| Literature DB >> 32737406 |
Muhammad Atif Zahoor1,2,3, Xiao-Dan Yao4,5, Bethany M Henrick6,7, Chris P Verschoor4,5,8, Alash'le Abimiku9,10, Sophia Osawe9, Kenneth L Rosenthal11,12.
Abstract
Despite the use of antiretroviral therapy (ART) in HIV-1 infected mothers approximately 5% of new HIV-1 infections still occur in breastfed infants annually, which warrants for the development of novel strategies to prevent new HIV-1 infections in infants. Human milk (HM) exosomes are highly enriched in microRNAs (miRNAs), which play an important role in neonatal immunity. Furthermore, HM exosomes from healthy donors are known to inhibit HIV-1 infection and transmission; however, the effect of HIV-1 on HM exosomal miRNA signatures remains unknown. In this study, we used nCounter NanoString technology and investigated miRNAs expression profiles in first week postpartum HM exosomes from HIV-1 infected and uninfected control mothers (n = 36). Our results indicated that HIV-1 perturbed the differential expression patterns of 19 miRNAs (13 upregulated and 6 downregulated) in HIV-1 infected women compared to healthy controls. DIANA-miR functional pathway analyses revealed that multiple biological pathways are involved including cell cycle, pathways in cancer, TGF-β signaling, FoxO signaling, fatty acid biosynthesis, p53 signaling and apoptosis. Moreover, the receiver operating characteristics (ROC) curve analyses of miR-630 and miR-378g yielded areas under the ROC curves of 0.82 (95% CI 0.67 to 0.82) and 0.83 (95% CI 0.67 to 0.83), respectively highlighting their potential to serve as biomarkers to identify HIV-1 infection in women. These data may contribute to the development of new therapeutic strategies in prevention of mother-to-child transmission (MTCT) of HIV-1.Entities:
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Year: 2020 PMID: 32737406 PMCID: PMC7395778 DOI: 10.1038/s41598-020-69799-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Schematic layout of the methodology adopted for Human Milk Exosomal miRNA Profiling. Human milk samples were collected from HIV-1 infected and uninfected control women from Nigeria. The samples were processed for exosome isolation and confirmed either by electron microscopy or by Western blotting using Exosomal marker protein CD81. Exosomal RNAs were extracted, subjected to integrity check by Bioanalyzer and run for miRNA profiling using nCounter Nanostring Human v3.0. The data were analyzed, and targets were predicted.
Clinical characteristics of HIV-1-infected and uninfected mothers.
| Sr. no. | ID no. | Status | Age | HIV status (duration till 2017) | ART (years) | No. of previous pregnancies | Live babies* |
|---|---|---|---|---|---|---|---|
| 1 | N-0379-M | Control | 30 | – | – | 0 | 0 |
| 2 | N-0380-M | Control | 30 | – | – | 3 | 3 |
| 3 | N-0382-M | Control | 26 | – | – | 1 | 0 (1) |
| 4 | N-0353-M | Control | 30 | – | – | 3 | 3 |
| 5 | N-0356-M | Control | 31 | – | – | 0 | 0 |
| 6 | N-0364-M | Control | 37 | – | – | 7 | 7 |
| 7 | N-0369-M | Control | 31 | – | – | 0 | 0 |
