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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJMM</journal-id>
<journal-title-group>
<journal-title>International Journal of Molecular Medicine</journal-title></journal-title-group>
<issn pub-type="ppub">1107-3756</issn>
<issn pub-type="epub">1791-244X</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijmm.2021.5049</article-id>
<article-id pub-id-type="publisher-id">ijmm-48-06-05049</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>lncRNA <italic>NORAD</italic> is consistently detected in breastmilk exosomes and its expression is downregulated in mothers of preterm infants</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Mourtzi</surname><given-names>Niki</given-names></name><xref rid="af1-ijmm-48-06-05049" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Siahanidou</surname><given-names>Tania</given-names></name><xref rid="af2-ijmm-48-06-05049" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Tsifintaris</surname><given-names>Margaritis</given-names></name><xref rid="af3-ijmm-48-06-05049" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Karamichali</surname><given-names>Eirini</given-names></name><xref rid="af4-ijmm-48-06-05049" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>Tasiopoulou</surname><given-names>Androniki</given-names></name><xref rid="af3-ijmm-48-06-05049" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Sertedaki</surname><given-names>Amalia</given-names></name><xref rid="af1-ijmm-48-06-05049" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Pesmatzoglou</surname><given-names>Margarita</given-names></name><xref rid="af2-ijmm-48-06-05049" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Kapetanaki</surname><given-names>Anastasia</given-names></name><xref rid="af5-ijmm-48-06-05049" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>Liosis</surname><given-names>George</given-names></name><xref rid="af5-ijmm-48-06-05049" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>Baltatzis</surname><given-names>George</given-names></name><xref rid="af6-ijmm-48-06-05049" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author">
<name><surname>Vlachakis</surname><given-names>Dimitrios</given-names></name><xref rid="af7-ijmm-48-06-05049" ref-type="aff">7</xref><xref rid="af8-ijmm-48-06-05049" ref-type="aff">8</xref></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chrousos</surname><given-names>George P.</given-names></name><xref rid="af8-ijmm-48-06-05049" ref-type="aff">8</xref><xref ref-type="corresp" rid="c2-ijmm-48-06-05049"/></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Giannakakis</surname><given-names>Antonis</given-names></name><xref rid="af3-ijmm-48-06-05049" ref-type="aff">3</xref><xref rid="af8-ijmm-48-06-05049" ref-type="aff">8</xref><xref ref-type="corresp" rid="c1-ijmm-48-06-05049"/></contrib></contrib-group>
<aff id="af1-ijmm-48-06-05049">
<label>1</label>Laboratory of Molecular Endocrinology, Choremeio Research Center, First Department of Pediatrics, Children's Hospital 'Aghia Sophia', School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece</aff>
<aff id="af2-ijmm-48-06-05049">
<label>2</label>First Department of Pediatrics, 'Aghia Sophia' Children's Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece</aff>
<aff id="af3-ijmm-48-06-05049">
<label>3</label>Laboratory of Gene Expression, Molecular Diagnostics and Modern Therapeutics, Department of Molecular Biology and Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece</aff>
<aff id="af4-ijmm-48-06-05049">
<label>4</label>Laboratory of Molecular Virology, Hellenic Pasteur Institute, 11521 Athens, Greece</aff>
<aff id="af5-ijmm-48-06-05049">
<label>5</label>General and Maternity Hospital 'Helena Venizelou', 11521 Athens, Greece</aff>
<aff id="af6-ijmm-48-06-05049">
<label>6</label>First Department of Pathology, School of Health Sciences, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece</aff>
<aff id="af7-ijmm-48-06-05049">
<label>7</label>Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 11855 Athens, Greece</aff>
<aff id="af8-ijmm-48-06-05049">
<label>8</label>University Research Institute of Maternal and Child Health and Precision Medicine, and UNESCO Chair on Adolescent Health Care, National and Kapodistrian University of Athens, 11527 Athens, Greece</aff>
<author-notes>
<corresp id="c1-ijmm-48-06-05049">Correspondence to: Dr Antonis Giannakakis, Laboratory of Gene Expression, Molecular Diagnostics and Modern Therapeutics, Department of Molecular Biology and Genetics, Democritus University of Thrace, Draganas 10, 68100 Alexandroupolis, Greece, E-mail: <email>antgian@mbg.duth.gr</email></corresp>
<corresp id="c2-ijmm-48-06-05049">Professor George P. Chrousos, University Research Institute of Maternal and Child Health and Precision Medicine, and UNESCO Chair on Adolescent Health Care, National and Kapodistrian University of Athens, 8 Thivon and Livadias Street, 11527 Athens, Greece, E-mail: <email>chrousos@gmail.com</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>12</month>
<year>2021</year></pub-date>
<pub-date pub-type="epub">
<day>14</day>
<month>10</month>
<year>2021</year></pub-date>
<volume>48</volume>
<issue>6</issue>
<elocation-id>216</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>07</month>
<year>2021</year></date>
<date date-type="accepted">
<day>27</day>
<month>09</month>
<year>2021</year></date></history>
<permissions>
<copyright-statement>Copyright: &#x000A9; Mourtzi et al.</copyright-statement>
<copyright-year>2021</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license></permissions>
<abstract>
<p>Breast milk is the ideal food for infants and undoubtedly has immediate and long-term benefits. Breast milk contains extracellular vesicles (EVs) i.e., exosomes secreted by maternal breast cells. Exosomes carry genetic material, such as long non-coding RNAs (lncRNAs), which possibly participate in cell-to-cell communications, as they are known to regulate critical gene pathways. The aim of the present study was to screen human breastmilk exosomes for their lncRNA cargo and to examine exosomal lncRNA levels associated with milk obtained from mothers that gave birth at term or prematurely (&lt;37 weeks of gestation). Samples were collected at 3 weeks postpartum from 20 healthy, breastfeeding mothers; 10 mothers had given birth at full-term and 10 mothers preterm. Exosomal RNA was extracted from all samples and the expression of 88 distinct lncRNAs was determined using reverse transcription-quantitative PCR. A total of 13 lncRNAs were detected in &#x02265;85% of the samples, while 31 were detected in &#x02265;50% of the samples. Differential expression analysis of the lncRNAs between the two groups revealed &#x02265;2-fold differences, with generally higher lncRNA concentrations found in the milk of the mothers that gave birth at term compared with those that gave birth preterm. Among these, the non-coding RNA activated at DNA damage (<italic>NORAD</italic>) was prominently detected in both groups, and its expression was significantly downregulated in the breast milk exosomes of mothers who delivered preterm. On the whole, the present study demonstrates that breast milk lncRNAs may be important factors of normal early human development. Collectively, the presence of lncRNAs in human breast milk may explain the consistent inability of researchers to fully 'humanize' animal milk.</p></abstract>
<kwd-group>
<kwd>breastmilk</kwd>
<kwd>exosomes</kwd>
<kwd>long non-coding RNAs</kwd>
<kwd>preterm birth</kwd>
