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Showing 313 to 322 of 322 entries
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Factors Associated With Relapse and Treatment of Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease in the United Kingdom.

JAMA network open

Satukijchai C, Mariano R, Messina S, Sa M, Woodhall MR, Robertson NP, Ming L, Wassmer E, Kneen R, Huda S, Jacob A, Blain C, Halfpenny C, Hemingway C, O'Sullivan E, Hobart J, Fisniku LK, Martin R, Dopson R, Cooper SA, Williams V, Waters PJ, Ramdas S, Leite MI, Palace J.
PMID: 35006246
JAMA Netw Open. 2022 Jan 04;5(1):e2142780. doi: 10.1001/jamanetworkopen.2021.42780.

IMPORTANCE: Longer-term outcomes and risk factors associated with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) are not well established.OBJECTIVE: To investigate longer-term risk of relapse and factors associated with this risk among patients with MOGAD.DESIGN, SETTING, AND PARTICIPANTS: This large,...

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Satukijchai C, Mariano R, Messina S, et al. Factors Associated With Relapse and Treatment of Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease in the United Kingdom. JAMA Netw Open. 2022;5(1):e2142780doi: 10.1001/jamanetworkopen.2021.42780.
Satukijchai, C., Mariano, R., Messina, S., Sa, M., Woodhall, M. R., Robertson, N. P., Ming, L., Wassmer, E., Kneen, R., Huda, S., Jacob, A., Blain, C., Halfpenny, C., Hemingway, C., O'Sullivan, E., Hobart, J., Fisniku, L. K., Martin, R., Dopson, R., Cooper, S. A., Williams, V., Waters, P. J., Ramdas, S., Leite, M. I., & Palace, J. (2022). Factors Associated With Relapse and Treatment of Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease in the United Kingdom. JAMA network open, 5(1), e2142780. https://doi.org/10.1001/jamanetworkopen.2021.42780
Satukijchai, Chanjira, et al. "Factors Associated With Relapse and Treatment of Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease in the United Kingdom." JAMA network open vol. 5,1 (2022): e2142780. doi: https://doi.org/10.1001/jamanetworkopen.2021.42780
Satukijchai C, Mariano R, Messina S, Sa M, Woodhall MR, Robertson NP, Ming L, Wassmer E, Kneen R, Huda S, Jacob A, Blain C, Halfpenny C, Hemingway C, O'Sullivan E, Hobart J, Fisniku LK, Martin R, Dopson R, Cooper SA, Williams V, Waters PJ, Ramdas S, Leite MI, Palace J. Factors Associated With Relapse and Treatment of Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease in the United Kingdom. JAMA Netw Open. 2022 Jan 04;5(1):e2142780. doi: 10.1001/jamanetworkopen.2021.42780. PMID: 35006246.
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Inborn errors of TLR3- or MDA5-dependent type I IFN immunity in children with enterovirus rhombencephalitis.

The Journal of experimental medicine

Chen J, Jing H, Martin-Nalda A, Bastard P, Rivière JG, Liu Z, Colobran R, Lee D, Tung W, Manry J, Hasek M, Boucherit S, Lorenzo L, Rozenberg F, Aubart M, Abel L, Su HC, Soler Palacin P, Casanova JL, Zhang SY.
PMID: 34726731
J Exp Med. 2021 Dec 06;218(12). doi: 10.1084/jem.20211349. Epub 2021 Nov 02.

Enterovirus (EV) infection rarely results in life-threatening infection of the central nervous system. We report two unrelated children with EV30 and EV71 rhombencephalitis. One patient carries compound heterozygous TLR3 variants (loss-of-function F322fs2* and hypomorphic D280N), and the other is...

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Chen J, Jing H, Martin-Nalda A, et al. Inborn errors of TLR3- or MDA5-dependent type I IFN immunity in children with enterovirus rhombencephalitis. J Exp Med. 2021;218(12)doi: 10.1084/jem.20211349.
Chen, J., Jing, H., Martin-Nalda, A., Bastard, P., Rivière, J. G., Liu, Z., Colobran, R., Lee, D., Tung, W., Manry, J., Hasek, M., Boucherit, S., Lorenzo, L., Rozenberg, F., Aubart, M., Abel, L., Su, H. C., Soler Palacin, P., Casanova, J. L., & Zhang, S. Y. (2021). Inborn errors of TLR3- or MDA5-dependent type I IFN immunity in children with enterovirus rhombencephalitis. The Journal of experimental medicine, 218(12), . https://doi.org/10.1084/jem.20211349
Chen, Jie, et al. "Inborn errors of TLR3- or MDA5-dependent type I IFN immunity in children with enterovirus rhombencephalitis." The Journal of experimental medicine vol. 218,12 (2021). doi: https://doi.org/10.1084/jem.20211349
Chen J, Jing H, Martin-Nalda A, Bastard P, Rivière JG, Liu Z, Colobran R, Lee D, Tung W, Manry J, Hasek M, Boucherit S, Lorenzo L, Rozenberg F, Aubart M, Abel L, Su HC, Soler Palacin P, Casanova JL, Zhang SY. Inborn errors of TLR3- or MDA5-dependent type I IFN immunity in children with enterovirus rhombencephalitis. J Exp Med. 2021 Dec 06;218(12). doi: 10.1084/jem.20211349. Epub 2021 Nov 02. PMID: 34726731; PMCID: PMC8570298.
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Unraveling negative biotic interactions determining soil microbial community assembly and functioning.

