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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="publisher-id">1506169</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2025.1506169</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Investigation of the role of miRNA variants in neurodegenerative brain diseases</article-title>
<alt-title alt-title-type="left-running-head">Frydas et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fgene.2025.1506169">10.3389/fgene.2025.1506169</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Frydas</surname>
<given-names>Alexandros</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author">
<name>
<surname>Cacace</surname>
<given-names>Rita</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>van der Zee</surname>
<given-names>Julie</given-names>
</name>
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<sup>1</sup>
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<sup>2</sup>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Van Broeckhoven</surname>
<given-names>Christine</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wauters</surname>
<given-names>Eline</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<sup>&#x2020;</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>VIB Center for Molecular Neurology</institution>, <addr-line>Antwerp</addr-line>, <country>Belgium</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biomedical Sciences</institution>, <institution>University of Antwerp</institution>, <addr-line>Antwerp</addr-line>, <country>Belgium</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1597331/overview">Kenneth Land</ext-link>, Duke University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/575017/overview">Claudia Strafella</ext-link>, Santa Lucia Foundation (IRCCS), Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2826833/overview">Li Guan</ext-link>, Guangzhou Medical University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Alexandros Frydas, <email>alexandros.frydas@uantwerpen.vib.be</email>, <email>alexandros.frydas@kcl.ac.uk</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors share last authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1506169</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Frydas, Cacace, van der Zee, Van Broeckhoven and Wauters.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Frydas, Cacace, van der Zee, Van Broeckhoven and Wauters</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>miRNAs are small noncoding elements known to regulate different molecular processes, including developmental and executive functions in the brain. Dysregulation of miRNAs could contribute to brain neurodegeneration, as suggested by miRNA profiling studies of individuals suffering from neurodegenerative brain diseases (NBDs). Here, we report rare miRNA variants in patients with Alzheimer&#x2019;s dementia (AD) and frontotemporal dementia (FTD).</p>
</sec>
<sec>
<title>Methods</title>
<p>We initially used whole exome sequencing data in a subset of FTD patients (n &#x3d; 209) from Flanders-Belgium. We then performed targeted resequencing of variant-harboring miRNAs in an additional subset of FTD patients (n &#x3d; 126) and control individuals (n &#x3d; 426). Lastly, we sequenced the <italic>MIR885</italic> locus in a Flanders-Belgian AD cohort (n &#x3d; 947) and a total number of n &#x3d; 755 controls.</p>
</sec>
<sec>
<title>Results</title>
<p>WES identified rare seed variants in <italic>MIR656, MIR423, MIR122 and MIR885</italic> in FTD patients. Most of these miRNAs bind to FTD-associated genes, implicated in different biological pathways. Additionally, some miRNA variants create novel binding sites for genes associated with FTD. Sequencing of the <italic>MIR885</italic> locus in the AD cohort initially showed a significant enrichment of <italic>MIR885</italic> variants in AD patients compared to controls (SKAT-O, p-value &#x3d; 0.026). Genetic association was not maintained when we included sex and <italic>APOE</italic> status as covariates. Using the miRVaS prediction tool, variants rs897551430 and rs993255773 appeared to evoke significant structural changes in the primary miRNA. These variants are also predicted to strongly downregulate mature <italic>miR885</italic> levels, in line with what is reported for <italic>MIR885</italic> in the context of AD.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Functional investigation of miRNAs/variants described in this study could propose novel miRNA-mediated molecular cascades in FTD and AD pathogenicity. Furthermore, we believe that the genetic evidence presented here suggests a role for <italic>MIR885</italic> in molecular mechanisms involved in AD and warrants genetic follow-up in larger cohorts to explore this hypothesis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>frontotemporal dementia</kwd>
<kwd>Alzheimer&#x2019;s disease</kwd>
<kwd>noncoding RNA</kwd>
<kwd>miRNAs</kwd>
<kwd>rare genetic variants</kwd>
</kwd-group>
<contract-sponsor id="cn001">Fonds Wetenschappelijk Onderzoek<named-content content-type="fundref-id">10.13039/501100003130</named-content>
</contract-sponsor>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Genetics of Aging</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>MicroRNAs (miRNAs) are small (&#x2248;18&#x2013;22&#xa0;nt) noncoding single-stranded RNA molecules. They predominantly act by binding to the 3&#x2032; untranslated regions (UTRs) of complementary mRNA targets, leading to reduced target expression. Most are ubiquitously expressed in mammals, while others display tissue-specific enrichment, suggesting distinct functions in these tissues (<xref ref-type="bibr" rid="B29">Landgraf et al., 2007</xref>; <xref ref-type="bibr" rid="B37">Ludwig et al., 2016</xref>). After their transcription, miRNAs are subjected to two cleavage steps. The first takes place in the nucleus, where the complex consisting of the DGCR8 (Di George syndrome critical region gene 8) and the Drosha ribonuclease processes the primary miRNA (pri-miRNA) to the precursor miRNA (pre-miRNA). Following transport to the cytoplasm by Exportin 5&#x2032; and the Ran-GTP factor, RNA III enzyme Dicer cuts off the terminal loop to generate the mature miRNA duplex. Ultimately, one of the strands (3p and 5p miRNAs isoforms) is loaded onto the Argonaute protein of the RNA-induced silencing complex to guide it to its target mRNAs (<xref ref-type="bibr" rid="B11">Cammaerts et al., 2015b</xref>; <xref ref-type="bibr" rid="B55">Sadlon et al., 2019</xref>; <xref ref-type="bibr" rid="B68">Zeng et al., 2005</xref>).</p>