<kwd>non-coding RNA activated at DNA damage</kwd></kwd-group>
<funding-group>
<award-group>
<funding-source>MilkSafe: A novel pipeline to enrich formula milk using omics technologies</funding-source>
<award-id>5074548</award-id></award-group>
<award-group>
<funding-source>Operational Programme 'Competitiveness, Entrepreneurship and Innovation</funding-source>
<award-id>NSRF 2014-2020</award-id></award-group>
<funding-statement>The present study was funded by the project 'MilkSafe: A novel pipeline to enrich formula milk using omics technologies (MIS 5074548)' which is implemented under the Action 'Reinforcement of the Research and Innovation Infrastructure', funded by the Operational Programme 'Competitiveness, Entrepreneurship and Innovation' (NSRF 2014-2020) and co-financed by Greece and the European Union (European Regional Development Fund).</funding-statement></funding-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Preterm birth affects &gt;15 million infants worldwide (<xref rid="b1-ijmm-48-06-05049" ref-type="bibr">1</xref>). These infants are at a significantly increased risk of developing acute adverse health outcomes, such as life-long metabolic (<xref rid="b2-ijmm-48-06-05049" ref-type="bibr">2</xref>) and immune health complications (<xref rid="b3-ijmm-48-06-05049" ref-type="bibr">3</xref>). Breast milk confers significant benefits to infant health, including a decreased risk of sudden infant death syndrome, sepsis and necrotizing enterocolitis (<xref rid="b4-ijmm-48-06-05049" ref-type="bibr">4</xref>). It has also been associated with improved neurodevelopmental outcomes and protection against metabolic diseases, including obesity and diabetes mellitus type 1 and 2 during the later stages of life (<xref rid="b5-ijmm-48-06-05049" ref-type="bibr">5</xref>,<xref rid="b6-ijmm-48-06-05049" ref-type="bibr">6</xref>). The latter is further illustrated by recent studies demonstrating the modulatory effects of breastfeeding on the expression of genes, such as the fat mass and obesity-associated (<italic>FTO</italic>) gene, which interacts with mRNAs/long non-coding RNAs (lncRNAs) to influence body mass index and fat tissue growth (<xref rid="b7-ijmm-48-06-05049" ref-type="bibr">7</xref>-<xref rid="b9-ijmm-48-06-05049" ref-type="bibr">9</xref>). Human milk composition is unique; however, it is influenced by maternal factors, including stress, nutrition, presence of inflammation and preterm birth (<xref rid="b10-ijmm-48-06-05049" ref-type="bibr">10</xref>,<xref rid="b11-ijmm-48-06-05049" ref-type="bibr">11</xref>). Apart from nutrients, human breast milk contains a heterogeneous array of non-nutritive components, including enzymes, hormones, growth factors, immune cells, stem cells, bacteria, antibodies, cytokines, antimicrobial peptides and extracellular vesicles (EVs), that may play significant roles in the development of infants (<xref rid="b12-ijmm-48-06-05049" ref-type="bibr">12</xref>,<xref rid="b13-ijmm-48-06-05049" ref-type="bibr">13</xref>).</p>
<p>EVs comprise a vast spectrum of microparticles and based on the corresponding size range and biogenesis, can be broadly classified into three distinct classes: Microvesicles, exosomes and apoptotic bodies (<xref rid="b14-ijmm-48-06-05049" ref-type="bibr">14</xref>). Microvesicles have a diameter ranging from 50 nm to 1 <italic>&#x000B5;</italic>m and are released by cell membrane budding. Exosomes are particles with a diameter ranging from 30-150 nm and are derived via a targeted mechanism from the cell endocytic compartment through the formation of multivesicular bodies (MVBs) (<xref rid="b15-ijmm-48-06-05049" ref-type="bibr">15</xref>). Exosomes are small lipid-bound vesicles released from all cells into the extracellular space or biological fluids (<xref rid="b16-ijmm-48-06-05049" ref-type="bibr">16</xref>). They are highly heterogeneous as regards their size, content and function to recipient cells and cells of origin, and they can induce a repertoire of biological responses. Exosomes are considered as an integral part of the senescence-associated secretory phenotype (<xref rid="b17-ijmm-48-06-05049" ref-type="bibr">17</xref>) and depending on their cargo or surface composition, they may function as specific signals/mediators of systemic stress between cells or between tissues (<xref rid="b14-ijmm-48-06-05049" ref-type="bibr">14</xref>). Breast milk is a biofluid enriched in exosomes. Previous studies have indicated the protective role of human milk-derived exosomes, focusing on their role against necrotizing enterocolitis in preterm infants (<xref rid="b9-ijmm-48-06-05049" ref-type="bibr">9</xref>,<xref rid="b18-ijmm-48-06-05049" ref-type="bibr">18</xref>). Furthermore, exosomes in breast milk may be central epigenetic regulators as regards the expression of developmental genes, such as <italic>FTO</italic>, insulin (<italic>INS</italic>) and insulin like growth factor 1 (<italic>IGF1</italic>) (<xref rid="b9-ijmm-48-06-05049" ref-type="bibr">9</xref>).</p>
<p>A number of studies have suggested that exosomes harbor a variety of active or non-autonomous biomolecules, including proteins, lipids, DNA, mRNAs, microRNAs (miRNAs/miRs) and lncRNAs. Thus, owing to their unique potential to group multiple signals together, exosomes constitute an alternative and largely unexplored mode of communication between neighboring and distant cells, differing from the conventional hormone-mediated mechanisms (<xref rid="b14-ijmm-48-06-05049" ref-type="bibr">14</xref>,<xref rid="b15-ijmm-48-06-05049" ref-type="bibr">15</xref>,<xref rid="b19-ijmm-48-06-05049" ref-type="bibr">19</xref>,<xref rid="b20-ijmm-48-06-05049" ref-type="bibr">20</xref>). Likewise, regulatory non-coding RNAs (ncRNAs) have already been established as an appealing new source of novel 'genetic hormones' and biomarkers, with an increased sensitivity and specificity for an unprecedented range of diseases, conditions or cell states (<xref rid="b20-ijmm-48-06-05049" ref-type="bibr">20</xref>). There is a growing body of literature that recognizes the crucial roles of lncRNAs in gene regulation as they can interact with proteins, DNA and RNA, and modulate mRNA expression, chromatin function and signaling pathways (<xref rid="b21-ijmm-48-06-05049" ref-type="bibr">21</xref>). Of note, the RNA cargo in exosomes does not simply reflect the tissue and cell state, nor does it represent the RNA composition of the cell of origin, but rather a selective sorting and loading of specific RNAs into EVs. lncRNAs are at the forefront of both basic biological and clinical research due to their immense predictive value as novel biomarkers in precision medicine, as well as their significant therapeutic potential, given that lncRNAs are considered easier to be targeted for disease prevention and therapy, compared to protein-coding genes. Previous studies have revealed the presence of miRNAs (<xref rid="b22-ijmm-48-06-05049" ref-type="bibr">22</xref>) and lncRNAs in EVs in breast milk (<xref rid="b12-ijmm-48-06-05049" ref-type="bibr">12</xref>,<xref rid="b23-ijmm-48-06-05049" ref-type="bibr">23</xref>). Karlsson <italic>et al</italic> (<xref rid="b12-ijmm-48-06-05049" ref-type="bibr">12</xref>) detected exosomal lncRNAs in breast milk, including colorectal neoplasia differentially expressed (<italic>CRNDE</italic>) gene, differentiation antagonizing non-protein coding RNA (<italic>DANCR</italic>), growth arrest-specific 5 (<italic>GAS5</italic>), steroid receptor RNA activator 1 <italic>(SRA1</italic>) and ZNFX1 antisense RNA 1 (<italic>ZFAS1</italic>), that may represent epigenetic regulators involved in child development.</p>