The ISME journal

Romdhane S, Spor A, Aubert J, Bru D, Breuil MC, Hallin S, Mounier A, Ouadah S, Tsiknia M, Philippot L.
PMID: 34321619
ISME J. 2022 Jan;16(1):296-306. doi: 10.1038/s41396-021-01076-9. Epub 2021 Jul 28.

Microbial communities play important roles in all ecosystems and yet a comprehensive understanding of the ecological processes governing the assembly of these communities is missing. To address the role of biotic interactions between microorganisms in assembly and for functioning...

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Romdhane S, Spor A, Aubert J, et al. Unraveling negative biotic interactions determining soil microbial community assembly and functioning. ISME J. 2021;16(1):296-306doi: 10.1038/s41396-021-01076-9.
Romdhane, S., Spor, A., Aubert, J., Bru, D., Breuil, M. C., Hallin, S., Mounier, A., Ouadah, S., Tsiknia, M., & Philippot, L. (2022). Unraveling negative biotic interactions determining soil microbial community assembly and functioning. The ISME journal, 16(1), 296-306. https://doi.org/10.1038/s41396-021-01076-9
Romdhane, Sana, et al. "Unraveling negative biotic interactions determining soil microbial community assembly and functioning." The ISME journal vol. 16,1 (2022): 296-306. doi: https://doi.org/10.1038/s41396-021-01076-9
Romdhane S, Spor A, Aubert J, Bru D, Breuil MC, Hallin S, Mounier A, Ouadah S, Tsiknia M, Philippot L. Unraveling negative biotic interactions determining soil microbial community assembly and functioning. ISME J. 2022 Jan;16(1):296-306. doi: 10.1038/s41396-021-01076-9. Epub 2021 Jul 28. PMID: 34321619; PMCID: PMC8692615.
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Assessing deep learning methods for the identification of kidney stones in endoscopic images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Lopez F, Varelo A, Hinojosa O, Mendez M, Trinh DH, ElBeze Y, Hubert J, Estrade V, Gonzalez M, Ochoa G, Daul C.
PMID: 34891825
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2778-2781. doi: 10.1109/EMBC46164.2021.9630211.

Knowing the type (i.e., the biochemical composition) of kidney stones is crucial to prevent relapses with an appropriate treatment. During ureteroscopies, kidney stones are fragmented, extracted from the urinary tract, and their composition is determined using a morpho-constitutional analysis....

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Lopez F, Varelo A, Hinojosa O, et al. Assessing deep learning methods for the identification of kidney stones in endoscopic images. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:2778-2781doi: 10.1109/EMBC46164.2021.9630211.
Lopez, F., Varelo, A., Hinojosa, O., Mendez, M., Trinh, D. H., ElBeze, Y., Hubert, J., Estrade, V., Gonzalez, M., Ochoa, G., & Daul, C. (2021). Assessing deep learning methods for the identification of kidney stones in endoscopic images. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 20212778-2781. https://doi.org/10.1109/EMBC46164.2021.9630211
Lopez, Francisco, et al. "Assessing deep learning methods for the identification of kidney stones in endoscopic images." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2021 (2021): 2778-2781. doi: https://doi.org/10.1109/EMBC46164.2021.9630211
Lopez F, Varelo A, Hinojosa O, Mendez M, Trinh DH, ElBeze Y, Hubert J, Estrade V, Gonzalez M, Ochoa G, Daul C. Assessing deep learning methods for the identification of kidney stones in endoscopic images. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2778-2781. doi: 10.1109/EMBC46164.2021.9630211. PMID: 34891825.
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Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study.

