cf - PMC - NCBI

Donovan A. McGrowder, Fabian Miller, Kurt Vaz, Chukwuemeka Nwokocha, Cameil Wilson-Clarke, Melisa Anderson-Cross, Jabari Brown, Lennox Anderson-Jackson, Lowen Williams, Lyndon Latore, Rory Thompson, Ruby Alexander-Lindo

Brain Sci. 2021 Feb; 11(2): 215. Published online 2021 Feb 10. doi: 10.3390/brainsci11020215

PMCID:: PMC7916561

Abstract Article PDF–2.1M

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Regulation of brain fluid volumes and pressures: basic principles, intracranial hypertension, ventriculomegaly and hydrocephalus

Stephen B. Hladky, Margery A. Barrand

Fluids Barriers CNS. 2024; 21: 57. Published online 2024 Jul 17. doi: 10.1186/s12987-024-00532-w

PMCID:: PMC11253534

Abstract Article PDF–3.5M

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Rapid pathogen identification using a novel microarray-based assay with purulent meningitis in cerebrospinal fluid

Yuting Hou, Xu Zhang, Xiaolin Hou, Ruofen Wu, Yanbai Wang, Xuexian He, Libin Wang, Zhenhai Wang

Sci Rep. 2018; 8: 15965. Published online 2018 Oct 29. doi: 10.1038/s41598-018-34051-0

PMCID:: PMC6206030

Abstract Article PDF–3.1M

Select item 111748916.

Advancements in Cerebrospinal Fluid Biosensors: Bridging the Gap from Early Diagnosis to the Detection of Rare Diseases

Ghazal Hatami-Fard, Salzitsa Anastasova-Ivanova

Sensors (Basel) 2024 Jun; 24(11): 3294. Published online 2024 May 22. doi: 10.3390/s24113294

PMCID:: PMC11174891

Abstract Article PDF–1.5M

Select item 114794307.

Higher erythrocytes in cerebrospinal fluid on the first and seventh postoperative day: Associated with poor outcome in aneurysmal subarachnoid hemorrhage patients

Jie Min, Yongfeng Zhao, Xian Wang, Jian Zhao

Medicine (Baltimore) 2024 Oct 11; 103(41): e40027. Published online 2024 Oct 11. doi: 10.1097/MD.0000000000040027

PMCID:: PMC11479430

Abstract Article PDF–654K

Select item 97533058.

Measurements of cerebrospinal fluid production: a review of the limitations and advantages of current methodologies

Guojun Liu, Antonio Ladrón-de-Guevara, Yara Izhiman, Maiken Nedergaard, Ting Du

Fluids Barriers CNS. 2022; 19: 101. Published online 2022 Dec 15. doi: 10.1186/s12987-022-00382-4

PMCID:: PMC9753305

Abstract Article PDF–3.2M

Select item 94065679.

Basic Analysis of the Cerebrospinal Fluid: An Important Framework for Laboratory Diagnostics of the Impairment of the Central Nervous System

Petr Kelbich, Karel Hrach, Jan Spicka, Petr Vachata, Tomas Radovnicky, Eva Hanuljakova, Jan Krejsek

Curr Issues Mol Biol. 2022 Aug; 44(8): 3666–3680. Published online 2022 Aug 14. doi: 10.3390/cimb44080251

PMCID:: PMC9406567

Abstract Article PDF–1.6M

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Zika-exposed microcephalic neonates exhibit higher degree of inflammatory imbalance in cerebrospinal fluid

Gustavo C. Nascimento-Carvalho, Eduardo C. Nascimento-Carvalho, Clara L. Ramos, Ana-Luisa Vilas-Boas, Otávio A. Moreno-Carvalho, Caian L. Vinhaes, Beatriz Barreto-Duarte, Artur T. L. Queiroz, Bruno B. Andrade, Cristiana M. Nascimento-Carvalho

Sci Rep. 2021; 11: 8474. Published online 2021 Apr 19. doi: 10.1038/s41598-021-87895-4

PMCID:: PMC8055905

Abstract Article PDF–2.3M

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Cerebrospinal fluid outflow: a review of the historical and contemporary evidence for arachnoid villi, perineural routes, and dural lymphatics

Steven T. Proulx

Cell Mol Life Sci. 2021 Mar; 78(6): 2429–2457. Published online 2021 Jan 11. doi: 10.1007/s00018-020-03706-5

PMCID:: PMC8004496

Abstract Article PDF–3.5M

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Recommendations for reproducibility of cerebrospinal fluid extracellular vesicle studies

Ursula S. Sandau, Setty M. Magaña, Júlia Costa, John P. Nolan, Tsuneya Ikezu, Laura J. Vella, Hannah K. Jackson, Lissette Retana Moreira, Paola Loreto Palacio, Andrew F. Hill, Joseph F. Quinn, Kendall R. Van Keuren‐Jensen, Trevor J. McFarland, Joanna Palade, Eric A. Sribnick, Huaqi Su, Kostas Vekrellis, Beth Coyle, You Yang, Juan M. Falcón‐Perez, Rienk Nieuwland, Julie A. Saugstad, International Society for Extracellular Vesicles Cerebrospinal Fluid Task Force

J Extracell Vesicles. 2024 Jan; 13(1): 12397. Published online 2023 Dec 29. doi: 10.1002/jev2.12397

Correction in:: J Extracell Vesicles. 2024 Jan; 13(1): 12405.

