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For: Bi X, Liu W, Ding X, Liang S, Zheng Y, Zhu X, Quan S, Yi X, Xiang N, Du J, Lyu H, Yu D, Zhang C, Xu L, Ge W, Zhan X, He J, Xiong Z, Zhang S, Li Y, Xu P, Zhu G, Wang D, Zhu H, Chen S, Li J, Zhao H, Zhu Y, Liu H, Xu J, Shen B, Guo T. Proteomic and metabolomic profiling of urine uncovers immune responses in patients with COVID-19. Cell Rep 2022;38:110271. [PMID: 35026155 DOI: 10.1016/j.celrep.2021.110271] [Cited by in Crossref: 13] [Cited by in F6Publishing: 19] [Article Influence: 13.0] [Reference Citation Analysis]
Number Citing Articles
1 Fu J, Zhu F, Xu CJ, Li Y. Metabolomics meets systems immunology. EMBO Rep 2023;:e55747. [PMID: 36916532 DOI: 10.15252/embr.202255747] [Reference Citation Analysis]
2 Wang H, Hui P, Uemoto Y, Ding Y, Yin Z, Bao W. Metabolomic and Proteomic Profiling of Porcine Intestinal Epithelial Cells Infected with Porcine Epidemic Diarrhea Virus. IJMS 2023;24:5071. [DOI: 10.3390/ijms24065071] [Reference Citation Analysis]
3 Rosolanka R, Liptak P, Baranovicova E, Bobcakova A, Vysehradsky R, Duricek M, Kapinova A, Dvorska D, Dankova Z, Simekova K, Lehotsky J, Halasova E, Banovcin P. Changes in the Urine Metabolomic Profile in Patients Recovering from Severe COVID-19. Metabolites 2023;13:364. [DOI: 10.3390/metabo13030364] [Reference Citation Analysis]
4 Joseph Pellissery A, Gopika Vinayamohan P, Susan Viju L, Joseph D, Venkitanarayanan K. Application of Urine Metabolomics as a Marker in Health and Disease. Advances and Challenges in Urine Laboratory Analysis [Working Title] 2023. [DOI: 10.5772/intechopen.109808] [Reference Citation Analysis]
5 Zhou Y, Sun R, Li S, Liang X, Qian L, Yue L, Guo T. High-Throughput and In-Depth Proteomic Profiling of 5 μL Plasma and Serum Using TMTpro 16-Plex. Methods Mol Biol 2023;2628:81-92. [PMID: 36781780 DOI: 10.1007/978-1-0716-2978-9_6] [Reference Citation Analysis]
6 Batra R, Uni R, Akchurin OM, Alvarez-Mulett S, Gómez-Escobar LG, Patino E, Hoffman KL, Simmons W, Whalen W, Chetnik K, Buyukozkan M, Benedetti E, Suhre K, Schenck E, Cho SJ, Choi AMK, Schmidt F, Choi ME, Krumsiek J. Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS. Mol Med 2023;29:13. [PMID: 36703108 DOI: 10.1186/s10020-023-00609-6] [Reference Citation Analysis]
7 Marhuenda-Egea FC, Narro-Serrano J, Shalabi-Benavent MJ, Álamo-Marzo JM, Amador-Prous C, Algado-Rabasa JT, Garijo-Saiz AM, Marco-Escoto M. A metabolic readout of the urine metabolome of COVID-19 patients. Metabolomics 2023;19:7. [PMID: 36694097 DOI: 10.1007/s11306-023-01971-6] [Reference Citation Analysis]
8 Cen X, Wang F, Huang X, Jovic D, Dubee F, Yang H, Li Y. Towards precision medicine: Omics approach for COVID-19. Biosaf Health 2023. [PMID: 36687209 DOI: 10.1016/j.bsheal.2023.01.002] [Reference Citation Analysis]
9 Baldanzi G, Purghè B, Ragnoli B, Sainaghi PP, Rolla R, Chiocchetti A, Manfredi M, Malerba M. Circulating Peptidome Is Strongly Altered in COVID-19 Patients. Int J Environ Res Public Health 2023;20. [PMID: 36674321 DOI: 10.3390/ijerph20021564] [Reference Citation Analysis]