<p>The present study demonstrates that exosomes circulating in human breast milk consistently carry two sets of lncRNAs with well-known functions in the inflammatory response and auto-immunity that exhibit opposite loading patterns corresponding to two potential sets of epigenetic exosomal cargo in human breast milk. The specificity and reproducibility of the present study is ensured by the simultaneous co-detection of 'reference lncRNAs' previously identified in the study by Karlsson <italic>et al</italic> (<xref rid="b12-ijmm-48-06-05049" ref-type="bibr">12</xref>) in breast milk-derived exosomes (e.g., GAS5). A novel lncRNA, LINC00657 &#x0005B;non-coding RNA activated at DNA damage (<italic>NORAD</italic>)&#x0005D; was consistently co-detected with GAS5, which exhibited the highest detection signal among exosomes in all breast milk samples analyzed. Furthermore, the present study represents the first differential expression analysis of breast milk exosomal lncRNAs in breast milk of mothers who gave birth preterm vs. term. The results presented herein indicate that the loading levels of NORAD in breast milk-derived exosomes are suppressed at least 2-fold in mothers who gave birth preterm compared with those who delivered at term, in a statistically significant manner.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Study participants</title>
<p>Participants (mothers) between 27-40 years of age without major health issues (e.g., diabetes, toxemia, etc.) and any medication treatment (apart from intake of vitamins, calcium and other supplements) were recruited at the Neonatal Unit of the First Department of Pediatrics of National and Kapodistrian University of Athens at 'Aghia Sophia' Children's Hospital (Athens, Greece) during a 6-month period (January, 2020 to June, 2020). Overall, 20 breast milk samples were collected, 10 from mothers who delivered preterm (gestational age, &lt;37 weeks) and 10 from mothers who delivered at term (gestational age, &#x02265;37 weeks). All participants provided written informed consent prior to enrolment, and the study was approved by the Ethics Committee of 'Aghia Sophia' Children's Hospital (protocol code, 24814; date of approval, October 30, 2017).</p></sec>
<sec>
<title>Breast milk sample collection</title>
<p>Breast milk samples (20-40 ml) were collected using a manual pump at the end of the first month postpartum. Samples were kept at 4&#x000B0;C until their transport to the laboratory on the same day. Upon arrival, the samples were centrifuged at 1,500 &#x000D7; g for 15 min at 4&#x000B0;C and the skim milk fraction was collected through a disposable needle syringe of 5 ml. The skim milk sample was centrifuged again at 3,000 &#x000D7; g for 30 min, at 4&#x000B0;C to remove the remaining fat globules and cell debris, and stored in a 1 ml aliquot at &#x02212;80&#x000B0;C until further analysis.</p></sec>
<sec>
<title>Isolation of EVs</title>
<p>Breast milk aliquots were thawed on ice and centrifuged at 3,000 &#x000D7; g for 15 min at 4&#x000B0;C. The fat layer was discarded using a vacuum and the supernatant was carefully aspirated, mixed with 2 volumes of 1X PBS and filtered using a 0.8-<italic>&#x000B5;</italic>m membrane unit (EMD Millipore) to remove large aggregates and any residual cell debris. To isolate intact exosomes for western blot analysis, the exoRNeasy Serum/Plasma MaxiKit (Qiagen, Inc.) was used according to the provided protocol. Intact exosomes were extracted from 2 ml of pre-filtered skim milk and were eluted in 140 <italic>&#x000B5;</italic>l of 2X elution buffer (Qiagen, Inc.).</p></sec>
<sec>
<title>Western blot analysis</title>
<p>Exosome samples were first lysed using RIPA buffer &#x0005B;cat. no. 89900, Thermo Fisher Scientific, Inc.; 1.0% (v/v) NP-40 or Triton X-100, 0.5% (w/v) sodium deoxycholate, 0.1% (w/v) SDS, 50 mM Tris, pH 8.0&#x0005D; and the protein content was quantified using BCA Protein assay (Thermo Fisher Scientific, Inc.). A total of 30 <italic>&#x000B5;</italic>g of each sample were electrophoretically separated on 10% (w/v) SDS-gel and transferred onto a nitrocellulose membrane (0.2 nm). The membrane was blocked using 5% non-fat milk diluted in 1X TBST (20 mM Tris-base, 150 mM NaCl, 0,1% w/v Tween-20), for 1 h at room temperature. To visualize protein markers, the membrane was incubated with mouse anti-CD63 monoclonal IgG1 antibody (cat. no. sc-5275), mouse anti-CD9 monoclonal IgG1 antibody (cat. no. sc-13118) and mouse anti-cytochrome b5 type b monoclonal IgG1 antibody (cat. no. sc-390876) (all from Santa Cruz Biotechnology, Inc.). All antibodies were diluted 1/500 in 5% non-fat milk. The samples were incubated for 2 h at room temperature with anti-mouse secondary IgG Fc antibody HRP-conjugated (cat. no. sc-525409; Santa Cruz Biotechnology, Inc.) diluted 1/2,000 in 5% non-fat milk. Visualization was performed using Immobilon Forte Western HRP Substrate (cat. no. WBLUF0020; Merck Millipore).</p></sec>
<sec>
<title>Electron microscopy</title>
<p>An aliquot of 3 <italic>&#x000B5;</italic>l from each sample was added to a grid with a carbon supporting film for 5 min. The excess solution was soaked off using a filter paper, the grid was rinsed by the addition of 5 <italic>&#x000B5;</italic>l distilled water for 10 sec, soaked off and stained with 1% uranyl acetate in water for 10 sec and then air-dried. The samples were examined in a Morgagni 268 transmission electron microscope (FEI Company) at 60 kV. Digital images were obtained using a Veleta camera (Olympus Soft Imaging Solutions GmbH).</p></sec>
<sec>
<title>Reverse transcription-quantitative PCR (RT-qPCR)</title>
<p>For the extraction of the total RNA content encapsulated in exosomes, the exoRNeasy Serum/Plasma MaxiKit (cat no. 77164; Qiagen, Inc.) was used according to the manufacturer's protocol. RNA was extracted from 4 ml of pre-filtered skim milk and was eluted in 14 <italic>&#x000B5;</italic>l of RNAse-free water. The quality of the isolated total RNA content was assessed using a NanoDrop (ND-1000) spectrophotometer and its concentration was determined using the Qubit RNA assay kit and the Qubit 3.0 fluorometer (Thermo Fisher Scientific, Inc.). The expression of exosomal lncRNAs was determined using a custom 96-well RT<sup>2</sup> PCR Array (Qiagen, cat. no. CLAH00049). The array was based on the Human Inflammatory Response and Autoimmunity RT<sup>2</sup> lncRNA PCR array (cat. no. LAHS-004Z; Qiagen, Inc.) consisting of 84 lncRNAs (RT<sub>2</sub>lncRNA PreAMP primer mix; Qiagen GmbH; contains pre-dispensed, laboratory verified, gene-specific primer pairs for 84 genes) involved in autoimmune and inflammatory immune responses, as well as three lncRNAs that were reported previously by Karlsson <italic>et al</italic> (<xref rid="b12-ijmm-48-06-05049" ref-type="bibr">12</xref>) to be consistently detected in human breast milk-derived EVs (SRA1, CRNDE and DANCR). This panel also included a set of controls to evaluate genomic DNA contamination, as well as PCR and reverse transcription performance. cDNA synthesis was performed using the RT2 First Strand kit (ID:330401, custom cat. no. CLAH00049-LAHS-004Z; Qiagen, Inc.) according to the manufacturer's protocol that includes a DNA elimination step prior the reverse transcription. For the cDNA synthesis, 1 <italic>&#x000B5;</italic>g of RNA was diluted in RNase-free H<sub>2</sub>O to a final volume of 8 <italic>&#x000B5;</italic>l (without a pre-amplification