<p>The involvement of miRNAs in neurodegenerative processes has become more evident following increased research focus on the noncoding part of the genome. Expression profiling in the human brain has shown dysregulated miRNAs in neurodegenerative phenotypes, like Alzheimer&#x2019;s disease (AD) and Parkinson&#x2019;s disease (PD) (<xref ref-type="bibr" rid="B56">Schulz et al., 2019</xref>; <xref ref-type="bibr" rid="B61">Takousis et al., 2019</xref>). Similar studies in serum and plasma also showcase the use of miRNAs as diagnostic biomarkers for neurodegenerative brain diseases (NBDs) (<xref ref-type="bibr" rid="B58">Sheinerman et al., 2017</xref>), including frontotemporal dementia (FTD) (<xref ref-type="bibr" rid="B23">Grasso et al., 2019</xref>) and amyotrophic lateral sclerosis (ALS) (<xref ref-type="bibr" rid="B18">Freischmidt et al., 2015</xref>).</p>
<p>Genetic variation can impact miRNA function at different levels. For instance, mutations in 3&#x2032; UTRs can create or distort existing miRNA binding sites, leading to differential mRNA expression of the target gene. Such cases have been described for NBD-associated genes, such as &#x3b1;-synuclein in PD (<xref ref-type="bibr" rid="B27">Junn et al., 2009</xref>; <xref ref-type="bibr" rid="B60">Su et al., 2018</xref>) and progranulin (<italic>GRN</italic>) in FTD (<xref ref-type="bibr" rid="B50">Rademakers et al., 2008</xref>). Alternatively, genetic variants within miRNA genes can modulate their functions in different ways, for example, by affecting the processing during maturation or by altering the &#x201c;seed&#x201d; sequence with which the miRNA binds to its complementary mRNA target (<xref ref-type="bibr" rid="B9">Cammaerts et al., 2015a</xref>). Accordingly, meta-analyses of GWAS performed on AD and PD patients identified miRNA variants associated with disease pathogenesis (<xref ref-type="bibr" rid="B19">Ghanbari et al., 2016a</xref>; <xref ref-type="bibr" rid="B20">Ghanbari et al., 2016b</xref>).</p>
<p>In the present study, we are investigating the implication of miRNA variants in FTD. Based on a list of brain-expressed miRNAs (<xref ref-type="bibr" rid="B11">Cammaerts et al., 2015b</xref>), we are looking for miRNA variants in FTD patients with available whole exome sequencing (WES) data. We believe that our approach, focusing exclusively on variants in noncoding molecules like miRNAs, could improve our understanding of the genetic etiology of FTD, as such variation is regularly overlooked in most GWAS.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>2 Methods</title>
<sec id="s2-1">
<title>2.1 Study cohorts</title>
<sec id="s2-1-1">
<title>2.1.1 FTD cohort</title>
<p>FTD patients were sampled by members of the Belgian Neurology (BELNEU) Consortium as part of an ongoing multicenter collaborative study of neurology departments and memory clinics across Flanders-Belgium. We selected 335 unrelated FTD patients with well-documented clinical presentation (mean age at onset (AAO): 62.9 &#xb1; 10.3, range: 29&#x2013;85, 47.9% female). 15.6% of FTD patients carried a known pathogenic mutation in a causal gene for frontotemporal lobar degeneration (<italic>C9orf72, GRN, MAPT, TBK1, VCP,</italic> or <italic>CHMP2B</italic>). Clinical diagnosis of FTD was made in accordance with international consensus criteria (<xref ref-type="bibr" rid="B69">Gorno-Tempini et al., 2011</xref>; <xref ref-type="bibr" rid="B70">Rascovsky et al., 2011</xref>).</p>
</sec>
<sec id="s2-1-2">
<title>2.1.2 AD cohort</title>
<p>The AD cohort consisted of unrelated individuals recruited from neurology centers at university and general hospitals of the Flanders-Belgian region. Overall, we included 685 late-onset AD (LOAD) individuals (mean AAO: 77.9 &#xb1; 5.8, range: 66&#x2013;99, 66.7% female) and 262 early-onset AD (EOAD) individuals (mean AAO: 59.1 &#xb1; 5.4, range 37&#x2013;65, 56.4% female). Known pathogenic mutations in <italic>APP</italic>, <italic>PSEN1,</italic> or <italic>PSEN2</italic> were identified in 4 EOAD patients (0.4% of the entire cohort). Diagnosis and clinical symptoms were determined based on the diagnostic criteria of the National Institute of Neurological and Communicative Disorders and Stroke (NINCDS), the AD and Related Disorders Association (ADRDA) or the National Institute on Aging-Alzheimer&#x2019;s Association (NIA-AA, (<xref ref-type="bibr" rid="B26">Hyman et al., 2012</xref>; <xref ref-type="bibr" rid="B42">McKhann et al., 1984</xref>; <xref ref-type="bibr" rid="B43">McKhann et al., 2011</xref>)). In addition, a neuropathological diagnosis of definite AD was available for 18 EOAD and 69 LOAD patients.</p>
</sec>
<sec id="s2-1-3">
<title>2.1.3 Controls</title>
