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Logical relations between
drugs, symptoms, etc.
Logical relations between
drugs, symptoms, etc.
Filtering medical statements by publication URL
From this research we know that
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-1.9Perhaps, Young plasma may increase SOD(BioMindmap Proof Quality is Negative.)updated by9 months ago
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-2.0Perhaps, Young plasma may decrease TNF-α(BioMindmap Proof Quality is Negative.)added by9 months ago
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-2.0Perhaps, Young plasma may decrease IL-6(BioMindmap Proof Quality is Negative.)added by9 months ago
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-2.0Perhaps, Young plasma may increase Catalase(BioMindmap Proof Quality is Negative.)added by9 months ago
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-1.7Perhaps, Young plasma may decrease Malondialdehyde(BioMindmap Proof Quality is Negative.)added by9 months ago
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-1.7Perhaps, Young plasma may increase GSH(BioMindmap Proof Quality is Negative.)added by9 months ago
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-2.0Perhaps, Young plasma may improve Cognition(BioMindmap Proof Quality is Negative.)added by9 months ago
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-2.0Perhaps, Young plasma may decrease Blood urea nitrogen(BioMindmap Proof Quality is Negative.)added by9 months ago
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-2.0Perhaps, Young plasma may decrease Cholesterol(BioMindmap Proof Quality is Negative.)added by9 months ago
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-2.0Perhaps, Young plasma may decrease Creatine(BioMindmap Proof Quality is Negative.)added by9 months ago
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-2.0Perhaps, Young plasma may increase HDL(BioMindmap Proof Quality is Negative.)added by9 months ago
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-1.7Perhaps, Young plasma may decrease SPGT(BioMindmap Proof Quality is Negative.)added by9 months ago
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-2.0Perhaps, Young plasma may decrease Triglycerides(BioMindmap Proof Quality is Negative.)added by9 months ago
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-1.7Perhaps, Young plasma may decrease Bilirubin(BioMindmap Proof Quality is Negative.)added by9 months ago
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-2.0Perhaps, Young plasma may decrease Direct bilirubin(BioMindmap Proof Quality is Negative.)added by9 months ago
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-1.7Perhaps, Young plasma may decrease Senescent cells(BioMindmap Proof Quality is Negative.)added by9 months ago
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-1.7Perhaps, Young plasma may decrease Epigenetic aging(BioMindmap Proof Quality is Negative.)added by9 months ago
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2020
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RESULTS: All DNA methylation data were generated on a custom methylation array that applies to all mammals. We obtained in total, DNA methylation profiles of n=517 samples from 13 different tissues of rat (Rattus norvegicus) (Supplementary Table 1, 2 and 3), with age that ranged from 0.0384 years (i.e. 2 weeks) to 2.3 years (i.e. 120 weeks). The rat tissue samples came from 3 different countries: (i) India (Nugenics Research in collaboration with NMIMS School of Pharmacy’s), (ii) the United States (H. Chen and L. Solberg Woods), and (iii) Argentina (R. Goya). Unsupervised hierarchical clustering shows that the methylation profiles clustered by tissue type, as would be expected (Supplementary Figure 1).
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