| 8 | N-0371-M | Control | 29 | – | – | 3 | 3 |
| 9 | N-0374-M | Control | 32 | – | – | 2 | 1 (1) |
| 10 | N-0230-M | HIV-1 | 30 | 2014 (3 years) | 3 | 0 | 0 |
| 11 | N-0231-M | HIV-1 | 35 | 2009 (8 years) | 8 | 9 | 4 (5) |
| 12 | N-0232-M | HIV-1 | 44 | 2006 (11 years) | 11 | 5 | 3 (2) |
| 13 | N-0236-M | HIV-1 | 35 | 2011 (6 years) | 6 | 3 | 3 |
| 14 | N-0247-M | HIV-1 | 27 | 2013 (4 years) | 4 | 2 | 2 |
| 15 | N-0248-M | HIV-1 | 30 | 2014 (3 years) | 3 | 3 | 3 |
| 16 | N-0249-M | HIV-1 | 28 | 2011 (6 years) | 6 | 2 | 0 (2) |
| 17 | N-0251-M | HIV-1 | 29 | 2006 (11 years) | 11 | 5 | 4 (1) |
| 18 | N-0254-M | HIV-1 | 29 | 2008 (9 years) | 9 | 1 | 1 |
| 19 | N-0130-M | HIV-1 | 31 | 2013 (4 years) | 4 | 2 | 2 |
| 20 | N-0138-M | HIV-1 | 29 | 2011 (6 years) | 6 | 3 | 1 (2) |
| 21 | N-0140-M | HIV-1 | 39 | 2007 (10 years) | 10 | 5 | 5 |
| 22 | N-0160-M | HIV-1 | 36 | 2014 (3 years) | 3 | 6 | 5 (1) |
| 23 | N-0164-M | HIV-1 | 24 | 2013 (4 years) | 4 | 2 | 0 (2) |
| 24 | N-0178-M | HIV-1 | 31 | 2007 (10 years) | 10 | 3 | 2 (1) |
| 25 | N-0181-M | HIV-1 | 28 | 2011 (6 years) | 6 | 1 | 1 |
| 26 | N-0192-M | HIV-1 | 34 | 2008 (9 years) | 9 | 0 | 0 |
| 27 | N-0196-M | HIV-1 | 29 | 2012 (5 years) | 5 | 0 | 0 |
| 28 | N-0207-M | HIV-1 | 31 | 2006 (11 years) | 11 | 7 | 5 (2) |
| 29 | N-0211-M | HIV-1 | 35 | 2008 (9 years) | 9 | 3 | 2 (1) |
| 30 | N-0222-M | HIV-1 | 29 | 2010 (7 years) | 7 | 0 | 0 |
| 31 | N-0226-M | HIV-1 | 30 | 2009 (8 years) | 8 | 2 | 2 |
| 32 | N-0233-M | HIV-1 | 34 | 2006 (11 years) | 11 | 4 | 4 |
| 33 | N-0234-M | HIV-1 | 26 | 2014 (3 years) | 3 | 0 | 0 |
| 34 | N-0238-M | HIV-1 | 30 | 2014 (3 years) | 3 | 7 | 5 (2) |
| 35 | N-0239-M | HIV-1 | 32 | 2008 (8 years) | 8 | 4 | 2 (2) |
| 36 | N-0240-M | HIV-1 | 28 | 2002 (15 years) | 15 | 2 | 1 (1) |
*Number of deceased are shown in parenthesis.
Figure 2Human Milk Exosome characterization and RNA isolation. (A) Transmission electron micrograph of human milk exosomes demonstrates small vesicles with sizes ranging from 30 to 100 nm in diameter (Magnification: × 300,000; Scale bar 100 nm) (B) Western blotting for exosome-associated marker protein CD81. 10, 20, and 40 µg of proteins from either freshly isolated or human milk exosomes kept at room temperature (RT) for 2 days were loaded (C) Electropherogram and (D) gel images of representative RNAs extracted from human milk exosomes run on Agilent 2100 Bioanalyzer. Lanes 1–9 correspond to 37–45 samples; L Ladder.
Figure 3Differential expression of human milk exosome miRNAs in HIV-1 infected women. The differential expression profile of human milk exosomal miRNAs is shown as a volcano plot which demonstrates fold change versus significance (P < 0.05) to exhibit differences in the miRNA expression between HIV-1 infected and uninfected control women. The X-axis of the plot shows log-base two-fold change whereas Y-axis shows the log P-value. Red color indicates the level of significance (P < 0.05).
Differentially expressed human milk exosomal miRNAs in HIV-1 infected mothers.