step) was used as an input. The synthesized cDNA was then mixed with RT2 SYBR-Green MasterMix and RNase-free water to yield the PCR component, which was distributed in 25 <italic>&#x000B5;</italic>l aliquots to each well of the lncRNA PCR plate. qPCR was performed on a Light cycler 480 II PCR machine (96-well; Roche Diagnostics) and the PCR cycling conditions consisted of an initial step of 10 min at 95&#x000B0;C for HotStart Activation, followed by 40 cycles of 15 sec at 95&#x000B0;C and 1 min at 60&#x000B0;C. A Cq value &lt;40 was considered as the limit for the detection of expression. Normalized expression levels were calculated using inverse Min-max feature scaling, 1-&#x0005B;NorCq<sub>target</sub> lncRNA-MIN(NorCq)&#x0005D;/&#x0005B;MAX(NorCq)-MIN(NorCq)&#x0005D;, where NorCq=Cq<sub>target</sub> lncRNA/Cq<sub>Reference</sub>, while Cq<sub>Reference</sub>=(Cq<sub>RPLP0</sub> + Cq<sub>ACTB</sub>)/2. To investigate the differences between the expression of lncRNAs in the breast milk of mothers who delivered infants at term and those who delivered preterm, raw data were analyzed and the relative expression level of target lncRNAs was determined using the 2<sup>&#x02212;&#x00394;Cq</sup> method, where &#x00394;Cq=Cq<sub>target</sub> lncRNA-Cq<sub>Reference</sub> (<xref rid="b24-ijmm-48-06-05049" ref-type="bibr">24</xref>). Ribosomal protein lateral stalk subunit P0 (<italic>RPLPO</italic>) and actin beta (<italic>ACTB</italic>) were selected as reference genes to minimize the standard deviation (SD) of expression. lncRNAs were considered differentially expressed if the fold change was &gt;2 or &lt;0.5.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>P-values were calculated between two groups (10 preterm and 10 full-term breastmilk samples) using the t-test in programming language R (package 'stats', version 4.2.0) and the statistical significance threshold was set to 0.05. The correlation of expression was estimated using Pearson's coefficient which reflects the linear correlation between two variables accounting for differences in their mean and SD.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<p>Isolated exosomes from human breastmilk samples from mothers who gave birth at term or preterm were labeled as positive for two common exosomal tetraspanins, CD9 and CD63, using western blot analysis (<xref rid="f1-ijmm-48-06-05049" ref-type="fig">Fig. 1A</xref>). To examine exosome purity, western blot analysis was performed for cytochrome-b5 type b, a common cell marker of the outer mitochondrial membrane. The results revealed that the cells were positive for cytochrome-b5 type b, while the exosomes exhibited no signal, thus suggesting no evidence of cell contamination. To further characterize the composition of the exosomes in the present study, western blot analysis was performed using an antibody against CD63 as an additional positive tetraspanin marker for exosomes. Again, the exosome lysates were positive for CD63. Of note, the CD9 protein levels in the exosomes derived from the breastmilk of mothers who delivered preterm were markedly higher compared with those in the breastmilk from mothers who delivered at term, even though equal protein quantities of whole exosome lysates were loaded to the gel. Subsequently, exosomal RNA extraction from all samples was performed. To address the issue regarding the size and morphology of exosomes derived from breastmilk from mothers who delivered at term and preterm, electron micros-copy was performed. The results indicated that the exosomes isolated from breastmilk exhibited the classical 'doughnut' morphology due to the surrounding lipid bilayer and their size was between 50-100 nm (<xref rid="f1-ijmm-48-06-05049" ref-type="fig">Fig. 1B</xref>). The demographic and anthropometric characteristics of the mothers, as well their children, are presented in <xref rid="f1-ijmm-48-06-05049" ref-type="fig">Fig. 1C</xref>.</p>
<p>In order to study the lncRNA cargo of human breastmilk-derived exosomes, 20 RNA samples were isolated from exosomes of 10 breastmilk samples obtained from mothers who delivered at term (&#x02265;37 weeks of gestation) and an equal number of samples from mothers with preterm birth (&lt;37 weeks of gestation). Subsequently, RNA samples were analyzed using RT-qPCR. The analysis was performed using a customized panel of targets against lncRNAs with well documented roles in the inflammatory response and auto-immunity, as well as selected lncRNAs that were previously reported to be significantly detected in human breastmilk-derived exosomes (<xref rid="b12-ijmm-48-06-05049" ref-type="bibr">12</xref>). Following RT-qPCR, 76 out of 88 lncRNAs were detected in at least one sample. Furthermore, 31 lncRNAs were detected as an exosomal load in &#x02265;50% of the samples (<xref rid="f1-ijmm-48-06-05049" ref-type="fig">Fig. 1D</xref>). Importantly, 13 lncRNAs were consistently detected in the breastmilk-derived exosomes in &#x02265;85% of the samples (<xref rid="tI-ijmm-48-06-05049" ref-type="table">Table I</xref>). The biological functions of these lncRNAs are presented in detail at <xref ref-type="supplementary-material" rid="SD1-ijmm-48-06-05049">Table SI</xref>.</p>
<p>In the heatmap analysis of the normalized expression levels of selected lncRNAs detected in &#x02265;50% of the samples (<xref ref-type="supplementary-material" rid="SD1-ijmm-48-06-05049">Fig. S1</xref>), GAS5 lncRNA exhibited the highest degree of loading levels in the breastmilk exosomes among all the lncRNAs analyzed. Following the correlation heatmap analysis of the normalized expression data, two clusters of lncRNAs were identified as differentially co-detected across samples (<xref rid="f2-ijmm-48-06-05049" ref-type="fig">Fig. 2A</xref>). The first cluster (blue color) included 10 lncRNAs &#x0005B;<italic>CTC-444N24.11</italic>, <italic>LINC00657</italic>, <italic>NCBP2-AS2</italic>, <italic>CRNDE</italic>, <italic>HCG11</italic>, small nucleolar RNA host gene (<italic>SNHG16</italic>), <italic>GAS5</italic>, <italic>EBP41L4A-AS1</italic>, <italic>SNHG5</italic> and <italic>ZFAS1</italic>&#x0005D; exhibiting a positive intergroup expression correlation and a negative correlation with the majority of the remaining lncRNAs. In the aforementioned group, 7 out of the 10 lncRNAs co-loaded in the breastmilk exosomes were detected consistently across the samples (&#x02265;85%). The second cluster (orange color) included a much larger subset of lncRNAs (<italic>HOTAIR</italic>, <italic>MEG3</italic>, <italic>RP11-282018.3</italic>, <italic>DANCR</italic>, <italic>RP11-363G2.4</italic>, <italic>SNORA73A</italic>, <italic>RP11-473M20.16</italic>, <italic>RP11-498C9</italic>, <italic>RP11-84C13.1</italic>, <italic>CROCCP2</italic>, <italic>LINC00094</italic>, <italic>LINC00667</italic>, <italic>LRRC75A-AS1</italic> and <italic>RN7SK</italic>); six of these (<italic>DANCR</italic>, <italic>LINC00094</italic>, <italic>LINC00667</italic>, <italic>SNORA73A</italic>, <italic>LRRC75A-AS1</italic> and <italic>RN7SK</italic>) were consistently detected in &#x02265;85% of the samples.</p>
