, separated by a 4-week washout period. The therapeutic diet was characterized by adequate calorie and protein amounts, natural food ingredients with a low phosphorus-to-protein ratio, higher portions of plant-based food, and high fiber content. The primary outcome measure was the mean difference in the change-from-baseline intact fibroblast growth factor 23 (FGF23) level between the 2 diets. The other outcomes of interest included changes in mineral parameters, uremic toxins, and high-sensitivity C-reactive protein (hs-CRP) levels. RESULTS:Compared with the usual diet, the therapeutic diet lowered intact FGF23 levels (P = .001), decreased serum phosphate levels (P < .001), reduced intact parathyroid hormone (PTH) levels (P = .003), lowered C-terminal FGF23 levels (P = .03), increased serum calcium levels (P = .01), and tended to lower total indoxyl sulfate levels (P = .07) but had no significant effect on hs-CRP levels. Among these changes, reduction in serum phosphate level achieved in 2 days, modifications of intact PTH and calcium levels in 5 days, and reductions in intact and C-terminal FGF23 levels in 7 days of therapeutic diet intervention. CONCLUSION:Within the 1-week intervention period, the dialysis-specific therapeutic diet rapidly reversed mineral abnormalities and tended to decrease total indoxyl sulfate levels in patients undergoing hemodialysis but had no effect on inflammation. Future studies to assess the long-term effects of such therapeuti

关键词： FGF23 dialysis inflammation therapeutic diet uremic toxin

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