<p>To compare allelic frequencies and test for genetic associations, we also sequenced geographically matched, neurologically healthy individuals (n &#x3d; 755, age at inclusion (AAI): 69.3 &#xb1; 8.9, range: 39&#x2013;98, 67% female). At inclusion, controls were subjected to a Mini-Mental State Examination (MMSE) (score &#x3e;24) or a Montreal Cognitive Assessment test (score &#x3e; 26) (<xref ref-type="bibr" rid="B17">Folstein et al., 1975</xref>; <xref ref-type="bibr" rid="B45">Nasreddine et al., 2005</xref>). We also consulted the Healthy Exome (HEX) Database (<ext-link ext-link-type="uri" xlink:href="https://www.alzforum.org/exomes/hex">https://www.alzforum.org/exomes/hex</ext-link>), which contains WES data for 478 neurologically healthy individuals above 60&#xa0;years of age. One of the Exome Capture sequencing kits used in the HEX database was the same as the one used in-house, ensuring coverage of the regions of interest. This database was not included in any genetic association analysis. Characteristics for all cohorts are displayed in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Characteristics of the cohorts described in this study.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Status, n</th>
<th align="center">Sex, female (%)</th>
<th align="center">AAO/AAI &#xb1;SEM (range)</th>
<th align="center">N with known mutations (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">AD, 947</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;EOAD, 262<break/>&#x2003;LOAD, 685</td>
<td align="center">148 (56.4)<break/>457 (66.7)</td>
<td align="center">59.1 &#xb1; 5.4 (37&#x2013;65)<break/>77.9 &#xb1; 5.8 (66&#x2013;99)</td>
<td align="center">4 (1.5)<break/>&#x2014;</td>
</tr>
<tr>
<td align="left">FTD, 335</td>
<td align="center">161 (47.9)</td>
<td align="center">62.9 &#xb1; 10.3 (29&#x2013;85)</td>
<td align="center">52 (15.6)</td>
</tr>
<tr>
<td align="left">Controls, 755</td>
<td align="center">506 (67)</td>
<td align="center">69.3 &#xb1; 8.9 (39&#x2013;98)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">&#x2003;Subset, 426</td>
<td align="center">309 (72.5)</td>
<td align="center">67.9 &#xb1; 8.4 (43&#x2013;96)</td>
<td align="center">&#x2014;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-1-4">
<title>2.1.4 Ethical approval</title>
<p>Research participants were included in the study after obtaining written informed consent. Ethics committees of all collaborating neurological centers approved the clinical study protocols and informed consent forms. The Ethics Committee of the University Hospital of Antwerp (UZA) and the University of Antwerp (Antwerp, Belgium) approved the genetic study protocols and informed consent forms.</p>
</sec>
</sec>
<sec id="s2-2">
<title>2.2 Genetic screenings</title>
<p>We used WES data available for 209 FTD patients. WES was performed at the Neuromics Support Facility (NSF) of the VIB-UAntwerp Center for Molecular Neurology. DNA was sheared to the average size of 150&#xa0;bp (Covaris) and libraries were prepared using the KAPA HyperPrep Kit (Roche). Four libraries were pooled equimolarly and exomes were captured using the SeqCap EZ Human Exome Kit v3.0 (Roche). Exomes were sequenced on the NextSeq500 platform using the NextSeq500 High output V2 kit (Illumina). We focused on a list of 289 brain-expressed miRNAs, based on previous research investigating miRNA variants associated with schizophrenia (<xref ref-type="bibr" rid="B11">Cammaerts et al., 2015b</xref>). After literature mining, this list was complemented with 4 additional miRNAs with possible involvement in FTD (miR-659, miR-132/212 cluster and miR-663) (<xref ref-type="bibr" rid="B14">Chen-Plotkin et al., 2012</xref>; <xref ref-type="bibr" rid="B23">Grasso et al., 2019</xref>; <xref ref-type="bibr" rid="B50">Rademakers et al., 2008</xref>). The probes of the SeqCap EZ Human Exome Kit v3.0 provided coverage for 263 miRNAs (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). Over all samples, on average 97.4% of the target region was sequenced at least at 20x coverage.</p>
<p>For FTD patients for whom no WES data was available (n &#x3d; 126), we used an amplicon target amplification assay (<xref ref-type="bibr" rid="B22">Goossens et al., 2009</xref>) for the miRNAs harboring prioritized variants identified by WES. Briefly, multiplex polymerase chain reactions (PCR) were performed and purified using Agencourt AMPureXP beads (Beckman Coulter). Individual barcodes (Illumina Nextera XT) were introduced in a universal PCR step and samples were pooled, followed by massive parallel sequencing on a MiSeq platform (Illumina) at the NSF of the center.</p>
<p>Validation of the identified variants and sequencing of the AD cohort for <italic>MIR885</italic> variants was performed by Sanger sequencing on a 3730 DNA Analyzer (Applied Biosystems) using the BigDye Terminator Cycle Sequencing kit v3.1 (Applied Biosystems), followed by sequence analysis using SeqMan software (DNASTAR).</p>
</sec>
<sec id="s2-3">
<title>2.3 Bioinformatic analyses</title>
<p>For the analysis of whole exome and targeted datasets, we utilized a well-established in-house pipeline embedded in the GenomeComb package (v0.99) (<xref ref-type="bibr" rid="B53">Reumers et al., 2011</xref>). Briefly, after adapter clipping, reads were aligned to the reference genome hg19 assembly using Burrows-Wheeler Aligner MEMv0.7.15a (<xref ref-type="bibr" rid="B32">Li and Durbin, 2009</xref>). Realignment around indels was performed using GATKv3.8 UnifiedGenotyper. Following the removal of amplicon primers, variants were called and annotated using GATK and samtools (totalcoverage &#x2265; 5) (<xref ref-type="bibr" rid="B33">Li et al., 2009</xref>; <xref ref-type="bibr" rid="B41">McKenna et al., 2010</xref>). The resulting variant sets for every individual were combined, annotated and filtered (cut-offs: &#x201c;coverage depth&#x201d; &#x3e; 20, &#x201c;genotype quality&#x201d; &#x3e; 60 and &#x201c;allelic ratio&#x201d; &#x3e; 1:3 (heterozygous) or 1:9 (homozygous) using GenomeComb (<xref ref-type="bibr" rid="B53">Reumers et al., 2011</xref>). Ultimately, we ended up with 192 unique miRNA variants in the FTD cohort.</p>
