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For: Ran N, Pang Z, Gu Y, Pan H, Zuo X, Guan X, Yuan Y, Wang Z, Guo Y, Cui Z, Wang F. An Updated Overview of Metabolomic Profile Changes in Chronic Obstructive Pulmonary Disease. Metabolites 2019;9:E111. [PMID: 31185592 DOI: 10.3390/metabo9060111] [Cited by in Crossref: 23] [Cited by in F6Publishing: 23] [Article Influence: 7.7] [Reference Citation Analysis]
Number Citing Articles
1 Kim J, Suresh B, Lim MN, Hong SH, Kim KS, Song HE, Lee HY, Yoo HJ, Kim WJ. Metabolomics Reveals Dysregulated Sphingolipid and Amino Acid Metabolism Associated with Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2022;17:2343-53. [PMID: 36172036 DOI: 10.2147/COPD.S376714] [Reference Citation Analysis]
2 Godbole S, Labaki WW, Pratte KA, Hill A, Moll M, Hastie AT, Peters SP, Gregory A, Ortega VE, Demeo D, Cho MH, Bhatt SP, Wells JM, Barjaktarevic I, Stringer KA, Comellas A, O’neal W, Kechris K, Bowler RP. A Metabolomic Severity Score for Airflow Obstruction and Emphysema. Metabolites 2022;12:368. [DOI: 10.3390/metabo12050368] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
3 Huang Q, Wu X, Gu Y, Wang T, Zhan Y, Chen J, Zeng Z, Lv Y, Zhao J, Xie J. Detection of the Disorders of Glycerophospholipids and Amino Acids Metabolism in Lung Tissue From Male COPD Patients. Front Mol Biosci 2022;9:839259. [DOI: 10.3389/fmolb.2022.839259] [Reference Citation Analysis]
4 Kim HY, Lee HS, Kim IH, Kim Y, Ji M, Oh S, Kim DY, Lee W, Kim SH, Paik MJ. Comprehensive Targeted Metabolomic Study in the Lung, Plasma, and Urine of PPE/LPS-Induced COPD Mice Model. Int J Mol Sci 2022;23:2748. [PMID: 35269890 DOI: 10.3390/ijms23052748] [Reference Citation Analysis]
5 Covarrubias-Zambrano O, Motamedi M, Ameredes BT, Tian B, Calhoun WJ, Zhao Y, Brasier AR, Kalubowilage M, Malalasekera AP, Yapa AS, Wang H, Culbertson CT, Troyer DL, Bossmann SH. Optical biosensing of markers of mucosal inflammation. Nanomedicine 2021;:102476. [PMID: 34743019 DOI: 10.1016/j.nano.2021.102476] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
6 Schuliga M, Read J, Knight DA. Ageing mechanisms that contribute to tissue remodeling in lung disease. Ageing Res Rev 2021;70:101405. [PMID: 34242806 DOI: 10.1016/j.arr.2021.101405] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 14.0] [Reference Citation Analysis]
7 Hu Y, Cheng X, Qiu Z, Chen X. Identification of Metabolism-Associated Molecular Subtypes of Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2021;16:2351-62. [PMID: 34429593 DOI: 10.2147/COPD.S316304] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Tian Q, Xu M, He B. Histidine ameliorates elastase- and lipopolysaccharide-induced lung inflammation by inhibiting the activation of the NLRP3 inflammasome. Acta Biochim Biophys Sin (Shanghai) 2021;53:1055-64. [PMID: 34125142 DOI: 10.1093/abbs/gmab072] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
9 Kowalczyk T, Kisluk J, Pietrowska K, Godzien J, Kozlowski M, Reszeć J, Sierko E, Naumnik W, Mróz R, Moniuszko M, Kretowski A, Niklinski J, Ciborowski M. The Ability of Metabolomics to Discriminate Non-Small-Cell Lung Cancer Subtypes Depends on the Stage of the Disease and the Type of Material Studied. Cancers (Basel) 2021;13:3314. [PMID: 34282765 DOI: 10.3390/cancers13133314] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
10 Kim DJ, Oh JY, Rhee CK, Park SJ, Shim JJ, Cho JY. Metabolic Fingerprinting Uncovers the Distinction Between the Phenotypes of Tuberculosis Associated COPD and Smoking-Induced COPD. Front Med (Lausanne) 2021;8:619077. [PMID: 34055821 DOI: 10.3389/fmed.2021.619077] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