| Sr. no | miRNA ID | Log fold change | Fold change | p-value | Adj. p-value | Regulation |
|---|---|---|---|---|---|---|
| 1 | hsa-miR-320e | 3.06611 | 8.375124 | 2.57E−03 | 0.124605 | Up |
| 2 | hsa-miR-630 | 2.979453 | 7.886873 | 2.03E−05 | 0.005408 | Up |
| 3 | hsa-miR-148a-3p | 1.896117 | 3.7221 | 5.14E−04 | 0.068612 | Up |
| 4 | hsa-miR-23a-3p | 1.003622 | 2.005028 | 8.26E−03 | 0.207538 | Up |
| 5 | hsa-miR-378g | 0.866517 | 1.823256 | 1.24E−03 | 0.110628 | Up |
| 6 | hsa-miR-30a-5p | 0.834559 | 1.783312 | 1.96E−02 | 0.308391 | Up |
| 7 | hsa-miR-93-5p | 0.693353 | 1.617037 | 1.68E−02 | 0.279933 | Up |
| 8 | hsa-miR-497-5p | 0.682571 | 1.604997 | 1.02E−02 | 0.207538 | Up |
| 9 | hsa-miR-200b-3p | 0.580053 | 1.494904 | 2.82E−02 | 0.350687 | Up |
| 10 | hsa-miR-16-5p | 0.555462 | 1.469639 | 5.44E−02 | 0.386215 | Up |
| 11 | hsa-miR-422a | − 0.50323 | 1.41738 | 3.84E−02 | 0.381103 | Down |
| 12 | hsa-miR-644a | − 0.47998 | 1.394723 | 2.08E−03 | 0.124605 | Down |
| 13 | hsa-miR-200a-3p | 0.445082 | 1.361391 | 5.88E−02 | 0.386215 | Up |
| 14 | hsa-miR-520a-5p | − 0.40659 | 1.325552 | 3.27E−03 | 0.124605 | Down |
| 15 | hsa-miR-506-5p | − 0.39559 | 1.315479 | 5.92E−03 | 0.197641 | Down |
| 16 | hsa-miR-1262 | 0.386293 | 1.307031 | 1.13E−02 | 0.207538 | Up |
| 17 | hsa-miR-4516 | 0.386214 | 1.306959 | 1.10E−02 | 0.207538 | Up |
| 18 | hsa-miR-1257 | − 0.38522 | 1.306057 | 3.23E−03 | 0.124605 | Down |
| 19 | hsa-miR-1253 | − 0.38439 | 1.305306 | 2.43E−02 | 0.350687 | Down |
Tarbase v8.0 based target genes of the top ten differentially expressed human milk exosomal miRNAs in HIV-1 infected mothers.
| Sr. no. | miRNA ID | No. of interactions | Target genes (gene symbols)* | References |
|---|---|---|---|---|
| 1 | hsa-miR-320e | 327 | CDK6, MEGEA5, IGF2BP3, BTG2, WASF2, MINK1, SFPQ, PTBP1, BLMH, JUN, NUCKS1, CDK16, DYRK2, RTN4, CAND1, CLN6, MARCK5, RPL32, OAZ1, CSNK1A1, BAMBI, IRF3, DCAF7, ITGAV, BCL2L11, HNRNPU, DHX33, RNF10, UBE3C, WDR6, HERC1, NSD3 | [ |
| 2 | hsa-miR-630 | 3 | BCL2, BCL2L2, YAP1 | [ |
| 3 | hsa-miR-148a-3p | 1,481 | DNMT1, IGF1R, IRS1, ITGB8, BCL2L11, DCAF7, RAB1B, USP28, CDKN1B, ZNF460, TNRC6A, JAR1D2, CDK1, ATP5E, GAND1, PRNP, PBXIP1, CAND1, PBXIP1, RAB1B, CCN1, NR1D2, DCAF7, USP28 | [ |
| 4 | hsa-miR-23a-3p | 1744 | ZNF91, CXCL12, LAMP1, IFNG, CDK17, CDK1, HDAC7, TCF20, MTMR2, TOP2B, VACN, TRIB1, UBL3, FUT9, TSNAX, TJP2, AHNAK, TNRC6A, ZNF107, CBX5, CREBZF, SESN3, UFM1, EIF2A, STX12 | [ |
| 5 | hsa-miR-378g | 123 | TAOK1, PPP1R37, VE2F1, SP4, CBLC1, MBP, PSMD8, PABPC3, BLOC1S6, WDR5, SMAD2, FKBP4, PIAS1, KCTD20, PSMD8, TNRC6C, PAPOLA, CREBBP, CDH1, TARBP2, HIVEP3 | [ |
| 6 | hsa-miR-30a-5p | 2,808 | TNRC6A, DDIT4, RHOB, E2F7, BRWD1, NDEL1, DHX36, FBXO45, RPA2, XRN1, SOCS1, PLA2G12A, IFNGR2, DCAF12, ATG12, ERLIN1, NOTCH1, BECN1P1, DDAH1, MAST4, AGO2, SOX4, IPO4, SLC20A1, RNF139, VAMP3, DDIT4, RHOB, ANKRA2, LCOR, ZBTB18, NDEL1, XPO1, XRN1, PFN2, SRSF7 | [ |
| 7 | hsa-miR-93-5p | 2,227 | CDKN1A, CSKN1A1, CLIP1, ANKIB1, BACH1, CLTC, ULK1, DZAPAP2, CCND1, PELI1, MOB1A, E2F1, PIK3R1, RAB22A, IRF9, TNKS2, MAPK1, TXN, TMEM138, USP31, RRM2, MKNK2, PFN2, PURA, ADAM9, ZNFX1, RUFY2, TXNIP, SEMA7A, JAK1, CNOT4, WEE1, BNIP2, IPO7, RAB5B | [ |