<p>We prioritized WES variants based on their location within the miRNA and the minor allele frequency in public databases. Specifically, we confined our selection to rare variants (MAF &#x3c;1%) in the Genome Aggregation (GnomAD) database v2.1.1 (<xref ref-type="bibr" rid="B31">Lek et al., 2016</xref>) residing in the miRNA seed region (<xref ref-type="fig" rid="F1">Figure 1A</xref>), as it would have the most obvious impact on miRNA function. We proceeded to targeted resequencing of these miRNAs in additional FTD patients (n &#x3d; 126) and a subset of 426 healthy controls (AAI: 67.9 &#xb1; 8.4, range: 43&#x2013;96, 72.5% female) to determine frequencies of the identified variants in the FTD and control groups. Variants unique or with a higher MAF in controls compared to patients were considered benign and not investigated further. We used the miRVaS tool (<ext-link ext-link-type="uri" xlink:href="http://mirvas.bioinf.be/">http://mirvas.bioinf.be/</ext-link>, (<xref ref-type="bibr" rid="B10">Cammaerts et al., 2016</xref>)) to predict the impact of the identified variants on miRNA structure.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Impact of <italic>MIR885</italic> genetic variants on miRNA structure. <bold>(A)</bold> Linear representation and annotation of pri-miRNA. Above the bar are the annotations of miRNA regions based on the miRVaS tool. Yellow bars represent the seed sequence. Modified from <xref ref-type="bibr" rid="B10">Cammaerts et al., 2016</xref>. Below the bar are basic structural divisions based on DRCG8-Drosha processing: 1) The terminal loop, which is connected with main body of the miRNA via an apical junction, 2) upper stem which encompasses the mature miRNA sequence, 3) the lower stem which is separated from the upper stem after Drosha cleavage and 4) the basal segments, which are the single-stranded flanking regions following a basal junction at the end of the lower stem (<xref ref-type="bibr" rid="B34">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Ma et al., 2013</xref>). <bold>(B&#x2013;E)</bold> Visual output of the predicted alterations in miR-885 secondary structure for the identified genetic variants. Minimum free energy (MFE) structures shown here represent the extent of changes for <bold>(B, C)</bold> rs897551430 and <bold>(D, E)</bold> rs993255773 variants. On the left are the secondary structures in the presence of the reference alleles <bold>(B, D)</bold>, and the changes in the presence of the mutant alleles are shown on the right <bold>(C, E)</bold>. Red dots indicate the variant locations. Nucleotides with altered base pairing are shown in black.</p>
</caption>
<graphic xlink:href="fgene-16-1506169-g001.tif"/>
</fig>
<p>To test for genetic association of the rare <italic>MIR885</italic> variants (MAF &#x3c;1%) with disease, we used the optimized sequence kernel association test (SKAT-O) which is suitable for small sample sizes (<xref ref-type="bibr" rid="B30">Lee et al., 2012</xref>). Due to the small genomic regions encoding miRNAs, rare variant association (statistical power &#x3d; 0.8, significance level &#x3d; 0.05) was performed only for the AD cohort (n &#x3d; 947) against the entire control cohort (n &#x3d; 755). The initial gene-burden analysis, as well as the covariate analysis with the integrations of sex and <italic>APOE</italic> genotype, were performed in R (version 4.3.2) using the SKAT package.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Identification of miRNA variants in FTD patients</title>
<p>We identified 4 miRNA seed variants (MAF &#x3c;5%) in 4 different miRNAs in WES data of FTD patients (n &#x3d; 209, AAO: 65.2 &#xb1; 10.6) (<xref ref-type="table" rid="T2">Table 2</xref>), based on a list of brain-expressed miRNAs (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). The variants were present in 7 FTD patients. We then performed targeted resequencing of the 4 miRNAs in 126 additional FTD patients and 426 healthy controls. Results are shown in <xref ref-type="table" rid="T3">Table 3</xref>. In summary, we found the novel seed variant of <italic>MIR656</italic> in one more FTD patient. We did not find any of the seed variants of <italic>MIR885, MIR656</italic> and <italic>MIR423</italic> in control subjects. The seed variant of <italic>MIR122</italic> was identified in 7 additional patients (11 in total) and 8 controls. Subsequent case-control association analysis (chi-squared test) showed no significant differences in the calculated allelic frequencies (nominal significance &#x3d; p &#x3e; 0.05). In <italic>MIR885</italic>, we identified another variant (rs897551430) located in the arm region (<xref ref-type="fig" rid="F1">Figure 1A</xref>). This variant was found in 2 FTD patients and was absent from controls. Other pathogenic mutations in the known causal FTD genes were excluded in the FTD patients carrying miRNA seed variants or the <italic>MIR885</italic> arm variant, except for one FTD patient carrying the <italic>MIR122</italic> variant together with a <italic>C9orf72</italic> repeat expansion. Different bioinformatic tools (TargetScan v.8 (<ext-link ext-link-type="uri" xlink:href="http://www.targetscan.org/vert_80/">http://www.targetscan.org/vert_80/</ext-link>, (<xref ref-type="bibr" rid="B2">Agarwal et al., 2015</xref>; <xref ref-type="bibr" rid="B40">McGeary et al., 2019</xref>)), miRDB (<ext-link ext-link-type="uri" xlink:href="http://www.mirdb.org/">http://www.mirdb.org/</ext-link>, (<xref ref-type="bibr" rid="B13">Chen and Wang, 2020</xref>)) and miRmap v1.1 (<ext-link ext-link-type="uri" xlink:href="https://mirmap.ezlab.org/">https://mirmap.ezlab.org/</ext-link>, (<xref ref-type="bibr" rid="B65">Vejnar &#x26; Zdobnov, 2012</xref>)), predict that most miRNAs containing the identified variants bind the 3&#x2032; UTRs of causal or risk genes for frontotemporal lobar Degeneration. Next, we used miRNASNP v3 (<ext-link ext-link-type="uri" xlink:href="https://guolab.wchscu.cn/miRNASNP/">https://guolab.wchscu.cn/miRNASNP/</ext-link>, (<xref ref-type="bibr" rid="B36">Liu et al., 2021</xref>)) to examine whether the presence of the