10 Matsuzaka Y, Yashiro R. In Silico Protein Structure Analysis for SARS-CoV-2 Vaccines Using Deep Learning. BioMedInformatics 2023;3:54-72. [DOI: 10.3390/biomedinformatics3010004] [Reference Citation Analysis]
11 Bruzzone C, Conde R, Embade N, Mato JM, Millet O. Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19. Front Mol Biosci 2023;10:1111482. [PMID: 36876049 DOI: 10.3389/fmolb.2023.1111482] [Reference Citation Analysis]
12 Shao L, Liu J, Song Y, Yang W, Gong L, Lyu Z, Zhu Q, Fu J, Li J, Shi J. Serum metabolomics-based heterogeneities and screening strategy for metabolic dysfunction-associated fatty liver disease (MAFLD). Clin Chim Acta 2023;538:203-10. [PMID: 36549641 DOI: 10.1016/j.cca.2022.12.014] [Reference Citation Analysis]
13 Ciccosanti F, Antonioli M, Sacchi A, Notari S, Farina A, Beccacece A, Fusto M, Vergori A, D’offizi G, Taglietti F, Antinori A, Nicastri E, Marchioni L, Palmieri F, Ippolito G, Piacentini M, Agrati C, Fimia GM. Proteomic analysis identifies a signature of disease severity in the plasma of COVID-19 pneumonia patients associated to neutrophil, platelet and complement activation. Clin Proteom 2022;19:38. [DOI: 10.1186/s12014-022-09377-7] [Reference Citation Analysis]
14 Fan H, Li X, Li Z, Zheng N, Cao L, Liu Z, Liu M, Li K, Wu W, Li Z, Zhou T, Zhang Y, Liu W, Zhang L, You W, Wang Y, Wu J, Pan K, Qin J, Li W. Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer. eBioMedicine 2022;86:104340. [DOI: 10.1016/j.ebiom.2022.104340] [Reference Citation Analysis]
15 Silva-Aguiar RP, Teixeira DE, Peres RAS, Peruchetti DB, Gomes CP, Schmaier AH, Rocco PRM, Pinheiro AAS, Caruso-Neves C. Subclinical Acute Kidney Injury in COVID-19: Possible Mechanisms and Future Perspectives. Int J Mol Sci 2022;23. [PMID: 36430671 DOI: 10.3390/ijms232214193] [Reference Citation Analysis]
16 Yuan Q, Zhou Q, Wang N, Zheng Y, Hu H, Hu S, Wang H. Integrative proteomics and metabolomics of Guizhou Miao Sour Soup affecting simple obese rats. Front Nutr 2022;9. [DOI: 10.3389/fnut.2022.1019205] [Reference Citation Analysis]
17 Moura AV, de Oliveira DC, Silva AAR, da Rosa JR, Garcia PHD, Sanches PHG, Garza KY, Mendes FMM, Lambert M, Gutierrez JM, Granado NM, dos Santos AC, de Lima IL, Negrini LDDO, Antonio MA, Eberlin MN, Eberlin LS, Porcari AM. Urine Metabolites Enable Fast Detection of COVID-19 Using Mass Spectrometry. Metabolites 2022;12:1056. [DOI: 10.3390/metabo12111056] [Reference Citation Analysis]
18 Wang Y, Zhu Q, Sun R, Yi X, Huang L, Hu Y, Ge W, Gao H, Ye X, Song Y, Shao L, Li Y, Li J, Guo T, Shi J. Longitudinal proteomic investigation of COVID-19 vaccination.. [DOI: 10.1101/2022.11.01.22281744] [Reference Citation Analysis]
19 He B, Huang Z, Huang C, Nice EC. Clinical applications of plasma proteomics and peptidomics: Towards precision medicine. Proteomics Clin Appl 2022;16:e2100097. [PMID: 35490333 DOI: 10.1002/prca.202100097] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
