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For: Sasaki C, Hiraishi T, Oku T, Okuma K, Suzumura K, Hashimoto M, Ito H, Aramori I, Hirayama Y. Metabolomic approach to the exploration of biomarkers associated with disease activity in rheumatoid arthritis. PLoS One 2019;14:e0219400. [PMID: 31295280 DOI: 10.1371/journal.pone.0219400] [Cited by in Crossref: 19] [Cited by in F6Publishing: 25] [Article Influence: 6.3] [Reference Citation Analysis]
Number Citing Articles
1 Chokesuwattanaskul S, Fresneda Alarcon M, Mangalakumaran S, Grosman R, Cross AL, Chapman EA, Mason D, Moots RJ, Phelan MM, Wright HL. Metabolic Profiling of Rheumatoid Arthritis Neutrophils Reveals Altered Energy Metabolism That Is Not Affected by JAK Inhibition. Metabolites 2022;12:650. [PMID: 35888774 DOI: 10.3390/metabo12070650] [Reference Citation Analysis]
2 Li L, Freitag J, Asbrand C, Munteanu B, Wang BT, Zezina E, Didier M, Thill G, Rocher C, Herrmann M, Biesemann N. Multi-omics profiling of collagen-induced arthritis mouse model reveals early metabolic dysregulation via SIRT1 axis. Sci Rep 2022;12:11830. [PMID: 35821263 DOI: 10.1038/s41598-022-16005-9] [Reference Citation Analysis]
3 Dorochow E, Köhm M, Hahnefeld L, Gurke R. Metabolic Profiling in Rheumatoid Arthritis, Psoriatic Arthritis, and Psoriasis: Elucidating Pathogenesis, Improving Diagnosis, and Monitoring Disease Activity. JPM 2022;12:924. [DOI: 10.3390/jpm12060924] [Reference Citation Analysis]
4 Bartikoski BJ, De Oliveira MS, Do Espírito Santo RC, Dos Santos LP, Dos Santos NG, Xavier RM. A Review of Metabolomic Profiling in Rheumatoid Arthritis: Bringing New Insights in Disease Pathogenesis, Treatment and Comorbidities. Metabolites 2022;12:394. [DOI: 10.3390/metabo12050394] [Reference Citation Analysis]
5 Lewis KA, Osier N, Carrasco R, Chiou J, Carter P, Garcia A, Flowers E, Gennatas ED, Nguyen C, Rana A, Brown SA, Tiziani S. Serine, N-acetylaspartate differentiate adolescents with juvenile idiopathic arthritis compared with healthy controls: a metabolomics cross-sectional study. Pediatr Rheumatol Online J 2022;20:12. [PMID: 35144633 DOI: 10.1186/s12969-022-00672-z] [Reference Citation Analysis]
6 Duarte-delgado NP, Cala MP, Barreto A, Rodríguez C L. Metabolites and metabolic pathways associated with rheumatoid arthritis and systemic lupus erythematosus. Journal of Translational Autoimmunity 2022. [DOI: 10.1016/j.jtauto.2022.100150] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Luan H, Gu W, Li H, Wang Z, Lu L, Ke M, Lu J, Chen W, Lan Z, Xiao Y, Xu J, Zhang Y, Cai Z, Liu S, Zhang W. Serum metabolomic and lipidomic profiling identifies diagnostic biomarkers for seropositive and seronegative rheumatoid arthritis patients. J Transl Med 2021;19:500. [PMID: 34876179 DOI: 10.1186/s12967-021-03169-7] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
8 Helena H, Ivona V, Roman Ř, František F. Current applications of capillary electrophoresis-mass spectrometry for the analysis of biologically important analytes in urine (2017 to mid-2021): A review. J Sep Sci 2022;45:305-24. [PMID: 34538010 DOI: 10.1002/jssc.202100621] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
9 Alabarse PVG, Silva JMS, Santo RCE, Oliveira MS, Almeida AS, de Oliveira MS, Immig ML, Freitas EC, Teixeira VON, Bathurst CL, Brenol CV, Filippin LI, Young SP, Lora PS, Xavier RM. Metabolomic Biomarker Candidates for Skeletal Muscle Loss in the Collagen-Induced Arthritis (CIA) Model. J Pers Med 2021;11:837. [PMID: 34575614 DOI: 10.3390/jpm11090837] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Jeevanandam V, Osborne J. Understanding the fundamentals of microbial remediation with emphasize on metabolomics. Prep Biochem Biotechnol 2021;:1-13. [PMID: 34338137 DOI: 10.1080/10826068.2021.1946694] [Reference Citation Analysis]
11 Bhagavatham SKS, Khanchandani P, Kannan V, Potikuri D, Sridharan D, Pulukool SK, Naik AA, Dandamudi RB, Divi SM, Pargaonkar A, Ray R, Santha SSR, Seshagiri PB, Narasimhan K, Gumdal N, Sivaramakrishnan V. Adenosine deaminase modulates metabolic remodeling and orchestrates joint destruction in rheumatoid arthritis. Sci Rep 2021;11:15129. [PMID: 34301999 DOI: 10.1038/s41598-021-94607-5] [Cited by in F6Publishing: 9] [Reference Citation Analysis]
12 Hur B, Gupta VK, Huang H, Wright KA, Warrington KJ, Taneja V, Davis JM 3rd, Sung J. Plasma metabolomic profiling in patients with rheumatoid arthritis identifies biochemical features predictive of quantitative disease activity. Arthritis Res Ther 2021;23:164. [PMID: 34103083 DOI: 10.1186/s13075-021-02537-4] [Cited by in F6Publishing: 9] [Reference Citation Analysis]