seed variants would create novel miRNA binding sites or abrogate existing sites in 3&#x2032; UTRs. For the newly identified seed variant in <italic>MIR656,</italic> we used the miR2GO software (<ext-link ext-link-type="uri" xlink:href="https://compbio.uthsc.edu/miR2GO/home.php">https://compbio.uthsc.edu/miR2GO/home.php</ext-link>), (<xref ref-type="bibr" rid="B5">Bhattacharya and Cui, 2015</xref>). Interestingly, the seed variants residing in <italic>MIR656, MIR885</italic> and <italic>MIR423</italic> are predicted to create potential binding sites for these miRNAs with the mRNA transcripts 2 and 3 of <italic>C9orf72</italic>, a major causal gene of FTLD (<xref ref-type="bibr" rid="B15">DeJesus-Hernandez et al., 2011</xref>; <xref ref-type="bibr" rid="B21">Gijselinck et al., 2012</xref>; <xref ref-type="bibr" rid="B52">Renton et al., 2011</xref>). The seed variant in <italic>MIR423</italic> also creates a binding site at the 3&#x2032; UTR of <italic>FUS,</italic> a gene genetically and functionally associated with FTD/ALS (<xref ref-type="bibr" rid="B46">Nolan et al., 2016</xref>; <xref ref-type="bibr" rid="B64">van Tartwijk et al., 2024</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Rare miRNA seed variants in FTD patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Genomic position<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="center">dbSNP153</th>
<th align="center">miRNA</th>
<th align="center">FTD carriers (MAF, n &#x3d; 209, %)</th>
<th align="center">GnomAD (MAF, European_non Finnish, %)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">chr3: 10436198</td>
<td align="center">rs941703617</td>
<td align="center">
<italic>MIR885</italic>
</td>
<td align="center">1 (0.24)</td>
<td align="center">0.009</td>
</tr>
<tr>
<td align="center">chr14: 101533070</td>
<td align="center">&#x2014;</td>
<td align="center">
<italic>MIR656</italic>
</td>
<td align="center">1 (0.24)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">chr17: 28444118</td>
<td align="center">rs766187585</td>
<td align="center">
<italic>MIR423</italic>
</td>
<td align="center">1 (0.24)</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">chr18: 56118358</td>
<td align="center">rs41292412</td>
<td align="center">
<italic>MIR122</italic>
</td>
<td align="center">4 (0.95)</td>
<td align="center">0.95</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>According to human reference sequence - Human Build 37/human genome 19.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>miRNA variants in FTD patients and controls.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Genomic position<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="center">dbSNP153</th>
<th align="center">Gene</th>
<th align="center">miRNA location<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref>
</th>
<th align="center">MAF in FTD patients (n &#x3d; 335, %)</th>
<th align="center">MAF in controls (n &#x3d; 426, %)</th>
<th align="center">GnomAD (MAF, European_non Finnish, %)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Patients (n &#x3d; 335)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">chr3: 10436198</td>
<td align="center">rs941703617</td>
<td align="center">
<italic>MIR885</italic>
</td>
<td align="center">Seed</td>
<td align="center">0.15</td>
<td align="center">&#x2014;</td>
<td align="center">0.0096</td>
</tr>
<tr>
<td align="center">chr3: 10436244</td>
<td align="center">rs897551430</td>
<td align="center">
<italic>MIR885</italic>
</td>
<td align="center">Arm</td>
<td align="center">0.29</td>
<td align="center">&#x2014;</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="center">
<bold>chr14: 101533070</bold>
</td>
<td align="center">&#x2014;</td>
<td align="center">
<bold>
<italic>MIR656</italic>
</bold>
</td>
<td align="center">
<bold>Seed</bold>
</td>
<td align="center">
<bold>0.29</bold>
</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">
<bold>chr17: 28444118</bold>
</td>
<td align="center">
<bold>rs766187585</bold>
</td>
<td align="center">
<bold>
<italic>MIR423</italic>
</bold>
</td>
<td align="center">
<bold>Seed</bold>
</td>
<td align="center">
<bold>0.15</bold>
</td>
<td align="center">&#x2014;</td>
<td align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td align="center">Controls (n &#x3d; 426)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">chr3: 10436101</td>
<td align="center">rs765699042</td>
<td align="center">
<italic>MIR885</italic>
</td>
<td align="center">Flank</td>
<td align="center">&#x2014;</td>
<td align="center">0.11</td>
<td align="center">0.04</td>
</tr>
<tr>
<td align="center">chr17: 28444162</td>
<td align="center">&#x2014;</td>
<td align="center">
<italic>MIR423</italic>
</td>
<td align="center">Mature</td>
<td align="center">&#x2014;</td>
<td align="center">0.11</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">chr18: 56118343</td>
<td align="center">&#x2014;</td>
<td align="center">
<italic>MIR122</italic>
</td>
<td align="center">Arm</td>
<td align="center">&#x2014;</td>
<td align="center">0.11</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">Both groups</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">
<bold>chr18: 56118358</bold>
</td>
<td align="center">
<bold>rs41292412</bold>
</td>
<td align="center">
<bold>
<italic>MIR122</italic>
</bold>
</td>
<td align="center">
<bold>Seed</bold>
</td>
<td align="center">
<bold>1.6</bold>
</td>
<td align="center">
<bold>0.93</bold>
</td>
<td align="center">
<bold>0.95</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn2">
<label>
<sup>a</sup>
</label>
<p>According to human reference sequence - Human Build 37/human genome 19.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>b</sup>
</label>
<p>Region based on miRVaS annotation. Seed variants identified via WES are highlighted in bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Identification of MIR885 variants in the AD cohort</title>