<p>This study then aimed to cross-validate these two novel opposing correlation patterns by analyzing only the 13 lncRNAs with the highest frequency across samples (&#x02265;85% of samples) (<xref rid="f2-ijmm-48-06-05049" ref-type="fig">Fig. 2B</xref>). Correlation analysis again revealed the existence of two distinct loading lncRNA patterns in the breastmilk-derived exosomes with a strong inverted correlation. More precisely, six lncRNAs (<italic>GAS5</italic>, <italic>SNHG5</italic>, <italic>ZFAS1</italic>, <italic>LINC00657</italic>, <italic>SNHG16</italic> and <italic>CRNDE</italic>) formed a prominent group of abundantly co-detected lncRNAs that exhibited strong negative correlation with a subset of four different lncRNAs (<italic>DANCR</italic>, <italic>LINC00094</italic>, <italic>LINC00667</italic> and <italic>SNORA73A</italic>) that formed the core of the second cluster of abundantly co-detected lncRNAs (<xref rid="f2-ijmm-48-06-05049" ref-type="fig">Fig. 2C</xref>). The identification of two differentially co-detected sub-sets of lncRNA cargo in breastmilk-derived exosomes may indicate their co-regulation and common loading in the same breastmilk-derived exosomes, in a distinct and mutual exclusive manner across samples.</p>
<p>A differential expression analysis of the lncRNAs loaded in the exosomes of breastmilk samples from mothers who delivered preterm compared to those who delivered at term was conducted. The results were obtained as a volcano plot of the log2 fold change of lncRNAs (<xref rid="f3-ijmm-48-06-05049" ref-type="fig">Fig. 3A</xref>) and corresponding values for statistical significance (P-value; &#x02212;log<sub>10</sub>P) (up- and downregulated lncRNAs are presented in <xref ref-type="supplementary-material" rid="SD1-ijmm-48-06-05049">Tables SII and SIII</xref>, respectively). In total, nine lncRNAs exhibited at least &#x02265;1 log<sub>2</sub> fold change (one upregulated and eight down-regulated lncRNAs), which indicated that their levels were at least 2-fold up- or downregulated in the breastmilk of mothers who delivered prematurely compared to those who gave birth at term. In addition, one lncRNA (LRRC37BP1) was upregulated at least 2-fold, although with no statistically significant difference (t-test P-value=0.333, log<sub>2</sub> fold change=1.076). By contrast, out of the eight downregulated lncRNAs with &#x02265;1 log<sub>2</sub> fold change, two exhibited statistically significant differences (t-test P-value &#x02264;0.05). Thus, the levels of exosomal lncRNAs appeared to be mostly downregulated in the breastmilk of mothers who delivered preterm. <italic>LINC00657</italic> (<italic>NORAD</italic>) (P-value=0.034, log<sub>2</sub> fold change=&#x02212;1.00) was the only lncRNA in the current panel that was consistently detected in &#x02265;85% of the samples, clustering well together with previously reported lncRNAs in breastmilk-derived exosomes and exhibiting a statistically significant difference (&#x02265;2-fold downregulation).</p>
<p>Likewise, lncRNA <italic>CRNDE</italic> was downregulated in the exosomes of breastmilk-from mothers who delivered preterm, although with a fractionally acceptable P-value of 0.052 (log<sub>2</sub> fold change=&#x02212;1,14), while <italic>CTC-444N24.11</italic> was downregulated with a log<sub>2</sub> fold change of -1.521 and a P-value of 0.048. However, <italic>CTC-444N24.11</italic> was detected only in 50% of the samples. By contrast, <italic>LRRC75A-AS1</italic> was upregulated with a statistically significant difference (P-value=0.045), albeit it exhibited a &lt;2-fold chance (log<sub>2</sub> fold change=0.713). More specifically, the expression levels of the four lncRNAs which exhibited statistically significant differences (<italic>LINC00657</italic>, <italic>CTC-444N24.11</italic>, <italic>CRNDE</italic> and <italic>LRRC75A-AS1</italic>) across all samples, in both the term and preterm group, are presented in bar plots in <xref rid="f3-ijmm-48-06-05049" ref-type="fig">Fig. 3B</xref>. The lncRNAs <italic>LINC00657</italic> (<italic>NORAD</italic>) and <italic>CRNDE</italic> were both found to be: i) Detected in &#x02265;85% of the samples; ii) downregulated &#x02265;2-fold in exosomes in breastmilk from mothers who delivered preterm compared to those who delivered at term; and iii) positively correlated with a signature of abundantly detected lncRNAs composed of previously reported, as well as newly identified lncRNAs. Based on the aforementioned results, it was reported that lncRNA <italic>NORAD</italic> was downregulated in a statistically significant manner in exosomes in breastmilk from mothers who gave birth prematurely while it was, consistently and specifically, co-detected in breastmilk-derived exosomes. The findings described above suggest that lncRNA <italic>NORAD</italic> represents a specific loading signature of lncRNA cargo in breastmilk-derived exosomes (lncRNAs positively and negatively correlated with <italic>NORAD</italic> levels in breastmilk exosomes are presented in <xref ref-type="supplementary-material" rid="SD1-ijmm-48-06-05049">Table SIV</xref>).</p></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Breastmilk is abundant in exosomes/EVs that have a higher propensity for therapeutic effects, while also having the potential to be easily administered clinically (<xref rid="b25-ijmm-48-06-05049" ref-type="bibr">25</xref>). In addition, milk-derived exosomes exhibit an increased survivability following simulated gastric/pancreatic digestion (<xref rid="b26-ijmm-48-06-05049" ref-type="bibr">26</xref>). There is emerging evidence to indicate that exosome-encapsulated RNAs can regulate target cell pathways related to cellular growth, division, differentiation, stress response, survival, apoptosis, metabolism and immunity (<xref rid="b14-ijmm-48-06-05049" ref-type="bibr">14</xref>). Recent discoveries have revealed the presence of lncRNAs in breastmilk-derived exosomes, with well-documented roles in development (<xref rid="b12-ijmm-48-06-05049" ref-type="bibr">12</xref>). In addition, it has been demonstrated that the protein levels of CD9, CD63 and CD81 tetraspanins are consistently higher in exosomes in breastmilk from mothers who deliver preterm compared to those in breastmilk from mothers who delivered at term. The increased CD9 expression observed in breastmilk from mothers who deliver preterm may constitute an additional signature of preterm birth that reflects the difference in EV constitution and it remains to be determined if it plays a functional role in mother-child communications (<xref rid="b27-ijmm-48-06-05049" ref-type="bibr">27</xref>). In the present study, 13 key lncRNAs were consistently and robustly detected in exosomes across 85% of all breastmilk samples, reaffirming the findings of the study by Karlsson <italic>et al</italic> (<xref rid="b12-ijmm-48-06-05049" ref-type="bibr">12</xref>), but also significantly expanding the list to include lncRNAs with well-documented roles in inflammation, auto-immunity, metabolism, cell cycle control and cell differentiation, and thus in the development of neonates. Among these, ten lncRNAs (<italic>CTC-444N24.11</italic>, <italic>LINC00657</italic>, <italic>NCBP2-AS2</italic>, <italic>CRNDE</italic>, <italic>HCG11</italic>, <italic>SNHG16</italic>, <italic>GAS5</italic>, <italic>EBP41L4A-AS1</italic>, <italic>SNHG5</italic> and <italic>ZFAS1</italic>) were highly expressed concurrently in all samples, and importantly, they belong to the same gene cluster, suggesting their highly positive correlation. The correlation of expression regarding lncRNAs detected in &#x02265;50% of the samples revealed two distinct clusters that negatively correlated with each other. Namely, the increased expression levels of the first cluster signify decreased levels of the second one. The lncRNAs of each cluster exhibited a positive correlation among them, reflecting a potential regulatory mechanism of lncRNA loading to breastmilk exosomes. These results are likely to be related to the function of each lncRNA, as it can be hypothesized that lncRNAs of the same cluster employ similar function at recipient cells, in this case, contributing to the development of infants.</p>