13 Puentes-Osorio Y, Amariles P, Calleja MÁ, Merino V, Díaz-Coronado JC, Taborda D. Potential clinical biomarkers in rheumatoid arthritis with an omic approach. Auto Immun Highlights 2021;12:9. [PMID: 34059137 DOI: 10.1186/s13317-021-00152-6] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
14 Chang R, Zhu Y, Xu J, Chen L, Su G, Kijlstra A, Yang P. Identification of Urine Metabolic Biomarkers for Vogt-Koyanagi-Harada Disease. Front Cell Dev Biol 2021;9:637489. [PMID: 33718374 DOI: 10.3389/fcell.2021.637489] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
15 Virgiliou C, Theodoridis G, Wilson ID, Gika HG. Quantification of endogenous aminoacids and aminoacid derivatives in urine by hydrophilic interaction liquid chromatography tandem mass spectrometry. J Chromatogr A 2021;1642:462005. [PMID: 33657487 DOI: 10.1016/j.chroma.2021.462005] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
16 Dudka I, Chachaj A, Sebastian A, Tański W, Stenlund H, Gröbner G, Szuba A. Metabolomic profiling reveals plasma GlycA and GlycB as a potential biomarkers for treatment efficiency in rheumatoid arthritis. J Pharm Biomed Anal 2021;197:113971. [PMID: 33639525 DOI: 10.1016/j.jpba.2021.113971] [Cited by in Crossref: 1] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
17 Gosselt HR, Muller IB, Jansen G, van Weeghel M, Vaz FM, Hazes JMW, Heil SG, de Jonge R. Identification of Metabolic Biomarkers in Relation to Methotrexate Response in Early Rheumatoid Arthritis. J Pers Med 2020;10:E271. [PMID: 33321888 DOI: 10.3390/jpm10040271] [Cited by in Crossref: 1] [Cited by in F6Publishing: 7] [Article Influence: 0.5] [Reference Citation Analysis]
18 Imas JJ, Ruiz Zamarreño C, Zubiate P, Sanchez-Martín L, Campión J, Matías IR. Optical Biosensors for the Detection of Rheumatoid Arthritis (RA) Biomarkers: A Comprehensive Review. Sensors (Basel) 2020;20:E6289. [PMID: 33158306 DOI: 10.3390/s20216289] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
19 Pasta G, Annunziata S, Polizzi A, Caliogna L, Jannelli E, Minen A, Mosconi M, Benazzo F, Di Minno MND. The Progression of Hemophilic Arthropathy: The Role of Biomarkers. Int J Mol Sci 2020;21:E7292. [PMID: 33023246 DOI: 10.3390/ijms21197292] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
20 Swank KR, Furness JE, Baker EA, Gehrke CK, Biebelhausen SP, Baker KC. Metabolomic Profiling in the Characterization of Degenerative Bone and Joint Diseases. Metabolites 2020;10:E223. [PMID: 32485832 DOI: 10.3390/metabo10060223] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
21 Rodriguez-merchan EC. Serological biomarkers in hemophilic arthropathy: Can they be used to monitor bleeding and ongoing progression of blood-induced joint disease in patients with hemophilia? Blood Reviews 2020;41:100642. [DOI: 10.1016/j.blre.2019.100642] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
22 Mena-Vázquez N, Ruiz-Limón P, Moreno-Indias I, Manrique-Arija S, Tinahones FJ, Fernández-Nebro A. Expansion of Rare and Harmful Lineages is Associated with Established Rheumatoid Arthritis. J Clin Med 2020;9:E1044. [PMID: 32272752 DOI: 10.3390/jcm9041044] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 2.5] [Reference Citation Analysis]
23 Zhou Y, Zhang X, Chen R, Han S, Liu Y, Liu X, Gao M, Yang C, Lu D, Sun B, Chen H. Serum amino acid metabolic profiles of ankylosing spondylitis by targeted metabolomics analysis. Clin Rheumatol 2020;39:2325-36. [DOI: 10.1007/s10067-020-04974-z] [Cited by in Crossref: 5] [Cited by in F6Publishing: 13] [Article Influence: 2.5] [Reference Citation Analysis]
24 Kristoff CJ, Bwanali L, Veltri LM, Gautam GP, Rutto PK, Newton EO, Holland LA. Challenging Bioanalyses with Capillary Electrophoresis. Anal Chem 2020;92:49-66. [PMID: 31698907 DOI: 10.1021/acs.analchem.9b04718] [Cited by in Crossref: 12] [Cited by in F6Publishing: 22] [Article Influence: 4.0] [Reference Citation Analysis]
25 González-Riano C, Dudzik D, Garcia A, Gil-de-la-Fuente A, Gradillas A, Godzien J, López-Gonzálvez Á, Rey-Stolle F, Rojo D, Ruperez FJ, Saiz J, Barbas C. Recent Developments along the Analytical Process for Metabolomics Workflows. Anal Chem 2020;92:203-26. [PMID: 31625723 DOI: 10.1021/acs.analchem.9b04553] [Cited by in Crossref: 28] [Cited by in F6Publishing: 44] [Article Influence: 9.3] [Reference Citation Analysis]