<p>Interestingly, the miR-885-5p isoform was shown to be downregulated in the brain and serum of AD patients (<xref ref-type="bibr" rid="B61">Takousis et al., 2019</xref>; <xref ref-type="bibr" rid="B63">Tan et al., 2014</xref>). Therefore, we sequenced <italic>MIR885</italic> in the Flanders-Belgian AD cohort (n &#x3d; 947) to investigate whether we could observe an enrichment of <italic>MIR885</italic> variants in AD patients.</p>
<p>We identified the arm variant rs897551430 in 4 LOAD patients and none of the control subjects. In addition, we found 2 rare variants, one in the arm region of the 5p isoform and one in the arm region of the 3p isoform. Each variant was present in 1 LOAD patient and was absent from controls (<xref ref-type="table" rid="T4">Table 4</xref>). All mutations were absent from the HEX database (<ext-link ext-link-type="uri" xlink:href="https://www.alzforum.org/exomes/hex">https://www.alzforum.org/exomes/hex</ext-link>). Rare variant association analysis showed significant enrichment of <italic>MIR885</italic> variants in the AD cohort (SKAT-O p-value &#x3d; 0.026). However, the association was lost after correcting for sex and <italic>APOE</italic> status (p-value &#x3d; 0.16).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Rare <italic>MIR885</italic> variants in AD patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Individual<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</th>
<th align="center">
<italic>APOE</italic> status</th>
<th align="center">AAO</th>
<th align="center">Genomic position<xref ref-type="table-fn" rid="Tfn5">
<sup>b</sup>
</xref>
</th>
<th align="center">dbSNP153</th>
<th align="center">miRNA location<xref ref-type="table-fn" rid="Tfn6">
<sup>c</sup>
</xref>
</th>
<th align="center">miRVaS prediction</th>
<th align="center">MAF in AD patients (n &#x3d; 947, %)</th>
<th align="center">MAF in Controls (n &#x3d; 755, %)</th>
<th align="center">GnomAD (European_non Finnish, %)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">AD1</td>
<td align="center">34</td>
<td align="center">87</td>
<td rowspan="4" align="center">chr3: 10436244</td>
<td rowspan="4" align="center">rs897551430</td>
<td rowspan="4" align="center">arm(5p)</td>
<td rowspan="4" align="center">Structural changes (5p-3p)</td>
<td rowspan="4" align="center">0.2</td>
<td rowspan="4" align="center">&#x2014;</td>
<td rowspan="4" align="center">0.004%</td>
</tr>
<tr>
<td align="center">AD2</td>
<td align="center">34</td>
<td align="center">76</td>
</tr>
<tr>
<td align="center">AD3</td>
<td align="center">34</td>
<td align="center">82</td>
</tr>
<tr>
<td align="center">AD4</td>
<td align="center">24</td>
<td align="center">74</td>
</tr>
<tr>
<td align="center">AD5</td>
<td align="center">34</td>
<td align="center">86</td>
<td align="center">chr3: 10436245</td>
<td align="center">rs993255773</td>
<td align="center">arm(5p)</td>
<td align="center">Structural changes (5p-3p)</td>
<td align="center">0.05</td>
<td align="center">&#x2014;</td>
<td align="center">0.002%</td>
</tr>
<tr>
<td align="center">AD6</td>
<td align="center">44</td>
<td align="center">70</td>
<td align="center">chr3: 10436207</td>
<td align="center">&#x2014;</td>
<td align="center">arm(3p)</td>
<td align="center">No changes</td>
<td align="center">0.05</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn4">
<label>
<sup>a</sup>
</label>
<p>No pathogenic mutations were found in any of the <italic>MIR885</italic> variant carriers.</p>
</fn>
<fn id="Tfn5">
<label>
<sup>b</sup>
</label>
<p>According to human reference sequence - Human Build 37/human genome 19.</p>
</fn>
<fn id="Tfn6">
<label>
<sup>c</sup>
</label>
<p>Region based on miRVaS annotation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>3.3 Structural changes induced by miRNA variants</title>
<p>We assessed the impact of the <italic>MIR885</italic> variants on the secondary structure using miRVaS. While no changes were observed for the variant in the 3p isoform, variants rs897551430 and rs993255773 evoke significant changes in the hairpin structure of the pre-miRNA (<xref ref-type="table" rid="T4">Table 4</xref>; <xref ref-type="fig" rid="F1">Figures 1C, E</xref>), which are also predicted to strongly reduce mature miR-885 levels. Interestingly, structural changes occur to both isoforms, which could be attributed to the altered base pairing in the presence of the mutant alleles (<xref ref-type="fig" rid="F1">Figures 1C, E</xref>; black dots). Structural changes were also observed in presence of the <italic>MIR656</italic> seed variant, identified in 2 FTD patients (<xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>By now, miRNAs are well known to play a critical role in brain development and functions of diverse neuronal populations (<xref ref-type="bibr" rid="B8">Budde et al., 2010</xref>; <xref ref-type="bibr" rid="B62">Tan et al., 2013</xref>). miRNA dysregulation in the brain results in impaired molecular pathways that are shared by NBDs, such as AD and PD (reviewed in (<xref ref-type="bibr" rid="B55">Sadlon et al., 2019</xref>)). Genetic variants can lead to impairment of miRNA functions via different mechanisms, but there is still limited evidence associating miRNA variants with brain neurodegeneration.</p>