<p><italic>GAS5</italic> was the most highly expressed lncRNA in breastmilk-derived exosomes. <italic>GAS5</italic> is known to be activated in response to growth arrest and cellular starvation due to lack of nutrients or growth factors. It functions as a riborepressor, regulating glucocorticoid receptor, by binding to its DNA binding domain through glucocorticoid response element (<xref rid="b28-ijmm-48-06-05049" ref-type="bibr">28</xref>). Importantly, GAS5 is involved in immunity and plays a vital role in moderating the normal growth arrest of T-cells and non-transformed lymphocytes, as well as macrophage polarization (<xref rid="b29-ijmm-48-06-05049" ref-type="bibr">29</xref>,<xref rid="b30-ijmm-48-06-05049" ref-type="bibr">30</xref>). Consequently, GAS5 appears to play an essential role in programming the neonatal immune system. Furthermore, the present study provides new insight on the differential content of lncRNAs in EVs from breastmilk obtained from mothers who delivered at term compared to those who delivered preterm. In total, eight lncRNAs were downregulated, having at least &#x02265;1 log<sub>2</sub> fold change, while only one lncRNA was found to be upregulated in the breastmilk of mothers who delivered prematurely. <italic>LRRC75A-AS1</italic> was only marginally upregulated, but exhibited a statistically significant difference (P-value=0.045). LRRC75A-AS1, also known as SNHG29, has previously been shown to be associated with spontaneous preterm birth. According to the study by Jiang <italic>et al</italic> (<xref rid="b31-ijmm-48-06-05049" ref-type="bibr">31</xref>), oxidative stress regulates SNHG29, which in turn accelerates cellular senescence and triggers pro-inflammatory cytokine release from senescent cells. <italic>SNHG29</italic> was found to be upregulated in the placentas of women who underwent preterm labor (<xref rid="b31-ijmm-48-06-05049" ref-type="bibr">31</xref>). Thus, the results of the present study further strengthen the association between SNHG29 and preterm birth.</p>
<p>Among the lncRNAs found to be downregulated in the exosomes in breastmilk from mothers who delivered prematurely, three (<italic>LINC00657</italic>, <italic>CTC-444N24.11</italic> and <italic>CRNDE</italic>) were downregulated in a statistically significant manner; notably, they belong to the same cluster, thus indicating that a common suppression mechanism(s) may be responsible for their differential regulation in exosomes in breastmilk from mothers who delivered preterm. lncRNA <italic>CTC-444N24.11</italic> was found to be significantly downregulated with a &#x02265;2-fold change (P-value=0.048) in the breastmilk of mothers who delivered preterm birth compared to those who delivered at term. To date, the role of CTC-444N24.11 remains unknown, while by reviewing the literature no data were found exclusively for <italic>CTC-444N24.11</italic>. In a recent bioinformatics analysis of miRNA expression in retinopathy of prematurity (ROP), <italic>CTC-444N24.11</italic> was indicated as a target of miRNA-128-3p, which was downregulated in premature infants with ROP (<xref rid="b32-ijmm-48-06-05049" ref-type="bibr">32</xref>). <italic>CRNDE</italic> was also found to display a &#x02265;2-fold differential expression and can be referred to as a marginally significant (P-value=0.052) differentially expressed lncRNA. CRNDE is a central regulator of glucose and lipid metabolism, while it is regulated by insulin and insulin growth factors (<xref rid="b33-ijmm-48-06-05049" ref-type="bibr">33</xref>). It regulates cyclin D1 and consequently, normal cell division (<xref rid="b34-ijmm-48-06-05049" ref-type="bibr">34</xref>). Its role in normal cellular developmental and pluripotency (<xref rid="b35-ijmm-48-06-05049" ref-type="bibr">35</xref>) possibly indicates the importance of its presence in breastmilk in normal infant's development.</p>
<p>Only <italic>LINC00657</italic> was found to be ubiquitously detected in breastmilk-derived exosomes and was also significantly downregulated (&#x02265;2 fold change) in breastmilk form mothers who delivered preterm. LINC00657 is a long intergenic ncRNA named <italic>NORAD</italic> (HGNC ID), for non-coding RNA activated by DNA damage. NORAD is a cytoplasmic lncRNA, and is one of the most abundant and highly conservative lncRNAs among mammalian cells and species, respectively (<xref rid="b36-ijmm-48-06-05049" ref-type="bibr">36</xref>). Of note, due to tandem sequence duplication that occurred during evolutional processes, NORAD consists of 12 repeated units, which facilitate its function (<xref rid="b37-ijmm-48-06-05049" ref-type="bibr">37</xref>). NORAD is referred to as the guardian of genome, while mounting evidence suggests its crucial role in maintaining genome stability. NORAD binds Pumilio RNA-binding proteins (PUM 1 and PUM 2), functioning as a decoy, and inhibits them from repressing their mRNA targets, which are key regulators of DNA repair and replication, mitosis and mitochondrial homeostasis (<xref rid="b38-ijmm-48-06-05049" ref-type="bibr">38</xref>,<xref rid="b39-ijmm-48-06-05049" ref-type="bibr">39</xref>). In addition, NORAD functions as scaffold, interacting with RNA binding motif protein X-linked (RBMX), a component of DNA damage response, and mediates the assembly of a ribonucleoprotein complex &#x0005B;NORAD-activated ribonucleoprotein complex 1 (NARC1)&#x0005D;, which contains the known suppressors of genomic instability topoisomerase I (TOP1), Aly/REF export factor (ALYREF) and the pre-mRNA processing factor 19 (PRPF19)-cell division cycle 5 like (CDC5L) complex (<xref rid="b40-ijmm-48-06-05049" ref-type="bibr">40</xref>). Another study revealed the role of NORAD in regulating nuclear translocation and signal transduction. More precisely, NORAD interacts with importin-&#x003B2;1 and therefore, regulates Smad translocation into the nucleus and TGF-&#x003B2; signaling (<xref rid="b41-ijmm-48-06-05049" ref-type="bibr">41</xref>).</p>
<p>The existence of lncRNA NORAD in exosomes may serve as an important signaling molecule in the adaptive responses of the infant after birth to hypoxic conditions. NORAD lncRNA has been found to be upregulated during hypoxic conditions (<xref rid="b42-ijmm-48-06-05049" ref-type="bibr">42</xref>) and as such, NORAD can participate in the adaptive mechanism of the newborns during the perinatal period; i.e., to combat the high levels of oxygen to which they are exposed after birth. Failure to adapt to higher-than-normal levels of oxygen leads to the induction of oxidative stress and the generation of reactive oxygen species (<xref rid="b43-ijmm-48-06-05049" ref-type="bibr">43</xref>). Critically, previous research point towards a higher level of oxidative stress in preterm newborns than those born full-term (<xref rid="b43-ijmm-48-06-05049" ref-type="bibr">43</xref>) due to immature and not fully developed respiratory, digestive, immune and antioxidant defense systems. Thus, the downregulation of lncRNA NORAD in the breastmilk of mothers who delivered prematurely in the present study, is in line with the findings of previous research reporting elevated levels of oxidative stress biomarkers (8-OHdG, hydroperoxide, malondialdehyde, etc.) and a lower activity of antioxidant enzymes (superoxide dismutase, glutathione peroxidase, etc.) in preterm babies. Importantly, the formula feeding of preterm infants has been associated with higher levels of oxidative stress than breastmilk feeding and, as such, the existence of NORAD in exosomes together with the known nutritional antioxidant content of breast milk may help the newborn to adapt to the higher levels of oxidative stress (<xref rid="b43-ijmm-48-06-05049" ref-type="bibr">43</xref>). Thus, NORAD may be an important therapeutic target with notable consequences for premature infants who exhibit higher levels of OS (<xref rid="b43-ijmm-48-06-05049" ref-type="bibr">43</xref>).</p>