| 8 | hsa-miR-497-5p | 1,590 | CCND1, CCNE1, E2F3, CDK6, ACTB, CCND3, CDk4, CDC25A, BTRC, TXNIP, FBXW7, ABI2, BTG2, WEE1, HSPA1B, ARL2, CSDE1, CCND1, CDCA4, BTG2, ATG9A, PDCD4, SESN3, SMAD2, NOTCH2, IGF1R, DDX6, MAPK8, PURA, TLK1, TACC1, HIPK2, BCL2L2 | [ |
| 9 | hsa-miR-200b-3p | 1905 | TCF7L1, ERBB21P, VAC14, RASSF2, NOTCH1, CDKN1B, AKAP11, CAB39, ANKRD42, ETS1, KRAS, YES1, TBP, XIAP, ZEB1, BCL2, NDFIP2, WEE1, JUN, RND3, ETS1, GLS, KDR, TOB1, NRBP1, FLT1, SMURF2, IRF9 | [ |
| 10 | hsa-miR-16-5p | 7,687 | TLR4, HIST1HIC, WEE1, DNAJB4, JUN, NUFIP2, CCND1, RRHGDIA, TNRC6A, LATS1, KIF21A, CDCA4, TLR6, DDX17, PSAT1, PRAGA, ODC1, SP1, CDK6, SMAD2, LAMP2, RBF217, XPO7, RANBP6, KPNA1, RNF217, XPO7, RANBP6, KPNA1, IRF9 | [ |
*Some of the target genes out of total are shown here in the table.
Figure 4KEGG Pathway analysis of differentially expressed human milk exosome miRNAs. Differentially expressed exosomal miRNAs in HIV-1 infected human milk regulate multiple cellular pathways. Depicted here in the heatmap, significant pathways generated by DIANA-miRPath v3.0 software using Tarbase database are shown on the X-axis whereas miRNAs are shown on the Y-axis. The color code represents the log (P-value), with the most significant predicted miRNA-pathway interactions in red.
Figure 5Gene Ontology Analysis of differentially expressed human milk exosome miRNAs. Gene Ontology of differentially expressed exosomal miRNAs in HIV-1 infected human milk is shown as heatmap which was created by DIANA-miRPath v3.0 software using Tarbase database. The heatmap enables similar miRNAs to cluster together in the same GO term. The color code represents the log (P-value), with the most significant GO term in red.
Figure 6Network analysis of differentially expressed miRNAs and their target genes in HIV-1 infected human milk. Network display showing differentially expressed miRNAs (Fold change 1.3; P < 0.05) and their target genes in HIV-1 infected human milk. Cluster hubs shown in blue squares indicate miRNAs whereas red circles depict their target genes.
Figure 7ROC curve analysis of human milk exosome miRNAs. ROC curves for the individual top five (miRNA-320e, miRNA-148a-3p; miRNA-378g, miRNA-630 and miRNA-23a-3p) or combined miRNAs (miRNA-630 and miRNA-378g) for discriminating HIV-1 infected women from healthy controls. ROC receiver operating characteristic, AUC area under the ROC curve.
Figure 8Schematic model showing miR-378g mediated TARBP2 depletion and inhibition of HIV-1 replication. (A) Target nucleotide sequence of 3′ UTR of Human TARBP2 (ENST00000552857.1) recognized by miR-378g as confidently annotated by TargetScan v7.2. Predicted consequential pairing of target region is shown in the top and miRNA-378g sequence in the bottom. (B) TARBP2, a cellular protein originally identified as a binding partner of HIV-1 LTR (transactivation response element found at both 5′ and 3′) and is well known to enhance HIV-1 expression and virus production, once depleted by host cellular miR-378g would presumably lower the HIV-1 expression and virus production[55].