Multiple sclerosis and related disorders

Smets I, Holden D, Bianchi L, Ammoscato F, Allen-Philbey K, Baker D, Turner B, Marta M, Giovannoni G, Macdougall A, Schmierer K, Hobart J, Gnanapavan S.
PMID: 34871856
Mult Scler Relat Disord. 2021 Nov 22;57:103409. doi: 10.1016/j.msard.2021.103409. Epub 2021 Nov 22.

BACKGROUND: In multiple sclerosis (MS) neurofilament light chain (NfL) is a marker of neuronal damage secondary to inflammation and neurodegeneration. NfL levels drop after commencement of disease-modifying treatment, especially the highly active ones. However, the factors that influence this...

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Smets I, Holden D, Bianchi L, et al. Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study. Mult Scler Relat Disord. 2021;57:103409doi: 10.1016/j.msard.2021.103409.
Smets, I., Holden, D., Bianchi, L., Ammoscato, F., Allen-Philbey, K., Baker, D., Turner, B., Marta, M., Giovannoni, G., Macdougall, A., Schmierer, K., Hobart, J., & Gnanapavan, S. (2021). Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study. Multiple sclerosis and related disorders, 57103409. https://doi.org/10.1016/j.msard.2021.103409
Smets, Ide, et al. "Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study." Multiple sclerosis and related disorders vol. 57 (2021): 103409. doi: https://doi.org/10.1016/j.msard.2021.103409
Smets I, Holden D, Bianchi L, Ammoscato F, Allen-Philbey K, Baker D, Turner B, Marta M, Giovannoni G, Macdougall A, Schmierer K, Hobart J, Gnanapavan S. Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study. Mult Scler Relat Disord. 2021 Nov 22;57:103409. doi: 10.1016/j.msard.2021.103409. Epub 2021 Nov 22. PMID: 34871856.
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Predictive factors for vaccine failure to guide vaccination in allogeneic hematopoietic stem cell transplant recipients.

Bone marrow transplantation

Janssen MJM, Bruns AHW, Verduyn Lunel FM, Raijmakers RAP, de Weijer RJ, Nanlohy NM, Smits GP, van Baarle D, Kuball J.
PMID: 34417568
Bone Marrow Transplant. 2021 Dec;56(12):2922-2928. doi: 10.1038/s41409-021-01437-0. Epub 2021 Aug 20.

Vaccination after hematopoietic stem cell transplantation (HSCT) is essential to protect high-risk patients against potentially lethal infections. Though multiple studies have evaluated vaccine specific responses, no comprehensive analysis of a complete vaccination schedule post-HSCT has been performed and little...

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Janssen MJM, Bruns AHW, Verduyn Lunel FM, et al. Predictive factors for vaccine failure to guide vaccination in allogeneic hematopoietic stem cell transplant recipients. Bone Marrow Transplant. 2021;56(12):2922-2928doi: 10.1038/s41409-021-01437-0.
Janssen, M. J. M., Bruns, A. H. W., Verduyn Lunel, F. M., Raijmakers, R. A. P., de Weijer, R. J., Nanlohy, N. M., Smits, G. P., van Baarle, D., & Kuball, J. (2021). Predictive factors for vaccine failure to guide vaccination in allogeneic hematopoietic stem cell transplant recipients. Bone marrow transplantation, 56(12), 2922-2928. https://doi.org/10.1038/s41409-021-01437-0
Janssen, Michelle J M, et al. "Predictive factors for vaccine failure to guide vaccination in allogeneic hematopoietic stem cell transplant recipients." Bone marrow transplantation vol. 56,12 (2021): 2922-2928. doi: https://doi.org/10.1038/s41409-021-01437-0
Janssen MJM, Bruns AHW, Verduyn Lunel FM, Raijmakers RAP, de Weijer RJ, Nanlohy NM, Smits GP, van Baarle D, Kuball J. Predictive factors for vaccine failure to guide vaccination in allogeneic hematopoietic stem cell transplant recipients. Bone Marrow Transplant. 2021 Dec;56(12):2922-2928. doi: 10.1038/s41409-021-01437-0. Epub 2021 Aug 20. PMID: 34417568.
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An Overview of Cell-Based Assay Platforms for the Solute Carrier Family of Transporters.

Frontiers in pharmacology

Dvorak V, Wiedmer T, Ingles-Prieto A, Altermatt P, Batoulis H, Bärenz F, Bender E, Digles D, Dürrenberger F, Heitman LH, IJzerman AP, Kell DB, Kickinger S, Körzö D, Leippe P, Licher T, Manolova V, Rizzetto R, Sassone F, Scarabottolo L, Schlessinger A, Schneider V, Sijben HJ, Steck AL, Sundström H, Tremolada S, Wilhelm M, Wright Muelas M, Zindel D, Steppan CM, Superti-Furga G.
PMID: 34447313
Front Pharmacol. 2021 Aug 10;12:722889. doi: 10.3389/fphar.2021.722889. eCollection 2021.