<p>For this study, we investigated the possible involvement of miRNA variants in the pathogenicity of FTD and AD. We identified 4 rare seed variants in 4 miRNAs (<italic>MIR122, MIR656, MIR423, MIR885</italic>) in our FTD cohort. Although rare variant association analysis was not feasible due to the small sample size, the presence of such rare variants in our patient cohort could indicate an involvement of these miRNAs in neurodegenerative processes. Indeed, bioinformatic analyses suggest functional implications of these miRNAs/variants related to FTD. miR-885-3p is predicted to bind the 3&#x2032; UTR of <italic>GRN</italic> by both miRmap and TargetScan and this is also validated by HITS-CLIP performed in the human brain cortex (<xref ref-type="bibr" rid="B7">Boudreau et al., 2014</xref>). This interaction warrants functional investigation in a FTD context to elucidate whether progranulin (PGRN) protein levels could be downregulated by miR-885-3p, which would align with the described haploinsufficiency mechanism linking <italic>GRN</italic> loss-of-function mutations with FTD. We also reported seed variants creating new miRNA binding sites at the 3&#x2032; UTRs of <italic>C9orf72 (MIR423, MIR656, MIR856)</italic> and <italic>FUS (MIR423),</italic> with a significant probability score (miRmap, P.over exact &#x3c;0.05). FUS plays a critical role in RNA processing and DNA repair, while C9ORF72 haploinsufficiency has been linked with ALS/FTD via impaired membrane trafficking and autophagic function (<xref ref-type="bibr" rid="B48">Pang and Hu, 2021</xref>; <xref ref-type="bibr" rid="B59">Shi et al., 2018</xref>). These observations need to be interpreted cautiously as predictions need to be experimentally validated. Further, expression patterns for each miRNA-mRNA interaction must be investigated in disease-related tissue to confirm biological relevance. Nonetheless, our genetic and bioinformatic approach suggests miRNA-mediated molecular processes that could contribute to FTD pathogenicity (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Molecular processes involving FTD- and AD-associated genes targeted by the miRNAs described in this study. Dotted inhibition lines correspond to predicted targets for each miRNA, while full black inhibition lines represent experimentally validated targets. Given the predominant function of miRNAs in repressing gene expression, we included molecular pathways that are affected by depleted levels of these genes. Created by <ext-link ext-link-type="uri" xlink:href="https://biorender.com">biorender.com</ext-link>.</p>
</caption>
<graphic xlink:href="fgene-16-1506169-g002.tif"/>
</fig>
<p>
<italic>MIR885</italic> is the most intriguing case. Both the 3p and the 5p isoform are enriched in brain (Human miRNA tissue atlas (<ext-link ext-link-type="uri" xlink:href="https://ccb-web.cs.uni-saarland.de/tissueatlas2">https://ccb-web.cs.uni-saarland.de/tissueatlas2</ext-link>, (<xref ref-type="bibr" rid="B28">Keller et al., 2021</xref>; <xref ref-type="bibr" rid="B37">Ludwig et al., 2016</xref>)), suggesting a distinct function for <italic>MIR885</italic> in brain. The 5p isoform is the leading strand, which is quite common for mature miRNAs derived from the same precursor (<xref ref-type="bibr" rid="B39">McCall et al., 2017</xref>). miR-885-5p is predicted to bind the <italic>SORT1</italic> gene, encoding sortilin 1, with very strong affinity metrics (TargetScan v.8, miRDB and miRmap v.1.1). Sortilin 1 is a known regulator of PGRN levels, as it mediates PGRN lysosomal trafficking, leading to reduced extracellular PGRN levels (<xref ref-type="bibr" rid="B25">Hu et al., 2010</xref>). Common variants adjacent to the <italic>SORT1</italic> gene have been associated with reduced PGRN levels in plasma in control subjects and FTD patients (<xref ref-type="bibr" rid="B12">Carrasquillo et al., 2010</xref>), while rare <italic>SORT1</italic> variants have been associated with increased risk for FTD in different populations (<xref ref-type="bibr" rid="B49">Philtjens et al., 2018</xref>). Also, a recent GWAS identified a <italic>SORT1</italic> missense mutation as the sentinel SNP in a novel risk locus for AD (<xref ref-type="bibr" rid="B4">Bellenguez et al., 2022</xref>). Involvement of miR-885-5p in disease pathogenesis could be investigated via direct interaction with <italic>SORT1</italic>, where altered sortilin 1 expression might dysregulate unique or shared pathways between FTD and AD leading to neurodegeneration. Another study described the miR-885-5p interaction with matrix metalloprotease 9 (MMP9) in glioma cells (<xref ref-type="bibr" rid="B67">Yan et al., 2011</xref>). MMP9 is a potential AD biomarker for disease progression, with higher serum levels of MMP9 correlated with faster cognitive decline in patients with mild cognitive impairment attributed to AD (<xref ref-type="bibr" rid="B1">Abe et al., 2020</xref>). This is aligned with another study, which identified higher MMP9 levels in the brain of AD patients with a later Braak stage (<xref ref-type="bibr" rid="B24">Hernandes-Alejandro et al., 2020</xref>). Taken together, a potential involvement of miR-885-5p in AD could be attributed to its interaction with MMP9.</p>
<p>Both SORT1 and MMP9 are reported to assist in the degradation and clearance of toxic &#x391;&#x3b2; aggregates (<xref ref-type="bibr" rid="B51">Radosinska and Radosinska, 2025</xref>; <xref ref-type="bibr" rid="B54">Ruan et al., 2018</xref>). However, their neuroprotective function can be attenuated by the presence of APOE &#x395;4 (<xref ref-type="bibr" rid="B3">Asaro et al., 2020</xref>; <xref ref-type="bibr" rid="B57">Shackleton et al., 2019</xref>). Therefore, any mechanistic impact derived from their interaction with miR-885-5p could be masked by the inarguably higher effect in the presence of an APOE E4 isoform. A recent study showcased that circ_0003611 (<italic>circLPAR1</italic>), a circular RNA upregulated in AD (<xref ref-type="bibr" rid="B35">Li et al., 2020</xref>), acts as a sponge for miR-885-5p (<xref ref-type="bibr" rid="B47">Pan et al., 2022</xref>). Downregulation of <italic>circPARL1</italic> significantly reduced &#x391;&#x3b2;-induced apoptosis, inflammation and oxidative stress in a human neuroblastoma cell line (SK-N-SH cells) (<xref ref-type="bibr" rid="B47">Pan et al., 2022</xref>). A similar effect was observed in A&#x3b2;-treated SK-N-SH cells after exogenous miR-885-5p administration. This mitigation of &#x391;&#x3b2;-induced pathology was attributed to miR-885-5p binding and reducing transcript levels of KREMEN1, a gene previously implicated in AD via noncoding RNA interactions (<xref ref-type="bibr" rid="B66">Wang et al., 2019</xref>). These results further support a protective role for miR-885-5p in AD, independent of APOE status, via alleviating A&#x3b2;-induced inflammation, which appears to be exacerbated when miR-885-5p levels are depleted (<xref ref-type="fig" rid="F2">Figure 2</xref>). Investigation of miR-885-5p function in a knockdown model using neuronal-like cell types would provide valuable insights of its implication in neurodegenerative processes.</p>
