Table 1.
Study | Year | Country | Sample size (Patients/controls) | Mean age (Patients/controls) | Detected sample | miRNA | Detection method |
---|---|---|---|---|---|---|---|
Wu and Zhang (32) | 2018 | China | 119/96 | 59±11/57±10 | PBMCs | miRNA-126(down) | qPCR |
Dong et al. (25) | 2017 | China | 161/149 | 61.35±7.10/61.08±7.51 | PBMCs | miRNA-24(up), miRNA-33a(up), miRNA-103a(up), miRNA-122(up) | qPCR |
Quan et al. (29) | 2018 | China | 73/59 | 65.67±11.59/59.67±9.86 | Plasma | miRNA-146a | qRT-PCR |
Amr et al. (24) | 2018 | Egypt | 46/20 | 57.0±6.2/58.1±1.1 | Blood | miRNA-126(down) | qRT-PCR |
Faccini et al. (27) | 2017 | France | 69/32 | 58.4±9.0/57.3±11.6 | Plasma | let-7c(down), miRNA-145 (down), miRNA-155(down), | qRT-PCR |
Guo et al. (28) | 2018 | China | 300/100 | 56.2 | Blood | miRNA-223 | qRT-PCR |
Sayed et al. (30) | 2015 | China | 65/32 | 53 | Plasma | miRNA-149(down), miRNA-424,(down), miRNA-765(up) | qRT-PCR |
Wang et al. (31) | 2014 | China | 92/34 | 65.2±10.5/59.4±13.1 | Serum | miRNA-487a(up), miRNA-29b(up), miRNA-502(up), | qRT-PCR |
miRNA-208(up), miRNA-215(up) | |||||||
Zhang et al. (35) | 2017 | China | 290/110 | 59.2 | Blood | miRNA-208a(up) | qRT-PCR |
Zhang et al. (33) | 2018 | China | 102/92 | 59.6±9.7/57.2±8.5 | Plasma | miRNA-126(down), miRNA-210(down), miRNA-378(down), | qPCR |
Zhou et al. (36) | 2015 | China | 67/67 | NA | Plasma | miRNA-260(up), miRNA-574-5p(up) | qRT-PCR |
Zhang et al. (39) | 2020 | China | 88/67 | NA | Blood | miRNA-29a-3p(up), miRNA-574-3p(up), miRNA-574-5p (up) | qRT-PCR |
Du et al. (26) | 2016 | China | 40/40 | 34.20+5.93/36.58+3.96 | Serum | miRNA-196b-5p (down), miRNA-3613-3p(down), | qRT-PCR |
miRNA-145-3p (down), miRNA-190a-5p(down) | |||||||
Ali Sheikh et al. (23) | 2015 | China | 69/20 | 72.53±4.31/71.7±5.2 | Plasma | miRNA-765(up), miRNA-149 | qRT-PCR |
qPCR - quantitative real-time PCR; qRT-PCR - quantitative reverse transcription–PC; PBMCs - peripheral blood mononuclear cells; NA - data not available