The solute carrier (SLC) superfamily represents the biggest family of transporters with important roles in health and disease. Despite being attractive and druggable targets, the majority of SLCs remains understudied. One major hurdle in research on SLCs is the...

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Dvorak V, Wiedmer T, Ingles-Prieto A, et al. An Overview of Cell-Based Assay Platforms for the Solute Carrier Family of Transporters. Front Pharmacol. 2021;12:722889doi: 10.3389/fphar.2021.722889.
Dvorak, V., Wiedmer, T., Ingles-Prieto, A., Altermatt, P., Batoulis, H., Bärenz, F., Bender, E., Digles, D., Dürrenberger, F., Heitman, L. H., IJzerman, A. P., Kell, D. B., Kickinger, S., Körzö, D., Leippe, P., Licher, T., Manolova, V., Rizzetto, R., Sassone, F., Scarabottolo, L., Schlessinger, A., Schneider, V., Sijben, H. J., Steck, A. L., Sundström, H., Tremolada, S., Wilhelm, M., Wright Muelas, M., Zindel, D., Steppan, C. M., & Superti-Furga, G. (2021). An Overview of Cell-Based Assay Platforms for the Solute Carrier Family of Transporters. Frontiers in pharmacology, 12722889. https://doi.org/10.3389/fphar.2021.722889
Dvorak, Vojtech, et al. "An Overview of Cell-Based Assay Platforms for the Solute Carrier Family of Transporters." Frontiers in pharmacology vol. 12 (2021): 722889. doi: https://doi.org/10.3389/fphar.2021.722889
Dvorak V, Wiedmer T, Ingles-Prieto A, Altermatt P, Batoulis H, Bärenz F, Bender E, Digles D, Dürrenberger F, Heitman LH, IJzerman AP, Kell DB, Kickinger S, Körzö D, Leippe P, Licher T, Manolova V, Rizzetto R, Sassone F, Scarabottolo L, Schlessinger A, Schneider V, Sijben HJ, Steck AL, Sundström H, Tremolada S, Wilhelm M, Wright Muelas M, Zindel D, Steppan CM, Superti-Furga G. An Overview of Cell-Based Assay Platforms for the Solute Carrier Family of Transporters. Front Pharmacol. 2021 Aug 10;12:722889. doi: 10.3389/fphar.2021.722889. eCollection 2021. PMID: 34447313; PMCID: PMC8383457.
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Costal Cartilage Calcification: Prevalence, Amount, and Structural Pattern in the General Population and Its Association with Age: A Cadaveric Study.

Facial plastic surgery & aesthetic medicine

Hawellek T, Beil FT, Hischke S, Saul D, Hoffmann DB, Kleiss S, Rolvien T, Ries C, Püschel K, Frosch S, Hubert J.
PMID: 34609907
Facial Plast Surg Aesthet Med. 2021 Oct 04; doi: 10.1089/fpsam.2021.0063. Epub 2021 Oct 04.

No abstract available.

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Hawellek T, Beil FT, Hischke S, et al. Costal Cartilage Calcification: Prevalence, Amount, and Structural Pattern in the General Population and Its Association with Age: A Cadaveric Study. Facial Plast Surg Aesthet Med. 2021;doi: 10.1089/fpsam.2021.0063.
Hawellek, T., Beil, F. T., Hischke, S., Saul, D., Hoffmann, D. B., Kleiss, S., Rolvien, T., Ries, C., Püschel, K., Frosch, S., & Hubert, J. (2021). Costal Cartilage Calcification: Prevalence, Amount, and Structural Pattern in the General Population and Its Association with Age: A Cadaveric Study. Facial plastic surgery & aesthetic medicine, . https://doi.org/10.1089/fpsam.2021.0063
Hawellek, Thelonius, et al. "Costal Cartilage Calcification: Prevalence, Amount, and Structural Pattern in the General Population and Its Association with Age: A Cadaveric Study." Facial plastic surgery & aesthetic medicine vol. (2021). doi: https://doi.org/10.1089/fpsam.2021.0063
Hawellek T, Beil FT, Hischke S, Saul D, Hoffmann DB, Kleiss S, Rolvien T, Ries C, Püschel K, Frosch S, Hubert J. Costal Cartilage Calcification: Prevalence, Amount, and Structural Pattern in the General Population and Its Association with Age: A Cadaveric Study. Facial Plast Surg Aesthet Med. 2021 Oct 04; doi: 10.1089/fpsam.2021.0063. Epub 2021 Oct 04. PMID: 34609907.
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Association Between Vitamin D and Novel SARS-CoV-2 Respiratory Dysfunction - A Scoping Review of Current Evidence and Its Implication for COVID-19 Pandemic.