11 Xue C, Wu N, Fan Y, Ma J, Ye Q. Distinct metabolic features in the plasma of patients with silicosis and dust-exposed workers in China: a case-control study. BMC Pulm Med 2021;21:91. [PMID: 33731064 DOI: 10.1186/s12890-021-01462-1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
12 Gillenwater LA, Pratte KA, Hobbs BD, Cho MH, Zhuang Y, Halper-Stromberg E, Cruickshank-Quinn C, Reisdorph N, Petrache I, Labaki WW, O'Neal WK, Ortega VE, Jones DP, Uppal K, Jacobson S, Michelotti G, Wendt CH, Kechris KJ, Bowler RP. Plasma Metabolomic Signatures of Chronic Obstructive Pulmonary Disease and the Impact of Genetic Variants on Phenotype-Driven Modules. Netw Syst Med 2020;3:159-81. [PMID: 33987620 DOI: 10.1089/nsm.2020.0009] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 5.5] [Reference Citation Analysis]
13 Li L, Yang DC, Chen CH. Metabolic reprogramming: A driver of cigarette smoke-induced inflammatory lung diseases. Free Radic Biol Med 2021;163:392-401. [PMID: 33387604 DOI: 10.1016/j.freeradbiomed.2020.12.438] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
14 Zhu T, Li S, Wang J, Liu C, Gao L, Zeng Y, Mao R, Cui B, Ji H, Chen Z. Induced sputum metabolomic profiles and oxidative stress are associated with chronic obstructive pulmonary disease (COPD) severity: potential use for predictive, preventive, and personalized medicine. EPMA J 2020;11:645-59. [PMID: 33235638 DOI: 10.1007/s13167-020-00227-w] [Cited by in Crossref: 14] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
15 Schneider J, Ye D, Hill AM, Whitehorn AS. Continued post-retraction citation of a fraudulent clinical trial report, 11 years after it was retracted for falsifying data. Scientometrics 2020;125:2877-913. [DOI: 10.1007/s11192-020-03631-1] [Cited by in Crossref: 23] [Cited by in F6Publishing: 24] [Article Influence: 11.5] [Reference Citation Analysis]
16 Lee KB, Ang L, Yau WP, Seow WJ. Association between Metabolites and the Risk of Lung Cancer: A Systematic Literature Review and Meta-Analysis of Observational Studies. Metabolites 2020;10:E362. [PMID: 32899527 DOI: 10.3390/metabo10090362] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
17 Ahmed Z, Zeeshan S, Foran DJ, Kleinman LC, Wondisford FE, Dong X. Integrative clinical, genomics and metabolomics data analysis for mainstream precision medicine to investigate COVID-19. BMJ Innov 2020;7:6-10. [DOI: 10.1136/bmjinnov-2020-000444] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 5.5] [Reference Citation Analysis]
18 Sarandi E, Thanasoula M, Anamaterou C, Papakonstantinou E, Geraci F, Papamichael MM, Itsiopoulos C, Tsoukalas D. Metabolic profiling of organic and fatty acids in chronic and autoimmune diseases. Adv Clin Chem 2021;101:169-229. [PMID: 33706889 DOI: 10.1016/bs.acc.2020.06.003] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
19 Zhou J, Li Q, Liu C, Pang R, Yin Y. Plasma Metabolomics and Lipidomics Reveal Perturbed Metabolites in Different Disease Stages of Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2020;15:553-65. [PMID: 32210549 DOI: 10.2147/COPD.S229505] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
20 Engelen MPKJ, Jonker R, Thaden JJ, Ten Have GAM, Jeon MS, Dasarathy S, Deutz NEP. Comprehensive metabolic flux analysis to explain skeletal muscle weakness in COPD. Clin Nutr 2020;39:3056-65. [PMID: 32035752 DOI: 10.1016/j.clnu.2020.01.010] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 7.0] [Reference Citation Analysis]
21 Tsoukalas D, Sarandi E, Thanasoula M, Docea AO, Tsilimidos G, Calina D, Tsatsakis A. Metabolic Fingerprint of Chronic Obstructive Lung Diseases: A New Diagnostic Perspective. Metabolites 2019;9:E290. [PMID: 31779131 DOI: 10.3390/metabo9120290] [Cited by in Crossref: 14] [Cited by in F6Publishing: 16] [Article Influence: 4.7] [Reference Citation Analysis]