PMCID:: PMC10756860

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CEREBROSPINAL FLUID STASIS AND ITS CLINICAL SIGNIFICANCE

James M. Whedon, Donald Glassey

Altern Ther Health Med. Author manuscript; available in PMC 2010 Mar 19.

Published in final edited form as: Altern Ther Health Med. 2009 May–Jun; 15(3): 54–60.

PMCID:: PMC2842089

Abstract Article PDF–51K

Select item 806578214.

Development of the Cerebrospinal Fluid in Early Stage after Hemorrhage in the Central Nervous System

Petr Kelbich, Aleš Hejčl, Jan Krejsek, Tomáš Radovnický, Inka Matuchová, Jan Lodin, Jan Špička, Martin Sameš, Jan Procházka, Eva Hanuljaková, Petr Vachata

Life (Basel) 2021 Apr; 11(4): 300. Published online 2021 Apr 1. doi: 10.3390/life11040300

PMCID:: PMC8065782

Abstract Article PDF–2.6M

Select item 1058801415.

The value of elevated cerebrospinal fluid lactate concentrations in post-neurosurgical bacterial meningitis

Qin Wang, YongFang Wang, Yan Yang, YanXi Kong, Yuan Peng

BMC Neurol. 2023; 23: 377. Published online 2023 Oct 20. doi: 10.1186/s12883-023-03428-8

PMCID:: PMC10588014

Abstract Article PDF–1003K

Select item 921766516.

Lumbar Stenosis Spinal Surgery-Associated Cerebrospinal Fluid Leak Without Headache: An Autobiographical Case Report

Philip R Cohen, Stephen M Dorros

Cureus. 2022 May; 14(5): e25253. Published online 2022 May 23. doi: 10.7759/cureus.25253

PMCID:: PMC9217665

Abstract Article PDF–940K

Select item 591632417.

Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry

Piotr Lewczuk, Peter Riederer, Sid E. O’Bryant, Marcel M. Verbeek, Bruno Dubois, Pieter Jelle Visser, Kurt A. Jellinger, Sebastiaan Engelborghs, Alfredo Ramirez, Lucilla Parnetti, Clifford R. Jack, Jr, Charlotte E. Teunissen, Harald Hampel, Alberto Lleó, Frank Jessen, Lidia Glodzik, Mony J. de Leon, Anne M. Fagan, José Luis Molinuevo, Willemijn J. Jansen, Bengt Winblad, Leslie M. Shaw, Ulf Andreasson, Markus Otto, Brit Mollenhauer, Jens Wiltfang, Martin R. Turner, Inga Zerr, Ron Handels, Alexander G. Thompson, Gunilla Johansson, Natalia Ermann, John Q. Trojanowski, Ilker Karaca, Holger Wagner, Patrick Oeckl, Linda van Waalwijk van Doorn, Maria Bjerke, Dimitrios Kapogiannis, H. Bea Kuiperij, Lucia Farotti, Yi Li, Brian A. Gordon, Stéphane Epelbaum, Stephanie J. B. Vos, Catharina J. M. Klijn, William E. Van Nostrand, Carolina Minguillon, Matthias Schmitz, Carla Gallo, Andrea Lopez Mato, Florence Thibaut, Simone Lista, Daniel Alcolea, Henrik Zetterberg, Kaj Blennow, Johannes Kornhuber, Peter Riederer, Carla Gallo, Dimitrios Kapogiannis, Andrea Lopez Mato, Florence Thibaut

World J Biol Psychiatry. Author manuscript; available in PMC 2019 Jun 1.

Published in final edited form as: World J Biol Psychiatry. 2018 Jun; 19(4): 244–328. Published online 2017 Oct 27. doi: 10.1080/15622975.2017.1375556

PMCID:: PMC5916324

Abstract Article PDF–1.8M

Select item 870626418.

Neopterin and CXCL-10 in Cerebrospinal Fluid as Potential Biomarkers of Neuroinvasive Dengue and Chikungunya

Marzia Puccioni-Sohler, Samya J. da Silva, Luiz C. S. Faria, David C. B. I. Cabral, Mauro J. Cabral-Castro

Pathogens. 2021 Dec; 10(12): 1626. Published online 2021 Dec 15. doi: 10.3390/pathogens10121626

PMCID:: PMC8706264

Abstract Article PDF–1.0M

Select item 760095719.