<p>It is important to take into consideration the limitations of the present study. The main limitation is the small number of samples used. However, these are preliminary results. Larger numbers of breastmilk samples are required to increase the statistical validity of the results presented herein. Another limitation in determining lncRNA expression levels involves the lack of an accurate exosomal reference gene. Nevertheless, two genes Actin and RPLP0 were used as reference genes in order to diminish the possibility of false results (i.e., based on randomness). The currents findings provide some insight into the upcoming field of exosomal research, breaking new ground and providing promising evidence in understanding the role of epigenetic mechanisms, providing a good starting point for discussion and future research. Integrated high-throughput technologies can complement the results of the present study by elucidating the type of physiological complexity with higher precision. Translating these technologies into clinical practice in the form of a non-invasive tests will help realize in the near future, the personalization of medicine. Even though the miRNA transcriptome of exosomes in human breastmilk has been uncovered (<xref rid="b13-ijmm-48-06-05049" ref-type="bibr">13</xref>,<xref rid="b22-ijmm-48-06-05049" ref-type="bibr">22</xref>,<xref rid="b23-ijmm-48-06-05049" ref-type="bibr">23</xref>) and the miRNA expression dynamics between full-term and preterm breastmilk's lipid fractions have been characterized (<xref rid="b26-ijmm-48-06-05049" ref-type="bibr">26</xref>,<xref rid="b44-ijmm-48-06-05049" ref-type="bibr">44</xref>), the exosome-enriched lncRNA populations in the two groups mentioned above remain unknown.</p>
<p>Not with standing these limitations, the present study validates and expands previous findings that specific lncRNAs are loaded in EVs derived from breastmilk, possibly by a common regulatory mechanism, and are thus, detected together in a highly correlated manner. NORAD appears to belong to the same loading/regulatory mechanism; however, it represents the first lncRNA to date, whose levels are differentially regulated and significantly suppressed in human breastmilk from mothers who delivered prematurely. The absence of NORAD among others, such as impaired mitotic division, mitochondrial dysfunction, premature cell aging and neuronal dysfunction, contributes to replication-related stress and DNA damage. If further validated as true, a significant downregulation of NORAD exosomal cargo in the breastmilk of mothers who deliver preterm may serve as an exosomal biomarker for replication-related stress and may be associated with inflammatory and immune responses in preterm infants. Finally, NORAD may be directly used as a therapeutic agent. It could be reverse-engineered to be enriched in exosomes from human mammary stem cells isolated from mother's own breastmilk and added even on a given milk formula.</p>
<p>In conclusion, breastmilk-derived exosomes are important mediators of communication between mother and child, while lncRNAs may play a crucial role in neonatal growth and development, in a short- and long-term manner. Collectively, the data presented herein reveal the consistent co-detection of lncRNAs that are implicated in several key processes, such as immune system development, metabolism and cell cycle control, as well as providing a potential mechanism regarding their load in breastmilk-derived EVs in a highly correlated manner. To the best of our knowledge, this is the first study to analyze the differential expression of lncRNAs in breastmilk between term and preterm mothers. NORAD is a lncRNA involved in the DNA damage response and repair pathway, referred to as the guardian of the human genome and among others, found to be significantly downregulated at least 2-fold in the breastmilk of preterm mothers. Broadly translated, this result indicates that the absence of NORAD may serve as an exosomal biomarker for replication-related stress in preterm infants. Notably, NORAD and other lncRNAs could be produced by reverse-engineering and added to breastmilk or other milk formulas and may function therapeutically in preterm infants. Future research is required to analyze lncRNA expression and function in breastmilk from mothers who deliver at term compared to those who deliver preterm on a larger scale. This will possibly shed more light on lncRNA involvement and impact on children's development and health.</p></sec>
<sec sec-type="supplementary-material">
<title>Supplementary Data</title>
<supplementary-material id="SD1-ijmm-48-06-05049" content-type="local-data">
<media xlink:href="Supplementary_Data.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material></sec></body>
<back>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The RT-qPCR data &#x0005B;Cq values (raw data)&#x0005D; corresponding to exosomes from breastmilk samples that support the findings of this study are available in figshare public databases (<ext-link xlink:href="https://doi.org/10.6084/m9.figshare.16635592" ext-link-type="uri">https://doi.org/10.6084/m9.figshare.16635592</ext-link>).</p></sec>
<sec sec-type="other">
<title>Authors' contributions</title>
<p>TS, AG, AS and GPC were involved in the conceptualization of the study. AG, NM, DV, MP, TS and GPC were involved in the study methodology. AG, NM, EK, AK, GL, GB, MT and AT were involved in formal analysis (data acquisition, data analysis and in the experiments). AG, TS, AS, NM, EK, DV and GPC were involved in the writing and preparation of the original draft. AG, MT, AT, GB, DV and GPC were involved in the writing, reviewing and editing of the manuscript. GPC and AG were responsible for the acquisition of funding and confirm the authenticity of all the raw data. All authors have read and agreed to the published version of the manuscript.</p></sec>
<sec sec-type="other">
<title>Ethics approval and consent to participate</title>
<p>The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of General Hospital 'Agia Sophia' (protocol code, 24814; date of approval, October 30, 2017). Informed consent was obtained from all subjects involved in the study.</p></sec>
<sec sec-type="other">
<title>Patient consent for publication</title>
<p>Not applicable.</p></sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>Not applicable.</p></ack>
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<floats-group>
<fig id="f1-ijmm-48-06-05049" position="float">
<label>Figure 1</label>
<caption>