<p>We identified 2 ultra-rare <italic>MIR885</italic> variants (rs941703617, rs897551430) in 3 FTD patients (<xref ref-type="table" rid="T3">Table 3</xref>), both absent from control subjects and the HEX database (<ext-link ext-link-type="uri" xlink:href="https://www.alzforum.org/exomes/hex">https://www.alzforum.org/exomes/hex</ext-link>). Extending our screening in our AD cohort, we identified rs897551430 in 4 LOAD patients, as well as two other rare variants in 2 LOAD patients (<xref ref-type="table" rid="T4">Table 4</xref>). Variants rs897551430 and rs993255773 are predicted to strongly decrease pre-miRNA-885 levels (miRNASNP v3, <ext-link ext-link-type="uri" xlink:href="http://bioinfo.life.hust.edu.cn/miRNASNP/">http://bioinfo.life.hust.edu.cn/miRNASNP/</ext-link>). This is also supported by the prominent changes caused to the secondary miRNA structure in the presence of each mutant allele (<xref ref-type="fig" rid="F1">Figure 1</xref>). Both variants are located at the 5&#x2032; end of the 5p isoform, which corresponds to the lower stem and could thus affect processing of the pri-miRNA by the DGCR8-Drosha complex (<xref ref-type="bibr" rid="B6">Bofill-De Ros et al., 2019</xref>; <xref ref-type="bibr" rid="B38">Ma et al., 2013</xref>). Rare variant association analysis initially showed a significant enrichment for <italic>MIR885</italic> variants in our AD cohort (SKAT-O p-value &#x3d; 0.026). However, upon the integration of sex and <italic>APOE</italic> genotypes as covariates, the genetic association was lost. Genetic studies on rare variants are inherently challenging. A recent study performed region-based rare variant association analysis using whole-genome sequencing data of &#x3e;6,000 amyotrophic lateral sclerosis (ALS) patients and &#x3e;70,000 healthy controls to explore the noncoding genome (<xref ref-type="bibr" rid="B16">Eitan et al., 2022</xref>). Despite the large cohort size, no disease association was found for any of the identified miRNA variants. This was, partially, attributed to the small genomic size of miRNAs (&#x223c;120 nucleotides), which significantly hinders gene-burden analysis for rare variants, as it requires a dramatic increase in sample size to prevent missing risk or potentially causal genetic variation. The importance of using large population datasets was also underscored in the most recent phenome-wide association study which used genetic and clinical data from over 400,000 participants of the UK BioBank and showcased the pleiotropic effect of common miRNA variants (<xref ref-type="bibr" rid="B44">Mustafa et al., 2023</xref>). That said, we believe that the observed genetic enrichment of ultra-rare variants before <italic>APOE</italic> status and sex correction in our relatively small cohort size endorses genetic screening in extended cohorts or integration of publicly available AD and FTD genetic data to substantially increase the power to test for a possible association with disease risk.</p>
<p>In conclusion, we identified rare genetic variants of brain-expressed miRNAs in patients with NBDs. Functional investigation for all variants is warranted, as they are predicted to target disease-associated genes. Elucidation of miRNA function in neurodegeneration will pave the way for novel therapeutic approaches for brain disorders. Furthermore, given that miRNAs constitute robust biomarkers, establishing miRNA expression profiles in a disease-related context could offer opportunities for earlier and improved differential diagnosis. We believe that the genetic findings presented for <italic>MIR885</italic> suggest an implication for this miRNA gene in AD pathology and underscore the disease relevance of genetic variation in noncoding genomic regions.</p>
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</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Antwerp University Hospital (UZA)/University of Antwerp approval number: 20/44/568. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>AF: Conceptualization, Formal Analysis, Investigation, Methodology, Visualization, Writing&#x2013;original draft. RC: Conceptualization, Methodology, Writing&#x2013;review and editing. JV: Writing&#x2013;review and editing. CV: Conceptualization, Funding acquisition, Resources, Supervision, Writing&#x2013;review and editing. EW: Conceptualization, Funding acquisition, Methodology, Supervision, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The research was in part supported by the Flemish Government initiated Methusalem excellence program, the Flanders Impulse Program on Networks for Dementia Research (VIND), the Research Foundation Flanders (FWO) and the Belgium Alzheimer Research Foundation (SAO). EW received a postdoctoral fellowship of the FWO.</p>
</sec>
<ack>
<p>The authors are thankful for the contributions of the personnel of the VIB CMN Neuromics Support Facility, the DNA Screening Facility, and the Human NBD Biobank of our research group.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
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<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fgene.2025.1506169/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgene.2025.1506169/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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