Can Aspartate Aminotransferase in the Cerebrospinal Fluid Be a Reliable Predictive Parameter?

Petr Kelbich, Tomáš Radovnický, Iva Selke-Krulichová, Jan Lodin, Inka Matuchová, Martin Sameš, Jan Procházka, Jan Krejsek, Eva Hanuljaková, Aleš Hejčl

Brain Sci. 2020 Oct; 10(10): 698. Published online 2020 Oct 1. doi: 10.3390/brainsci10100698

PMCID:: PMC7600957

Abstract Article PDF–505K

Select item 1081100920.

Deciphering the impact of cerebrospinal fluid on stem cell fate as a new mechanism to enhance clinical therapy development

Klaudia Radoszkiewicz, Aleksandra Bzinkowska, Magdalena Chodkowska, Paulina Rybkowska, Monika Sypecka, Ilona Zembrzuska-Kaska, Anna Sarnowska

Front Neurosci. 2023; 17: 1332751. Published online 2024 Jan 12. doi: 10.3389/fnins.2023.1332751

PMCID:: PMC10811009

Abstract Article PDF–849K

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Figure 1:CF global metabolomics profiles are altered by SHSe.

A) Synchronized 3D sPLS-DA plots of overall plasma metabolomics profiles. Red dots represent individual non-CF controls, green dots represent CF patients without SHSe, and blue dots represent CF patients with SHSe. B) Synchronized 3D sPLS-DA plots of overall CF plasma metabolomics profiles stratified by age and SHSe. Red dots represent individual CF children without SHSe, dark blue dots represent CF children with SHSe, green dots represent CF infants without SHSe, and light blue dots represent CF infants with SHSe. The top 3 components are presented on the X, Y and Z axes for comparisons in 1A and 1B. C) 2D sPLS-DA plot of overall metabolomics profiles for comparison of CF infants with and without SHSe. CF infants with SHSe are shown in green, and CF infants without SHSe are shown in red. D) 2D sPLS-DA plot of overall metabolomics profiles for comparison of CF children with and without SHSe. CF children with SHSe are shown in green, and CF children without SHSe are shown in red. The top 2 components are presented on the X and Y axes for comparisons in 1C and 1D.

Metabolomics profiling of tobacco exposure in children with cystic fibrosis

J Cyst Fibros. ;19(5):791-800.
Fig 2Unweighted UniFrac PCoA plot of healthy and CF microbiota.

Distance comparisons were made for microbiota of: (a) Uninfected control (NIC) and CF baseline, (b) NIC and Exacerbated CF, (c) NIC and After Treatment of Exacerbated CF, (d) NIC and On Treatment of Exacerbated CF, (e) NIC and Before Treatment of Exacerbated CF, (f) CF baseline and Exacerbated CF, (g) Before, During and After Treatment of Exacerbated CF, (h) CF baseline and Before, During, After Treatment of Exacerbated CF. Each point represents a sample from the studies listed in . The color for each sample group can be found on the figure.

Data Mining of Lung Microbiota in Cystic Fibrosis Patients

PLoS One. 2016;11(10):e0164510.
FIGURE 1

Collection sites and hydrographic basin of occurrence of Leporinus cf. friderici. Colored circles represent the MOTUs found in this study: L. agassizii (red), L. cf. friderici Amazon 1 (orange), L. cf. friderici Madeira 1 (purple), L. cf. friderici Paraná (light green), L. cf. friderici Paraguay (dark green), L. piau São Francisco (dark blue), L. cf. friderici Upper Tapajós (yellow), and L. cf. friderici Tocantins 1 (light blue). Black dot represents individuals collected as L. cf. friderici Amazon 2; black star represents L. cf. friderici Mearim; black square represents L. cf. friderici Tocantins 2; black polygon represents L. cf. friderici Madeira 2; black triangle represents L. cf. friderici Xingú. A, Prior Sete Quedas waterfalls region and Itaipú dam. B, Teotônio falls in the Madeira River. Map created by Q-GIS (http://www.qgis.org/). The collection site numbers are according to Supplementary Table .

Molecular Evidences of a Hidden Complex Scenario in Leporinus cf. friderici

Front Genet. 2018;9:47.
Fig. 6Textile weaving of a plain multi-colored CF fabric on the weaving machine using multi-colored CF yarns.

a Multi-colored CF yarns prepared using the one-step HTC of glucose. b Photograph of a multi-colored CF yarn. c Schematic illustration of the production process of colored CF fabric from multi-colored CF yarn. d Weaving process of preparing colored CF fabric. e Photograph of a package of multi-colored CF yarn. f Photograph of the weaving machine. g Photograph for the weaving process of the multi-colored CF fabric. h A piece of 15 × 15 cm² plain weave fabric formed by industrial weaving machines.

Color construction of multi-colored carbon fibers using glucose

Nat Commun. 2024;15:1979.