<p>Exosome characterization. (A) Isolated exosomes from human breastmilk samples from mothers who delivered at term or preterm were labeled as positive for two common exosomal tetraspanins, CD9 and CD63, and negative for a protein of outer mitochondrial membrane, cytochrome-b5 type b, using western blot analysis. (B) Size and morphology of exosomes in breastmilk from mothers who delivered at term and preterm. (C) Demographic and anthropometric characteristics of the mothers and infants studied. (D) Panel showing the expression patterns of all lncRNAs detected in &#x02265;50% of the samples. Cells with blue color represent samples where lncRNAs were detected using reverse transcription-quantitative PCR with &lt;40 Cq values, while cells with white color represent samples with undetected lncRNAs (&gt;40 Cq value). lncRNAs were sorted according to their Cq values, beginning with lncRNAs that were most frequently detected. lncRNAs located on the left of the red dashed line were detected at least in 85% of all samples. lncRNA, long non-coding RNA.</p></caption>
<graphic xlink:href="IJMM-48-06-05049-g00.tif"/></fig>
<fig id="f2-ijmm-48-06-05049" position="float">
<label>Figure 2</label>
<caption>
<p>Reverse transcription-quantitative PCR-based expression of lncRNAs. (A) Correlation heatmap of normalized expression data for lncRNAs detected in &#x02265;50% of the samples. Pearson's correlation analysis was used among the 31 lncRNAs to reveal the co-expression patterns of lncRNAs, while hierarchical cluster illustrates grouping patterns. Positive correlations are marked in blue and negative ones in red. (B) Heatmap of normalized expression levels of lncRNAs detected in &#x02265;85% of samples. lncRNA expression levels are represented in blue (higher expression). (C) Correlation heatmap of normalized expression data for lncRNAs detected in &#x02265;85% of the samples. lncRNA, long non-coding RNA.</p></caption>
<graphic xlink:href="IJMM-48-06-05049-g01.tif"/></fig>
<fig id="f3-ijmm-48-06-05049" position="float">
<label>Figure 3</label>
<caption>
<p>Differential lncRNA expression analysis in breastmilk samples between mothers who delivered preterm and at full-term. (A) Volcano plot showing the degree of differential expression. Log<sub>2</sub>(fold change) for expression is plotted on the x-axis, whereas the negative log<sub>10</sub>(P-value) is displayed on the y-axis. Vertical red lines delineate a 2-fold change (log<sub>2</sub> fold change, &#x02265;1 or &#x02264;-1) and each point represents one lncRNA. NS (grey), non-significant fold change (log<sub>2</sub> fold change, &#x02264;1 or &#x02265;-1); log<sub>2</sub>FC (green), significant fold change but non-significant P-value; P-value (blue), non-significant fold change, but significant P-value; P-value and log<sub>2</sub>FC (red), both fold change and P-value were significant). P-value &lt;0.05 (horizontal red line) was considered to indicate a statistically significant difference. (B) Bar graph representations of per sample lncRNA normalized expression for full-term (blue) and preterm (red) groups. The top 4 differentially? expressed lncRNAs according to P-value are depicted in this plot. The horizontal dashed line represents the median value of expression for each group. lncRNA, long non-coding RNA.</p></caption>
<graphic xlink:href="IJMM-48-06-05049-g02.tif"/></fig>
<table-wrap id="tI-ijmm-48-06-05049" position="float">
<label>Table I</label>
<caption>
<p>lncRNA expression levels detected in &gt;85% of the breastmilk samples from mothers who delivered preterm and or at full-term.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">lncRNA ID</th>
<th valign="top" align="center">Mean &#x00394;cq preterm (&#x000B1; SD)</th>
<th valign="top" align="center">Mean &#x00394;cq full-term (&#x000B1; SD)</th>
<th valign="top" align="center">Sample no.</th>
<th valign="top" align="center">Log<sub>2</sub> fold change</th>
<th valign="top" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">LINC00657</td>
<td valign="top" align="left">3.78 (&#x000B1;0.61)</td>
<td valign="top" align="left">2.79 (&#x000B1;1.44)</td>
<td valign="top" align="left">19/20</td>
<td valign="top" align="left">&#x02212;0.996</td>
<td valign="top" align="left">0.034</td></tr>
<tr>
<td valign="top" align="left">LRRC75A-AS1</td>
<td valign="top" align="left">2.90 (&#x000B1;0.65)</td>
<td valign="top" align="left">3.62 (&#x000B1;0.95)</td>
<td valign="top" align="left">17/20</td>
<td valign="top" align="left">0.713</td>
<td valign="top" align="left">0.045</td></tr>
<tr>
<td valign="top" align="left">CRNDE</td>
<td valign="top" align="left">3.35 (&#x000B1;1.00)</td>
<td valign="top" align="left">2.20 (&#x000B1;1.83)</td>
<td valign="top" align="left">20/20</td>
<td valign="top" align="left">&#x02212;1.144</td>
<td valign="top" align="left">0.052</td></tr>
<tr>
<td valign="top" align="left">SNHG16</td>
<td valign="top" align="left">4.55 (&#x000B1;0.60)</td>
<td valign="top" align="left">4.13 (&#x000B1;0.78)</td>
<td valign="top" align="left">20/20</td>
<td valign="top" align="left">&#x02212;0.413</td>
<td valign="top" align="left">0.102</td></tr>
<tr>
<td valign="top" align="left">ZFAS1</td>
<td valign="top" align="left">1.78 (&#x000B1;0.76)</td>
<td valign="top" align="left">1.24 (&#x000B1;1.09)</td>
<td valign="top" align="left">20/20</td>
<td valign="top" align="left">&#x02212;0.541</td>
<td valign="top" align="left">0.108</td></tr>
<tr>
<td valign="top" align="left">SNHG5</td>
<td valign="top" align="left">1.49 (&#x000B1;0.57)</td>
<td valign="top" align="left">0.86 (&#x000B1;1.79)</td>
<td valign="top" align="left">20/20</td>
<td valign="top" align="left">&#x02212;0.629</td>
<td valign="top" align="left">0.156</td></tr>
<tr>
<td valign="top" align="left">SNORA73A</td>
<td valign="top" align="left">6.73 (&#x000B1;1.88)</td>
<td valign="top" align="left">6.12 (&#x000B1;1.77)</td>
<td valign="top" align="left">17/20</td>
<td valign="top" align="left">&#x02212;0.617</td>
<td valign="top" align="left">0.251</td></tr>
<tr>
<td valign="top" align="left">DANCR</td>
<td valign="top" align="left">5.51 (&#x000B1;1.17)</td>
<td valign="top" align="left">5.77 (&#x000B1;0.85)</td>
<td valign="top" align="left">18/20</td>
<td valign="top" align="left">0.256</td>
<td valign="top" align="left">0.299</td></tr>
<tr>
<td valign="top" align="left">LINC00667</td>
<td valign="top" align="left">5.84 (&#x000B1;1.55)</td>
<td valign="top" align="left">6.06 (&#x000B1;1.30)</td>
<td valign="top" align="left">18/20</td>
<td valign="top" align="left">0.221</td>
<td valign="top" align="left">0.373</td></tr>
<tr>
<td valign="top" align="left">GAS5</td>
<td valign="top" align="left">1.64 (&#x000B1;1.92)</td>
<td valign="top" align="left">1.39 (&#x000B1;1.55)</td>
<td valign="top" align="left">20/20</td>
<td valign="top" align="left">&#x02212;0.251</td>
<td valign="top" align="left">0.376</td></tr>
<tr>
<td valign="top" align="left">EBP41L4A-AS1</td>
<td valign="top" align="left">5.61 (&#x000B1;0.99)</td>
<td valign="top" align="left">5.44 (&#x000B1;1.63)</td>
<td valign="top" align="left">19/20</td>
<td valign="top" align="left">&#x02212;0.169</td>
<td valign="top" align="left">0.393</td></tr>
<tr>
<td valign="top" align="left">LINC00094</td>
<td valign="top" align="left">6.17 (&#x000B1;1.42)</td>
<td valign="top" align="left">6.25 (&#x000B1;0.94)</td>
<td valign="top" align="left">19/20</td>
<td valign="top" align="left">0.080</td>
<td valign="top" align="left">0.443</td></tr>
<tr>
<td valign="top" align="left">RN7SK</td>
<td valign="top" align="left">4.89 (&#x000B1;1.24)</td>
<td valign="top" align="left">4.84 (&#x000B1;1.12)</td>
<td valign="top" align="left">17/20</td>
<td valign="top" align="left">&#x02212;0.047</td>
<td valign="top" align="left">0.468</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijmm-48-06-05049">
<p>lncRNA, long non-coding RNA.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