20 Liu Y, Yang Q, Du Z, Liu J, Zhang Y, Zhang W, Qin W. Synthesis of Surface-Functionalized Molybdenum Disulfide Nanomaterials for Efficient Adsorption and Deep Profiling of the Human Plasma Proteome by Data-Independent Acquisition. Anal Chem 2022. [PMID: 36264706 DOI: 10.1021/acs.analchem.2c02736] [Reference Citation Analysis]
21 Pan X, Liu Y, Bao Y, Wei L, Gao Y. Changes in the urinary proteome before and after quadrivalent influenza vaccine and COVID-19 vaccination. Front Immunol 2022;13:946791. [DOI: 10.3389/fimmu.2022.946791] [Reference Citation Analysis]
22 Occelli C, Guigonis J, Lindenthal S, Cagnard A, Graslin F, Brglez V, Seitz-polski B, Dellamonica J, Levraut J, Pourcher T. Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19. Front Med 2022;9. [DOI: 10.3389/fmed.2022.995069] [Reference Citation Analysis]
23 Yu S, Li X, Xin Z, Sun L, Shi J. Proteomic insights into SARS-CoV-2 infection mechanisms, diagnosis, therapies and prognostic monitoring methods. Front Immunol 2022;13:923387. [DOI: 10.3389/fimmu.2022.923387] [Reference Citation Analysis]
24 Chen W, Yao M, Chen M, Ou Z, Yang Q, He Y, Zhang N, Deng M, Wu Y, Chen R, Tan X, Kong Z. Using an untargeted metabolomics approach to analyze serum metabolites in COVID-19 patients with nucleic acid turning negative. Front Pharmacol 2022;13:964037. [DOI: 10.3389/fphar.2022.964037] [Reference Citation Analysis]
25 Batra R, Uni R, Akchurin OM, Alvarez-Mulett S, Gómez-Escobar LG, Patino E, Hoffman KL, Simmons W, Chetnik K, Buyukozkan M, Benedetti E, Suhre K, Schenck E, Cho SJ, Choi AMK, Schmidt F, Choi ME, Krumsiek J. Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS. medRxiv 2022:2022. [PMID: 35982662 DOI: 10.1101/2022.08.10.22277939] [Reference Citation Analysis]
26 Zhou CX, Li LY, Huang CQ, Guo XD, An XD, Luo FF, Cong W. Investigation of urine metabolome of BALB/c mouse infected with an avirulent strain of Toxoplasma gondii. Parasit Vectors 2022;15:271. [PMID: 35906695 DOI: 10.1186/s13071-022-05408-2] [Reference Citation Analysis]
27 Hao M, Wang D, Xia Q, Kan S, Chang L, Liu H, Yang Z, Liu W. Pathogenic Mechanism and Multi-omics Analysis of Oral Manifestations in COVID-19. Front Immunol 2022;13:879792. [DOI: 10.3389/fimmu.2022.879792] [Reference Citation Analysis]
28 Pan X, Liu Y, Bao Y, Wei L, Gao Y. Changes of urinary proteomic before and after QIV and COVID-19 vaccination.. [DOI: 10.1101/2022.03.25.485748] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Lu T, Wang Y, Guo T. Multi-omics in COVID-19: Seeing the unseen but overlooked in the clinic. Cell Rep Med 2022;3:100580. [PMID: 35474745 DOI: 10.1016/j.xcrm.2022.100580] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
30 Zhou H, Zhang Z, Dobrinina M, Dong Y, Kang Z, Chereshnev V, Hu D, Zhang Z, Zhang J, Sarapultsev A. Urinalysis, but Not Blood Biochemistry, Detects the Early Renal Impairment in Patients with COVID-19. Diagnostics 2022;12:602. [DOI: 10.3390/diagnostics12030602] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]