Frontiers in physiology

Santaolalla A, Beckmann K, Kibaru J, Josephs D, Van Hemelrijck M, Irshad S.
PMID: 33324234
Front Physiol. 2020 Nov 26;11:564387. doi: 10.3389/fphys.2020.564387. eCollection 2020.

OBJECTIVES: To assess the association between vitamin D deficiency and increased morbidity/mortality with COVID-19 respiratory dysfunction.DESIGN: Scoping review.DATA SOURCES: Ovid MEDLINE (1946 to 24 of April 2020) and PubMed (2020 to 17 of September 2020).ELIGIBILITY CRITERIA FOR SELECTING STUDIES:...

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Santaolalla A, Beckmann K, Kibaru J, et al. Association Between Vitamin D and Novel SARS-CoV-2 Respiratory Dysfunction - A Scoping Review of Current Evidence and Its Implication for COVID-19 Pandemic. Front Physiol. 2020;11:564387doi: 10.3389/fphys.2020.564387.
Santaolalla, A., Beckmann, K., Kibaru, J., Josephs, D., Van Hemelrijck, M., & Irshad, S. (2020). Association Between Vitamin D and Novel SARS-CoV-2 Respiratory Dysfunction - A Scoping Review of Current Evidence and Its Implication for COVID-19 Pandemic. Frontiers in physiology, 11564387. https://doi.org/10.3389/fphys.2020.564387
Santaolalla, Aida, et al. "Association Between Vitamin D and Novel SARS-CoV-2 Respiratory Dysfunction - A Scoping Review of Current Evidence and Its Implication for COVID-19 Pandemic." Frontiers in physiology vol. 11 (2020): 564387. doi: https://doi.org/10.3389/fphys.2020.564387
Santaolalla A, Beckmann K, Kibaru J, Josephs D, Van Hemelrijck M, Irshad S. Association Between Vitamin D and Novel SARS-CoV-2 Respiratory Dysfunction - A Scoping Review of Current Evidence and Its Implication for COVID-19 Pandemic. Front Physiol. 2020 Nov 26;11:564387. doi: 10.3389/fphys.2020.564387. eCollection 2020. PMID: 33324234; PMCID: PMC7726316.
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Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study.

Multiple sclerosis and related disorders

Smets I, Holden D, Bianchi L, Ammoscato F, Allen-Philbey K, Baker D, Turner B, Marta M, Giovannoni G, Macdougall A, Schmierer K, Hobart J, Gnanapavan S.
PMID: 34871856
Mult Scler Relat Disord. 2021 Nov 22;57:103409. doi: 10.1016/j.msard.2021.103409. Epub 2021 Nov 22.

BACKGROUND: In multiple sclerosis (MS) neurofilament light chain (NfL) is a marker of neuronal damage secondary to inflammation and neurodegeneration. NfL levels drop after commencement of disease-modifying treatment, especially the highly active ones. However, the factors that influence this...

Cite
Smets I, Holden D, Bianchi L, et al. Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study. Mult Scler Relat Disord. 2021;57:103409doi: 10.1016/j.msard.2021.103409.
Smets, I., Holden, D., Bianchi, L., Ammoscato, F., Allen-Philbey, K., Baker, D., Turner, B., Marta, M., Giovannoni, G., Macdougall, A., Schmierer, K., Hobart, J., & Gnanapavan, S. (2021). Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study. Multiple sclerosis and related disorders, 57103409. https://doi.org/10.1016/j.msard.2021.103409
Smets, Ide, et al. "Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study." Multiple sclerosis and related disorders vol. 57 (2021): 103409. doi: https://doi.org/10.1016/j.msard.2021.103409
Smets I, Holden D, Bianchi L, Ammoscato F, Allen-Philbey K, Baker D, Turner B, Marta M, Giovannoni G, Macdougall A, Schmierer K, Hobart J, Gnanapavan S. Factors contributing to CSF NfL reduction over time in those starting treatment for multiple sclerosis: An observational study. Mult Scler Relat Disord. 2021 Nov 22;57:103409. doi: 10.1016/j.msard.2021.103409. Epub 2021 Nov 22. PMID: 34871856.
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Showing 313 to 322 of 322 entries